python /home/admin/mtr/script_for_cron.py -j python_test3 -m 12 -a ' --short_python3 -v ' -s python_test3 -M 0 -S 0 -U 100,100,120
 import MySQLdb succeeded 
Import error (python version)
python version = 3
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
 list_job_run_as_list :  ['mask_detection', 'datou', 'CacheModelData_queries', 'CachePhotoData_queries', 'test_fork', 'prepare_maskdata', 'portfolio_queries', 'sla_mensuel']
python version used : 3
 liste_fichiers : [('tests/mask_test', True, 'Test mask-detection ', 'mask_detection'), ('tests/datou_test', True, 'Datou All Test', 'datou', 'all'), ('mtr/database_queries/CacheModelData_queries', True, 'Test Cache Model Data', 'CacheModelData_queries'), ('tests/cache_photo_data_test', True, 'Test local_cache_photo ', 'CachePhotoData_queries'), ('mtr/mask_rcnn/prepare_maskdata', True, 'test prepare mask data', 'prepare_maskdata', 'all'), ('mtr/database_queries/portfolio_queries', True, 'test portfolio queries', 'portfolio_queries'), ('prod/memo/memo', True, 'SLA Mensuel', 'sla_mensuel', 'all')]


#&_# BEGIN OF TEST : tests/mask_test #&_# 


/home/admin/workarea/git/Velours/python/tests/mask_test.py
<module 'tests.mask_test' from '/home/admin/workarea/git/Velours/python/tests/mask_test.py'>
Test mask-detection 
python version used : 3

############################### TEST memory used  ################################
free memory at begining : 
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 10593

run mask_detect

Inside batchDatouExec : verbose : False
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
List Step Type Loaded in datou : mask_detect
list_input_json : []
origin
BFwe have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
time to download the photos : 0.17568445205688477
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : False
number of steps :  1
step1:mask_detect
Wed Feb 26 15:35:28 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
l 3637 free memory gpu now : 10593  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
/home/admin/workarea/git/Velours/python/tests/python_tests.py:11: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
  import imp
2025-02-26 15:35:32.425734: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-02-26 15:35:32.463304: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-02-26 15:35:32.465477: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f2f6c000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-02-26 15:35:32.465558: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-02-26 15:35:32.471670: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-02-26 15:35:32.771312: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x89c0b60 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-02-26 15:35:32.771379: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-02-26 15:35:32.772757: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-26 15:35:32.775204: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 15:35:32.810804: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 15:35:32.830380: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-26 15:35:32.833879: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-26 15:35:32.872015: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-26 15:35:32.878491: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-26 15:35:32.945846: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 15:35:32.948292: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-26 15:35:32.948751: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 15:35:32.950215: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-26 15:35:32.950236: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-26 15:35:32.950247: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-26 15:35:32.952517: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9815 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.

Inside mask_sub_process
Inside mask_detect 
About to load cache.load_thcl_param 
To do loadFromThcl(), then load ParamDescType : thcl454
 thcls : [{'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}]
 thcl {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}
 Update svm_hashtag_type_desc : 3473
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21))
{'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0}
list_class_names : 
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']

Configurations:
BACKBONE                       resnet101
BACKBONE_SHAPES                [[160 160]
 [ 80  80]
 [ 40  40]
 [ 20  20]
 [ 10  10]]
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     1
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.3
DETECTION_NMS_THRESHOLD        0.3
GPU_COUNT                      1
IMAGES_PER_GPU                 1
IMAGE_MAX_DIM                  640
IMAGE_MIN_DIM                  640
IMAGE_PADDING                  True
IMAGE_SHAPE                    [640 640   3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE                 14
MASK_SHAPE                     [28, 28]
MAX_GT_INSTANCES               100
MEAN_PIXEL                     [123.7 116.8 103.9]
MINI_MASK_SHAPE                (56, 56)
NAME                           mask_coco_origin
NUM_CLASSES                    81
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
ROI_POSITIVE_RATIO             0.33
RPN_ANCHOR_RATIOS              [0.5, 1, 2]
RPN_ANCHOR_SCALES              (16, 32, 64, 128, 256)
RPN_ANCHOR_STRIDE              1
2025-02-26 15:35:33.681236: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-26 15:35:33.681329: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 15:35:33.681349: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 15:35:33.681367: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-26 15:35:33.681384: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-26 15:35:33.681401: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-26 15:35:33.681429: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-26 15:35:33.681447: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 15:35:33.682857: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-26 15:35:33.684150: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-26 15:35:33.684208: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 15:35:33.684229: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 15:35:33.684248: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-26 15:35:33.684265: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-26 15:35:33.684283: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-26 15:35:33.684300: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-26 15:35:33.684318: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 15:35:33.685883: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-26 15:35:33.685919: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-26 15:35:33.685930: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-26 15:35:33.685940: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-26 15:35:33.687606: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9815 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
Using TensorFlow backend.
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:396: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:703: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:729: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


model_param file didn't exist 
model_name : mask_coco_origin
model_type : mask_rcnn
list file need :
['mask_model.h5']
file exist in s3 :
['mask_model.h5']
file manque in s3 : 
[]
2025-02-26 15:35:43.936747: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 15:35:44.302571: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 15:35:47.147386: E tensorflow/stream_executor/cuda/cuda_driver.cc:910] failed to synchronize the stop event: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered
2025-02-26 15:35:47.147510: E tensorflow/stream_executor/gpu/gpu_timer.cc:55] Internal: Error destroying CUDA event: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered
2025-02-26 15:35:47.147529: E tensorflow/stream_executor/gpu/gpu_timer.cc:60] Internal: Error destroying CUDA event: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered
2025-02-26 15:35:47.147575: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 8B (8 bytes) from device: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered
2025-02-26 15:35:47.147597: E tensorflow/stream_executor/stream.cc:5485] Internal: Failed to enqueue async memset operation: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered
2025-02-26 15:35:47.147622: W tensorflow/core/kernels/gpu_utils.cc:69] Failed to check cudnn convolutions for out-of-bounds reads and writes with an error message: 'Failed to load in-memory CUBIN: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered'; skipping this check. This only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once.
2025-02-26 15:35:47.147638: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 8B (8 bytes) from device: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered
2025-02-26 15:35:47.147654: I tensorflow/stream_executor/stream.cc:4963] [stream=0x99421a0,impl=0x9941190] did not memzero GPU location; source: 0x7f2dd1ff9020
2025-02-26 15:35:47.148256: F ./tensorflow/core/kernels/reduction_gpu_kernels.cu.h:731] Non-OK-status: GpuLaunchKernel(RowReduceKernel<IN_T, OUT_T, Op>, num_blocks, threads_per_block, 0, cu_stream, in, out, num_rows, num_cols, op, init) status: Internal: an illegal memory access was encountered
max_time_sub_proc : 3600

Useless call to update_current_state
in case -12
caffe_path_current : 
About to save ! 1
Inside saveOutput : final : True verbose : False
eke 12-6-18 : saveMask need to be cleaned for new output !
ERROR : mask output needs to be a dictionnary now !
No output to save, continue without doing anything !

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : -12
free memory after detection : 
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 10372

############################### TEST detect object  ################################

run mask_detect

Inside batchDatouExec : verbose : False
Catched exception !
Connect or reconnect !
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
List Step Type Loaded in datou : mask_detect
list_input_json : []
origin
BFwe have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
time to download the photos : 0.18919944763183594
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : False
number of steps :  1
step1:mask_detect
Wed Feb 26 16:35:31 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
l 3637 free memory gpu now : 10372  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-02-26 16:35:35.206924: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-02-26 16:35:35.235197: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-02-26 16:35:35.237484: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f2f6c000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-02-26 16:35:35.237554: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-02-26 16:35:35.242319: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-02-26 16:35:35.519927: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x85c7cf0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-02-26 16:35:35.520001: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-02-26 16:35:35.521665: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-26 16:35:35.522215: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 16:35:35.526286: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 16:35:35.529102: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-26 16:35:35.529641: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-26 16:35:35.532650: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-26 16:35:35.534077: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-26 16:35:35.540175: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 16:35:35.542041: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-26 16:35:35.542222: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 16:35:35.543166: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-26 16:35:35.543188: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-26 16:35:35.543200: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-26 16:35:35.545268: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9607 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.

Inside mask_sub_process
Inside mask_detect 
About to load cache.load_thcl_param 
To do loadFromThcl(), then load ParamDescType : thcl454
 thcls : [{'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}]
 thcl {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}
 Update svm_hashtag_type_desc : 3473
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21))
{'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0}
list_class_names : 
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']

Configurations:
BACKBONE                       resnet101
BACKBONE_SHAPES                [[160 160]
 [ 80  80]
 [ 40  40]
 [ 20  20]
 [ 10  10]]
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     1
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.3
DETECTION_NMS_THRESHOLD        0.3
GPU_COUNT                      1
IMAGES_PER_GPU                 1
IMAGE_MAX_DIM                  640
IMAGE_MIN_DIM                  640
IMAGE_PADDING                  True
IMAGE_SHAPE                    [640 640   3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE                 14
MASK_SHAPE                     [28, 28]
MAX_GT_INSTANCES               100
MEAN_PIXEL                     [123.7 116.8 103.9]
MINI_MASK_SHAPE                (56, 56)
NAME                           mask_coco_origin
NUM_CLASSES                    81
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
ROI_POSITIVE_RATIO             0.33
RPN_ANCHOR_RATIOS              [0.5, 1, 2]
RPN_ANCHOR_SCALES              (16, 32, 64, 128, 256)
RPN_ANCHOR_STRIDE              1
2025-02-26 16:35:36.252771: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-26 16:35:36.252929: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 16:35:36.252971: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 16:35:36.253007: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-26 16:35:36.253045: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-26 16:35:36.253078: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-26 16:35:36.253115: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-26 16:35:36.253151: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 16:35:36.255296: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-26 16:35:36.256719: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-26 16:35:36.256767: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 16:35:36.256784: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 16:35:36.256799: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-26 16:35:36.256813: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-26 16:35:36.256827: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-26 16:35:36.256842: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-26 16:35:36.256856: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 16:35:36.258167: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-26 16:35:36.258200: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-26 16:35:36.258209: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-26 16:35:36.258217: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-26 16:35:36.259587: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9607 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
Using TensorFlow backend.
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:396: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:703: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:729: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


model_param file didn't exist 
model_name : mask_coco_origin
model_type : mask_rcnn
list file need :
['mask_model.h5']
file exist in s3 :
['mask_model.h5']
file manque in s3 : 
[]
2025-02-26 16:35:43.933916: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 16:35:44.121767: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
local folder  : /data/models_weight/mask_coco_origin


/data/models_weight/mask_coco_origin/mask_model.h5
size_local : 257557808 size in s3 : 257557808
create time local : 2021-08-09 05:27:17 create time in s3 : 2021-08-06 19:45:17
mask_model.h5 already exist and didn't need to update
 list_images length : 1
NEW PHOTO
Processing 1 images
image                    shape: (720, 1280, 3)        min:    0.00000  max:  255.00000
molded_images            shape: (1, 640, 640, 3)      min: -123.70000  max:  151.10000
image_metas              shape: (1, 89)               min:    0.00000  max: 1280.00000
nb d'objets trouves : 4
Detection mask done !
Trying to reset tf kernel
3447255
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 4848
tf kernel not reseted
sub process len(results) : 1 len(list_Values) 0
None
max_time_sub_proc : 3600
parent process len(results) : 1 len(list_Values) 0
process is alive
finish correctly or not : True

 after detect 

begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 9573
list_Values should be empty []
To do loadFromThcl(), then load ParamDescType : thcl454
Catched exception !
Connect or reconnect !
 thcls : [{'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}]
 thcl {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}
 Update svm_hashtag_type_desc : 3473
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']
time for calcul the mask position with numpy : 0.00041961669921875
nb_pixel_total : 16902
time to create 1 rle with old method : 0.019695520401000977
length of segment :  107
time for calcul the mask position with numpy : 0.46298956871032715
nb_pixel_total : 480742
time to create 1 rle with new method : 0.0345304012298584
length of segment :  632
time for calcul the mask position with numpy : 0.0005657672882080078
nb_pixel_total : 36584
time to create 1 rle with old method : 0.043317317962646484
length of segment :  132
time for calcul the mask position with numpy : 0.00019073486328125
nb_pixel_total : 4794
time to create 1 rle with old method : 0.0062944889068603516
length of segment :  51

time spent for convertir_results : 1.4962801933288574

time spend for datou_step_exec : 20.104758739471436
time spend to save output : 4.410743713378906e-05
total time spend for step 1 : 20.10480284690857

caffe_path_current : 
About to save ! 1
Inside saveOutput : final : True verbose : False
eke 12-6-18 : saveMask need to be cleaned for new output !
Number saved : None
batch 1
Loaded 400 chid ids of type : 445
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
time used for this insertion : 0.012508630752563477

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {'917855882': [[(917855882, 492601069, 445, 1092, 1280, 0, 108, 0.99883586, [(1205, 1, 58), (1165, 2, 105), (1159, 3, 113), (1149, 4, 124), (1113, 5, 161), (1100, 6, 174), (1097, 7, 177), (1095, 8, 179), (1095, 9, 179), (1095, 10, 179), (1095, 11, 179), (1095, 12, 179), (1095, 13, 179), (1095, 14, 178), (1095, 15, 178), (1095, 16, 178), (1095, 17, 178), (1095, 18, 177), (1095, 19, 177), (1095, 20, 177), (1095, 21, 177), (1095, 22, 177), (1095, 23, 178), (1095, 24, 178), (1095, 25, 178), (1095, 26, 179), (1095, 27, 179), (1095, 28, 180), (1095, 29, 181), (1095, 30, 182), (1095, 31, 183), (1095, 32, 183), (1095, 33, 184), (1095, 34, 184), (1096, 35, 183), (1096, 36, 183), (1096, 37, 184), (1097, 38, 183), (1097, 39, 183), (1097, 40, 183), (1098, 41, 182), (1098, 42, 182), (1098, 43, 182), (1099, 44, 181), (1099, 45, 181), (1099, 46, 181), (1100, 47, 180), (1100, 48, 180), (1101, 49, 179), (1101, 50, 179), (1102, 51, 178), (1102, 52, 178), (1103, 53, 177), (1103, 54, 177), (1104, 55, 176), (1104, 56, 176), (1104, 57, 176), (1104, 58, 176), (1105, 59, 175), (1105, 60, 175), (1105, 61, 175), (1105, 62, 175), (1105, 63, 175), (1106, 64, 174), (1106, 65, 174), (1106, 66, 174), (1106, 67, 174), (1106, 68, 174), (1106, 69, 174), (1106, 70, 174), (1106, 71, 174), (1106, 72, 174), (1106, 73, 174), (1107, 74, 173), (1107, 75, 173), (1107, 76, 173), (1107, 77, 173), (1107, 78, 173), (1107, 79, 173), (1108, 80, 172), (1108, 81, 172), (1109, 82, 171), (1110, 83, 170), (1110, 84, 170), (1111, 85, 169), (1112, 86, 168), (1113, 87, 166), (1114, 88, 165), (1115, 89, 164), (1117, 90, 162), (1120, 91, 159), (1138, 92, 141), (1146, 93, 133), (1154, 94, 125), (1167, 95, 112), (1177, 96, 102), (1183, 97, 95), (1185, 98, 93), (1187, 99, 90), (1188, 100, 55), (1264, 100, 12), (1190, 101, 50), (1191, 102, 46), (1194, 103, 40), (1197, 104, 34), (1202, 105, 25), (1207, 106, 16)], ['1222,106,1207,106,1206,105,1197,104,1191,102,1182,96,1176,95,1167,95,1166,94,1154,94,1153,93,1146,93,1145,92,1137,91,1120,91,1115,89,1110,84,1107,79,1106,73,1106,64,1104,55,1099,46,1095,34,1095,8,1100,6,1112,6,1113,5,1148,5,1149,4,1158,4,1165,2,1204,2,1205,1,1262,1,1269,2,1273,5,1273,13,1271,18,1271,22,1273,27,1277,31,1279,37,1279,86,1278,87,1278,96,1275,100,1264,100,1263,99,1243,99,1230,104']), (917855882, 492601069, 445, 52, 1128, 16, 668, 0.99775285, [(711, 22, 21), (925, 22, 47), (608, 23, 146), (894, 23, 103), (598, 24, 234), (850, 24, 158), (590, 25, 427), (582, 26, 444), (575, 27, 458), (569, 28, 466), (565, 29, 472), (561, 30, 479), (556, 31, 486), (550, 32, 495), (545, 33, 502), (538, 34, 512), (532, 35, 520), (527, 36, 527), (523, 37, 534), (518, 38, 541), (514, 39, 548), (510, 40, 554), (506, 41, 561), (503, 42, 566), (499, 43, 572), (496, 44, 577), (493, 45, 582), (491, 46, 585), (489, 47, 589), (487, 48, 592), (485, 49, 595), (483, 50, 598), (482, 51, 600), (481, 52, 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############################### TEST POLYGON  ################################
Inside batchDatouExec : verbose : False
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
List Step Type Loaded in datou : mask_detect
list_input_json : []
origin
BFwe have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
time to download the photos : 0.16332292556762695
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : False
number of steps :  1
step1:mask_detect
Wed Feb 26 16:35:51 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Beginning of datou step mask_detect !
save_polygon : True

 begin detect 

begin to check gpu status 
inside check gpu memory
l 3637 free memory gpu now : 9573  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-02-26 16:35:54.525451: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-02-26 16:35:54.535099: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-02-26 16:35:54.536851: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f2f70000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-02-26 16:35:54.536876: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-02-26 16:35:54.540233: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-02-26 16:35:54.674538: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x92322d0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-02-26 16:35:54.674606: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-02-26 16:35:54.675468: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-26 16:35:54.675875: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 16:35:54.678190: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 16:35:54.680649: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-26 16:35:54.681151: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-26 16:35:54.684305: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-26 16:35:54.685810: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-26 16:35:54.690988: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 16:35:54.692569: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-26 16:35:54.692678: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 16:35:54.693475: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-26 16:35:54.693493: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-26 16:35:54.693502: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-26 16:35:54.694908: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8856 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.

2025-02-26 16:35:54.924553: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-26 16:35:54.924675: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 16:35:54.924695: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 16:35:54.924728: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-26 16:35:54.924750: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-26 16:35:54.924767: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-26 16:35:54.924783: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-26 16:35:54.924800: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 16:35:54.925982: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-26 16:35:54.927142: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-26 16:35:54.927187: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 16:35:54.927209: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 16:35:54.927229: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-26 16:35:54.927247: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-26 16:35:54.927265: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-26 16:35:54.927289: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-26 16:35:54.927332: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 16:35:54.928596: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-26 16:35:54.928638: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-26 16:35:54.928647: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-26 16:35:54.928655: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-26 16:35:54.930278: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8856 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
Using TensorFlow backend.
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:396: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:703: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:729: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
Inside mask_sub_process
Inside mask_detect 
About to load cache.load_thcl_param 
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21))
{'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0}
list_class_names : 
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']

Configurations:
BACKBONE                       resnet101
BACKBONE_SHAPES                [[160 160]
 [ 80  80]
 [ 40  40]
 [ 20  20]
 [ 10  10]]
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     1
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.3
DETECTION_NMS_THRESHOLD        0.3
GPU_COUNT                      1
IMAGES_PER_GPU                 1
IMAGE_MAX_DIM                  640
IMAGE_MIN_DIM                  640
IMAGE_PADDING                  True
IMAGE_SHAPE                    [640 640   3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE                 14
MASK_SHAPE                     [28, 28]
MAX_GT_INSTANCES               100
MEAN_PIXEL                     [123.7 116.8 103.9]
MINI_MASK_SHAPE                (56, 56)
NAME                           mask_coco_origin
NUM_CLASSES                    81
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
ROI_POSITIVE_RATIO             0.33
RPN_ANCHOR_RATIOS              [0.5, 1, 2]
RPN_ANCHOR_SCALES              (16, 32, 64, 128, 256)
RPN_ANCHOR_STRIDE              1
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                1000
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001


model_param file didn't exist 
model_name : mask_coco_origin
model_type : mask_rcnn
list file need :
['mask_model.h5']
file exist in s3 :
['mask_model.h5']
file manque in s3 : 
[]
2025-02-26 16:36:03.803004: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 16:36:03.979626: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 16:36:05.426716: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
local folder  : /data/models_weight/mask_coco_origin


/data/models_weight/mask_coco_origin/mask_model.h5
size_local : 257557808 size in s3 : 257557808
create time local : 2021-08-09 05:27:17 create time in s3 : 2021-08-06 19:45:17
mask_model.h5 already exist and didn't need to update
 list_images length : 1
NEW PHOTO
Processing 1 images
image                    shape: (2448, 2448, 3)       min:    0.00000  max:  255.00000
molded_images            shape: (1, 640, 640, 3)      min: -123.70000  max:  151.10000
image_metas              shape: (1, 89)               min:    0.00000  max: 2448.00000
nb d'objets trouves : 1
Detection mask done !
Trying to reset tf kernel
3448659
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 202
tf kernel not reseted
sub process len(results) : 1 len(list_Values) 0
None
max_time_sub_proc : 3600
parent process len(results) : 1 len(list_Values) 0
process is alive
finish correctly or not : True

 after detect 

begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 5083
list_Values should be empty []
['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush']
time for calcul the mask position with numpy : 0.3171374797821045
nb_pixel_total : 3697222
time to create 1 rle with new method : 0.2617485523223877
length of segment :  2043

time spent for convertir_results : 1.518763542175293

time spend for datou_step_exec : 19.755828619003296
time spend to save output : 3.457069396972656e-05
total time spend for step 1 : 19.755863189697266

caffe_path_current : 
About to save ! 1
Inside saveOutput : final : True verbose : False
eke 12-6-18 : saveMask need to be cleaned for new output !
Catched exception !
Connect or reconnect !
Number saved : None
batch 1
Loaded 719 chid ids of type : 445
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
time used for this insertion : 0.014949798583984375

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {'917877156': [[(917877156, 492601069, 445, 0, 2279, 103, 2222, 0.9818184, [(1250, 110, 27), (652, 111, 289), (1203, 111, 134), (614, 112, 376), (1081, 112, 346), (525, 113, 909), (518, 114, 922), (511, 115, 935), (505, 116, 948), (499, 117, 959), (492, 118, 972), (487, 119, 983), (481, 120, 994), (476, 121, 1004), (470, 122, 1015), (465, 123, 1024), (460, 124, 1034), (456, 125, 1042), (451, 126, 1052), (447, 127, 1061), (442, 128, 1076), (438, 129, 1089), (434, 130, 1102), (430, 131, 1115), (427, 132, 1126), (423, 133, 1139), (420, 134, 1149), (416, 135, 1161), (413, 136, 1172), (409, 137, 1181), (406, 138, 1187), (403, 139, 1193), (400, 140, 1200), (397, 141, 1206), (394, 142, 1212), (391, 143, 1218), (388, 144, 1225), (385, 145, 1231), (382, 146, 1238), (379, 147, 1245), (375, 148, 1252), (372, 149, 1259), (368, 150, 1267), (365, 151, 1275), (363, 152, 1281), (360, 153, 1288), (358, 154, 1295), (355, 155, 1303), (353, 156, 1310), (350, 157, 1318), (348, 158, 1325), (345, 159, 1333), (342, 160, 1341), (339, 161, 1350), (336, 162, 1358), (333, 163, 1367), (330, 164, 1376), (327, 165, 1385), (324, 166, 1395), (321, 167, 1404), (317, 168, 1415), (314, 169, 1426), (311, 170, 1436), (307, 171, 1448), (303, 172, 1461), (299, 173, 1473), (296, 174, 1485), (292, 175, 1497), (288, 176, 1510), (284, 177, 1523), (280, 178, 1536), (277, 179, 1548), (274, 180, 1559), (271, 181, 1567), (268, 182, 1574), (266, 183, 1580), (263, 184, 1588), (260, 185, 1595), (258, 186, 1600), (255, 187, 1607), (253, 188, 1613), (250, 189, 1619), (248, 190, 1625), (245, 191, 1631), (243, 192, 1636), (241, 193, 1641), (239, 194, 1646), (237, 195, 1651), (235, 196, 1656), (233, 197, 1661), (231, 198, 1665), (229, 199, 1670), (227, 200, 1674), (225, 201, 1679), (223, 202, 1683), (222, 203, 1686), (220, 204, 1691), (218, 205, 1695), (217, 206, 1697), (215, 207, 1700), (213, 208, 1704), (212, 209, 1706), (210, 210, 1709), (209, 211, 1711), (207, 212, 1715), (206, 213, 1717), (205, 214, 1719), (203, 215, 1722), (202, 216, 1724), (201, 217, 1726), (199, 218, 1729), (198, 219, 1731), (197, 220, 1732), (195, 221, 1735), (194, 222, 1737), (193, 223, 1739), (192, 224, 1741), (190, 225, 1744), (189, 226, 1746), (187, 227, 1749), (186, 228, 1751), (185, 229, 1753), (183, 230, 1756), (182, 231, 1758), (180, 232, 1762), (179, 233, 1764), (178, 234, 1766), (176, 235, 1769), (175, 236, 1771), (173, 237, 1774), (172, 238, 1776), (170, 239, 1780), (169, 240, 1782), (167, 241, 1785), (166, 242, 1787), (164, 243, 1791), (163, 244, 1793), (161, 245, 1796), (159, 246, 1799), (158, 247, 1802), (156, 248, 1805), (155, 249, 1808), (153, 250, 1811), (151, 251, 1814), (150, 252, 1817), (148, 253, 1820), (146, 254, 1824), (145, 255, 1826), (143, 256, 1830), (141, 257, 1834), (140, 258, 1836), (138, 259, 1840), (136, 260, 1843), (134, 261, 1847), (132, 262, 1851), (131, 263, 1854), (129, 264, 1857), (127, 265, 1861), (125, 266, 1865), (123, 267, 1869), (122, 268, 1872), (120, 269, 1875), (119, 270, 1878), (118, 271, 1880), (117, 272, 1882), (115, 273, 1886), (114, 274, 1888), (113, 275, 1890), (112, 276, 1892), (111, 277, 1894), (110, 278, 1896), (109, 279, 1898), (108, 280, 1901), (107, 281, 1903), (106, 282, 1905), (106, 283, 1905), (105, 284, 1907), (104, 285, 1909), (103, 286, 1911), (102, 287, 1913), (101, 288, 1915), (101, 289, 1916), (100, 290, 1917), (99, 291, 1919), (99, 292, 1920), (98, 293, 1921), (98, 294, 1922), (97, 295, 1923), (97, 296, 1924), (97, 297, 1924), (96, 298, 1926), (96, 299, 1926), (95, 300, 1928), (95, 301, 1928), (95, 302, 1929), (94, 303, 1930), (94, 304, 1931), (94, 305, 1931), (93, 306, 1933), (93, 307, 1933), (92, 308, 1935), (92, 309, 1935), (92, 310, 1936), (91, 311, 1937), (91, 312, 1938), (91, 313, 1938), (90, 314, 1940), (90, 315, 1940), (89, 316, 1942), (89, 317, 1942), (89, 318, 1943), (88, 319, 1944), (88, 320, 1945), (88, 321, 1945), (87, 322, 1947), (87, 323, 1948), (87, 324, 1948), (86, 325, 1950), (86, 326, 1950), (86, 327, 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nb pixel non reg : 3692295
nb pixel common : 3678933
proportion of common points : 0.9963811125600744
[('test release memory', 'SUCCESS', True), ('test detect objet', 'SUCCESS', True), ('test polygone', 'SUCCESS', True)]
 res_total : True


#&_# TEST SUCCEEDED #&_# : tests/mask_test #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"mask_detection": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','mask_detection','unknown');

#&_# END OF TEST #&_# : tests/mask_test #&_# 





#&_# BEGIN OF TEST : tests/datou_test #&_# 


/home/admin/workarea/git/Velours/python/tests/datou_test.py
<module 'tests.datou_test' from '/home/admin/workarea/git/Velours/python/tests/datou_test.py'>
Datou All Test
python version used : 3

############################### TEST sam  ################################
TEST SAM
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4573

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4573
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4573
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4573
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : sam
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1189321094) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 1189321094
download finish for photo 1189321094
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.23662257194519043
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
WARNING : we have an input that is not a photo, we should get rid of it
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:sam
Wed Feb 26 16:36:16 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584176_3116993_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094}
map_photo_id_path_extension : {1189321094: {'path': 'temp/1740584176_3116993_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png', 'extension': 'png'}}
map_subphoto_mainphoto : {}

Beginning of datou step sam !
pht : 4677
Inside sam : nb paths : 1
(640, 960, 3)
time for calcul the mask position with numpy : 0.005042314529418945
nb_pixel_total : 3747
time to create 1 rle with old method : 0.0064580440521240234
time for calcul the mask position with numpy : 0.004507541656494141
nb_pixel_total : 38797
time to create 1 rle with old method : 0.0747678279876709
time for calcul the mask position with numpy : 0.0020813941955566406
nb_pixel_total : 5612
time to create 1 rle with old method : 0.009397745132446289
time for calcul the mask position with numpy : 0.0019271373748779297
nb_pixel_total : 2398
time to create 1 rle with old method : 0.004011631011962891
time for calcul the mask position with numpy : 0.001988649368286133
nb_pixel_total : 16527
time to create 1 rle with old method : 0.025865793228149414
time for calcul the mask position with numpy : 0.0019350051879882812
nb_pixel_total : 7559
time to create 1 rle with old method : 0.011675596237182617
time for calcul the mask position with numpy : 0.0025069713592529297
nb_pixel_total : 83893
time to create 1 rle with old method : 0.13497352600097656
time for calcul the mask position with numpy : 0.0025091171264648438
nb_pixel_total : 13940
time to create 1 rle with old method : 0.024103164672851562
time for calcul the mask position with numpy : 0.0019257068634033203
nb_pixel_total : 268
time to create 1 rle with old method : 0.0005009174346923828
time for calcul the mask position with numpy : 0.0017592906951904297
nb_pixel_total : 2940
time to create 1 rle with old method : 0.0047454833984375
time for calcul the mask position with numpy : 0.0017347335815429688
nb_pixel_total : 4303
time to create 1 rle with old method : 0.006994962692260742
time for calcul the mask position with numpy : 0.0020742416381835938
nb_pixel_total : 29433
time to create 1 rle with old method : 0.04663538932800293
time for calcul the mask position with numpy : 0.0018465518951416016
nb_pixel_total : 9820
time to create 1 rle with old method : 0.015536069869995117
time for calcul the mask position with numpy : 0.0018410682678222656
nb_pixel_total : 4174
time to create 1 rle with old method : 0.007405281066894531
time for calcul the mask position with numpy : 0.002106189727783203
nb_pixel_total : 1024
time to create 1 rle with old method : 0.0019154548645019531
time for calcul the mask position with numpy : 0.0020782947540283203
nb_pixel_total : 3925
time to create 1 rle with old method : 0.006621360778808594
time for calcul the mask position with numpy : 0.002162933349609375
nb_pixel_total : 1227
time to create 1 rle with old method : 0.0021965503692626953
time for calcul the mask position with numpy : 0.002081632614135742
nb_pixel_total : 6630
time to create 1 rle with old method : 0.011398792266845703
time for calcul the mask position with numpy : 0.0020437240600585938
nb_pixel_total : 10839
time to create 1 rle with old method : 0.01804208755493164
time for calcul the mask position with numpy : 0.0021228790283203125
nb_pixel_total : 4373
time to create 1 rle with old method : 0.007139921188354492
time for calcul the mask position with numpy : 0.0019779205322265625
nb_pixel_total : 1656
time to create 1 rle with old method : 0.0028374195098876953
time for calcul the mask position with numpy : 0.0019371509552001953
nb_pixel_total : 3565
time to create 1 rle with old method : 0.006012916564941406
time for calcul the mask position with numpy : 0.001966714859008789
nb_pixel_total : 887
time to create 1 rle with old method : 0.0015888214111328125
time for calcul the mask position with numpy : 0.0019497871398925781
nb_pixel_total : 1207
time to create 1 rle with old method : 0.0021665096282958984
time for calcul the mask position with numpy : 0.0020685195922851562
nb_pixel_total : 16080
time to create 1 rle with old method : 0.027523040771484375
time for calcul the mask position with numpy : 0.0025267601013183594
nb_pixel_total : 13107
time to create 1 rle with old method : 0.024622678756713867
time for calcul the mask position with numpy : 0.0023925304412841797
nb_pixel_total : 588
time to create 1 rle with old method : 0.0012285709381103516
time for calcul the mask position with numpy : 0.002339601516723633
nb_pixel_total : 2079
time to create 1 rle with old method : 0.004057884216308594
time for calcul the mask position with numpy : 0.0023183822631835938
nb_pixel_total : 871
time to create 1 rle with old method : 0.002321958541870117
time for calcul the mask position with numpy : 0.0036268234252929688
nb_pixel_total : 3258
time to create 1 rle with old method : 0.005693197250366211
time for calcul the mask position with numpy : 0.0019001960754394531
nb_pixel_total : 5496
time to create 1 rle with old method : 0.008092641830444336
time for calcul the mask position with numpy : 0.0016753673553466797
nb_pixel_total : 1507
time to create 1 rle with old method : 0.002248525619506836
time for calcul the mask position with numpy : 0.0017621517181396484
nb_pixel_total : 8612
time to create 1 rle with old method : 0.015239477157592773
time for calcul the mask position with numpy : 0.0016303062438964844
nb_pixel_total : 2808
time to create 1 rle with old method : 0.003500699996948242
time for calcul the mask position with numpy : 0.001554250717163086
nb_pixel_total : 2727
time to create 1 rle with old method : 0.0033359527587890625
time for calcul the mask position with numpy : 0.0015475749969482422
nb_pixel_total : 3912
time to create 1 rle with old method : 0.005199909210205078
time for calcul the mask position with numpy : 0.0015866756439208984
nb_pixel_total : 2447
time to create 1 rle with old method : 0.0032079219818115234
time for calcul the mask position with numpy : 0.001642465591430664
nb_pixel_total : 13131
time to create 1 rle with old method : 0.01669597625732422
time for calcul the mask position with numpy : 0.0016603469848632812
nb_pixel_total : 1208
time to create 1 rle with old method : 0.002347707748413086
time for calcul the mask position with numpy : 0.0018763542175292969
nb_pixel_total : 5417
time to create 1 rle with old method : 0.007354736328125
time for calcul the mask position with numpy : 0.0015385150909423828
nb_pixel_total : 1514
time to create 1 rle with old method : 0.005567312240600586
time for calcul the mask position with numpy : 0.0015444755554199219
nb_pixel_total : 2412
time to create 1 rle with old method : 0.003140687942504883
time for calcul the mask position with numpy : 0.0016727447509765625
nb_pixel_total : 14666
time to create 1 rle with old method : 0.018725156784057617
time for calcul the mask position with numpy : 0.0020961761474609375
nb_pixel_total : 3327
time to create 1 rle with old method : 0.00600123405456543
time for calcul the mask position with numpy : 0.0020415782928466797
nb_pixel_total : 11879
time to create 1 rle with old method : 0.014796257019042969
time for calcul the mask position with numpy : 0.00157928466796875
nb_pixel_total : 1240
time to create 1 rle with old method : 0.0015368461608886719
time for calcul the mask position with numpy : 0.0015311241149902344
nb_pixel_total : 4142
time to create 1 rle with old method : 0.005235910415649414
time for calcul the mask position with numpy : 0.001631021499633789
nb_pixel_total : 7496
time to create 1 rle with old method : 0.009081125259399414
time for calcul the mask position with numpy : 0.0015673637390136719
nb_pixel_total : 10624
time to create 1 rle with old method : 0.012987375259399414
time for calcul the mask position with numpy : 0.00173187255859375
nb_pixel_total : 342
time to create 1 rle with old method : 0.0005614757537841797
time for calcul the mask position with numpy : 0.0017604827880859375
nb_pixel_total : 2035
time to create 1 rle with old method : 0.002668142318725586
time for calcul the mask position with numpy : 0.0015828609466552734
nb_pixel_total : 2402
time to create 1 rle with old method : 0.003289461135864258
time for calcul the mask position with numpy : 0.001741170883178711
nb_pixel_total : 861
time to create 1 rle with old method : 0.0012311935424804688
time for calcul the mask position with numpy : 0.001516103744506836
nb_pixel_total : 2491
time to create 1 rle with old method : 0.0031599998474121094
time for calcul the mask position with numpy : 0.0019464492797851562
nb_pixel_total : 27660
time to create 1 rle with old method : 0.044451236724853516
time for calcul the mask position with numpy : 0.00170135498046875
nb_pixel_total : 8502
time to create 1 rle with old method : 0.011601686477661133
time for calcul the mask position with numpy : 0.0020699501037597656
nb_pixel_total : 1626
time to create 1 rle with old method : 0.0023190975189208984
time for calcul the mask position with numpy : 0.00150299072265625
nb_pixel_total : 339
time to create 1 rle with old method : 0.0004811286926269531
time for calcul the mask position with numpy : 0.00144195556640625
nb_pixel_total : 570
time to create 1 rle with old method : 0.0007653236389160156
time for calcul the mask position with numpy : 0.0014393329620361328
nb_pixel_total : 694
time to create 1 rle with old method : 0.0009200572967529297
time for calcul the mask position with numpy : 0.0014638900756835938
nb_pixel_total : 1707
time to create 1 rle with old method : 0.0020830631256103516
time for calcul the mask position with numpy : 0.0014495849609375
nb_pixel_total : 1056
time to create 1 rle with old method : 0.0020699501037597656
time for calcul the mask position with numpy : 0.001964569091796875
nb_pixel_total : 2770
time to create 1 rle with old method : 0.005140781402587891
time for calcul the mask position with numpy : 0.0015447139739990234
nb_pixel_total : 1055
time to create 1 rle with old method : 0.0013871192932128906
time for calcul the mask position with numpy : 0.0014519691467285156
nb_pixel_total : 1664
time to create 1 rle with old method : 0.002186298370361328
time for calcul the mask position with numpy : 0.00153350830078125
nb_pixel_total : 3091
time to create 1 rle with old method : 0.008601903915405273
time for calcul the mask position with numpy : 0.0021996498107910156
nb_pixel_total : 942
time to create 1 rle with old method : 0.0018374919891357422
time for calcul the mask position with numpy : 0.0018892288208007812
nb_pixel_total : 8625
time to create 1 rle with old method : 0.013118505477905273
time for calcul the mask position with numpy : 0.0019199848175048828
nb_pixel_total : 9705
time to create 1 rle with old method : 0.011664628982543945
time for calcul the mask position with numpy : 0.001567840576171875
nb_pixel_total : 1741
time to create 1 rle with old method : 0.0021924972534179688
time for calcul the mask position with numpy : 0.0015478134155273438
nb_pixel_total : 7366
time to create 1 rle with old method : 0.009783029556274414
time for calcul the mask position with numpy : 0.0015544891357421875
nb_pixel_total : 1538
time to create 1 rle with old method : 0.0021164417266845703
time for calcul the mask position with numpy : 0.0014426708221435547
nb_pixel_total : 585
time to create 1 rle with old method : 0.0007622241973876953
time for calcul the mask position with numpy : 0.0015168190002441406
nb_pixel_total : 9078
time to create 1 rle with old method : 0.010863065719604492
time for calcul the mask position with numpy : 0.0016796588897705078
nb_pixel_total : 16683
time to create 1 rle with old method : 0.020291566848754883
time for calcul the mask position with numpy : 0.0015070438385009766
nb_pixel_total : 1335
time to create 1 rle with old method : 0.0017392635345458984
time for calcul the mask position with numpy : 0.0014989376068115234
nb_pixel_total : 5012
time to create 1 rle with old method : 0.0060732364654541016
time for calcul the mask position with numpy : 0.0018236637115478516
nb_pixel_total : 38922
time to create 1 rle with old method : 0.04656815528869629
time for calcul the mask position with numpy : 0.0016808509826660156
nb_pixel_total : 713
time to create 1 rle with old method : 0.0010259151458740234
time for calcul the mask position with numpy : 0.0015392303466796875
nb_pixel_total : 3168
time to create 1 rle with old method : 0.004420280456542969
time for calcul the mask position with numpy : 0.0016245841979980469
nb_pixel_total : 885
time to create 1 rle with old method : 0.0013823509216308594
time for calcul the mask position with numpy : 0.0016968250274658203
nb_pixel_total : 615
time to create 1 rle with old method : 0.0009827613830566406
time for calcul the mask position with numpy : 0.0015411376953125
nb_pixel_total : 248
time to create 1 rle with old method : 0.0003998279571533203
time for calcul the mask position with numpy : 0.0017344951629638672
nb_pixel_total : 973
time to create 1 rle with old method : 0.0014195442199707031
time for calcul the mask position with numpy : 0.0018203258514404297
nb_pixel_total : 18496
time to create 1 rle with old method : 0.021811723709106445
time for calcul the mask position with numpy : 0.0015156269073486328
nb_pixel_total : 971
time to create 1 rle with old method : 0.0013470649719238281
time for calcul the mask position with numpy : 0.001435995101928711
nb_pixel_total : 301
time to create 1 rle with old method : 0.0005166530609130859
time for calcul the mask position with numpy : 0.0015635490417480469
nb_pixel_total : 221
time to create 1 rle with old method : 0.0003368854522705078
time for calcul the mask position with numpy : 0.001430511474609375
nb_pixel_total : 734
time to create 1 rle with old method : 0.0010554790496826172
time for calcul the mask position with numpy : 0.0015976428985595703
nb_pixel_total : 1502
time to create 1 rle with old method : 0.002836465835571289
time for calcul the mask position with numpy : 0.0017817020416259766
nb_pixel_total : 1435
time to create 1 rle with old method : 0.002025604248046875
time for calcul the mask position with numpy : 0.00160980224609375
nb_pixel_total : 1632
time to create 1 rle with old method : 0.0031163692474365234
time for calcul the mask position with numpy : 0.00189971923828125
nb_pixel_total : 596
time to create 1 rle with old method : 0.0012276172637939453
time for calcul the mask position with numpy : 0.0018925666809082031
nb_pixel_total : 955
time to create 1 rle with old method : 0.0019578933715820312
time for calcul the mask position with numpy : 0.0019080638885498047
nb_pixel_total : 1126
time to create 1 rle with old method : 0.0021598339080810547
time for calcul the mask position with numpy : 0.0019080638885498047
nb_pixel_total : 889
time to create 1 rle with old method : 0.001741647720336914
time for calcul the mask position with numpy : 0.0019457340240478516
nb_pixel_total : 2197
time to create 1 rle with old method : 0.003290414810180664
time for calcul the mask position with numpy : 0.0014765262603759766
nb_pixel_total : 1320
time to create 1 rle with old method : 0.001697540283203125
time for calcul the mask position with numpy : 0.001447439193725586
nb_pixel_total : 947
time to create 1 rle with old method : 0.0012083053588867188
time for calcul the mask position with numpy : 0.001430511474609375
nb_pixel_total : 331
time to create 1 rle with old method : 0.00047588348388671875
time for calcul the mask position with numpy : 0.0014371871948242188
nb_pixel_total : 1436
time to create 1 rle with old method : 0.0018744468688964844
time for calcul the mask position with numpy : 0.0014450550079345703
nb_pixel_total : 830
time to create 1 rle with old method : 0.0010662078857421875
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 102 chid ids of type : 4677
Number RLEs to save : 9360
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3687649865', '203', '535', '7')
...
 last line : ('3687649966', '815', '44', '5')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 0 keys : dict_keys([])
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : sam we use saveGeneral 
[1189321094]
 map_info['map_portfolio_photo'] : {}
 final :  True mtd_id 4573 list_pids : [1189321094]
Looping around the photos to save general results
len do output : 1
/1189321094Didn't retrieve data
.Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f303c233820>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f303c233880>
Managing all output in save final without adding information in the mtr_datou_result 
('4573', None, None, None, None, None, None, None, None)
('4573', None, '1189321094', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 3
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4573', None, '1189321094', 'None', None, None, None, None, None)]
time used for this insertion : 0.012482643127441406
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 10.52204704284668
time spend to save output : 0.012869834899902344
total time spend for step 1 : 10.534916877746582

caffe_path_current : 
About to save ! 2
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {'1189321094': [[<mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a076d90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a076dc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a076d60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a076d30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a076c40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a076c70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a076ca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e9a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e580>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e8e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e7c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e6a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e4c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e1f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e0d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a06e040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066f40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066f10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066e80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066e50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066e20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066df0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066d60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066d30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066cd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066c40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066c10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066be0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066bb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066b20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066af0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066ac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066a90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066a00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0669d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066820>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0667f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0666d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0665e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0665b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0664f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0664c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0663d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0663a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0662e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0662b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0661c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0660a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0defd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0def40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0def10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0dee80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0dee50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0dedc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0ded90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0ded00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0decd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0dec40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0dec10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0debe0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a0debb0>], 'temp/1740584176_3116993_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png']}
nb_objects detect : 102

############################### TEST frcnn  ################################
test frcnn
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4184

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4184
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4184
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4184
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : frcnn
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (917754606) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 917754606
download finish for photo 917754606
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.14623427391052246
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:frcnn
Wed Feb 26 16:36:27 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584187_3116993_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606}
map_photo_id_path_extension : {917754606: {'path': 'temp/1740584187_3116993_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step Faster rcnn !
classes : ['background', 'plaque']
pht : 4370
caffemodel_name (should be vgg16_immat_307 but not used because net loaded outside in the fonction) : {'id': 3375, 'mtr_user_id': 31, 'name': 'detection_plaque_valcor_010622', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,plaque', 'svm_portfolios_learning': '0,0', 'photo_hashtag_type': 4370, 'photo_desc_type': 5676, 'type_classification': 'caffe_faster_rcnn', 'hashtag_id_list': '0,0'}
To loadFromThcl()
model_param file didn't exist 
model_name : detection_plaque_valcor_010622
model_type : caffe_faster_rcnn
list file need :
['caffemodel', 'test.prototxt']
file exist in s3 :
['caffemodel', 'test.prototxt']
file manque in s3 : 
[]
local folder  : /data/models_weight/detection_plaque_valcor_010622


/data/models_weight/detection_plaque_valcor_010622/caffemodel
size_local : 349723073 size in s3 : 349723073
create time local : 2022-07-12 14:12:27 create time in s3 : 2022-06-01 15:05:56
caffemodel already exist and didn't need to update


/data/models_weight/detection_plaque_valcor_010622/test.prototxt
size_local : 7163 size in s3 : 7163
create time local : 2022-07-12 14:12:27 create time in s3 : 2022-06-01 15:05:55
test.prototxt already exist and didn't need to update
 prototxt : /data/models_weight/detection_plaque_valcor_010622/test.prototxt
 caffemodel : /data/models_weight/detection_plaque_valcor_010622/caffemodel


Loaded network /data/models_weight/detection_plaque_valcor_010622/caffemodel
About to compute detect_faster_rcnn : len(args) : 1
Inside frcnn step exec : nb paths : 1
image_path : temp/1740584187_3116993_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg
image_size (600, 800, 3)
[[[  4   6   6]
  [  5   7   7]
  [  6   8   8]
  ...
  [207 215 214]
  [206 214 213]
  [206 214 213]]

 [[  4   6   6]
  [  5   7   7]
  [  6   8   8]
  ...
  [207 215 214]
  [206 214 213]
  [206 214 213]]

 [[  4   6   6]
  [  5   7   7]
  [  6   8   8]
  ...
  [207 215 214]
  [206 214 213]
  [206 214 213]]

 ...

 [[ 14  16  16]
  [ 13  15  15]
  [ 11  13  13]
  ...
  [198 206 205]
  [198 206 205]
  [198 206 205]]

 [[ 16  18  18]
  [ 14  16  16]
  [ 11  13  13]
  ...
  [206 214 213]
  [206 214 213]
  [206 214 213]]

 [[ 13  15  15]
  [ 12  14  14]
  [  9  11  11]
  ...
  [210 218 217]
  [210 218 217]
  [210 218 217]]]
Detection took 0.086s for 300 object proposals
 c : plaque
 list_crops.shape (72, 5)
 proba :  0.06387042
(374.12643, 293.92163, 430.8126, 317.8109)
 proba :  0.05221617
(382.17926, 297.1871, 552.3595, 344.6575)
 proba :  0.012279074
(345.36456, 272.42813, 468.85266, 320.7217)
We are managing local photo_id
len de result frcnn : 1

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 2.9473605155944824
time spend to save output : 7.534027099609375e-05
total time spend for step 1 : 2.9474358558654785

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
Inside saveFrcnn : final : True verbose : True
threshold to save the result : 0.1
output flattener :  [(0, 493029425, 4370, 374, 430, 293, 317, 0.06387042, None), (0, 493029425, 4370, 382, 552, 297, 344, 0.05221617, None), (0, 493029425, 4370, 345, 468, 272, 320, 0.012279074, None)]
Warning : no hashtag_ids to insert in the database
final : True


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4184', None, '917754606', '0', 0, '0', 493061979, '0', None)]
time used for this insertion : 0.013457298278808594
[917754606]
 map_info['map_portfolio_photo'] : {}
 final :  True mtd_id 4184 list_pids : [917754606]
Looping around the photos to save general results
len do output : 1
/0
before output type
Managing all output in save final without adding information in the mtr_datou_result 
('4184', None, None, None, None, None, None, None, None)
('4184', None, '917754606', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4184', None, '917754606', None, None, None, None, None, None)]
time used for this insertion : 0.011115550994873047
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {0: [[(0, 493029425, 4370, 374, 430, 293, 317, 0.06387042, None), (0, 493029425, 4370, 382, 552, 297, 344, 0.05221617, None), (0, 493029425, 4370, 345, 468, 272, 320, 0.012279074, None)], 'temp/1740584187_3116993_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg']}

############################### TEST thcl  ################################
TEST THCL
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 1 thcl is not linked in the step_by_step architecture !
WARNING : step 2 argmax is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : thcl, argmax
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (916235064) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 916235064
download finish for photo 916235064
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.11933684349060059
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  2
step1:thcl
Wed Feb 26 16:36:30 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584190_3116993_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg': 916235064}
map_photo_id_path_extension : {916235064: {'path': 'temp/1740584190_3116993_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step Thcl !
multi_thcl or not :False
multi_thcl_cond or not :False
dic_thcl :  {'355': 1}
we are using the classfication for only one thcl
355


In convert_file_to_np l 337 : 1
 l343 1
l357 after caffe.io.load_image
dimension du image : (3, (66, 66, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.009534358978271484
time to convert the images to numpy array :  0.0011489391326904297
total time to convert the images to numpy array :  0.010951519012451172
list photo_ids error:
[]
list photo_ids correct :
[916235064]
number of photos to traite : 1
try to delete the photos incorrect in DB

tagging for thcl : 355
To do loadFromThcl(), then load ParamDescType : thcl355
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (355) 
 thcls : [{'id': 355, 'mtr_user_id': 31, 'name': 'car_360_1027', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'c_elysee_1027_gao__port_506302,mokka_1027_gao__port_506374,captur_1027_gao__port_506399,sorento_1027_gao__port_506192,navara_1027_gao__port_506205,xc90_1027_gao__port_506350,saxo_1027_gao__port_506052,trafic_1027_gao__port_506295,punto_evo_1027_gao__port_506066,5_1027_gao__port_506117,250_1027_gao__port_506065,d_max_1027_gao__port_506125,panamera_1027_gao__port_506387,alhambra_1027_gao__port_506381,x6_1027_gao__port_506349,vitara_1027_gao__port_506328,fiesta_1027_gao__port_506377,qashqai_1027_gao__port_506286,147_1027_gao__port_506124,c5_1027_gao__port_506172,q5_1027_gao__port_506206,giulia_1027_gao__port_506178,karl_1027_gao__port_506371,mehari_1027_gao__port_506076,911_1027_gao__port_506114,508_1027_gao__port_506329,idea_1027_gao__port_506122,megane_1027_gao__port_506220,ghibli_1027_gao__port_506174,touareg_1027_gao__port_506224,i10_1027_gao__port_506232,jumper_1027_gao__port_506234,classe_clk_1027_gao__port_506173,kuga_1027_gao__port_506181,ct_1027_gao__port_506323,leon_1027_gao__port_506326,ds5_1027_gao__port_506376,cordoba_1027_gao__port_506048,classe_cla_1027_gao__port_506400,jumpy_1027_gao__port_506179,avensis_1027_gao__port_506311,juke_1027_gao__port_506325,4008_1027_gao__port_506402,190_series_1027_gao__port_506051,serie_3_1027_gao__port_506294,q7_1027_gao__port_506318,glc_1027_gao__port_506303,grand_vitara_1027_gao__port_506175,s40_1027_gao__port_506099,toledo_1027_gao__port_506061,5008_1027_gao__port_506337,continental_1027_gao__port_506250,coupe_1027_gao__port_506082,iq_1027_gao__port_506166,407_1027_gao__port_506133,touran_1027_gao__port_506308,300c_1027_gao__port_506078,classe_gl_1027_gao__port_506340,vivaro_1027_gao__port_506310,sl_1027_gao__port_506100,elise_1027_gao__port_506121,1007_1027_gao__port_506070,i40_1027_gao__port_506218,bipper_tepee_1027_gao__port_506227,focus_1027_gao__port_506272,primera_1027_gao__port_506147,r4_1027_gao__port_506160,a8_1027_gao__port_506265,boxer_1027_gao__port_506202,s5_1027_gao__port_506222,r21_1027_gao__port_506093,c3_1027_gao__port_506257,santa_fe_1027_gao__port_506208,m4_1027_gao__port_506344,safrane_1027_gao__port_506077,classe_gle_1027_gao__port_506395,0_1027_gao__port_506094,ix35_1027_gao__port_506219,carens_1027_gao__port_506298,classe_a_1027_gao__port_506339,ix20_1027_gao__port_506343,note_1027_gao__port_506365,a5_1027_gao__port_506200,sx4_1027_gao__port_506348,sandero_1027_gao__port_506198,3008_1027_gao__port_506385,q50_1027_gao__port_506239,latitude_1027_gao__port_506236,v40_1027_gao__port_506391,xsara_1027_gao__port_506087,grand_c_max_1027_gao__port_506342,swift_1027_gao__port_506149,serie_1_1027_gao__port_506184,xc70_1027_gao__port_506393,master_1027_gao__port_506203,clio_1027_gao__port_506280,duster_1027_gao__port_506216,traveller_1027_gao__port_506403,tipo_1027_gao__port_506355,rav_4_1027_gao__port_506332,coccinelle_1027_gao__port_506259,spacetourer_1027_gao__port_506401,xe_1027_gao__port_506357,ds3_1027_gao__port_506324,mx_5_1027_gao__port_506098,land_cruiser_1027_gao__port_506315,classe_b_1027_gao__port_506335,806_1027_gao__port_506088,rx_8_1027_gao__port_506046,spark_1027_gao__port_506185,6_1027_gao__port_506171,bravo_1027_gao__port_506080,nx_1027_gao__port_506345,sharan_1027_gao__port_506347,x_type_1027_gao__port_506067,jimny_1027_gao__port_506233,wrangler_1027_gao__port_506225,c_crosser_1027_gao__port_506312,v70_1027_gao__port_506278,classe_e_1027_gao__port_506300,classe_v_1027_gao__port_506258,m3_1027_gao__port_506182,abarth_500_1027_gao__port_506226,serie_6_1027_gao__port_506262,modus_1027_gao__port_506146,3_1027_gao__port_506113,405_1027_gao__port_506108,allroad_1027_gao__port_506297,auris_1027_gao__port_506322,galaxy_1027_gao__port_506143,giulietta_1027_gao__port_506363,106_1027_gao__port_506073,classe_m_1027_gao__port_506154,espace_1027_gao__port_506313,panda_1027_gao__port_506189,rcz_1027_gao__port_506197,4007_1027_gao__port_506162,classe_cl_1027_gao__port_506249,leaf_1027_gao__port_506139,octavia_1027_gao__port_506237,ds4_1027_gao__port_506336,freelander_1027_gao__port_506084,evasion_1027_gao__port_506109,punto_1027_gao__port_506106,2cv_1027_gao__port_506045,x4_1027_gao__port_506392,antara_1027_gao__port_506247,murano_1027_gao__port_506316,alto_1027_gao__port_506201,meriva_1027_gao__port_506353,orlando_1027_gao__port_506305,new_beetle_1027_gao__port_506050,306_1027_gao__port_506145,tiguan_1027_gao__port_506362,s_type_1027_gao__port_506101,c1_1027_gao__port_506128,vectra_1027_gao__port_506044,outlander_1027_gao__port_506317,307_1027_gao__port_506074,a6_s6_1027_gao__port_506134,nemo_combi_1027_gao__port_506196,berlingo_1027_gao__port_506194,partner_1027_gao__port_506285,cayenne_1027_gao__port_506177,quattroporte_1027_gao__port_506240,c_max_1027_gao__port_506282,fabia_1027_gao__port_506396,cx_3_1027_gao__port_506281,x_trail_1027_gao__port_506264,scirocco_1027_gao__port_506276,matiz_1027_gao__port_506144,tigra_1027_gao__port_506069,escort_1027_gao__port_506091,c2_1027_gao__port_506081,mini_1027_gao__port_506168,i30_1027_gao__port_506291,picanto_1027_gao__port_506238,mito_1027_gao__port_506072,impreza_1027_gao__port_506085,kangoo_1027_gao__port_506235,a4_1027_gao__port_506193,cayman_1027_gao__port_506268,sportage_1027_gao__port_506148,up_1027_gao__port_506356,optima_1027_gao__port_506386,defender_1027_gao__port_506229,serie_2_1027_gao__port_506256,edge_1027_gao__port_506187,r19_1027_gao__port_506110,jetta_1027_gao__port_506304,eos_1027_gao__port_506115,accord_1027_gao__port_506214,yaris_1027_gao__port_506334,classe_cls_1027_gao__port_506289,polo_1027_gao__port_506361,serie_4_1027_gao__port_506366,mini_cabriolet_1027_gao__port_506204,prius_1027_gao__port_506190,lodgy_1027_gao__port_506188,serie_7_1027_gao__port_506307,c15_1027_gao__port_506055,kadjar_1027_gao__port_506389,insignia_1027_gao__port_506364,308_1027_gao__port_506279,roomster_1027_gao__port_506241,80_1027_gao__port_506057,309_1027_gao__port_506063,tucson_1027_gao__port_506320,x3_1027_gao__port_506212,xf_1027_gao__port_506263,2008_1027_gao__port_506394,passat_1027_gao__port_506306,compass_1027_gao__port_506260,twingo_1027_gao__port_506309,micra_1027_gao__port_506221,golf_1027_gao__port_506155,soul_1027_gao__port_506176,rapid_1027_gao__port_506398,forester_1027_gao__port_506360,slk_1027_gao__port_506210,forfour_1027_gao__port_506341,serie_5_1027_gao__port_506209,xj_1027_gao__port_506170,pajero_1027_gao__port_506097,agila_1027_gao__port_506119,a6_1027_gao__port_506163,fox_1027_gao__port_506092,boxster_1027_gao__port_506267,altea_1027_gao__port_506246,samurai_1027_gao__port_506047,trax_1027_gao__port_506296,getz_1027_gao__port_506058,cherokee_1027_gao__port_506269,koleos_1027_gao__port_506378,z_series_1027_gao__port_506123,ecosport_1027_gao__port_506271,space_star_1027_gao__port_506277,rs3_sportback_1027_gao__port_506207,civic_1027_gao__port_506141,talisman_1027_gao__port_506390,f_pace_1027_gao__port_506314,classe_c_1027_gao__port_506299,tt_1027_gao__port_506075,pathfinder_1027_gao__port_506183,156_1027_gao__port_506157,cx_5_1027_gao__port_506228,scenic_1027_gao__port_506255,yeti_1027_gao__port_506358,mustang_1027_gao__port_506053,stilo_1027_gao__port_506060,ateca_1027_gao__port_506382,fiorino_1027_gao__port_506217,classe_glk_1027_gao__port_506290,fortwo_1027_gao__port_506230,cruze_1027_gao__port_506186,107_1027_gao__port_506213,aygo_1027_gao__port_506248,rx_1027_gao__port_506354,500_1027_gao__port_506245,bora_1027_gao__port_506104,transit_1027_gao__port_506111,pt_cruiser_1027_gao__port_506054,patrol_1027_gao__port_506068,r8_1027_gao__port_506156,xm_1027_gao__port_506102,s60_1027_gao__port_506191,aveo_1027_gao__port_506158,captiva_1027_gao__port_506159,ax_1027_gao__port_506153,rexton_1027_gao__port_506107,camaro_1027_gao__port_506056,ypsilon_1027_gao__port_506131,delta_1027_gao__port_506165,c4_1027_gao__port_506370,zx_1027_gao__port_506161,verso_1027_gao__port_506242,superb_1027_gao__port_506327,r5_1027_gao__port_506253,caddy_1027_gao__port_506330,x5_1027_gao__port_506243,f_type_1027_gao__port_506231,fusion_1027_gao__port_506096,dokker_1027_gao__port_506331,205_1027_gao__port_506062,macan_1027_gao__port_506195,tourneo_1027_gao__port_506369,108_1027_gao__port_506384,9_3_1027_gao__port_506071,mondeo_1027_gao__port_506116,cr_v_1027_gao__port_506164,c30_1027_gao__port_506090,pulsar_1027_gao__port_506397,ibiza_1027_gao__port_506273,a1_1027_gao__port_506338,matrix_1027_gao__port_506140,carnival_1027_gao__port_506136,xantia_1027_gao__port_506086,terrano_1027_gao__port_506083,q3_1027_gao__port_506275,hr_v_1027_gao__port_506283,expert_1027_gao__port_506142,multivan_1027_gao__port_506383,venga_1027_gao__port_506380,scudo_1027_gao__port_506129,laguna_1027_gao__port_506368,vel_satis_1027_gao__port_506130,b_max_1027_gao__port_506367,ignis_1027_gao__port_506292,159_1027_gao__port_506064,grande_punto_1027_gao__port_506138,logan_1027_gao__port_506167,s_max_1027_gao__port_506223,caravelle_1027_gao__port_506351,adam_1027_gao__port_506079,406_1027_gao__port_506132,q30_1027_gao__port_506293,almera_1027_gao__port_506089,corsa_1027_gao__port_506095,corolla_1027_gao__port_506120,xc60_1027_gao__port_506388,viano_1027_gao__port_506211,pro_cee_d_1027_gao__port_506274,a3_1027_gao__port_506321,v50_1027_gao__port_506150,voyager_1027_gao__port_506169,corvette_1027_gao__port_506049,rio_1027_gao__port_506379,jazz_1027_gao__port_506252,200_1027_gao__port_506112,tts_1027_gao__port_506199,zafira_1027_gao__port_506287,asx_1027_gao__port_506266,607_1027_gao__port_506118,207_1027_gao__port_506103,classe_s_1027_gao__port_506301,c6_1027_gao__port_506105,express_1027_gao__port_506137,classe_gla_1027_gao__port_506352,v60_1027_gao__port_506333,ka_1027_gao__port_506180,range_rover_1027_gao__port_506254,discovery_1027_gao__port_506375,classe_r_1027_gao__port_506270,transporter_1027_gao__port_506319,cee_d_1027_gao__port_506288,zoe_1027_gao__port_506244,i20_1027_gao__port_506284,gtv_1027_gao__port_506059,s4_avant_1027_gao__port_506261,x1_1027_gao__port_506372,autres_1027_gao__port_506127,208_1027_gao__port_506359,c8_1027_gao__po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'svm_portfolios_learning': 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'svm_portfolios_learning': '506302,506374,506399,506192,506205,506350,506052,506295,506066,506117,506065,506125,506387,506381,506349,506328,506377,506286,506124,506172,506206,506178,506371,506076,506114,506329,506122,506220,506174,506224,506232,506234,506173,506181,506323,506326,506376,506048,506400,506179,506311,506325,506402,506051,506294,506318,506303,506175,506099,506061,506337,506250,506082,506166,506133,506308,506078,506340,506310,506100,506121,506070,506218,506227,506272,506147,506160,506265,506202,506222,506093,506257,506208,506344,506077,506395,506094,506219,506298,506339,506343,506365,506200,506348,506198,506385,506239,506236,506391,506087,506342,506149,506184,506393,506203,506280,506216,506403,506355,506332,506259,506401,506357,506324,506098,506315,506335,506088,506046,506185,506171,506080,506345,506347,506067,506233,506225,506312,506278,506300,506258,506182,506226,506262,506146,506113,506108,506297,506322,506143,506363,506073,506154,506313,506189,506197,506162,506249,506139,506237,506336,506084,506109,506106,506045,506392,506247,506316,506201,506353,506305,506050,506145,506362,506101,506128,506044,506317,506074,506134,506196,506194,506285,506177,506240,506282,506396,506281,506264,506276,506144,506069,506091,506081,506168,506291,506238,506072,506085,506235,506193,506268,506148,506356,506386,506229,506256,506187,506110,506304,506115,506214,506334,506289,506361,506366,506204,506190,506188,506307,506055,506389,506364,506279,506241,506057,506063,506320,506212,506263,506394,506306,506260,506309,506221,506155,506176,506398,506360,506210,506341,506209,506170,506097,506119,506163,506092,506267,506246,506047,506296,506058,506269,506378,506123,506271,506277,506207,506141,506390,506314,506299,506075,506183,506157,506228,506255,506358,506053,506060,506382,506217,506290,506230,506186,506213,506248,506354,506245,506104,506111,506054,506068,506156,506102,506191,506158,506159,506153,506107,506056,506131,506165,506370,506161,506242,506327,506253,506330,506243,506231,506096,506331,506062,506195,506369,506384,506071,506116,506164,506090,506397,506273,506338,506140,506136,506086,506083,506275,506283,506142,506383,506380,506129,506368,506130,506367,506292,506064,506138,506167,506223,506351,506079,506132,506293,506089,506095,506120,506388,506211,506274,506321,506150,506169,506049,506379,506252,506112,506199,506287,506266,506118,506103,506301,506105,506137,506352,506333,506180,506254,506375,506270,506319,506288,506244,506284,506059,506261,506372,506127,506359,506135,506215,506151,506251,506152,506126,506373,506346', 'photo_hashtag_type': 332, 'photo_desc_type': 3390, 'type_classification': 'caffe', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}
 Update svm_hashtag_type_desc : 3390
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (3390)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3390, 'car_360_1027', 16384, 25088, 'car_360_1027', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2017, 10, 28, 12, 29, 27), datetime.datetime(2017, 10, 28, 12, 29, 27))
To loadFromThcl() : net_3390
begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 2500
l 3632 free memory gpu now : 986
wait 20 seconds
l 3637 free memory gpu now : 986  max_wait_temp :  1 max_wait :  0
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (3390)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3390, 'car_360_1027', 16384, 25088, 'car_360_1027', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2017, 10, 28, 12, 29, 27), datetime.datetime(2017, 10, 28, 12, 29, 27))
 param : <mtr.database_queries.descriptor_queries.ParamDescriptorType object at 0x7f2dd0bb3e80>, param.caffemodel : car_360_1027
None
 mean_file_type : 
 mean_file_path : 
 prototxt_file_path : 
 model : car_360_1027
 Inside get_net  
 Inside get_net before cache_data_model 
model_param file didn't exist 
 Inside get_net before  CDM.load_model_par_type  
model_name : car_360_1027
model_type : caffe
list file need :
['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file exist in s3 :
['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file manque in s3 : 
[]
local folder  : /data/models_weight/car_360_1027


/data/models_weight/car_360_1027/caffemodel
size_local : 542944640 size in s3 : 542944640
create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:43
caffemodel already exist and didn't need to update


/data/models_weight/car_360_1027/deploy_conv_normal.prototxt
size_local : 4626 size in s3 : 4626
create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:42
deploy_conv_normal.prototxt already exist and didn't need to update


/data/models_weight/car_360_1027/deploy_fc.prototxt
size_local : 1132 size in s3 : 1132
create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:43
deploy_fc.prototxt already exist and didn't need to update


/data/models_weight/car_360_1027/deploy.prototxt
size_local : 5654 size in s3 : 5654
create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:42
deploy.prototxt already exist and didn't need to update


/data/models_weight/car_360_1027/mean.npy
size_local : 1572944 size in s3 : 1572944
create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:55
mean.npy already exist and didn't need to update


/data/models_weight/car_360_1027/synset_words.txt
size_local : 13687 size in s3 : 13687
create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:43
synset_words.txt already exist and didn't need to update
 Inside get_net after CDM.load_model_par_type  
  After if not only_with_local_cache:
/home/admin/workarea/install/caffe_cuda8_python3/python/:/home/admin/workarea/install/darknet/:/home/admin/workarea/git/Velours/python:/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python:/home/admin/mtr/.credentials:/home/admin/workarea/install/caffe/python:/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools/:/home/admin/workarea/git/fotonowerpip/:/home/admin/workarea/install/segment-anything:/home/admin//workarea/git/pyfvs/
Here before set mode gpu
Doing nothing but we could set mode gpu
after set mode gpu
 prototxt_filename : /data/models_weight/car_360_1027/deploy.prototxt
 caffemodel_filename : /data/models_weight/car_360_1027/caffemodel
now we set caffe to gpu mode


 before predict
begin to check gpu status 
inside check gpu memory
havn't enough memory gpu , need / 2500
l 3632 free memory gpu now : 441
wait 20 seconds
l 3637 free memory gpu now : 441  max_wait_temp :  1 max_wait :  0
dict_keys(['pool5', 'prob'])
time used to do the prepocess of the images : 0.014645099639892578
time used to do the prediction : 0.1858229637145996


save descriptor for thcl : 355
(1, 512, 7, 7)
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
code_as_byte_string:b'0000000000'|
time to traite the descriptors :  0.048694610595703125
Testing : ['916235064']
 In select_photos_meta_from_ids: 
        SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text
        FROM MTRBack.photos
        WHERE photo_id IN (916235064) 
Catched exception !
Connect or reconnect !
result : {916235064: {'photo_id': 916235064, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2017/10/14/6293d1bb790dc6902450e7c572b7d10b.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': None}}
list_photo_exists : [916235064]
storage_type for insertDescriptorsMulti : 1
To insert : 916235064
time to insert the descriptors : 0.888524055480957






After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 0 keys : dict_keys([])
Inside saveOutput : final : False verbose : True
time used to find the portfolios of the photos
select button_legend_list from MTRDatou.classification_theme where id = 355

 SAVE THCL, output : {'916235064': [[('916235064', 'c_elysee_1027_gao__port_506302', 0.0018817505, 332, '355'), ('916235064', 'mokka_1027_gao__port_506374', 0.0011635589, 332, '355'), ('916235064', 'captur_1027_gao__port_506399', 0.0008158457, 332, '355'), ('916235064', 'sorento_1027_gao__port_506192', 0.00117741, 332, '355'), ('916235064', 'navara_1027_gao__port_506205', 0.0025850146, 332, '355'), ('916235064', 'xc90_1027_gao__port_506350', 0.0041703824, 332, '355'), ('916235064', 'saxo_1027_gao__port_506052', 0.0034804887, 332, '355'), ('916235064', 'trafic_1027_gao__port_506295', 0.007367819, 332, '355'), ('916235064', 'punto_evo_1027_gao__port_506066', 0.0021886367, 332, '355'), ('916235064', '5_1027_gao__port_506117', 0.0005799043, 332, '355'), ('916235064', '250_1027_gao__port_506065', 0.00459118, 332, '355'), ('916235064', 'd_max_1027_gao__port_506125', 0.0031586569, 332, '355'), ('916235064', 'panamera_1027_gao__port_506387', 0.0022511513, 332, '355'), ('916235064', 'alhambra_1027_gao__port_506381', 0.005321464, 332, '355'), ('916235064', 'x6_1027_gao__port_506349', 0.0010999396, 332, '355'), ('916235064', 'vitara_1027_gao__port_506328', 0.005401573, 332, '355'), ('916235064', 'fiesta_1027_gao__port_506377', 0.0039190883, 332, '355'), ('916235064', 'qashqai_1027_gao__port_506286', 0.0014788433, 332, '355'), ('916235064', '147_1027_gao__port_506124', 0.0019779198, 332, '355'), ('916235064', 'c5_1027_gao__port_506172', 0.0012442532, 332, '355'), ('916235064', 'q5_1027_gao__port_506206', 0.0015050838, 332, '355'), ('916235064', 'giulia_1027_gao__port_506178', 0.0021694347, 332, '355'), ('916235064', 'karl_1027_gao__port_506371', 0.0027086404, 332, '355'), ('916235064', 'mehari_1027_gao__port_506076', 0.0047019245, 332, '355'), ('916235064', '911_1027_gao__port_506114', 0.0019415522, 332, '355'), ('916235064', '508_1027_gao__port_506329', 0.00095869775, 332, '355'), ('916235064', 'idea_1027_gao__port_506122', 0.00077010563, 332, '355'), ('916235064', 'megane_1027_gao__port_506220', 0.0019471605, 332, '355'), ('916235064', 'ghibli_1027_gao__port_506174', 0.0013727937, 332, '355'), ('916235064', 'touareg_1027_gao__port_506224', 0.0016201693, 332, '355'), ('916235064', 'i10_1027_gao__port_506232', 0.0013925986, 332, '355'), ('916235064', 'jumper_1027_gao__port_506234', 0.010045886, 332, '355'), ('916235064', 'classe_clk_1027_gao__port_506173', 0.0010793414, 332, '355'), ('916235064', 'kuga_1027_gao__port_506181', 0.00084488286, 332, '355'), ('916235064', 'ct_1027_gao__port_506323', 0.001252184, 332, '355'), ('916235064', 'leon_1027_gao__port_506326', 0.0025848374, 332, '355'), ('916235064', 'ds5_1027_gao__port_506376', 0.0012431033, 332, '355'), ('916235064', 'cordoba_1027_gao__port_506048', 0.0028649506, 332, '355'), ('916235064', 'classe_cla_1027_gao__port_506400', 0.0012951525, 332, '355'), ('916235064', 'jumpy_1027_gao__port_506179', 0.010340682, 332, '355'), ('916235064', 'avensis_1027_gao__port_506311', 0.0018766585, 332, '355'), ('916235064', 'juke_1027_gao__port_506325', 0.0011344292, 332, '355'), ('916235064', '4008_1027_gao__port_506402', 0.0015760477, 332, '355'), ('916235064', '190_series_1027_gao__port_506051', 0.0039796648, 332, '355'), ('916235064', 'serie_3_1027_gao__port_506294', 0.0028743092, 332, '355'), ('916235064', 'q7_1027_gao__port_506318', 0.0023360094, 332, '355'), ('916235064', 'glc_1027_gao__port_506303', 0.0012108878, 332, '355'), ('916235064', 'grand_vitara_1027_gao__port_506175', 0.0011448169, 332, '355'), ('916235064', 's40_1027_gao__port_506099', 0.0022339032, 332, '355'), ('916235064', 'toledo_1027_gao__port_506061', 0.001746698, 332, '355'), ('916235064', '5008_1027_gao__port_506337', 0.0047008586, 332, '355'), ('916235064', 'continental_1027_gao__port_506250', 0.002191432, 332, '355'), ('916235064', 'coupe_1027_gao__port_506082', 0.0022625013, 332, '355'), ('916235064', 'iq_1027_gao__port_506166', 0.0018175564, 332, '355'), ('916235064', '407_1027_gao__port_506133', 0.00090578897, 332, '355'), ('916235064', 'touran_1027_gao__port_506308', 0.0020407264, 332, '355'), ('916235064', '300c_1027_gao__port_506078', 0.0025337753, 332, '355'), ('916235064', 'classe_gl_1027_gao__port_506340', 0.004489765, 332, '355'), ('916235064', 'vivaro_1027_gao__port_506310', 0.0034255916, 332, '355'), ('916235064', 'sl_1027_gao__port_506100', 0.0031348718, 332, '355'), ('916235064', 'elise_1027_gao__port_506121', 0.0010253818, 332, '355'), ('916235064', '1007_1027_gao__port_506070', 0.0015356059, 332, '355'), ('916235064', 'i40_1027_gao__port_506218', 0.00059158803, 332, '355'), ('916235064', 'bipper_tepee_1027_gao__port_506227', 0.004030625, 332, '355'), ('916235064', 'focus_1027_gao__port_506272', 0.0011586618, 332, '355'), ('916235064', 'primera_1027_gao__port_506147', 0.0012157797, 332, '355'), ('916235064', 'r4_1027_gao__port_506160', 0.014962265, 332, '355'), ('916235064', 'a8_1027_gao__port_506265', 0.0011320506, 332, '355'), ('916235064', 'boxer_1027_gao__port_506202', 0.010546103, 332, '355'), ('916235064', 's5_1027_gao__port_506222', 0.0011983691, 332, '355'), ('916235064', 'r21_1027_gao__port_506093', 0.0041843834, 332, '355'), ('916235064', 'c3_1027_gao__port_506257', 0.0023636168, 332, '355'), ('916235064', 'santa_fe_1027_gao__port_506208', 0.0016324724, 332, '355'), ('916235064', 'm4_1027_gao__port_506344', 0.0015567953, 332, '355'), ('916235064', 'safrane_1027_gao__port_506077', 0.0013958126, 332, '355'), ('916235064', 'classe_gle_1027_gao__port_506395', 0.002198055, 332, '355'), ('916235064', '0_1027_gao__port_506094', 0.008826773, 332, '355'), ('916235064', 'ix35_1027_gao__port_506219', 0.0014617917, 332, '355'), ('916235064', 'carens_1027_gao__port_506298', 0.0008827053, 332, '355'), ('916235064', 'classe_a_1027_gao__port_506339', 0.0024717494, 332, '355'), ('916235064', 'ix20_1027_gao__port_506343', 0.0010094516, 332, '355'), ('916235064', 'note_1027_gao__port_506365', 0.0015965188, 332, '355'), ('916235064', 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0.0009716791, 332, '355'), ('916235064', 'almera_1027_gao__port_506089', 0.0010240747, 332, '355'), ('916235064', 'corsa_1027_gao__port_506095', 0.0025204981, 332, '355'), ('916235064', 'corolla_1027_gao__port_506120', 0.0026824104, 332, '355'), ('916235064', 'xc60_1027_gao__port_506388', 0.001898866, 332, '355'), ('916235064', 'viano_1027_gao__port_506211', 0.0026947735, 332, '355'), ('916235064', 'pro_cee_d_1027_gao__port_506274', 0.00083199335, 332, '355'), ('916235064', 'a3_1027_gao__port_506321', 0.0037380934, 332, '355'), ('916235064', 'v50_1027_gao__port_506150', 0.0007920184, 332, '355'), ('916235064', 'voyager_1027_gao__port_506169', 0.0030532165, 332, '355'), ('916235064', 'corvette_1027_gao__port_506049', 0.0037223035, 332, '355'), ('916235064', 'rio_1027_gao__port_506379', 0.0017742811, 332, '355'), ('916235064', 'jazz_1027_gao__port_506252', 0.0015308404, 332, '355'), ('916235064', '200_1027_gao__port_506112', 0.004086658, 332, '355'), ('916235064', 'tts_1027_gao__port_506199', 0.0011862525, 332, '355'), ('916235064', 'zafira_1027_gao__port_506287', 0.0026957968, 332, '355'), ('916235064', 'asx_1027_gao__port_506266', 0.001140835, 332, '355'), ('916235064', '607_1027_gao__port_506118', 0.0012531251, 332, '355'), ('916235064', '207_1027_gao__port_506103', 0.0015151523, 332, '355'), ('916235064', 'classe_s_1027_gao__port_506301', 0.003165516, 332, '355'), ('916235064', 'c6_1027_gao__port_506105', 0.0017347173, 332, '355'), ('916235064', 'express_1027_gao__port_506137', 0.01672022, 332, '355'), ('916235064', 'classe_gla_1027_gao__port_506352', 0.0018257541, 332, '355'), ('916235064', 'v60_1027_gao__port_506333', 0.0021461996, 332, '355'), ('916235064', 'ka_1027_gao__port_506180', 0.0014151618, 332, '355'), ('916235064', 'range_rover_1027_gao__port_506254', 0.0020551863, 332, '355'), ('916235064', 'discovery_1027_gao__port_506375', 0.0022967982, 332, '355'), ('916235064', 'classe_r_1027_gao__port_506270', 0.0013946624, 332, '355'), ('916235064', 'transporter_1027_gao__port_506319', 0.011969637, 332, '355'), ('916235064', 'cee_d_1027_gao__port_506288', 0.0010549985, 332, '355'), ('916235064', 'zoe_1027_gao__port_506244', 0.002071623, 332, '355'), ('916235064', 'i20_1027_gao__port_506284', 0.0017869935, 332, '355'), ('916235064', 'gtv_1027_gao__port_506059', 0.005721423, 332, '355'), ('916235064', 's4_avant_1027_gao__port_506261', 0.0027662837, 332, '355'), ('916235064', 'x1_1027_gao__port_506372', 0.0017145555, 332, '355'), ('916235064', 'autres_1027_gao__port_506127', 0.0048249736, 332, '355'), ('916235064', '208_1027_gao__port_506359', 0.0018692232, 332, '355'), ('916235064', 'c8_1027_gao__port_506135', 0.0012582098, 332, '355'), ('916235064', 'astra_1027_gao__port_506215', 0.001262708, 332, '355'), ('916235064', '2_1027_gao__port_506151', 0.0009245488, 332, '355'), ('916235064', 'doblo_1027_gao__port_506251', 0.007466766, 332, '355'), ('916235064', '807_1027_gao__port_506152', 0.0007291228, 332, '355'), ('916235064', '206_1027_gao__port_506126', 0.0010385608, 332, '355'), ('916235064', 'a7_1027_gao__port_506373', 0.0006912328, 332, '355'), ('916235064', 'renegade_1027_gao__port_506346', 0.0021420398, 332, '355')]]}


begin to insert list_values into class_photo_scores : 
length of list_valuse in save_photo_hashtag_id_thcl_score : 0
insert into MTRPhoto.class_photo_score (thcl, photo_id, hashtag_id, score) values (%s,%s,%s,%s) on duplicate key update score = values(score)
time used for this insertion : 1.8596649169921875e-05

save missing photos in datou_result :

time spend for datou_step_exec : 47.3448007106781
time spend to save output : 1.4600601196289062
total time spend for step 1 : 48.80486083030701

step2:argmax
Wed Feb 26 16:37:19 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584190_3116993_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg': 916235064}
map_photo_id_path_extension : {916235064: {'path': 'temp/1740584190_3116993_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step Argmax !
calculate argmax for thcl : 355

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 0 keys : dict_keys([])
Inside saveOutput : final : True verbose : True
 photo_id : 916235064 output[photo_id] :  [('916235064', 'c15_1027_gao__port_506055', 0.017709695, 332, '355'), 'temp/1740584190_3116993_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg']


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 1
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s)
 first line : ('916235064', '2049863950', '332')
...
 last line : ('916235064', '2049863950', '332')
time used for this insertion : 0.008828163146972656


begin to insert list_values into class_photo_scores : 
length of list_valuse in save_photo_hashtag_id_thcl_score : 1
insert into MTRPhoto.class_photo_score (thcl, photo_id, hashtag_id, score) values (%s,%s,%s,%s) on duplicate key update score = values(score)
time used for this insertion : 0.011700868606567383
len list_finale : 1, len picture : 1


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('2', None, '916235064', 'c15_1027_gao__port_506055', None, None, '2049863950', '0.017709695', None)]
time used for this insertion : 0.011686325073242188
saving photo_ids in datou_result
photo id not in port


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 0
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : []
time used for this insertion : 5.4836273193359375e-06

save missing photos in datou_result :

time spend for datou_step_exec : 0.00060272216796875
time spend to save output : 0.032837867736816406
total time spend for step 2 : 0.033440589904785156

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 2
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 2
 output : {'916235064': [('916235064', 'c15_1027_gao__port_506055', 0.017709695, 332, '355'), 'temp/1740584190_3116993_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg']}

############################### TEST tfhub2  ################################
TEST TFHUB2
######################## test with use_multi_inputs=0 ########################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4567

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4567
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4567
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4567
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 12835 tfhub_classification2 is not linked in the step_by_step architecture !
WARNING : step 12836 argmax is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : tfhub_classification2, argmax
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1171252784,1171252764,1171252487) 
 Found this number of photos: 3
##### Call download_photos : nb_thread : 5
begin to download photo : 1171252487
begin to download photo : 1171252764
begin to download photo : 1171252784
download finish for photo 1171252784
download finish for photo 1171252487
download finish for photo 1171252764
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 3 ; length of list_pids : 3 ; length of list_args : 3
##### After load_data_input 
time to download the photos : 0.21127986907958984
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  2
step1:tfhub_classification2
Wed Feb 26 16:37:19 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584239_3116993_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg': 1171252784, 'temp/1740584239_3116993_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg': 1171252487, 'temp/1740584239_3116993_1171252764_29d5179a892cc50aadc9d67245534b59.jpg': 1171252764}
map_photo_id_path_extension : {1171252784: {'path': 'temp/1740584239_3116993_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg', 'extension': 'jpg'}, 1171252487: {'path': 'temp/1740584239_3116993_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg', 'extension': 'jpg'}, 1171252764: {'path': 'temp/1740584239_3116993_1171252764_29d5179a892cc50aadc9d67245534b59.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step TFHub with tf2 !
multi_thcl or not :False
multi_thcl_cond or not :False
dic_thcl :  {'3609': 1}
we are using the classfication for only one thcl
3609


begin to check gpu status 
inside check gpu memory
2025-02-26 16:37:23.804959: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-02-26 16:37:23.806163: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-26 16:37:23.806319: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 16:37:23.806411: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 16:37:23.809813: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-26 16:37:23.809987: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-26 16:37:23.814311: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-26 16:37:23.816142: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-26 16:37:23.822501: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 16:37:23.823884: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-26 16:37:23.824459: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-02-26 16:37:23.859311: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz
2025-02-26 16:37:23.861872: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f2cdc000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-02-26 16:37:23.861916: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-02-26 16:37:23.866543: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x12c92480 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-02-26 16:37:23.866582: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-02-26 16:37:23.867773: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: 
pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5
coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s
2025-02-26 16:37:23.867980: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 16:37:23.868018: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-26 16:37:23.868159: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-26 16:37:23.868210: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-26 16:37:23.868266: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-26 16:37:23.868325: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-26 16:37:23.868383: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-26 16:37:23.870069: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-26 16:37:23.870190: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-26 16:37:23.870268: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-26 16:37:23.870286: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-26 16:37:23.870304: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-26 16:37:23.871941: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3096 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5)
l 3637 free memory gpu now : 6275  max_wait_temp :  1 max_wait :  5
1 Physical GPUs, 1 Logical GPUs

tagging for thcl : 3609
To do loadFromThcl(), then load ParamDescType : thcl3609
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (3609) 
 thcls : [{'id': 3609, 'mtr_user_id': 31, 'name': 'tfhub_19_06_2023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'jrm,pcm,pcnc,pehd,tapis_vide', 'svm_portfolios_learning': '9336903,9336904,9336905,9336906,9336909', 'photo_hashtag_type': 4674, 'photo_desc_type': 5832, 'type_classification': 'tf_classification2', 'hashtag_id_list': '495916461,560181804,1284539308,628944319,2107748999'}]
 thcl {'id': 3609, 'mtr_user_id': 31, 'name': 'tfhub_19_06_2023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'jrm,pcm,pcnc,pehd,tapis_vide', 'svm_portfolios_learning': '9336903,9336904,9336905,9336906,9336909', 'photo_hashtag_type': 4674, 'photo_desc_type': 5832, 'type_classification': 'tf_classification2', 'hashtag_id_list': '495916461,560181804,1284539308,628944319,2107748999'}
 Update svm_hashtag_type_desc : 5832
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (5832)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5832, 'tfhub_19_06_2023', 1280, 1280, 'tfhub_19_06_2023', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2023, 6, 19, 12, 55, 22), datetime.datetime(2023, 6, 19, 12, 55, 22))
model_name : tfhub_19_06_2023
model_param file didn't exist 
model_name : tfhub_19_06_2023
model_type : tf_classification2
list file need :
['Confusion_Matrix.png', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5']
file exist in s3 :
['Confusion_Matrix.png', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5']
file manque in s3 : 
[]
/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/../../tools/../lib/rpn/proposal_layer.py:28: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
  layer_params = yaml.load(self.param_str_)
local folder  : /data/models_weight/tfhub_19_06_2023


/data/models_weight/tfhub_19_06_2023/Confusion_Matrix.png
size_local : 57753 size in s3 : 57753
create time local : 2023-06-22 17:09:38 create time in s3 : 2023-06-19 10:55:15
Confusion_Matrix.png already exist and didn't need to update


/data/models_weight/tfhub_19_06_2023/Precision_Recall_jrm.jpg
size_local : 79724 size in s3 : 79724
create time local : 2023-06-22 17:09:38 create time in s3 : 2023-06-19 10:55:20
Precision_Recall_jrm.jpg already exist and didn't need to update


/data/models_weight/tfhub_19_06_2023/Precision_Recall_pcm.jpg
size_local : 83556 size in s3 : 83556
create time local : 2023-06-22 17:09:38 create time in s3 : 2023-06-19 10:55:15
Precision_Recall_pcm.jpg already exist and didn't need to update


/data/models_weight/tfhub_19_06_2023/Precision_Recall_pcnc.jpg
size_local : 74107 size in s3 : 74107
create time local : 2023-06-22 17:09:38 create time in s3 : 2023-06-19 10:55:20
Precision_Recall_pcnc.jpg already exist and didn't need to update


/data/models_weight/tfhub_19_06_2023/Precision_Recall_pehd.jpg
size_local : 72705 size in s3 : 72705
create time local : 2023-06-22 17:09:39 create time in s3 : 2023-06-19 10:55:20
Precision_Recall_pehd.jpg already exist and didn't need to update


/data/models_weight/tfhub_19_06_2023/Precision_Recall_tapis_vide.jpg
size_local : 70874 size in s3 : 70874
create time local : 2023-06-22 17:09:39 create time in s3 : 2023-06-19 10:55:15
Precision_Recall_tapis_vide.jpg already exist and didn't need to update


/data/models_weight/tfhub_19_06_2023/Result_Summary.txt
size_local : 642 size in s3 : 642
create time local : 2023-06-22 17:09:39 create time in s3 : 2023-06-19 10:55:22
Result_Summary.txt already exist and didn't need to update


/data/models_weight/tfhub_19_06_2023/checkpoint
size_local : 99 size in s3 : 99
create time local : 2023-06-22 17:09:39 create time in s3 : 2023-06-19 10:55:22
checkpoint already exist and didn't need to update


/data/models_weight/tfhub_19_06_2023/model_checkpoint.ckpt.data-00000-of-00002
size_local : 216488 size in s3 : 216488
create time local : 2023-06-22 17:09:39 create time in s3 : 2023-06-19 10:55:22
model_checkpoint.ckpt.data-00000-of-00002 already exist and didn't need to update


/data/models_weight/tfhub_19_06_2023/model_checkpoint.ckpt.data-00001-of-00002
size_local : 32279708 size in s3 : 32279708
create time local : 2023-06-22 17:09:40 create time in s3 : 2023-06-19 10:55:21
model_checkpoint.ckpt.data-00001-of-00002 already exist and didn't need to update


/data/models_weight/tfhub_19_06_2023/model_checkpoint.ckpt.index
size_local : 43546 size in s3 : 43546
create time local : 2023-06-22 17:09:40 create time in s3 : 2023-06-19 10:55:22
model_checkpoint.ckpt.index already exist and didn't need to update


/data/models_weight/tfhub_19_06_2023/model_weights.h5
size_local : 16499144 size in s3 : 16499144
create time local : 2023-06-22 17:09:40 create time in s3 : 2023-06-19 10:55:15
model_weights.h5 already exist and didn't need to update
desc size : 1280
Model: "sequential"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
module (KerasLayer)          (None, 1280)              4049564   
_________________________________________________________________
tfhub_19_06_2023dense (Dense (None, 5)                 6405      
=================================================================
Total params: 4,055,969
Trainable params: 6,405
Non-trainable params: 4,049,564
_________________________________________________________________
Loading Weights...
time used to create the model : 9.954962015151978
time used to load_weights : 0.1462879180908203

0it [00:00, ?it/s]
3it [00:00, 968.96it/s]2025-02-26 16:37:36.926308: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
temp/1740584239_3116993_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg
temp/1740584239_3116993_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg
temp/1740584239_3116993_1171252764_29d5179a892cc50aadc9d67245534b59.jpg
Found 3 images belonging to 1 classes.

 begin to do the prediction :
time used to do the prediction : 3.683257579803467
['temp/image000000000_1740584239_3116993_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg', 'temp/image000000001_1740584239_3116993_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg', 'temp/image000000002_1740584239_3116993_1171252764_29d5179a892cc50aadc9d67245534b59.jpg']
(3,)
(3, 5)
(3, 1280)
shape of features :  (3, 1280)
shape of new features :  (1, 3, 1280)


save descriptor for thcl : 3609
(3, 1280)
Got the blobs of the net
 to insert :  
[0, 6, 0, 0, 1, 0, 0, 1, 0, 0]
code_as_byte_string:b'0006000001'|
Got the blobs of the net
 to insert :  
[0, 9, 0, 0, 0, 0, 1, 0, 0, 0]
code_as_byte_string:b'0009000000'|
Got the blobs of the net
 to insert :  
[0, 6, 0, 1, 0, 0, 0, 1, 0, 0]
code_as_byte_string:b'0006000100'|
time to traite the descriptors :  0.0304410457611084
Testing : ['1171252784', '1171252487', '1171252764']
 In select_photos_meta_from_ids: 
        SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text
        FROM MTRBack.photos
        WHERE photo_id IN (1171252784,1171252487,1171252764) 
result : {1171252487: {'photo_id': 1171252487, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2023/2/22/5ebdd6b0a6bb39942a3808ed114806de.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22022023_21_55_35_005998m0.jpg 0.4259977941513062 for time 6.000020980834961, id_amount 3 this amount prod time diff : 0.006000020980834961'}, 1171252764: {'photo_id': 1171252764, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2023/2/22/29d5179a892cc50aadc9d67245534b59.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22022023_21_55_41_005998m0.jpg 0.4319977941513062 for time 6.0, id_amount 3 this amount prod time diff : 0.006'}, 1171252784: {'photo_id': 1171252784, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2023/2/22/5a3c5d3bb155a7a116f67ded51bffb59.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22022023_21_55_47_006033m0.jpg 0.4379978291988373 for time 6.000035047531128, id_amount 4 this amount prod time diff : 0.006000035047531128'}}
list_photo_exists : [1171252487, 1171252764, 1171252784]
storage_type for insertDescriptorsMulti : 3
To insert : 1171252784
To insert : 1171252487
To insert : 1171252764
time to insert the descriptors : 0.9114243984222412






After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 0 keys : dict_keys([])
Inside saveOutput : final : False verbose : True
 saveOutput not yet implemented for datou_step.type : tfhub_classification2 we use saveGeneral 
[1171252784, 1171252487, 1171252764]
 map_info['map_portfolio_photo'] : {}
 final :  False mtd_id 4567 list_pids : [1171252784, 1171252487, 1171252764]
Looping around the photos to save general results
len do output : 3
/1171252784Didn't retrieve data
.
/1171252487Didn't retrieve data
.
/1171252764Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2f689530d0>
Managing all output in save final without adding information in the mtr_datou_result 
('4567', None, None, None, None, None, None, None, None)
('4567', None, '1171252784', None, None, None, None, None, None)
('4567', None, None, None, None, None, None, None, None)
('4567', None, '1171252487', None, None, None, None, None, None)
('4567', None, None, None, None, None, None, None, None)
('4567', None, '1171252764', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 6
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4567', None, '1171252784', 'None', None, None, None, None, None), ('4567', None, '1171252487', 'None', None, None, None, None, None), ('4567', None, '1171252764', 'None', None, None, None, None, None)]
time used for this insertion : 0.012475728988647461
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 21.486778497695923
time spend to save output : 0.012833595275878906
total time spend for step 1 : 21.4996120929718

step2:argmax
Wed Feb 26 16:37:41 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584239_3116993_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg': 1171252784, 'temp/1740584239_3116993_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg': 1171252487, 'temp/1740584239_3116993_1171252764_29d5179a892cc50aadc9d67245534b59.jpg': 1171252764}
map_photo_id_path_extension : {1171252784: {'path': 'temp/1740584239_3116993_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg', 'extension': 'jpg'}, 1171252487: {'path': 'temp/1740584239_3116993_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg', 'extension': 'jpg'}, 1171252764: {'path': 'temp/1740584239_3116993_1171252764_29d5179a892cc50aadc9d67245534b59.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step Argmax !
calculate argmax for thcl : 3609

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 0 keys : dict_keys([])
Inside saveOutput : final : True verbose : True
 photo_id : 1171252784 output[photo_id] :  [(1171252784, 'jrm', 0.96776414, 4674, '3609'), 'temp/1740584239_3116993_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg']
 photo_id : 1171252487 output[photo_id] :  [(1171252487, 'jrm', 0.9264504, 4674, '3609'), 'temp/1740584239_3116993_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg']
 photo_id : 1171252764 output[photo_id] :  [(1171252764, 'jrm', 0.98536384, 4674, '3609'), 'temp/1740584239_3116993_1171252764_29d5179a892cc50aadc9d67245534b59.jpg']


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 3
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s)
 first line : ('1171252784', '495916461', '4674')
...
 last line : ('1171252764', '495916461', '4674')
time used for this insertion : 0.01563405990600586


begin to insert list_values into class_photo_scores : 
length of list_valuse in save_photo_hashtag_id_thcl_score : 3
insert into MTRPhoto.class_photo_score (thcl, photo_id, hashtag_id, score) values (%s,%s,%s,%s) on duplicate key update score = values(score)
time used for this insertion : 0.016852378845214844
len list_finale : 3, len picture : 3


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 3
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4567', None, '1171252784', 'jrm', None, None, '495916461', '0.96776414', None), ('4567', None, '1171252487', 'jrm', None, None, '495916461', '0.9264504', None), ('4567', None, '1171252764', 'jrm', None, None, '495916461', '0.98536384', None)]
time used for this insertion : 0.014996767044067383
saving photo_ids in datou_result
photo id not in port
photo id not in port
photo id not in port


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 0
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : []
time used for this insertion : 5.245208740234375e-06

save missing photos in datou_result :

time spend for datou_step_exec : 0.00019884109497070312
time spend to save output : 0.05186748504638672
total time spend for step 2 : 0.05206632614135742

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 2
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 2
 output : {'1171252784': [(1171252784, 'jrm', 0.96776414, 4674, '3609'), 'temp/1740584239_3116993_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg'], '1171252487': [(1171252487, 'jrm', 0.9264504, 4674, '3609'), 'temp/1740584239_3116993_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg'], '1171252764': [(1171252764, 'jrm', 0.98536384, 4674, '3609'), 'temp/1740584239_3116993_1171252764_29d5179a892cc50aadc9d67245534b59.jpg']}
--------------------- test with use_multi_inputs=0 is succeded -------------------
######################## test with use_multi_inputs=1 ########################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4621

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4621
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4621
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4621
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 12927 tfhub_classification2 is not linked in the step_by_step architecture !
WARNING : step 12928 argmax is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : tfhub_classification2, argmax
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1171291875,1171275372,1171275314) 
 Found this number of photos: 3
##### Call download_photos : nb_thread : 5
begin to download photo : 1171275314
begin to download photo : 1171275372
begin to download photo : 1171291875
download finish for photo 1171291875
download finish for photo 1171275314
download finish for photo 1171275372
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 3 ; length of list_pids : 3 ; length of list_args : 3
##### After load_data_input 
time to download the photos : 0.2600071430206299
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  2
step1:tfhub_classification2
Wed Feb 26 16:37:41 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584261_3116993_1171291875_b62cd9e0d976b143f86fe82d072798c0.jpg': 1171291875, 'temp/1740584261_3116993_1171275314_6e0a72c8fa00d5e4b018bd689b547133.jpg': 1171275314, 'temp/1740584261_3116993_1171275372_76d81364ff7df843bff095f45c07ba35.jpg': 1171275372}
map_photo_id_path_extension : {1171291875: {'path': 'temp/1740584261_3116993_1171291875_b62cd9e0d976b143f86fe82d072798c0.jpg', 'extension': 'jpg'}, 1171275314: {'path': 'temp/1740584261_3116993_1171275314_6e0a72c8fa00d5e4b018bd689b547133.jpg', 'extension': 'jpg'}, 1171275372: {'path': 'temp/1740584261_3116993_1171275372_76d81364ff7df843bff095f45c07ba35.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step TFHub with tf2 !
multi_thcl or not :False
multi_thcl_cond or not :False
dic_thcl :  {'3655': 1}
we are using the classfication for only one thcl
3655


begin to check gpu status 
inside check gpu memory
inside check gpu memory
inside check gpu memory
inside check gpu memory
inside check gpu memory
inside check gpu memory
l 3637 free memory gpu now : 2723  max_wait_temp :  6 max_wait :  5
1 Physical GPUs, 1 Logical GPUs

tagging for thcl : 3655
To do loadFromThcl(), then load ParamDescType : thcl3655
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (3655) 
 thcls : [{'id': 3655, 'mtr_user_id': 31, 'name': 'tfhub_18_7_2023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'pcm,pcnc,jrm,pehd,tapis_vide', 'svm_portfolios_learning': '9336904,9336905,9336903,9336906,9336909', 'photo_hashtag_type': 4723, 'photo_desc_type': 5862, 'type_classification': 'tf_classification2', 'hashtag_id_list': '560181804,1284539308,495916461,628944319,2107748999'}]
 thcl {'id': 3655, 'mtr_user_id': 31, 'name': 'tfhub_18_7_2023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'pcm,pcnc,jrm,pehd,tapis_vide', 'svm_portfolios_learning': '9336904,9336905,9336903,9336906,9336909', 'photo_hashtag_type': 4723, 'photo_desc_type': 5862, 'type_classification': 'tf_classification2', 'hashtag_id_list': '560181804,1284539308,495916461,628944319,2107748999'}
 Update svm_hashtag_type_desc : 5862
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (5862)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5862, 'tfhub_18_7_2023', 1280, 1280, 'tfhub_18_7_2023', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2023, 7, 18, 22, 46, 29), datetime.datetime(2023, 7, 18, 22, 46, 29))
model_name : tfhub_18_7_2023
model_param file didn't exist 
model_name : tfhub_18_7_2023
model_type : tf_classification2
list file need :
['Confusion_Matrix.png', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5']
file exist in s3 :
['Confusion_Matrix.png', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5']
file manque in s3 : 
[]
local folder  : /data/models_weight/tfhub_18_7_2023


/data/models_weight/tfhub_18_7_2023/Confusion_Matrix.png
size_local : 54360 size in s3 : 54360
create time local : 2023-08-11 11:22:56 create time in s3 : 2023-07-18 20:46:28
Confusion_Matrix.png already exist and didn't need to update


/data/models_weight/tfhub_18_7_2023/Precision_Recall_jrm.jpg
size_local : 72583 size in s3 : 72583
create time local : 2023-08-11 11:22:56 create time in s3 : 2023-07-18 20:46:23
Precision_Recall_jrm.jpg already exist and didn't need to update


/data/models_weight/tfhub_18_7_2023/Precision_Recall_pcm.jpg
size_local : 81681 size in s3 : 81681
create time local : 2023-08-11 11:22:56 create time in s3 : 2023-07-18 20:46:17
Precision_Recall_pcm.jpg already exist and didn't need to update


/data/models_weight/tfhub_18_7_2023/Precision_Recall_pcnc.jpg
size_local : 79510 size in s3 : 79510
create time local : 2023-08-11 11:22:56 create time in s3 : 2023-07-18 20:46:23
Precision_Recall_pcnc.jpg already exist and didn't need to update


/data/models_weight/tfhub_18_7_2023/Precision_Recall_pehd.jpg
size_local : 59936 size in s3 : 59936
create time local : 2023-08-11 11:22:57 create time in s3 : 2023-07-18 20:46:23
Precision_Recall_pehd.jpg already exist and didn't need to update


/data/models_weight/tfhub_18_7_2023/Precision_Recall_tapis_vide.jpg
size_local : 78974 size in s3 : 78974
create time local : 2023-08-11 11:22:57 create time in s3 : 2023-07-18 20:46:17
Precision_Recall_tapis_vide.jpg already exist and didn't need to update


/data/models_weight/tfhub_18_7_2023/Result_Summary.txt
size_local : 642 size in s3 : 642
create time local : 2023-08-11 11:22:57 create time in s3 : 2023-07-18 20:46:23
Result_Summary.txt already exist and didn't need to update


/data/models_weight/tfhub_18_7_2023/checkpoint
size_local : 99 size in s3 : 99
create time local : 2023-08-11 11:22:57 create time in s3 : 2023-07-18 20:46:23
checkpoint already exist and didn't need to update


/data/models_weight/tfhub_18_7_2023/model_checkpoint.ckpt.data-00000-of-00002
size_local : 216529 size in s3 : 216529
create time local : 2023-08-11 11:22:57 create time in s3 : 2023-07-18 20:46:17
model_checkpoint.ckpt.data-00000-of-00002 already exist and didn't need to update


/data/models_weight/tfhub_18_7_2023/model_checkpoint.ckpt.data-00001-of-00002
size_local : 32279748 size in s3 : 32279748
create time local : 2023-08-11 11:22:58 create time in s3 : 2023-07-18 20:46:19
model_checkpoint.ckpt.data-00001-of-00002 already exist and didn't need to update


/data/models_weight/tfhub_18_7_2023/model_checkpoint.ckpt.index
size_local : 43546 size in s3 : 43546
create time local : 2023-08-11 11:22:58 create time in s3 : 2023-07-18 20:46:19
model_checkpoint.ckpt.index already exist and didn't need to update


/data/models_weight/tfhub_18_7_2023/model_weights.h5
size_local : 16500868 size in s3 : 16500868
create time local : 2023-08-11 11:22:58 create time in s3 : 2023-07-18 20:46:18
model_weights.h5 already exist and didn't need to update
desc size : 1280
Model: "model"
__________________________________________________________________________________________________
Layer (type)                    Output Shape         Param #     Connected to                     
==================================================================================================
input_1 (InputLayer)            [(None, 224, 224, 3) 0                                            
__________________________________________________________________________________________________
input_2 (InputLayer)            [(None, 1)]          0                                            
__________________________________________________________________________________________________
module (KerasLayer)             (None, 1280)         4049564     input_1[0][0]                    
__________________________________________________________________________________________________
concatenate (Concatenate)       (None, 1281)         0           input_2[0][0]                    
                                                                 module[0][0]                     
__________________________________________________________________________________________________
tfhub_18_7_2023dense (Dense)    (None, 5)            6410        concatenate[0][0]                
==================================================================================================
Total params: 4,055,974
Trainable params: 0
Non-trainable params: 4,055,974
__________________________________________________________________________________________________
Loading Weights...
time used to create the model : 8.34340786933899
time used to load_weights : 0.1325089931488037
found 3 data
found 0 labels

 begin to do the prediction :
time used to do the prediction : 1.069934368133545
['temp/1740584261_3116993_1171291875_b62cd9e0d976b143f86fe82d072798c0.jpg', 'temp/1740584261_3116993_1171275314_6e0a72c8fa00d5e4b018bd689b547133.jpg', 'temp/1740584261_3116993_1171275372_76d81364ff7df843bff095f45c07ba35.jpg']
(3,)
(3, 5)
(3, 1280)
shape of features :  (3, 1280)
shape of new features :  (1, 3, 1280)


save descriptor for thcl : 3655
(3, 1280)
Got the blobs of the net
 to insert :  
[0, 1, 0, 0, 11, 0, 2, 2, 0, 0]
code_as_byte_string:b'000100000b'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 8, 0, 0, 0, 3, 0]
code_as_byte_string:b'0000000008'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 14, 0, 1, 4, 0, 0]
code_as_byte_string:b'000000000e'|
time to traite the descriptors :  0.03608083724975586
Testing : ['1171291875', '1171275314', '1171275372']
 In select_photos_meta_from_ids: 
        SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text
        FROM MTRBack.photos
        WHERE photo_id IN (1171291875,1171275314,1171275372) 
result : {1171275314: {'photo_id': 1171275314, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2023/2/23/6e0a72c8fa00d5e4b018bd689b547133.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22022023_23_54_22_6187.jpg'}, 1171275372: {'photo_id': 1171275372, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2023/2/23/76d81364ff7df843bff095f45c07ba35.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22022023_23_56_46_6098.jpg'}, 1171291875: {'photo_id': 1171291875, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2023/2/23/b62cd9e0d976b143f86fe82d072798c0.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22022023_23_59_04_5803.jpg'}}
list_photo_exists : [1171275314, 1171275372, 1171291875]
storage_type for insertDescriptorsMulti : 3
To insert : 1171291875
To insert : 1171275314
To insert : 1171275372
time to insert the descriptors : 0.979233980178833






After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 0 keys : dict_keys([])
Inside saveOutput : final : False verbose : True
 saveOutput not yet implemented for datou_step.type : tfhub_classification2 we use saveGeneral 
[1171291875, 1171275314, 1171275372]
 map_info['map_portfolio_photo'] : {}
 final :  False mtd_id 4621 list_pids : [1171291875, 1171275314, 1171275372]
Looping around the photos to save general results
len do output : 3
/1171291875Didn't retrieve data
.
/1171275314Didn't retrieve data
.
/1171275372Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2dd0bb3f10>
Managing all output in save final without adding information in the mtr_datou_result 
('4621', None, None, None, None, None, None, None, None)
('4621', None, '1171291875', None, None, None, None, None, None)
('4621', None, None, None, None, None, None, None, None)
('4621', None, '1171275314', None, None, None, None, None, None)
('4621', None, None, None, None, None, None, None, None)
('4621', None, '1171275372', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 6
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4621', None, '1171291875', 'None', None, None, None, None, None), ('4621', None, '1171275314', 'None', None, None, None, None, None), ('4621', None, '1171275372', 'None', None, None, None, None, None)]
time used for this insertion : 0.012578010559082031
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 19.981770277023315
time spend to save output : 0.012861967086791992
total time spend for step 1 : 19.994632244110107

step2:argmax
Wed Feb 26 16:38:01 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584261_3116993_1171291875_b62cd9e0d976b143f86fe82d072798c0.jpg': 1171291875, 'temp/1740584261_3116993_1171275314_6e0a72c8fa00d5e4b018bd689b547133.jpg': 1171275314, 'temp/1740584261_3116993_1171275372_76d81364ff7df843bff095f45c07ba35.jpg': 1171275372}
map_photo_id_path_extension : {1171291875: {'path': 'temp/1740584261_3116993_1171291875_b62cd9e0d976b143f86fe82d072798c0.jpg', 'extension': 'jpg'}, 1171275314: {'path': 'temp/1740584261_3116993_1171275314_6e0a72c8fa00d5e4b018bd689b547133.jpg', 'extension': 'jpg'}, 1171275372: {'path': 'temp/1740584261_3116993_1171275372_76d81364ff7df843bff095f45c07ba35.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step Argmax !
calculate argmax for thcl : 3655

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 0 keys : dict_keys([])
Inside saveOutput : final : True verbose : True
 photo_id : 1171291875 output[photo_id] :  [(1171291875, 'tapis_vide', 0.9707344, 4723, '3655'), 'temp/1740584261_3116993_1171291875_b62cd9e0d976b143f86fe82d072798c0.jpg']
 photo_id : 1171275314 output[photo_id] :  [(1171275314, 'tapis_vide', 0.96514153, 4723, '3655'), 'temp/1740584261_3116993_1171275314_6e0a72c8fa00d5e4b018bd689b547133.jpg']
 photo_id : 1171275372 output[photo_id] :  [(1171275372, 'tapis_vide', 0.96742076, 4723, '3655'), 'temp/1740584261_3116993_1171275372_76d81364ff7df843bff095f45c07ba35.jpg']


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 3
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s)
 first line : ('1171291875', '2107748999', '4723')
...
 last line : ('1171275372', '2107748999', '4723')
time used for this insertion : 0.008653402328491211


begin to insert list_values into class_photo_scores : 
length of list_valuse in save_photo_hashtag_id_thcl_score : 3
insert into MTRPhoto.class_photo_score (thcl, photo_id, hashtag_id, score) values (%s,%s,%s,%s) on duplicate key update score = values(score)
time used for this insertion : 0.012045145034790039
len list_finale : 3, len picture : 3


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 3
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4621', None, '1171291875', 'tapis_vide', None, None, '2107748999', '0.9707344', None), ('4621', None, '1171275314', 'tapis_vide', None, None, '2107748999', '0.96514153', None), ('4621', None, '1171275372', 'tapis_vide', None, None, '2107748999', '0.96742076', None)]
time used for this insertion : 0.011838674545288086
saving photo_ids in datou_result
photo id not in port
photo id not in port
photo id not in port


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 0
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : []
time used for this insertion : 3.337860107421875e-06

save missing photos in datou_result :

time spend for datou_step_exec : 0.0001392364501953125
time spend to save output : 0.0377199649810791
total time spend for step 2 : 0.037859201431274414

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 2
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 2
 output : {'1171291875': [(1171291875, 'tapis_vide', 0.9707344, 4723, '3655'), 'temp/1740584261_3116993_1171291875_b62cd9e0d976b143f86fe82d072798c0.jpg'], '1171275314': [(1171275314, 'tapis_vide', 0.96514153, 4723, '3655'), 'temp/1740584261_3116993_1171275314_6e0a72c8fa00d5e4b018bd689b547133.jpg'], '1171275372': [(1171275372, 'tapis_vide', 0.96742076, 4723, '3655'), 'temp/1740584261_3116993_1171275372_76d81364ff7df843bff095f45c07ba35.jpg']}
--------------------- test with use_multi_inputs=1 is succeded -------------------

############################### TEST ordonner  ################################
To do loadFromThcl(), then load ParamDescType : thcl358
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (358) 
 thcls : [{'id': 358, 'mtr_user_id': 31, 'name': 'car_orientation_0111', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'FirstUploadExperveo_vignette__port_505674,CAR_EXTERIEUR_Roue__port_503398,FirstUploadExperveo_carrosseriegrosplan_VIndanslamoquette__port_506486,FirstUploadExperveo_carrosseriegrosplan_siegegrosplan__port_506485,CAR_EXTERIEUR_Cote_droit_axe_avant__port_504465,CAR_EXTERIEUR_Cote_gauche_axe_arriere__port_504198,CAR_EXTERIEUR_Face_avant_axe_droit__port_504451,CAR_EXTERIEUR_angle_avant_gauche_axe_avant__port_504235,FirstUploadExperveo_vin__port_505675,CAR_EXTERIEUR_cote_droite__port_504108,CAR_INTERIEUR_avant_volant_class_6_levierdevitesse__port_506565,FirstUploadExperveo_carrosseriegrosplan_carrosserie__port_506483,CAR_EXTERIEUR_Angle_arriere_gauche_axe_arriere__port_504201,cartegrise_orientation__port_505064,CAR_EXTERIEUR_Angle_arriere_droit_axe_arriere__port_504217,CAR_INTERIEUR_avant_vue-arriere_class_1__port_506531,CAR_EXTERIEUR_Face_arriere_axe_droit__port_504218,CAR_EXTERIEUR_Cote_droit_axe_arriere__port_504214,CAR_EXTERIEUR_Angle_avant_droit__port_504087,FirstUploadExperveo_carrosseriegrosplan_morceauderoue__port_506484,CAR_INTERIEUR_avant_volant_class_6_class_2__port_506563,CAR_EXTERIEUR_Angle_arriere_droit__port_504160,CAR_EXTERIEUR_arriere__port_504184,CAR_INTERIEUR_avant_volant_class_6_boutonrond__port_506562,INTERIEUR_Compteur_kilometrique__port_503644,CAR_INTERIEUR_avant_vue_gauche_habitacle_class_1__port_506494,CAR_EXTERIEUR_Angle_arriere_gauche__port_504170,CAR_EXTERIEUR_Angle_avant_droit_axe_arriere__port_504226,CAR_EXTERIEUR_Face_arriere_axe_gauche__port_504202,CAR_EXTERIEUR_moteur__port_503704,FirstUploadExperveo_carrosseriegrosplan_class_6__port_506487,CAR_INTERIEUR_siege_arriere_class_1__port_506551,CAR_EXTERIEUR_avant__port_504146,CAR_EXTERIEUR_Angle_arriere_droit_axe_droit__port_504215,CAR_EXTERIEUR_Angle_avant_droit_axe_droit__port_504225,CAR_INTERIEUR_avant_volant_class_6_ecrangrosplan__port_506564,FirstUploadExperveo_carrosseriegrosplan_moteurgrosplanetdegat__port_506482,CAR_INTERIEUR_coffre__port_503412,FirstUploadExperveo_rouetranche__port_505677,UploadPhotoImmatBest_class_1__port_505051,CAR_INTERIEUR_avant_vue-arriere_class_2__port_506532,CAR_EXTERIEUR_angle_avant_gauche__port_504098,CAR_EXTERIEUR_face_avant_axe_gauche__port_504236,CAR_INTERIEUR_avant_vue_droite_habitacle_class_1__port_506540,CAR_EXTERIEUR_cote_gauche_axe_avant__port_504233,CAR_EXTERIEUR_roue_de_secour__port_503763,CAR_EXTERIEUR_Angle_arriere_gauche_axe_gauche__port_504199,CAR_EXTERIEUR_cote_gauche__port_504017,CAR_INTERIEUR_avant_volant_class_1__port_506503,CAR_INTERIEUR_avant_volant_class_2__port_506504,CAR_EXTERIEUR_angle_avant_gauche_axe_gauche__port_504234', 'svm_portfolios_learning': '505674,503398,506486,506485,504465,504198,504451,504235,505675,504108,506565,506483,504201,505064,504217,506531,504218,504214,504087,506484,506563,504160,504184,506562,503644,506494,504170,504226,504202,503704,506487,506551,504146,504215,504225,506564,506482,503412,505677,505051,506532,504098,504236,506540,504233,503763,504199,504017,506503,506504,504234', 'photo_hashtag_type': 337, 'photo_desc_type': 3392, 'type_classification': 'caffe', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}]
 thcl {'id': 358, 'mtr_user_id': 31, 'name': 'car_orientation_0111', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'FirstUploadExperveo_vignette__port_505674,CAR_EXTERIEUR_Roue__port_503398,FirstUploadExperveo_carrosseriegrosplan_VIndanslamoquette__port_506486,FirstUploadExperveo_carrosseriegrosplan_siegegrosplan__port_506485,CAR_EXTERIEUR_Cote_droit_axe_avant__port_504465,CAR_EXTERIEUR_Cote_gauche_axe_arriere__port_504198,CAR_EXTERIEUR_Face_avant_axe_droit__port_504451,CAR_EXTERIEUR_angle_avant_gauche_axe_avant__port_504235,FirstUploadExperveo_vin__port_505675,CAR_EXTERIEUR_cote_droite__port_504108,CAR_INTERIEUR_avant_volant_class_6_levierdevitesse__port_506565,FirstUploadExperveo_carrosseriegrosplan_carrosserie__port_506483,CAR_EXTERIEUR_Angle_arriere_gauche_axe_arriere__port_504201,cartegrise_orientation__port_505064,CAR_EXTERIEUR_Angle_arriere_droit_axe_arriere__port_504217,CAR_INTERIEUR_avant_vue-arriere_class_1__port_506531,CAR_EXTERIEUR_Face_arriere_axe_droit__port_504218,CAR_EXTERIEUR_Cote_droit_axe_arriere__port_504214,CAR_EXTERIEUR_Angle_avant_droit__port_504087,FirstUploadExperveo_carrosseriegrosplan_morceauderoue__port_506484,CAR_INTERIEUR_avant_volant_class_6_class_2__port_506563,CAR_EXTERIEUR_Angle_arriere_droit__port_504160,CAR_EXTERIEUR_arriere__port_504184,CAR_INTERIEUR_avant_volant_class_6_boutonrond__port_506562,INTERIEUR_Compteur_kilometrique__port_503644,CAR_INTERIEUR_avant_vue_gauche_habitacle_class_1__port_506494,CAR_EXTERIEUR_Angle_arriere_gauche__port_504170,CAR_EXTERIEUR_Angle_avant_droit_axe_arriere__port_504226,CAR_EXTERIEUR_Face_arriere_axe_gauche__port_504202,CAR_EXTERIEUR_moteur__port_503704,FirstUploadExperveo_carrosseriegrosplan_class_6__port_506487,CAR_INTERIEUR_siege_arriere_class_1__port_506551,CAR_EXTERIEUR_avant__port_504146,CAR_EXTERIEUR_Angle_arriere_droit_axe_droit__port_504215,CAR_EXTERIEUR_Angle_avant_droit_axe_droit__port_504225,CAR_INTERIEUR_avant_volant_class_6_ecrangrosplan__port_506564,FirstUploadExperveo_carrosseriegrosplan_moteurgrosplanetdegat__port_506482,CAR_INTERIEUR_coffre__port_503412,FirstUploadExperveo_rouetranche__port_505677,UploadPhotoImmatBest_class_1__port_505051,CAR_INTERIEUR_avant_vue-arriere_class_2__port_506532,CAR_EXTERIEUR_angle_avant_gauche__port_504098,CAR_EXTERIEUR_face_avant_axe_gauche__port_504236,CAR_INTERIEUR_avant_vue_droite_habitacle_class_1__port_506540,CAR_EXTERIEUR_cote_gauche_axe_avant__port_504233,CAR_EXTERIEUR_roue_de_secour__port_503763,CAR_EXTERIEUR_Angle_arriere_gauche_axe_gauche__port_504199,CAR_EXTERIEUR_cote_gauche__port_504017,CAR_INTERIEUR_avant_volant_class_1__port_506503,CAR_INTERIEUR_avant_volant_class_2__port_506504,CAR_EXTERIEUR_angle_avant_gauche_axe_gauche__port_504234', 'svm_portfolios_learning': '505674,503398,506486,506485,504465,504198,504451,504235,505675,504108,506565,506483,504201,505064,504217,506531,504218,504214,504087,506484,506563,504160,504184,506562,503644,506494,504170,504226,504202,503704,506487,506551,504146,504215,504225,506564,506482,503412,505677,505051,506532,504098,504236,506540,504233,503763,504199,504017,506503,506504,504234', 'photo_hashtag_type': 337, 'photo_desc_type': 3392, 'type_classification': 'caffe', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}
 Update svm_hashtag_type_desc : 3392
['FirstUploadExperveo_vignette__port_505674', 'CAR_EXTERIEUR_Roue__port_503398', 'FirstUploadExperveo_carrosseriegrosplan_VIndanslamoquette__port_506486', 'FirstUploadExperveo_carrosseriegrosplan_siegegrosplan__port_506485', 'CAR_EXTERIEUR_Cote_droit_axe_avant__port_504465', 'CAR_EXTERIEUR_Cote_gauche_axe_arriere__port_504198', 'CAR_EXTERIEUR_Face_avant_axe_droit__port_504451', 'CAR_EXTERIEUR_angle_avant_gauche_axe_avant__port_504235', 'FirstUploadExperveo_vin__port_505675', 'CAR_EXTERIEUR_cote_droite__port_504108', 'CAR_INTERIEUR_avant_volant_class_6_levierdevitesse__port_506565', 'FirstUploadExperveo_carrosseriegrosplan_carrosserie__port_506483', 'CAR_EXTERIEUR_Angle_arriere_gauche_axe_arriere__port_504201', 'cartegrise_orientation__port_505064', 'CAR_EXTERIEUR_Angle_arriere_droit_axe_arriere__port_504217', 'CAR_INTERIEUR_avant_vue-arriere_class_1__port_506531', 'CAR_EXTERIEUR_Face_arriere_axe_droit__port_504218', 'CAR_EXTERIEUR_Cote_droit_axe_arriere__port_504214', 'CAR_EXTERIEUR_Angle_avant_droit__port_504087', 'FirstUploadExperveo_carrosseriegrosplan_morceauderoue__port_506484', 'CAR_INTERIEUR_avant_volant_class_6_class_2__port_506563', 'CAR_EXTERIEUR_Angle_arriere_droit__port_504160', 'CAR_EXTERIEUR_arriere__port_504184', 'CAR_INTERIEUR_avant_volant_class_6_boutonrond__port_506562', 'INTERIEUR_Compteur_kilometrique__port_503644', 'CAR_INTERIEUR_avant_vue_gauche_habitacle_class_1__port_506494', 'CAR_EXTERIEUR_Angle_arriere_gauche__port_504170', 'CAR_EXTERIEUR_Angle_avant_droit_axe_arriere__port_504226', 'CAR_EXTERIEUR_Face_arriere_axe_gauche__port_504202', 'CAR_EXTERIEUR_moteur__port_503704', 'FirstUploadExperveo_carrosseriegrosplan_class_6__port_506487', 'CAR_INTERIEUR_siege_arriere_class_1__port_506551', 'CAR_EXTERIEUR_avant__port_504146', 'CAR_EXTERIEUR_Angle_arriere_droit_axe_droit__port_504215', 'CAR_EXTERIEUR_Angle_avant_droit_axe_droit__port_504225', 'CAR_INTERIEUR_avant_volant_class_6_ecrangrosplan__port_506564', 'FirstUploadExperveo_carrosseriegrosplan_moteurgrosplanetdegat__port_506482', 'CAR_INTERIEUR_coffre__port_503412', 'FirstUploadExperveo_rouetranche__port_505677', 'UploadPhotoImmatBest_class_1__port_505051', 'CAR_INTERIEUR_avant_vue-arriere_class_2__port_506532', 'CAR_EXTERIEUR_angle_avant_gauche__port_504098', 'CAR_EXTERIEUR_face_avant_axe_gauche__port_504236', 'CAR_INTERIEUR_avant_vue_droite_habitacle_class_1__port_506540', 'CAR_EXTERIEUR_cote_gauche_axe_avant__port_504233', 'CAR_EXTERIEUR_roue_de_secour__port_503763', 'CAR_EXTERIEUR_Angle_arriere_gauche_axe_gauche__port_504199', 'CAR_EXTERIEUR_cote_gauche__port_504017', 'CAR_INTERIEUR_avant_volant_class_1__port_506503', 'CAR_INTERIEUR_avant_volant_class_2__port_506504', 'CAR_EXTERIEUR_angle_avant_gauche_axe_gauche__port_504234']
51
SELECT hashtag_id,hashtag FROM MTRBack.hashtags where hashtag in ('FirstUploadExperveo_vignette__port_505674','CAR_EXTERIEUR_Roue__port_503398','FirstUploadExperveo_carrosseriegrosplan_VIndanslamoquette__port_506486','FirstUploadExperveo_carrosseriegrosplan_siegegrosplan__port_506485','CAR_EXTERIEUR_Cote_droit_axe_avant__port_504465','CAR_EXTERIEUR_Cote_gauche_axe_arriere__port_504198','CAR_EXTERIEUR_Face_avant_axe_droit__port_504451','CAR_EXTERIEUR_angle_avant_gauche_axe_avant__port_504235','FirstUploadExperveo_vin__port_505675','CAR_EXTERIEUR_cote_droite__port_504108','CAR_INTERIEUR_avant_volant_class_6_levierdevitesse__port_506565','FirstUploadExperveo_carrosseriegrosplan_carrosserie__port_506483','CAR_EXTERIEUR_Angle_arriere_gauche_axe_arriere__port_504201','cartegrise_orientation__port_505064','CAR_EXTERIEUR_Angle_arriere_droit_axe_arriere__port_504217','CAR_INTERIEUR_avant_vue-arriere_class_1__port_506531','CAR_EXTERIEUR_Face_arriere_axe_droit__port_504218','CAR_EXTERIEUR_Cote_droit_axe_arriere__port_504214','CAR_EXTERIEUR_Angle_avant_droit__port_504087','FirstUploadExperveo_carrosseriegrosplan_morceauderoue__port_506484','CAR_INTERIEUR_avant_volant_class_6_class_2__port_506563','CAR_EXTERIEUR_Angle_arriere_droit__port_504160','CAR_EXTERIEUR_arriere__port_504184','CAR_INTERIEUR_avant_volant_class_6_boutonrond__port_506562','INTERIEUR_Compteur_kilometrique__port_503644','CAR_INTERIEUR_avant_vue_gauche_habitacle_class_1__port_506494','CAR_EXTERIEUR_Angle_arriere_gauche__port_504170','CAR_EXTERIEUR_Angle_avant_droit_axe_arriere__port_504226','CAR_EXTERIEUR_Face_arriere_axe_gauche__port_504202','CAR_EXTERIEUR_moteur__port_503704','FirstUploadExperveo_carrosseriegrosplan_class_6__port_506487','CAR_INTERIEUR_siege_arriere_class_1__port_506551','CAR_EXTERIEUR_avant__port_504146','CAR_EXTERIEUR_Angle_arriere_droit_axe_droit__port_504215','CAR_EXTERIEUR_Angle_avant_droit_axe_droit__port_504225','CAR_INTERIEUR_avant_volant_class_6_ecrangrosplan__port_506564','FirstUploadExperveo_carrosseriegrosplan_moteurgrosplanetdegat__port_506482','CAR_INTERIEUR_coffre__port_503412','FirstUploadExperveo_rouetranche__port_505677','UploadPhotoImmatBest_class_1__port_505051','CAR_INTERIEUR_avant_vue-arriere_class_2__port_506532','CAR_EXTERIEUR_angle_avant_gauche__port_504098','CAR_EXTERIEUR_face_avant_axe_gauche__port_504236','CAR_INTERIEUR_avant_vue_droite_habitacle_class_1__port_506540','CAR_EXTERIEUR_cote_gauche_axe_avant__port_504233','CAR_EXTERIEUR_roue_de_secour__port_503763','CAR_EXTERIEUR_Angle_arriere_gauche_axe_gauche__port_504199','CAR_EXTERIEUR_cote_gauche__port_504017','CAR_INTERIEUR_avant_volant_class_1__port_506503','CAR_INTERIEUR_avant_volant_class_2__port_506504','CAR_EXTERIEUR_angle_avant_gauche_axe_gauche__port_504234'); 
51
dict_keys(['cartegrise_orientation__port_505064', 'car_exterieur_angle_arriere_droit_axe_arriere__port_504217', 'car_exterieur_angle_arriere_droit_axe_droit__port_504215', 'car_exterieur_angle_arriere_droit__port_504160', 'car_exterieur_angle_arriere_gauche_axe_arriere__port_504201', 'car_exterieur_angle_arriere_gauche_axe_gauche__port_504199', 'car_exterieur_angle_arriere_gauche__port_504170', 'car_exterieur_angle_avant_droit_axe_arriere__port_504226', 'car_exterieur_angle_avant_droit_axe_droit__port_504225', 'car_exterieur_angle_avant_droit__port_504087', 'car_exterieur_angle_avant_gauche_axe_avant__port_504235', 'car_exterieur_angle_avant_gauche_axe_gauche__port_504234', 'car_exterieur_angle_avant_gauche__port_504098', 'car_exterieur_arriere__port_504184', 'car_exterieur_avant__port_504146', 'car_exterieur_cote_droite__port_504108', 'car_exterieur_cote_droit_axe_arriere__port_504214', 'car_exterieur_cote_droit_axe_avant__port_504465', 'car_exterieur_cote_gauche_axe_arriere__port_504198', 'car_exterieur_cote_gauche_axe_avant__port_504233', 'car_exterieur_cote_gauche__port_504017', 'car_exterieur_face_arriere_axe_droit__port_504218', 'car_exterieur_face_arriere_axe_gauche__port_504202', 'car_exterieur_face_avant_axe_droit__port_504451', 'car_exterieur_face_avant_axe_gauche__port_504236', 'car_exterieur_moteur__port_503704', 'car_exterieur_roue_de_secour__port_503763', 'car_exterieur_roue__port_503398', 'car_interieur_avant_volant_class_1__port_506503', 'car_interieur_avant_volant_class_2__port_506504', 'car_interieur_avant_volant_class_6_boutonrond__port_506562', 'car_interieur_avant_volant_class_6_class_2__port_506563', 'car_interieur_avant_volant_class_6_ecrangrosplan__port_506564', 'car_interieur_avant_volant_class_6_levierdevitesse__port_506565', 'car_interieur_avant_vue-arriere_class_1__port_506531', 'car_interieur_avant_vue-arriere_class_2__port_506532', 'car_interieur_avant_vue_droite_habitacle_class_1__port_506540', 'car_interieur_avant_vue_gauche_habitacle_class_1__port_506494', 'car_interieur_coffre__port_503412', 'car_interieur_siege_arriere_class_1__port_506551', 'firstuploadexperveo_carrosseriegrosplan_carrosserie__port_506483', 'firstuploadexperveo_carrosseriegrosplan_class_6__port_506487', 'firstuploadexperveo_carrosseriegrosplan_morceauderoue__port_506484', 'firstuploadexperveo_carrosseriegrosplan_moteurgrosplanetdegat__port_506482', 'firstuploadexperveo_carrosseriegrosplan_siegegrosplan__port_506485', 'firstuploadexperveo_carrosseriegrosplan_vindanslamoquette__port_506486', 'firstuploadexperveo_rouetranche__port_505677', 'firstuploadexperveo_vignette__port_505674', 'firstuploadexperveo_vin__port_505675', 'interieur_compteur_kilometrique__port_503644', 'uploadphotoimmatbest_class_1__port_505051'])
select photo_hashtag_type from MTRDatou.classification_theme where id = 358
thcl :  358
photo_hashtag_type :  337

                    SELECT phi.hashtag_id , phi.photo_id FROM MTRBack.photo_hashtag_ids phi,
                    MTRUser.mtr_portfolio_photos mp
                    where phi.type = 337 and phi.photo_id = mp.mtr_photo_id and mp.mtr_portfolio_id =510365;
{510365: [(917973295, 1), (917973297, 1), (917973302, 1), (917973293, 7), (917973296, 11), (917973300, 11), (917973286, 13), (917973289, 13), (917973301, 24), (917973285, 29), (917973290, 29), (917973299, 29), (917973304, 35), (917973287, 36), (917973298, 36), (917973305, 36), (917973292, 37), (917973291, 41), (917973303, 41), (917973294, 42), (917973288, 46)]}

############################### TEST rotate  ################################
test rotate only
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=230

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=230
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 230
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=230
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : rotate
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (917849322) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 917849322
download finish for photo 917849322
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.14239716529846191
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:rotate
Wed Feb 26 16:38:01 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg': 917849322}
map_photo_id_path_extension : {917849322: {'path': 'temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step_rotate !
We are in a linear step without datou_depend !
rotate photos of 90,180,270 degres
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 917849322) and `type` in (0) 
Loaded 0 chid ids of type : 0
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in ()
 map_chi : {}
 photo_id in download_rotate_and_save : 917849322 list_chi_loc : 0
Use all angle !
Rotation of photo 917849322 of 90 degree
temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg [] 90
 remove_crop_border : False
version de PIL : 9.5.0
Needs to change image size !
[[ 6.123234e-17  1.000000e+00]
 [-1.000000e+00  6.123234e-17]]
90
[[ 6.123234e-17  1.000000e+00]
 [-1.000000e+00  6.123234e-17]]
 shrink_image : False
 image_rotate :  <PIL.Image.Image image mode=RGB size=2448x3264 at 0x7F2DD0BB3F10>
 image_path : temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg
 path_name_rotate : temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c454890.jpg
 image_rotate.mode : RGB
Rotation of photo 917849322 of 180 degree
temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg [] 180
 remove_crop_border : False
version de PIL : 9.5.0
Needs to change image size !
[[-1.0000000e+00  1.2246468e-16]
 [-1.2246468e-16 -1.0000000e+00]]
180
[[-1.0000000e+00  1.2246468e-16]
 [-1.2246468e-16 -1.0000000e+00]]
 shrink_image : False
 image_rotate :  <PIL.Image.Image image mode=RGB size=3264x2448 at 0x7F2DD0BB3F10>
 image_path : temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg
 path_name_rotate : temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548180.jpg
 image_rotate.mode : RGB
Rotation of photo 917849322 of 270 degree
temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg [] 270
 remove_crop_border : False
version de PIL : 9.5.0
Needs to change image size !
[[-1.8369702e-16 -1.0000000e+00]
 [ 1.0000000e+00 -1.8369702e-16]]
270
[[-1.8369702e-16 -1.0000000e+00]
 [ 1.0000000e+00 -1.8369702e-16]]
 shrink_image : False
 image_rotate :  <PIL.Image.Image image mode=RGB size=2448x3264 at 0x7F2DD0BB3F10>
 image_path : temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg
 path_name_rotate : temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548270.jpg
 image_rotate.mode : RGB

About to upload 3 photos
upload in portfolio : 551782
init cache_photo without model_param  
we have 3 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1740584282_3116993
we have uploaded 3 photos in the portfolio 551782

time of upload the photos Elapsed time : 1.056053638458252

 map_filename_photo_id : 3
 map_filename_photo_id : {'temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c454890.jpg': 1339751170, 'temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548180.jpg': 1339751171, 'temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548270.jpg': 1339751172}
Len new_chis : 3
Len list_new_chi_with_photo_id : 0 of type : 0
 list_new_chi_with_photo_id : []

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 1.3107411861419678
time spend to save output : 8.797645568847656e-05
total time spend for step 1 : 1.3108291625976562

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : rotate we use saveGeneral 
[917849322]
 map_info['map_portfolio_photo'] : {}
 final :  True mtd_id 230 list_pids : [917849322]
Looping around the photos to save general results
len do output : 3
/1339751170Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751171Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751172Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2f68df6cd0>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2b17ec3580>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2b17ec3640>
Managing all output in save final without adding information in the mtr_datou_result 
('230', None, None, None, None, None, None, None, None)
('230', None, '917849322', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 10
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('230', None, '1339751170', 'None', None, None, None, None, None), ('230', None, '1339751171', 'None', None, None, None, None, None), ('230', None, '1339751172', 'None', None, None, None, None, None), ('230', None, '917849322', None, None, None, None, None, None)]
time used for this insertion : 0.012845993041992188
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {1339751170: ['917849322', 'temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c454890.jpg', []], 1339751171: ['917849322', 'temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548180.jpg', []], 1339751172: ['917849322', 'temp/1740584281_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548270.jpg', []]}
test rotate only is a success !
test rotate conditionnel
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=233

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=233
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 233
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=233
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : thcl, argmax, rotate
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (917849322) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 917849322
download finish for photo 917849322
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.21562838554382324
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  3
step1:thcl
Wed Feb 26 16:38:03 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg': 917849322}
map_photo_id_path_extension : {917849322: {'path': 'temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step Thcl !
multi_thcl or not :False
multi_thcl_cond or not :False
dic_thcl :  {'500': 1}
we are using the classfication for only one thcl
500


In convert_file_to_np l 337 : 1
 l343 1
l357 after caffe.io.load_image
dimension du image : (3, (2448, 3264, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.0002129077911376953
time to convert the images to numpy array :  1.7933390140533447
total time to convert the images to numpy array :  1.7938344478607178
list photo_ids error:
[]
list photo_ids correct :
[917849322]
number of photos to traite : 1
try to delete the photos incorrect in DB

tagging for thcl : 500
To do loadFromThcl(), then load ParamDescType : thcl500
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (500) 
 thcls : [{'id': 500, 'mtr_user_id': 31, 'name': 'orientation_carte_grise_all_2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'carteGrisesVerticales__port_549774,cartegrise_90deg__port_550987,cartesGrisesEnvers__port_549765,portfolio_270deg__port_550988', 'svm_portfolios_learning': '549774,550987,549765,550988', 'photo_hashtag_type': 507, 'photo_desc_type': 3517, 'type_classification': 'caffe', 'hashtag_id_list': '0,0,0,0'}]
 thcl {'id': 500, 'mtr_user_id': 31, 'name': 'orientation_carte_grise_all_2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'carteGrisesVerticales__port_549774,cartegrise_90deg__port_550987,cartesGrisesEnvers__port_549765,portfolio_270deg__port_550988', 'svm_portfolios_learning': '549774,550987,549765,550988', 'photo_hashtag_type': 507, 'photo_desc_type': 3517, 'type_classification': 'caffe', 'hashtag_id_list': '0,0,0,0'}
 Update svm_hashtag_type_desc : 3517
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (3517)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3517, 'orientation_carte_grise_all_2', 16384, 25088, 'orientation_carte_grise_all_2', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 4, 18, 20, 4, 34), datetime.datetime(2018, 4, 18, 20, 4, 34))
To loadFromThcl() : net_3517
begin to check gpu status 
inside check gpu memory
l 3637 free memory gpu now : 2745  max_wait_temp :  1 max_wait :  0
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (3517)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3517, 'orientation_carte_grise_all_2', 16384, 25088, 'orientation_carte_grise_all_2', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 4, 18, 20, 4, 34), datetime.datetime(2018, 4, 18, 20, 4, 34))
 param : <mtr.database_queries.descriptor_queries.ParamDescriptorType object at 0x7f2d40723d00>, param.caffemodel : orientation_carte_grise_all_2
None
 mean_file_type : 
 mean_file_path : 
 prototxt_file_path : 
 model : orientation_carte_grise_all_2
 Inside get_net  
 Inside get_net before cache_data_model 
model_param file didn't exist 
 Inside get_net before  CDM.load_model_par_type  
model_name : orientation_carte_grise_all_2
model_type : caffe
list file need :
['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file exist in s3 :
['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file manque in s3 : 
[]
local folder  : /data/models_weight/orientation_carte_grise_all_2


/data/models_weight/orientation_carte_grise_all_2/caffemodel
size_local : 537110520 size in s3 : 537110520
create time local : 2021-08-09 05:29:00 create time in s3 : 2021-08-06 20:07:17
caffemodel already exist and didn't need to update


/data/models_weight/orientation_carte_grise_all_2/deploy_conv_normal.prototxt
size_local : 4626 size in s3 : 4626
create time local : 2021-08-09 05:29:00 create time in s3 : 2021-08-06 20:07:16
deploy_conv_normal.prototxt already exist and didn't need to update


/data/models_weight/orientation_carte_grise_all_2/deploy_fc.prototxt
size_local : 1130 size in s3 : 1130
create time local : 2021-08-09 05:29:00 create time in s3 : 2021-08-06 20:07:16
deploy_fc.prototxt already exist and didn't need to update


/data/models_weight/orientation_carte_grise_all_2/deploy.prototxt
size_local : 5653 size in s3 : 5653
create time local : 2021-08-09 05:29:00 create time in s3 : 2021-08-06 20:07:16
deploy.prototxt already exist and didn't need to update


/data/models_weight/orientation_carte_grise_all_2/mean.npy
size_local : 1572992 size in s3 : 1572992
create time local : 2021-08-09 05:29:00 create time in s3 : 2021-08-06 20:07:31
mean.npy already exist and didn't need to update


/data/models_weight/orientation_carte_grise_all_2/synset_words.txt
size_local : 159 size in s3 : 159
create time local : 2021-08-09 05:29:00 create time in s3 : 2021-08-06 20:07:16
synset_words.txt already exist and didn't need to update
 Inside get_net after CDM.load_model_par_type  
  After if not only_with_local_cache:
/home/admin/workarea/install/caffe_cuda8_python3/python/:/home/admin/workarea/install/darknet/:/home/admin/workarea/git/Velours/python:/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python:/home/admin/mtr/.credentials:/home/admin/workarea/install/caffe/python:/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools/:/home/admin/workarea/git/fotonowerpip/:/home/admin/workarea/install/segment-anything:/home/admin//workarea/git/pyfvs/
Here before set mode gpu
Doing nothing but we could set mode gpu
after set mode gpu
 prototxt_filename : /data/models_weight/orientation_carte_grise_all_2/deploy.prototxt
 caffemodel_filename : /data/models_weight/orientation_carte_grise_all_2/caffemodel
now we set caffe to gpu mode


 before predict
begin to check gpu status 
inside check gpu memory
l 3637 free memory gpu now : 2723  max_wait_temp :  1 max_wait :  0
dict_keys(['pool5', 'prob'])
time used to do the prepocess of the images : 4.583652019500732
time used to do the prediction : 0.1391620635986328


save descriptor for thcl : 500
(1, 512, 7, 7)
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
code_as_byte_string:b'0000000000'|
time to traite the descriptors :  0.049277305603027344
Testing : ['917849322']
 In select_photos_meta_from_ids: 
        SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text
        FROM MTRBack.photos
        WHERE photo_id IN (917849322) 
result : {917849322: {'photo_id': 917849322, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/9/13/2bd260e91e91df8378dde8bb8b8c4548.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_13092022_12_32_19_5566.jpg'}}
list_photo_exists : [917849322]
storage_type for insertDescriptorsMulti : 1
To insert : 917849322
time to insert the descriptors : 0.6382017135620117






After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 12.375253438949585
time spend to save output : 5.2928924560546875e-05
total time spend for step 1 : 12.375306367874146

step2:argmax
Wed Feb 26 16:38:16 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {'917849322': [[('917849322', 'carteGrisesVerticales__port_549774', 0.99764484, 507, '500'), ('917849322', 'cartegrise_90deg__port_550987', 0.0005046963, 507, '500'), ('917849322', 'cartesGrisesEnvers__port_549765', 0.00036694176, 507, '500'), ('917849322', 'portfolio_270deg__port_550988', 0.0014835201, 507, '500')]]}
 input_args_next_step : {'917849322': ()}
 output_args : {'917849322': [[('917849322', 'carteGrisesVerticales__port_549774', 0.99764484, 507, '500'), ('917849322', 'cartegrise_90deg__port_550987', 0.0005046963, 507, '500'), ('917849322', 'cartesGrisesEnvers__port_549765', 0.00036694176, 507, '500'), ('917849322', 'portfolio_270deg__port_550988', 0.0014835201, 507, '500')]]}
 args : 917849322
 depend.output_id : 0
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :1, first value : ([('917849322', 'carteGrisesVerticales__port_549774', 0.99764484, 507, '500'), ('917849322', 'cartegrise_90deg__port_550987', 0.0005046963, 507, '500'), ('917849322', 'cartesGrisesEnvers__port_549765', 0.00036694176, 507, '500'), ('917849322', 'portfolio_270deg__port_550988', 0.0014835201, 507, '500')],)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg': 917849322}
map_photo_id_path_extension : {917849322: {'path': 'temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step Argmax !
calculate argmax for thcl : 500

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.000209808349609375
time spend to save output : 4.1484832763671875e-05
total time spend for step 2 : 0.0002512931823730469

step3:rotate
Wed Feb 26 16:38:16 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {'917849322': [('917849322', 'carteGrisesVerticales__port_549774', 0.99764484, 507, '500'), 'temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg']}
 input_args_next_step : {'917849322': ()}
 output_args : {'917849322': [('917849322', 'carteGrisesVerticales__port_549774', 0.99764484, 507, '500'), 'temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg']}
 args : 917849322
 depend.output_id : 1
complete output_args for input 1 : {'917849322': [('917849322', 'carteGrisesVerticales__port_549774', 0.99764484, 507, '500'), 'temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg']}
 input_args_next_step : {'917849322': ('temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg',)}
 output_args : {'917849322': [('917849322', 'carteGrisesVerticales__port_549774', 0.99764484, 507, '500'), 'temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg']}
 args : 917849322
 depend.output_id : 0
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :1, first value : ('temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg', ('917849322', 'carteGrisesVerticales__port_549774', 0.99764484, 507, '500'))
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg': 917849322}
map_photo_id_path_extension : {917849322: {'path': 'temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step_rotate !
We are in a datou with depends !
angle_condi : {'carteGrisesVerticales__port_549774': 0, 'cartegrise_90deg__port_550987': 270, 'portfolio_270deg__port_550988': 90, 'cartesGrisesEnvers__port_549765': 180}

rotate photos for hashtag carteGrisesVerticales__port_549774 of 0 degres
1 photos founded : [917849322]
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 917849322) and `type` in (0) 
Loaded 0 chid ids of type : 0
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in ()
 map_chi : {}
 photo_id in download_rotate_and_save : 917849322 list_chi_loc : 0
Use all angle !
Rotation of photo 917849322 of 0 degree
temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg [] 0
 remove_crop_border : False
version de PIL : 9.5.0
Needs to change image size !
[[ 1.  0.]
 [-0.  1.]]
0
[[ 1.  0.]
 [-0.  1.]]
 shrink_image : False
 image_rotate :  <PIL.Image.Image image mode=RGB size=3264x2448 at 0x7F2F68DF6CD0>
 image_path : temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg
 path_name_rotate : temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c45480.jpg
 image_rotate.mode : RGB

About to upload 1 photos
upload in portfolio : 551782
init cache_photo without model_param  
we have 1 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1740584296_3116993
we have uploaded 1 photos in the portfolio 551782

time of upload the photos Elapsed time : 0.6029293537139893

 map_filename_photo_id : 1
 map_filename_photo_id : {'temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c45480.jpg': 1339751191}
Len new_chis : 1
Len list_new_chi_with_photo_id : 0 of type : 0
 list_new_chi_with_photo_id : []

rotate photos for hashtag cartegrise_90deg__port_550987 of 270 degres
0 photos founded : []

rotate photos for hashtag portfolio_270deg__port_550988 of 90 degres
0 photos founded : []

rotate photos for hashtag cartesGrisesEnvers__port_549765 of 180 degres
0 photos founded : []

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.6857056617736816
time spend to save output : 3.4809112548828125e-05
total time spend for step 3 : 0.6857404708862305

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : rotate we use saveGeneral 
[917849322]
 map_info['map_portfolio_photo'] : {}
 final :  True mtd_id 233 list_pids : [917849322]
Looping around the photos to save general results
len do output : 1
/1339751191Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2cac0b7b50>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bed02ebb0>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bed02e8e0>
Managing all output in save final without adding information in the mtr_datou_result 
('233', None, None, None, None, None, None, None, None)
('233', None, '917849322', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 4
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('233', None, '1339751191', 'None', None, None, None, None, None), ('233', None, '917849322', None, None, None, None, None, None)]
time used for this insertion : 0.012622594833374023
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 3
 output : {1339751191: ['917849322', 'temp/1740584283_3116993_917849322_2bd260e91e91df8378dde8bb8b8c45480.jpg', []]}

############################### TEST data_augmentation_ellipse_varroa_tile_rotate  ################################
SELECT id FROM MTRPhoto.crop_hashtag_ids WHERE photo_id=937852786 AND `type`=520
DELETE FROM MTRPhoto.crop_hashtag_ids WHERE id IN (3687379321,3687379326,3687379327,3687379353) 
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 316 crop is not linked in the step_by_step architecture !
Step 318 rotate have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 318 rotate have less outputs used (0) than in the step definition (3) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
Unexpected type seems boolean for variable list_input_json
ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0)
 Tried to parse : 
DATA AUGMENTATION ELLIPSE VARROA TILE ROTATE
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=243

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=243
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 243
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=243
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 316 crop is not linked in the step_by_step architecture !
Step 318 rotate have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 318 rotate have less outputs used (0) than in the step definition (3) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : crop, tile, rotate
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (937852786) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 937852786
download finish for photo 937852786
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.21805119514465332
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  3
step1:crop
Wed Feb 26 16:38:17 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg': 937852786}
map_photo_id_path_extension : {937852786: {'path': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step Crop !
param_json : {'hashtag_id_ellipse': 2087736828, 'photo_hashtag_type_from_ellipse': 520, 'token': '78d09a0790ec6ecbf119343125a81fdc', 'portfolio_name': 'crop_detect_varroa', 'photo_hashtag_type': 407, 'feed_id_new_photos_not_used': 549103, 'host': 'www.fotonower.com', 'margin': 8, 'upload_type': 'python'}
margin_type : margin
margin_value : [8, 8, 8, 8]


Loading chi in step crop with photo_hashtag_type : 407
Loading chi in step crop for list_pids : 1 !
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 937852786) and `type` in (407) 
Loaded 4 chid ids of type : 407
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (8165075,8165076,8165077,8165078)
+WARNING : Unexpected points, we should remove this data for chi_id : 8165075, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 8165076, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 8165077, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 8165078, for now we just ignore these empty polygon points 
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (8165075,8165076,8165077,8165078)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (8165075,8165076,8165077,8165078)
select photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type, id from MTRPhoto.photo_sub_photos  where photo_id in ( 937852786) 
WARNING : margin is only used for type bib !

type of cropped photo chosen : <class 'type'>
we resize croppped photo by 1 on x axis and by 1 on y axis
 new_file_path_bib_crop : temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0.jpg
 new_file_path_bib_crop : temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0.jpg
 new_file_path_bib_crop : temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0.jpg
 new_file_path_bib_crop : temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0.jpg
 map_result returned by crop_photo_return_map_crop : length : 4
map_result after crop : {8165075: {'crop': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0.jpg', 'photo_id': 937852786, 'sub_photo_id': -1, 'coordonates': (426, 467, 312, 347), 'sub_photo_infos': (418, 475, 304, 355, 1, 1), 'same_chi': False}, 8165076: {'crop': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0.jpg', 'photo_id': 937852786, 'sub_photo_id': -1, 'coordonates': (411, 445, 443, 480), 'sub_photo_infos': (403, 453, 435, 480, 1, 1), 'same_chi': False}, 8165077: {'crop': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0.jpg', 'photo_id': 937852786, 'sub_photo_id': -1, 'coordonates': (103, 138, 358, 396), 'sub_photo_infos': (95, 146, 350, 404, 1, 1), 'same_chi': False}, 8165078: {'crop': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0.jpg', 'photo_id': 937852786, 'sub_photo_id': -1, 'coordonates': (104, 131, 256, 292), 'sub_photo_infos': (96, 139, 248, 300, 1, 1), 'same_chi': False}}
Here we crop with rles
 About to insert : list_path_to_insert length 4 new photo from crops !

About to upload 4 photos
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=crop_detect_varroa&access_token=78d09a0790ec6ecbf119343125a81fdc
upload in portfolio : 20846797
init cache_photo without model_param  
we have 4 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1740584299_3116993
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `mtr_user_id`, `created_at`)
                  VALUES (20846797, 1339751193, 0, NOW()),(20846797, 1339751194, 0, NOW()),(20846797, 1339751195, 0, NOW()),(20846797, 1339751196, 0, NOW())
4
we have uploaded 4 photos in the portfolio 20846797

time of upload the photos Elapsed time : 3.2166965007781982

{'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0.jpg': 1339751193, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0.jpg': 1339751194, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0.jpg': 1339751195, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0.jpg': 1339751196}
list_errors : []
map_result_insert : {'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0.jpg': 1339751193, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0.jpg': 1339751194, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0.jpg': 1339751195, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0.jpg': 1339751196}
Now we prepare data that will be used for ellipse search !
 chi_id found to be used  8165075
 path of cropped varroa found to be used to match on an ellipse temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0.jpg
 sub_photo_id found to be used  1339751193
 chi_id found to be used  8165076
 path of cropped varroa found to be used to match on an ellipse temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0.jpg
 sub_photo_id found to be used  1339751194
 chi_id found to be used  8165077
 path of cropped varroa found to be used to match on an ellipse temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0.jpg
 sub_photo_id found to be used  1339751195
 chi_id found to be used  8165078
 path of cropped varroa found to be used to match on an ellipse temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0.jpg
 sub_photo_id found to be used  1339751196
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : [(8165075, '1339751193', 31), (8165076, '1339751194', 31), (8165077, '1339751195', 31), (8165078, '1339751196', 31)]
map of cropped photos with some data : 
{'1339751193': ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0.jpg', (426, 467, 312, 347)], '1339751194': ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0.jpg', (411, 445, 443, 480)], '1339751195': ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0.jpg', (103, 138, 358, 396)], '1339751196': ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0.jpg', (104, 131, 256, 292)]}
About to compute ellipse and record with type : 520
(54, 57)
(51, 57)
[54, 57]
(54, 57)
score : 5120
 strategy_opt : 5|  strategy_opt : [('excentricity', [0.5, 2.0, 0.05]), ('angle', [-90.0, 90.0, 5.0]), ('xc', [14.25, 42.75, 1.78125]), ('yc', [12.75, 38.25, 1.59375]), ('radius', [14.25, 42.75, 1.78125])]
{0.5: 18351, 0.55: 16004, 0.6000000000000001: 14127, 0.65: 12575, 0.7000000000000001: 11300, 0.75: 10158, 0.8: 9208, 0.8500000000000001: 8418, 0.9: 7642, 0.9500000000000001: 6925, 1.0: 6364, 1.05: 5843, 1.1: 5353, 1.1500000000000001: 4868, 1.2000000000000002: 4553, 1.25: 4250, 1.3: 3947, 1.35: 3698, 1.4000000000000001: 3438, 1.4500000000000002: 3230, 1.5: 3012, 1.55: 2829, 1.6: 2636, 1.6500000000000001: 2535, 1.7000000000000002: 2460, 1.75: 2388, 1.8: 2372, 1.85: 2354, 1.9000000000000001: 2332, 1.9500000000000002: 2311}
[(1.9500000000000002, 2311), (1.9000000000000001, 2332), (1.85, 2354), (1.8, 2372), (1.75, 2388), (1.7000000000000002, 2460), (1.6500000000000001, 2535), (1.6, 2636), (1.55, 2829), (1.5, 3012), (1.4500000000000002, 3230), (1.4000000000000001, 3438), (1.35, 3698), (1.3, 3947), (1.25, 4250), (1.2000000000000002, 4553), (1.1500000000000001, 4868), (1.1, 5353), (1.05, 5843), (1.0, 6364), (0.9500000000000001, 6925), (0.9, 7642), (0.8500000000000001, 8418), (0.8, 9208), (0.75, 10158), (0.7000000000000001, 11300), (0.65, 12575), (0.6000000000000001, 14127), (0.55, 16004), (0.5, 18351)]
 arg_min reach at : 1.9500000000000002 with value = 2311
 | arg_min : 1.9500000000000002 min_score : 2311{-90.0: 3359, -85.0: 3372, -80.0: 3395, -75.0: 3380, -70.0: 3304, -65.0: 3180, -60.0: 2991, -55.0: 2793, -50.0: 2601, -45.0: 2377, -40.0: 2183, -35.0: 2078, -30.0: 1968, -25.0: 1968, -20.0: 2021, -15.0: 2036, -10.0: 2102, -5.0: 2188, 0.0: 2208, 5.0: 2265, 10.0: 2311, 15.0: 2333, 20.0: 2362, 25.0: 2375, 30.0: 2375, 35.0: 2397, 40.0: 2370, 45.0: 2421, 50.0: 2491, 55.0: 2661, 60.0: 2826, 65.0: 2993, 70.0: 3106, 75.0: 3182, 80.0: 3263, 85.0: 3306}
[(-30.0, 1968), (-25.0, 1968), (-20.0, 2021), (-15.0, 2036), (-35.0, 2078), (-10.0, 2102), (-40.0, 2183), (-5.0, 2188), (0.0, 2208), (5.0, 2265), (10.0, 2311), (15.0, 2333), (20.0, 2362), (40.0, 2370), (25.0, 2375), (30.0, 2375), (-45.0, 2377), (35.0, 2397), (45.0, 2421), (50.0, 2491), (-50.0, 2601), (55.0, 2661), (-55.0, 2793), (60.0, 2826), (-60.0, 2991), (65.0, 2993), (70.0, 3106), (-65.0, 3180), (75.0, 3182), (80.0, 3263), (-70.0, 3304), (85.0, 3306), (-90.0, 3359), (-85.0, 3372), (-75.0, 3380), (-80.0, 3395)]
 arg_min reach at : -30.0 with value = 1968
 | arg_min : -30.0 min_score : 1968{14.25: 1703, 16.03125: 1654, 17.8125: 1614, 19.59375: 1679, 21.375: 1702, 23.15625: 1712, 24.9375: 1730, 26.71875: 1847, 28.5: 1968, 30.28125: 2177, 32.0625: 2456, 33.84375: 2827, 35.625: 3294, 37.40625: 3723, 39.1875: 4161, 40.96875: 4643}
[(17.8125, 1614), (16.03125, 1654), (19.59375, 1679), (21.375, 1702), (14.25, 1703), (23.15625, 1712), (24.9375, 1730), (26.71875, 1847), (28.5, 1968), (30.28125, 2177), (32.0625, 2456), (33.84375, 2827), (35.625, 3294), (37.40625, 3723), (39.1875, 4161), (40.96875, 4643)]
 arg_min reach at : 17.8125 with value = 1614
 | arg_min : 17.8125 min_score : 1614{12.75: 5534, 14.34375: 5352, 15.9375: 5116, 17.53125: 4723, 19.125: 4111, 20.71875: 3506, 22.3125: 2799, 23.90625: 2194, 25.5: 1614, 27.09375: 1339, 28.6875: 1206, 30.28125: 1137, 31.875: 1105, 33.46875: 1339, 35.0625: 1659, 36.65625: 2022}
[(31.875, 1105), (30.28125, 1137), (28.6875, 1206), (27.09375, 1339), (33.46875, 1339), (25.5, 1614), (35.0625, 1659), (36.65625, 2022), (23.90625, 2194), (22.3125, 2799), (20.71875, 3506), (19.125, 4111), (17.53125, 4723), (15.9375, 5116), (14.34375, 5352), (12.75, 5534)]
 arg_min reach at : 31.875 with value = 1105
 | arg_min : 31.875 min_score : 1105{14.25: 1942, 16.03125: 1853, 17.8125: 1756, 19.59375: 1651, 21.375: 1533, 23.15625: 1424, 24.9375: 1309, 26.71875: 1199, 28.5: 1105, 30.28125: 1219, 32.0625: 1332, 33.84375: 1547, 35.625: 1881, 37.40625: 2378, 39.1875: 3042, 40.96875: 3824}
[(28.5, 1105), (26.71875, 1199), (30.28125, 1219), (24.9375, 1309), (32.0625, 1332), (23.15625, 1424), (21.375, 1533), (33.84375, 1547), (19.59375, 1651), (17.8125, 1756), (16.03125, 1853), (35.625, 1881), (14.25, 1942), (37.40625, 2378), (39.1875, 3042), (40.96875, 3824)]
 arg_min reach at : 28.5 with value = 1105
 | arg_min : 28.5 min_score : 1105{0.5: 17397, 0.55: 15138, 0.6000000000000001: 13352, 0.65: 11859, 0.7000000000000001: 10523, 0.75: 9463, 0.8: 8469, 0.8500000000000001: 7565, 0.9: 6551, 0.9500000000000001: 5592, 1.0: 4856, 1.05: 4291, 1.1: 3654, 1.1500000000000001: 3099, 1.2000000000000002: 2647, 1.25: 2309, 1.3: 1983, 1.35: 1755, 1.4000000000000001: 1594, 1.4500000000000002: 1447, 1.5: 1358, 1.55: 1323, 1.6: 1219, 1.6500000000000001: 1215, 1.7000000000000002: 1201, 1.75: 1131, 1.8: 1134, 1.85: 1142, 1.9000000000000001: 1137, 1.9500000000000002: 1105}
[(1.9500000000000002, 1105), (1.75, 1131), (1.8, 1134), (1.9000000000000001, 1137), (1.85, 1142), (1.7000000000000002, 1201), (1.6500000000000001, 1215), (1.6, 1219), (1.55, 1323), (1.5, 1358), (1.4500000000000002, 1447), (1.4000000000000001, 1594), (1.35, 1755), (1.3, 1983), (1.25, 2309), (1.2000000000000002, 2647), (1.1500000000000001, 3099), (1.1, 3654), (1.05, 4291), (1.0, 4856), (0.9500000000000001, 5592), (0.9, 6551), (0.8500000000000001, 7565), (0.8, 8469), (0.75, 9463), (0.7000000000000001, 10523), (0.65, 11859), (0.6000000000000001, 13352), (0.55, 15138), (0.5, 17397)]
 arg_min reach at : 1.9500000000000002 with value = 1105
 arg_min : 1.9500000000000002 min_score : 1105{-90.0: 3514, -85.0: 3396, -80.0: 3238, -75.0: 3017, -70.0: 2764, -65.0: 2549, -60.0: 2339, -55.0: 2105, -50.0: 1912, -45.0: 1701, -40.0: 1467, -35.0: 1266, -30.0: 1105, -25.0: 1110, -20.0: 1114, -15.0: 1111, -10.0: 1110, -5.0: 1121, 0.0: 1120, 5.0: 1118, 10.0: 1109, 15.0: 1109, 20.0: 1099, 25.0: 1088, 30.0: 1108, 35.0: 1355, 40.0: 1649, 45.0: 1925, 50.0: 2257, 55.0: 2542, 60.0: 2845, 65.0: 3137, 70.0: 3370, 75.0: 3500, 80.0: 3578, 85.0: 3540}
[(25.0, 1088), (20.0, 1099), (-30.0, 1105), (30.0, 1108), (10.0, 1109), (15.0, 1109), (-25.0, 1110), (-10.0, 1110), (-15.0, 1111), (-20.0, 1114), (5.0, 1118), (0.0, 1120), (-5.0, 1121), (-35.0, 1266), (35.0, 1355), (-40.0, 1467), (40.0, 1649), (-45.0, 1701), (-50.0, 1912), (45.0, 1925), (-55.0, 2105), (50.0, 2257), (-60.0, 2339), (55.0, 2542), (-65.0, 2549), (-70.0, 2764), (60.0, 2845), (-75.0, 3017), (65.0, 3137), (-80.0, 3238), (70.0, 3370), (-85.0, 3396), (75.0, 3500), (-90.0, 3514), (85.0, 3540), (80.0, 3578)]
 arg_min reach at : 25.0 with value = 1088
 arg_min : 25.0 min_score : 1088{14.25: 1174, 16.03125: 1133, 17.8125: 1088, 19.59375: 1051, 21.375: 1026, 23.15625: 997, 24.9375: 979, 26.71875: 1139, 28.5: 1344, 30.28125: 1564, 32.0625: 1949, 33.84375: 2422, 35.625: 2930, 37.40625: 3453, 39.1875: 4006, 40.96875: 4592}
[(24.9375, 979), (23.15625, 997), (21.375, 1026), (19.59375, 1051), (17.8125, 1088), (16.03125, 1133), (26.71875, 1139), (14.25, 1174), (28.5, 1344), (30.28125, 1564), (32.0625, 1949), (33.84375, 2422), (35.625, 2930), (37.40625, 3453), (39.1875, 4006), (40.96875, 4592)]
 arg_min reach at : 24.9375 with value = 979
 arg_min : 24.9375 min_score : 979{12.75: 5539, 14.34375: 5239, 15.9375: 4911, 17.53125: 4425, 19.125: 3749, 20.71875: 3181, 22.3125: 2575, 23.90625: 2124, 25.5: 1808, 27.09375: 1478, 28.6875: 1290, 30.28125: 1104, 31.875: 979, 33.46875: 1070, 35.0625: 1368, 36.65625: 1872}
[(31.875, 979), (33.46875, 1070), (30.28125, 1104), (28.6875, 1290), (35.0625, 1368), (27.09375, 1478), (25.5, 1808), (36.65625, 1872), (23.90625, 2124), (22.3125, 2575), (20.71875, 3181), (19.125, 3749), (17.53125, 4425), (15.9375, 4911), (14.34375, 5239), (12.75, 5539)]
 arg_min reach at : 31.875 with value = 979
 arg_min : 31.875 min_score : 979{14.25: 1939, 16.03125: 1852, 17.8125: 1755, 19.59375: 1643, 21.375: 1531, 23.15625: 1397, 24.9375: 1264, 26.71875: 1119, 28.5: 979, 30.28125: 1023, 32.0625: 1319, 33.84375: 1771, 35.625: 2432, 37.40625: 3324, 39.1875: 4299, 40.96875: 5405}
[(28.5, 979), (30.28125, 1023), (26.71875, 1119), (24.9375, 1264), (32.0625, 1319), (23.15625, 1397), (21.375, 1531), (19.59375, 1643), (17.8125, 1755), (33.84375, 1771), (16.03125, 1852), (14.25, 1939), (35.625, 2432), (37.40625, 3324), (39.1875, 4299), (40.96875, 5405)]
 arg_min reach at : 28.5 with value = 979
 arg_min : 28.5 min_score : 979 yc : 31.875 xc : 24.9375 angle : 25.0 radius : 28.5 excentricity : 1.9500000000000002
 yc : 31.875 xc : 24.9375 angle : 25.0 radius : 28.5 excentricity : 1.9500000000000002
 x0 : 426 y1 : 347 width : 41, height : 35, area : 1435, score : 1.0
 x0 : 432 y1 : 355 width : 35, height : 52, area : 1820, score : 1.0
 Now saving polygons points : 1| batch 1
Loaded 1 chid ids of type : 520
 CHI and polygons saved !
(47, 50)
(45, 50)
[47, 50]
(47, 50)
score : 5362
 strategy_opt : 5|  strategy_opt : [('excentricity', [0.5, 2.0, 0.05]), ('angle', [-90.0, 90.0, 5.0]), ('xc', [12.5, 37.5, 1.5625]), ('yc', [11.25, 33.75, 1.40625]), ('radius', [12.5, 37.5, 1.5625])]
{0.5: 15776, 0.55: 13889, 0.6000000000000001: 12446, 0.65: 11147, 0.7000000000000001: 10181, 0.75: 9228, 0.8: 8441, 0.8500000000000001: 7765, 0.9: 7258, 0.9500000000000001: 6684, 1.0: 6195, 1.05: 5920, 1.1: 5487, 1.1500000000000001: 5099, 1.2000000000000002: 4795, 1.25: 4511, 1.3: 4245, 1.35: 4042, 1.4000000000000001: 3828, 1.4500000000000002: 3629, 1.5: 3467, 1.55: 3235, 1.6: 3126, 1.6500000000000001: 2946, 1.7000000000000002: 2826, 1.75: 2700, 1.8: 2549, 1.85: 2472, 1.9000000000000001: 2381, 1.9500000000000002: 2281}
[(1.9500000000000002, 2281), (1.9000000000000001, 2381), (1.85, 2472), (1.8, 2549), (1.75, 2700), (1.7000000000000002, 2826), (1.6500000000000001, 2946), (1.6, 3126), (1.55, 3235), (1.5, 3467), (1.4500000000000002, 3629), (1.4000000000000001, 3828), (1.35, 4042), (1.3, 4245), (1.25, 4511), (1.2000000000000002, 4795), (1.1500000000000001, 5099), (1.1, 5487), (1.05, 5920), (1.0, 6195), (0.9500000000000001, 6684), (0.9, 7258), (0.8500000000000001, 7765), (0.8, 8441), (0.75, 9228), (0.7000000000000001, 10181), (0.65, 11147), (0.6000000000000001, 12446), (0.55, 13889), (0.5, 15776)]
 arg_min reach at : 1.9500000000000002 with value = 2281
 | arg_min : 1.9500000000000002 min_score : 2281{-90.0: 3295, -85.0: 3240, -80.0: 3290, -75.0: 3269, -70.0: 3287, -65.0: 3223, -60.0: 3095, -55.0: 3043, -50.0: 2985, -45.0: 2906, -40.0: 2796, -35.0: 2724, -30.0: 2625, -25.0: 2489, -20.0: 2330, -15.0: 2220, -10.0: 2127, -5.0: 2127, 0.0: 2143, 5.0: 2182, 10.0: 2281, 15.0: 2385, 20.0: 2506, 25.0: 2665, 30.0: 2768, 35.0: 2900, 40.0: 2939, 45.0: 2994, 50.0: 3007, 55.0: 3076, 60.0: 3095, 65.0: 3201, 70.0: 3243, 75.0: 3247, 80.0: 3279, 85.0: 3240}
[(-10.0, 2127), (-5.0, 2127), (0.0, 2143), (5.0, 2182), (-15.0, 2220), (10.0, 2281), (-20.0, 2330), (15.0, 2385), (-25.0, 2489), (20.0, 2506), (-30.0, 2625), (25.0, 2665), (-35.0, 2724), (30.0, 2768), (-40.0, 2796), (35.0, 2900), (-45.0, 2906), (40.0, 2939), (-50.0, 2985), (45.0, 2994), (50.0, 3007), (-55.0, 3043), (55.0, 3076), (-60.0, 3095), (60.0, 3095), (65.0, 3201), (-65.0, 3223), (-85.0, 3240), (85.0, 3240), (70.0, 3243), (75.0, 3247), (-75.0, 3269), (80.0, 3279), (-70.0, 3287), (-80.0, 3290), (-90.0, 3295)]
 arg_min reach at : -10.0 with value = 2127
 | arg_min : -10.0 min_score : 2127{12.5: 2171, 14.0625: 2288, 15.625: 2314, 17.1875: 2360, 18.75: 2347, 20.3125: 2300, 21.875: 2249, 23.4375: 2188, 25.0: 2127, 26.5625: 2163, 28.125: 2315, 29.6875: 2476, 31.25: 2756, 32.8125: 2992, 34.375: 3319, 35.9375: 3672}
[(25.0, 2127), (26.5625, 2163), (12.5, 2171), (23.4375, 2188), (21.875, 2249), (14.0625, 2288), (20.3125, 2300), (15.625, 2314), (28.125, 2315), (18.75, 2347), (17.1875, 2360), (29.6875, 2476), (31.25, 2756), (32.8125, 2992), (34.375, 3319), (35.9375, 3672)]
 arg_min reach at : 25.0 with value = 2127
 | arg_min : 25.0 min_score : 2127{11.25: 6815, 12.65625: 6505, 14.0625: 5928, 15.46875: 5326, 16.875: 4772, 18.28125: 4095, 19.6875: 3413, 21.09375: 2728, 22.5: 2127, 23.90625: 1694, 25.3125: 1345, 26.71875: 1048, 28.125: 823, 29.53125: 728, 30.9375: 714, 32.34375: 1027}
[(30.9375, 714), (29.53125, 728), (28.125, 823), (32.34375, 1027), (26.71875, 1048), (25.3125, 1345), (23.90625, 1694), (22.5, 2127), (21.09375, 2728), (19.6875, 3413), (18.28125, 4095), (16.875, 4772), (15.46875, 5326), (14.0625, 5928), (12.65625, 6505), (11.25, 6815)]
 arg_min reach at : 30.9375 with value = 714
 | arg_min : 30.9375 min_score : 714{12.5: 1275, 14.0625: 1207, 15.625: 1132, 17.1875: 1049, 18.75: 966, 20.3125: 866, 21.875: 784, 23.4375: 729, 25.0: 714, 26.5625: 976, 28.125: 1546, 29.6875: 2147, 31.25: 2981, 32.8125: 3767, 34.375: 4761, 35.9375: 5732}
[(25.0, 714), (23.4375, 729), (21.875, 784), (20.3125, 866), (18.75, 966), (26.5625, 976), (17.1875, 1049), (15.625, 1132), (14.0625, 1207), (12.5, 1275), (28.125, 1546), (29.6875, 2147), (31.25, 2981), (32.8125, 3767), (34.375, 4761), (35.9375, 5732)]
 arg_min reach at : 25.0 with value = 714
 | arg_min : 25.0 min_score : 714{0.5: 20107, 0.55: 18155, 0.6000000000000001: 16503, 0.65: 15058, 0.7000000000000001: 13673, 0.75: 12474, 0.8: 11100, 0.8500000000000001: 9667, 0.9: 8374, 0.9500000000000001: 7344, 1.0: 6274, 1.05: 5570, 1.1: 4846, 1.1500000000000001: 4170, 1.2000000000000002: 3623, 1.25: 3211, 1.3: 2832, 1.35: 2475, 1.4000000000000001: 2182, 1.4500000000000002: 1949, 1.5: 1655, 1.55: 1513, 1.6: 1333, 1.6500000000000001: 1182, 1.7000000000000002: 1038, 1.75: 921, 1.8: 841, 1.85: 732, 1.9000000000000001: 733, 1.9500000000000002: 714}
[(1.9500000000000002, 714), (1.85, 732), (1.9000000000000001, 733), (1.8, 841), (1.75, 921), (1.7000000000000002, 1038), (1.6500000000000001, 1182), (1.6, 1333), (1.55, 1513), (1.5, 1655), (1.4500000000000002, 1949), (1.4000000000000001, 2182), (1.35, 2475), (1.3, 2832), (1.25, 3211), (1.2000000000000002, 3623), (1.1500000000000001, 4170), (1.1, 4846), (1.05, 5570), (1.0, 6274), (0.9500000000000001, 7344), (0.9, 8374), (0.8500000000000001, 9667), (0.8, 11100), (0.75, 12474), (0.7000000000000001, 13673), (0.65, 15058), (0.6000000000000001, 16503), (0.55, 18155), (0.5, 20107)]
 arg_min reach at : 1.9500000000000002 with value = 714
 arg_min : 1.9500000000000002 min_score : 714{-90.0: 2866, -85.0: 3006, -80.0: 3063, -75.0: 3168, -70.0: 3193, -65.0: 3193, -60.0: 3149, -55.0: 3022, -50.0: 2885, -45.0: 2656, -40.0: 2413, -35.0: 2119, -30.0: 1819, -25.0: 1500, -20.0: 1171, -15.0: 865, -10.0: 714, -5.0: 668, 0.0: 689, 5.0: 734, 10.0: 824, 15.0: 898, 20.0: 1116, 25.0: 1368, 30.0: 1610, 35.0: 1866, 40.0: 2105, 45.0: 2304, 50.0: 2467, 55.0: 2604, 60.0: 2731, 65.0: 2753, 70.0: 2753, 75.0: 2761, 80.0: 2722, 85.0: 2786}
[(-5.0, 668), (0.0, 689), (-10.0, 714), (5.0, 734), (10.0, 824), (-15.0, 865), (15.0, 898), (20.0, 1116), (-20.0, 1171), (25.0, 1368), (-25.0, 1500), (30.0, 1610), (-30.0, 1819), (35.0, 1866), (40.0, 2105), (-35.0, 2119), (45.0, 2304), (-40.0, 2413), (50.0, 2467), (55.0, 2604), (-45.0, 2656), (80.0, 2722), (60.0, 2731), (65.0, 2753), (70.0, 2753), (75.0, 2761), (85.0, 2786), (-90.0, 2866), (-50.0, 2885), (-85.0, 3006), (-55.0, 3022), (-80.0, 3063), (-60.0, 3149), (-75.0, 3168), (-70.0, 3193), (-65.0, 3193)]
 arg_min reach at : -5.0 with value = 668
 arg_min : -5.0 min_score : 668{12.5: 1164, 14.0625: 1082, 15.625: 1019, 17.1875: 933, 18.75: 866, 20.3125: 765, 21.875: 713, 23.4375: 655, 25.0: 668, 26.5625: 845, 28.125: 1107, 29.6875: 1374, 31.25: 1691, 32.8125: 2036, 34.375: 2375, 35.9375: 2731}
[(23.4375, 655), (25.0, 668), (21.875, 713), (20.3125, 765), (26.5625, 845), (18.75, 866), (17.1875, 933), (15.625, 1019), (14.0625, 1082), (28.125, 1107), (12.5, 1164), (29.6875, 1374), (31.25, 1691), (32.8125, 2036), (34.375, 2375), (35.9375, 2731)]
 arg_min reach at : 23.4375 with value = 655
 arg_min : 23.4375 min_score : 655{11.25: 7209, 12.65625: 6826, 14.0625: 6195, 15.46875: 5638, 16.875: 4941, 18.28125: 4177, 19.6875: 3484, 21.09375: 2750, 22.5: 2183, 23.90625: 1709, 25.3125: 1327, 26.71875: 1008, 28.125: 779, 29.53125: 631, 30.9375: 655, 32.34375: 920}
[(29.53125, 631), (30.9375, 655), (28.125, 779), (32.34375, 920), (26.71875, 1008), (25.3125, 1327), (23.90625, 1709), (22.5, 2183), (21.09375, 2750), (19.6875, 3484), (18.28125, 4177), (16.875, 4941), (15.46875, 5638), (14.0625, 6195), (12.65625, 6826), (11.25, 7209)]
 arg_min reach at : 29.53125 with value = 631
 arg_min : 29.53125 min_score : 631{12.5: 1282, 14.0625: 1211, 15.625: 1130, 17.1875: 1050, 18.75: 960, 20.3125: 871, 21.875: 772, 23.4375: 672, 25.0: 631, 26.5625: 666, 28.125: 947, 29.6875: 1472, 31.25: 2184, 32.8125: 3032, 34.375: 3932, 35.9375: 5005}
[(25.0, 631), (26.5625, 666), (23.4375, 672), (21.875, 772), (20.3125, 871), (28.125, 947), (18.75, 960), (17.1875, 1050), (15.625, 1130), (14.0625, 1211), (12.5, 1282), (29.6875, 1472), (31.25, 2184), (32.8125, 3032), (34.375, 3932), (35.9375, 5005)]
 arg_min reach at : 25.0 with value = 631
 arg_min : 25.0 min_score : 631 yc : 29.53125 xc : 23.4375 angle : -5.0 radius : 25.0 excentricity : 1.9500000000000002
 yc : 29.53125 xc : 23.4375 angle : -5.0 radius : 25.0 excentricity : 1.9500000000000002
 x0 : 411 y1 : 480 width : 34, height : 37, area : 1258, score : 1.0
 x0 : 419 y1 : 483 width : 26, height : 49, area : 1274, score : 1.0
 Now saving polygons points : 1| batch 1
Loaded 2 chid ids of type : 520
+ CHI and polygons saved !
(55, 54)
(54, 51)
[55, 54]
(55, 54)
score : 4603
 strategy_opt : 5|  strategy_opt : [('excentricity', [0.5, 2.0, 0.05]), ('angle', [-90.0, 90.0, 5.0]), ('xc', [12.75, 38.25, 1.59375]), ('yc', [13.5, 40.5, 1.6875]), ('radius', [13.5, 40.5, 1.6875])]
{0.5: 14831, 0.55: 12756, 0.6000000000000001: 10989, 0.65: 9469, 0.7000000000000001: 8158, 0.75: 7251, 0.8: 6254, 0.8500000000000001: 5559, 0.9: 5119, 0.9500000000000001: 4564, 1.0: 4072, 1.05: 3783, 1.1: 3496, 1.1500000000000001: 3342, 1.2000000000000002: 3228, 1.25: 3161, 1.3: 3127, 1.35: 3087, 1.4000000000000001: 3047, 1.4500000000000002: 3050, 1.5: 2990, 1.55: 2992, 1.6: 2992, 1.6500000000000001: 2985, 1.7000000000000002: 2988, 1.75: 2999, 1.8: 2994, 1.85: 2981, 1.9000000000000001: 3002, 1.9500000000000002: 2995}
[(1.85, 2981), (1.6500000000000001, 2985), (1.7000000000000002, 2988), (1.5, 2990), (1.55, 2992), (1.6, 2992), (1.8, 2994), (1.9500000000000002, 2995), (1.75, 2999), (1.9000000000000001, 3002), (1.4000000000000001, 3047), (1.4500000000000002, 3050), (1.35, 3087), (1.3, 3127), (1.25, 3161), (1.2000000000000002, 3228), (1.1500000000000001, 3342), (1.1, 3496), (1.05, 3783), (1.0, 4072), (0.9500000000000001, 4564), (0.9, 5119), (0.8500000000000001, 5559), (0.8, 6254), (0.75, 7251), (0.7000000000000001, 8158), (0.65, 9469), (0.6000000000000001, 10989), (0.55, 12756), (0.5, 14831)]
 arg_min reach at : 1.85 with value = 2981
 | arg_min : 1.85 min_score : 2981{-90.0: 1442, -85.0: 1411, -80.0: 1411, -75.0: 1423, -70.0: 1409, -65.0: 1428, -60.0: 1417, -55.0: 1385, -50.0: 1356, -45.0: 1374, -40.0: 1401, -35.0: 1501, -30.0: 1635, -25.0: 1772, -20.0: 1988, -15.0: 2183, -10.0: 2376, -5.0: 2552, 0.0: 2691, 5.0: 2860, 10.0: 2981, 15.0: 3063, 20.0: 3044, 25.0: 2938, 30.0: 2889, 35.0: 2865, 40.0: 2787, 45.0: 2694, 50.0: 2566, 55.0: 2452, 60.0: 2275, 65.0: 2055, 70.0: 1849, 75.0: 1731, 80.0: 1532, 85.0: 1466}
[(-50.0, 1356), (-45.0, 1374), (-55.0, 1385), (-40.0, 1401), (-70.0, 1409), (-85.0, 1411), (-80.0, 1411), (-60.0, 1417), (-75.0, 1423), (-65.0, 1428), (-90.0, 1442), (85.0, 1466), (-35.0, 1501), (80.0, 1532), (-30.0, 1635), (75.0, 1731), (-25.0, 1772), (70.0, 1849), (-20.0, 1988), (65.0, 2055), (-15.0, 2183), (60.0, 2275), (-10.0, 2376), (55.0, 2452), (-5.0, 2552), (50.0, 2566), (0.0, 2691), (45.0, 2694), (40.0, 2787), (5.0, 2860), (35.0, 2865), (30.0, 2889), (25.0, 2938), (10.0, 2981), (20.0, 3044), (15.0, 3063)]
 arg_min reach at : -50.0 with value = 1356
 | arg_min : -50.0 min_score : 1356{12.75: 3483, 14.34375: 3154, 15.9375: 2818, 17.53125: 2499, 19.125: 2212, 20.71875: 1992, 22.3125: 1750, 23.90625: 1554, 25.5: 1356, 27.09375: 1213, 28.6875: 1123, 30.28125: 1079, 31.875: 1312, 33.46875: 1586, 35.0625: 1971, 36.65625: 2464}
[(30.28125, 1079), (28.6875, 1123), (27.09375, 1213), (31.875, 1312), (25.5, 1356), (23.90625, 1554), (33.46875, 1586), (22.3125, 1750), (35.0625, 1971), (20.71875, 1992), (19.125, 2212), (36.65625, 2464), (17.53125, 2499), (15.9375, 2818), (14.34375, 3154), (12.75, 3483)]
 arg_min reach at : 30.28125 with value = 1079
 | arg_min : 30.28125 min_score : 1079{13.5: 1299, 15.1875: 1190, 16.875: 1129, 18.5625: 1073, 20.25: 1041, 21.9375: 1025, 23.625: 995, 25.3125: 1002, 27.0: 1079, 28.6875: 1280, 30.375: 1506, 32.0625: 1818, 33.75: 2218, 35.4375: 2606, 37.125: 3013, 38.8125: 3545}
[(23.625, 995), (25.3125, 1002), (21.9375, 1025), (20.25, 1041), (18.5625, 1073), (27.0, 1079), (16.875, 1129), (15.1875, 1190), (28.6875, 1280), (13.5, 1299), (30.375, 1506), (32.0625, 1818), (33.75, 2218), (35.4375, 2606), (37.125, 3013), (38.8125, 3545)]
 arg_min reach at : 23.625 with value = 995
 | arg_min : 23.625 min_score : 995{13.5: 1907, 15.1875: 1827, 16.875: 1734, 18.5625: 1635, 20.25: 1520, 21.9375: 1400, 23.625: 1268, 25.3125: 1139, 27.0: 995, 28.6875: 1081, 30.375: 1376, 32.0625: 1837, 33.75: 2365, 35.4375: 3034, 37.125: 3644, 38.8125: 4482}
[(27.0, 995), (28.6875, 1081), (25.3125, 1139), (23.625, 1268), (30.375, 1376), (21.9375, 1400), (20.25, 1520), (18.5625, 1635), (16.875, 1734), (15.1875, 1827), (32.0625, 1837), (13.5, 1907), (33.75, 2365), (35.4375, 3034), (37.125, 3644), (38.8125, 4482)]
 arg_min reach at : 27.0 with value = 995
 | arg_min : 27.0 min_score : 995{0.5: 16358, 0.55: 14291, 0.6000000000000001: 12544, 0.65: 11117, 0.7000000000000001: 9800, 0.75: 8586, 0.8: 7533, 0.8500000000000001: 6488, 0.9: 5599, 0.9500000000000001: 4779, 1.0: 4075, 1.05: 3520, 1.1: 3021, 1.1500000000000001: 2582, 1.2000000000000002: 2150, 1.25: 1820, 1.3: 1534, 1.35: 1347, 1.4000000000000001: 1219, 1.4500000000000002: 1130, 1.5: 1073, 1.55: 1037, 1.6: 998, 1.6500000000000001: 961, 1.7000000000000002: 981, 1.75: 984, 1.8: 995, 1.85: 995, 1.9000000000000001: 1023, 1.9500000000000002: 1058}
[(1.6500000000000001, 961), (1.7000000000000002, 981), (1.75, 984), (1.8, 995), (1.85, 995), (1.6, 998), (1.9000000000000001, 1023), (1.55, 1037), (1.9500000000000002, 1058), (1.5, 1073), (1.4500000000000002, 1130), (1.4000000000000001, 1219), (1.35, 1347), (1.3, 1534), (1.25, 1820), (1.2000000000000002, 2150), (1.1500000000000001, 2582), (1.1, 3021), (1.05, 3520), (1.0, 4075), (0.9500000000000001, 4779), (0.9, 5599), (0.8500000000000001, 6488), (0.8, 7533), (0.75, 8586), (0.7000000000000001, 9800), (0.65, 11117), (0.6000000000000001, 12544), (0.55, 14291), (0.5, 16358)]
 arg_min reach at : 1.6500000000000001 with value = 961
 arg_min : 1.6500000000000001 min_score : 961{-90.0: 906, -85.0: 871, -80.0: 858, -75.0: 866, -70.0: 852, -65.0: 864, -60.0: 855, -55.0: 853, -50.0: 961, -45.0: 1180, -40.0: 1412, -35.0: 1690, -30.0: 1959, -25.0: 2243, -20.0: 2484, -15.0: 2677, -10.0: 2820, -5.0: 2976, 0.0: 3039, 5.0: 3049, 10.0: 3098, 15.0: 3122, 20.0: 3061, 25.0: 2954, 30.0: 2845, 35.0: 2631, 40.0: 2417, 45.0: 2130, 50.0: 1863, 55.0: 1564, 60.0: 1439, 65.0: 1326, 70.0: 1220, 75.0: 1142, 80.0: 1056, 85.0: 986}
[(-70.0, 852), (-55.0, 853), (-60.0, 855), (-80.0, 858), (-65.0, 864), (-75.0, 866), (-85.0, 871), (-90.0, 906), (-50.0, 961), (85.0, 986), (80.0, 1056), (75.0, 1142), (-45.0, 1180), (70.0, 1220), (65.0, 1326), (-40.0, 1412), (60.0, 1439), (55.0, 1564), (-35.0, 1690), (50.0, 1863), (-30.0, 1959), (45.0, 2130), (-25.0, 2243), (40.0, 2417), (-20.0, 2484), (35.0, 2631), (-15.0, 2677), (-10.0, 2820), (30.0, 2845), (25.0, 2954), (-5.0, 2976), (0.0, 3039), (5.0, 3049), (20.0, 3061), (10.0, 3098), (15.0, 3122)]
 arg_min reach at : -70.0 with value = 852
 arg_min : -70.0 min_score : 852{12.75: 4966, 14.34375: 4695, 15.9375: 4364, 17.53125: 3945, 19.125: 3465, 20.71875: 2958, 22.3125: 2415, 23.90625: 1841, 25.5: 1295, 27.09375: 936, 28.6875: 847, 30.28125: 852, 31.875: 883, 33.46875: 997, 35.0625: 1322, 36.65625: 1859}
[(28.6875, 847), (30.28125, 852), (31.875, 883), (27.09375, 936), (33.46875, 997), (25.5, 1295), (35.0625, 1322), (23.90625, 1841), (36.65625, 1859), (22.3125, 2415), (20.71875, 2958), (19.125, 3465), (17.53125, 3945), (15.9375, 4364), (14.34375, 4695), (12.75, 4966)]
 arg_min reach at : 28.6875 with value = 847
 arg_min : 28.6875 min_score : 847{13.5: 1489, 15.1875: 1374, 16.875: 1244, 18.5625: 1126, 20.25: 996, 21.9375: 893, 23.625: 847, 25.3125: 933, 27.0: 1153, 28.6875: 1446, 30.375: 1827, 32.0625: 2217, 33.75: 2658, 35.4375: 3137, 37.125: 3653, 38.8125: 4142}
[(23.625, 847), (21.9375, 893), (25.3125, 933), (20.25, 996), (18.5625, 1126), (27.0, 1153), (16.875, 1244), (15.1875, 1374), (28.6875, 1446), (13.5, 1489), (30.375, 1827), (32.0625, 2217), (33.75, 2658), (35.4375, 3137), (37.125, 3653), (38.8125, 4142)]
 arg_min reach at : 23.625 with value = 847
 arg_min : 23.625 min_score : 847{13.5: 1870, 15.1875: 1783, 16.875: 1676, 18.5625: 1564, 20.25: 1442, 21.9375: 1302, 23.625: 1153, 25.3125: 997, 27.0: 847, 28.6875: 864, 30.375: 1163, 32.0625: 1613, 33.75: 2300, 35.4375: 3191, 37.125: 4251, 38.8125: 5356}
[(27.0, 847), (28.6875, 864), (25.3125, 997), (23.625, 1153), (30.375, 1163), (21.9375, 1302), (20.25, 1442), (18.5625, 1564), (32.0625, 1613), (16.875, 1676), (15.1875, 1783), (13.5, 1870), (33.75, 2300), (35.4375, 3191), (37.125, 4251), (38.8125, 5356)]
 arg_min reach at : 27.0 with value = 847
 arg_min : 27.0 min_score : 847 yc : 23.625 xc : 28.6875 angle : -70.0 radius : 27.0 excentricity : 1.6500000000000001
 yc : 23.625 xc : 28.6875 angle : -70.0 radius : 27.0 excentricity : 1.6500000000000001
 x0 : 103 y1 : 396 width : 35, height : 38, area : 1330, score : 1.0
 x0 : 93 y1 : 396 width : 51, height : 36, area : 1836, score : 1.0
 Now saving polygons points : 1| batch 1
Loaded 3 chid ids of type : 520
++ CHI and polygons saved !
(57, 52)
(52, 43)
[57, 52]
(57, 52)
score : 7970
 strategy_opt : 5|  strategy_opt : [('excentricity', [0.5, 2.0, 0.05]), ('angle', [-90.0, 90.0, 5.0]), ('xc', [10.75, 32.25, 1.34375]), ('yc', [13.0, 39.0, 1.625]), ('radius', [13.0, 39.0, 1.625])]
{0.5: 16167, 0.55: 14430, 0.6000000000000001: 12864, 0.65: 11529, 0.7000000000000001: 10346, 0.75: 9256, 0.8: 8418, 0.8500000000000001: 7609, 0.9: 6862, 0.9500000000000001: 6277, 1.0: 5482, 1.05: 4840, 1.1: 4264, 1.1500000000000001: 3773, 1.2000000000000002: 3275, 1.25: 2948, 1.3: 2727, 1.35: 2514, 1.4000000000000001: 2254, 1.4500000000000002: 2155, 1.5: 1986, 1.55: 1892, 1.6: 1846, 1.6500000000000001: 1782, 1.7000000000000002: 1717, 1.75: 1656, 1.8: 1641, 1.85: 1602, 1.9000000000000001: 1587, 1.9500000000000002: 1576}
[(1.9500000000000002, 1576), (1.9000000000000001, 1587), (1.85, 1602), (1.8, 1641), (1.75, 1656), (1.7000000000000002, 1717), (1.6500000000000001, 1782), (1.6, 1846), (1.55, 1892), (1.5, 1986), (1.4500000000000002, 2155), (1.4000000000000001, 2254), (1.35, 2514), (1.3, 2727), (1.25, 2948), (1.2000000000000002, 3275), (1.1500000000000001, 3773), (1.1, 4264), (1.05, 4840), (1.0, 5482), (0.9500000000000001, 6277), (0.9, 6862), (0.8500000000000001, 7609), (0.8, 8418), (0.75, 9256), (0.7000000000000001, 10346), (0.65, 11529), (0.6000000000000001, 12864), (0.55, 14430), (0.5, 16167)]
 arg_min reach at : 1.9500000000000002 with value = 1576
 | arg_min : 1.9500000000000002 min_score : 1576{-90.0: 2291, -85.0: 2369, -80.0: 2390, -75.0: 2401, -70.0: 2341, -65.0: 2390, -60.0: 2418, -55.0: 2445, -50.0: 2599, -45.0: 2701, -40.0: 2755, -35.0: 2787, -30.0: 2753, -25.0: 2678, -20.0: 2611, -15.0: 2478, -10.0: 2313, -5.0: 2098, 0.0: 1870, 5.0: 1702, 10.0: 1576, 15.0: 1422, 20.0: 1258, 25.0: 1061, 30.0: 872, 35.0: 752, 40.0: 632, 45.0: 677, 50.0: 872, 55.0: 1070, 60.0: 1274, 65.0: 1477, 70.0: 1637, 75.0: 1895, 80.0: 2049, 85.0: 2193}
[(40.0, 632), (45.0, 677), (35.0, 752), (30.0, 872), (50.0, 872), (25.0, 1061), (55.0, 1070), (20.0, 1258), (60.0, 1274), (15.0, 1422), (65.0, 1477), (10.0, 1576), (70.0, 1637), (5.0, 1702), (0.0, 1870), (75.0, 1895), (80.0, 2049), (-5.0, 2098), (85.0, 2193), (-90.0, 2291), (-10.0, 2313), (-70.0, 2341), (-85.0, 2369), (-80.0, 2390), (-65.0, 2390), (-75.0, 2401), (-60.0, 2418), (-55.0, 2445), (-15.0, 2478), (-50.0, 2599), (-20.0, 2611), (-25.0, 2678), (-45.0, 2701), (-30.0, 2753), (-40.0, 2755), (-35.0, 2787)]
 arg_min reach at : 40.0 with value = 632
 | arg_min : 40.0 min_score : 632{10.75: 982, 12.09375: 841, 13.4375: 751, 14.78125: 672, 16.125: 624, 17.46875: 599, 18.8125: 575, 20.15625: 561, 21.5: 632, 22.84375: 895, 24.1875: 1257, 25.53125: 1708, 26.875: 2192, 28.21875: 2686, 29.5625: 3202, 30.90625: 3701}
[(20.15625, 561), (18.8125, 575), (17.46875, 599), (16.125, 624), (21.5, 632), (14.78125, 672), (13.4375, 751), (12.09375, 841), (22.84375, 895), (10.75, 982), (24.1875, 1257), (25.53125, 1708), (26.875, 2192), (28.21875, 2686), (29.5625, 3202), (30.90625, 3701)]
 arg_min reach at : 20.15625 with value = 561
 | arg_min : 20.15625 min_score : 561{13.0: 3254, 14.625: 2871, 16.25: 2436, 17.875: 1977, 19.5: 1474, 21.125: 1071, 22.75: 835, 24.375: 629, 26.0: 561, 27.625: 716, 29.25: 937, 30.875: 1286, 32.5: 1738, 34.125: 2226, 35.75: 2782, 37.375: 3291}
[(26.0, 561), (24.375, 629), (27.625, 716), (22.75, 835), (29.25, 937), (21.125, 1071), (30.875, 1286), (19.5, 1474), (32.5, 1738), (17.875, 1977), (34.125, 2226), (16.25, 2436), (35.75, 2782), (14.625, 2871), (13.0, 3254), (37.375, 3291)]
 arg_min reach at : 26.0 with value = 561
 | arg_min : 26.0 min_score : 561{13.0: 1371, 14.625: 1301, 16.25: 1217, 17.875: 1127, 19.5: 1028, 21.125: 926, 22.75: 811, 24.375: 683, 26.0: 561, 27.625: 624, 29.25: 1026, 30.875: 1508, 32.5: 2147, 34.125: 2981, 35.75: 3949, 37.375: 5069}
[(26.0, 561), (27.625, 624), (24.375, 683), (22.75, 811), (21.125, 926), (29.25, 1026), (19.5, 1028), (17.875, 1127), (16.25, 1217), (14.625, 1301), (13.0, 1371), (30.875, 1508), (32.5, 2147), (34.125, 2981), (35.75, 3949), (37.375, 5069)]
 arg_min reach at : 26.0 with value = 561
 | arg_min : 26.0 min_score : 561{0.5: 13327, 0.55: 12420, 0.6000000000000001: 11540, 0.65: 10560, 0.7000000000000001: 9652, 0.75: 8782, 0.8: 7834, 0.8500000000000001: 7061, 0.9: 6294, 0.9500000000000001: 5633, 1.0: 4916, 1.05: 4424, 1.1: 3865, 1.1500000000000001: 3323, 1.2000000000000002: 2817, 1.25: 2401, 1.3: 1935, 1.35: 1600, 1.4000000000000001: 1218, 1.4500000000000002: 1019, 1.5: 834, 1.55: 693, 1.6: 614, 1.6500000000000001: 568, 1.7000000000000002: 549, 1.75: 529, 1.8: 520, 1.85: 521, 1.9000000000000001: 534, 1.9500000000000002: 561}
[(1.8, 520), (1.85, 521), (1.75, 529), (1.9000000000000001, 534), (1.7000000000000002, 549), (1.9500000000000002, 561), (1.6500000000000001, 568), (1.6, 614), (1.55, 693), (1.5, 834), (1.4500000000000002, 1019), (1.4000000000000001, 1218), (1.35, 1600), (1.3, 1935), (1.25, 2401), (1.2000000000000002, 2817), (1.1500000000000001, 3323), (1.1, 3865), (1.05, 4424), (1.0, 4916), (0.9500000000000001, 5633), (0.9, 6294), (0.8500000000000001, 7061), (0.8, 7834), (0.75, 8782), (0.7000000000000001, 9652), (0.65, 10560), (0.6000000000000001, 11540), (0.55, 12420), (0.5, 13327)]
 arg_min reach at : 1.8 with value = 520
 arg_min : 1.8 min_score : 520{-90.0: 2114, -85.0: 2268, -80.0: 2343, -75.0: 2405, -70.0: 2409, -65.0: 2435, -60.0: 2467, -55.0: 2514, -50.0: 2590, -45.0: 2654, -40.0: 2632, -35.0: 2610, -30.0: 2565, -25.0: 2526, -20.0: 2435, -15.0: 2330, -10.0: 2181, -5.0: 2013, 0.0: 1792, 5.0: 1584, 10.0: 1389, 15.0: 1208, 20.0: 1038, 25.0: 843, 30.0: 673, 35.0: 564, 40.0: 520, 45.0: 597, 50.0: 764, 55.0: 963, 60.0: 1158, 65.0: 1390, 70.0: 1573, 75.0: 1800, 80.0: 1969, 85.0: 2070}
[(40.0, 520), (35.0, 564), (45.0, 597), (30.0, 673), (50.0, 764), (25.0, 843), (55.0, 963), (20.0, 1038), (60.0, 1158), (15.0, 1208), (10.0, 1389), (65.0, 1390), (70.0, 1573), (5.0, 1584), (0.0, 1792), (75.0, 1800), (80.0, 1969), (-5.0, 2013), (85.0, 2070), (-90.0, 2114), (-10.0, 2181), (-85.0, 2268), (-15.0, 2330), (-80.0, 2343), (-75.0, 2405), (-70.0, 2409), (-65.0, 2435), (-20.0, 2435), (-60.0, 2467), (-55.0, 2514), (-25.0, 2526), (-30.0, 2565), (-50.0, 2590), (-35.0, 2610), (-40.0, 2632), (-45.0, 2654)]
 arg_min reach at : 40.0 with value = 520
 arg_min : 40.0 min_score : 520{10.75: 1004, 12.09375: 902, 13.4375: 775, 14.78125: 655, 16.125: 580, 17.46875: 515, 18.8125: 494, 20.15625: 520, 21.5: 692, 22.84375: 1028, 24.1875: 1466, 25.53125: 2001, 26.875: 2490, 28.21875: 3027, 29.5625: 3629, 30.90625: 4163}
[(18.8125, 494), (17.46875, 515), (20.15625, 520), (16.125, 580), (14.78125, 655), (21.5, 692), (13.4375, 775), (12.09375, 902), (10.75, 1004), (22.84375, 1028), (24.1875, 1466), (25.53125, 2001), (26.875, 2490), (28.21875, 3027), (29.5625, 3629), (30.90625, 4163)]
 arg_min reach at : 18.8125 with value = 494
 arg_min : 18.8125 min_score : 494{13.0: 3121, 14.625: 2763, 16.25: 2397, 17.875: 1962, 19.5: 1409, 21.125: 1056, 22.75: 809, 24.375: 589, 26.0: 494, 27.625: 635, 29.25: 987, 30.875: 1406, 32.5: 1937, 34.125: 2442, 35.75: 2987, 37.375: 3537}
[(26.0, 494), (24.375, 589), (27.625, 635), (22.75, 809), (29.25, 987), (21.125, 1056), (30.875, 1406), (19.5, 1409), (32.5, 1937), (17.875, 1962), (16.25, 2397), (34.125, 2442), (14.625, 2763), (35.75, 2987), (13.0, 3121), (37.375, 3537)]
 arg_min reach at : 26.0 with value = 494
 arg_min : 26.0 min_score : 494{13.0: 1347, 14.625: 1266, 16.25: 1182, 17.875: 1086, 19.5: 979, 21.125: 865, 22.75: 737, 24.375: 616, 26.0: 494, 27.625: 559, 29.25: 954, 30.875: 1524, 32.5: 2347, 34.125: 3350, 35.75: 4468, 37.375: 5635}
[(26.0, 494), (27.625, 559), (24.375, 616), (22.75, 737), (21.125, 865), (29.25, 954), (19.5, 979), (17.875, 1086), (16.25, 1182), (14.625, 1266), (13.0, 1347), (30.875, 1524), (32.5, 2347), (34.125, 3350), (35.75, 4468), (37.375, 5635)]
 arg_min reach at : 26.0 with value = 494
 arg_min : 26.0 min_score : 494 yc : 26.0 xc : 18.8125 angle : 40.0 radius : 26.0 excentricity : 1.8
 yc : 26.0 xc : 18.8125 angle : 40.0 radius : 26.0 excentricity : 1.8
 x0 : 104 y1 : 292 width : 27, height : 36, area : 972, score : 1.0
 x0 : 102 y1 : 288 width : 39, height : 43, area : 1677, score : 1.0
 Now saving polygons points : 1| batch 1
Loaded 4 chid ids of type : 520
+++ CHI and polygons saved !
['temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0_ellipsebest.jpg', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0_varroa_with_ellipsebest.jpg', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0_ellipsebest.jpg', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0_varroa_with_ellipsebest.jpg', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0_ellipsebest.jpg', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0_varroa_with_ellipsebest.jpg', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0_ellipsebest.jpg', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0_varroa_with_ellipsebest.jpg']

About to upload 8 photos
https://marlene.fotonower.com/api/v1/secured/portfolio/new?access_token=78d09a0790ec6ecbf119343125a81fdc
upload in portfolio : 20846798
Result OK !

uploaded one batch 0 Elapsed time : 19.35360050201416


After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 23.940929174423218
time spend to save output : 7.462501525878906e-05
total time spend for step 1 : 23.941003799438477

step2:tile
Wed Feb 26 16:38:40 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : ['temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg']
We expect there is only one output and this part is used while all output are not tuple or array
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :1, first value : [('temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg',)]
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg': 937852786, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0.jpg': 1339751193, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0.jpg': 1339751194, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0.jpg': 1339751195, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0.jpg': 1339751196}
map_photo_id_path_extension : {937852786: {'path': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg', 'extension': 'jpg'}, 1339751193: {'path': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0.jpg'}, 1339751194: {'path': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0.jpg'}, 1339751195: {'path': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0.jpg'}, 1339751196: {'path': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0.jpg'}}
map_subphoto_mainphoto : {1339751193: 937852786, 1339751194: 937852786, 1339751195: 937852786, 1339751196: 937852786}
verbose : True
 param_json : {'photo_tile_type': 17, 'whiten': True, 'remove_crop_border': True, 'minimal_size_crop_border': 900, 'stride': 240, 'crop_hashtag_type_tiled': 521, 'ETA': 86400, 'new_width': 480, 'new_height': 480, 'token': '78d09a0790ec6ecbf119343125a81fdc', 'portfolio_name': 'tile_taggage_varroa', 'crop_hashtag_type': 520, 'host': 'www.fotonower.com', 'arg_aux_upload': {'type_upload': 'python'}}
 type(crop_hashtag_type) : <class 'int'>
 type(crop_hashtag_type_tiled) : <class 'int'>
We consider crop_hashtag_type is an integer ! 
  map_chi_type_to_chi_type_cropped : {520: 521}
TO DEPRECATE VR 14-6-18
 map_filenames :  {937852786: 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg'}
 list_pids :   1
 list_pids :   2
 list_subpids to replace list_pids : 0
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 937852786,937852786) and `type` in (520) 
Loaded 4 chid ids of type : 520
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (3687651993,3687651994,3687651995,3687651996)
++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3687651993,3687651994,3687651995,3687651996)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3687651993,3687651994,3687651995,3687651996)
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=tile_taggage_varroa&access_token=78d09a0790ec6ecbf119343125a81fdc
 created feed_id_new_photos : 20846800 with name tile_taggage_varroa
 feed_id_new_photos : 20846800
 filename : temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg
 photo_id : 937852786
 height_image_input : 480 width_image_input : 480
 new_width : 480 new_height : 480
 stride : 240 stride_relative : 0.1
 chi to copy from the main photo to the tiled photo  input_chi_for_this_image_as_chi :  4
list_bib_to_crops : 1 [(0, 480, 0, 480, 0)]
calcul des nouveaux crops pour le tile x0:0,x1:480,y0:0,y1:480
calcul avec la methode originale
calcul avec la methode originale
calcul avec la methode originale
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcdc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc580>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc2b0>]
 new_crops_tiles : 1 crop_transformed : 4
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
[(937852786, 2090988864, 17, 0, 480, 0, 480, 1.0)]
  list_photo_ids_cropped : [937852786]
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 937852786) and `type` in (17) 
Loaded 1 chid ids of type : 17
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (8165084)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (8165084)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (8165084)
treat the image : temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg
, 0
before upload mediasElapsed time : 0.008020639419555664

on upload les photos avec python
init cache_photo without model_param  
we have 1 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1740584328_3116993
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `mtr_user_id`, `created_at`)
                  VALUES (20846800, 1339751224, 0, NOW())
1
we have uploaded 1 photos in the portfolio 20846800
Importing !

upload mediasElapsed time : 0.8512294292449951

, 0insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : [(8165084, 1339751224, 0)]
Saving 4 CHIs.
list_chi_tile : ["<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1339751224, 'hashtag_id': 2087736828, 'type': 521, 'x0': 432, 'x1': 467, 'y0': 303, 'y1': 355, 'score': 1.0, 'id': 0, 'points': ['463,352,452,353,439,350,426,342,418,333,417,325,422,319,433,318,446,321,459,328,467,338,469,346', '463,352,452,353,439,350,426,342,418,333,417,325,422,319,433,318,446,321,459,328,467,338,469,346'], 'sub_photo_id': 0, 'rles': [], 'hashtag': '', 'sum_segment': 0}", "<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1339751224, 'hashtag_id': 2087736828, 'type': 521, 'x0': 419, 'x1': 445, 'y0': 434, 'y1': 480, 'score': 1.0, 'id': 0, 'points': ['451,461,449,467,441,473,429,477,416,477,406,473,402,467,403,461,411,455,423,451,435,452,446,455', '451,461,449,467,441,473,429,477,416,477,406,473,402,467,403,461,411,455,423,451,435,452,446,455'], 'sub_photo_id': 0, 'rles': [], 'hashtag': '', 'sum_segment': 0}", "<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1339751224, 'hashtag_id': 2087736828, 'type': 521, 'x0': 93, 'x1': 144, 'y0': 360, 'y1': 396, 'score': 1.0, 'id': 0, 'points': ['112,359,120,350,130,348,137,351,141,361,140,374,134,387,126,396,117,399,109,395,105,385,106,372', '112,359,120,350,130,348,137,351,141,361,140,374,134,387,126,396,117,399,109,395,105,385,106,372'], 'sub_photo_id': 0, 'rles': [], 'hashtag': '', 'sum_segment': 0}", "<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1339751224, 'hashtag_id': 2087736828, 'type': 521, 'x0': 102, 'x1': 141, 'y0': 245, 'y1': 288, 'score': 1.0, 'id': 0, 'points': ['124,293,112,290,102,281,95,271,93,262,96,255,105,254,116,257,127,266,134,276,136,285,132,292', '124,293,112,290,102,281,95,271,93,262,96,255,105,254,116,257,127,266,134,276,136,285,132,292'], 'sub_photo_id': 0, 'rles': [], 'hashtag': '', 'sum_segment': 0}"]
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 4 chid ids of type : 521
INSERT IGNORE INTO MTRPhoto.crop_polygon_points (`crop_hashtag_id`, `points`) VALUES (%s, %s)
Number RLEs to save : 0
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 

end of tileElapsed time : 0.9160146713256836

map_pid_results : {'1339751224': ['temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg']}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 7.603446006774902
time spend to save output : 6.175041198730469e-05
total time spend for step 2 : 7.60350775718689

step3:rotate
Wed Feb 26 16:38:48 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {'1339751224': ['temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg']}
 input_args_next_step : {'1339751224': ()}
 output_args : {'1339751224': ['temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg']}
 args : 1339751224
 depend.output_id : 0
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :1, first value : ('temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg',)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg': 937852786, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0.jpg': 1339751193, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0.jpg': 1339751194, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0.jpg': 1339751195, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0.jpg': 1339751196, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg': 1339751224}
map_photo_id_path_extension : {937852786: {'path': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg', 'extension': 'jpg'}, 1339751193: {'path': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0.jpg'}, 1339751194: {'path': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0.jpg'}, 1339751195: {'path': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0.jpg'}, 1339751196: {'path': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0.jpg'}, 1339751224: {'path': 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg'}}
map_subphoto_mainphoto : {1339751193: 937852786, 1339751194: 937852786, 1339751195: 937852786, 1339751196: 937852786, 1339751224: 937852786}

Beginning of datou_step_rotate !
Warning, new_feed_id is empty !
We are in a datou with depends !
rotate photos of 0,15,30,45,60,75,90,105,120,135,150,165,180,195,210,225,240,255,270,285,300,315,330,345 degres
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1339751224) and `type` in (521) 
Loaded 4 chid ids of type : 521
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (3687652763,3687652764,3687652762,3687652761)
++WARNING : duplicated polygon, we should remove this data for chi_id : 3687652761. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3687652762. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3687652763. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3687652764. Ignored now
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3687652763,3687652764,3687652762,3687652761)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3687652763,3687652764,3687652762,3687652761)
 map_chi : {1339751224: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>]}
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=rotate_data_augmentation_varroa_480_ellipse_320&access_token=78d09a0790ec6ecbf119343125a81fdc
 feed_id_new_photos : 20846825
 photo_id in download_rotate_and_save : 1339751224 list_chi_loc : 4
Use all angle !
Rotation of photo 1339751224 of 0 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 0
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[ 1.  0.]
 [-0.  1.]]
0
[[ 1.  0.]
 [-0.  1.]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.00043201446533203125
nb_pixel_total : 1389
time to create 1 rle with old method : 0.0019712448120117188
.time for calcul the mask position with numpy : 0.0003364086151123047
nb_pixel_total : 1157
time to create 1 rle with old method : 0.0014524459838867188
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 2
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 2087736828, 'type': 529, 'x0': 25, 'x1': 61, 'y0': 268, 'y1': 319, 'score': 1.0, 'id': None, 'points': ['32,279,40,270,50,268,57,271,61,281,60,294,54,307,46,316,37,319,29,315,25,305,26,292'], 'sub_photo_id': 0, 'rles': [(-1, 48, 268, 4), (-1, 43, 269, 11), (-1, 40, 270, 16), (-1, 39, 271, 19), (-1, 38, 272, 20), (-1, 37, 273, 22), (-1, 36, 274, 23), (-1, 36, 275, 24), (-1, 35, 276, 25), (-1, 34, 277, 26), (-1, 33, 278, 28), (-1, 32, 279, 29), (-1, 32, 280, 30), (-1, 31, 281, 31), (-1, 31, 282, 31), (-1, 30, 283, 32), (-1, 30, 284, 32), (-1, 29, 285, 33), (-1, 29, 286, 33), (-1, 28, 287, 34), (-1, 28, 288, 33), (-1, 27, 289, 34), (-1, 27, 290, 34), (-1, 26, 291, 35), (-1, 26, 292, 35), (-1, 26, 293, 35), (-1, 26, 294, 35), (-1, 26, 295, 35), (-1, 26, 296, 34), (-1, 26, 297, 34), (-1, 26, 298, 33), (-1, 25, 299, 34), (-1, 25, 300, 33), (-1, 25, 301, 33), (-1, 25, 302, 32), (-1, 25, 303, 32), (-1, 25, 304, 31), (-1, 25, 305, 31), (-1, 25, 306, 30), (-1, 26, 307, 29), (-1, 26, 308, 28), (-1, 27, 309, 26), (-1, 27, 310, 25), (-1, 27, 311, 24), (-1, 28, 312, 23), (-1, 28, 313, 22), (-1, 29, 314, 20), (-1, 29, 315, 19), (-1, 31, 316, 16), (-1, 33, 317, 12), (-1, 35, 318, 7), (-1, 37, 319, 2)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -1, 'hashtag_id': 2087736828, 'type': 529, 'x0': 13, 'x1': 56, 'y0': 174, 'y1': 213, 'score': 1.0, 'id': None, 'points': ['44,213,32,210,22,201,15,191,13,182,16,175,25,174,36,177,47,186,54,196,56,205,52,212'], 'sub_photo_id': 0, 'rles': [(-1, 21, 174, 6), (-1, 16, 175, 15), (-1, 16, 176, 19), (-1, 15, 177, 22), (-1, 15, 178, 23), (-1, 14, 179, 26), (-1, 14, 180, 27), (-1, 13, 181, 29), (-1, 13, 182, 30), (-1, 13, 183, 31), (-1, 13, 184, 33), (-1, 14, 185, 33), (-1, 14, 186, 34), (-1, 14, 187, 35), (-1, 14, 188, 35), (-1, 15, 189, 35), (-1, 15, 190, 36), (-1, 15, 191, 36), (-1, 16, 192, 36), (-1, 16, 193, 37), (-1, 17, 194, 37), (-1, 18, 195, 36), (-1, 18, 196, 37), (-1, 19, 197, 36), (-1, 20, 198, 35), (-1, 21, 199, 35), (-1, 21, 200, 35), (-1, 22, 201, 34), (-1, 23, 202, 33), (-1, 24, 203, 33), (-1, 25, 204, 32), (-1, 26, 205, 31), (-1, 28, 206, 28), (-1, 29, 207, 27), (-1, 30, 208, 25), (-1, 31, 209, 24), (-1, 32, 210, 22), (-1, 35, 211, 19), (-1, 39, 212, 14), (-1, 43, 213, 6)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 15 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 15
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[ 0.96592583  0.25881905]
 [-0.25881905  0.96592583]]
15
[[ 0.96592583  0.25881905]
 [-0.25881905  0.96592583]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.00040531158447265625
nb_pixel_total : 694
time to create 1 rle with old method : 0.0009145736694335938
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.0004553794860839844
nb_pixel_total : 1162
time to create 1 rle with old method : 0.0018477439880371094
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -2, 'hashtag_id': 2087736828, 'type': 529, 'x0': 24, 'x1': 72, 'y0': 209, 'y1': 242, 'score': 1.0, 'id': None, 'points': ['62,241,50,242,38,236,28,228,24,220,25,212,34,209,45,209,58,215,67,222,72,231,70,238'], 'sub_photo_id': 0, 'rles': [(-1, 33, 209, 3), (-1, 37, 209, 9), (-1, 30, 210, 18), (-1, 49, 210, 1), (-1, 30, 211, 21), (-1, 26, 212, 27), (-1, 26, 213, 29), (-1, 26, 214, 32), (-1, 25, 215, 35), (-1, 25, 216, 36), (-1, 25, 217, 37), (-1, 25, 218, 38), (-1, 24, 219, 40), (-1, 25, 220, 40), (-1, 25, 221, 42), (-1, 25, 222, 43), (-1, 26, 223, 43), (-1, 27, 224, 42), (-1, 27, 225, 43), (-1, 28, 226, 43), (-1, 29, 227, 42), (-1, 29, 228, 42), (-1, 30, 229, 43), (-1, 30, 230, 43), (-1, 32, 231, 41), (-1, 33, 232, 39), (-1, 34, 233, 39), (-1, 36, 234, 36), (-1, 37, 235, 35), (-1, 38, 236, 34), (-1, 40, 237, 32), (-1, 42, 238, 30), (-1, 43, 239, 28), (-1, 46, 240, 22), (-1, 48, 241, 19), (-1, 50, 242, 15)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 30 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 30
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[ 0.8660254  0.5      ]
 [-0.5        0.8660254]]
30
[[ 0.8660254  0.5      ]
 [-0.5        0.8660254]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0003635883331298828
nb_pixel_total : 221
time to create 1 rle with old method : 0.0003685951232910156
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.00037097930908203125
nb_pixel_total : 1155
time to create 1 rle with old method : 0.0017321109771728516
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 2087736828, 'type': 529, 'x0': 44, 'x1': 93, 'y0': 238, 'y1': 268, 'score': 1.0, 'id': None, 'points': ['86,264,74,268,61,265,50,260,44,253,43,245,50,240,61,237,75,239,87,245,93,251,93,259'], 'sub_photo_id': 0, 'rles': [(-1, 59, 238, 9), (-1, 55, 239, 17), (-1, 73, 239, 1), (-1, 51, 240, 27), (-1, 49, 241, 30), (-1, 48, 242, 34), (-1, 48, 243, 36), (-1, 46, 244, 40), (-1, 45, 245, 43), (-1, 44, 246, 45), (-1, 44, 247, 46), (-1, 44, 248, 47), (-1, 44, 249, 48), (-1, 44, 250, 49), (-1, 44, 251, 50), (-1, 44, 252, 50), (-1, 44, 253, 50), (-1, 45, 254, 49), (-1, 45, 255, 49), (-1, 47, 256, 47), (-1, 48, 257, 46), (-1, 48, 258, 46), (-1, 50, 259, 44), (-1, 51, 260, 43), (-1, 52, 261, 41), (-1, 54, 262, 37), (-1, 56, 263, 35), (-1, 59, 264, 31), (-1, 60, 265, 28), (-1, 63, 266, 21), (-1, 67, 267, 2), (-1, 70, 267, 11), (-1, 74, 268, 3)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 45 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 45
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[ 0.70710678  0.70710678]
 [-0.70710678  0.70710678]]
45
[[ 0.70710678  0.70710678]
 [-0.70710678  0.70710678]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.00042438507080078125
nb_pixel_total : 143
time to create 1 rle with old method : 0.0003361701965332031
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.00043201446533203125
nb_pixel_total : 1161
time to create 1 rle with old method : 0.0019249916076660156
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -4, 'hashtag_id': 2087736828, 'type': 529, 'x0': 69, 'x1': 121, 'y0': 258, 'y1': 286, 'score': 1.0, 'id': None, 'points': ['115,279,105,285,91,286,79,284,72,279,69,272,74,265,84,259,98,258,110,260,118,265,120,273'], 'sub_photo_id': 0, 'rles': [(-1, 96, 258, 5), (-1, 88, 259, 17), (-1, 84, 260, 26), (-1, 111, 260, 1), (-1, 82, 261, 31), (-1, 81, 262, 34), (-1, 78, 263, 38), (-1, 77, 264, 42), (-1, 75, 265, 45), (-1, 74, 266, 46), (-1, 73, 267, 47), (-1, 72, 268, 48), (-1, 72, 269, 49), (-1, 71, 270, 50), (-1, 70, 271, 51), (-1, 69, 272, 53), (-1, 70, 273, 52), (-1, 70, 274, 51), (-1, 70, 275, 50), (-1, 71, 276, 48), (-1, 71, 277, 49), (-1, 72, 278, 47), (-1, 71, 279, 47), (-1, 72, 280, 45), (-1, 73, 281, 41), (-1, 76, 282, 37), (-1, 77, 283, 34), (-1, 79, 284, 31), (-1, 82, 285, 25), (-1, 85, 286, 21)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 60 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 60
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[ 0.5        0.8660254]
 [-0.8660254  0.5      ]]
60
[[ 0.5        0.8660254]
 [-0.8660254  0.5      ]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0003695487976074219
nb_pixel_total : 414
time to create 1 rle with old method : 0.0007436275482177734
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.0003800392150878906
nb_pixel_total : 1159
time to create 1 rle with old method : 0.0018205642700195312
. crop are not in the shrunk photo ! 
On the border
Smaller than minimal size ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -5, 'hashtag_id': 2087736828, 'type': 529, 'x0': 102, 'x1': 152, 'y0': 269, 'y1': 300, 'score': 1.0, 'id': None, 'points': ['148,286,140,295,127,299,115,300,106,297,101,291,105,283,113,275,126,270,139,268,147,271,151,278'], 'sub_photo_id': 0, 'rles': [(-1, 132, 269, 1), (-1, 135, 269, 6), (-1, 126, 270, 18), (-1, 124, 271, 24), (-1, 121, 272, 28), (-1, 118, 273, 32), (-1, 116, 274, 34), (-1, 113, 275, 38), (-1, 112, 276, 39), (-1, 111, 277, 41), (-1, 111, 278, 42), (-1, 109, 279, 44), (-1, 108, 280, 44), (-1, 108, 281, 44), (-1, 106, 282, 45), (-1, 105, 283, 47), (-1, 105, 284, 46), (-1, 104, 285, 46), (-1, 104, 286, 46), (-1, 104, 287, 45), (-1, 104, 288, 44), (-1, 103, 289, 44), (-1, 103, 290, 43), (-1, 102, 291, 43), (-1, 102, 292, 42), (-1, 103, 293, 41), (-1, 104, 294, 38), (-1, 104, 295, 37), (-1, 105, 296, 33), (-1, 106, 297, 28), (-1, 107, 298, 27), (-1, 111, 299, 19), (-1, 112, 300, 1), (-1, 114, 300, 9)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 75 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 75
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[ 0.25881905  0.96592583]
 [-0.96592583  0.25881905]]
75
[[ 0.25881905  0.96592583]
 [-0.96592583  0.25881905]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.00038552284240722656
nb_pixel_total : 1204
time to create 1 rle with old method : 0.0015177726745605469
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.0003669261932373047
nb_pixel_total : 1157
time to create 1 rle with old method : 0.001474142074584961
. crop are not in the shrunk photo ! 
time for calcul the mask position with numpy : 0.0003452301025390625
nb_pixel_total : 264
time to create 1 rle with old method : 0.0004916191101074219
On the border
Smaller than minimal size ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -6, 'hashtag_id': 2087736828, 'type': 529, 'x0': 138, 'x1': 183, 'y0': 271, 'y1': 308, 'score': 1.0, 'id': None, 'points': ['182,285,176,295,164,303,153,307,144,306,138,302,139,293,145,283,156,275,168,270,177,271,183,277'], 'sub_photo_id': 0, 'rles': [(-1, 168, 271, 10), (-1, 165, 272, 14), (-1, 162, 273, 18), (-1, 160, 274, 22), (-1, 157, 275, 25), (-1, 155, 276, 28), (-1, 154, 277, 30), (-1, 153, 278, 31), (-1, 152, 279, 32), (-1, 150, 280, 33), (-1, 148, 281, 36), (-1, 148, 282, 36), (-1, 146, 283, 38), (-1, 145, 284, 38), (-1, 144, 285, 39), (-1, 144, 286, 39), (-1, 143, 287, 39), (-1, 143, 288, 38), (-1, 142, 289, 39), (-1, 141, 290, 40), (-1, 141, 291, 38), (-1, 140, 292, 39), (-1, 140, 293, 39), (-1, 139, 294, 39), (-1, 139, 295, 38), (-1, 139, 296, 38), (-1, 139, 297, 36), (-1, 139, 298, 35), (-1, 139, 299, 33), (-1, 139, 300, 32), (-1, 138, 301, 32), (-1, 138, 302, 30), (-1, 139, 303, 27), (-1, 140, 304, 25), (-1, 142, 305, 19), (-1, 143, 306, 17), (-1, 143, 307, 14), (-1, 150, 308, 1)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 90 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 90
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[ 6.123234e-17  1.000000e+00]
 [-1.000000e+00  6.123234e-17]]
90
[[ 6.123234e-17  1.000000e+00]
 [-1.000000e+00  6.123234e-17]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0003821849822998047
nb_pixel_total : 1389
time to create 1 rle with old method : 0.002115964889526367
.time for calcul the mask position with numpy : 0.0004050731658935547
nb_pixel_total : 1157
time to create 1 rle with old method : 0.0016384124755859375
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 2
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -7, 'hashtag_id': 2087736828, 'type': 529, 'x0': 268, 'x1': 319, 'y0': 258, 'y1': 294, 'score': 1.0, 'id': None, 'points': ['279,287,270,279,268,269,271,262,281,258,294,259,307,265,316,273,319,282,315,290,305,294,292,293'], 'sub_photo_id': 0, 'rles': [(-1, 280, 258, 8), (-1, 278, 259, 18), (-1, 275, 260, 23), (-1, 273, 261, 27), (-1, 271, 262, 31), (-1, 271, 263, 33), (-1, 270, 264, 36), (-1, 270, 265, 38), (-1, 269, 266, 40), (-1, 269, 267, 41), (-1, 268, 268, 43), (-1, 268, 269, 45), (-1, 268, 270, 46), (-1, 268, 271, 47), (-1, 269, 272, 47), (-1, 269, 273, 48), (-1, 269, 274, 48), (-1, 269, 275, 49), (-1, 269, 276, 49), (-1, 270, 277, 48), (-1, 270, 278, 49), (-1, 270, 279, 49), (-1, 271, 280, 48), (-1, 272, 281, 48), (-1, 273, 282, 47), (-1, 274, 283, 45), (-1, 276, 284, 43), (-1, 277, 285, 41), (-1, 278, 286, 40), (-1, 279, 287, 38), (-1, 281, 288, 36), (-1, 283, 289, 33), (-1, 285, 290, 31), (-1, 287, 291, 27), (-1, 289, 292, 23), (-1, 291, 293, 18), (-1, 299, 294, 8)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -7, 'hashtag_id': 2087736828, 'type': 529, 'x0': 174, 'x1': 213, 'y0': 263, 'y1': 306, 'score': 1.0, 'id': None, 'points': ['213,275,210,287,201,297,191,304,182,306,175,303,174,294,177,283,186,272,196,265,205,263,212,267'], 'sub_photo_id': 0, 'rles': [(-1, 203, 263, 3), (-1, 199, 264, 9), (-1, 196, 265, 14), (-1, 194, 266, 18), (-1, 193, 267, 20), (-1, 192, 268, 21), (-1, 190, 269, 23), (-1, 189, 270, 24), (-1, 187, 271, 27), (-1, 186, 272, 28), (-1, 185, 273, 29), (-1, 184, 274, 30), (-1, 184, 275, 30), (-1, 183, 276, 31), (-1, 182, 277, 31), (-1, 181, 278, 32), (-1, 180, 279, 33), (-1, 179, 280, 34), (-1, 179, 281, 33), (-1, 178, 282, 34), (-1, 177, 283, 35), (-1, 177, 284, 35), (-1, 176, 285, 35), (-1, 176, 286, 35), (-1, 176, 287, 35), (-1, 176, 288, 34), (-1, 175, 289, 34), (-1, 175, 290, 33), (-1, 175, 291, 32), (-1, 175, 292, 31), (-1, 174, 293, 32), (-1, 174, 294, 31), (-1, 174, 295, 30), (-1, 174, 296, 29), (-1, 174, 297, 28), (-1, 174, 298, 27), (-1, 175, 299, 24), (-1, 175, 300, 23), (-1, 175, 301, 22), (-1, 175, 302, 20), (-1, 175, 303, 19), (-1, 177, 304, 15), (-1, 179, 305, 10), (-1, 181, 306, 4)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 105 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 105
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[-0.25881905  0.96592583]
 [-0.96592583 -0.25881905]]
105
[[-0.25881905  0.96592583]
 [-0.96592583 -0.25881905]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0003859996795654297
nb_pixel_total : 694
time to create 1 rle with old method : 0.0011119842529296875
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.0003764629364013672
nb_pixel_total : 1162
time to create 1 rle with old method : 0.0016083717346191406
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -8, 'hashtag_id': 2087736828, 'type': 529, 'x0': 209, 'x1': 242, 'y0': 248, 'y1': 296, 'score': 1.0, 'id': None, 'points': ['241,257,242,269,236,281,228,291,220,295,212,294,209,285,209,274,215,261,222,252,231,247,238,249'], 'sub_photo_id': 0, 'rles': [(-1, 229, 248, 3), (-1, 233, 248, 1), (-1, 229, 249, 10), (-1, 226, 250, 14), (-1, 225, 251, 15), (-1, 223, 252, 17), (-1, 222, 253, 19), (-1, 221, 254, 21), (-1, 221, 255, 21), (-1, 220, 256, 23), (-1, 219, 257, 24), (-1, 218, 258, 25), (-1, 217, 259, 26), (-1, 216, 260, 27), (-1, 215, 261, 28), (-1, 215, 262, 28), (-1, 214, 263, 29), (-1, 214, 264, 29), (-1, 214, 265, 29), (-1, 213, 266, 30), (-1, 213, 267, 30), (-1, 212, 268, 31), (-1, 212, 269, 31), (-1, 211, 270, 32), (-1, 210, 271, 32), (-1, 211, 272, 31), (-1, 210, 273, 31), (-1, 210, 274, 31), (-1, 209, 275, 31), (-1, 209, 276, 31), (-1, 209, 277, 31), (-1, 209, 278, 30), (-1, 209, 279, 29), (-1, 209, 280, 29), (-1, 209, 281, 28), (-1, 209, 282, 28), (-1, 209, 283, 27), (-1, 210, 284, 25), (-1, 209, 285, 25), (-1, 209, 286, 25), (-1, 209, 287, 24), (-1, 210, 288, 22), (-1, 210, 289, 21), (-1, 210, 290, 21), (-1, 212, 291, 17), (-1, 212, 292, 15), (-1, 212, 293, 14), (-1, 212, 294, 12), (-1, 215, 295, 8), (-1, 219, 296, 1)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 120 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 120
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[-0.5        0.8660254]
 [-0.8660254 -0.5      ]]
120
[[-0.5        0.8660254]
 [-0.8660254 -0.5      ]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0004019737243652344
nb_pixel_total : 221
time to create 1 rle with old method : 0.00043702125549316406
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.0003857612609863281
nb_pixel_total : 1155
time to create 1 rle with old method : 0.0019271373748779297
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -9, 'hashtag_id': 2087736828, 'type': 529, 'x0': 238, 'x1': 268, 'y0': 227, 'y1': 276, 'score': 1.0, 'id': None, 'points': ['264,233,268,245,265,258,260,269,253,275,245,276,240,269,237,258,239,244,245,232,251,226,259,226'], 'sub_photo_id': 0, 'rles': [(-1, 251, 227, 10), (-1, 250, 228, 12), (-1, 249, 229, 13), (-1, 248, 230, 16), (-1, 247, 231, 18), (-1, 246, 232, 19), (-1, 245, 233, 21), (-1, 245, 234, 21), (-1, 244, 235, 22), (-1, 244, 236, 22), (-1, 243, 237, 24), (-1, 243, 238, 24), (-1, 242, 239, 25), (-1, 242, 240, 26), (-1, 242, 241, 26), (-1, 241, 242, 27), (-1, 240, 243, 28), (-1, 240, 244, 29), (-1, 240, 245, 29), (-1, 240, 246, 29), (-1, 239, 247, 29), (-1, 240, 248, 28), (-1, 239, 249, 29), (-1, 239, 250, 29), (-1, 239, 251, 28), (-1, 239, 252, 29), (-1, 238, 253, 30), (-1, 238, 254, 29), (-1, 238, 255, 29), (-1, 238, 256, 29), (-1, 238, 257, 29), (-1, 238, 258, 28), (-1, 238, 259, 28), (-1, 238, 260, 28), (-1, 238, 261, 27), (-1, 239, 262, 25), (-1, 239, 263, 25), (-1, 239, 264, 25), (-1, 239, 265, 24), (-1, 240, 266, 23), (-1, 240, 267, 22), (-1, 240, 268, 22), (-1, 240, 269, 21), (-1, 241, 270, 19), (-1, 241, 271, 18), (-1, 242, 272, 17), (-1, 244, 273, 13), (-1, 244, 274, 12), (-1, 245, 275, 11), (-1, 246, 276, 8)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 135 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 135
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[-0.70710678  0.70710678]
 [-0.70710678 -0.70710678]]
135
[[-0.70710678  0.70710678]
 [-0.70710678 -0.70710678]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0003845691680908203
nb_pixel_total : 143
time to create 1 rle with old method : 0.00045371055603027344
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.00035881996154785156
nb_pixel_total : 1160
time to create 1 rle with old method : 0.0014162063598632812
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -10, 'hashtag_id': 2087736828, 'type': 529, 'x0': 258, 'x1': 286, 'y0': 199, 'y1': 251, 'score': 1.0, 'id': None, 'points': ['279,204,285,214,286,228,284,240,279,247,272,250,265,245,259,235,258,221,260,209,265,201,273,199'], 'sub_photo_id': 0, 'rles': [(-1, 272, 199, 2), (-1, 269, 200, 6), (-1, 265, 201, 1), (-1, 267, 201, 9), (-1, 277, 201, 1), (-1, 264, 202, 15), (-1, 264, 203, 16), (-1, 264, 204, 17), (-1, 263, 205, 18), (-1, 262, 206, 19), (-1, 262, 207, 20), (-1, 261, 208, 22), (-1, 260, 209, 23), (-1, 261, 210, 23), (-1, 260, 211, 25), (-1, 260, 212, 25), (-1, 260, 213, 25), (-1, 260, 214, 26), (-1, 260, 215, 27), (-1, 259, 216, 28), (-1, 259, 217, 28), (-1, 259, 218, 28), (-1, 259, 219, 28), (-1, 258, 220, 29), (-1, 258, 221, 29), (-1, 258, 222, 29), (-1, 258, 223, 29), (-1, 258, 224, 29), (-1, 259, 225, 28), (-1, 259, 226, 28), (-1, 259, 227, 28), (-1, 259, 228, 28), (-1, 259, 229, 28), (-1, 259, 230, 28), (-1, 259, 231, 28), (-1, 259, 232, 28), (-1, 260, 233, 27), (-1, 260, 234, 27), (-1, 260, 235, 27), (-1, 260, 236, 26), (-1, 261, 237, 25), (-1, 261, 238, 25), (-1, 262, 239, 23), (-1, 263, 240, 22), (-1, 263, 241, 22), (-1, 263, 242, 21), (-1, 264, 243, 20), (-1, 265, 244, 18), (-1, 265, 245, 17), (-1, 266, 246, 16), (-1, 267, 247, 15), (-1, 268, 248, 13), (-1, 270, 249, 8), (-1, 279, 249, 1), (-1, 271, 250, 5), (-1, 272, 251, 1)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 150 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 150
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[-0.8660254  0.5      ]
 [-0.5       -0.8660254]]
150
[[-0.8660254  0.5      ]
 [-0.5       -0.8660254]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.00048160552978515625
nb_pixel_total : 414
time to create 1 rle with old method : 0.0009062290191650391
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.0004379749298095703
nb_pixel_total : 1159
time to create 1 rle with old method : 0.0019888877868652344
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
time for calcul the mask position with numpy : 0.0004754066467285156
nb_pixel_total : 1
time to create 1 rle with old method : 3.7670135498046875e-05
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -11, 'hashtag_id': 2087736828, 'type': 529, 'x0': 269, 'x1': 300, 'y0': 168, 'y1': 218, 'score': 1.0, 'id': None, 'points': ['286,171,295,179,299,192,300,204,297,213,291,218,283,214,275,206,270,193,268,180,271,172,278,168'], 'sub_photo_id': 0, 'rles': [(-1, 278, 168, 2), (-1, 277, 169, 5), (-1, 283, 169, 1), (-1, 275, 170, 10), (-1, 273, 171, 14), (-1, 272, 172, 16), (-1, 271, 173, 18), (-1, 271, 174, 19), (-1, 271, 175, 20), (-1, 271, 176, 21), (-1, 270, 177, 24), (-1, 270, 178, 24), (-1, 270, 179, 25), (-1, 269, 180, 27), (-1, 269, 181, 27), (-1, 269, 182, 27), (-1, 269, 183, 28), (-1, 269, 184, 28), (-1, 269, 185, 28), (-1, 270, 186, 27), (-1, 270, 187, 29), (-1, 269, 188, 30), (-1, 270, 189, 29), (-1, 270, 190, 29), (-1, 270, 191, 30), (-1, 270, 192, 30), (-1, 270, 193, 30), (-1, 270, 194, 30), (-1, 271, 195, 29), (-1, 271, 196, 29), (-1, 272, 197, 28), (-1, 272, 198, 29), (-1, 272, 199, 29), (-1, 273, 200, 28), (-1, 273, 201, 28), (-1, 273, 202, 28), (-1, 274, 203, 27), (-1, 274, 204, 27), (-1, 275, 205, 26), (-1, 275, 206, 26), (-1, 275, 207, 25), (-1, 276, 208, 25), (-1, 277, 209, 23), (-1, 279, 210, 20), (-1, 279, 211, 20), (-1, 280, 212, 19), (-1, 282, 213, 17), (-1, 282, 214, 16), (-1, 283, 215, 14), (-1, 285, 216, 11), (-1, 289, 217, 5), (-1, 291, 218, 2)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 165 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 165
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[-0.96592583  0.25881905]
 [-0.25881905 -0.96592583]]
165
[[-0.96592583  0.25881905]
 [-0.25881905 -0.96592583]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.00039958953857421875
nb_pixel_total : 1204
time to create 1 rle with old method : 0.0014133453369140625
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.0005068778991699219
nb_pixel_total : 1158
time to create 1 rle with old method : 0.0014102458953857422
. crop are not in the shrunk photo ! 
time for calcul the mask position with numpy : 0.00039076805114746094
nb_pixel_total : 264
time to create 1 rle with old method : 0.0004925727844238281
On the border
Smaller than minimal size ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -12, 'hashtag_id': 2087736828, 'type': 529, 'x0': 271, 'x1': 308, 'y0': 137, 'y1': 182, 'score': 1.0, 'id': None, 'points': ['285,137,295,143,303,155,307,166,306,175,302,181,293,180,283,174,275,163,270,151,271,142,277,136'], 'sub_photo_id': 0, 'rles': [(-1, 276, 137, 4), (-1, 281, 137, 3), (-1, 276, 138, 11), (-1, 274, 139, 14), (-1, 274, 140, 17), (-1, 273, 141, 18), (-1, 272, 142, 22), (-1, 271, 143, 24), (-1, 271, 144, 26), (-1, 271, 145, 26), (-1, 271, 146, 27), (-1, 271, 147, 28), (-1, 271, 148, 28), (-1, 271, 149, 29), (-1, 271, 150, 30), (-1, 271, 151, 31), (-1, 271, 152, 31), (-1, 272, 153, 31), (-1, 272, 154, 31), (-1, 272, 155, 32), (-1, 273, 156, 32), (-1, 273, 157, 32), (-1, 273, 158, 32), (-1, 274, 159, 31), (-1, 274, 160, 32), (-1, 275, 161, 32), (-1, 275, 162, 32), (-1, 275, 163, 32), (-1, 276, 164, 32), (-1, 276, 165, 32), (-1, 277, 166, 31), (-1, 278, 167, 30), (-1, 279, 168, 29), (-1, 280, 169, 28), (-1, 280, 170, 29), (-1, 281, 171, 27), (-1, 281, 172, 27), (-1, 283, 173, 25), (-1, 283, 174, 25), (-1, 284, 175, 24), (-1, 285, 176, 23), (-1, 287, 177, 21), (-1, 289, 178, 17), (-1, 290, 179, 15), (-1, 292, 180, 13), (-1, 294, 181, 10), (-1, 301, 182, 2)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 180 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 180
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[-1.0000000e+00  1.2246468e-16]
 [-1.2246468e-16 -1.0000000e+00]]
180
[[-1.0000000e+00  1.2246468e-16]
 [-1.2246468e-16 -1.0000000e+00]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.00040650367736816406
nb_pixel_total : 1389
time to create 1 rle with old method : 0.0021905899047851562
.time for calcul the mask position with numpy : 0.00041294097900390625
nb_pixel_total : 1157
time to create 1 rle with old method : 0.002052783966064453
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 2
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -13, 'hashtag_id': 2087736828, 'type': 529, 'x0': 258, 'x1': 294, 'y0': 1, 'y1': 52, 'score': 1.0, 'id': None, 'points': ['287,41,279,50,269,52,262,49,258,39,259,26,265,13,273,4,282,1,290,5,294,15,293,28'], 'sub_photo_id': 0, 'rles': [(-1, 281, 1, 2), (-1, 278, 2, 7), (-1, 275, 3, 12), (-1, 273, 4, 16), (-1, 272, 5, 19), (-1, 271, 6, 20), (-1, 270, 7, 22), (-1, 269, 8, 23), (-1, 269, 9, 24), (-1, 268, 10, 25), (-1, 267, 11, 26), (-1, 266, 12, 28), (-1, 265, 13, 29), (-1, 265, 14, 30), (-1, 264, 15, 31), (-1, 264, 16, 31), (-1, 263, 17, 32), (-1, 263, 18, 32), (-1, 262, 19, 33), (-1, 262, 20, 33), (-1, 261, 21, 34), (-1, 261, 22, 33), (-1, 260, 23, 34), (-1, 260, 24, 34), (-1, 259, 25, 35), (-1, 259, 26, 35), (-1, 259, 27, 35), (-1, 259, 28, 35), (-1, 259, 29, 35), (-1, 259, 30, 34), (-1, 259, 31, 34), (-1, 259, 32, 33), (-1, 258, 33, 34), (-1, 258, 34, 33), (-1, 258, 35, 33), (-1, 258, 36, 32), (-1, 258, 37, 32), (-1, 258, 38, 31), (-1, 258, 39, 31), (-1, 258, 40, 30), (-1, 259, 41, 29), (-1, 259, 42, 28), (-1, 260, 43, 26), (-1, 260, 44, 25), (-1, 260, 45, 24), (-1, 261, 46, 23), (-1, 261, 47, 22), (-1, 262, 48, 20), (-1, 262, 49, 19), (-1, 264, 50, 16), (-1, 266, 51, 11), (-1, 268, 52, 4)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -13, 'hashtag_id': 2087736828, 'type': 529, 'x0': 263, 'x1': 306, 'y0': 107, 'y1': 146, 'score': 1.0, 'id': None, 'points': ['275,107,287,110,297,119,304,129,306,138,303,145,294,146,283,143,272,134,265,124,263,115,267,108'], 'sub_photo_id': 0, 'rles': [(-1, 271, 107, 6), (-1, 267, 108, 14), (-1, 266, 109, 19), (-1, 266, 110, 22), (-1, 265, 111, 24), (-1, 265, 112, 25), (-1, 264, 113, 27), (-1, 264, 114, 28), (-1, 263, 115, 31), (-1, 263, 116, 32), (-1, 263, 117, 33), (-1, 264, 118, 33), (-1, 264, 119, 34), (-1, 264, 120, 35), (-1, 264, 121, 35), (-1, 265, 122, 35), (-1, 265, 123, 36), (-1, 265, 124, 37), (-1, 266, 125, 36), (-1, 266, 126, 37), (-1, 267, 127, 37), (-1, 268, 128, 36), (-1, 269, 129, 36), (-1, 269, 130, 36), (-1, 270, 131, 35), (-1, 271, 132, 35), (-1, 271, 133, 35), (-1, 272, 134, 34), (-1, 273, 135, 33), (-1, 274, 136, 33), (-1, 276, 137, 31), (-1, 277, 138, 30), (-1, 278, 139, 29), (-1, 279, 140, 27), (-1, 280, 141, 26), (-1, 282, 142, 23), (-1, 283, 143, 22), (-1, 285, 144, 19), (-1, 289, 145, 15), (-1, 293, 146, 6)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 195 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 195
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[-0.96592583 -0.25881905]
 [ 0.25881905 -0.96592583]]
195
[[-0.96592583 -0.25881905]
 [ 0.25881905 -0.96592583]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0004105567932128906
nb_pixel_total : 727
time to create 1 rle with old method : 0.0011281967163085938
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.000423431396484375
nb_pixel_total : 1162
time to create 1 rle with old method : 0.0018436908721923828
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -14, 'hashtag_id': 2087736828, 'type': 529, 'x0': 248, 'x1': 296, 'y0': 78, 'y1': 111, 'score': 1.0, 'id': None, 'points': ['257,78,269,77,281,83,291,91,295,99,294,107,285,110,274,110,261,104,252,97,247,88,249,81'], 'sub_photo_id': 0, 'rles': [(-1, 256, 78, 15), (-1, 254, 79, 19), (-1, 253, 80, 22), (-1, 250, 81, 28), (-1, 249, 82, 30), (-1, 249, 83, 32), (-1, 249, 84, 34), (-1, 249, 85, 35), (-1, 249, 86, 36), (-1, 248, 87, 39), (-1, 249, 88, 39), (-1, 248, 89, 41), (-1, 248, 90, 43), (-1, 248, 91, 43), (-1, 250, 92, 42), (-1, 250, 93, 42), (-1, 250, 94, 43), (-1, 251, 95, 43), (-1, 252, 96, 42), (-1, 252, 97, 43), (-1, 253, 98, 43), (-1, 254, 99, 42), (-1, 256, 100, 40), (-1, 257, 101, 40), (-1, 258, 102, 38), (-1, 259, 103, 37), (-1, 260, 104, 36), (-1, 261, 105, 35), (-1, 263, 106, 32), (-1, 266, 107, 29), (-1, 268, 108, 27), (-1, 270, 109, 21), (-1, 271, 110, 1), (-1, 273, 110, 18), (-1, 275, 111, 9), (-1, 285, 111, 3)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 210 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 210
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[-0.8660254 -0.5      ]
 [ 0.5       -0.8660254]]
210
[[-0.8660254 -0.5      ]
 [ 0.5       -0.8660254]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0003750324249267578
nb_pixel_total : 250
time to create 1 rle with old method : 0.0004220008850097656
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.0003368854522705078
nb_pixel_total : 1155
time to create 1 rle with old method : 0.001495361328125
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -15, 'hashtag_id': 2087736828, 'type': 529, 'x0': 227, 'x1': 276, 'y0': 52, 'y1': 82, 'score': 1.0, 'id': None, 'points': ['233,55,245,51,258,54,269,59,275,66,276,74,269,79,258,82,244,80,232,74,226,68,226,60'], 'sub_photo_id': 0, 'rles': [(-1, 244, 52, 3), (-1, 240, 53, 11), (-1, 252, 53, 2), (-1, 237, 54, 21), (-1, 233, 55, 28), (-1, 231, 56, 31), (-1, 230, 57, 35), (-1, 230, 58, 37), (-1, 228, 59, 41), (-1, 227, 60, 43), (-1, 227, 61, 44), (-1, 227, 62, 46), (-1, 227, 63, 46), (-1, 227, 64, 47), (-1, 227, 65, 49), (-1, 227, 66, 49), (-1, 227, 67, 50), (-1, 227, 68, 50), (-1, 227, 69, 50), (-1, 228, 70, 49), (-1, 229, 71, 48), (-1, 230, 72, 47), (-1, 231, 73, 46), (-1, 232, 74, 45), (-1, 233, 75, 43), (-1, 235, 76, 40), (-1, 237, 77, 36), (-1, 239, 78, 34), (-1, 242, 79, 30), (-1, 243, 80, 27), (-1, 247, 81, 1), (-1, 249, 81, 17), (-1, 253, 82, 9)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 225 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 225
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[-0.70710678 -0.70710678]
 [ 0.70710678 -0.70710678]]
225
[[-0.70710678 -0.70710678]
 [ 0.70710678 -0.70710678]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.00037217140197753906
nb_pixel_total : 169
time to create 1 rle with old method : 0.0003211498260498047
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.00034332275390625
nb_pixel_total : 1161
time to create 1 rle with old method : 0.001497030258178711
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -16, 'hashtag_id': 2087736828, 'type': 529, 'x0': 199, 'x1': 251, 'y0': 34, 'y1': 62, 'score': 1.0, 'id': None, 'points': ['204,40,214,34,228,33,240,35,247,40,250,47,245,54,235,60,221,61,209,59,201,54,199,46'], 'sub_photo_id': 0, 'rles': [(-1, 215, 34, 21), (-1, 214, 35, 25), (-1, 211, 36, 31), (-1, 210, 37, 34), (-1, 208, 38, 37), (-1, 207, 39, 41), (-1, 204, 40, 45), (-1, 203, 41, 47), (-1, 202, 42, 47), (-1, 201, 43, 49), (-1, 202, 44, 48), (-1, 201, 45, 50), (-1, 200, 46, 51), (-1, 199, 47, 52), (-1, 199, 48, 53), (-1, 200, 49, 51), (-1, 200, 50, 50), (-1, 200, 51, 49), (-1, 201, 52, 48), (-1, 201, 53, 47), (-1, 201, 54, 46), (-1, 201, 55, 45), (-1, 202, 56, 42), (-1, 205, 57, 38), (-1, 206, 58, 34), (-1, 208, 59, 31), (-1, 209, 60, 1), (-1, 211, 60, 26), (-1, 216, 61, 17), (-1, 220, 62, 5)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 240 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 240
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[-0.5       -0.8660254]
 [ 0.8660254 -0.5      ]]
240
[[-0.5       -0.8660254]
 [ 0.8660254 -0.5      ]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0003783702850341797
nb_pixel_total : 450
time to create 1 rle with old method : 0.0007784366607666016
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.00035119056701660156
nb_pixel_total : 1159
time to create 1 rle with old method : 0.001466989517211914
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
time for calcul the mask position with numpy : 0.00031757354736328125
nb_pixel_total : 1
time to create 1 rle with old method : 1.9550323486328125e-05
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -17, 'hashtag_id': 2087736828, 'type': 529, 'x0': 168, 'x1': 218, 'y0': 20, 'y1': 51, 'score': 1.0, 'id': None, 'points': ['171,33,179,24,192,20,204,19,213,22,218,28,214,36,206,44,193,49,180,51,172,48,168,41'], 'sub_photo_id': 0, 'rles': [(-1, 198, 20, 9), (-1, 208, 20, 1), (-1, 191, 21, 19), (-1, 187, 22, 27), (-1, 187, 23, 28), (-1, 183, 24, 33), (-1, 180, 25, 37), (-1, 179, 26, 38), (-1, 177, 27, 41), (-1, 177, 28, 42), (-1, 176, 29, 43), (-1, 175, 30, 43), (-1, 174, 31, 44), (-1, 173, 32, 44), (-1, 172, 33, 45), (-1, 171, 34, 46), (-1, 171, 35, 46), (-1, 170, 36, 46), (-1, 169, 37, 47), (-1, 170, 38, 45), (-1, 169, 39, 44), (-1, 169, 40, 44), (-1, 168, 41, 44), (-1, 168, 42, 42), (-1, 169, 43, 41), (-1, 170, 44, 39), (-1, 170, 45, 38), (-1, 171, 46, 34), (-1, 171, 47, 32), (-1, 172, 48, 28), (-1, 173, 49, 24), (-1, 177, 50, 18), (-1, 180, 51, 6), (-1, 188, 51, 1)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 255 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 255
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[-0.25881905 -0.96592583]
 [ 0.96592583 -0.25881905]]
255
[[-0.25881905 -0.96592583]
 [ 0.96592583 -0.25881905]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.00039649009704589844
nb_pixel_total : 1237
time to create 1 rle with old method : 0.0015561580657958984
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.0003521442413330078
nb_pixel_total : 1158
time to create 1 rle with old method : 0.0014600753784179688
. crop are not in the shrunk photo ! 
time for calcul the mask position with numpy : 0.0003170967102050781
nb_pixel_total : 234
time to create 1 rle with old method : 0.0003991127014160156
On the border
Smaller than minimal size ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -18, 'hashtag_id': 2087736828, 'type': 529, 'x0': 137, 'x1': 182, 'y0': 12, 'y1': 49, 'score': 1.0, 'id': None, 'points': ['137,34,143,24,155,16,166,12,175,13,181,17,180,26,174,36,163,44,151,49,142,48,136,42'], 'sub_photo_id': 0, 'rles': [(-1, 170, 12, 1), (-1, 164, 13, 14), (-1, 161, 14, 17), (-1, 160, 15, 19), (-1, 156, 16, 25), (-1, 155, 17, 27), (-1, 153, 18, 30), (-1, 151, 19, 32), (-1, 150, 20, 32), (-1, 149, 21, 33), (-1, 147, 22, 35), (-1, 146, 23, 36), (-1, 144, 24, 38), (-1, 144, 25, 38), (-1, 143, 26, 39), (-1, 142, 27, 39), (-1, 142, 28, 39), (-1, 142, 29, 38), (-1, 140, 30, 40), (-1, 140, 31, 39), (-1, 140, 32, 38), (-1, 139, 33, 39), (-1, 138, 34, 39), (-1, 138, 35, 39), (-1, 138, 36, 38), (-1, 137, 37, 38), (-1, 137, 38, 36), (-1, 137, 39, 36), (-1, 138, 40, 33), (-1, 137, 41, 32), (-1, 137, 42, 31), (-1, 137, 43, 30), (-1, 137, 44, 29), (-1, 139, 45, 25), (-1, 139, 46, 22), (-1, 141, 47, 18), (-1, 142, 48, 14), (-1, 143, 49, 10)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 270 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 270
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[-1.8369702e-16 -1.0000000e+00]
 [ 1.0000000e+00 -1.8369702e-16]]
270
[[-1.8369702e-16 -1.0000000e+00]
 [ 1.0000000e+00 -1.8369702e-16]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0003082752227783203
nb_pixel_total : 1389
time to create 1 rle with old method : 0.0016589164733886719
.time for calcul the mask position with numpy : 0.00033354759216308594
nb_pixel_total : 1157
time to create 1 rle with old method : 0.0014698505401611328
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 2
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -19, 'hashtag_id': 2087736828, 'type': 529, 'x0': 1, 'x1': 52, 'y0': 26, 'y1': 62, 'score': 1.0, 'id': None, 'points': ['41,32,50,40,52,50,49,57,39,61,26,60,13,54,4,46,1,37,5,29,15,25,28,26'], 'sub_photo_id': 0, 'rles': [(-1, 14, 26, 8), (-1, 12, 27, 18), (-1, 9, 28, 23), (-1, 7, 29, 27), (-1, 5, 30, 31), (-1, 5, 31, 33), (-1, 4, 32, 36), (-1, 4, 33, 38), (-1, 3, 34, 40), (-1, 3, 35, 41), (-1, 2, 36, 43), (-1, 2, 37, 45), (-1, 1, 38, 47), (-1, 1, 39, 48), (-1, 2, 40, 48), (-1, 2, 41, 49), (-1, 2, 42, 49), (-1, 3, 43, 48), (-1, 3, 44, 49), (-1, 3, 45, 49), (-1, 4, 46, 48), (-1, 4, 47, 48), (-1, 5, 48, 47), (-1, 6, 49, 47), (-1, 7, 50, 46), (-1, 8, 51, 45), (-1, 10, 52, 43), (-1, 11, 53, 41), (-1, 12, 54, 40), (-1, 13, 55, 38), (-1, 15, 56, 36), (-1, 17, 57, 33), (-1, 19, 58, 31), (-1, 21, 59, 27), (-1, 23, 60, 23), (-1, 25, 61, 18), (-1, 33, 62, 8)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -19, 'hashtag_id': 2087736828, 'type': 529, 'x0': 107, 'x1': 146, 'y0': 14, 'y1': 57, 'score': 1.0, 'id': None, 'points': ['107,44,110,32,119,22,129,15,138,13,144,16,145,25,143,36,134,47,124,54,115,56,108,52'], 'sub_photo_id': 0, 'rles': [(-1, 136, 14, 4), (-1, 132, 15, 10), (-1, 129, 16, 15), (-1, 127, 17, 19), (-1, 126, 18, 20), (-1, 124, 19, 22), (-1, 123, 20, 23), (-1, 122, 21, 24), (-1, 120, 22, 27), (-1, 119, 23, 28), (-1, 118, 24, 29), (-1, 117, 25, 30), (-1, 116, 26, 31), (-1, 115, 27, 32), (-1, 115, 28, 31), (-1, 114, 29, 32), (-1, 113, 30, 33), (-1, 112, 31, 34), (-1, 111, 32, 34), (-1, 110, 33, 35), (-1, 110, 34, 35), (-1, 110, 35, 35), (-1, 109, 36, 35), (-1, 109, 37, 35), (-1, 109, 38, 34), (-1, 109, 39, 33), (-1, 108, 40, 34), (-1, 108, 41, 33), (-1, 108, 42, 32), (-1, 108, 43, 31), (-1, 107, 44, 31), (-1, 107, 45, 30), (-1, 107, 46, 30), (-1, 107, 47, 29), (-1, 107, 48, 28), (-1, 107, 49, 27), (-1, 108, 50, 24), (-1, 108, 51, 23), (-1, 108, 52, 21), (-1, 108, 53, 20), (-1, 109, 54, 18), (-1, 111, 55, 14), (-1, 113, 56, 9), (-1, 115, 57, 3)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 285 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 285
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[ 0.25881905 -0.96592583]
 [ 0.96592583  0.25881905]]
285
[[ 0.25881905 -0.96592583]
 [ 0.96592583  0.25881905]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0003523826599121094
nb_pixel_total : 727
time to create 1 rle with old method : 0.0012199878692626953
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.00034618377685546875
nb_pixel_total : 1162
time to create 1 rle with old method : 0.0019142627716064453
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -20, 'hashtag_id': 2087736828, 'type': 529, 'x0': 78, 'x1': 111, 'y0': 24, 'y1': 72, 'score': 1.0, 'id': None, 'points': ['78,62,77,50,83,38,91,28,99,24,107,25,110,34,110,45,104,58,97,67,88,72,81,70'], 'sub_photo_id': 0, 'rles': [(-1, 101, 24, 1), (-1, 98, 25, 8), (-1, 97, 26, 12), (-1, 95, 27, 14), (-1, 94, 28, 15), (-1, 92, 29, 17), (-1, 90, 30, 21), (-1, 90, 31, 21), (-1, 89, 32, 22), (-1, 88, 33, 24), (-1, 87, 34, 25), (-1, 87, 35, 25), (-1, 86, 36, 25), (-1, 85, 37, 27), (-1, 84, 38, 28), (-1, 84, 39, 28), (-1, 83, 40, 29), (-1, 83, 41, 29), (-1, 82, 42, 30), (-1, 81, 43, 31), (-1, 81, 44, 31), (-1, 81, 45, 31), (-1, 80, 46, 31), (-1, 80, 47, 31), (-1, 79, 48, 31), (-1, 79, 49, 32), (-1, 78, 50, 32), (-1, 78, 51, 31), (-1, 78, 52, 31), (-1, 78, 53, 30), (-1, 78, 54, 30), (-1, 78, 55, 29), (-1, 78, 56, 29), (-1, 78, 57, 29), (-1, 78, 58, 28), (-1, 78, 59, 28), (-1, 78, 60, 27), (-1, 78, 61, 26), (-1, 78, 62, 25), (-1, 78, 63, 24), (-1, 78, 64, 23), (-1, 79, 65, 21), (-1, 79, 66, 21), (-1, 80, 67, 19), (-1, 81, 68, 17), (-1, 81, 69, 15), (-1, 81, 70, 14), (-1, 82, 71, 10), (-1, 87, 72, 1), (-1, 89, 72, 3)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 300 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 300
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[ 0.5       -0.8660254]
 [ 0.8660254  0.5      ]]
300
[[ 0.5       -0.8660254]
 [ 0.8660254  0.5      ]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0004239082336425781
nb_pixel_total : 250
time to create 1 rle with old method : 0.0004353523254394531
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.0003440380096435547
nb_pixel_total : 1155
time to create 1 rle with old method : 0.0019278526306152344
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -21, 'hashtag_id': 2087736828, 'type': 529, 'x0': 52, 'x1': 82, 'y0': 44, 'y1': 93, 'score': 1.0, 'id': None, 'points': ['55,86,51,74,54,61,59,50,66,44,74,43,79,50,82,61,80,75,74,87,68,93,60,93'], 'sub_photo_id': 0, 'rles': [(-1, 67, 44, 8), (-1, 65, 45, 11), (-1, 65, 46, 12), (-1, 64, 47, 13), (-1, 62, 48, 17), (-1, 62, 49, 18), (-1, 61, 50, 19), (-1, 60, 51, 21), (-1, 59, 52, 22), (-1, 59, 53, 22), (-1, 58, 54, 23), (-1, 58, 55, 24), (-1, 57, 56, 25), (-1, 57, 57, 25), (-1, 57, 58, 25), (-1, 56, 59, 27), (-1, 55, 60, 28), (-1, 55, 61, 28), (-1, 55, 62, 28), (-1, 54, 63, 29), (-1, 54, 64, 29), (-1, 54, 65, 29), (-1, 54, 66, 29), (-1, 53, 67, 30), (-1, 53, 68, 29), (-1, 54, 69, 28), (-1, 53, 70, 29), (-1, 53, 71, 29), (-1, 53, 72, 28), (-1, 53, 73, 29), (-1, 52, 74, 29), (-1, 52, 75, 29), (-1, 52, 76, 29), (-1, 53, 77, 28), (-1, 53, 78, 27), (-1, 53, 79, 26), (-1, 53, 80, 26), (-1, 54, 81, 25), (-1, 54, 82, 24), (-1, 54, 83, 24), (-1, 55, 84, 22), (-1, 55, 85, 22), (-1, 55, 86, 21), (-1, 55, 87, 21), (-1, 56, 88, 19), (-1, 56, 89, 18), (-1, 57, 90, 16), (-1, 59, 91, 13), (-1, 59, 92, 12), (-1, 60, 93, 10)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 315 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 315
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[ 0.70710678 -0.70710678]
 [ 0.70710678  0.70710678]]
315
[[ 0.70710678 -0.70710678]
 [ 0.70710678  0.70710678]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.00033473968505859375
nb_pixel_total : 169
time to create 1 rle with old method : 0.000301361083984375
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.00035262107849121094
nb_pixel_total : 1161
time to create 1 rle with old method : 0.0019407272338867188
. crop are not in the shrunk photo ! 
 crop are not in the shrunk photo ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -22, 'hashtag_id': 2087736828, 'type': 529, 'x0': 34, 'x1': 62, 'y0': 69, 'y1': 121, 'score': 1.0, 'id': None, 'points': ['40,115,34,105,33,91,35,79,40,72,47,69,54,74,60,84,61,98,59,110,54,118,46,120'], 'sub_photo_id': 0, 'rles': [(-1, 48, 69, 1), (-1, 45, 70, 5), (-1, 41, 71, 1), (-1, 43, 71, 8), (-1, 40, 72, 13), (-1, 39, 73, 15), (-1, 39, 74, 16), (-1, 39, 75, 17), (-1, 38, 76, 18), (-1, 37, 77, 20), (-1, 37, 78, 21), (-1, 36, 79, 22), (-1, 36, 80, 22), (-1, 36, 81, 23), (-1, 35, 82, 25), (-1, 35, 83, 25), (-1, 35, 84, 26), (-1, 34, 85, 27), (-1, 34, 86, 27), (-1, 34, 87, 27), (-1, 34, 88, 28), (-1, 34, 89, 28), (-1, 34, 90, 28), (-1, 34, 91, 28), (-1, 34, 92, 28), (-1, 34, 93, 28), (-1, 34, 94, 28), (-1, 34, 95, 28), (-1, 34, 96, 29), (-1, 34, 97, 29), (-1, 34, 98, 29), (-1, 34, 99, 29), (-1, 34, 100, 29), (-1, 34, 101, 28), (-1, 34, 102, 28), (-1, 34, 103, 28), (-1, 34, 104, 28), (-1, 34, 105, 27), (-1, 35, 106, 26), (-1, 36, 107, 25), (-1, 36, 108, 25), (-1, 36, 109, 25), (-1, 37, 110, 23), (-1, 38, 111, 23), (-1, 38, 112, 22), (-1, 39, 113, 20), (-1, 40, 114, 19), (-1, 40, 115, 18), (-1, 40, 116, 17), (-1, 41, 117, 16), (-1, 42, 118, 15), (-1, 43, 119, 1), (-1, 45, 119, 11), (-1, 46, 120, 6), (-1, 47, 121, 2)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 330 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 330
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[ 0.8660254 -0.5      ]
 [ 0.5        0.8660254]]
330
[[ 0.8660254 -0.5      ]
 [ 0.5        0.8660254]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.00033974647521972656
nb_pixel_total : 450
time to create 1 rle with old method : 0.0007643699645996094
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.0003509521484375
nb_pixel_total : 1159
time to create 1 rle with old method : 0.0019273757934570312
. crop are not in the shrunk photo ! 
On the border
Smaller than minimal size ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -23, 'hashtag_id': 2087736828, 'type': 529, 'x0': 20, 'x1': 51, 'y0': 102, 'y1': 152, 'score': 1.0, 'id': None, 'points': ['33,148,24,140,20,127,19,115,22,106,28,101,36,105,44,113,49,126,51,139,48,147,41,151'], 'sub_photo_id': 0, 'rles': [(-1, 28, 102, 2), (-1, 27, 103, 5), (-1, 25, 104, 11), (-1, 24, 105, 14), (-1, 23, 106, 16), (-1, 22, 107, 17), (-1, 22, 108, 19), (-1, 22, 109, 20), (-1, 22, 110, 20), (-1, 21, 111, 23), (-1, 20, 112, 25), (-1, 21, 113, 25), (-1, 20, 114, 26), (-1, 20, 115, 26), (-1, 20, 116, 27), (-1, 20, 117, 27), (-1, 20, 118, 28), (-1, 20, 119, 28), (-1, 20, 120, 28), (-1, 20, 121, 29), (-1, 20, 122, 29), (-1, 21, 123, 28), (-1, 21, 124, 29), (-1, 21, 125, 29), (-1, 21, 126, 30), (-1, 21, 127, 30), (-1, 21, 128, 30), (-1, 21, 129, 30), (-1, 22, 130, 29), (-1, 22, 131, 29), (-1, 22, 132, 30), (-1, 22, 133, 29), (-1, 24, 134, 27), (-1, 24, 135, 28), (-1, 24, 136, 28), (-1, 24, 137, 28), (-1, 25, 138, 27), (-1, 25, 139, 27), (-1, 25, 140, 27), (-1, 26, 141, 25), (-1, 27, 142, 24), (-1, 27, 143, 24), (-1, 29, 144, 21), (-1, 30, 145, 20), (-1, 31, 146, 19), (-1, 32, 147, 18), (-1, 33, 148, 16), (-1, 34, 149, 14), (-1, 36, 150, 10), (-1, 37, 151, 1), (-1, 39, 151, 5), (-1, 41, 152, 2)], 'hashtag': '', 'sum_segment': 0}
Rotation of photo 1339751224 of 345 degree
temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffca30>] 345
 remove_crop_border : True
version de PIL : 9.5.0
Needs to change image size !
[[ 0.96592583 -0.25881905]
 [ 0.25881905  0.96592583]]
345
[[ 0.96592583 -0.25881905]
 [ 0.25881905  0.96592583]]
 shrink_image : True
 len(list_crops) : 4
time for calcul the mask position with numpy : 0.0004048347473144531
nb_pixel_total : 1237
time to create 1 rle with old method : 0.0021033287048339844
On the border
Smaller than minimal size ! 
time for calcul the mask position with numpy : 0.0003597736358642578
nb_pixel_total : 1157
time to create 1 rle with old method : 0.019060611724853516
. crop are not in the shrunk photo ! 
time for calcul the mask position with numpy : 0.0003287792205810547
nb_pixel_total : 234
time to create 1 rle with old method : 0.0004100799560546875
On the border
Smaller than minimal size ! 
len(list_crops_rotate) : 1
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -24, 'hashtag_id': 2087736828, 'type': 529, 'x0': 12, 'x1': 49, 'y0': 138, 'y1': 183, 'score': 1.0, 'id': None, 'points': ['34,182,24,176,16,164,12,153,13,144,17,138,26,139,36,145,44,156,49,168,48,177,42,183'], 'sub_photo_id': 0, 'rles': [(-1, 18, 138, 2), (-1, 17, 139, 10), (-1, 16, 140, 13), (-1, 16, 141, 15), (-1, 15, 142, 17), (-1, 13, 143, 21), (-1, 13, 144, 23), (-1, 13, 145, 24), (-1, 13, 146, 25), (-1, 13, 147, 25), (-1, 13, 148, 27), (-1, 13, 149, 27), (-1, 12, 150, 29), (-1, 13, 151, 28), (-1, 13, 152, 29), (-1, 13, 153, 30), (-1, 13, 154, 31), (-1, 13, 155, 32), (-1, 13, 156, 32), (-1, 14, 157, 32), (-1, 14, 158, 32), (-1, 14, 159, 32), (-1, 15, 160, 32), (-1, 16, 161, 31), (-1, 16, 162, 32), (-1, 16, 163, 32), (-1, 16, 164, 32), (-1, 17, 165, 32), (-1, 18, 166, 31), (-1, 18, 167, 31), (-1, 19, 168, 31), (-1, 19, 169, 31), (-1, 20, 170, 30), (-1, 21, 171, 29), (-1, 22, 172, 28), (-1, 22, 173, 28), (-1, 23, 174, 27), (-1, 24, 175, 26), (-1, 24, 176, 26), (-1, 26, 177, 24), (-1, 27, 178, 22), (-1, 30, 179, 18), (-1, 30, 180, 17), (-1, 33, 181, 14), (-1, 34, 182, 11), (-1, 37, 183, 3), (-1, 41, 183, 3)], 'hashtag': '', 'sum_segment': 0}

About to upload 24 photos
upload in portfolio : 20846825
init cache_photo without model_param  
we have 24 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1740584331_3116993
we have uploaded 24 photos in the portfolio 20846825

time of upload the photos Elapsed time : 9.282705068588257

 map_filename_photo_id : 24
 map_filename_photo_id : {'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_00.jpg': 1339751233, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_015.jpg': 1339751234, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_030.jpg': 1339751235, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_045.jpg': 1339751236, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_060.jpg': 1339751237, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_075.jpg': 1339751238, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_090.jpg': 1339751239, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0105.jpg': 1339751240, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0120.jpg': 1339751241, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0135.jpg': 1339751243, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0150.jpg': 1339751245, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0165.jpg': 1339751246, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0180.jpg': 1339751247, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0195.jpg': 1339751248, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0210.jpg': 1339751249, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0225.jpg': 1339751250, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0240.jpg': 1339751251, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0255.jpg': 1339751252, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0270.jpg': 1339751253, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0285.jpg': 1339751254, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0300.jpg': 1339751255, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0315.jpg': 1339751256, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0330.jpg': 1339751257, 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0345.jpg': 1339751258}
Len new_chis : 24
Len list_new_chi_with_photo_id : 28 of type : 529
 list_new_chi_with_photo_id : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc820>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc0a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2144c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2145e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214a30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2143d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214fa0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2149a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214c40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214a00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214ee0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214ac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214820>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf278e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcdc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf273d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf276d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf270d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f68df6f10>]
batch 1
Loaded 28 chid ids of type : 529
Number RLEs to save : 1197
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 28 chid ids of type : 529
++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 12.622628927230835
time spend to save output : 8.702278137207031e-05
total time spend for step 3 : 12.622715950012207

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : rotate we use saveGeneral 
[937852786, 937852786, '1339751224']
 map_info['map_portfolio_photo'] : {}
 final :  True mtd_id 243 list_pids : [937852786, 937852786, '1339751224']
Looping around the photos to save general results
len do output : 24
/1339751233Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751234Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751235Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751236Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751237Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751238Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751239Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751240Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751241Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751243Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751245Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751246Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751247Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751248Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751249Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751250Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751251Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751252Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751253Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751254Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751255Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751256Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751257Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751258Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2becffc3d0>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2becffcfa0>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2becffc040>
Managing all output in save final without adding information in the mtr_datou_result 
('243', None, None, None, None, None, None, None, None)
('243', None, '937852786', None, None, None, None, None, None)
('243', None, None, None, None, None, None, None, None)
('243', None, '937852786', None, None, None, None, None, None)
('243', None, None, None, None, None, None, None, None)
('243', None, '1339751224', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 75
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('243', None, '1339751233', 'None', None, None, None, None, None), ('243', None, '1339751234', 'None', None, None, None, None, None), ('243', None, '1339751235', 'None', None, None, None, None, None), ('243', None, '1339751236', 'None', None, None, None, None, None), ('243', None, '1339751237', 'None', None, None, None, None, None), ('243', None, '1339751238', 'None', None, None, None, None, None), ('243', None, '1339751239', 'None', None, None, None, None, None), ('243', None, '1339751240', 'None', None, None, None, None, None), ('243', None, '1339751241', 'None', None, None, None, None, None), ('243', None, '1339751243', 'None', None, None, None, None, None), ('243', None, '1339751245', 'None', None, None, None, None, None), ('243', None, '1339751246', 'None', None, None, None, None, None), ('243', None, '1339751247', 'None', None, None, None, None, None), ('243', None, '1339751248', 'None', None, None, None, None, None), ('243', None, '1339751249', 'None', None, None, None, None, None), ('243', None, '1339751250', 'None', None, None, None, None, None), ('243', None, '1339751251', 'None', None, None, None, None, None), ('243', None, '1339751252', 'None', None, None, None, None, None), ('243', None, '1339751253', 'None', None, None, None, None, None), ('243', None, '1339751254', 'None', None, None, None, None, None), ('243', None, '1339751255', 'None', None, None, None, None, None), ('243', None, '1339751256', 'None', None, None, None, None, None), ('243', None, '1339751257', 'None', None, None, None, None, None), ('243', None, '1339751258', 'None', None, None, None, None, None), ('243', None, '937852786', None, None, None, None, None, None), ('243', None, '1339751224', None, None, None, None, None, None)]
time used for this insertion : 0.018750667572021484
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 3
 output : {1339751233: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_00.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc790>]], 1339751234: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_015.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc820>]], 1339751235: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_030.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc100>]], 1339751236: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_045.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc0a0>]], 1339751237: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_060.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2144c0>]], 1339751238: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_075.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2145e0>]], 1339751239: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_090.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214a30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2143d0>]], 1339751240: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0105.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214490>]], 1339751241: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0120.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214fa0>]], 1339751243: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0135.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2149a0>]], 1339751245: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0150.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214550>]], 1339751246: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0165.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214c40>]], 1339751247: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0180.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214a00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214880>]], 1339751248: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0195.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214100>]], 1339751249: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0210.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214250>]], 1339751250: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0225.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214ee0>]], 1339751251: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0240.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214ac0>]], 1339751252: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0255.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214820>]], 1339751253: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0270.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf278e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214970>]], 1339751254: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0285.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcdc0>]], 1339751255: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0300.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf273d0>]], 1339751256: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0315.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf276d0>]], 1339751257: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0330.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf270d0>]], 1339751258: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0345.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2f68df6f10>]]}
 ret_da : {1339751233: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_00.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc790>]], 1339751234: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_015.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc820>]], 1339751235: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_030.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc100>]], 1339751236: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_045.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc0a0>]], 1339751237: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_060.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2144c0>]], 1339751238: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_075.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2145e0>]], 1339751239: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_090.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214a30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2143d0>]], 1339751240: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0105.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214490>]], 1339751241: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0120.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214fa0>]], 1339751243: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0135.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2149a0>]], 1339751245: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0150.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214550>]], 1339751246: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0165.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214c40>]], 1339751247: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0180.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214a00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214880>]], 1339751248: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0195.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214100>]], 1339751249: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0210.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214250>]], 1339751250: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0225.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214ee0>]], 1339751251: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0240.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214ac0>]], 1339751252: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0255.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214820>]], 1339751253: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0270.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf278e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214970>]], 1339751254: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0285.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcdc0>]], 1339751255: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0300.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf273d0>]], 1339751256: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0315.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf276d0>]], 1339751257: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0330.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf270d0>]], 1339751258: ['937852786', 'temp/1740584296_3116993_937852786_7d9a231a08a1c63d0868e56a5361bf67_0345.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2f68df6f10>]]}
list chi :  [[<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc790>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc820>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc100>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffc0a0>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2144c0>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2145e0>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214a30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2143d0>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214490>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214fa0>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee2149a0>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214550>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214c40>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214a00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214880>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214100>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214250>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214ee0>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214ac0>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214820>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf278e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee214970>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becffcdc0>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf273d0>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf276d0>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf270d0>], [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2f68df6f10>]]

############################### TEST flip  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=571

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=571
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 571
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=571
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : flip
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (911785586) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 911785586
download finish for photo 911785586
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.11443090438842773
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:flip
Wed Feb 26 16:39:01 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584341_3116993_911785586_d8582feabcd359151ff718b5832248c7-big.jpg': 911785586}
map_photo_id_path_extension : {911785586: {'path': 'temp/1740584341_3116993_911785586_d8582feabcd359151ff718b5832248c7-big.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step_flip !
We are in a linear step without datou_depend !
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 911785586) and `type` in (741) 
Loaded 6 chid ids of type : 741
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (18344206,18344211,18344210,18344209,18344208,18344207)
+++++WARNING : Unexpected points, we should remove this data for chi_id : 18344210, for now we just ignore these empty polygon points 
+SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (18344206,18344211,18344210,18344209,18344208,18344207)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (18344206,18344211,18344210,18344209,18344208,18344207)
 map_chi_objs : {911785586: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2d38582880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f68df6d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f68df6fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f68df6cd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f68df6f10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2d76eaf880>]}
 photo_id in download_rotate_and_save : 911785586 list_chi_loc : 6
Vertical flip of photo 911785586
version de PIL : 9.5.0
vertically flipped image is saved in temp/1740584341_3116993_911785586_d8582feabcd359151ff718b5832248c7-big_flip_vert.jpg
Horizontal flip of photo 911785586
version de PIL : 9.5.0
horizontally flipped image is saved in temp/1740584341_3116993_911785586_d8582feabcd359151ff718b5832248c7-big_flip_hori.jpg

About to upload 2 photos
upload in portfolio : 1090565
init cache_photo without model_param  
we have 2 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1740584341_3116993
we have uploaded 2 photos in the portfolio 1090565

time of upload the photos Elapsed time : 1.1227295398712158

 map_filename_photo_id : 2
 map_filename_photo_id : {'temp/1740584341_3116993_911785586_d8582feabcd359151ff718b5832248c7-big_flip_vert.jpg': 1339751263, 'temp/1740584341_3116993_911785586_d8582feabcd359151ff718b5832248c7-big_flip_hori.jpg': 1339751264}
Len new_chis : 12
Len list_new_chi_with_photo_id : 12 of type : 741
 list_new_chi_with_photo_id : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2b17edc550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2d76eaff10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed0287f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed028040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed028490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed028b80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed028b50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed028fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed028f40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3f7c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3fac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3f640>]
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 12 chid ids of type : 741
INSERT IGNORE INTO MTRPhoto.crop_polygon_points (`crop_hashtag_id`, `points`) VALUES (%s, %s)
Number RLEs to save : 0
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 1.2341508865356445
time spend to save output : 7.367134094238281e-05
total time spend for step 1 : 1.234224557876587

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : flip we use saveGeneral 
[911785586]
 map_info['map_portfolio_photo'] : {}
 final :  True mtd_id 571 list_pids : [911785586]
Looping around the photos to save general results
len do output : 2
/1339751263
/1339751264
before output type
Managing all output in save final without adding information in the mtr_datou_result 
('571', None, None, None, None, None, None, None, None)
('571', None, '911785586', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('571', None, '911785586', None, None, None, None, None, None)]
time used for this insertion : 0.011741876602172852
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {'1339751263': ['911785586', 'temp/1740584341_3116993_911785586_d8582feabcd359151ff718b5832248c7-big_flip_vert.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2b17edc550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2d76eaff10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed0287f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed028040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed028490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed028b80>]], '1339751264': ['911785586', 'temp/1740584341_3116993_911785586_d8582feabcd359151ff718b5832248c7-big_flip_hori.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed028b50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed028fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed028f40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3f7c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3fac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3f640>]]}

############################### TEST crop_rles  ################################
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
Unexpected type seems boolean for variable list_input_json
ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0)
 Tried to parse : 
TEST CROP RLES
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=686

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=686
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 686
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=686
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : crop
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (950103132) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 950103132
download finish for photo 950103132
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.14232397079467773
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:crop
Wed Feb 26 16:39:02 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00.jpg': 950103132}
map_photo_id_path_extension : {950103132: {'path': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step Crop !
param_json : {'photo_hashtag_type': 755, 'token': '78d09a0790ec6ecbf119343125a81fdc', 'feed_id_new_photos': 0, 'host': 'www.fotonower.com', 'crop_type': 'rle', 'margin_relative': 0.1, 'min_score': 0.3, 'upload,type': 'python'}
margin_type : margin_relative
margin_value : [0.1, 0.1, 0.1, 0.1]


Loading chi in step crop with photo_hashtag_type : 755
Loading chi in step crop for list_pids : 1 !
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 950103132) and `type` in (755)  and score>0.3
Loaded 8 chid ids of type : 755
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947670931,1947670932,1947670933,1947670934,1947670935,1947670936,1947670937,1947670938)
++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947670931,1947670932,1947670933,1947670934,1947670935,1947670936,1947670937,1947670938)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947670931,1947670932,1947670933,1947670934,1947670935,1947670936,1947670937,1947670938)
select photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type, id from MTRPhoto.photo_sub_photos  where photo_id in ( 950103132) 
WARNING : margin is only used for type bib !

type of cropped photo chosen : rle
we resize croppped photo by 1 on x axis and by 1 on y axis
we have both polygon and rles
Here we manage rles !
we have both polygon and rles
Here we manage rles !
we have both polygon and rles
Here we manage rles !
we have both polygon and rles
Here we manage rles !
we have both polygon and rles
Here we manage rles !
we have both polygon and rles
Here we manage rles !
we have both polygon and rles
Here we manage rles !
we have both polygon and rles
Here we manage rles !
 map_result returned by crop_photo_return_map_crop : length : 8
map_result after crop : {1947670931: {'crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670931_0.jpg', 'coordonates': (183, 199, 15, 41), 'sub_photo_id': -1, 'same_chi': False}, 1947670932: {'crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670932_0.jpg', 'coordonates': (38, 85, 113, 140), 'sub_photo_id': -1, 'same_chi': False}, 1947670933: {'crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670933_0.jpg', 'coordonates': (168, 194, 141, 151), 'sub_photo_id': -1, 'same_chi': False}, 1947670934: {'crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670934_0.jpg', 'coordonates': (47, 101, 16, 110), 'sub_photo_id': -1, 'same_chi': False}, 1947670935: {'crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670935_0.jpg', 'coordonates': (175, 199, 104, 111), 'sub_photo_id': -1, 'same_chi': False}, 1947670936: {'crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670936_0.jpg', 'coordonates': (86, 130, 184, 196), 'sub_photo_id': -1, 'same_chi': False}, 1947670937: {'crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670937_0.jpg', 'coordonates': (79, 195, 0, 61), 'sub_photo_id': -1, 'same_chi': False}, 1947670938: {'crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670938_0.jpg', 'coordonates': (131, 155, 181, 195), 'sub_photo_id': -1, 'same_chi': False}}
Here we crop with rles
 About to insert : list_path_to_insert length 8 new photo from crops !

About to upload 8 photos
https://marlene.fotonower.com/api/v1/secured/portfolio/new?access_token=78d09a0790ec6ecbf119343125a81fdc
upload in portfolio : 20846826
in upload media
 Upload medias :  ['temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg', 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg', 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg', 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg', 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg', 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg', 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg', 'temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=78d09a0790ec6ecbf119343125a81fdc&datou=0
temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg
temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg
temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg
temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg
temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg
temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg
temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg
temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg
after data_to_send, before sending request
after request
<Response [200]>
b'{"photo_ids":[],"photo_ids_order":[],"photo_detail":[],"map_files_photo_id":{},"map_files_photo_id_array":[],"portfolio_id":20846827,"hashtag_by_photo_ids":[],"comms":"Portfolio 20846827 used, photo_id : ArrayBuffer()","result":[],"list_datou_current":[]}'
Result OK !

uploaded one batch 0 Elapsed time : 5.435633659362793

map_result_insert : {}
 Globalization didn't found path temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg in map_result_insert
 CONSIDER SERIOUSLY !
 Globalization didn't found path temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg in map_result_insert
 CONSIDER SERIOUSLY !
 Globalization didn't found path temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg in map_result_insert
 CONSIDER SERIOUSLY !
 Globalization didn't found path temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg in map_result_insert
 CONSIDER SERIOUSLY !
 Globalization didn't found path temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg in map_result_insert
 CONSIDER SERIOUSLY !
 Globalization didn't found path temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg in map_result_insert
 CONSIDER SERIOUSLY !
 Globalization didn't found path temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg in map_result_insert
 CONSIDER SERIOUSLY !
 Globalization didn't found path temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg in map_result_insert
 CONSIDER SERIOUSLY !
Now we prepare data that will be used for ellipse search !
 chi_id found to be used  1947670931
 path of cropped varroa found to be used to match on an ellipse temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg
 chi_id found to be used  1947670932
 path of cropped varroa found to be used to match on an ellipse temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg
 chi_id found to be used  1947670933
 path of cropped varroa found to be used to match on an ellipse temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg
 chi_id found to be used  1947670934
 path of cropped varroa found to be used to match on an ellipse temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg
 chi_id found to be used  1947670935
 path of cropped varroa found to be used to match on an ellipse temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg
 chi_id found to be used  1947670936
 path of cropped varroa found to be used to match on an ellipse temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg
 chi_id found to be used  1947670937
 path of cropped varroa found to be used to match on an ellipse temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg
 chi_id found to be used  1947670938
 path of cropped varroa found to be used to match on an ellipse temp/1740584342_3116993_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
map of cropped photos with some data : 
{}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 5.480241537094116
time spend to save output : 4.482269287109375e-05
total time spend for step 1 : 5.480286359786987

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : crop we use saveGeneral 
[950103132]
 map_info['map_portfolio_photo'] : {}
 final :  True mtd_id 686 list_pids : [950103132]
Looping around the photos to save general results
len do output : 0
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bee214610>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bee214cd0>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bee214670>
Managing all output in save final without adding information in the mtr_datou_result 
('686', None, None, None, None, None, None, None, None)
('686', None, '950103132', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('686', None, '950103132', None, None, None, None, None, None)]
time used for this insertion : 0.014284610748291016
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {}
 ret_da : {}
8
 ERROR TEST CROP RLES Difference in size : ret_da_prev_reg : 8 and ret_da : 0
 ERROR TEST CROP RLES no filename with crop_id_to_hash 1947670932 FOUND 
 ERROR TEST CROP RLES different hash of same crop : hash_non_reg : f4e274dd08c90f327e74f1b91ebc5e43761642ac4456156033042a4b while hash_to_check : 741e1753b71b2b6b2879a507a69a00f8933bca84317a40e04a011d77
ERROR crop_rles FAILED

############################### TEST angular_coeff  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=852

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=852
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 852
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=852
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : angular_coeff
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (932296368) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 932296368
download finish for photo 932296368
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.15291380882263184
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:angular_coeff
Wed Feb 26 16:39:08 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584348_3116993_932296368_97c5e7b0f2830e550e2d6eeb248d8006.jpg': 932296368}
map_photo_id_path_extension : {932296368: {'path': 'temp/1740584348_3116993_932296368_97c5e7b0f2830e550e2d6eeb248d8006.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of step detection filter
 param_json : {'input_type': 846, 'output_type': -1, 'orientation_type': 872, 'ref_crop_type': 846, 'condition_crop': 'car', 'criteria_crop': 'center_rect', 'crops_coeffs': {'CAR_EXTERIEUR_angle_avant_droit.*': {'aile-avant': [[15, 0.0], [240, 0.0], [285, 1.0], [345, 1.0]], 'capot': [[45, 1.0], [60, 0.5], [270, 0.0], [315, 1.0], [360, 1.0]]}}}
angular_coefficients_to_crops
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 932296368) and `type` in (846) 
Loaded 19 chid ids of type : 846
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (769189713,769189714,769189715,769189716,769189717,769189718,769189721,769189723,769189724,769189725,769189727,769189729,769189730,769189732,769189733,769189734,769189737,769189738,769189739)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (769189713,769189714,769189715,769189716,769189717,769189718,769189721,769189723,769189724,769189725,769189727,769189729,769189730,769189732,769189733,769189734,769189737,769189738,769189739)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (769189713,769189714,769189715,769189716,769189717,769189718,769189721,769189723,769189724,769189725,769189727,769189729,769189730,769189732,769189733,769189734,769189737,769189738,769189739)
select distinct hashtag_id from MTRBack.photo_hashtag_ids where photo_id in (932296368) and type=872
 treating photo 932296368
select distinct hashtag_id from MTRBack.photo_hashtag_ids where photo_id in (932296368) and type=872

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.053261518478393555
time spend to save output : 3.0517578125e-05
total time spend for step 1 : 0.053292036056518555

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {932296368: ([(932296368, 2106233860, 846, 1066, 1277, 93, 340, 0.31964028378983567, 0, []), (932296368, 2106233860, 846, 434, 690, 218, 498, 0.7170410105787726, 0, []), (932296368, 503548896, 846, 902, 1111, 466, 576, 0.31724966, 769189715, []), (932296368, 599722655, 846, 523, 1100, 152, 337, 0.98039776, 0, []), (932296368, 492601069, 846, 143, 1190, 90, 695, 0.9696157, 769189717, []), (932296368, 492601069, 846, 0, 408, 246, 719, 0.9431181, 769189718, []), (932296368, 2096875722, 846, 567, 964, 162, 215, 0.55490255, 769189721, []), (932296368, 2096875709, 846, 437, 939, 24, 198, 0.9983077, 769189723, []), (932296368, 2096875709, 846, 1004, 1263, 28, 144, 0.9485744, 769189724, []), (932296368, 624624117, 846, 595, 1122, 331, 640, 0.99100167, 769189725, []), (932296368, 492624020, 846, 585, 874, 308, 393, 0.78697366, 769189727, []), (932296368, 2096875719, 846, 943, 1100, 428, 547, 0.96733797, 769189729, []), (932296368, 492654799, 846, 253, 467, 35, 441, 0.99621326, 769189730, []), (932296368, 492689227, 846, 1118, 1264, 270, 438, 0.9901647, 769189732, []), (932296368, 492689227, 846, 486, 671, 378, 690, 0.98789483, 769189733, []), (932296368, 492689227, 846, 161, 255, 229, 409, 0.70801014, 769189734, []), (932296368, 492925064, 846, 261, 421, 27, 193, 0.92215157, 769189737, []), (932296368, 492925064, 846, 873, 1045, 46, 156, 0.7535122, 769189738, []), (932296368, 492925064, 846, 1090, 1279, 20, 107, 0.45259848, 769189739, [])],)}
test angular coeff is a success !

############################### TEST detection_filter_by_crop  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=708

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=708
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 708
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=708
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : detection_filter_by_crop
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (946711423) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 946711423
download finish for photo 946711423
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.184295654296875
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:detection_filter_by_crop
Wed Feb 26 16:39:08 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584348_3116993_946711423_b4bef6b5c6c4b6ffae23f8718c42183c.jpg': 946711423}
map_photo_id_path_extension : {946711423: {'path': 'temp/1740584348_3116993_946711423_b4bef6b5c6c4b6ffae23f8718c42183c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of step detection filter
 param_json : {'input_type': 631, 'output_type': -1, 'condition_type': 445, 'condition_crop': 'car', 'criteria_crop': 'center_rect', 'min_surface_ratio': 0.7}
conditional_crop_copy
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 946711423) and `type` in (445) 
Loaded 3 chid ids of type : 445
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947734477,18345275,18345276)
+++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947734477,18345275,18345276)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947734477,18345275,18345276)
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 946711423) and `type` in (631) 
Loaded 35 chid ids of type : 631
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 946711423) and `type` in (445) 
Loaded 3 chid ids of type : 445
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947734477,18345275,18345276)
+++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947734477,18345275,18345276)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947734477,18345275,18345276)
 treating photo 946711423
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 624624117, 'type': 631, 'x0': 226, 'x1': 569, 'y0': 252, 'y1': 425, 'score': 0.99812776, 'id': 1947740368, 'points': ['395,419,341,419,340,418,316,418,315,417,306,417,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 162, 'x1': 245, 'y0': 233, 'y1': 396, 'score': 0.99702626, 'id': 1947740369, 'points': ['215,393,206,393,202,390,200,390,192,383,191,380,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 96, 'x1': 172, 'y0': 39, 'y1': 261, 'score': 0.9928518, 'id': 1947740370, 'points': ['143,252,143,249,141,246,140,246,138,248,138,251,137
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 545, 'x1': 612, 'y0': 186, 'y1': 276, 'score': 0.9876676, 'id': 1947740371, 'points': ['584,267,583,266,578,266,574,262,574,259,573,258,5 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875719, 'type': 631, 'x0': 468, 'x1': 555, 'y0': 292, 'y1': 365, 'score': 0.9830025, 'id': 1947740372, 'points': ['491,350,489,350,488,349,487,350,483,350,480,348,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 599722655, 'type': 631, 'x0': 176, 'x1': 535, 'y0': 138, 'y1': 264, 'score': 0.9818268, 'id': 1947740373, 'points': ['453,253,413,253,412,252,387,252,386,250,386,248,3
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 53, 'x1': 87, 'y0': 127, 'y1': 212, 'score': 0.9786105, 'id': 1947740374, 'points': ['74,201,69,201,67,199,66,199,65,198,62,192,62,190,61 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492844413, 'type': 631, 'x0': 89, 'x1': 163, 'y0': 93, 'y1': 144, 'score': 0.9772748, 'id': 1947740375, 'points': ['159,142,153,141,151,139,148,138,145,135,141,133,139
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 418, 'x1': 522, 'y0': 69, 'y1': 136, 'score': 0.97407305, 'id': 1947740376, 'points': ['510,121,507,121,505,119,501,120,500,119,500,113,4 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875709, 'type': 631, 'x0': 185, 'x1': 431, 'y0': 39, 'y1': 136, 'score': 0.97171515, 'id': 1947740377, 'points': ['331,134,287,134,286,133,284,133,283,134,272,134,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875722, 'type': 631, 'x0': 198, 'x1': 395, 'y0': 118, 'y1': 142, 'score': 0.9699756, 'id': 1947740378, 'points': ['328,137,251,137,250,136,249,137,241,137,240,136,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 499500794, 'type': 631, 'x0': 93, 'x1': 107, 'y0': 127, 'y1': 146, 'score': 0.9574813, 'id': 1947740379, 'points': ['101,143,98,143,95,139,95,131,97,129,100,129,101,13
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 71, 'x1': 125, 'y0': 36, 'y1': 95, 'score': 0.95296955, 'id': 1947740380, 'points': ['104,92,96,92,93,90,91,90,86,86,83,85,83,84,81,82,80
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 101, 'x1': 167, 'y0': 38, 'y1': 127, 'score': 0.9508439, 'id': 1947740381, 'points': ['154,117,152,115,152,112,150,110,148,106,148,104,14
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492624020, 'type': 631, 'x0': 249, 'x1': 400, 'y0': 219, 'y1': 316, 'score': 0.8792459, 'id': 1947740382, 'points': ['395,313,390,313,386,311,384,312,381,312,376,309,3
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 540, 'x1': 625, 'y0': 78, 'y1': 221, 'score': 0.87864035, 'id': 1947740383, 'points': ['567,127,566,127,565,126,564,109,562,106,560,106,5 surface aoutside conditional crop
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 547, 'x1': 640, 'y0': 79, 'y1': 129, 'score': 0.8165246, 'id': 1947740384, 'points': ['630,96,627,96,627,94,628,92,629,92,631,94,631,95', surface aoutside conditional crop
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 360, 'x1': 434, 'y0': 62, 'y1': 116, 'score': 0.74684095, 'id': 1947740385, 'points': ['415,103,413,103,411,101,408,101,405,99,403,99,401 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 503548896, 'type': 631, 'x0': 302, 'x1': 540, 'y0': 339, 'y1': 403, 'score': 0.7406652, 'id': 1947740386, 'points': ['442,401,372,401,372,397,370,395,369,392,366,390,3
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 53, 'x1': 85, 'y0': 75, 'y1': 182, 'score': 0.73015845, 'id': 1947740387, 'points': ['70,147,68,145,65,139,65,137,62,132,61,128,57,126,5
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875717, 'type': 631, 'x0': 477, 'x1': 510, 'y0': 220, 'y1': 243, 'score': 0.69028217, 'id': 1947740388, 'points': ['501,241,493,241,489,239,488,237,487,237,480,232
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 61, 'x1': 115, 'y0': 42, 'y1': 188, 'score': 0.6900027, 'id': 1947740389, 'points': ['92,47,91,45,92,44,96,45,94,45', '73,141,73,136,72,1 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875712, 'type': 631, 'x0': 309, 'x1': 326, 'y0': 382, 'y1': 404, 'score': 0.6633776, 'id': 1947740390, 'points': ['309,383,309,382,311,382', '325,385,324,383,319,3
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875719, 'type': 631, 'x0': 427, 'x1': 553, 'y0': 258, 'y1': 315, 'score': 0.6446218, 'id': 1947740391, 'points': ['531,284,526,284,525,283,525,281,523,279,522,280,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233861, 'type': 631, 'x0': 144, 'x1': 267, 'y0': 181, 'y1': 307, 'score': 0.63958377, 'id': 1947740392, 'points': ['212,251,209,251,208,250,203,251,201,250,201,249
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875712, 'type': 631, 'x0': 285, 'x1': 433, 'y0': 343, 'y1': 377, 'score': 0.61493844, 'id': 1947740393, 'points': ['431,376,286,376,285,375,285,368,286,367,286,362
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 146, 'x1': 287, 'y0': 140, 'y1': 311, 'score': 0.54784286, 'id': 1947740394, 'points': ['234,254,227,254,221,251,219,248,215,253,212,253
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 496, 'x1': 624, 'y0': 141, 'y1': 245, 'score': 0.46262404, 'id': 1947740395, 'points': ['603,176,599,173,595,176,593,176,590,174,589,174 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 495920967, 'type': 631, 'x0': 202, 'x1': 524, 'y0': 112, 'y1': 333, 'score': 0.45109355, 'id': 1947740396, 'points': ['483,289,483,286,482,285,482,283,480,279,480,274,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875722, 'type': 631, 'x0': 433, 'x1': 558, 'y0': 248, 'y1': 286, 'score': 0.44133398, 'id': 1947740397, 'points': ['492,272,474,272,473,271,468,271,465,269,460,269
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233861, 'type': 631, 'x0': 535, 'x1': 630, 'y0': 138, 'y1': 231, 'score': 0.42747068, 'id': 1947740398, 'points': ['590,171,589,170,585,170,584,171,581,169,579,169 surface aoutside conditional crop
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 399, 'x1': 569, 'y0': 68, 'y1': 251, 'score': 0.41876298, 'id': 1947740399, 'points': [], 'sub_photo_id': 0, 'rles': [], 'hashtag': '', '
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492624020, 'type': 631, 'x0': 420, 'x1': 552, 'y0': 244, 'y1': 293, 'score': 0.35962066, 'id': 1947740400, 'points': ['474,289,453,289,452,288,439,288,437,286,431,286,
   crop duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 503548896, 'type': 631, 'x0': 301, 'x1': 540, 'y0': 339, 'y1': 403, 'score': 0.740756, 'id': 3140491551, 'points': ['442,401,371,401,371,397,366,390,365,386,356,386,35
   crop not duplicated : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 496, 'x1': 624, 'y0': 140, 'y1': 245, 'score': 0.4627206, 'id': 3140491552, 'points': ['595,176,593,176,589,173,586,176,583,176,580,174, surface aoutside conditional crop

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.1084132194519043
time spend to save output : 3.552436828613281e-05
total time spend for step 1 : 0.10844874382019043

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {946711423: ([(946711423, 624624117, 631, 226, 569, 252, 425, 0.99812776, 1947740368, ['395,419,341,419,340,418,316,418,315,417,306,417,305,416,293,415,290,413,284,412,283,411,280,411,272,407,264,405,258,400,254,398,250,394,244,391,242,389,242,386,239,380,240,368,239,367,239,347,238,346,238,331,237,330,237,327,238,326,237,314,239,311,239,308,237,304,238,302,243,298,244,296,244,292,246,291,250,291,251,290,259,290,260,289,264,289,265,288,269,288,271,290,273,294,278,299,280,300,285,300,286,301,293,301,294,302,302,304,305,307,309,308,312,310,314,310,317,312,335,312,336,313,343,313,344,314,370,314,371,315,381,315,382,314,389,313,393,311,405,309,406,308,408,308,412,306,414,304,417,304,421,307,426,308,427,309,433,309,434,310,464,309,467,306,471,304,476,304,477,303,489,303,490,302,494,302,495,301,500,301,501,300,515,300,516,299,519,298,522,292,525,290,533,290,534,291,540,291,541,290,543,290,547,288,550,285,550,285,552,289,552,291,553,292,553,313,552,314,552,324,550,328,550,333,549,334,549,336,544,346,543,353,539,361,532,368,531,368,527,372,519,374,509,379,503,384,499,385,498,386,496,386,492,388,490,390,486,392,484,392,479,396,475,397,474,398,472,398,471,399,469,399,462,403,460,403,459,404,457,404,456,405,454,405,450,407,448,407,443,410,425,413,424,414,422,414,416,417,404,417,403,418,396,418']), (946711423, 492689227, 631, 162, 245, 233, 396, 0.99702626, 1947740369, ['215,393,206,393,202,390,200,390,192,383,191,380,187,375,184,369,184,367,180,360,180,358,179,357,177,349,175,347,174,339,172,336,171,330,170,329,169,324,168,323,168,313,167,312,167,304,166,303,166,298,165,297,165,288,164,287,165,286,165,272,166,271,166,268,167,267,167,263,168,262,169,254,173,249,177,247,178,247,181,251,184,251,184,252,187,255,189,255,193,259,193,261,195,263,195,264,201,270,203,278,207,282,208,289,211,293,211,296,213,299,214,304,215,305,216,312,219,316,219,319,220,320,220,325,222,329,222,335,223,336,223,338,225,342,225,349,226,350,226,359,227,360,227,366,228,367,228,371,231,375,231,382,227,385,226,388,225,389,223,388,219,392,216,392']), (946711423, 492654799, 631, 96, 172, 39, 261, 0.9928518, 1947740370, ['143,252,143,249,141,246,140,246,138,248,138,251,137,250,137,248,135,246,134,246,132,248,127,244,124,244,122,241,122,236,121,235,121,232,118,229,117,225,116,224,116,212,113,209,115,207,116,201,111,194,110,184,106,178,107,154,108,152,112,148,113,144,112,143,112,138,110,136,108,136,107,135,103,128,103,124,102,123,102,121,103,120,103,118,106,115,106,106,107,105,110,104,113,101,117,93,117,71,114,65,116,61,116,59,117,58,117,55,118,54,119,49,122,45,122,44,124,42,150,42,151,43,153,43,153,47,152,48,152,50,154,52,155,56,156,57,156,85,155,86,155,95,154,96,154,98,155,99,155,105,156,106,155,107,155,116,157,120,159,121,159,123,156,127,156,134,157,135,157,138,156,139,156,141,154,145,152,147,150,151,149,159,148,160,148,164,149,165,149,174,148,175,148,197,149,198,149,215,150,216,150,241,149,242,149,245,148,247,146,245,144,247', '122,147,121,138,120,141,119,142,119,144,118,145,121,148']), (946711423, 2096875719, 631, 468, 555, 292, 365, 0.9830025, 1947740372, ['491,350,489,350,488,349,487,350,483,350,480,348,480,341,482,339,482,337,485,334,487,334,491,330,494,330,495,328,498,326,501,326,503,324,507,325,509,323,514,321,516,319,518,321,520,321,521,319,522,319,524,321,527,321,530,317,530,315,531,314,535,313,540,309,543,310,544,311,542,313,542,314,544,316,541,318,541,322,536,322,535,323,533,323,532,322,528,322,527,321,524,321,522,323,518,322,516,324,517,327,516,328,512,327,510,329,512,332,513,332,515,330,516,331,516,333,514,332,511,333,511,336,514,337,516,336,516,339,515,339,513,338,511,340,512,341,512,342,510,343,507,343,502,347,500,347,497,349,492,349', '514,325,515,324,513,322,512,322,511,325,512,326', '522,327,521,327,521,326,522,325']), (946711423, 599722655, 631, 176, 535, 138, 264, 0.9818268, 1947740373, ['453,253,413,253,412,252,387,252,386,250,386,248,383,246,379,245,376,243,361,243,361,240,362,239,359,238,358,237,356,237,355,236,352,236,351,235,333,235,332,234,329,234,329,233,331,231,331,229,329,228,328,224,330,222,330,221,324,218,308,219,307,218,302,218,298,216,288,217,287,218,285,218,283,220,283,221,287,224,295,225,295,225,294,226,289,226,288,227,283,227,282,228,273,228,272,229,271,228,259,228,258,227,254,227,253,226,247,225,247,225,251,221,248,218,243,216,247,213,248,213,249,212,248,211,246,211,245,210,241,210,240,209,237,209,236,208,231,207,230,206,228,202,224,201,223,200,221,200,220,199,214,198,213,195,211,193,208,193,203,189,203,184,201,181,201,176,198,171,199,170,199,158,203,154,205,153,205,151,206,149,209,149,210,148,225,148,226,147,283,147,284,148,287,148,288,147,305,147,306,148,312,148,313,147,354,147,355,146,428,146,429,147,433,147,434,148,437,148,438,149,451,149,457,156,459,162,462,165,464,166,471,166,472,165,477,165,480,167,480,171,486,175,488,175,489,176,502,176,503,178,503,180,509,185,509,189,512,193,512,199,513,200,513,203,514,204,514,210,513,211,514,217,512,221,513,222,513,225,510,229,510,235,507,237,504,238,502,243,490,243,489,244,485,244,484,245,480,245,479,246,463,246,462,247,460,247,458,249,457,252,454,252', '528,212,528,207,526,206,524,203,526,203,527,202,528,202', '299,215,302,212,299,211,298,210,291,210,290,211,281,212,286,215,290,215,291,216', '375,242,376,240,375,238,363,239,368,242,371,242,372,243']), (946711423, 492844413, 631, 89, 163, 93, 144, 0.9772748, 1947740375, ['159,142,153,141,151,139,148,138,145,135,141,133,139,133,138,132,131,132,130,131,125,131,124,130,121,130,120,129,116,129,115,128,112,128,108,126,106,126,100,123,98,121,94,113,94,104,97,101,103,98,105,98,106,97,110,97,111,96,116,96,117,95,132,95,133,96,139,97,141,99,144,100,149,105,150,107,154,108,155,113,157,115,158,115,160,118,160,120,161,121,161,133,160,134,160,140']), (946711423, 2096875709, 631, 185, 431, 39, 136, 0.97171515, 1947740377, ['331,134,287,134,286,133,284,133,283,134,272,134,271,133,264,133,263,134,258,134,257,133,254,133,253,132,236,132,235,131,225,131,224,132,223,131,213,131,212,130,208,130,207,129,204,129,203,128,199,127,193,121,192,117,189,113,189,110,188,109,187,93,186,92,187,91,187,89,186,88,186,65,185,64,186,63,186,61,185,60,185,48,186,47,186,42,187,40,232,40,233,41,248,41,249,42,281,43,282,44,290,44,291,45,300,45,301,46,308,46,309,47,314,47,315,48,322,49,328,53,334,54,336,56,339,57,344,62,349,64,351,66,353,67,356,67,358,69,359,72,363,76,367,78,369,80,379,91,380,93,383,94,390,100,393,101,395,103,396,106,399,109,402,110,406,115,408,115,410,117,410,120,412,123,411,127,409,129,399,129,398,130,395,130,394,131,378,131,377,132,368,132,367,131,346,131,345,132,342,132,341,133,332,133']), (946711423, 2096875722, 631, 198, 395, 118, 142, 0.9699756, 1947740378, ['328,137,251,137,250,136,249,137,241,137,240,136,219,136,218,135,213,135,212,134,206,133,205,132,201,131,200,130,200,122,201,121,205,121,206,122,222,122,226,124,239,124,240,125,369,125,370,124,371,125,389,125,391,127,391,133,390,134,386,134,385,135,380,135,379,134,375,134,374,135,341,135,340,136,329,136']), (946711423, 499500794, 631, 93, 107, 127, 146, 0.9574813, 1947740379, ['101,143,98,143,95,139,95,131,97,129,100,129,101,133,102,134,102,136,103,137,103,140']), (946711423, 492925064, 631, 71, 125, 36, 95, 0.95296955, 1947740380, ['104,92,96,92,93,90,91,90,86,86,83,85,83,84,81,82,80,82,75,77,75,75,74,74,74,66,75,65,75,62,77,60,77,58,80,55,80,54,83,51,83,50,88,45,94,44,95,43,99,43,100,42,113,42,117,45,117,47,116,48,116,51,115,52,114,59,113,60,112,65,111,66,111,69,110,70,110,75,109,76,109,83,108,84,108,86,109,87,108,89']), (946711423, 492925064, 631, 101, 167, 38, 127, 0.9508439, 1947740381, ['154,117,152,115,152,112,150,110,148,106,148,104,145,101,143,100,138,100,137,99,135,99,133,95,131,95,126,93,126,91,128,88,128,83,129,82,129,70,127,68,127,66,128,65,125,61,127,59,127,56,129,52,129,49,130,47,135,42,144,42,148,45,151,49,151,60,152,61,152,75,153,76,153,80,155,83,155,87,156,88,156,105,155,106,156,107,156,110,154,112,156,116', '109,100,108,100,107,99,109,97']), (946711423, 492624020, 631, 249, 400, 219, 316, 0.8792459, 1947740382, ['395,313,390,313,386,311,384,312,381,312,376,309,358,308,357,307,354,307,353,306,350,306,349,307,345,305,343,303,341,304,337,304,334,302,325,302,324,301,315,300,313,298,313,297,310,295,304,295,300,293,295,293,291,288,289,287,283,287,281,285,281,283,278,280,274,280,272,279,272,276,270,273,270,270,269,268,266,265,265,265,264,264,264,262,261,260,260,258,260,256,261,255,259,252,259,248,258,246,255,244,256,241,252,239,251,238,251,226,265,226,266,227,268,227,272,232,276,232,277,233,279,233,281,234,283,237,285,238,290,239,293,241,296,241,304,246,312,247,316,251,318,252,320,252,326,255,328,255,337,260,342,260,343,261,345,261,349,264,351,264,355,266,357,268,364,271,366,273,370,275,374,275,376,276,377,279,379,281,383,282,384,283,386,283,387,286,390,289,390,290,394,294,396,294,398,296,398,308,397,309,397,311']), (946711423, 503548896, 631, 302, 540, 339, 403, 0.7406652, 1947740386, ['442,401,372,401,372,397,370,395,369,392,366,390,367,389,366,386,357,386,354,384,350,384,349,383,320,383,319,382,320,378,318,376,318,374,314,370,309,370,308,369,306,369,305,363,305,357,306,356,306,353,307,353,308,354,313,354,314,355,315,354,320,354,321,353,331,353,332,354,335,354,336,355,339,355,340,356,379,356,380,357,406,357,407,356,409,356,410,357,474,357,475,356,482,356,484,357,485,356,488,356,493,353,501,354,502,353,506,353,507,352,517,352,518,351,522,351,525,347,527,346,530,347,530,349,533,351,530,355,528,355,527,356,515,356,509,359,508,361,505,362,503,365,497,368,494,372,490,373,489,374,492,376,495,376,493,377,488,378,490,380,495,380,497,381,497,381,487,382,485,385,476,387,469,392,466,392,465,393,460,393,456,396,453,397,451,399,443,400', '519,353,518,352,517,353,518,354']), (946711423, 2106233860, 631, 53, 85, 75, 182, 0.73015845, 1947740387, ['70,147,68,145,65,139,65,137,62,132,61,128,57,126,56,124,56,121,54,119,54,110,56,108,56,103,59,100,60,101,61,100,61,96,63,93,63,89,66,84,65,83,65,80,66,78,68,78,68,79,70,80,70,83,74,87,74,90,75,91,75,100,77,102,77,105,75,106,75,125,76,126,77,125,77,125,77,128,76,129,77,131,77,136,75,139,75,143,78,145,76,146,71,146', '61,107,60,106,59,107,60,108', '77,134,76,131,75,134,76,135']), (946711423, 2096875717, 631, 477, 510, 220, 243, 0.69028217, 1947740388, ['501,241,493,241,489,239,488,237,487,237,480,232,479,230,479,226,484,222,487,222,488,223,492,224,496,228,497,228,497,229,502,234,502,235,504,236,504,240,502,240']), (946711423, 2096875712, 631, 309, 326, 382, 404, 0.6633776, 1947740390, ['309,383,309,382,311,382', '325,385,324,383,319,383,318,382,325,382', '320,400,311,400,309,398,309,385,310,386,311,385,315,385,316,384,318,384,319,385,322,385,325,387,325,398,323,398']), (946711423, 2096875719, 631, 427, 553, 258, 315, 0.6446218, 1947740391, ['531,284,526,284,525,283,525,281,523,279,522,280,519,281,521,282,521,283,519,284,518,283,519,281,515,279,516,277,515,276,513,276,512,277,513,279,511,280,507,279,505,276,504,279,497,279,496,278,495,279,485,279,484,280,480,280,479,281,481,283,482,283,482,283,469,283,468,284,438,284,436,283,440,279,446,279,447,278,456,278,458,276,457,275,457,275,467,275,468,274,490,274,491,273,494,273,496,271,496,269,499,268,501,266,503,265,506,265,510,263,514,263,516,261,520,259,544,259,544,259,543,260,545,262,548,262,550,263,550,276,549,277,547,277,540,282,538,282,537,283,532,283']), (946711423, 2106233861, 631, 144, 267, 181, 307, 0.63958377, 1947740392, ['212,251,209,251,208,250,203,251,201,250,201,249,195,243,189,242,188,241,185,241,184,240,182,236,180,236,179,235,173,235,172,234,170,235,164,235,163,234,163,232,162,231,163,217,166,217,168,218,170,215,171,210,172,209,173,209,176,212,178,210,178,208,181,203,186,203,188,201,193,201,194,202,195,201,201,201,202,202,204,202,205,201,209,201,210,202,212,202,215,200,217,200,220,202,221,201,227,201,231,205,231,206,234,209,235,209,235,210,238,213,238,224,234,228,235,232,234,233,228,234,225,237,224,241,222,242,216,242,209,246,211,248,212,248,213,250', '221,228,220,227,219,228,220,229', '224,238,224,237,221,235,217,237,219,239']), (946711423, 2096875712, 631, 285, 433, 343, 377, 0.61493844, 1947740393, ['431,376,286,376,285,375,285,368,286,367,286,362,287,361,287,359,291,359,297,362,306,363,307,364,312,364,313,365,322,366,323,367,331,366,332,368,334,368,335,369,338,368,337,366,336,366,337,365,336,364,327,364,325,361,319,361,317,357,317,356,318,355,325,355,326,353,331,353,333,351,332,350,330,350,328,348,326,348,325,347,319,347,315,345,306,345,305,344,297,344,299,344,300,343,431,343,432,344,432,353,431,354,431,358,430,359,430,365,427,365,425,363,424,363,422,364,421,366,418,366,413,369,404,370,409,371,409,371,399,371,398,372,395,373,419,374,420,373,426,372,428,370,428,367,429,367,430,368,429,369,430,370,430,373,431,374', '381,373,378,372,377,371,356,371,356,371,359,370,347,369,345,367,343,367,342,368,343,369,341,370,354,371,354,371,352,372,353,373,359,373,360,374']), (946711423, 2106233860, 631, 146, 287, 140, 311, 0.54784286, 1947740394, ['234,254,227,254,221,251,219,248,215,253,212,253,210,252,206,247,203,247,198,243,197,243,194,239,189,238,186,236,182,236,181,235,167,235,164,233,164,228,159,227,158,226,158,219,159,218,159,213,162,207,162,205,169,192,169,186,170,185,172,185,177,179,175,175,173,173,177,171,181,171,182,170,184,170,187,167,187,164,188,163,188,161,199,161,202,164,205,165,207,167,209,167,212,165,215,165,216,168,218,170,219,170,221,168,221,164,220,163,220,161,222,161,223,160,230,160,231,159,242,159,244,158,247,161,248,161,247,162,246,168,248,172,248,174,253,176,254,180,253,182,249,182,247,185,249,188,253,188,254,189,254,194,249,194,247,196,247,198,249,200,252,200,253,199,255,202,255,205,254,206,254,208,250,207,249,206,246,209,246,210,249,214,252,212,254,212,254,214,255,215,255,217,254,218,254,221,252,221,249,219,247,221,247,225,249,228,250,228,252,226,253,224,253,224,253,229,252,229,251,228,249,228,247,230,247,233,246,234,246,237,245,238,245,240,243,244,243,247,239,251,237,251', '230,167,229,166,227,167,228,168']), (946711423, 495920967, 631, 202, 524, 112, 333, 0.45109355, 1947740396, ['483,289,483,286,482,285,482,283,480,279,480,274,476,270,472,268,465,268,464,269,459,269,458,268,454,268,453,267,437,267,436,268,428,268,427,269,418,269,417,270,414,270,410,266,410,265,416,262,418,262,421,260,423,260,425,259,426,257,424,255,422,255,419,253,417,253,416,252,412,251,410,250,410,249,412,249,413,248,415,248,416,247,422,246,428,243,429,242,428,241,424,240,423,239,420,239,419,238,390,238,389,237,386,237,385,236,369,236,368,235,363,234,363,233,364,232,364,230,366,226,365,225,357,220,344,220,341,218,339,218,339,218,342,212,342,210,336,207,327,207,326,206,319,206,318,205,314,205,313,204,297,204,291,207,288,210,288,212,291,217,290,220,288,222,284,224,282,224,278,227,273,228,271,230,270,235,265,239,262,236,261,232,263,228,266,226,261,224,256,219,256,210,249,206,242,205,237,202,234,195,226,186,227,184,227,180,228,179,225,175,225,174,222,171,225,165,227,163,229,158,230,157,232,156,235,156,236,155,239,155,240,154,245,154,246,155,254,155,255,156,258,156,259,157,268,157,269,156,272,156,273,155,280,155,281,156,298,156,300,155,301,156,307,156,308,157,311,157,318,152,322,151,323,150,333,150,338,146,339,146,342,143,343,143,346,140,357,140,362,136,366,134,368,134,369,133,373,133,374,132,377,132,378,131,388,131,389,130,410,130,411,131,417,131,428,140,432,142,434,142,435,143,443,145,446,147,448,147,451,154,453,156,457,158,462,159,463,160,466,160,467,161,472,162,474,163,474,164,481,171,489,175,491,175,492,176,494,176,495,177,499,178,500,179,502,184,507,189,517,194,518,195,514,201,514,203,518,207,519,209,518,214,515,218,517,227,515,229,515,231,514,232,515,236,518,239,518,252,519,253,519,263,518,264,518,267,517,269,514,272,512,273,512,274,506,280,500,277,498,273,496,272,493,272,491,274,491,278,490,279,490,281', '312,179,311,178,308,179,309,180', '268,269,264,269,259,266,259,262,261,258,261,250,265,245,269,250,270,257,274,260,278,265,275,267,269,268', '414,281,401,281,414,281']), (946711423, 2096875722, 631, 433, 558, 248, 286, 0.44133398, 1947740397, ['492,272,474,272,473,271,468,271,465,269,460,269,460,268,465,266,467,266,468,265,470,265,471,264,475,264,476,263,479,263,480,262,486,262,487,261,491,261,492,260,495,260,496,259,502,259,506,257,510,257,514,255,517,255,518,254,530,253,531,252,535,252,536,251,538,251,539,252,543,252,544,253,547,253,549,251,553,251,555,253,555,267,552,270,550,270,550,269,548,267,547,267,547,267,548,266,547,265,545,266,540,266,539,264,530,264,529,263,524,263,519,266,513,266,510,268,507,268,506,269,499,270,498,271,493,271', '438,279,435,279,435,273,436,272,448,271,449,272,448,274,443,274,440,277,440,278']), (946711423, 492654799, 631, 399, 569, 68, 251, 0.41876298, 1947740399, []), (946711423, 492624020, 631, 420, 552, 244, 293, 0.35962066, 1947740400, ['474,289,453,289,452,288,439,288,437,286,431,286,427,284,423,284,422,283,422,275,427,275,428,273,430,272,435,272,436,271,438,271,442,269,447,269,450,267,454,267,460,264,464,264,467,262,483,261,484,260,488,260,489,259,494,259,495,258,502,258,503,257,505,257,509,255,512,255,516,252,520,252,521,251,526,250,530,248,534,248,535,247,546,247,547,248,549,248,549,250,550,251,550,266,551,267,551,275,550,276,550,278,549,279,549,281,537,282,535,284,528,284,527,285,504,285,503,286,495,286,492,288,488,287,487,288,475,288']), (946711423, 503548896, 631, 301, 540, 339, 403, 0.740756, 3140491551, ['442,401,371,401,371,397,366,390,365,386,356,386,353,384,348,383,319,383,319,378,314,370,310,370,305,368,304,357,305,353,330,353,339,356,378,356,379,357,474,357,475,356,488,356,493,353,501,354,507,352,517,352,522,351,527,346,530,347,533,351,530,355,527,356,515,356,505,362,503,365,497,368,494,372,489,374,492,376,488,378,490,380,495,380,487,382,485,385,476,387,469,392,461,393,456,395,451,399,447,399', '519,353,518,352,517,353,518,354'])],)}
test detection filter by crop is a success !

############################### TEST detection_filter_by_classif  ################################
t
SELECT id FROM MTRPhoto.crop_hashtag_ids WHERE photo_id=946711423 AND `type`=816
DELETE FROM MTRPhoto.crop_hashtag_ids WHERE id IN (3687380280,3687380279,3687380278,3687380287,3687380286,3687380285,3687380284,3687380283,3687380292,3687380295,3687380281,3687380282,3687380291,3687380290,3687380296,3687380297,3687380298,3687380300,3687380288,3687380294,3687380293,3687380299,3687380289) 
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=672

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=672
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 672
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=672
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : detection_filter_by_classif
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (946711423) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.004709959030151367
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:detection_filter_by_classif
Wed Feb 26 16:39:08 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
beginning of step detection filter with classification results
 param_json : {'input_type': 631, 'output_type': 816, 'condition_type': 872, 'crops_ok': {'CAR_DOCUMENT.*': {}, 'CAR_INTERIEUR.*': {}, 'CAR_EXTERIEUR_angle_avant_droit.*': {'Retroviseur': 2, 'Roue': 2, 'Capot': 1, 'Pare-brise': 1, 'vitre': 10, 'phare': 2, 'Feu-antibrouillard': 2, 'poignee': 2, 'porte': 2, 'calandre': 1, 'logo-marque': 1, 'Plaque-immatriculation': 1, 'Essuie-glace': 1, 'pare-choc': 1, 'toit': 1, 'logo-roue': 1, 'aile-avant': 1}}, 'separation': {'CAR_EXTERIEUR_avant.*': {'pare-choc': ['pare-chocs-avant'], 'phare': ['phare-gauche', 'a-droite-de', 'phare-droit']}, 'CAR_EXTERIEUR_angle_avant_droit.*': {'pare-choc': ['pare-chocs-avant'], 'phare': ['phare-droite', 'a-gauche-de', 'phare-gauche'], 'porte': ['porte-avant', 'a-droite-de', 'porte-arriere']}}}
conditional_crop_by_classif_copy
select distinct hashtag_id from MTRBack.photo_hashtag_ids where photo_id in (946711423) and type=872
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 946711423) and `type` in (631) 
Loaded 35 chid ids of type : 631
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552)
 treating photo 946711423
select distinct hashtag_id from MTRBack.photo_hashtag_ids where photo_id in (946711423) and type=872
  list of crops kept {'retroviseur': 2, 'roue': 2, 'capot': 1, 'pare-brise': 1, 'vitre': 10, 'phare': 2, 'feu-antibrouillard': 2, 'poignee': 2, 'porte': 2, 'calandre': 1, 'logo-marque': 1, 'plaque-immatriculation': 1, 'essuie-glace': 1, 'pare-choc': 1, 'toit': 1, 'logo-roue': 1, 'aile-avant': 1} for hahstag car_exterieur_angle_avant_droit_merge__port_551052
   crop not duplicated for hashtag aile-arriere : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233861, 'type': 631, 'x0': 144, 'x1': 267, 'y0': 181, 'y1': 307, 'score': 0.63958377, 'id': 1947740392, 'points': ['212,251,209,251,208,250,203,251,201,250,201,249
   crop not duplicated for hashtag coffre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 495920967, 'type': 631, 'x0': 202, 'x1': 524, 'y0': 112, 'y1': 333, 'score': 0.45109355, 'id': 1947740396, 'points': ['483,289,483,286,482,285,482,283,480,279,480,274,
   crop not duplicated for hashtag aile-arriere : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233861, 'type': 631, 'x0': 535, 'x1': 630, 'y0': 138, 'y1': 231, 'score': 0.42747068, 'id': 1947740398, 'points': ['590,171,589,170,585,170,584,171,581,169,579,169
   crop duplicated for hashtag retroviseur : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492844413, 'type': 631, 'x0': 89, 'x1': 163, 'y0': 93, 'y1': 144, 'score': 0.9772748, 'id': 1947740375, 'points': ['159,142,153,141,151,139,148,138,145,135,141,133,139
   crop duplicated for hashtag roue : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 162, 'x1': 245, 'y0': 233, 'y1': 396, 'score': 0.99702626, 'id': 1947740369, 'points': ['215,393,206,393,202,390,200,390,192,383,191,380,
   crop duplicated for hashtag roue : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 545, 'x1': 612, 'y0': 186, 'y1': 276, 'score': 0.9876676, 'id': 1947740371, 'points': ['584,267,583,266,578,266,574,262,574,259,573,258,5
   crop not duplicated for hashtag roue : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 53, 'x1': 87, 'y0': 127, 'y1': 212, 'score': 0.9786105, 'id': 1947740374, 'points': ['74,201,69,201,67,199,66,199,65,198,62,192,62,190,61
   crop duplicated for hashtag capot : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 599722655, 'type': 631, 'x0': 176, 'x1': 535, 'y0': 138, 'y1': 264, 'score': 0.9818268, 'id': 1947740373, 'points': ['453,253,413,253,412,252,387,252,386,250,386,248,3
   crop duplicated for hashtag pare-brise : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875709, 'type': 631, 'x0': 185, 'x1': 431, 'y0': 39, 'y1': 136, 'score': 0.97171515, 'id': 1947740377, 'points': ['331,134,287,134,286,133,284,133,283,134,272,134,
   crop duplicated for hashtag vitre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 418, 'x1': 522, 'y0': 69, 'y1': 136, 'score': 0.97407305, 'id': 1947740376, 'points': ['510,121,507,121,505,119,501,120,500,119,500,113,4
   crop duplicated for hashtag vitre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 71, 'x1': 125, 'y0': 36, 'y1': 95, 'score': 0.95296955, 'id': 1947740380, 'points': ['104,92,96,92,93,90,91,90,86,86,83,85,83,84,81,82,80
   crop duplicated for hashtag vitre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 101, 'x1': 167, 'y0': 38, 'y1': 127, 'score': 0.9508439, 'id': 1947740381, 'points': ['154,117,152,115,152,112,150,110,148,106,148,104,14
   crop duplicated for hashtag vitre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 547, 'x1': 640, 'y0': 79, 'y1': 129, 'score': 0.8165246, 'id': 1947740384, 'points': ['630,96,627,96,627,94,628,92,629,92,631,94,631,95',
   crop duplicated for hashtag vitre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 360, 'x1': 434, 'y0': 62, 'y1': 116, 'score': 0.74684095, 'id': 1947740385, 'points': ['415,103,413,103,411,101,408,101,405,99,403,99,401
   crop duplicated for hashtag phare : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492624020, 'type': 631, 'x0': 249, 'x1': 400, 'y0': 219, 'y1': 316, 'score': 0.8792459, 'id': 1947740382, 'points': ['395,313,390,313,386,311,384,312,381,312,376,309,3
   crop duplicated for hashtag phare : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492624020, 'type': 631, 'x0': 420, 'x1': 552, 'y0': 244, 'y1': 293, 'score': 0.35962066, 'id': 1947740400, 'points': ['474,289,453,289,452,288,439,288,437,286,431,286,
   crop duplicated for hashtag feu-antibrouillard : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875712, 'type': 631, 'x0': 309, 'x1': 326, 'y0': 382, 'y1': 404, 'score': 0.6633776, 'id': 1947740390, 'points': ['309,383,309,382,311,382', '325,385,324,383,319,3
   crop duplicated for hashtag feu-antibrouillard : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875712, 'type': 631, 'x0': 285, 'x1': 433, 'y0': 343, 'y1': 377, 'score': 0.61493844, 'id': 1947740393, 'points': ['431,376,286,376,285,375,285,368,286,367,286,362
   crop duplicated for hashtag poignee : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 499500794, 'type': 631, 'x0': 93, 'x1': 107, 'y0': 127, 'y1': 146, 'score': 0.9574813, 'id': 1947740379, 'points': ['101,143,98,143,95,139,95,131,97,129,100,129,101,13
   crop duplicated for hashtag porte : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 96, 'x1': 172, 'y0': 39, 'y1': 261, 'score': 0.9928518, 'id': 1947740370, 'points': ['143,252,143,249,141,246,140,246,138,248,138,251,137
   crop duplicated for hashtag porte : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 540, 'x1': 625, 'y0': 78, 'y1': 221, 'score': 0.87864035, 'id': 1947740383, 'points': ['567,127,566,127,565,126,564,109,562,106,560,106,5
   crop not duplicated for hashtag porte : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 61, 'x1': 115, 'y0': 42, 'y1': 188, 'score': 0.6900027, 'id': 1947740389, 'points': ['92,47,91,45,92,44,96,45,94,45', '73,141,73,136,72,1
   crop not duplicated for hashtag porte : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 399, 'x1': 569, 'y0': 68, 'y1': 251, 'score': 0.41876298, 'id': 1947740399, 'points': [], 'sub_photo_id': 0, 'rles': [], 'hashtag': '', '
   crop duplicated for hashtag calandre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 503548896, 'type': 631, 'x0': 301, 'x1': 540, 'y0': 339, 'y1': 403, 'score': 0.740756, 'id': 3140491551, 'points': ['442,401,371,401,371,397,366,390,365,386,356,386,35
   crop not duplicated for hashtag calandre : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 503548896, 'type': 631, 'x0': 302, 'x1': 540, 'y0': 339, 'y1': 403, 'score': 0.7406652, 'id': 1947740386, 'points': ['442,401,372,401,372,397,370,395,369,392,366,390,3
   crop duplicated for hashtag logo-marque : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875717, 'type': 631, 'x0': 477, 'x1': 510, 'y0': 220, 'y1': 243, 'score': 0.69028217, 'id': 1947740388, 'points': ['501,241,493,241,489,239,488,237,487,237,480,232
   crop duplicated for hashtag plaque-immatriculation : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875719, 'type': 631, 'x0': 468, 'x1': 555, 'y0': 292, 'y1': 365, 'score': 0.9830025, 'id': 1947740372, 'points': ['491,350,489,350,488,349,487,350,483,350,480,348,
   crop not duplicated for hashtag plaque-immatriculation : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875719, 'type': 631, 'x0': 427, 'x1': 553, 'y0': 258, 'y1': 315, 'score': 0.6446218, 'id': 1947740391, 'points': ['531,284,526,284,525,283,525,281,523,279,522,280,
   crop duplicated for hashtag essuie-glace : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875722, 'type': 631, 'x0': 198, 'x1': 395, 'y0': 118, 'y1': 142, 'score': 0.9699756, 'id': 1947740378, 'points': ['328,137,251,137,250,136,249,137,241,137,240,136,
   crop not duplicated for hashtag essuie-glace : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2096875722, 'type': 631, 'x0': 433, 'x1': 558, 'y0': 248, 'y1': 286, 'score': 0.44133398, 'id': 1947740397, 'points': ['492,272,474,272,473,271,468,271,465,269,460,269
   crop duplicated for hashtag pare-choc : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 624624117, 'type': 631, 'x0': 226, 'x1': 569, 'y0': 252, 'y1': 425, 'score': 0.99812776, 'id': 1947740368, 'points': ['395,419,341,419,340,418,316,418,315,417,306,417,
   crop duplicated for hashtag aile-avant : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 53, 'x1': 85, 'y0': 75, 'y1': 182, 'score': 0.73015845, 'id': 1947740387, 'points': ['70,147,68,145,65,139,65,137,62,132,61,128,57,126,5
   crop not duplicated for hashtag aile-avant : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 146, 'x1': 287, 'y0': 140, 'y1': 311, 'score': 0.54784286, 'id': 1947740394, 'points': ['234,254,227,254,221,251,219,248,215,253,212,253
   crop not duplicated for hashtag aile-avant : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 496, 'x1': 624, 'y0': 140, 'y1': 245, 'score': 0.4627206, 'id': 3140491552, 'points': ['595,176,593,176,589,173,586,176,583,176,580,174,
   crop not duplicated for hashtag aile-avant : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 496, 'x1': 624, 'y0': 141, 'y1': 245, 'score': 0.46262404, 'id': 1947740395, 'points': ['603,176,599,173,595,176,593,176,590,174,589,174
  list of crops kept {'pare-choc': ('pare-chocs-avant',), 'phare': ('phare-droite', 'a-gauche-de', 'phare-gauche'), 'porte': ('porte-avant', 'a-droite-de', 'porte-arriere')} for hahstag car_exterieur_angle_avant_droit_merge__port_551052
batch 1
Loaded 0 chid ids of type : 0
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 23 chid ids of type : 816
INSERT IGNORE INTO MTRPhoto.crop_polygon_points (`crop_hashtag_id`, `points`) VALUES (%s, %s)
Number RLEs to save : 1600
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3687653688', '117', '95', '16')
...
 last line : ('3687653710', '70', '147', '1')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.27898478507995605
time spend to save output : 8.440017700195312e-05
total time spend for step 1 : 0.279069185256958

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
test detection filter by classif is a success !

############################### TEST blur_detection  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1243

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=1243
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 1243
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=1243
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : blur_detection
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (930729675) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 930729675
download finish for photo 930729675
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.13833999633789062
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:blur_detection
Wed Feb 26 16:39:09 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584349_3116993_930729675_b2d2beaaee733d521cbb0c9800a29073.jpg': 930729675}
map_photo_id_path_extension : {930729675: {'path': 'temp/1740584349_3116993_930729675_b2d2beaaee733d521cbb0c9800a29073.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
inside step blur_detection
methode: ratio et variance
treat image : temp/1740584349_3116993_930729675_b2d2beaaee733d521cbb0c9800a29073.jpg
resize: (600, 800)
930729675 12.961859636534896
score_blur_detection : {930729675: [(930729675, 12.961859636534896, 492688767)]}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.18686699867248535
time spend to save output : 5.245208740234375e-05
total time spend for step 1 : 0.1869194507598877

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {930729675: [(930729675, 12.961859636534896, 492688767)]}
{930729675: [(930729675, 12.961859636534896, 492688767)]}

############################### TEST detect_point_224x224  ################################
test_detect_point_224x224
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1908

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=1908
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 1908
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=1908
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 4589 thcl is not linked in the step_by_step architecture !
WARNING : step 4590 argmax is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : thcl, argmax
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (987515175,987515176,987515177,987515178,987515179,987515180,987515181,987515182,987515183,987515184,987515185,987515186,987515187,987515188,987515189,987515190,987515192,987515193,987515195,987515196,987515198,987515200,987515201,987515202,987515204,987515205,987515207,987515208,987515209,987515211,987515212,987515213,987515215,987515216,987515217,987515219,987515220,987515222,987515223,987515224,987515226,987515227,987515228,987515230,987515231,987515232,987515233,987515234,987515235,987515236,987515237,987515238,987515239,987515240,987515241,987515242,987515243,987515244,987515245,987515246,987515247,987515248,987515249,987515250) 
 Found this number of photos: 64
##### Call download_photos : nb_thread : 5
begin to download photo : 987515175
begin to download photo : 987515188
begin to download photo : 987515207
begin to download photo : 987515224
begin to download photo : 987515239
download finish for photo 987515239
begin to download photo : 987515240
download finish for photo 987515207
begin to download photo : 987515208
download finish for photo 987515224
begin to download photo : 987515226
download finish for photo 987515188
begin to download photo : 987515189
download finish for photo 987515175
begin to download photo : 987515176
download finish for photo 987515208
begin to download photo : 987515209
download finish for photo 987515176
begin to download photo : 987515177
download finish for photo 987515240
begin to download photo : 987515241
download finish for photo 987515226
begin to download photo : 987515227
download finish for photo 987515177
begin to download photo : 987515178
download finish for photo 987515209
begin to download photo : 987515211
download finish for photo 987515227
begin to download photo : 987515228
download finish for photo 987515241
begin to download photo : 987515242
download finish for photo 987515211
begin to download photo : 987515212
download finish for photo 987515178
begin to download photo : 987515179
download finish for photo 987515228
begin to download photo : 987515230
download finish for photo 987515212
begin to download photo : 987515213
download finish for photo 987515230
begin to download photo : 987515231
download finish for photo 987515213
begin to download photo : 987515215
download finish for photo 987515242
begin to download photo : 987515243
download finish for photo 987515179
begin to download photo : 987515180
download finish for photo 987515231
begin to download photo : 987515232
download finish for photo 987515215
begin to download photo : 987515216
download finish for photo 987515243
begin to download photo : 987515244
download finish for photo 987515180
begin to download photo : 987515181
download finish for photo 987515232
begin to download photo : 987515233
download finish for photo 987515216
begin to download photo : 987515217
download finish for photo 987515244
download finish for photo 987515181
begin to download photo : 987515245
begin to download photo : 987515182
download finish for photo 987515233
begin to download photo : 987515234
download finish for photo 987515217
begin to download photo : 987515219
download finish for photo 987515182
begin to download photo : 987515183
download finish for photo 987515219
begin to download photo : 987515220
download finish for photo 987515234
begin to download photo : 987515235
download finish for photo 987515245
begin to download photo : 987515246
download finish for photo 987515183
begin to download photo : 987515184
download finish for photo 987515189
begin to download photo : 987515190
download finish for photo 987515235
begin to download photo : 987515236
download finish for photo 987515246
begin to download photo : 987515247
download finish for photo 987515220
begin to download photo : 987515222
download finish for photo 987515190
begin to download photo : 987515192
download finish for photo 987515247
begin to download photo : 987515248
download finish for photo 987515184
begin to download photo : 987515185
download finish for photo 987515192
begin to download photo : 987515193
download finish for photo 987515222
download finish for photo 987515236
begin to download photo : 987515223
begin to download photo : 987515237
download finish for photo 987515248
begin to download photo : 987515249
download finish for photo 987515185
begin to download photo : 987515186
download finish for photo 987515237
begin to download photo : 987515238
download finish for photo 987515193
begin to download photo : 987515195
download finish for photo 987515249
begin to download photo : 987515250
download finish for photo 987515223
download finish for photo 987515186
begin to download photo : 987515187
download finish for photo 987515187
download finish for photo 987515238
download finish for photo 987515195
begin to download photo : 987515196
download finish for photo 987515250
download finish for photo 987515196
begin to download photo : 987515198
download finish for photo 987515198
begin to download photo : 987515200
download finish for photo 987515200
begin to download photo : 987515201
download finish for photo 987515201
begin to download photo : 987515202
download finish for photo 987515202
begin to download photo : 987515204
download finish for photo 987515204
begin to download photo : 987515205
download finish for photo 987515205
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 64 ; length of list_pids : 64 ; length of list_args : 64
##### After load_data_input 
time to download the photos : 2.4276304244995117
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  2
step1:thcl
Wed Feb 26 16:39:12 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584349_3116993_987515207_de216ddb041e249524b0fb2b949064a5.jpg': 987515207, 'temp/1740584349_3116993_987515208_a2b90cb74908aa64bbc4aae58f0c5ae8.jpg': 987515208, 'temp/1740584349_3116993_987515209_02dfe1ae39f51994652f4a8538844aea.jpg': 987515209, 'temp/1740584349_3116993_987515211_72cc7664d45bd40477351b9b764f1500.jpg': 987515211, 'temp/1740584349_3116993_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg': 987515212, 'temp/1740584349_3116993_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg': 987515213, 'temp/1740584349_3116993_987515215_902ef348a7eebb9a8b87f42927347936.jpg': 987515215, 'temp/1740584349_3116993_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg': 987515216, 'temp/1740584349_3116993_987515217_78877bb2c5760be28518d17f77d1c609.jpg': 987515217, 'temp/1740584349_3116993_987515219_c2d417a5ba6ccf7c84527636f8d5eef9.jpg': 987515219, 'temp/1740584349_3116993_987515220_e729f316c4c3b32049adfbaaa336d95c.jpg': 987515220, 'temp/1740584349_3116993_987515222_067a027bc7402f969b6277d0dcb47eaa.jpg': 987515222, 'temp/1740584349_3116993_987515223_ebb57f09941cd11d7ee45a9368a883c1.jpg': 987515223, 'temp/1740584349_3116993_987515175_8b398cba2f448622cd9657f5eb3f9796.jpg': 987515175, 'temp/1740584349_3116993_987515176_8b398cba2f448622cd9657f5eb3f9796.jpg': 987515176, 'temp/1740584349_3116993_987515177_4a54e9967227806219ddf45d256539d8.jpg': 987515177, 'temp/1740584349_3116993_987515178_298b3d2bfe0fda6787b59a78e2e68867.jpg': 987515178, 'temp/1740584349_3116993_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg': 987515179, 'temp/1740584349_3116993_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg': 987515180, 'temp/1740584349_3116993_987515181_1738c2798fb31152809ecb443ac286d6.jpg': 987515181, 'temp/1740584349_3116993_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg': 987515182, 'temp/1740584349_3116993_987515183_6aab9ca0421398b4899892c10c2594c6.jpg': 987515183, 'temp/1740584349_3116993_987515184_19c8c2177209a285df6014d95fe53f2c.jpg': 987515184, 'temp/1740584349_3116993_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg': 987515185, 'temp/1740584349_3116993_987515186_797def426440b544aa80dbd63a19234a.jpg': 987515186, 'temp/1740584349_3116993_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg': 987515187, 'temp/1740584349_3116993_987515224_e8747b400e713ecbd08d5b75db4d7568.jpg': 987515224, 'temp/1740584349_3116993_987515226_a18048dca1a77ae086b62cf07759f704.jpg': 987515226, 'temp/1740584349_3116993_987515227_e9c45a0e576ec9e44c1379c3fc5fec7c.jpg': 987515227, 'temp/1740584349_3116993_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg': 987515228, 'temp/1740584349_3116993_987515230_846ad925884264181565c81d152a2e94.jpg': 987515230, 'temp/1740584349_3116993_987515231_dbf4cafa71b6db4771c5c8f0c25e9cda.jpg': 987515231, 'temp/1740584349_3116993_987515232_38db7950cdb3c674ee0ad65915b021f3.jpg': 987515232, 'temp/1740584349_3116993_987515233_a92514bed0e8c5724f2d032d3ab1e2ad.jpg': 987515233, 'temp/1740584349_3116993_987515234_2eca3480aed0f8b876242675ad99b666.jpg': 987515234, 'temp/1740584349_3116993_987515235_87075955a2f76b3948b47ffe1825ecd9.jpg': 987515235, 'temp/1740584349_3116993_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg': 987515236, 'temp/1740584349_3116993_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg': 987515237, 'temp/1740584349_3116993_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg': 987515238, 'temp/1740584349_3116993_987515239_b3fa6f29636080b5138c8d8c33fea309.jpg': 987515239, 'temp/1740584349_3116993_987515240_7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg': 987515240, 'temp/1740584349_3116993_987515241_073420d938f5f010ffd5b4353c064e09.jpg': 987515241, 'temp/1740584349_3116993_987515242_327abb5215d6fd1f0aad51f53ed8c324.jpg': 987515242, 'temp/1740584349_3116993_987515243_4375283f3bc5cdaa431c2fc6f17f53a4.jpg': 987515243, 'temp/1740584349_3116993_987515244_419530eaef5ef868f75c758b94eea4b4.jpg': 987515244, 'temp/1740584349_3116993_987515245_757d9d208d5bd4375c5f21f68b699148.jpg': 987515245, 'temp/1740584349_3116993_987515246_671a708f67f2efa19004b8257fc7b9c8.jpg': 987515246, 'temp/1740584349_3116993_987515247_e47b65403df916ba909bc9c439b0af73.jpg': 987515247, 'temp/1740584349_3116993_987515248_a70ad88462a22fb62a120721a42b2d42.jpg': 987515248, 'temp/1740584349_3116993_987515249_a70ad88462a22fb62a120721a42b2d42.jpg': 987515249, 'temp/1740584349_3116993_987515250_b2827c9639df69656f23abcc7f2f82d9.jpg': 987515250, 'temp/1740584349_3116993_987515188_4116f9906657a69bb76c2fda982037b9.jpg': 987515188, 'temp/1740584349_3116993_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg': 987515189, 'temp/1740584349_3116993_987515190_d56932bfc6ba2a8c974c691108755017.jpg': 987515190, 'temp/1740584349_3116993_987515192_b661073b218f5f056833d6af1c617153.jpg': 987515192, 'temp/1740584349_3116993_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg': 987515193, 'temp/1740584349_3116993_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg': 987515195, 'temp/1740584349_3116993_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg': 987515196, 'temp/1740584349_3116993_987515198_599e80f444c876f407e94b533c89360b.jpg': 987515198, 'temp/1740584349_3116993_987515200_978964436b5d5fb0eeda17e3bfafe889.jpg': 987515200, 'temp/1740584349_3116993_987515201_b224d2acdc7fa2bbb134c09db6bca7ce.jpg': 987515201, 'temp/1740584349_3116993_987515202_3314bd90d1404f31b827d8925abf2d62.jpg': 987515202, 'temp/1740584349_3116993_987515204_9779c4f9d44360a9c80499e3b01e8a09.jpg': 987515204, 'temp/1740584349_3116993_987515205_fd4b136d0b3a9a1a347942d7191f6fea.jpg': 987515205}
map_photo_id_path_extension : {987515207: {'path': 'temp/1740584349_3116993_987515207_de216ddb041e249524b0fb2b949064a5.jpg', 'extension': 'jpg'}, 987515208: {'path': 'temp/1740584349_3116993_987515208_a2b90cb74908aa64bbc4aae58f0c5ae8.jpg', 'extension': 'jpg'}, 987515209: {'path': 'temp/1740584349_3116993_987515209_02dfe1ae39f51994652f4a8538844aea.jpg', 'extension': 'jpg'}, 987515211: {'path': 'temp/1740584349_3116993_987515211_72cc7664d45bd40477351b9b764f1500.jpg', 'extension': 'jpg'}, 987515212: {'path': 'temp/1740584349_3116993_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'extension': 'jpg'}, 987515213: {'path': 'temp/1740584349_3116993_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'extension': 'jpg'}, 987515215: {'path': 'temp/1740584349_3116993_987515215_902ef348a7eebb9a8b87f42927347936.jpg', 'extension': 'jpg'}, 987515216: {'path': 'temp/1740584349_3116993_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg', 'extension': 'jpg'}, 987515217: {'path': 'temp/1740584349_3116993_987515217_78877bb2c5760be28518d17f77d1c609.jpg', 'extension': 'jpg'}, 987515219: {'path': 'temp/1740584349_3116993_987515219_c2d417a5ba6ccf7c84527636f8d5eef9.jpg', 'extension': 'jpg'}, 987515220: {'path': 'temp/1740584349_3116993_987515220_e729f316c4c3b32049adfbaaa336d95c.jpg', 'extension': 'jpg'}, 987515222: {'path': 'temp/1740584349_3116993_987515222_067a027bc7402f969b6277d0dcb47eaa.jpg', 'extension': 'jpg'}, 987515223: {'path': 'temp/1740584349_3116993_987515223_ebb57f09941cd11d7ee45a9368a883c1.jpg', 'extension': 'jpg'}, 987515175: {'path': 'temp/1740584349_3116993_987515175_8b398cba2f448622cd9657f5eb3f9796.jpg', 'extension': 'jpg'}, 987515176: {'path': 'temp/1740584349_3116993_987515176_8b398cba2f448622cd9657f5eb3f9796.jpg', 'extension': 'jpg'}, 987515177: {'path': 'temp/1740584349_3116993_987515177_4a54e9967227806219ddf45d256539d8.jpg', 'extension': 'jpg'}, 987515178: {'path': 'temp/1740584349_3116993_987515178_298b3d2bfe0fda6787b59a78e2e68867.jpg', 'extension': 'jpg'}, 987515179: {'path': 'temp/1740584349_3116993_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg', 'extension': 'jpg'}, 987515180: {'path': 'temp/1740584349_3116993_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg', 'extension': 'jpg'}, 987515181: {'path': 'temp/1740584349_3116993_987515181_1738c2798fb31152809ecb443ac286d6.jpg', 'extension': 'jpg'}, 987515182: {'path': 'temp/1740584349_3116993_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg', 'extension': 'jpg'}, 987515183: {'path': 'temp/1740584349_3116993_987515183_6aab9ca0421398b4899892c10c2594c6.jpg', 'extension': 'jpg'}, 987515184: {'path': 'temp/1740584349_3116993_987515184_19c8c2177209a285df6014d95fe53f2c.jpg', 'extension': 'jpg'}, 987515185: {'path': 'temp/1740584349_3116993_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg', 'extension': 'jpg'}, 987515186: {'path': 'temp/1740584349_3116993_987515186_797def426440b544aa80dbd63a19234a.jpg', 'extension': 'jpg'}, 987515187: {'path': 'temp/1740584349_3116993_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg', 'extension': 'jpg'}, 987515224: {'path': 'temp/1740584349_3116993_987515224_e8747b400e713ecbd08d5b75db4d7568.jpg', 'extension': 'jpg'}, 987515226: {'path': 'temp/1740584349_3116993_987515226_a18048dca1a77ae086b62cf07759f704.jpg', 'extension': 'jpg'}, 987515227: {'path': 'temp/1740584349_3116993_987515227_e9c45a0e576ec9e44c1379c3fc5fec7c.jpg', 'extension': 'jpg'}, 987515228: {'path': 'temp/1740584349_3116993_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg', 'extension': 'jpg'}, 987515230: {'path': 'temp/1740584349_3116993_987515230_846ad925884264181565c81d152a2e94.jpg', 'extension': 'jpg'}, 987515231: {'path': 'temp/1740584349_3116993_987515231_dbf4cafa71b6db4771c5c8f0c25e9cda.jpg', 'extension': 'jpg'}, 987515232: {'path': 'temp/1740584349_3116993_987515232_38db7950cdb3c674ee0ad65915b021f3.jpg', 'extension': 'jpg'}, 987515233: {'path': 'temp/1740584349_3116993_987515233_a92514bed0e8c5724f2d032d3ab1e2ad.jpg', 'extension': 'jpg'}, 987515234: {'path': 'temp/1740584349_3116993_987515234_2eca3480aed0f8b876242675ad99b666.jpg', 'extension': 'jpg'}, 987515235: {'path': 'temp/1740584349_3116993_987515235_87075955a2f76b3948b47ffe1825ecd9.jpg', 'extension': 'jpg'}, 987515236: {'path': 'temp/1740584349_3116993_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg', 'extension': 'jpg'}, 987515237: {'path': 'temp/1740584349_3116993_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg', 'extension': 'jpg'}, 987515238: {'path': 'temp/1740584349_3116993_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg', 'extension': 'jpg'}, 987515239: {'path': 'temp/1740584349_3116993_987515239_b3fa6f29636080b5138c8d8c33fea309.jpg', 'extension': 'jpg'}, 987515240: {'path': 'temp/1740584349_3116993_987515240_7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg', 'extension': 'jpg'}, 987515241: {'path': 'temp/1740584349_3116993_987515241_073420d938f5f010ffd5b4353c064e09.jpg', 'extension': 'jpg'}, 987515242: {'path': 'temp/1740584349_3116993_987515242_327abb5215d6fd1f0aad51f53ed8c324.jpg', 'extension': 'jpg'}, 987515243: {'path': 'temp/1740584349_3116993_987515243_4375283f3bc5cdaa431c2fc6f17f53a4.jpg', 'extension': 'jpg'}, 987515244: {'path': 'temp/1740584349_3116993_987515244_419530eaef5ef868f75c758b94eea4b4.jpg', 'extension': 'jpg'}, 987515245: {'path': 'temp/1740584349_3116993_987515245_757d9d208d5bd4375c5f21f68b699148.jpg', 'extension': 'jpg'}, 987515246: {'path': 'temp/1740584349_3116993_987515246_671a708f67f2efa19004b8257fc7b9c8.jpg', 'extension': 'jpg'}, 987515247: {'path': 'temp/1740584349_3116993_987515247_e47b65403df916ba909bc9c439b0af73.jpg', 'extension': 'jpg'}, 987515248: {'path': 'temp/1740584349_3116993_987515248_a70ad88462a22fb62a120721a42b2d42.jpg', 'extension': 'jpg'}, 987515249: {'path': 'temp/1740584349_3116993_987515249_a70ad88462a22fb62a120721a42b2d42.jpg', 'extension': 'jpg'}, 987515250: {'path': 'temp/1740584349_3116993_987515250_b2827c9639df69656f23abcc7f2f82d9.jpg', 'extension': 'jpg'}, 987515188: {'path': 'temp/1740584349_3116993_987515188_4116f9906657a69bb76c2fda982037b9.jpg', 'extension': 'jpg'}, 987515189: {'path': 'temp/1740584349_3116993_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg', 'extension': 'jpg'}, 987515190: {'path': 'temp/1740584349_3116993_987515190_d56932bfc6ba2a8c974c691108755017.jpg', 'extension': 'jpg'}, 987515192: {'path': 'temp/1740584349_3116993_987515192_b661073b218f5f056833d6af1c617153.jpg', 'extension': 'jpg'}, 987515193: {'path': 'temp/1740584349_3116993_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg', 'extension': 'jpg'}, 987515195: {'path': 'temp/1740584349_3116993_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg', 'extension': 'jpg'}, 987515196: {'path': 'temp/1740584349_3116993_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg', 'extension': 'jpg'}, 987515198: {'path': 'temp/1740584349_3116993_987515198_599e80f444c876f407e94b533c89360b.jpg', 'extension': 'jpg'}, 987515200: {'path': 'temp/1740584349_3116993_987515200_978964436b5d5fb0eeda17e3bfafe889.jpg', 'extension': 'jpg'}, 987515201: {'path': 'temp/1740584349_3116993_987515201_b224d2acdc7fa2bbb134c09db6bca7ce.jpg', 'extension': 'jpg'}, 987515202: {'path': 'temp/1740584349_3116993_987515202_3314bd90d1404f31b827d8925abf2d62.jpg', 'extension': 'jpg'}, 987515204: {'path': 'temp/1740584349_3116993_987515204_9779c4f9d44360a9c80499e3b01e8a09.jpg', 'extension': 'jpg'}, 987515205: {'path': 'temp/1740584349_3116993_987515205_fd4b136d0b3a9a1a347942d7191f6fea.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step Thcl !
multi_thcl or not :False
multi_thcl_cond or not :False
dic_thcl :  {'1528': 1}
we are using the classfication for only one thcl
1528


In convert_file_to_np l 337 : 7
 l343 7
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
In convert_file_to_np l 337 : 1
 l343 1
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
In convert_file_to_np l 337 : 7
 l343 7
In convert_file_to_np l 337 : 7
 l343 7
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
In convert_file_to_np l 337 : 7
 l343 7
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.0001838207244873047
time to convert the images to numpy array :  0.0061724185943603516
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
In convert_file_to_np l 337 : 7
 l343 7
In convert_file_to_np l 337 : 7
 l343 7
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
In convert_file_to_np l 337 : 7
 l343 7
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
In convert_file_to_np l 337 : 7
 l343 7
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.000576019287109375
time to convert the images to numpy array :  0.04472470283508301
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.013098716735839844
time to convert the images to numpy array :  0.038533926010131836
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.008937597274780273
time to convert the images to numpy array :  0.046478271484375
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.013928413391113281
time to convert the images to numpy array :  0.04168057441711426
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.00927877426147461
time to convert the images to numpy array :  0.04652118682861328
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.01371622085571289
time to convert the images to numpy array :  0.05039858818054199
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.012613058090209961
time to convert the images to numpy array :  0.04436135292053223
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.014922142028808594
time to convert the images to numpy array :  0.049993038177490234
l357 after caffe.io.load_image
dimension du image : (3, (224, 224, 3))
dimension displayed !
time to import caffe and check if the image exist :  0.01383519172668457
time to convert the images to numpy array :  0.042243003845214844
 
p l@total time to convert the images to numpy array :  0.07504701614379883
list photo_ids error:
[]
list photo_ids correct :
[987515205, 987515207, 987515208, 987515209, 987515211, 987515212, 987515213, 987515215, 987515249, 987515250, 987515188, 987515189, 987515190, 987515192, 987515193, 987515183, 987515184, 987515185, 987515186, 987515187, 987515224, 987515226, 987515227, 987515228, 987515230, 987515231, 987515232, 987515233, 987515234, 987515235, 987515236, 987515237, 987515238, 987515239, 987515240, 987515241, 987515216, 987515217, 987515219, 987515220, 987515222, 987515223, 987515175, 987515242, 987515243, 987515244, 987515245, 987515246, 987515247, 987515248, 987515176, 987515177, 987515178, 987515179, 987515180, 987515181, 987515182, 987515195, 987515196, 987515198, 987515200, 987515201, 987515202, 987515204]
number of photos to traite : 64
try to delete the photos incorrect in DB

tagging for thcl : 1528
To do loadFromThcl(), then load ParamDescType : thcl1528
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (1528) 
 thcls : [{'id': 1528, 'mtr_user_id': 31, 'name': 'learn_refus_upm_blanches_1924', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Autre_Environement,Carton,Kraft,Lointain_Papier_Magazine,Metal,Papier_Magazine,Plastique,Sol_Environement,Teint_Dans_La_Masse,autre_refus', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 1927, 'photo_desc_type': 4421, 'type_classification': 'caffe', 'hashtag_id_list': '2107752388,492774966,493202403,2107752389,492628673,2107752386,492725882,2107752387,2107752385,2107752406'}]
 thcl {'id': 1528, 'mtr_user_id': 31, 'name': 'learn_refus_upm_blanches_1924', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Autre_Environement,Carton,Kraft,Lointain_Papier_Magazine,Metal,Papier_Magazine,Plastique,Sol_Environement,Teint_Dans_La_Masse,autre_refus', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 1927, 'photo_desc_type': 4421, 'type_classification': 'caffe', 'hashtag_id_list': '2107752388,492774966,493202403,2107752389,492628673,2107752386,492725882,2107752387,2107752385,2107752406'}
 Update svm_hashtag_type_desc : 4421
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (4421)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (4421, 'learn_refus_upm_blanches_1924', 16384, 25088, 'learn_refus_upm_blanches_1924', 'res5b', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2019, 10, 22, 17, 39, 25), datetime.datetime(2019, 10, 22, 17, 39, 25))
To loadFromThcl() : net_4421
begin to check gpu status 
inside check gpu memory
l 3637 free memory gpu now : 2500  max_wait_temp :  1 max_wait :  0
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (4421)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (4421, 'learn_refus_upm_blanches_1924', 16384, 25088, 'learn_refus_upm_blanches_1924', 'res5b', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2019, 10, 22, 17, 39, 25), datetime.datetime(2019, 10, 22, 17, 39, 25))
 param : <mtr.database_queries.descriptor_queries.ParamDescriptorType object at 0x7f2d76eaf8e0>, param.caffemodel : learn_refus_upm_blanches_1924
None
 mean_file_type : 
 mean_file_path : 
 prototxt_file_path : 
 model : learn_refus_upm_blanches_1924
 Inside get_net  
 Inside get_net before cache_data_model 
model_param file didn't exist 
 Inside get_net before  CDM.load_model_par_type  
model_name : learn_refus_upm_blanches_1924
model_type : caffe
list file need :
['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file exist in s3 :
['caffemodel', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file manque in s3 : 
['deploy_conv_normal.prototxt', 'deploy_fc.prototxt']
local folder  : /data/models_weight/learn_refus_upm_blanches_1924


/data/models_weight/learn_refus_upm_blanches_1924/caffemodel
size_local : 45774543 size in s3 : 45774543
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04
caffemodel already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/deploy.prototxt
size_local : 17312 size in s3 : 17312
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:03
deploy.prototxt already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/mean.npy
size_local : 1572992 size in s3 : 1572992
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:05
mean.npy already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/synset_words.txt
size_local : 218 size in s3 : 218
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04
synset_words.txt already exist and didn't need to update
 Inside get_net after CDM.load_model_par_type  
  After if not only_with_local_cache:
/home/admin/workarea/install/caffe_cuda8_python3/python/:/home/admin/workarea/install/darknet/:/home/admin/workarea/git/Velours/python:/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python:/home/admin/mtr/.credentials:/home/admin/workarea/install/caffe/python:/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools/:/home/admin/workarea/git/fotonowerpip/:/home/admin/workarea/install/segment-anything:/home/admin//workarea/git/pyfvs/
Here before set mode gpu
Doing nothing but we could set mode gpu
after set mode gpu
 prototxt_filename : /data/models_weight/learn_refus_upm_blanches_1924/deploy.prototxt
 caffemodel_filename : /data/models_weight/learn_refus_upm_blanches_1924/caffemodel
now we set caffe to gpu mode


 before predict
begin to check gpu status 
inside check gpu memory
l 3637 free memory gpu now : 2500  max_wait_temp :  1 max_wait :  0
dict_keys(['res5b', 'prob'])
time used to do the prepocess of the images : 0.060961246490478516
time used to do the prediction : 0.2000277042388916


save descriptor for thcl : 1528
(64, 512, 7, 7)
Got the blobs of the net
 to insert :  
[5, 7, 3, 2, 1, 2, 2, 2, 0, 0]
code_as_byte_string:b'0507030201'|
Got the blobs of the net
 to insert :  
[4, 2, 1, 2, 3, 1, 0, 1, 0, 1]
code_as_byte_string:b'0402010203'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 1, 2, 2, 0, 1, 0, 0]
code_as_byte_string:b'0000000102'|
Got the blobs of the net
 to insert :  
[1, 0, 0, 1, 1, 1, 0, 1, 1, 3]
code_as_byte_string:b'0100000101'|
Got the blobs of the net
 to insert :  
[1, 1, 2, 3, 4, 4, 1, 2, 8, 7]
code_as_byte_string:b'0101020304'|
Got the blobs of the net
 to insert :  
[6, 8, 5, 7, 7, 8, 10, 12, 12, 6]
code_as_byte_string:b'0608050707'|
Got the blobs of the net
 to insert :  
[6, 8, 5, 7, 7, 8, 10, 12, 12, 6]
code_as_byte_string:b'0608050707'|
Got the blobs of the net
 to insert :  
[5, 5, 4, 3, 5, 6, 3, 4, 3, 3]
code_as_byte_string:b'0505040305'|
Got the blobs of the net
 to insert :  
[4, 1, 3, 4, 7, 3, 4, 2, 1, 0]
code_as_byte_string:b'0401030407'|
Got the blobs of the net
 to insert :  
[3, 3, 1, 4, 7, 7, 9, 6, 2, 1]
code_as_byte_string:b'0303010407'|
Got the blobs of the net
 to insert :  
[1, 1, 1, 2, 0, 3, 4, 3, 4, 5]
code_as_byte_string:b'0101010200'|
Got the blobs of the net
 to insert :  
[3, 2, 1, 4, 5, 7, 6, 5, 6, 5]
code_as_byte_string:b'0302010405'|
Got the blobs of the net
 to insert :  
[3, 4, 5, 5, 9, 9, 9, 9, 11, 7]
code_as_byte_string:b'0304050509'|
Got the blobs of the net
 to insert :  
[5, 3, 3, 6, 8, 12, 9, 9, 3, 5]
code_as_byte_string:b'0503030608'|
Got the blobs of the net
 to insert :  
[6, 3, 3, 0, 1, 2, 2, 5, 2, 4]
code_as_byte_string:b'0603030001'|
Got the blobs of the net
 to insert :  
[11, 8, 5, 9, 12, 14, 13, 14, 12, 6]
code_as_byte_string:b'0b0805090c'|
Got the blobs of the net
 to insert :  
[8, 7, 6, 4, 2, 1, 2, 4, 4, 4]
code_as_byte_string:b'0807060402'|
Got the blobs of the net
 to insert :  
[2, 3, 5, 5, 2, 2, 3, 0, 1, 4]
code_as_byte_string:b'0203050502'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 1, 1, 1, 3, 3, 0, 0]
code_as_byte_string:b'0000000101'|
Got the blobs of the net
 to insert :  
[3, 1, 1, 1, 1, 1, 2, 1, 1, 2]
code_as_byte_string:b'0301010101'|
Got the blobs of the net
 to insert :  
[7, 7, 3, 8, 9, 6, 7, 10, 11, 6]
code_as_byte_string:b'0707030809'|
Got the blobs of the net
 to insert :  
[3, 3, 3, 1, 6, 7, 10, 5, 3, 5]
code_as_byte_string:b'0303030106'|
Got the blobs of the net
 to insert :  
[3, 2, 2, 1, 1, 2, 2, 3, 2, 5]
code_as_byte_string:b'0302020101'|
Got the blobs of the net
 to insert :  
[1, 0, 3, 1, 0, 0, 0, 0, 0, 5]
code_as_byte_string:b'0100030100'|
Got the blobs of the net
 to insert :  
[0, 0, 2, 2, 0, 0, 0, 0, 0, 3]
code_as_byte_string:b'0000020200'|
Got the blobs of the net
 to insert :  
[1, 1, 2, 1, 0, 0, 0, 3, 6, 7]
code_as_byte_string:b'0101020100'|
Got the blobs of the net
 to insert :  
[1, 3, 3, 3, 0, 1, 5, 6, 7, 4]
code_as_byte_string:b'0103030300'|
Got the blobs of the net
 to insert :  
[5, 7, 3, 2, 5, 9, 10, 3, 5, 0]
code_as_byte_string:b'0507030205'|
Got the blobs of the net
 to insert :  
[6, 8, 3, 6, 6, 6, 5, 10, 10, 3]
code_as_byte_string:b'0608030606'|
Got the blobs of the net
 to insert :  
[1, 2, 1, 5, 7, 10, 8, 2, 2, 1]
code_as_byte_string:b'0102010507'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 1, 5, 4, 6, 3, 1, 3]
code_as_byte_string:b'0000000105'|
Got the blobs of the net
 to insert :  
[0, 2, 1, 0, 0, 0, 0, 0, 4, 2]
code_as_byte_string:b'0002010000'|
Got the blobs of the net
 to insert :  
[0, 2, 0, 1, 1, 0, 0, 0, 1, 3]
code_as_byte_string:b'0002000101'|
Got the blobs of the net
 to insert :  
[1, 1, 0, 0, 0, 0, 0, 3, 5, 1]
code_as_byte_string:b'0101000000'|
Got the blobs of the net
 to insert :  
[0, 3, 0, 1, 1, 6, 7, 5, 5, 3]
code_as_byte_string:b'0003000101'|
Got the blobs of the net
 to insert :  
[6, 6, 3, 3, 8, 8, 6, 6, 2, 0]
code_as_byte_string:b'0606030308'|
Got the blobs of the net
 to insert :  
[5, 3, 3, 1, 1, 1, 2, 2, 2, 4]
code_as_byte_string:b'0503030101'|
Got the blobs of the net
 to insert :  
[2, 1, 2, 2, 2, 0, 0, 1, 0, 3]
code_as_byte_string:b'0201020202'|
Got the blobs of the net
 to insert :  
[0, 0, 2, 3, 3, 1, 0, 0, 0, 0]
code_as_byte_string:b'0000020303'|
Got the blobs of the net
 to insert :  
[1, 0, 0, 1, 0, 0, 0, 3, 4, 5]
code_as_byte_string:b'0100000100'|
Got the blobs of the net
 to insert :  
[0, 1, 1, 4, 2, 1, 3, 7, 9, 9]
code_as_byte_string:b'0001010402'|
Got the blobs of the net
 to insert :  
[7, 10, 10, 2, 4, 7, 8, 5, 5, 2]
code_as_byte_string:b'070a0a0204'|
Got the blobs of the net
 to insert :  
[13, 9, 9, 8, 11, 13, 6, 14, 9, 18]
code_as_byte_string:b'0d0909080b'|
Got the blobs of the net
 to insert :  
[5, 5, 2, 4, 6, 5, 9, 9, 4, 2]
code_as_byte_string:b'0505020406'|
Got the blobs of the net
 to insert :  
[2, 1, 3, 5, 7, 5, 3, 4, 1, 3]
code_as_byte_string:b'0201030507'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 1, 1, 3, 2, 1, 0, 2]
code_as_byte_string:b'0000000101'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 1, 3, 1, 0]
code_as_byte_string:b'0000000000'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 1, 0, 0, 0, 0, 1, 3]
code_as_byte_string:b'0000000100'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 1, 2, 0, 1, 4, 0, 2]
code_as_byte_string:b'0000000102'|
Got the blobs of the net
 to insert :  
[4, 1, 3, 4, 7, 3, 4, 2, 1, 0]
code_as_byte_string:b'0401030407'|
Got the blobs of the net
 to insert :  
[13, 9, 9, 8, 11, 13, 6, 14, 9, 18]
code_as_byte_string:b'0d0909080b'|
Got the blobs of the net
 to insert :  
[2, 2, 6, 7, 8, 6, 4, 3, 1, 8]
code_as_byte_string:b'0202060708'|
Got the blobs of the net
 to insert :  
[1, 2, 2, 1, 0, 1, 1, 2, 1, 1]
code_as_byte_string:b'0102020100'|
Got the blobs of the net
 to insert :  
[2, 2, 1, 3, 2, 3, 2, 0, 0, 1]
code_as_byte_string:b'0202010302'|
Got the blobs of the net
 to insert :  
[1, 0, 1, 2, 1, 0, 3, 3, 3, 8]
code_as_byte_string:b'0100010201'|
Got the blobs of the net
 to insert :  
[5, 5, 6, 4, 3, 6, 9, 7, 7, 7]
code_as_byte_string:b'0505060403'|
Got the blobs of the net
 to insert :  
[4, 6, 6, 4, 7, 8, 8, 8, 12, 8]
code_as_byte_string:b'0406060407'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 2, 5, 1, 0, 0]
code_as_byte_string:b'0000000000'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 2, 5, 1, 0, 0]
code_as_byte_string:b'0000000000'|
Got the blobs of the net
 to insert :  
[1, 1, 0, 0, 1, 2, 0, 0, 0, 1]
code_as_byte_string:b'0101000001'|
Got the blobs of the net
 to insert :  
[0, 1, 0, 1, 3, 4, 2, 1, 3, 5]
code_as_byte_string:b'0001000103'|
Got the blobs of the net
 to insert :  
[3, 3, 3, 8, 7, 5, 5, 4, 5, 3]
code_as_byte_string:b'0303030807'|
Got the blobs of the net
 to insert :  
[2, 5, 4, 6, 9, 9, 10, 9, 11, 5]
code_as_byte_string:b'0205040609'|
Got the blobs of the net
 to insert :  
[5, 2, 3, 7, 5, 7, 6, 2, 4, 3]
code_as_byte_string:b'0502030705'|
time to traite the descriptors :  3.2078139781951904
Testing : ['987515205', '987515207', '987515208', '987515209', '987515211', '987515212', '987515213', '987515215', '987515249', '987515250', '987515188', '987515189', '987515190', '987515192', '987515193', '987515183', '987515184', '987515185', '987515186', '987515187', '987515224', '987515226', '987515227', '987515228', '987515230', '987515231', '987515232', '987515233', '987515234', '987515235', '987515236', '987515237', '987515238', '987515239', '987515240', '987515241', '987515216', '987515217', '987515219', '987515220', '987515222', '987515223', '987515175', '987515242', '987515243', '987515244', '987515245', '987515246', '987515247', '987515248', '987515176', '987515177', '987515178', '987515179', '987515180', '987515181', '987515182', '987515195', '987515196', '987515198', '987515200', '987515201', '987515202', '987515204']
 In select_photos_meta_from_ids: 
        SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text
        FROM MTRBack.photos
        WHERE photo_id IN (987515205,987515207,987515208,987515209,987515211,987515212,987515213,987515215,987515249,987515250,987515188,987515189,987515190,987515192,987515193,987515183,987515184,987515185,987515186,987515187,987515224,987515226,987515227,987515228,987515230,987515231,987515232,987515233,987515234,987515235,987515236,987515237,987515238,987515239,987515240,987515241,987515216,987515217,987515219,987515220,987515222,987515223,987515175,987515242,987515243,987515244,987515245,987515246,987515247,987515248,987515176,987515177,987515178,987515179,987515180,987515181,987515182,987515195,987515196,987515198,987515200,987515201,987515202,987515204) 
result : {987515175: {'photo_id': 987515175, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/8b398cba2f448622cd9657f5eb3f9796.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22062023_14_16_02_694514_0001.jpg'}, 987515176: {'photo_id': 987515176, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/8b398cba2f448622cd9657f5eb3f9796.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_144.jpg'}, 987515177: {'photo_id': 987515177, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/4a54e9967227806219ddf45d256539d8.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_176.jpg'}, 987515178: {'photo_id': 987515178, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/298b3d2bfe0fda6787b59a78e2e68867.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_208.jpg'}, 987515179: {'photo_id': 987515179, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/f7d4d1757a470f4c96dc3541eac88b9e.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_240.jpg'}, 987515180: {'photo_id': 987515180, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/776a5d7d8486ee2961bbe3a0d90f95b5.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_272.jpg'}, 987515181: {'photo_id': 987515181, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/1738c2798fb31152809ecb443ac286d6.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_304.jpg'}, 987515182: {'photo_id': 987515182, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/fe7f29bf6d13e08c3e985f91b5232178.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_336.jpg'}, 987515183: {'photo_id': 987515183, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/6aab9ca0421398b4899892c10c2594c6.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_112.jpg'}, 987515184: {'photo_id': 987515184, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/19c8c2177209a285df6014d95fe53f2c.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_144.jpg'}, 987515185: {'photo_id': 987515185, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e172d54457cabee9d7f02ee1300f3ae9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_176.jpg'}, 987515186: {'photo_id': 987515186, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/797def426440b544aa80dbd63a19234a.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_208.jpg'}, 987515187: {'photo_id': 987515187, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/9f62f98efd3caca0b9c17d27f5c70440.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_240.jpg'}, 987515188: {'photo_id': 987515188, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/4116f9906657a69bb76c2fda982037b9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_272.jpg'}, 987515189: {'photo_id': 987515189, 'url': 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'photo_origin_x_336_y_208.jpg'}, 987515247: {'photo_id': 987515247, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e47b65403df916ba909bc9c439b0af73.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_240.jpg'}, 987515248: {'photo_id': 987515248, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/a70ad88462a22fb62a120721a42b2d42.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22062023_14_16_02_694514_0002.jpg'}, 987515249: {'photo_id': 987515249, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/a70ad88462a22fb62a120721a42b2d42.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_304.jpg'}, 987515250: {'photo_id': 987515250, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b2827c9639df69656f23abcc7f2f82d9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_336.jpg'}}
list_photo_exists : [987515175, 987515176, 987515177, 987515178, 987515179, 987515180, 987515181, 987515182, 987515183, 987515184, 987515185, 987515186, 987515187, 987515188, 987515189, 987515190, 987515192, 987515193, 987515195, 987515196, 987515198, 987515200, 987515201, 987515202, 987515204, 987515205, 987515207, 987515208, 987515209, 987515211, 987515212, 987515213, 987515215, 987515216, 987515217, 987515219, 987515220, 987515222, 987515223, 987515224, 987515226, 987515227, 987515228, 987515230, 987515231, 987515232, 987515233, 987515234, 987515235, 987515236, 987515237, 987515238, 987515239, 987515240, 987515241, 987515242, 987515243, 987515244, 987515245, 987515246, 987515247, 987515248, 987515249, 987515250]
storage_type for insertDescriptorsMulti : 1
To insert : 987515205
To insert : 987515207
To insert : 987515208
To insert : 987515209
To insert : 987515211
To insert : 987515212
To insert : 987515213
To insert : 987515215
To insert : 987515249
To insert : 987515250
To insert : 987515188
To insert : 987515189
To insert : 987515190
To insert : 987515192
To insert : 987515193
To insert : 987515183
To insert : 987515184
To insert : 987515185
To insert : 987515186
To insert : 987515187
To insert : 987515224
To insert : 987515226
To insert : 987515227
To insert : 987515228
To insert : 987515230
To insert : 987515231
To insert : 987515232
To insert : 987515233
To insert : 987515234
To insert : 987515235
To insert : 987515236
To insert : 987515237
To insert : 987515238
To insert : 987515239
To insert : 987515240
To insert : 987515241
To insert : 987515216
To insert : 987515217
To insert : 987515219
To insert : 987515220
To insert : 987515222
To insert : 987515223
To insert : 987515175
To insert : 987515242
To insert : 987515243
To insert : 987515244
To insert : 987515245
To insert : 987515246
To insert : 987515247
To insert : 987515248
To insert : 987515176
To insert : 987515177
To insert : 987515178
To insert : 987515179
To insert : 987515180
To insert : 987515181
To insert : 987515182
To insert : 987515195
To insert : 987515196
To insert : 987515198
To insert : 987515200
To insert : 987515201
To insert : 987515202
To insert : 987515204
time to insert the descriptors : 16.13129949569702






After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 23.46558713912964
time spend to save output : 0.0001308917999267578
total time spend for step 1 : 23.465718030929565

step2:argmax
Wed Feb 26 16:39:35 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
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map_photo_id_path_extension : {987515207: {'path': 'temp/1740584349_3116993_987515207_de216ddb041e249524b0fb2b949064a5.jpg', 'extension': 'jpg'}, 987515208: {'path': 'temp/1740584349_3116993_987515208_a2b90cb74908aa64bbc4aae58f0c5ae8.jpg', 'extension': 'jpg'}, 987515209: {'path': 'temp/1740584349_3116993_987515209_02dfe1ae39f51994652f4a8538844aea.jpg', 'extension': 'jpg'}, 987515211: {'path': 'temp/1740584349_3116993_987515211_72cc7664d45bd40477351b9b764f1500.jpg', 'extension': 'jpg'}, 987515212: {'path': 'temp/1740584349_3116993_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'extension': 'jpg'}, 987515213: {'path': 'temp/1740584349_3116993_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'extension': 'jpg'}, 987515215: {'path': 'temp/1740584349_3116993_987515215_902ef348a7eebb9a8b87f42927347936.jpg', 'extension': 'jpg'}, 987515216: {'path': 'temp/1740584349_3116993_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg', 'extension': 'jpg'}, 987515217: {'path': 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'extension': 'jpg'}, 987515179: {'path': 'temp/1740584349_3116993_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg', 'extension': 'jpg'}, 987515180: {'path': 'temp/1740584349_3116993_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg', 'extension': 'jpg'}, 987515181: {'path': 'temp/1740584349_3116993_987515181_1738c2798fb31152809ecb443ac286d6.jpg', 'extension': 'jpg'}, 987515182: {'path': 'temp/1740584349_3116993_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg', 'extension': 'jpg'}, 987515183: {'path': 'temp/1740584349_3116993_987515183_6aab9ca0421398b4899892c10c2594c6.jpg', 'extension': 'jpg'}, 987515184: {'path': 'temp/1740584349_3116993_987515184_19c8c2177209a285df6014d95fe53f2c.jpg', 'extension': 'jpg'}, 987515185: {'path': 'temp/1740584349_3116993_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg', 'extension': 'jpg'}, 987515186: {'path': 'temp/1740584349_3116993_987515186_797def426440b544aa80dbd63a19234a.jpg', 'extension': 'jpg'}, 987515187: {'path': 'temp/1740584349_3116993_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg', 'extension': 'jpg'}, 987515224: {'path': 'temp/1740584349_3116993_987515224_e8747b400e713ecbd08d5b75db4d7568.jpg', 'extension': 'jpg'}, 987515226: {'path': 'temp/1740584349_3116993_987515226_a18048dca1a77ae086b62cf07759f704.jpg', 'extension': 'jpg'}, 987515227: {'path': 'temp/1740584349_3116993_987515227_e9c45a0e576ec9e44c1379c3fc5fec7c.jpg', 'extension': 'jpg'}, 987515228: {'path': 'temp/1740584349_3116993_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg', 'extension': 'jpg'}, 987515230: {'path': 'temp/1740584349_3116993_987515230_846ad925884264181565c81d152a2e94.jpg', 'extension': 'jpg'}, 987515231: {'path': 'temp/1740584349_3116993_987515231_dbf4cafa71b6db4771c5c8f0c25e9cda.jpg', 'extension': 'jpg'}, 987515232: {'path': 'temp/1740584349_3116993_987515232_38db7950cdb3c674ee0ad65915b021f3.jpg', 'extension': 'jpg'}, 987515233: {'path': 'temp/1740584349_3116993_987515233_a92514bed0e8c5724f2d032d3ab1e2ad.jpg', 'extension': 'jpg'}, 987515234: {'path': 'temp/1740584349_3116993_987515234_2eca3480aed0f8b876242675ad99b666.jpg', 'extension': 'jpg'}, 987515235: {'path': 'temp/1740584349_3116993_987515235_87075955a2f76b3948b47ffe1825ecd9.jpg', 'extension': 'jpg'}, 987515236: {'path': 'temp/1740584349_3116993_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg', 'extension': 'jpg'}, 987515237: {'path': 'temp/1740584349_3116993_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg', 'extension': 'jpg'}, 987515238: {'path': 'temp/1740584349_3116993_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg', 'extension': 'jpg'}, 987515239: {'path': 'temp/1740584349_3116993_987515239_b3fa6f29636080b5138c8d8c33fea309.jpg', 'extension': 'jpg'}, 987515240: {'path': 'temp/1740584349_3116993_987515240_7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg', 'extension': 'jpg'}, 987515241: {'path': 'temp/1740584349_3116993_987515241_073420d938f5f010ffd5b4353c064e09.jpg', 'extension': 'jpg'}, 987515242: {'path': 'temp/1740584349_3116993_987515242_327abb5215d6fd1f0aad51f53ed8c324.jpg', 'extension': 'jpg'}, 987515243: {'path': 'temp/1740584349_3116993_987515243_4375283f3bc5cdaa431c2fc6f17f53a4.jpg', 'extension': 'jpg'}, 987515244: {'path': 'temp/1740584349_3116993_987515244_419530eaef5ef868f75c758b94eea4b4.jpg', 'extension': 'jpg'}, 987515245: {'path': 'temp/1740584349_3116993_987515245_757d9d208d5bd4375c5f21f68b699148.jpg', 'extension': 'jpg'}, 987515246: {'path': 'temp/1740584349_3116993_987515246_671a708f67f2efa19004b8257fc7b9c8.jpg', 'extension': 'jpg'}, 987515247: {'path': 'temp/1740584349_3116993_987515247_e47b65403df916ba909bc9c439b0af73.jpg', 'extension': 'jpg'}, 987515248: {'path': 'temp/1740584349_3116993_987515248_a70ad88462a22fb62a120721a42b2d42.jpg', 'extension': 'jpg'}, 987515249: {'path': 'temp/1740584349_3116993_987515249_a70ad88462a22fb62a120721a42b2d42.jpg', 'extension': 'jpg'}, 987515250: {'path': 'temp/1740584349_3116993_987515250_b2827c9639df69656f23abcc7f2f82d9.jpg', 'extension': 'jpg'}, 987515188: {'path': 'temp/1740584349_3116993_987515188_4116f9906657a69bb76c2fda982037b9.jpg', 'extension': 'jpg'}, 987515189: {'path': 'temp/1740584349_3116993_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg', 'extension': 'jpg'}, 987515190: {'path': 'temp/1740584349_3116993_987515190_d56932bfc6ba2a8c974c691108755017.jpg', 'extension': 'jpg'}, 987515192: {'path': 'temp/1740584349_3116993_987515192_b661073b218f5f056833d6af1c617153.jpg', 'extension': 'jpg'}, 987515193: {'path': 'temp/1740584349_3116993_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg', 'extension': 'jpg'}, 987515195: {'path': 'temp/1740584349_3116993_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg', 'extension': 'jpg'}, 987515196: {'path': 'temp/1740584349_3116993_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg', 'extension': 'jpg'}, 987515198: {'path': 'temp/1740584349_3116993_987515198_599e80f444c876f407e94b533c89360b.jpg', 'extension': 'jpg'}, 987515200: {'path': 'temp/1740584349_3116993_987515200_978964436b5d5fb0eeda17e3bfafe889.jpg', 'extension': 'jpg'}, 987515201: {'path': 'temp/1740584349_3116993_987515201_b224d2acdc7fa2bbb134c09db6bca7ce.jpg', 'extension': 'jpg'}, 987515202: {'path': 'temp/1740584349_3116993_987515202_3314bd90d1404f31b827d8925abf2d62.jpg', 'extension': 'jpg'}, 987515204: {'path': 'temp/1740584349_3116993_987515204_9779c4f9d44360a9c80499e3b01e8a09.jpg', 'extension': 'jpg'}, 987515205: {'path': 'temp/1740584349_3116993_987515205_fd4b136d0b3a9a1a347942d7191f6fea.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step Argmax !
calculate argmax for thcl : 1528

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.0009434223175048828
time spend to save output : 0.00010204315185546875
total time spend for step 2 : 0.0010454654693603516

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 2
 output : {'987515205': [('987515205', 'Papier_Magazine', 0.9908503, 1927, '1528'), 'temp/1740584349_3116993_987515205_fd4b136d0b3a9a1a347942d7191f6fea.jpg'], '987515207': [('987515207', 'Papier_Magazine', 0.8745058, 1927, '1528'), 'temp/1740584349_3116993_987515207_de216ddb041e249524b0fb2b949064a5.jpg'], '987515208': [('987515208', 'Carton', 0.991707, 1927, '1528'), 'temp/1740584349_3116993_987515208_a2b90cb74908aa64bbc4aae58f0c5ae8.jpg'], '987515209': [('987515209', 'Carton', 0.96772647, 1927, '1528'), 'temp/1740584349_3116993_987515209_02dfe1ae39f51994652f4a8538844aea.jpg'], '987515211': [('987515211', 'Carton', 0.9733472, 1927, '1528'), 'temp/1740584349_3116993_987515211_72cc7664d45bd40477351b9b764f1500.jpg'], '987515212': [('987515212', 'Carton', 0.9869363, 1927, '1528'), 'temp/1740584349_3116993_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg'], '987515213': [('987515213', 'Carton', 0.98691285, 1927, '1528'), 'temp/1740584349_3116993_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg'], '987515215': [('987515215', 'Papier_Magazine', 0.9939296, 1927, '1528'), 'temp/1740584349_3116993_987515215_902ef348a7eebb9a8b87f42927347936.jpg'], '987515249': [('987515249', 'Carton', 0.98129994, 1927, '1528'), 'temp/1740584349_3116993_987515249_a70ad88462a22fb62a120721a42b2d42.jpg'], '987515250': [('987515250', 'Carton', 0.98074293, 1927, '1528'), 'temp/1740584349_3116993_987515250_b2827c9639df69656f23abcc7f2f82d9.jpg'], '987515188': [('987515188', 'Carton', 0.9956546, 1927, '1528'), 'temp/1740584349_3116993_987515188_4116f9906657a69bb76c2fda982037b9.jpg'], '987515189': [('987515189', 'Carton', 0.9977882, 1927, '1528'), 'temp/1740584349_3116993_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg'], '987515190': [('987515190', 'Carton', 0.9763017, 1927, '1528'), 'temp/1740584349_3116993_987515190_d56932bfc6ba2a8c974c691108755017.jpg'], '987515192': [('987515192', 'Papier_Magazine', 0.99991167, 1927, '1528'), 'temp/1740584349_3116993_987515192_b661073b218f5f056833d6af1c617153.jpg'], '987515193': [('987515193', 'Papier_Magazine', 0.99939644, 1927, '1528'), 'temp/1740584349_3116993_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg'], '987515183': [('987515183', 'Papier_Magazine', 0.99999225, 1927, '1528'), 'temp/1740584349_3116993_987515183_6aab9ca0421398b4899892c10c2594c6.jpg'], '987515184': [('987515184', 'Papier_Magazine', 0.99973315, 1927, '1528'), 'temp/1740584349_3116993_987515184_19c8c2177209a285df6014d95fe53f2c.jpg'], '987515185': [('987515185', 'Papier_Magazine', 0.7976286, 1927, '1528'), 'temp/1740584349_3116993_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg'], '987515186': [('987515186', 'Carton', 0.9847377, 1927, '1528'), 'temp/1740584349_3116993_987515186_797def426440b544aa80dbd63a19234a.jpg'], '987515187': [('987515187', 'Carton', 0.98110366, 1927, '1528'), 'temp/1740584349_3116993_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg'], '987515224': [('987515224', 'Carton', 0.9090377, 1927, '1528'), 'temp/1740584349_3116993_987515224_e8747b400e713ecbd08d5b75db4d7568.jpg'], '987515226': [('987515226', 'Papier_Magazine', 0.9869703, 1927, '1528'), 'temp/1740584349_3116993_987515226_a18048dca1a77ae086b62cf07759f704.jpg'], '987515227': [('987515227', 'Papier_Magazine', 0.9004048, 1927, '1528'), 'temp/1740584349_3116993_987515227_e9c45a0e576ec9e44c1379c3fc5fec7c.jpg'], '987515228': [('987515228', 'Papier_Magazine', 0.52314097, 1927, '1528'), 'temp/1740584349_3116993_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg'], '987515230': [('987515230', 'Carton', 0.9994061, 1927, '1528'), 'temp/1740584349_3116993_987515230_846ad925884264181565c81d152a2e94.jpg'], '987515231': [('987515231', 'Carton', 0.9994185, 1927, '1528'), 'temp/1740584349_3116993_987515231_dbf4cafa71b6db4771c5c8f0c25e9cda.jpg'], '987515232': [('987515232', 'Carton', 0.9992449, 1927, '1528'), 'temp/1740584349_3116993_987515232_38db7950cdb3c674ee0ad65915b021f3.jpg'], '987515233': [('987515233', 'Carton', 0.9834675, 1927, '1528'), 'temp/1740584349_3116993_987515233_a92514bed0e8c5724f2d032d3ab1e2ad.jpg'], '987515234': [('987515234', 'Carton', 0.94496983, 1927, '1528'), 'temp/1740584349_3116993_987515234_2eca3480aed0f8b876242675ad99b666.jpg'], '987515235': [('987515235', 'Papier_Magazine', 0.8919465, 1927, '1528'), 'temp/1740584349_3116993_987515235_87075955a2f76b3948b47ffe1825ecd9.jpg'], '987515236': [('987515236', 'Papier_Magazine', 0.53749275, 1927, '1528'), 'temp/1740584349_3116993_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg'], '987515237': [('987515237', 'Carton', 0.77065444, 1927, '1528'), 'temp/1740584349_3116993_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg'], '987515238': [('987515238', 'Carton', 0.9995741, 1927, '1528'), 'temp/1740584349_3116993_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg'], '987515239': [('987515239', 'Carton', 0.9997836, 1927, '1528'), 'temp/1740584349_3116993_987515239_b3fa6f29636080b5138c8d8c33fea309.jpg'], '987515240': [('987515240', 'Carton', 0.99952054, 1927, '1528'), 'temp/1740584349_3116993_987515240_7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg'], '987515241': [('987515241', 'Carton', 0.98239094, 1927, '1528'), 'temp/1740584349_3116993_987515241_073420d938f5f010ffd5b4353c064e09.jpg'], '987515216': [('987515216', 'Papier_Magazine', 0.9774709, 1927, '1528'), 'temp/1740584349_3116993_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg'], '987515217': [('987515217', 'Carton', 0.5292755, 1927, '1528'), 'temp/1740584349_3116993_987515217_78877bb2c5760be28518d17f77d1c609.jpg'], '987515219': [('987515219', 'Carton', 0.9993685, 1927, '1528'), 'temp/1740584349_3116993_987515219_c2d417a5ba6ccf7c84527636f8d5eef9.jpg'], '987515220': [('987515220', 'Carton', 0.99638724, 1927, '1528'), 'temp/1740584349_3116993_987515220_e729f316c4c3b32049adfbaaa336d95c.jpg'], '987515222': [('987515222', 'Carton', 0.9974632, 1927, '1528'), 'temp/1740584349_3116993_987515222_067a027bc7402f969b6277d0dcb47eaa.jpg'], '987515223': [('987515223', 'Carton', 0.9920786, 1927, '1528'), 'temp/1740584349_3116993_987515223_ebb57f09941cd11d7ee45a9368a883c1.jpg'], '987515175': [('987515175', 'Papier_Magazine', 0.99981445, 1927, '1528'), 'temp/1740584349_3116993_987515175_8b398cba2f448622cd9657f5eb3f9796.jpg'], '987515242': [('987515242', 'Carton', 0.93570954, 1927, '1528'), 'temp/1740584349_3116993_987515242_327abb5215d6fd1f0aad51f53ed8c324.jpg'], '987515243': [('987515243', 'Papier_Magazine', 0.8740515, 1927, '1528'), 'temp/1740584349_3116993_987515243_4375283f3bc5cdaa431c2fc6f17f53a4.jpg'], '987515244': [('987515244', 'Papier_Magazine', 0.817495, 1927, '1528'), 'temp/1740584349_3116993_987515244_419530eaef5ef868f75c758b94eea4b4.jpg'], '987515245': [('987515245', 'Carton', 0.8654005, 1927, '1528'), 'temp/1740584349_3116993_987515245_757d9d208d5bd4375c5f21f68b699148.jpg'], '987515246': [('987515246', 'Carton', 0.9992306, 1927, '1528'), 'temp/1740584349_3116993_987515246_671a708f67f2efa19004b8257fc7b9c8.jpg'], '987515247': [('987515247', 'Carton', 0.9996692, 1927, '1528'), 'temp/1740584349_3116993_987515247_e47b65403df916ba909bc9c439b0af73.jpg'], '987515248': [('987515248', 'Carton', 0.9813399, 1927, '1528'), 'temp/1740584349_3116993_987515248_a70ad88462a22fb62a120721a42b2d42.jpg'], '987515176': [('987515176', 'Papier_Magazine', 0.9998134, 1927, '1528'), 'temp/1740584349_3116993_987515176_8b398cba2f448622cd9657f5eb3f9796.jpg'], '987515177': [('987515177', 'Papier_Magazine', 0.9771375, 1927, '1528'), 'temp/1740584349_3116993_987515177_4a54e9967227806219ddf45d256539d8.jpg'], '987515178': [('987515178', 'Carton', 0.8574939, 1927, '1528'), 'temp/1740584349_3116993_987515178_298b3d2bfe0fda6787b59a78e2e68867.jpg'], '987515179': [('987515179', 'Carton', 0.92685944, 1927, '1528'), 'temp/1740584349_3116993_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg'], '987515180': [('987515180', 'Carton', 0.98999083, 1927, '1528'), 'temp/1740584349_3116993_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg'], '987515181': [('987515181', 'Carton', 0.99778324, 1927, '1528'), 'temp/1740584349_3116993_987515181_1738c2798fb31152809ecb443ac286d6.jpg'], '987515182': [('987515182', 'Carton', 0.9924581, 1927, '1528'), 'temp/1740584349_3116993_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg'], '987515195': [('987515195', 'Carton', 0.9846175, 1927, '1528'), 'temp/1740584349_3116993_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg'], '987515196': [('987515196', 'Carton', 0.9846193, 1927, '1528'), 'temp/1740584349_3116993_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg'], '987515198': [('987515198', 'Carton', 0.9663502, 1927, '1528'), 'temp/1740584349_3116993_987515198_599e80f444c876f407e94b533c89360b.jpg'], '987515200': [('987515200', 'Carton', 0.986043, 1927, '1528'), 'temp/1740584349_3116993_987515200_978964436b5d5fb0eeda17e3bfafe889.jpg'], '987515201': [('987515201', 'Carton', 0.99546486, 1927, '1528'), 'temp/1740584349_3116993_987515201_b224d2acdc7fa2bbb134c09db6bca7ce.jpg'], '987515202': [('987515202', 'Carton', 0.99110526, 1927, '1528'), 'temp/1740584349_3116993_987515202_3314bd90d1404f31b827d8925abf2d62.jpg'], '987515204': [('987515204', 'Papier_Magazine', 0.99507207, 1927, '1528'), 'temp/1740584349_3116993_987515204_9779c4f9d44360a9c80499e3b01e8a09.jpg']}
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1879

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=1879
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 1879
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=1879
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : detect_points
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (987515173) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 987515173
download finish for photo 987515173
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.1127324104309082
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:detect_points
Wed Feb 26 16:39:35 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584375_3116993_987515173_91fa471b1a04f95b356afdbaf021f623.jpg': 987515173}
map_photo_id_path_extension : {987515173: {'path': 'temp/1740584375_3116993_987515173_91fa471b1a04f95b356afdbaf021f623.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step predict points !
Inside try reload !
classes : ['Autre_Environement', 'Carton', 'Kraft', 'Lointain_Papier_Magazine', 'Metal', 'Papier_Magazine', 'Plastique', 'Sol_Environement', 'Teint_Dans_La_Masse', 'autre_refus']
pht : 1927
model_name : learn_refus_upm_blanches_1924
{'id': 1528, 'mtr_user_id': 31, 'name': 'learn_refus_upm_blanches_1924', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Autre_Environement,Carton,Kraft,Lointain_Papier_Magazine,Metal,Papier_Magazine,Plastique,Sol_Environement,Teint_Dans_La_Masse,autre_refus', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 1927, 'photo_desc_type': 4421, 'type_classification': 'caffe', 'hashtag_id_list': '2107752388,492774966,493202403,2107752389,492628673,2107752386,492725882,2107752387,2107752385,2107752406'}
gpu_mode in detect_points : 1
To load net FromThcl()
model_param file didn't exist 
model_name : learn_refus_upm_blanches_1924
model_type : caffe
list file need :
['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file exist in s3 :
['caffemodel', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file manque in s3 : 
['deploy_conv_normal.prototxt', 'deploy_fc.prototxt']
local folder  : /data/models_weight/learn_refus_upm_blanches_1924


/data/models_weight/learn_refus_upm_blanches_1924/caffemodel
size_local : 45774543 size in s3 : 45774543
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04
caffemodel already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/deploy.prototxt
size_local : 17312 size in s3 : 17312
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:03
deploy.prototxt already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/mean.npy
size_local : 1572992 size in s3 : 1572992
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:05
mean.npy already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/synset_words.txt
size_local : 218 size in s3 : 218
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04
synset_words.txt already exist and didn't need to update
reshape net's input to : (224, 224)
origin shape : (10, 3, 224, 224)
after reshape : (1, 3, 224, 224)
[('data', (1, 3, 224, 224)), ('conv1', (1, 64, 112, 112)), ('pool1', (1, 64, 56, 56)), ('pool1_pool1_0_split_0', (1, 64, 56, 56)), ('pool1_pool1_0_split_1', (1, 64, 56, 56)), ('res2a_branch1', (1, 64, 56, 56)), ('res2a_branch2a', (1, 64, 56, 56)), ('res2a_branch2b', (1, 64, 56, 56)), ('res2a', (1, 64, 56, 56)), ('res2a_res2a_relu_0_split_0', (1, 64, 56, 56)), ('res2a_res2a_relu_0_split_1', (1, 64, 56, 56)), ('res2b_branch2a', (1, 64, 56, 56)), ('res2b_branch2b', (1, 64, 56, 56)), ('res2b', (1, 64, 56, 56)), ('res2b_res2b_relu_0_split_0', (1, 64, 56, 56)), ('res2b_res2b_relu_0_split_1', (1, 64, 56, 56)), ('res3a_branch1', (1, 128, 28, 28)), ('res3a_branch2a', (1, 128, 28, 28)), ('res3a_branch2b', (1, 128, 28, 28)), ('res3a', (1, 128, 28, 28)), ('res3a_res3a_relu_0_split_0', (1, 128, 28, 28)), ('res3a_res3a_relu_0_split_1', (1, 128, 28, 28)), ('res3b_branch2a', (1, 128, 28, 28)), ('res3b_branch2b', (1, 128, 28, 28)), ('res3b', (1, 128, 28, 28)), ('res3b_res3b_relu_0_split_0', (1, 128, 28, 28)), ('res3b_res3b_relu_0_split_1', (1, 128, 28, 28)), ('res4a_branch1', (1, 256, 14, 14)), ('res4a_branch2a', (1, 256, 14, 14)), ('res4a_branch2b', (1, 256, 14, 14)), ('res4a', (1, 256, 14, 14)), ('res4a_res4a_relu_0_split_0', (1, 256, 14, 14)), ('res4a_res4a_relu_0_split_1', (1, 256, 14, 14)), ('res4b_branch2a', (1, 256, 14, 14)), ('res4b_branch2b', (1, 256, 14, 14)), ('res4b', (1, 256, 14, 14)), ('res4b_res4b_relu_0_split_0', (1, 256, 14, 14)), ('res4b_res4b_relu_0_split_1', (1, 256, 14, 14)), ('res5a_branch1', (1, 512, 7, 7)), ('res5a_branch2a', (1, 512, 7, 7)), ('res5a_branch2b', (1, 512, 7, 7)), ('res5a', (1, 512, 7, 7)), ('res5a_res5a_relu_0_split_0', (1, 512, 7, 7)), ('res5a_res5a_relu_0_split_1', (1, 512, 7, 7)), ('res5b_branch2a', (1, 512, 7, 7)), ('res5b_branch2b', (1, 512, 7, 7)), ('res5b', (1, 512, 7, 7)), ('fc2019-10-22_15-02-46', (1, 10, 1, 1)), ('prob', (1, 10, 1, 1))]
set image transformer : 
About to compute detect the points : len(args) : 1
Inside predict_points step exec : nb paths : 1
treate image : temp/1740584375_3116993_987515173_91fa471b1a04f95b356afdbaf021f623.jpg

size of numpy array img : 2408584
scale method : caffe/skimage 
size of numpy array img_scale : 2408584 (448, 448, 3)
nb_h 8 nb_w 8 size of sub images : (224, 224, 3)
size of caffe_input : 38535320 (64, 3, 224, 224)
time to do the preprocess : 0.028388023376464844
time to do a prediction : 0.339493989944458
dict_keys(['prob'])
shape of output 
(64, 10, 1, 1)
shape of the out_put heatmap
(10, 8, 8)
number of sub_photos  vertical and horizon
8 8
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)
size of heatmap : (8,8)

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 1.8136584758758545
time spend to save output : 5.3882598876953125e-05
total time spend for step 1 : 1.8137123584747314

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {987515173: [(987515173, 1982, 'Autre_Environement', 112, -1, 112, -1, 6.291045809292406e-12), (987515173, 1982, 'Autre_Environement', 144, -1, 112, -1, 2.4427721997954954e-11), (987515173, 1982, 'Autre_Environement', 176, -1, 112, -1, 1.0647927872753371e-08), (987515173, 1982, 'Autre_Environement', 208, -1, 112, -1, 4.4444493596529355e-07), (987515173, 1982, 'Autre_Environement', 240, -1, 112, -1, 1.921765715451329e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 112, -1, 3.777991878450848e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 112, -1, 0.00012287701247259974), (987515173, 1982, 'Autre_Environement', 336, -1, 112, -1, 2.953325747512281e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 144, -1, 2.3532068738063572e-08), (987515173, 1982, 'Autre_Environement', 144, -1, 144, -1, 2.2078960881799503e-08), (987515173, 1982, 'Autre_Environement', 176, -1, 144, -1, 1.3784054431198456e-07), (987515173, 1982, 'Autre_Environement', 208, -1, 144, -1, 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result thcl :
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result detect_point :
{987515173: [(987515173, 1982, 'Autre_Environement', 112, -1, 112, -1, 6.291045809292406e-12), (987515173, 1982, 'Autre_Environement', 144, -1, 112, -1, 2.4427721997954954e-11), (987515173, 1982, 'Autre_Environement', 176, -1, 112, -1, 1.0647927872753371e-08), (987515173, 1982, 'Autre_Environement', 208, -1, 112, -1, 4.4444493596529355e-07), (987515173, 1982, 'Autre_Environement', 240, -1, 112, -1, 1.921765715451329e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 112, -1, 3.777991878450848e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 112, -1, 0.00012287701247259974), (987515173, 1982, 'Autre_Environement', 336, -1, 112, -1, 2.953325747512281e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 144, -1, 2.3532068738063572e-08), (987515173, 1982, 'Autre_Environement', 144, -1, 144, -1, 2.2078960881799503e-08), (987515173, 1982, 'Autre_Environement', 176, -1, 144, -1, 1.3784054431198456e-07), (987515173, 1982, 'Autre_Environement', 208, -1, 144, -1, 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2.075544216495473e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 144, -1, 0.00027528064674697816), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 144, -1, 0.00046424203901551664), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 144, -1, 0.0005295916926115751), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 144, -1, 0.00019017112208530307), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 144, -1, 0.00020526272419374436), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 176, -1, 1.4967262359277811e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 176, -1, 6.7685537032957654e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 176, -1, 2.109224078594707e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 176, -1, 2.4161909095710143e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 176, -1, 3.545819708961062e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 176, -1, 7.936775364214554e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 176, -1, 0.0001007411046884954), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 176, -1, 0.000377694726921618), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 208, -1, 1.5122360309760552e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 208, -1, 1.4700103747600224e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 208, -1, 4.7172216000035405e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 208, -1, 3.838903012365336e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 208, -1, 3.656916305772029e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 208, -1, 1.1717054803739302e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 208, -1, 1.3361439414438792e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 208, -1, 5.952684296062216e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 240, -1, 4.2287123505957425e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 240, -1, 5.320758191373898e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 240, -1, 3.904323875758564e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 240, -1, 2.405962277407525e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 240, -1, 5.768094069935614e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 240, -1, 2.105764542648103e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 240, -1, 1.781553692126181e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 240, -1, 2.2714724764227867e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 272, -1, 0.0002018972736550495), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 272, -1, 6.705855048494413e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 272, -1, 4.3456613639136776e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 272, -1, 1.4608283890993334e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 272, -1, 7.086031473590992e-06), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 272, -1, 1.5520576198468916e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 272, -1, 1.546510793559719e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 272, -1, 0.0001040639472194016), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 304, -1, 9.533254342386499e-05), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 304, -1, 0.00010955341713270172), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 304, -1, 0.00015783404523972422), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 304, -1, 0.000541390385478735), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 304, -1, 0.0023024333640933037), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 304, -1, 0.00743902800604701), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 304, -1, 0.0059119644574820995), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 304, -1, 0.004478077869862318), (987515173, 1982, 'Teint_Dans_La_Masse', 112, -1, 336, -1, 0.0002402187674306333), (987515173, 1982, 'Teint_Dans_La_Masse', 144, -1, 336, -1, 0.002002252032980323), (987515173, 1982, 'Teint_Dans_La_Masse', 176, -1, 336, -1, 0.0007502915104851127), (987515173, 1982, 'Teint_Dans_La_Masse', 208, -1, 336, -1, 0.0032523348927497864), (987515173, 1982, 'Teint_Dans_La_Masse', 240, -1, 336, -1, 0.06414870172739029), (987515173, 1982, 'Teint_Dans_La_Masse', 272, -1, 336, -1, 0.03836644068360329), (987515173, 1982, 'Teint_Dans_La_Masse', 304, -1, 336, -1, 0.0388047955930233), (987515173, 1982, 'Teint_Dans_La_Masse', 336, -1, 336, -1, 0.005890639964491129), (987515173, 1982, 'autre_refus', 112, -1, 112, -1, 5.836088279309593e-10), (987515173, 1982, 'autre_refus', 144, -1, 112, -1, 2.0606007566925655e-08), (987515173, 1982, 'autre_refus', 176, -1, 112, -1, 1.4448667116084835e-06), (987515173, 1982, 'autre_refus', 208, -1, 112, -1, 9.208841947838664e-05), (987515173, 1982, 'autre_refus', 240, -1, 112, -1, 0.00021745703998021781), (987515173, 1982, 'autre_refus', 272, -1, 112, -1, 0.0017537137027829885), (987515173, 1982, 'autre_refus', 304, -1, 112, -1, 0.017713647335767746), (987515173, 1982, 'autre_refus', 336, -1, 112, -1, 0.008991098962724209), (987515173, 1982, 'autre_refus', 112, -1, 144, -1, 9.126945883508597e-07), (987515173, 1982, 'autre_refus', 144, -1, 144, -1, 2.903166205214802e-06), (987515173, 1982, 'autre_refus', 176, -1, 144, -1, 1.030011844704859e-05), (987515173, 1982, 'autre_refus', 208, -1, 144, -1, 0.0001353738334728405), (987515173, 1982, 'autre_refus', 240, -1, 144, -1, 0.00034506843076087534), (987515173, 1982, 'autre_refus', 272, -1, 144, -1, 0.004949038382619619), (987515173, 1982, 'autre_refus', 304, -1, 144, -1, 0.04361608251929283), (987515173, 1982, 'autre_refus', 336, -1, 144, -1, 0.09537369012832642), (987515173, 1982, 'autre_refus', 112, -1, 176, -1, 1.5049865396576934e-05), (987515173, 1982, 'autre_refus', 144, -1, 176, -1, 0.0001276960683753714), (987515173, 1982, 'autre_refus', 176, -1, 176, -1, 0.00023738390882499516), (987515173, 1982, 'autre_refus', 208, -1, 176, -1, 0.0008112301584333181), (987515173, 1982, 'autre_refus', 240, -1, 176, -1, 0.0006558785098604858), (987515173, 1982, 'autre_refus', 272, -1, 176, -1, 0.004307537339627743), (987515173, 1982, 'autre_refus', 304, -1, 176, -1, 0.023294467478990555), (987515173, 1982, 'autre_refus', 336, -1, 176, -1, 0.018688229843974113), (987515173, 1982, 'autre_refus', 112, -1, 208, -1, 8.888719457900152e-05), (987515173, 1982, 'autre_refus', 144, -1, 208, -1, 0.00018608052050694823), (987515173, 1982, 'autre_refus', 176, -1, 208, -1, 0.0003194871242158115), (987515173, 1982, 'autre_refus', 208, -1, 208, -1, 0.000358450022758916), (987515173, 1982, 'autre_refus', 240, -1, 208, -1, 0.00019893365970347077), (987515173, 1982, 'autre_refus', 272, -1, 208, -1, 0.0002870687167160213), (987515173, 1982, 'autre_refus', 304, -1, 208, -1, 0.00020299277093727142), (987515173, 1982, 'autre_refus', 336, -1, 208, -1, 0.00024361102259717882), (987515173, 1982, 'autre_refus', 112, -1, 240, -1, 0.0002336233592359349), (987515173, 1982, 'autre_refus', 144, -1, 240, -1, 0.00010833316628122702), (987515173, 1982, 'autre_refus', 176, -1, 240, -1, 6.486674101324752e-05), (987515173, 1982, 'autre_refus', 208, -1, 240, -1, 2.525102718209382e-05), (987515173, 1982, 'autre_refus', 240, -1, 240, -1, 7.291669317055494e-05), (987515173, 1982, 'autre_refus', 272, -1, 240, -1, 0.00013979400682728738), (987515173, 1982, 'autre_refus', 304, -1, 240, -1, 8.958142279880121e-05), (987515173, 1982, 'autre_refus', 336, -1, 240, -1, 8.193127723643556e-05), (987515173, 1982, 'autre_refus', 112, -1, 272, -1, 0.00026909459847956896), (987515173, 1982, 'autre_refus', 144, -1, 272, -1, 0.0001114352053264156), (987515173, 1982, 'autre_refus', 176, -1, 272, -1, 0.00012469511420931667), (987515173, 1982, 'autre_refus', 208, -1, 272, -1, 5.120125206303783e-05), (987515173, 1982, 'autre_refus', 240, -1, 272, -1, 2.9213037123554386e-05), (987515173, 1982, 'autre_refus', 272, -1, 272, -1, 4.273451122571714e-05), (987515173, 1982, 'autre_refus', 304, -1, 272, -1, 6.830831989645958e-05), (987515173, 1982, 'autre_refus', 336, -1, 272, -1, 0.00014203738828655332), (987515173, 1982, 'autre_refus', 112, -1, 304, -1, 0.00011623426689766347), (987515173, 1982, 'autre_refus', 144, -1, 304, -1, 0.00021720495715271682), (987515173, 1982, 'autre_refus', 176, -1, 304, -1, 0.0004249032645020634), (987515173, 1982, 'autre_refus', 208, -1, 304, -1, 0.0004284509050194174), (987515173, 1982, 'autre_refus', 240, -1, 304, -1, 6.509524246212095e-05), (987515173, 1982, 'autre_refus', 272, -1, 304, -1, 3.178735278197564e-05), (987515173, 1982, 'autre_refus', 304, -1, 304, -1, 1.1681505384331103e-05), (987515173, 1982, 'autre_refus', 336, -1, 304, -1, 1.8676004401640967e-05), (987515173, 1982, 'autre_refus', 112, -1, 336, -1, 0.0002475538058206439), (987515173, 1982, 'autre_refus', 144, -1, 336, -1, 0.00047029394772835076), (987515173, 1982, 'autre_refus', 176, -1, 336, -1, 0.0003341019037179649), (987515173, 1982, 'autre_refus', 208, -1, 336, -1, 0.00023434257309418172), (987515173, 1982, 'autre_refus', 240, -1, 336, -1, 0.00010952084267046303), (987515173, 1982, 'autre_refus', 272, -1, 336, -1, 9.534918353892863e-05), (987515173, 1982, 'autre_refus', 304, -1, 336, -1, 0.00013103515084367245), (987515173, 1982, 'autre_refus', 336, -1, 336, -1, 0.0007315730908885598)]}

############################### TEST certificat_qualite_papier  ################################
TEST certificat qualite papier
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1848

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=1848
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 1848
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=1848
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Step 4442 tile have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 4441 detect_points is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 4443 count_percent_refus is not consistent : 4 used against 3 in the step definition !
Step 4444 send_mail_dechet have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : output 1 of step 4440 have datatype=1 whereas input 0 of step 4443 have datatype=2
WARNING : type of output 1 of step 4441 doesn't seem to be define in the database(
WARNING : type of input 4 of step 4443 doesn't seem to be define in the database(
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : init_dechet, tile, detect_points, count_percent_refus, brightness, blur_detection, send_mail_dechet
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (1902940) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
Catched exception !
Connect or reconnect !
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (1902940)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 987321136, 'portfolio_id': 1902940}]
 map_portfolio_id_photo_id: {1902940: [987321136]}
##### Call download_photos : nb_thread : 5
begin to download photo : 987321136
download finish for photo 987321136
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.288588285446167
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  7
step1:init_dechet
Wed Feb 26 16:39:37 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136}
map_photo_id_path_extension : {987321136: {'path': 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
debut step init detect dechets
input :  temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg
ON MODIFIE NB AVEC LE INPUT
map photo id path extension :  temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg
scale : 0.9481481481481482
FIN step init dechet

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 1 keys : dict_keys([1902940])
Inside saveOutput : final : False verbose : True
 saveOutput not yet implemented for datou_step.type : init_dechet we use saveGeneral 
[987321136]
 map_info['map_portfolio_photo'] : {1902940: [987321136]}
 final :  False mtd_id 1848 list_pids : [987321136]
Looping around the photos to save general results
len do output : 1
/987321136Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bece961f0>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bece96af0>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bece96940>
Managing all output in save final without adding information in the mtr_datou_result 
('1848', None, None, None, None, None, None, None, None)
('1848', '1902940', '987321136', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 4
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('1848', '1902940', '987321136', 'None', None, None, None, None, None)]
time used for this insertion : 0.012560606002807617
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 0.0002574920654296875
time spend to save output : 0.012878179550170898
total time spend for step 1 : 0.013135671615600586

step2:tile
Wed Feb 26 16:39:37 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {'987321136': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 input_args_next_step : {'987321136': ()}
 output_args : {'987321136': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 args : 987321136
 depend.output_id : 0
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :1, first value : ('temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg',)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136}
map_photo_id_path_extension : {987321136: {'path': 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {0: 987321136}
verbose : True
 param_json : {'token': '78d09a0790ec6ecbf119343125a81fdc', 'portfolio_name': 'tile_correct_upm', 'ETA': 86400, 'new_width': 1500, 'new_height': 20000, 'host': 'www.fotonower.com', 'protocol': 'https', 'photo_tile_type': 1522, 'option_bande': 'True'}
 type(crop_hashtag_type) : <class 'int'>
 type(crop_hashtag_type_tiled) : <class 'int'>
We consider crop_hashtag_type is an integer ! 
  map_chi_type_to_chi_type_cropped : {406: 410}
 map_filenames :  {987321136: 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg'}
 list_pids :   1
 list_pids :   2
 list_subpids to replace list_pids : 1
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 987321136,987321136,987321136) and `type` in (406) 
Loaded 0 chid ids of type : 0
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in ()
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=tile_correct_upm&access_token=78d09a0790ec6ecbf119343125a81fdc
 created feed_id_new_photos : 20846900 with name tile_correct_upm
 feed_id_new_photos : 20846900
 filename : temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg
 photo_id : 987321136
 height_image_input : 439 width_image_input : 562
 new_width : 1500 new_height : 20000
 stride : 0 stride_relative : 0.1
 chi to copy from the main photo to the tiled photo  input_chi_for_this_image_as_chi :  0
list_bib_to_crops : 1 [(0, 562, 0, 439, 0)]
calcul des nouveaux crops pour le tile x0:0,x1:562,y0:0,y1:439
chi selectionnes : []
 new_crops_tiles : 1 crop_transformed : 0
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
[(987321136, 2090988864, 1522, 0, 562, 0, 439, 1.0)]
  list_photo_ids_cropped : [987321136]
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 987321136) and `type` in (1522) 
Loaded 1 chid ids of type : 1522
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1608847328)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1608847328)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1608847328)
treat the image : temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg
, 0
before upload mediasElapsed time : 0.009717226028442383


About to upload 1 photos
upload in portfolio : 20846900
Result OK !

uploaded one batch 0 Elapsed time : 4.962453842163086


upload mediasElapsed time : 4.972222328186035

, 0insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : [(1608847328, 1339751385, 0)]
Saving 0 CHIs.
list_chi_tile : []

end of tileElapsed time : 4.98565411567688

map_pid_results : {'1339751385': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg']}

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 1 keys : dict_keys([1902940])
Inside saveOutput : final : False verbose : True
 saveOutput not yet implemented for datou_step.type : tile we use saveGeneral 
[987321136, 987321136, '1339751385']
 map_info['map_portfolio_photo'] : {1902940: [987321136]}
 final :  False mtd_id 1848 list_pids : [987321136, 987321136, '1339751385']
Looping around the photos to save general results
len do output : 1
/1339751385Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bece96bb0>
Managing all output in save final without adding information in the mtr_datou_result 
('1848', None, None, None, None, None, None, None, None)
('1848', '1902940', '987321136', None, None, None, None, None, None)
('1848', None, None, None, None, None, None, None, None)
('1848', '1902940', '987321136', None, None, None, None, None, None)
('1848', None, None, None, None, None, None, None, None)
('1848', None, '1339751385', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 4
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('1848', None, '1339751385', 'None', None, None, None, None, None), ('1848', '1902940', '987321136', None, None, None, None, None, None)]
time used for this insertion : 0.01197361946105957
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 15.69356393814087
time spend to save output : 0.012095928192138672
total time spend for step 2 : 15.705659866333008

step3:detect_points
Wed Feb 26 16:39:53 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {'1339751385': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg']}
 input_args_next_step : {'1339751385': ()}
 output_args : {'1339751385': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg']}
 args : 1339751385
 depend.output_id : 0
complete output_args for input 1 : {'987321136': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 input_args_next_step : {'1339751385': ('temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg',), '987321136': ()}
 output_args : {'987321136': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 args : 987321136
 depend.output_id : 2
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : ('temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg',)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136, 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg': 1339751385}
map_photo_id_path_extension : {987321136: {'path': 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}, 1339751385: {'path': 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg'}}
map_subphoto_mainphoto : {0: 987321136, 1339751385: 987321136}

Beginning of datou step predict points !
Inside try reload !
classes : ['Autre_Environement', 'Carton', 'Kraft', 'Lointain_Papier_Magazine', 'Metal', 'Papier_Magazine', 'Plastique', 'Sol_Environement', 'Teint_Dans_La_Masse', 'autre_refus']
pht : 1927
model_name : learn_refus_upm_blanches_1924
{'id': 1528, 'mtr_user_id': 31, 'name': 'learn_refus_upm_blanches_1924', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Autre_Environement,Carton,Kraft,Lointain_Papier_Magazine,Metal,Papier_Magazine,Plastique,Sol_Environement,Teint_Dans_La_Masse,autre_refus', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 1927, 'photo_desc_type': 4421, 'type_classification': 'caffe', 'hashtag_id_list': '2107752388,492774966,493202403,2107752389,492628673,2107752386,492725882,2107752387,2107752385,2107752406'}
gpu_mode in detect_points : False
To load net FromThcl()
model_param file didn't exist 
model_name : learn_refus_upm_blanches_1924
model_type : caffe
list file need :
['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file exist in s3 :
['caffemodel', 'deploy.prototxt', 'mean.npy', 'synset_words.txt']
file manque in s3 : 
['deploy_conv_normal.prototxt', 'deploy_fc.prototxt']
local folder  : /data/models_weight/learn_refus_upm_blanches_1924


/data/models_weight/learn_refus_upm_blanches_1924/caffemodel
size_local : 45774543 size in s3 : 45774543
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04
caffemodel already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/deploy.prototxt
size_local : 17312 size in s3 : 17312
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:03
deploy.prototxt already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/mean.npy
size_local : 1572992 size in s3 : 1572992
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:05
mean.npy already exist and didn't need to update


/data/models_weight/learn_refus_upm_blanches_1924/synset_words.txt
size_local : 218 size in s3 : 218
create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04
synset_words.txt already exist and didn't need to update
reshape net's input to : (224, 224)
origin shape : (10, 3, 224, 224)
after reshape : (1, 3, 224, 224)
[('data', (1, 3, 224, 224)), ('conv1', (1, 64, 112, 112)), ('pool1', (1, 64, 56, 56)), ('pool1_pool1_0_split_0', (1, 64, 56, 56)), ('pool1_pool1_0_split_1', (1, 64, 56, 56)), ('res2a_branch1', (1, 64, 56, 56)), ('res2a_branch2a', (1, 64, 56, 56)), ('res2a_branch2b', (1, 64, 56, 56)), ('res2a', (1, 64, 56, 56)), ('res2a_res2a_relu_0_split_0', (1, 64, 56, 56)), ('res2a_res2a_relu_0_split_1', (1, 64, 56, 56)), ('res2b_branch2a', (1, 64, 56, 56)), ('res2b_branch2b', (1, 64, 56, 56)), ('res2b', (1, 64, 56, 56)), ('res2b_res2b_relu_0_split_0', (1, 64, 56, 56)), ('res2b_res2b_relu_0_split_1', (1, 64, 56, 56)), ('res3a_branch1', (1, 128, 28, 28)), ('res3a_branch2a', (1, 128, 28, 28)), ('res3a_branch2b', (1, 128, 28, 28)), ('res3a', (1, 128, 28, 28)), ('res3a_res3a_relu_0_split_0', (1, 128, 28, 28)), ('res3a_res3a_relu_0_split_1', (1, 128, 28, 28)), ('res3b_branch2a', (1, 128, 28, 28)), ('res3b_branch2b', (1, 128, 28, 28)), ('res3b', (1, 128, 28, 28)), ('res3b_res3b_relu_0_split_0', (1, 128, 28, 28)), ('res3b_res3b_relu_0_split_1', (1, 128, 28, 28)), ('res4a_branch1', (1, 256, 14, 14)), ('res4a_branch2a', (1, 256, 14, 14)), ('res4a_branch2b', (1, 256, 14, 14)), ('res4a', (1, 256, 14, 14)), ('res4a_res4a_relu_0_split_0', (1, 256, 14, 14)), ('res4a_res4a_relu_0_split_1', (1, 256, 14, 14)), ('res4b_branch2a', (1, 256, 14, 14)), ('res4b_branch2b', (1, 256, 14, 14)), ('res4b', (1, 256, 14, 14)), ('res4b_res4b_relu_0_split_0', (1, 256, 14, 14)), ('res4b_res4b_relu_0_split_1', (1, 256, 14, 14)), ('res5a_branch1', (1, 512, 7, 7)), ('res5a_branch2a', (1, 512, 7, 7)), ('res5a_branch2b', (1, 512, 7, 7)), ('res5a', (1, 512, 7, 7)), ('res5a_res5a_relu_0_split_0', (1, 512, 7, 7)), ('res5a_res5a_relu_0_split_1', (1, 512, 7, 7)), ('res5b_branch2a', (1, 512, 7, 7)), ('res5b_branch2b', (1, 512, 7, 7)), ('res5b', (1, 512, 7, 7)), ('fc2019-10-22_15-02-46', (1, 10, 1, 1)), ('prob', (1, 10, 1, 1))]
set image transformer : 
About to compute detect the points : len(args) : 2
Inside predict_points step exec : nb paths : 1
treate image : temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg

size of numpy array img : 2960752
scale method : caffe/skimage 
size of numpy array img_scale : 2655880 (416, 532, 3)
nb_h 7 nb_w 11 size of sub images : (224, 224, 3)
size of caffe_input : 46362776 (77, 3, 224, 224)
time to do the preprocess : 0.04217267036437988
time to do a prediction : 15.251909017562866
dict_keys(['prob'])
shape of output 
(77, 10, 1, 1)
shape of the out_put heatmap
(10, 7, 11)
number of sub_photos  vertical and horizon
7 11
size of heatmap : (7,11)
size of heatmap : (7,11)
size of heatmap : (7,11)
size of heatmap : (7,11)
size of heatmap : (7,11)
size of heatmap : (7,11)
size of heatmap : (7,11)
size of heatmap : (7,11)
size of heatmap : (7,11)
size of heatmap : (7,11)

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 1 keys : dict_keys([1902940])
Inside saveOutput : final : False verbose : True
Inside savePoints : final : False verbose : True
threshold to save the result : 0.05
maximun points to save in the table mtr_datou_result for each class : 100
output flattener 5 example :  {1339751385: [(1339751385, 1945, 'Autre_Environement', 185, -1, 118, -1, 1.8337410438107327e-05), (1339751385, 1945, 'Autre_Environement', 320, -1, 118, -1, 0.0001291327498620376), (1339751385, 1945, 'Autre_Environement', 388, -1, 151, -1, 1.3445685908664018e-05), (1339751385, 1945, 'Autre_Environement', 286, -1, 185, -1, 0.00013466527161654085), (1339751385, 1945, 'Autre_Environement', 118, -1, 219, -1, 9.86390750767896e-06), (1339751385, 1945, 'Autre_Environement', 219, -1, 219, -1, 0.00038494516047649086), (1339751385, 1945, 'Autre_Environement', 354, -1, 219, -1, 0.0003431888180784881), (1339751385, 1945, 'Autre_Environement', 421, -1, 253, -1, 1.494663450785083e-07), (1339751385, 1945, 'Autre_Environement', 185, -1, 286, -1, 1.814520658172114e-07), (1339751385, 1945, 'Autre_Environement', 320, -1, 286, -1, 4.115241154067917e-06), (1339751385, 1945, 'Autre_Environement', 118, -1, 320, -1, 2.5274063397695556e-10), (1339751385, 1945, 'Autre_Environement', 253, -1, 320, -1, 1.0447603199237321e-10), (1339751385, 1945, 'Autre_Environement', 388, -1, 320, -1, 4.5192118136583304e-07), (1339751385, 1945, 'Carton', 151, -1, 118, -1, 0.9897055625915527), (1339751385, 1945, 'Carton', 286, -1, 118, -1, 0.8210961222648621), (1339751385, 1945, 'Carton', 421, -1, 118, -1, 0.4851985573768616), (1339751385, 1945, 'Carton', 219, -1, 151, -1, 0.9841372966766357), (1339751385, 1945, 'Carton', 118, -1, 185, -1, 0.9978604912757874), (1339751385, 1945, 'Carton', 185, -1, 219, -1, 0.7996194958686829), (1339751385, 1945, 'Carton', 354, -1, 219, -1, 0.13047637045383453), (1339751385, 1945, 'Carton', 286, -1, 253, -1, 0.05070793256163597), (1339751385, 1945, 'Carton', 118, -1, 286, -1, 0.31989040970802307), (1339751385, 1945, 'Carton', 219, -1, 286, -1, 0.0034983144141733646), (1339751385, 1945, 'Carton', 421, -1, 286, -1, 0.01660206913948059), (1339751385, 1945, 'Carton', 354, -1, 320, -1, 0.0016258988762274384), (1339751385, 1945, 'Kraft', 185, -1, 118, -1, 0.004793279338628054), (1339751385, 1945, 'Kraft', 286, -1, 118, -1, 0.0023909551091492176), (1339751385, 1945, 'Kraft', 421, -1, 118, -1, 0.002102428814396262), (1339751385, 1945, 'Kraft', 354, -1, 151, -1, 0.05212335288524628), (1339751385, 1945, 'Kraft', 118, -1, 185, -1, 0.0017166697653010488), (1339751385, 1945, 'Kraft', 253, -1, 185, -1, 0.04599893465638161), (1339751385, 1945, 'Kraft', 185, -1, 219, -1, 0.021099306643009186), (1339751385, 1945, 'Kraft', 388, -1, 219, -1, 6.061792737455107e-05), (1339751385, 1945, 'Kraft', 286, -1, 253, -1, 0.0037522290367633104), (1339751385, 1945, 'Kraft', 118, -1, 286, -1, 0.010319208726286888), (1339751385, 1945, 'Kraft', 219, -1, 286, -1, 5.351284926291555e-05), (1339751385, 1945, 'Kraft', 421, -1, 286, -1, 9.467339623370208e-06), (1339751385, 1945, 'Kraft', 320, -1, 320, -1, 0.00017124204896390438), (1339751385, 1945, 'Lointain_Papier_Magazine', 185, -1, 118, -1, 2.352082447032444e-06), (1339751385, 1945, 'Lointain_Papier_Magazine', 320, -1, 118, -1, 1.991412864299491e-05), (1339751385, 1945, 'Lointain_Papier_Magazine', 253, -1, 151, -1, 1.1851832823595032e-05), (1339751385, 1945, 'Lointain_Papier_Magazine', 354, -1, 185, -1, 8.877575601218268e-05), (1339751385, 1945, 'Lointain_Papier_Magazine', 118, -1, 219, -1, 2.1015976017224602e-06), (1339751385, 1945, 'Lointain_Papier_Magazine', 219, -1, 219, -1, 7.86672972026281e-05), (1339751385, 1945, 'Lointain_Papier_Magazine', 421, -1, 219, -1, 5.019426794206083e-07), (1339751385, 1945, 'Lointain_Papier_Magazine', 320, -1, 253, -1, 8.220934978453442e-05), (1339751385, 1945, 'Lointain_Papier_Magazine', 185, -1, 286, -1, 3.6812457437918056e-07), (1339751385, 1945, 'Lointain_Papier_Magazine', 388, -1, 286, -1, 3.3782250739022857e-06), (1339751385, 1945, 'Lointain_Papier_Magazine', 118, -1, 320, -1, 3.5824958555252806e-09), (1339751385, 1945, 'Lointain_Papier_Magazine', 286, -1, 320, -1, 1.2866975396264024e-07), (1339751385, 1945, 'Metal', 185, -1, 118, -1, 7.473808364011347e-05), (1339751385, 1945, 'Metal', 286, -1, 118, -1, 3.432366065680981e-05), (1339751385, 1945, 'Metal', 118, -1, 151, -1, 1.1519473446242046e-06), (1339751385, 1945, 'Metal', 354, -1, 151, -1, 0.001217490527778864), (1339751385, 1945, 'Metal', 253, -1, 185, -1, 0.001836584648117423), (1339751385, 1945, 'Metal', 421, -1, 185, -1, 3.084278432652354e-05), (1339751385, 1945, 'Metal', 185, -1, 219, -1, 0.0011127882171422243), (1339751385, 1945, 'Metal', 118, -1, 253, -1, 2.7215228328714147e-05), (1339751385, 1945, 'Metal', 354, -1, 253, -1, 0.0005037166411057115), (1339751385, 1945, 'Metal', 219, -1, 286, -1, 1.657771281315945e-05), (1339751385, 1945, 'Metal', 421, -1, 286, -1, 2.2439740860136226e-05), (1339751385, 1945, 'Metal', 151, -1, 320, -1, 1.393576087860282e-10), (1339751385, 1945, 'Metal', 320, -1, 320, -1, 3.1560623028781265e-05), (1339751385, 1945, 'Papier_Magazine', 118, -1, 118, -1, 0.001665871823206544), (1339751385, 1945, 'Papier_Magazine', 253, -1, 118, -1, 0.28050497174263), (1339751385, 1945, 'Papier_Magazine', 185, -1, 151, -1, 0.003942570183426142), (1339751385, 1945, 'Papier_Magazine', 421, -1, 151, -1, 0.9828073978424072), (1339751385, 1945, 'Papier_Magazine', 354, -1, 185, -1, 0.7690255045890808), (1339751385, 1945, 'Papier_Magazine', 286, -1, 219, -1, 0.9288092851638794), (1339751385, 1945, 'Papier_Magazine', 118, -1, 253, -1, 0.04313919320702553), (1339751385, 1945, 'Papier_Magazine', 219, -1, 253, -1, 0.8978631496429443), (1339751385, 1945, 'Papier_Magazine', 388, -1, 253, -1, 0.9886879324913025), (1339751385, 1945, 'Papier_Magazine', 151, -1, 320, -1, 0.9999996423721313), (1339751385, 1945, 'Papier_Magazine', 253, -1, 320, -1, 0.9999960660934448), (1339751385, 1945, 'Papier_Magazine', 354, -1, 320, -1, 0.9942159056663513), (1339751385, 1945, 'Plastique', 118, -1, 118, -1, 1.236031312146224e-05), (1339751385, 1945, 'Plastique', 219, -1, 118, -1, 0.00030184732167981565), (1339751385, 1945, 'Plastique', 320, -1, 118, -1, 0.0002493929350748658), (1339751385, 1945, 'Plastique', 253, -1, 185, -1, 0.007031592074781656), (1339751385, 1945, 'Plastique', 354, -1, 185, -1, 0.032503753900527954), (1339751385, 1945, 'Plastique', 185, -1, 219, -1, 0.050375860184431076), (1339751385, 1945, 'Plastique', 421, -1, 219, -1, 0.00012226666149217635), (1339751385, 1945, 'Plastique', 118, -1, 253, -1, 0.003930176142603159), (1339751385, 1945, 'Plastique', 286, -1, 253, -1, 0.0025490771513432264), (1339751385, 1945, 'Plastique', 219, -1, 286, -1, 6.120907346485183e-05), (1339751385, 1945, 'Plastique', 354, -1, 286, -1, 0.00538312504068017), (1339751385, 1945, 'Plastique', 151, -1, 320, -1, 1.8926894773674263e-10), (1339751385, 1945, 'Plastique', 421, -1, 320, -1, 0.00020204381144139916), (1339751385, 1945, 'Sol_Environement', 185, -1, 118, -1, 9.372543900099117e-06), (1339751385, 1945, 'Sol_Environement', 320, -1, 118, -1, 2.7338848667568527e-05), (1339751385, 1945, 'Sol_Environement', 118, -1, 151, -1, 2.5881729470711434e-07), (1339751385, 1945, 'Sol_Environement', 253, -1, 185, -1, 0.00011454988998593763), (1339751385, 1945, 'Sol_Environement', 354, -1, 185, -1, 0.00020838991622440517), (1339751385, 1945, 'Sol_Environement', 185, -1, 219, -1, 9.349620813736692e-05), (1339751385, 1945, 'Sol_Environement', 421, -1, 219, -1, 1.1348908657282664e-07), (1339751385, 1945, 'Sol_Environement', 118, -1, 253, -1, 7.004572921687213e-07), (1339751385, 1945, 'Sol_Environement', 320, -1, 253, -1, 5.724640504922718e-05), (1339751385, 1945, 'Sol_Environement', 219, -1, 286, -1, 3.869550369017816e-08), (1339751385, 1945, 'Sol_Environement', 388, -1, 286, -1, 6.792529802623903e-06), (1339751385, 1945, 'Sol_Environement', 151, -1, 320, -1, 2.6225014184994705e-14), (1339751385, 1945, 'Sol_Environement', 286, -1, 320, -1, 1.5886031690115487e-07), (1339751385, 1945, 'Teint_Dans_La_Masse', 185, -1, 118, -1, 0.002272234996780753), (1339751385, 1945, 'Teint_Dans_La_Masse', 286, -1, 118, -1, 0.001813237671740353), (1339751385, 1945, 'Teint_Dans_La_Masse', 388, -1, 118, -1, 0.04538803920149803), (1339751385, 1945, 'Teint_Dans_La_Masse', 118, -1, 151, -1, 0.00010940170614048839), (1339751385, 1945, 'Teint_Dans_La_Masse', 253, -1, 185, -1, 0.0056123328395187855), (1339751385, 1945, 'Teint_Dans_La_Masse', 354, -1, 185, -1, 0.15166763961315155), (1339751385, 1945, 'Teint_Dans_La_Masse', 185, -1, 219, -1, 0.0013750138459727168), (1339751385, 1945, 'Teint_Dans_La_Masse', 118, -1, 253, -1, 6.252125604078174e-05), (1339751385, 1945, 'Teint_Dans_La_Masse', 286, -1, 253, -1, 0.0018639108166098595), (1339751385, 1945, 'Teint_Dans_La_Masse', 388, -1, 253, -1, 0.001438076258637011), (1339751385, 1945, 'Teint_Dans_La_Masse', 219, -1, 286, -1, 1.016586884361459e-05), (1339751385, 1945, 'Teint_Dans_La_Masse', 151, -1, 320, -1, 3.425693932967988e-07), (1339751385, 1945, 'Teint_Dans_La_Masse', 320, -1, 320, -1, 0.0020001486409455538), (1339751385, 1945, 'Teint_Dans_La_Masse', 421, -1, 320, -1, 8.311669807881117e-05), (1339751385, 1945, 'autre_refus', 185, -1, 118, -1, 0.028516046702861786), (1339751385, 1945, 'autre_refus', 354, -1, 118, -1, 0.0014720888575538993), (1339751385, 1945, 'autre_refus', 118, -1, 151, -1, 3.824138184427284e-05), (1339751385, 1945, 'autre_refus', 253, -1, 185, -1, 0.07516990602016449), (1339751385, 1945, 'autre_refus', 185, -1, 219, -1, 0.010234796442091465), (1339751385, 1945, 'autre_refus', 354, -1, 219, -1, 0.04460597038269043), (1339751385, 1945, 'autre_refus', 118, -1, 253, -1, 0.00015751634782645851), (1339751385, 1945, 'autre_refus', 286, -1, 253, -1, 0.01393966656178236), (1339751385, 1945, 'autre_refus', 219, -1, 286, -1, 4.3672833271557465e-05), (1339751385, 1945, 'autre_refus', 388, -1, 286, -1, 0.0030952864326536655), (1339751385, 1945, 'autre_refus', 151, -1, 320, -1, 1.5080686699420198e-10), (1339751385, 1945, 'autre_refus', 320, -1, 320, -1, 0.0030849112663418055)]}
hashtag or score ? = 0.9897055625915527 
hashtag or score ? = 0.8210961222648621 
hashtag or score ? = 0.4851985573768616 
hashtag or score ? = 0.9841372966766357 
hashtag or score ? = 0.9978604912757874 
hashtag or score ? = 0.7996194958686829 
hashtag or score ? = 0.13047637045383453 
hashtag or score ? = 0.05070793256163597 
hashtag or score ? = 0.31989040970802307 
hashtag or score ? = 0.05212335288524628 
hashtag or score ? = 0.28050497174263 
hashtag or score ? = 0.9828073978424072 
hashtag or score ? = 0.7690255045890808 
hashtag or score ? = 0.9288092851638794 
hashtag or score ? = 0.8978631496429443 
hashtag or score ? = 0.9886879324913025 
hashtag or score ? = 0.9999996423721313 
hashtag or score ? = 0.9999960660934448 
hashtag or score ? = 0.9942159056663513 
hashtag or score ? = 0.050375860184431076 
hashtag or score ? = 0.15166763961315155 
hashtag or score ? = 0.07516990602016449 
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
[('1339751385', '492774966', '1945', '151', '-1', '118', '-1', '0.9897055625915527'), ('1339751385', '492774966', '1945', '286', '-1', '118', '-1', '0.8210961222648621'), ('1339751385', '492774966', '1945', '421', '-1', '118', '-1', '0.4851985573768616'), ('1339751385', '492774966', '1945', '219', '-1', '151', '-1', '0.9841372966766357'), ('1339751385', '492774966', '1945', '118', '-1', '185', '-1', '0.9978604912757874'), ('1339751385', '492774966', '1945', '185', '-1', '219', '-1', '0.7996194958686829'), ('1339751385', '492774966', '1945', '354', '-1', '219', '-1', '0.13047637045383453'), ('1339751385', '492774966', '1945', '286', '-1', '253', '-1', '0.05070793256163597'), ('1339751385', '492774966', '1945', '118', '-1', '286', '-1', '0.31989040970802307'), ('1339751385', '493202403', '1945', '354', '-1', '151', '-1', '0.05212335288524628'), ('1339751385', '2107752386', '1945', '253', '-1', '118', '-1', '0.28050497174263'), ('1339751385', '2107752386', '1945', '421', '-1', '151', '-1', '0.9828073978424072'), ('1339751385', '2107752386', '1945', '354', '-1', '185', '-1', '0.7690255045890808'), ('1339751385', '2107752386', '1945', '286', '-1', '219', '-1', '0.9288092851638794'), ('1339751385', '2107752386', '1945', '219', '-1', '253', '-1', '0.8978631496429443'), ('1339751385', '2107752386', '1945', '388', '-1', '253', '-1', '0.9886879324913025'), ('1339751385', '2107752386', '1945', '151', '-1', '320', '-1', '0.9999996423721313'), ('1339751385', '2107752386', '1945', '253', '-1', '320', '-1', '0.9999960660934448'), ('1339751385', '2107752386', '1945', '354', '-1', '320', '-1', '0.9942159056663513'), ('1339751385', '492725882', '1945', '185', '-1', '219', '-1', '0.050375860184431076'), ('1339751385', '2107752385', '1945', '354', '-1', '185', '-1', '0.15166763961315155'), ('1339751385', '2107752406', '1945', '253', '-1', '185', '-1', '0.07516990602016449')]
final : False

save missing photos in datou_result :

time spend for datou_step_exec : 16.457981824874878
time spend to save output : 0.13341116905212402
total time spend for step 3 : 16.591392993927002

step4:count_percent_refus
Wed Feb 26 16:40:10 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {'987321136': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 input_args_next_step : {'987321136': ()}
 output_args : {'987321136': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 args : 987321136
 depend.output_id : 1
complete output_args for input 1 : {'1339751385': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg']}
 input_args_next_step : {'987321136': (987321136,), '1339751385': ()}
 output_args : {'1339751385': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg']}
 args : 1339751385
 depend.output_id : 0
complete output_args for input 2 : {'987321136': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 input_args_next_step : {'987321136': (987321136,), '1339751385': ('temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg',)}
 output_args : {'987321136': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 args : 987321136
 depend.output_id : 2
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : (987321136, 0.9481481481481482)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136, 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg': 1339751385}
map_photo_id_path_extension : {987321136: {'path': 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}, 1339751385: {'path': 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg'}}
map_subphoto_mainphoto : {0: 987321136, 1339751385: 987321136}
debut step count percent refus
args : {'987321136': (987321136, 0.9481481481481482), '1339751385': ('temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg',)}
(987321136, 0.9481481481481482)
('temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg',)
on trouve le portfolio_id = 1902940
list_photo : [987321136]
list_photo_correc : [1339751385]
debut step count percent refus
Treating photo_id : 987321136
Calcul du count_res
count res : ((492774966, 3), (2107752386, 7))
Hashtag_id :  492774966
Hashtag_id :  2107752386

We have 2 classes in this image



After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 1 keys : dict_keys([1902940])
Inside saveOutput : final : False verbose : True
map_info[mapportfolio_photo] : {1902940: [987321136]}
dans le for
photo id  : 987321136
output[photo_id] : [({'carton': 3, 'Papier_Magazine': 7}, [1339751385], {'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}, {'refus_total': 61.64383561643836, 'carton': 61.64383561643836, 'Papier_Magazine': 38.35616438356164}, 1902940)]


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 6
insert into MTRLabel.upm_carac (ol,type_carac,portfolio_id,value,material,hashtag_type) values (0,'qualipapia_surface',1902940,30.0,'refus_total',1945) on duplicate key update value= 30.0
 list_values : [['0', 'qualipapia_surface', 1902940, 30.0, 'refus_total', 1945]]
insert into MTRLabel.upm_carac (ol,type_carac,portfolio_id,value,material,hashtag_type) values (0,'qualipapia_gravi',1902940,61.64383561643836,'refus_total',1945) on duplicate key update value= 61.64383561643836
 list_values : [['0', 'qualipapia_surface', 1902940, 30.0, 'refus_total', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'refus_total', 1945]]
insert into MTRLabel.upm_carac (ol,type_carac,portfolio_id,value,material,hashtag_type) values (0,'qualipapia_surface',1902940,30.0,'carton',1945) on duplicate key update value= 30.0
 list_values : [['0', 'qualipapia_surface', 1902940, 30.0, 'refus_total', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'refus_total', 1945], ['0', 'qualipapia_surface', 1902940, 30.0, 'carton', 1945]]
insert into MTRLabel.upm_carac (ol,type_carac,portfolio_id,value,material,hashtag_type) values (0,'qualipapia_gravi',1902940,61.64383561643836,'carton',1945) on duplicate key update value= 61.64383561643836
 list_values : [['0', 'qualipapia_surface', 1902940, 30.0, 'refus_total', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'refus_total', 1945], ['0', 'qualipapia_surface', 1902940, 30.0, 'carton', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'carton', 1945]]
insert into MTRLabel.upm_carac (ol,type_carac,portfolio_id,value,material,hashtag_type) values (0,'qualipapia_surface',1902940,70.0,'Papier_Magazine',1945) on duplicate key update value= 70.0
 list_values : [['0', 'qualipapia_surface', 1902940, 30.0, 'refus_total', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'refus_total', 1945], ['0', 'qualipapia_surface', 1902940, 30.0, 'carton', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'carton', 1945], ['0', 'qualipapia_surface', 1902940, 70.0, 'Papier_Magazine', 1945]]
insert into MTRLabel.upm_carac (ol,type_carac,portfolio_id,value,material,hashtag_type) values (0,'qualipapia_gravi',1902940,38.35616438356164,'Papier_Magazine',1945) on duplicate key update value= 38.35616438356164
 list_values : [['0', 'qualipapia_surface', 1902940, 30.0, 'refus_total', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'refus_total', 1945], ['0', 'qualipapia_surface', 1902940, 30.0, 'carton', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'carton', 1945], ['0', 'qualipapia_surface', 1902940, 70.0, 'Papier_Magazine', 1945], ['0', 'qualipapia_gravi', 1902940, 38.35616438356164, 'Papier_Magazine', 1945]]
time used for this insertion : 0.7059023380279541

save missing photos in datou_result :

time spend for datou_step_exec : 0.017857789993286133
time spend to save output : 0.7061426639556885
total time spend for step 4 : 0.7240004539489746

step5:brightness
Wed Feb 26 16:40:10 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {'987321136': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 input_args_next_step : {'987321136': ()}
 output_args : {'987321136': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 args : 987321136
 depend.output_id : 0
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :1, first value : ('temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg',)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136, 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg': 1339751385}
map_photo_id_path_extension : {987321136: {'path': 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}, 1339751385: {'path': 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg'}}
map_subphoto_mainphoto : {0: 987321136, 1339751385: 987321136}
inside step calcul brightness
treat image : temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg
pour la photo_id : -0.39870825574700136, le score de luminosite est de 987321136
brightness_score : {987321136: [(987321136, -0.39870825574700136, 496442774)]}

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 1 keys : dict_keys([1902940])
Inside saveOutput : final : False verbose : True
select photo_hashtag_type from MTRDatou.classification_theme where id = 1154


begin to insert list_values into class_photo_scores : 
length of list_valuse in save_photo_hashtag_id_thcl_score : 1
insert into MTRPhoto.class_photo_score (thcl, photo_id, hashtag_id, score) values (%s,%s,%s,%s) on duplicate key update score = values(score)
time used for this insertion : 0.021715164184570312


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 1
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s)
 first line : ('987321136', '496442774', '1426')
...
 last line : ('987321136', '496442774', '1426')
time used for this insertion : 0.010136604309082031

save missing photos in datou_result :

time spend for datou_step_exec : 0.06843829154968262
time spend to save output : 0.036682844161987305
total time spend for step 5 : 0.10512113571166992

step6:blur_detection
Wed Feb 26 16:40:11 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {'987321136': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 input_args_next_step : {'987321136': ()}
 output_args : {'987321136': ['temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]}
 args : 987321136
 depend.output_id : 0
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :1, first value : ('temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg',)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136, 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg': 1339751385}
map_photo_id_path_extension : {987321136: {'path': 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}, 1339751385: {'path': 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg'}}
map_subphoto_mainphoto : {0: 987321136, 1339751385: 987321136}
inside step blur_detection
score_blur_detection : {}
methode: ratio et variance
treat image : temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg
resize: (439, 562)
987321136 -5.392404060312662
score_blur_detection : {987321136: [(987321136, -5.392404060312662, 492609224)]}

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 1 keys : dict_keys([1902940])
Inside saveOutput : final : False verbose : True
select photo_hashtag_type from MTRDatou.classification_theme where id = 1055


begin to insert list_values into class_photo_scores : 
length of list_valuse in save_photo_hashtag_id_thcl_score : 1
insert into MTRPhoto.class_photo_score (thcl, photo_id, hashtag_id, score) values (%s,%s,%s,%s) on duplicate key update score = values(score)
time used for this insertion : 0.04817509651184082


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 1
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s)
 first line : ('987321136', '492609224', '1294')
...
 last line : ('987321136', '492609224', '1294')
time used for this insertion : 0.008530139923095703

save missing photos in datou_result :

time spend for datou_step_exec : 0.09936308860778809
time spend to save output : 0.061431169509887695
total time spend for step 6 : 0.16079425811767578

step7:send_mail_dechet
Wed Feb 26 16:40:11 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {987321136: [(987321136, -5.392404060312662, 492609224)]}
 input_args_next_step : {987321136: ()}
 output_args : {987321136: [(987321136, -5.392404060312662, 492609224)]}
 args : 987321136
 depend.output_id : 0
complete output_args for input 1 : {987321136: [(987321136, -0.39870825574700136, 496442774)]}
 input_args_next_step : {987321136: ((987321136, -5.392404060312662, 492609224),)}
 output_args : {987321136: [(987321136, -0.39870825574700136, 496442774)]}
 args : 987321136
 depend.output_id : 0
complete output_args for input 2 : {987321136: [({'carton': 3, 'Papier_Magazine': 7}, [1339751385], {'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}, {'refus_total': 61.64383561643836, 'carton': 61.64383561643836, 'Papier_Magazine': 38.35616438356164}, 1902940)]}
 input_args_next_step : {987321136: ((987321136, -5.392404060312662, 492609224), (987321136, -0.39870825574700136, 496442774))}
 output_args : {987321136: [({'carton': 3, 'Papier_Magazine': 7}, [1339751385], {'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}, {'refus_total': 61.64383561643836, 'carton': 61.64383561643836, 'Papier_Magazine': 38.35616438356164}, 1902940)]}
 args : 987321136
 depend.output_id : 0
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :1, first value : ((987321136, -5.392404060312662, 492609224), (987321136, -0.39870825574700136, 496442774), ({'carton': 3, 'Papier_Magazine': 7}, [1339751385], {'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}, {'refus_total': 61.64383561643836, 'carton': 61.64383561643836, 'Papier_Magazine': 38.35616438356164}, 1902940))
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136, 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg': 1339751385}
map_photo_id_path_extension : {987321136: {'path': 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}, 1339751385: {'path': 'temp/1740584377_3116993_987321136_6a08497399a24a3041045c21475a90ea_0.jpg'}}
map_subphoto_mainphoto : {0: 987321136, 1339751385: 987321136}
dans la step send mail dechet
 list_name : ['one', 'sample', 'debug', 'board', 'détect', 'port']
corps du mail : 
<strong> La photo est  trop sombre et nette, merci de reprendre la photo <strong><br/><strong><a href='https://www.fotonower.com/image?json=false&list_photos_id=987321136' > Lien affichage photo</a></strong><br/><br/><br/><strong> Dans ces conditions de prise de photo, les r&eacute;sultats sur le tas sont les suivants : 
                                                            <br/> Le pourcentage de mati&egrave;re impropre est de 61.64 %.<br/> <br/>Pour plus de d&eacute;tails: <strong><br/><br/><strong> Teint Dans La Masse: 0%. <strong><br/><br/><strong> carton: 61.64%. <strong><br/><br/><strong> metal: 0%. <strong><br/><br/><strong> plastique: 0%. <strong><br/><br/>
senders@fotonower.com
retour de l'envoi du mail : None

After datou_step_exec type output : <class 'dict'>
map_portfolio_photo : len 1 keys : dict_keys([1902940])
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : send_mail_dechet we use saveGeneral 
[987321136, 987321136, '1339751385']
 map_info['map_portfolio_photo'] : {1902940: [987321136]}
 final :  True mtd_id 1848 list_pids : [987321136, 987321136, '1339751385']
Looping around the photos to save general results
len do output : 1
/987321136.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bed021460>
Managing all output in save final without adding information in the mtr_datou_result 
('1848', None, None, None, None, None, None, None, None)
('1848', '1902940', '987321136', None, None, None, None, None, None)
('1848', None, None, None, None, None, None, None, None)
('1848', '1902940', '987321136', None, None, None, None, None, None)
('1848', None, None, None, None, None, None, None, None)
('1848', None, '1339751385', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 4
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('1848', '1902940', '987321136', "{'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}", None, None, None, None, None), ('1848', None, '1339751385', None, None, None, None, None, None)]
time used for this insertion : 0.011602401733398438
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 0.6620221138000488
time spend to save output : 0.011836051940917969
total time spend for step 7 : 0.6738581657409668

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 2
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 7
 output : {987321136: (-110, -0.39870825574700136, -5.392404060312662, 30.0, 61.64383561643836, {'carton': 3, 'Papier_Magazine': 7}, {'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}, {'refus_total': 61.64383561643836, 'carton': 61.64383561643836, 'Papier_Magazine': 38.35616438356164}, 0.6164383561643836)}

############################### TEST image_temperature_detection  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1807

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=1807
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 1807
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=1807
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : image_temperature_detection
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (984484223) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 984484223
download finish for photo 984484223
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.12127375602722168
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:image_temperature_detection
Wed Feb 26 16:40:12 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584411_3116993_984484223_2e25dc219a9a57a9f85bcae482a80c35.jpg': 984484223}
map_photo_id_path_extension : {984484223: {'path': 'temp/1740584411_3116993_984484223_2e25dc219a9a57a9f85bcae482a80c35.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
inside step blanche_jaune_detection
treat image : temp/1740584411_3116993_984484223_2e25dc219a9a57a9f85bcae482a80c35.jpg
984484223 1.004309911525615

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.19739437103271484
time spend to save output : 5.841255187988281e-05
total time spend for step 1 : 0.19745278358459473

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {984484223: [(984484223, 1.004309911525615, 492630606)]}
{984484223: [(984484223, 1.004309911525615, 492630606)]}

############################### TEST broca  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4041

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4041
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4041
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4041
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : split_time_score
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (5205529) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (5205529)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1064921404, 'portfolio_id': 5205529}, {'photo_id': 1064921402, 'portfolio_id': 5205529}, {'photo_id': 1064921401, 'portfolio_id': 5205529}, {'photo_id': 1064921201, 'portfolio_id': 5205529}, {'photo_id': 1064921196, 'portfolio_id': 5205529}, {'photo_id': 1064919876, 'portfolio_id': 5205529}, {'photo_id': 1064919873, 'portfolio_id': 5205529}, {'photo_id': 1064919869, 'portfolio_id': 5205529}, {'photo_id': 1064919862, 'portfolio_id': 5205529}, {'photo_id': 1064919858, 'portfolio_id': 5205529}, {'photo_id': 1064919856, 'portfolio_id': 5205529}, {'photo_id': 1064919752, 'portfolio_id': 5205529}, {'photo_id': 1064919748, 'portfolio_id': 5205529}, {'photo_id': 1064919745, 'portfolio_id': 5205529}, {'photo_id': 1064919741, 'portfolio_id': 5205529}, {'photo_id': 1064919737, 'portfolio_id': 5205529}, {'photo_id': 1064919730, 'portfolio_id': 5205529}, {'photo_id': 1064919660, 'portfolio_id': 5205529}]
 map_portfolio_id_photo_id: {5205529: [1064921404, 1064921402, 1064921401, 1064921201, 1064921196, 1064919876, 1064919873, 1064919869, 1064919862, 1064919858, 1064919856, 1064919752, 1064919748, 1064919745, 1064919741, 1064919737, 1064919730, 1064919660]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.013820171356201172
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:split_time_score
Wed Feb 26 16:40:12 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
split portfolio by speed
calcul order for each photo with time
calcul time for a portfolio
query : SELECT photo_id, text FROM MTRBack.photos where photo_id in
                 (SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 5205529);
                
result : ((1064919660, 'image_01122021_10_11_30_014389.jpg'), (1064919730, 'image_01122021_10_12_17_665202.jpg'), (1064919737, 'image_01122021_10_11_40_031052.jpg'), (1064919741, 'image_01122021_10_11_34_021658.jpg'), (1064919745, 'image_01122021_10_11_32_018001.jpg'), (1064919748, 'image_01122021_10_12_27_027057.jpg'), (1064919752, 'image_01122021_10_12_24_005017.jpg'), (1064919856, 'image_01122021_10_13_13_399843.jpg'), (1064919858, 'image_01122021_10_13_04_729164.jpg'), (1064919862, 'image_01122021_10_12_56_581019.jpg'), (1064919869, 'image_01122021_10_12_29_030603.jpg'), (1064919873, 'image_01122021_10_13_30_005720.jpg'), (1064919876, 'image_01122021_10_13_22_147712.jpg'), (1064921196, 'image_01122021_10_16_18_114975.jpg'), (1064921201, 'image_01122021_10_16_14_925132.jpg'), (1064921401, 'image_01122021_10_16_57_981306.jpg'), (1064921402, 'image_01122021_10_16_53_913663.jpg'), (1064921404, 'image_01122021_10_16_47_889875.jpg'))

            INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) 
            VALUES (%s, %s, %s) on duplicate key update `order`=VALUES(`order`);
 first line : (5205529, 1064919660, 1098136690)
...
 last line : (5205529, 1064921404, 1098137007)
2021-12-01 10:11:30
2021-12-01 10:11:32
2021-12-01 10:11:30
2021-12-01 10:11:34
2021-12-01 10:11:32
2021-12-01 10:11:40
2021-12-01 10:11:34
2021-12-01 10:12:17
2021-12-01 10:11:40
2021-12-01 10:12:24
2021-12-01 10:12:17
2021-12-01 10:12:27
2021-12-01 10:12:24
2021-12-01 10:12:29
2021-12-01 10:12:27
2021-12-01 10:12:56
2021-12-01 10:12:29
2021-12-01 10:13:04
2021-12-01 10:12:56
2021-12-01 10:13:13
2021-12-01 10:13:04
2021-12-01 10:13:04
distance 1.4513659170185111
2021-12-01 10:13:13
2021-12-01 10:13:22
2021-12-01 10:13:13
2021-12-01 10:13:30
2021-12-01 10:13:22
2021-12-01 10:16:14
2021-12-01 10:13:30
2021-12-01 10:13:30
distance 8.382409567451603
2021-12-01 10:16:14
2021-12-01 10:16:18
2021-12-01 10:16:14
2021-12-01 10:16:47
2021-12-01 10:16:18
2021-12-01 10:16:53
2021-12-01 10:16:47
2021-12-01 10:16:47
distance 8.03396608896571
2021-12-01 10:16:53
2021-12-01 10:16:57
2021-12-01 10:16:53
dict_time_useful: {0: [1098136690, 1098136784, 48.864288393888884, 2.19199505125, [datetime.datetime(2021, 12, 1, 10, 11, 30), datetime.datetime(2021, 12, 1, 10, 13, 4), 94]], 1: [1098136974, 1098137007, 48.86291258986111, 2.19361357125, [datetime.datetime(2021, 12, 1, 10, 16, 14), datetime.datetime(2021, 12, 1, 10, 16, 47), 33]]}
len of dic_time_useful : 2
get gps info of PAV

                SELECT id,Y_WGS84,X_WGS84 FROM MTRLabel.info_PAV;
                
get gps info of PAV

                SELECT id,Y_WGS84,X_WGS84 FROM MTRLabel.info_PAV WHERE type_pav = "CS";
                
get gps info of PAV

                SELECT id,Y_WGS84,X_WGS84 FROM MTRLabel.info_PAV WHERE type_pav = "OM";
                
select cs_nb_photo / nb_photo, om_nb_photo / nb_photo
            from (select sum(1) as nb_photo,sum(if (tags= "[CS]",1,0)) as cs_nb_photo, sum(if (tags= "[OM]",1,0)) as om_nb_photo
            from MTRBack.photos where photo_id in
            ()) t1;
select cs_nb_photo / nb_photo, om_nb_photo / nb_photo
            from (select sum(1) as nb_photo,sum(if (tags= "[CS]",1,0)) as cs_nb_photo, sum(if (tags= "[OM]",1,0)) as om_nb_photo
            from MTRBack.photos where photo_id in
            (1064919660, 1064919745, 1064919741, 1064919737, 1064919730, 1064919752, 1064919748, 1064919869, 1064919862, 1064919858)) t1;
distance: RUEIL14CS [48.864288393888884, 2.19199505125] 16.57008455321128
(20846917, 48.864288393888884, 2.19199505125, 10, 1064919752, [datetime.datetime(2021, 12, 1, 10, 11, 30), datetime.datetime(2021, 12, 1, 10, 13, 4), 94.0], 5205529)

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.14794206619262695
time spend to save output : 0.0001239776611328125
total time spend for step 1 : 0.14806604385375977

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
{15: [(20846917, 48.864288393888884, 2.19199505125, 10, 1064919752, [datetime.datetime(2021, 12, 1, 10, 11, 30), datetime.datetime(2021, 12, 1, 10, 13, 4), 94.0], 5205529)]}
résultat du premier test BROCA :  True True

############################### TEST crop_conditional  ################################
t
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=719

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=719
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 719
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=719
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 1335 frcnn is not linked in the step_by_step architecture !
WARNING : step 1336 crop_condition is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : frcnn, crop_condition
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (1981316) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (1981316)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 950003838, 'portfolio_id': 1981316}, {'photo_id': 950003813, 'portfolio_id': 1981316}, {'photo_id': 950003812, 'portfolio_id': 1981316}, {'photo_id': 950003696, 'portfolio_id': 1981316}, {'photo_id': 950003695, 'portfolio_id': 1981316}, {'photo_id': 926687666, 'portfolio_id': 1981316}]
 map_portfolio_id_photo_id: {1981316: [950003838, 950003813, 950003812, 950003696, 950003695, 926687666]}
##### Call download_photos : nb_thread : 5
begin to download photo : 950003838
begin to download photo : 950003812
begin to download photo : 950003695
download finish for photo 950003838
begin to download photo : 950003813
download finish for photo 950003812
begin to download photo : 950003696
download finish for photo 950003695
begin to download photo : 926687666
download finish for photo 950003813
download finish for photo 926687666
download finish for photo 950003696
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 6 ; length of list_pids : 6 ; length of list_args : 6
##### After load_data_input 
time to download the photos : 0.4019474983215332
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  2
step1:frcnn
Wed Feb 26 16:40:12 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584412_3116993_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg': 950003838, 'temp/1740584412_3116993_950003813_e28be02dfcce79cce594a390a9911a0a.jpg': 950003813, 'temp/1740584412_3116993_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg': 950003695, 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg': 926687666, 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg': 950003812, 'temp/1740584412_3116993_950003696_11e3a77b72af4b332d366d98984039c7.jpg': 950003696}
map_photo_id_path_extension : {950003838: {'path': 'temp/1740584412_3116993_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg', 'extension': 'jpg'}, 950003813: {'path': 'temp/1740584412_3116993_950003813_e28be02dfcce79cce594a390a9911a0a.jpg', 'extension': 'jpg'}, 950003695: {'path': 'temp/1740584412_3116993_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg', 'extension': 'jpg'}, 926687666: {'path': 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg', 'extension': 'jpg'}, 950003812: {'path': 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg', 'extension': 'jpg'}, 950003696: {'path': 'temp/1740584412_3116993_950003696_11e3a77b72af4b332d366d98984039c7.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step Faster rcnn !
Inside try reload !
classes : ['background', 'retroviseur', 'roue', 'capot', 'pare-brise', 'vitre', 'phare', 'feu-antibrouillard', 'feu-arriere', 'poignee', 'porte', 'radiateur', 'logo-marque', 'cache-reservoir', 'plaque-immatriculation', 'pot-echappement', 'info-modele', 'essuie-glace', 'pare-choc', 'coffre', 'carrosserie-autre', 'toit', 'logo-roue', 'aile-avant', 'aile-arriere', 'autre']
pht : 757
caffemodel_name (should be vgg16_immat_307 but not used because net loaded outside in the fonction) : {'id': 685, 'mtr_user_id': 31, 'name': 'learn_piece_voiture_0808_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,retroviseur,roue,capot,pare-brise,vitre,phare,feu-antibrouillard,feu-arriere,poignee,porte,radiateur,logo-marque,cache-reservoir,plaque-immatriculation,pot-echappement,info-modele,essuie-glace,pare-choc,coffre,carrosserie-autre,toit,logo-roue,aile-avant,aile-arriere,autre', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 757, 'photo_desc_type': 3800, 'type_classification': 'caffe_faster_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}
To loadFromThcl()
model_param file didn't exist 
model_name : learn_piece_voiture_0808_v2
model_type : caffe_faster_rcnn
list file need :
['caffemodel', 'test.prototxt']
file exist in s3 :
['caffemodel', 'test.prototxt']
file manque in s3 : 
[]
local folder  : /data/models_weight/learn_piece_voiture_0808_v2


/data/models_weight/learn_piece_voiture_0808_v2/caffemodel
size_local : 350215080 size in s3 : 350215080
create time local : 2021-08-09 05:30:22 create time in s3 : 2021-08-06 19:24:16
caffemodel already exist and didn't need to update


/data/models_weight/learn_piece_voiture_0808_v2/test.prototxt
size_local : 7166 size in s3 : 7166
create time local : 2021-08-09 05:30:22 create time in s3 : 2021-08-06 19:24:16
test.prototxt already exist and didn't need to update
 prototxt : /data/models_weight/learn_piece_voiture_0808_v2/test.prototxt
 caffemodel : /data/models_weight/learn_piece_voiture_0808_v2/caffemodel


Loaded network /data/models_weight/learn_piece_voiture_0808_v2/caffemodel
About to compute detect_faster_rcnn : len(args) : 6
Inside frcnn step exec : nb paths : 6
image_path : temp/1740584412_3116993_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg
image_size (294, 285, 3)
[[[ 29  29  29]
  [ 29  29  29]
  [ 30  30  30]
  ...
  [182 172 165]
  [141 131 124]
  [103  94  90]]

 [[ 29  29  29]
  [ 29  29  29]
  [ 31  31  31]
  ...
  [231 220 212]
  [202 193 184]
  [164 154 147]]

 [[ 30  30  30]
  [ 27  27  27]
  [ 26  26  26]
  ...
  [223 211 199]
  [229 219 209]
  [228 217 209]]

 ...

 [[ 22  27  25]
  [ 16  21  19]
  [ 11  16  14]
  ...
  [166 145 123]
  [168 147 125]
  [170 149 127]]

 [[ 20  25  23]
  [ 17  22  20]
  [ 15  20  18]
  ...
  [163 142 120]
  [165 144 122]
  [166 145 123]]

 [[ 13  18  16]
  [ 17  22  20]
  [ 20  25  23]
  ...
  [162 141 119]
  [163 142 120]
  [163 142 121]]]
Detection took 0.094s for 300 object proposals
 c : aile-arriere
 list_crops.shape (29, 5)
 proba :  0.05210957
(104.30512, 64.86813, 245.03915, 262.5921)
 proba :  0.01147574
(156.05235, 154.27669, 276.97653, 234.78023)
 proba :  0.010072313
(133.8937, 191.03134, 199.79324, 262.34662)
 c : aile-avant
 list_crops.shape (30, 5)
 proba :  0.16408598
(93.39237, 110.010315, 261.19327, 244.45142)
 proba :  0.011733203
(153.08635, 215.96182, 224.00255, 288.55374)
 c : autre
 list_crops.shape (31, 5)
 c : cache-reservoir
 list_crops.shape (30, 5)
 proba :  0.016788486
(12.161453, 54.529366, 94.04522, 89.235695)
 c : capot
 list_crops.shape (24, 5)
 proba :  0.10145214
(69.29478, 0.0, 280.00394, 54.91342)
 proba :  0.0846438
(113.76028, 84.1405, 262.95236, 231.19458)
 proba :  0.040665627
(6.739479, 36.86448, 96.112625, 92.566216)
 c : carrosserie-autre
 list_crops.shape (27, 5)
 c : coffre
 list_crops.shape (23, 5)
 proba :  0.04764366
(53.506477, 0.0, 284.0, 92.371155)
 proba :  0.032662414
(10.158733, 31.722324, 95.70247, 100.61197)
 proba :  0.012152466
(235.39497, 155.04312, 284.0, 216.00726)
 c : essuie-glace
 list_crops.shape (31, 5)
 proba :  0.80935395
(149.03468, 63.964294, 284.0, 87.61502)
 proba :  0.034229156
(13.639965, 56.072735, 92.06946, 89.41708)
 proba :  0.020679923
(234.30368, 175.75925, 284.0, 231.14932)
 c : feu-antibrouillard
 list_crops.shape (33, 5)
 proba :  0.05568487
(27.496283, 50.043396, 86.946465, 89.45853)
 proba :  0.018112341
(229.45914, 178.31245, 279.93945, 220.47194)
 proba :  0.010318363
(206.26404, 260.46286, 253.11942, 293.0)
 c : feu-arriere
 list_crops.shape (34, 5)
 proba :  0.06828995
(27.726992, 49.241737, 86.89446, 88.09382)
 proba :  0.024001569
(231.7868, 177.1325, 279.96054, 219.1701)
 c : info-modele
 list_crops.shape (34, 5)
 proba :  0.015899371
(27.180511, 48.78002, 87.640175, 89.72227)
 c : logo-marque
 list_crops.shape (32, 5)
 proba :  0.010619539
(206.26956, 219.39412, 262.9508, 293.0)
 c : logo-roue
 list_crops.shape (30, 5)
 c : pare-brise
 list_crops.shape (24, 5)
 proba :  0.38032717
(84.45148, 0.0, 284.0, 80.6284)
 proba :  0.06983962
(21.855629, 45.931763, 86.830864, 90.58406)
 proba :  0.010925653
(162.28938, 212.50864, 227.27806, 293.0)
 proba :  0.010167161
(238.71928, 156.77824, 284.0, 216.5887)
 c : pare-choc
 list_crops.shape (20, 5)
 proba :  0.15663807
(75.04809, 12.050198, 284.0, 83.46385)
 proba :  0.039185483
(173.6271, 206.89478, 284.0, 287.132)
 proba :  0.029334815
(3.5342293, 39.44647, 99.709076, 103.58824)
 proba :  0.021777347
(236.46066, 158.82785, 284.0, 219.94025)
 c : phare
 list_crops.shape (33, 5)
 proba :  0.29552302
(16.085289, 55.132484, 94.4926, 87.00083)
 proba :  0.0171657
(85.87405, 17.962885, 272.26535, 68.43727)
 proba :  0.013772209
(241.58226, 159.239, 284.0, 213.74632)
 proba :  0.011597826
(207.11142, 255.55246, 262.2605, 293.0)
 c : plaque-immatriculation
 list_crops.shape (38, 5)
 proba :  0.13102569
(235.8218, 174.32056, 284.0, 225.21878)
 proba :  0.039650466
(30.735287, 49.494324, 81.558, 87.707306)
 c : poignee
 list_crops.shape (27, 5)
 c : porte
 list_crops.shape (24, 5)
 proba :  0.5999956
(23.915092, 0.0, 103.21833, 219.54736)
 proba :  0.028177328
(2.590866, 0.0, 48.60254, 196.39238)
 proba :  0.012119925
(103.53375, 0.10597992, 235.17657, 252.15701)
 c : pot-echappement
 list_crops.shape (30, 5)
 proba :  0.02132052
(228.94383, 176.45433, 280.0203, 221.25792)
 proba :  0.013256797
(208.9194, 255.16223, 263.81458, 293.0)
 proba :  0.0132410005
(26.96682, 48.158386, 87.17766, 89.947266)
 c : radiateur
 list_crops.shape (30, 5)
 c : retroviseur
 list_crops.shape (32, 5)
 proba :  0.03768087
(14.680752, 54.766907, 94.67296, 89.58861)
 proba :  0.0122300135
(210.45966, 255.86516, 263.11383, 293.0)
 proba :  0.010143721
(231.19188, 176.60593, 279.57346, 220.06174)
 c : roue
 list_crops.shape (34, 5)
 proba :  0.8120931
(146.79897, 218.47556, 218.13338, 292.02127)
 proba :  0.2797896
(135.77284, 224.51537, 169.61235, 293.0)
 proba :  0.044858553
(29.87794, 37.66584, 91.51591, 83.93834)
 proba :  0.025321452
(7.384054, 0.09272957, 44.255157, 34.973953)
 proba :  0.018805182
(234.26184, 172.02585, 277.35858, 219.30994)
 proba :  0.01128132
(206.81915, 251.68633, 258.87338, 293.0)
 c : toit
 list_crops.shape (29, 5)
 c : vitre
 list_crops.shape (32, 5)
 proba :  0.14837074
(152.66957, 220.60992, 208.97032, 293.0)
 proba :  0.034727573
(235.49127, 173.76154, 284.0, 228.07953)
 proba :  0.030398637
(138.02371, 226.151, 164.9852, 293.0)
 proba :  0.018847276
(18.038391, 51.717518, 93.86065, 87.63864)
We are managing local photo_id
image_path : temp/1740584412_3116993_950003813_e28be02dfcce79cce594a390a9911a0a.jpg
image_size (254, 229, 3)
[[[202 190 186]
  [205 193 189]
  [205 194 190]
  ...
  [ 81  70  56]
  [ 80  69  55]
  [ 78  67  53]]

 [[198 187 183]
  [200 189 185]
  [198 189 185]
  ...
  [ 50  41  28]
  [ 44  36  23]
  [ 45  36  23]]

 [[192 187 184]
  [191 186 183]
  [191 186 183]
  ...
  [ 36  30  23]
  [ 32  29  21]
  [ 33  27  20]]

 ...

 [[187 186 190]
  [186 185 189]
  [188 184 189]
  ...
  [ 43  38  35]
  [ 37  33  28]
  [ 33  28  25]]

 [[184 185 189]
  [183 184 188]
  [184 183 187]
  ...
  [ 28  23  22]
  [ 29  24  21]
  [ 33  28  27]]

 [[181 185 186]
  [180 184 185]
  [182 184 185]
  ...
  [ 23  15  16]
  [ 22  14  14]
  [ 24  16  17]]]
Detection took 0.052s for 300 object proposals
 c : aile-arriere
 list_crops.shape (29, 5)
 proba :  0.06770834
(98.06981, 150.88257, 151.93948, 223.72311)
 proba :  0.040942743
(33.3628, 90.13873, 179.12875, 182.83908)
 proba :  0.016991891
(79.351036, 122.71968, 111.49482, 230.36467)
 c : aile-avant
 list_crops.shape (30, 5)
 proba :  0.04858842
(43.71111, 17.117104, 139.32254, 207.18307)
 proba :  0.010097927
(62.039288, 104.1454, 183.72078, 182.3083)
 c : autre
 list_crops.shape (32, 5)
 c : cache-reservoir
 list_crops.shape (33, 5)
 c : capot
 list_crops.shape (22, 5)
 proba :  0.09683766
(38.03675, 75.42317, 207.1495, 166.65923)
 c : carrosserie-autre
 list_crops.shape (24, 5)
 c : coffre
 list_crops.shape (21, 5)
 proba :  0.06442195
(165.47543, 115.302925, 226.39926, 165.47601)
 c : essuie-glace
 list_crops.shape (34, 5)
 proba :  0.38611
(88.26649, 10.884133, 179.58261, 31.35617)
 proba :  0.042397782
(133.08531, 1.878562, 227.74287, 26.529007)
 proba :  0.024031648
(169.25516, 117.38337, 218.91583, 165.4332)
 proba :  0.010847327
(61.552376, 1.9378262, 117.81745, 33.00173)
 c : feu-antibrouillard
 list_crops.shape (32, 5)
 proba :  0.019599186
(168.9251, 117.95267, 219.53117, 165.8559)
 c : feu-arriere
 list_crops.shape (30, 5)
 proba :  0.022236135
(171.07376, 119.67592, 221.00983, 164.19972)
 c : info-modele
 list_crops.shape (31, 5)
 proba :  0.010201088
(168.52267, 116.051544, 219.95407, 166.43356)
 c : logo-marque
 list_crops.shape (34, 5)
 proba :  0.015149434
(154.45755, 207.10849, 180.12546, 244.77005)
 c : logo-roue
 list_crops.shape (30, 5)
 c : pare-brise
 list_crops.shape (27, 5)
 proba :  0.047091387
(168.76845, 117.31267, 222.88768, 165.84181)
 proba :  0.0136054
(53.460377, 0.0, 178.92015, 22.404362)
 proba :  0.012164195
(15.941356, 0.0, 44.896664, 48.295265)
 c : pare-choc
 list_crops.shape (23, 5)
 proba :  0.08985156
(166.06573, 118.15928, 226.88062, 168.71292)
 proba :  0.012227446
(108.197495, 130.859, 228.0, 249.22609)
 c : phare
 list_crops.shape (37, 5)
 proba :  0.013691136
(172.01491, 118.39585, 223.30797, 162.23941)
 c : plaque-immatriculation
 list_crops.shape (38, 5)
 proba :  0.051215593
(173.59492, 120.67687, 218.52519, 161.78415)
 c : poignee
 list_crops.shape (31, 5)
 c : porte
 list_crops.shape (25, 5)
 proba :  0.039305538
(4.774685, 0.0, 38.1346, 169.71074)
 proba :  0.014847141
(170.32532, 112.39737, 220.70627, 170.46353)
 proba :  0.013462986
(19.337814, 0.0, 92.45278, 176.19461)
 c : pot-echappement
 list_crops.shape (31, 5)
 proba :  0.021789068
(168.5683, 115.56213, 219.41635, 166.48593)
 proba :  0.016471788
(154.52908, 206.32002, 179.71353, 244.1043)
 c : radiateur
 list_crops.shape (30, 5)
 c : retroviseur
 list_crops.shape (34, 5)
 proba :  0.0101220375
(169.53596, 116.20805, 219.60493, 166.28847)
 c : roue
 list_crops.shape (36, 5)
 proba :  0.10635939
(83.720764, 166.04887, 133.41312, 253.0)
 proba :  0.050487995
(73.95731, 164.66745, 104.24085, 236.14453)
 proba :  0.032670747
(18.137619, 0.0, 45.99769, 33.785973)
 c : toit
 list_crops.shape (33, 5)
 c : vitre
 list_crops.shape (34, 5)
 proba :  0.02829563
(20.599422, 0.0, 45.493343, 43.05548)
 proba :  0.015352498
(170.87473, 118.45781, 221.03415, 164.49446)
We are managing local photo_id
image_path : temp/1740584412_3116993_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg
image_size (2160, 3840, 3)
[[[111 118  91]
  [113 120  93]
  [115 120  93]
  ...
  [ 23  40  37]
  [ 23  40  37]
  [ 24  41  38]]

 [[111 118  91]
  [112 119  92]
  [115 120  93]
  ...
  [ 23  40  37]
  [ 23  40  37]
  [ 23  40  37]]

 [[113 118  91]
  [114 119  92]
  [115 120  93]
  ...
  [ 22  39  36]
  [ 23  40  37]
  [ 23  40  37]]

 ...

 [[120 125  94]
  [119 124  93]
  [118 123  92]
  ...
  [ 22  36  34]
  [ 22  36  34]
  [ 23  37  35]]

 [[119 124  93]
  [119 124  93]
  [118 123  92]
  ...
  [ 22  36  34]
  [ 22  36  34]
  [ 22  36  34]]

 [[118 123  91]
  [117 122  90]
  [117 122  91]
  ...
  [ 22  36  34]
  [ 22  36  34]
  [ 22  36  34]]]
Detection took 0.559s for 300 object proposals
 c : aile-arriere
 list_crops.shape (45, 5)
 proba :  0.016381796
(3266.7012, 1031.8942, 3839.0, 1714.3202)
 proba :  0.016076537
(16.384308, 491.1001, 406.77072, 799.8467)
 proba :  0.012597913
(1997.685, 259.50937, 2506.5059, 849.0409)
 proba :  0.01102025
(51.397186, 1690.1312, 479.94528, 1966.6434)
 c : aile-avant
 list_crops.shape (41, 5)
 c : autre
 list_crops.shape (46, 5)
 c : cache-reservoir
 list_crops.shape (46, 5)
 c : capot
 list_crops.shape (38, 5)
 c : carrosserie-autre
 list_crops.shape (44, 5)
 c : coffre
 list_crops.shape (31, 5)
 c : essuie-glace
 list_crops.shape (49, 5)
 c : feu-antibrouillard
 list_crops.shape (44, 5)
 proba :  0.014232859
(3282.5847, 1219.7843, 3793.547, 1821.482)
 proba :  0.012606582
(27.952225, 498.89932, 410.00897, 789.63806)
 c : feu-arriere
 list_crops.shape (44, 5)
 proba :  0.07466787
(7.5979004, 454.2947, 376.21912, 791.584)
 proba :  0.02520592
(3284.6895, 1151.9663, 3782.7158, 1834.2422)
 proba :  0.011052847
(17.657196, 1586.685, 282.00745, 1995.7568)
 c : info-modele
 list_crops.shape (44, 5)
 proba :  0.018716201
(35.902878, 482.71964, 414.1964, 791.46533)
 c : logo-marque
 list_crops.shape (46, 5)
 proba :  0.017159704
(41.25563, 486.37653, 409.73572, 792.7176)
 c : logo-roue
 list_crops.shape (45, 5)
 c : pare-brise
 list_crops.shape (38, 5)
 proba :  0.01659984
(24.733856, 0.0, 388.8527, 684.5055)
 c : pare-choc
 list_crops.shape (35, 5)
 c : phare
 list_crops.shape (48, 5)
 c : plaque-immatriculation
 list_crops.shape (47, 5)
 proba :  0.025557889
(26.290543, 479.65533, 404.9171, 771.0727)
 proba :  0.01656289
(28.251007, 1620.7363, 299.36978, 1974.603)
 proba :  0.014695938
(18.40004, 3.5820465, 386.72748, 255.02437)
 c : poignee
 list_crops.shape (43, 5)
 c : porte
 list_crops.shape (40, 5)
 proba :  0.11933377
(1872.6986, 10.197876, 2442.9065, 862.2916)
 proba :  0.114623785
(2136.5183, 52.987274, 2855.972, 815.2811)
 proba :  0.024788622
(3234.839, 69.6236, 3823.1165, 847.8725)
 proba :  0.01381036
(109.58583, 1835.5348, 459.82013, 2159.0)
 proba :  0.01138456
(1348.9707, 1049.353, 1927.9463, 1777.0046)
 proba :  0.011384355
(3315.0266, 1115.615, 3779.0159, 1883.9001)
 proba :  0.010759607
(2525.7407, 168.73712, 3531.4868, 924.1353)
 c : pot-echappement
 list_crops.shape (43, 5)
 proba :  0.033427555
(5.112915, 1746.8113, 343.3752, 2019.3489)
 proba :  0.0106586665
(117.21933, 1863.014, 459.01144, 2155.1729)
 c : radiateur
 list_crops.shape (43, 5)
 c : retroviseur
 list_crops.shape (47, 5)
 proba :  0.018039793
(3296.6, 1200.0104, 3788.0005, 1822.6349)
 proba :  0.013667476
(13.035782, 1749.0677, 340.3158, 2015.8331)
 proba :  0.012990519
(124.46716, 1867.7966, 456.29608, 2150.5215)
 c : roue
 list_crops.shape (45, 5)
 proba :  0.58393663
(3132.742, 1107.5405, 3839.0, 1925.3503)
 proba :  0.045884743
(3481.3103, 1409.8971, 3814.2937, 1997.3817)
 proba :  0.03729818
(38.58931, 1752.0664, 339.4615, 2013.7422)
 proba :  0.02918275
(3244.3726, 40.5325, 3721.5977, 739.1964)
 proba :  0.018184902
(3167.0867, 383.67676, 3484.2917, 1016.443)
 proba :  0.012431594
(229.06992, 0.0, 685.79297, 557.63525)
 proba :  0.010361656
(2689.2117, 224.89844, 3238.8098, 934.27356)
 c : toit
 list_crops.shape (48, 5)
 c : vitre
 list_crops.shape (44, 5)
 proba :  0.018342473
(23.03627, 0.0, 379.90826, 299.26862)
 proba :  0.01421456
(3321.2432, 1194.3185, 3770.206, 1805.962)
We are managing local photo_id
image_path : temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg
image_size (480, 640, 3)
[[[36 41 44]
  [36 41 44]
  [35 40 43]
  ...
  [ 8 10 10]
  [ 8 10 10]
  [ 8 10 10]]

 [[37 42 45]
  [36 41 44]
  [35 40 43]
  ...
  [ 5  7  7]
  [ 5  7  7]
  [ 5  7  7]]

 [[37 42 45]
  [36 41 44]
  [35 40 43]
  ...
  [ 3  5  5]
  [ 4  6  6]
  [ 4  6  6]]

 ...

 [[42 47 50]
  [41 46 49]
  [40 45 48]
  ...
  [ 8 10 10]
  [ 8 10 10]
  [ 8 10 10]]

 [[41 46 49]
  [41 46 49]
  [40 45 48]
  ...
  [ 0  2  2]
  [10 12 12]
  [22 24 24]]

 [[40 45 48]
  [40 45 48]
  [40 45 48]
  ...
  [10 12 12]
  [17 19 19]
  [26 28 28]]]
Detection took 0.050s for 300 object proposals
 c : aile-arriere
 list_crops.shape (32, 5)
 proba :  0.12728338
(160.85406, 172.84921, 306.1955, 321.3941)
 proba :  0.011541637
(538.53217, 190.83354, 613.9649, 298.88687)
 proba :  0.010253866
(197.32779, 160.36578, 490.4744, 311.27066)
 c : aile-avant
 list_crops.shape (40, 5)
 proba :  0.94816756
(161.78723, 149.53793, 330.65067, 343.41867)
 proba :  0.090295635
(20.761137, 105.880936, 54.77559, 195.62871)
 proba :  0.02217444
(152.80489, 143.27928, 217.16826, 306.26)
 proba :  0.013760253
(320.70618, 330.90625, 439.32422, 414.44598)
 proba :  0.011394629
(557.7661, 199.67117, 608.66614, 270.50842)
 c : autre
 list_crops.shape (36, 5)
 proba :  0.011426562
(458.27017, 15.300144, 521.1456, 98.99606)
 c : cache-reservoir
 list_crops.shape (37, 5)
 proba :  0.029748056
(470.5678, 21.584377, 531.4682, 89.20198)
 proba :  0.025536459
(368.27548, 265.85715, 446.89822, 331.26266)
 proba :  0.014928396
(353.3316, 360.49026, 412.48737, 423.13095)
 proba :  0.014714193
(451.112, 57.61115, 523.1586, 125.93089)
 c : capot
 list_crops.shape (33, 5)
 proba :  0.9944271
(211.27615, 115.140945, 555.78735, 300.74866)
 proba :  0.23370293
(65.7927, 24.151024, 285.72968, 46.31743)
 proba :  0.03486194
(343.2433, 279.91644, 508.20355, 431.9231)
 proba :  0.017470505
(89.42261, 37.217617, 357.51508, 63.328327)
 proba :  0.010151589
(424.3773, 246.66734, 564.62164, 357.0044)
 c : carrosserie-autre
 list_crops.shape (35, 5)
 proba :  0.028549863
(454.54233, 25.083931, 523.51953, 121.40359)
 c : coffre
 list_crops.shape (31, 5)
 proba :  0.1297027
(446.42822, 19.306358, 528.3353, 117.90237)
 proba :  0.10256424
(139.8972, 45.98194, 419.5254, 192.66595)
 proba :  0.030855441
(269.2906, 161.98865, 553.9464, 348.94882)
 c : essuie-glace
 list_crops.shape (40, 5)
 proba :  0.78951603
(203.86575, 108.23365, 416.75827, 147.35837)
 proba :  0.14469576
(369.06415, 267.53088, 445.03314, 332.9541)
 proba :  0.09793849
(391.05872, 261.18787, 527.014, 318.13147)
 proba :  0.077211045
(470.47913, 22.211246, 532.077, 88.02365)
 proba :  0.035431676
(354.38516, 360.35986, 414.20328, 422.97723)
 proba :  0.014146717
(114.83712, 22.671074, 335.36826, 42.909935)
 proba :  0.012224713
(254.5795, 94.720604, 456.8187, 288.5586)
 proba :  0.010936267
(353.8431, 285.57315, 484.78928, 414.69717)
 c : feu-antibrouillard
 list_crops.shape (39, 5)
 proba :  0.21196403
(341.78433, 363.48373, 404.8489, 430.65982)
 proba :  0.05587072
(368.6642, 268.6281, 446.44247, 330.08765)
 proba :  0.025233956
(470.42978, 21.908634, 531.39856, 89.25844)
 proba :  0.023562035
(389.44705, 264.04688, 529.78955, 316.96063)
 proba :  0.016472517
(451.48822, 58.84042, 522.9115, 125.20697)
 proba :  0.010557663
(467.0045, 343.5491, 573.76294, 420.2015)
 c : feu-arriere
 list_crops.shape (39, 5)
 proba :  0.10162341
(329.6868, 259.26035, 456.72226, 315.55502)
 proba :  0.042233612
(454.30243, 28.764881, 522.90967, 104.09262)
 proba :  0.025260227
(333.50995, 352.84897, 405.05933, 425.9741)
 proba :  0.01068407
(475.5647, 341.53894, 575.44165, 420.1505)
 c : info-modele
 list_crops.shape (37, 5)
 proba :  0.07045082
(470.49036, 21.814896, 532.0457, 89.57401)
 proba :  0.038777847
(353.8287, 361.54193, 412.99466, 422.8532)
 proba :  0.033351496
(368.7097, 266.81393, 448.24106, 331.62485)
 proba :  0.023052048
(450.8423, 57.471306, 524.071, 126.33987)
 proba :  0.015794927
(390.14127, 260.85114, 533.1708, 317.53534)
 c : logo-marque
 list_crops.shape (39, 5)
 proba :  0.119388506
(352.96906, 361.31537, 412.52985, 422.7008)
 proba :  0.03297252
(470.5575, 20.779606, 530.96216, 88.80292)
 proba :  0.02751315
(370.81586, 264.58435, 447.20557, 329.63654)
 proba :  0.025024595
(397.47083, 260.82556, 526.3093, 316.55237)
 proba :  0.014329639
(584.1553, 0.74873734, 639.0, 70.736176)
 c : logo-roue
 list_crops.shape (37, 5)
 proba :  0.014609822
(353.32242, 360.72977, 413.246, 423.60696)
 proba :  0.013224384
(470.34546, 21.601276, 532.0684, 89.58252)
 c : pare-brise
 list_crops.shape (34, 5)
 proba :  0.95698476
(141.10016, 42.464073, 444.0965, 147.77164)
 proba :  0.10513762
(319.45648, 22.014717, 424.03253, 129.13031)
 proba :  0.066562645
(453.85516, 19.66209, 523.2718, 91.548294)
 proba :  0.05097311
(287.21124, 164.06291, 547.3181, 296.7362)
 proba :  0.02329178
(95.59668, 40.147346, 158.49147, 162.53864)
 c : pare-choc
 list_crops.shape (29, 5)
 proba :  0.9453951
(272.89078, 257.50613, 580.25, 444.4448)
 proba :  0.21954773
(233.49568, 224.18753, 397.77417, 411.5452)
 proba :  0.028824724
(487.97888, 17.568363, 613.42834, 120.5757)
 proba :  0.0287457
(435.95935, 307.7879, 588.67444, 426.57385)
 c : phare
 list_crops.shape (38, 5)
 proba :  0.77769345
(326.84384, 251.8901, 477.7789, 312.86716)
 proba :  0.077000216
(328.22052, 359.64093, 410.24042, 426.96753)
 proba :  0.038773466
(292.80905, 225.13571, 466.75314, 392.33908)
 proba :  0.03310849
(538.23785, 197.21333, 600.216, 303.4414)
 proba :  0.026037244
(466.65143, 20.841122, 531.7388, 84.119675)
 proba :  0.018858936
(305.6176, 209.4763, 597.7203, 307.1187)
 proba :  0.014251663
(478.92096, 344.12833, 578.627, 416.7518)
 proba :  0.011289386
(96.66842, 66.98602, 163.91077, 147.69138)
 c : plaque-immatriculation
 list_crops.shape (38, 5)
 proba :  0.23006345
(518.55505, 294.1647, 582.3379, 390.75723)
 proba :  0.033770554
(438.4432, 271.76022, 568.41956, 386.56052)
 proba :  0.025869675
(347.2025, 259.77972, 452.88293, 315.94934)
 proba :  0.021143258
(470.39008, 23.62249, 531.6139, 85.38026)
 c : poignee
 list_crops.shape (35, 5)
 proba :  0.054376677
(583.3567, 0.030948639, 639.0, 70.98566)
 proba :  0.034028996
(470.45465, 21.598423, 531.6777, 89.775604)
 proba :  0.026381666
(353.17096, 360.959, 412.89325, 423.59988)
 proba :  0.024480987
(368.0563, 266.12274, 448.05374, 332.2636)
 c : porte
 list_crops.shape (28, 5)
 proba :  0.9854108
(78.16632, 43.0793, 169.65358, 306.4464)
 proba :  0.967251
(33.645786, 44.180855, 90.64992, 241.28674)
 proba :  0.09156908
(452.36987, 19.60836, 521.0899, 113.53826)
 proba :  0.0341736
(158.7112, 46.138885, 421.3391, 212.15594)
 proba :  0.012433067
(436.9692, 223.38165, 575.0585, 403.32684)
 c : pot-echappement
 list_crops.shape (37, 5)
 proba :  0.05553658
(353.8213, 360.7031, 412.22998, 423.33902)
 proba :  0.018787999
(458.0551, 14.547672, 521.222, 99.67351)
 proba :  0.012938542
(584.39386, 0.0, 639.0, 71.100555)
 proba :  0.011318086
(466.1435, 340.33856, 575.39984, 420.87775)
 c : radiateur
 list_crops.shape (38, 5)
 c : retroviseur
 list_crops.shape (39, 5)
 proba :  0.2381369
(452.17737, 56.798313, 522.1677, 124.12506)
 proba :  0.20776848
(471.1546, 21.540642, 531.2238, 89.27358)
 proba :  0.19330977
(369.90445, 266.02075, 447.44467, 332.58276)
 proba :  0.045618508
(342.49475, 362.45816, 404.127, 431.03506)
 proba :  0.026580827
(176.91798, 115.94973, 409.85162, 150.13123)
 proba :  0.02146103
(584.3822, 0.0, 639.0, 70.689255)
 proba :  0.013621585
(392.9416, 259.88483, 530.61005, 318.64502)
 proba :  0.01049513
(101.94282, 73.78691, 164.6777, 158.1268)
 c : roue
 list_crops.shape (38, 5)
 proba :  0.94180995
(187.78603, 271.24432, 306.51254, 426.32916)
 proba :  0.13531622
(334.87418, 358.3227, 400.07455, 428.7995)
 proba :  0.049790498
(538.7114, 250.99594, 599.9939, 395.27896)
 proba :  0.037405916
(12.768568, 136.75255, 64.16339, 244.91707)
 proba :  0.034813594
(549.30536, 192.38773, 605.7951, 305.7136)
 proba :  0.01573987
(479.6872, 335.91495, 572.481, 421.26382)
 c : toit
 list_crops.shape (34, 5)
 proba :  0.7919481
(83.63023, 31.27718, 341.391, 55.134502)
 c : vitre
 list_crops.shape (36, 5)
 proba :  0.9804716
(95.82864, 50.27379, 162.35178, 142.9745)
 proba :  0.8425397
(42.275997, 43.05429, 91.280914, 114.96898)
 proba :  0.07669977
(277.43146, 28.768257, 404.65802, 139.54556)
 proba :  0.064475
(455.88507, 20.461792, 518.84265, 90.145874)
 proba :  0.027520644
(148.30441, 51.204174, 356.01575, 112.507965)
 proba :  0.013151973
(336.1952, 352.38223, 408.2204, 424.2316)
 proba :  0.012458052
(364.93152, 257.4676, 445.52325, 324.03552)
We are managing local photo_id
image_path : temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg
image_size (480, 614, 3)
[[[ 44  44  44]
  [ 49  51  51]
  [ 42  44  44]
  ...
  [  8  10  10]
  [  8  10  10]
  [  8  10  10]]

 [[ 43  43  43]
  [ 36  38  38]
  [ 39  41  41]
  ...
  [  5   7   7]
  [  5   7   7]
  [  5   7   7]]

 [[ 70  70  70]
  [ 40  42  42]
  [ 41  43  43]
  ...
  [  4   6   6]
  [  4   6   6]
  [  4   6   6]]

 ...

 [[103 101 101]
  [110 108 108]
  [ 61  59  59]
  ...
  [  8  10  10]
  [  8  10  10]
  [  8  10  10]]

 [[ 98  96  96]
  [115 113 113]
  [ 73  71  71]
  ...
  [  0   2   2]
  [ 11  13  13]
  [ 21  23  23]]

 [[ 92  90  90]
  [114 112 112]
  [ 87  82  83]
  ...
  [ 10  12  12]
  [ 18  20  20]
  [ 25  27  27]]]
Detection took 0.053s for 300 object proposals
 c : aile-arriere
 list_crops.shape (30, 5)
 proba :  0.1324026
(133.2994, 172.39313, 280.8258, 321.4908)
 proba :  0.013270233
(153.19489, 232.50916, 369.76385, 359.7821)
 c : aile-avant
 list_crops.shape (35, 5)
 proba :  0.9504168
(133.97266, 146.17, 305.78238, 344.49054)
 proba :  0.020748347
(128.14975, 143.01231, 188.89615, 305.02338)
 proba :  0.014928453
(294.24402, 331.83875, 412.4953, 415.32983)
 proba :  0.011200605
(533.0564, 198.27586, 583.4972, 268.45764)
 proba :  0.010003959
(0.0, 114.21173, 47.591057, 234.00305)
 c : autre
 list_crops.shape (36, 5)
 c : cache-reservoir
 list_crops.shape (35, 5)
 proba :  0.025677258
(426.6985, 57.938087, 496.61877, 125.3119)
 proba :  0.02527196
(342.5214, 266.61548, 421.343, 330.55518)
 proba :  0.017257065
(306.41104, 352.42828, 382.6052, 422.00055)
 c : capot
 list_crops.shape (32, 5)
 proba :  0.99047416
(196.74532, 110.370346, 532.4853, 291.96643)
 proba :  0.22528905
(40.24968, 25.9656, 253.16219, 48.717667)
 proba :  0.058437753
(318.8872, 286.61328, 481.59192, 427.8969)
 proba :  0.017967492
(64.42239, 38.41124, 331.28412, 64.3573)
 proba :  0.01063938
(116.15746, 36.749268, 368.62878, 155.93076)
 c : carrosserie-autre
 list_crops.shape (29, 5)
 proba :  0.030297933
(429.34305, 22.058544, 497.81656, 122.479904)
 c : coffre
 list_crops.shape (29, 5)
 proba :  0.12301275
(421.3329, 15.516697, 501.77454, 119.22095)
 proba :  0.101206996
(112.75421, 46.263367, 395.28015, 193.28323)
 proba :  0.062799826
(247.78712, 171.98778, 517.51056, 335.84875)
 c : essuie-glace
 list_crops.shape (37, 5)
 proba :  0.77175087
(178.34985, 109.068016, 389.55377, 147.6917)
 proba :  0.14844471
(343.2805, 268.29123, 419.4609, 332.34402)
 proba :  0.10080303
(364.4539, 261.5203, 501.2319, 317.8638)
 proba :  0.047934707
(446.58182, 21.590424, 508.33035, 88.69621)
 proba :  0.037816375
(328.76028, 360.46097, 389.85574, 423.33334)
 proba :  0.014702774
(85.59658, 24.017399, 308.09207, 43.349194)
 proba :  0.013850169
(267.03555, 240.34125, 412.95187, 348.48596)
 proba :  0.012841032
(427.07355, 58.157417, 496.35254, 124.4029)
 c : feu-antibrouillard
 list_crops.shape (37, 5)
 proba :  0.21098386
(307.28006, 354.3118, 381.79507, 421.60953)
 proba :  0.056849062
(342.86566, 269.36557, 420.8601, 329.44168)
 proba :  0.028138975
(427.1214, 58.8189, 496.1491, 124.55067)
 proba :  0.023516204
(362.92853, 264.44672, 504.08948, 316.84045)
 c : feu-arriere
 list_crops.shape (34, 5)
 proba :  0.09634386
(303.1526, 259.64285, 431.28998, 316.4457)
 proba :  0.04132926
(428.94736, 25.617165, 497.4833, 104.48551)
 proba :  0.034466214
(305.47318, 351.5579, 379.5106, 423.93893)
 c : info-modele
 list_crops.shape (36, 5)
 proba :  0.04286643
(306.739, 353.513, 383.1753, 421.55963)
 proba :  0.035219654
(426.5218, 57.954296, 497.43964, 125.61229)
 proba :  0.03336093
(342.9605, 267.5599, 422.67847, 330.89578)
 proba :  0.016011383
(363.58505, 261.2635, 507.5707, 317.39313)
 proba :  0.010809319
(445.90076, 19.326344, 507.997, 91.46214)
 c : logo-marque
 list_crops.shape (36, 5)
 proba :  0.10543139
(327.43362, 361.32635, 387.954, 423.03302)
 proba :  0.028340904
(344.96426, 265.392, 421.6274, 329.04623)
 proba :  0.025367387
(370.85956, 261.33923, 500.61475, 316.38684)
 proba :  0.017485283
(427.59964, 57.648617, 496.78842, 125.723495)
 c : logo-roue
 list_crops.shape (34, 5)
 proba :  0.014207911
(327.6627, 360.71927, 388.7997, 424.03946)
 c : pare-brise
 list_crops.shape (30, 5)
 proba :  0.95463395
(113.60976, 42.325035, 417.92676, 147.55045)
 proba :  0.107034564
(294.6774, 24.329292, 399.7067, 129.1817)
 proba :  0.054062176
(258.47693, 161.2641, 521.58704, 295.05267)
 proba :  0.02762044
(424.6216, 20.862072, 499.57053, 97.22548)
 proba :  0.017620029
(72.5881, 41.73899, 127.251656, 168.80087)
 c : pare-choc
 list_crops.shape (25, 5)
 proba :  0.94856876
(247.4687, 265.46985, 552.9339, 445.27808)
 proba :  0.09526825
(194.31885, 225.23553, 348.42828, 419.22864)
 proba :  0.019609446
(422.45227, 329.611, 549.5304, 424.81296)
 proba :  0.014924578
(455.5416, 26.132858, 592.8147, 120.215225)
 c : phare
 list_crops.shape (35, 5)
 proba :  0.6781316
(318.1409, 264.6481, 489.92056, 310.62283)
 proba :  0.40306735
(261.64355, 234.12033, 408.5025, 331.02274)
 proba :  0.095894895
(301.1031, 356.4161, 385.49658, 425.23367)
 proba :  0.014656406
(525.6671, 198.54599, 575.2175, 289.9495)
 proba :  0.013312293
(427.993, 23.331669, 501.29965, 100.64761)
 proba :  0.011488796
(277.73883, 207.81915, 557.26294, 296.85596)
 c : plaque-immatriculation
 list_crops.shape (36, 5)
 proba :  0.19053261
(491.39746, 294.2254, 563.8235, 390.17786)
 proba :  0.057781532
(439.5142, 291.408, 531.0492, 407.1666)
 proba :  0.022950487
(298.98248, 257.41797, 447.5326, 319.17145)
 proba :  0.011341067
(309.8387, 356.20514, 386.15665, 421.93317)
 c : poignee
 list_crops.shape (34, 5)
 proba :  0.025670389
(327.5089, 360.97058, 388.47076, 424.01752)
 proba :  0.024165384
(342.31427, 266.88992, 422.49323, 331.52762)
 proba :  0.021987488
(426.42413, 57.754753, 497.07892, 125.79595)
 proba :  0.01339076
(559.0136, 0.020599365, 613.0, 71.28823)
 c : porte
 list_crops.shape (27, 5)
 proba :  0.99229616
(51.416138, 40.437714, 152.79588, 306.3885)
 proba :  0.9720405
(4.567478, 51.351593, 72.87401, 242.47769)
 proba :  0.058673847
(425.31775, 19.071598, 501.12183, 130.88155)
 proba :  0.030512067
(132.10062, 46.455284, 397.17374, 213.58044)
 proba :  0.01454132
(360.30362, 244.27322, 551.6093, 395.62643)
 c : pot-echappement
 list_crops.shape (36, 5)
 proba :  0.050583493
(328.15558, 360.69592, 387.7823, 423.729)
 proba :  0.020145506
(427.1555, 57.464962, 496.29343, 125.840805)
 c : radiateur
 list_crops.shape (35, 5)
 c : retroviseur
 list_crops.shape (35, 5)
 proba :  0.43159753
(427.4071, 56.778378, 495.9444, 123.668045)
 proba :  0.18573608
(344.1108, 266.81473, 421.86282, 331.86942)
 proba :  0.11663235
(446.867, 19.437988, 506.4643, 90.94893)
 proba :  0.048030432
(316.70718, 363.19183, 377.63913, 430.79156)
 proba :  0.027535569
(150.79504, 116.12316, 381.58875, 150.2258)
 proba :  0.012777909
(366.31247, 260.31384, 504.92532, 318.49078)
 proba :  0.0111927455
(77.325966, 81.65621, 130.17448, 174.48471)
 c : roue
 list_crops.shape (37, 5)
 proba :  0.93756616
(166.73425, 261.12698, 275.22153, 420.81223)
 proba :  0.14078595
(307.79623, 351.35678, 385.35013, 430.96347)
 proba :  0.11402255
(4.555752, 161.28627, 50.799316, 253.06956)
 proba :  0.04501051
(513.95605, 252.55716, 573.92175, 393.4824)
 proba :  0.037103765
(526.6663, 191.77695, 581.601, 303.9047)
 c : toit
 list_crops.shape (33, 5)
 proba :  0.7964495
(58.20114, 31.455112, 316.00946, 55.599064)
 c : vitre
 list_crops.shape (33, 5)
 proba :  0.98037004
(69.39562, 49.351395, 135.83826, 142.42477)
 proba :  0.893766
(14.668728, 41.220417, 66.174576, 115.175186)
 proba :  0.117525324
(205.48604, 48.101852, 379.278, 127.90491)
 proba :  0.043754723
(428.12518, 21.895077, 499.21094, 97.153336)
 proba :  0.017625462
(308.7075, 352.47635, 385.68594, 423.24753)
 proba :  0.012128056
(338.9504, 258.53705, 419.8845, 323.73877)
We are managing local photo_id
image_path : temp/1740584412_3116993_950003696_11e3a77b72af4b332d366d98984039c7.jpg
image_size (2160, 3264, 3)
[[[168 165 161]
  [168 165 161]
  [168 165 161]
  ...
  [ 47  59  63]
  [ 48  60  64]
  [ 48  60  64]]

 [[168 165 161]
  [168 165 161]
  [168 165 161]
  ...
  [ 47  59  63]
  [ 47  59  63]
  [ 48  60  64]]

 [[168 165 161]
  [168 165 161]
  [168 165 161]
  ...
  [ 47  59  63]
  [ 47  59  63]
  [ 47  59  63]]

 ...

 [[167 164 160]
  [167 164 160]
  [167 164 160]
  ...
  [ 44  59  61]
  [ 44  59  61]
  [ 44  59  61]]

 [[165 162 158]
  [165 162 158]
  [165 162 158]
  ...
  [ 45  60  62]
  [ 45  60  62]
  [ 45  60  62]]

 [[164 161 157]
  [164 161 157]
  [164 161 157]
  ...
  [ 45  60  62]
  [ 45  60  62]
  [ 45  60  62]]]
Detection took 0.398s for 300 object proposals
 c : aile-arriere
 list_crops.shape (52, 5)
 proba :  0.02072146
(396.22614, 192.55803, 703.238, 482.5102)
 proba :  0.0136624975
(2606.4849, 1489.7666, 2954.398, 2131.3938)
 proba :  0.010281127
(2270.1797, 1651.4272, 2706.3955, 2138.8596)
 proba :  0.010018628
(2922.7412, 683.2706, 3263.0, 1188.8684)
 c : aile-avant
 list_crops.shape (55, 5)
 proba :  0.025833914
(2616.2058, 1475.3844, 2938.842, 2144.0347)
 c : autre
 list_crops.shape (53, 5)
 proba :  0.013096964
(405.69257, 192.21947, 689.0916, 476.5067)
 c : cache-reservoir
 list_crops.shape (50, 5)
 proba :  0.029478258
(2629.4727, 1461.0447, 2954.7178, 2148.8467)
 proba :  0.024541665
(299.2135, 89.511246, 716.6623, 498.3722)
 proba :  0.020120332
(2232.0544, 676.76855, 2590.5198, 1171.1986)
 proba :  0.018791096
(2298.3882, 1682.8022, 2783.6582, 2156.6445)
 proba :  0.012400437
(2317.135, 1436.0599, 2614.4807, 1924.9525)
 proba :  0.012134925
(2925.1553, 677.3077, 3258.894, 1209.0139)
 c : capot
 list_crops.shape (44, 5)
 proba :  0.018005779
(2645.9797, 973.0445, 3214.7283, 1642.1116)
 proba :  0.016433097
(77.76285, 795.98096, 693.9866, 1481.0923)
 c : carrosserie-autre
 list_crops.shape (45, 5)
 proba :  0.029314378
(251.7141, 0.0, 712.3513, 634.99304)
 proba :  0.013689747
(2284.7004, 1569.4877, 2687.3762, 2159.0)
 c : coffre
 list_crops.shape (42, 5)
 proba :  0.13924788
(283.04205, 0.0, 631.684, 633.40283)
 proba :  0.013912499
(1720.5831, 507.76468, 2227.8425, 1191.3533)
 c : essuie-glace
 list_crops.shape (56, 5)
 proba :  0.018926669
(320.9031, 110.2408, 601.01587, 462.48096)
 proba :  0.013812999
(2187.6113, 749.489, 2497.3242, 1214.4569)
 proba :  0.0135582825
(2629.3274, 1462.9572, 2950.867, 2139.6475)
 proba :  0.013345194
(74.401505, 721.2017, 391.7563, 1112.9585)
 c : feu-antibrouillard
 list_crops.shape (52, 5)
 proba :  0.06085708
(372.1017, 242.49301, 759.4335, 515.9241)
 proba :  0.018310076
(2928.3872, 694.3126, 3257.65, 1206.6224)
 proba :  0.018102007
(2299.5435, 1693.858, 2784.1226, 2158.6943)
 proba :  0.015858311
(2230.3713, 698.5525, 2591.1746, 1175.2887)
 proba :  0.014355677
(2630.7478, 1481.0137, 2954.4753, 2151.7505)
 proba :  0.011738296
(383.56012, 1437.1187, 937.1363, 1845.1274)
 c : feu-arriere
 list_crops.shape (48, 5)
 proba :  0.6466826
(354.8518, 213.38441, 730.1621, 532.0539)
 proba :  0.120329
(2225.6646, 661.20526, 2605.2231, 1235.8943)
 proba :  0.079396375
(256.1844, 24.241196, 540.2486, 478.10297)
 proba :  0.06069655
(1807.431, 656.74286, 2155.9102, 1147.3569)
 proba :  0.033557404
(2308.1858, 1667.5706, 2786.7532, 2159.0)
 proba :  0.032259103
(2930.4495, 638.0928, 3237.764, 1243.1619)
 proba :  0.018532136
(619.96246, 619.27563, 953.74445, 1223.5602)
 proba :  0.017300399
(2630.6838, 1496.951, 2955.3826, 2159.0)
 proba :  0.01665838
(2317.2373, 1411.103, 2618.2632, 1961.6919)
 proba :  0.015813714
(770.64246, 939.7313, 1053.5746, 1456.1329)
 proba :  0.01059412
(2489.4475, 424.50006, 2939.1887, 1234.4358)
 proba :  0.010265377
(828.0502, 1.927002, 1174.9619, 369.913)
 proba :  0.010093787
(14.196358, 430.89856, 165.10214, 734.0338)
 c : info-modele
 list_crops.shape (49, 5)
 proba :  0.07010066
(403.7268, 194.21423, 693.05347, 475.90552)
 proba :  0.02220097
(2299.2559, 1684.252, 2787.1113, 2154.6648)
 proba :  0.01905658
(2232.613, 682.54663, 2592.743, 1170.8257)
 proba :  0.017019771
(2630.5806, 1468.2432, 2959.7227, 2151.3462)
 proba :  0.01088213
(1.7524414, 575.78046, 261.8972, 885.70355)
 c : logo-marque
 list_crops.shape (51, 5)
 proba :  0.051885873
(408.49377, 200.2567, 688.27356, 481.55872)
 proba :  0.034075335
(2304.779, 1690.44, 2793.8845, 2159.0)
 proba :  0.01823307
(2631.471, 1489.2769, 2967.9968, 2159.0)
 proba :  0.013039016
(2236.6936, 683.9066, 2594.5994, 1180.4779)
 proba :  0.011358808
(2319.9634, 1440.4142, 2621.3848, 1933.8326)
 c : logo-roue
 list_crops.shape (52, 5)
 proba :  0.030219639
(402.77924, 191.0668, 692.7548, 478.26736)
 proba :  0.020901268
(2230.9355, 677.7594, 2592.7246, 1173.9899)
 proba :  0.018412493
(2512.7705, 492.70062, 2833.542, 844.00104)
 proba :  0.018071733
(2298.6853, 1681.3523, 2786.0823, 2156.1257)
 proba :  0.013551513
(2610.3833, 558.7982, 3007.537, 1178.0154)
 proba :  0.013280442
(1762.7952, 675.095, 2234.7075, 1109.9441)
 proba :  0.012412103
(2317.8037, 1434.3596, 2615.2622, 1928.4211)
 proba :  0.011193587
(2783.577, 1527.414, 3036.1184, 2077.761)
 c : pare-brise
 list_crops.shape (46, 5)
 proba :  0.054995008
(2411.5852, 398.68317, 2957.36, 1171.5432)
 proba :  0.04502553
(2240.3535, 634.92053, 2579.2686, 1217.4136)
 proba :  0.026941216
(1424.8816, 304.93155, 2074.786, 1161.5862)
 proba :  0.025700398
(312.5657, 97.24718, 605.9385, 472.59955)
 proba :  0.024199625
(2954.8088, 604.76495, 3255.361, 1264.4524)
 proba :  0.021958556
(2056.888, 93.7785, 2392.547, 713.6879)
 proba :  0.020822216
(323.8136, 1090.7013, 787.16223, 1678.9537)
 proba :  0.018576993
(103.63803, 794.4198, 696.17114, 1524.2706)
 proba :  0.017090973
(2701.8662, 949.38776, 3158.274, 1362.9019)
 proba :  0.011478979
(2240.906, 3.3464966, 2720.215, 772.58484)
 proba :  0.010909658
(1694.8068, 659.70123, 2162.8647, 1116.5983)
 c : pare-choc
 list_crops.shape (38, 5)
 proba :  0.106190294
(347.38367, 1367.4282, 1073.0166, 1857.0483)
 proba :  0.016679194
(1310.3994, 1570.44, 2576.6128, 2051.2693)
 proba :  0.010981721
(0.0, 545.1791, 997.91693, 1254.1097)
 proba :  0.010148794
(2850.2366, 1465.4108, 3233.639, 2099.753)
 c : phare
 list_crops.shape (49, 5)
 proba :  0.069448404
(2930.697, 682.5467, 3257.6663, 1220.2148)
 proba :  0.06410857
(310.48825, 118.32182, 715.94775, 508.53943)
 proba :  0.028810417
(324.5681, 1179.3423, 758.8109, 1634.1982)
 proba :  0.013004583
(2226.5781, 695.24817, 2603.44, 1195.7963)
 proba :  0.011211885
(83.415726, 743.9859, 419.87793, 1117.4757)
 proba :  0.0105017135
(2318.0774, 1449.4492, 2631.68, 1922.1299)
 c : plaque-immatriculation
 list_crops.shape (55, 5)
 proba :  0.057378028
(399.6253, 207.9605, 679.6088, 493.95544)
 proba :  0.045762327
(1744.0779, 665.86926, 2221.1511, 1071.6498)
 proba :  0.023891406
(2294.9849, 1697.751, 2792.191, 2132.579)
 proba :  0.023442764
(2538.8, 1521.6185, 2898.8762, 2073.3752)
 proba :  0.013997438
(2783.453, 1564.8849, 3034.8894, 2056.819)
 proba :  0.013542152
(2245.338, 695.2699, 2573.168, 1168.421)
 proba :  0.011302265
(2945.949, 676.9006, 3251.0173, 1190.9429)
 c : poignee
 list_crops.shape (48, 5)
 proba :  0.057072118
(2629.5078, 1457.6329, 2958.769, 2152.9646)
 proba :  0.023785416
(2299.0884, 1682.4326, 2785.606, 2157.393)
 proba :  0.018132757
(2232.1743, 677.8589, 2592.101, 1173.5746)
 proba :  0.0144222705
(403.02203, 191.02931, 692.2675, 478.38373)
 c : porte
 list_crops.shape (42, 5)
 proba :  0.12678596
(2295.5764, 1531.382, 2685.675, 2159.0)
 proba :  0.044975597
(2857.5146, 1450.7543, 3263.0, 2033.0055)
 proba :  0.041267775
(2466.1436, 1663.9413, 3030.1992, 2159.0)
 proba :  0.028290868
(390.16434, 1195.2053, 897.9474, 1796.6562)
 proba :  0.023546545
(1444.4891, 1494.101, 2537.7534, 2103.8557)
 proba :  0.0172505
(311.34274, 15.949097, 609.73816, 659.74524)
 proba :  0.01264642
(2938.5862, 622.9923, 3247.8044, 1300.4387)
 c : pot-echappement
 list_crops.shape (49, 5)
 proba :  0.03307294
(2632.849, 1456.6475, 2954.793, 2152.6853)
 proba :  0.030934129
(2302.4878, 1680.4292, 2781.5708, 2157.684)
 proba :  0.015973935
(405.30774, 189.98349, 691.1444, 477.74973)
 proba :  0.011730021
(67.25052, 695.82715, 394.61462, 1122.9158)
 proba :  0.011400379
(1748.3529, 537.04846, 2217.012, 1143.0455)
 proba :  0.011031682
(2926.5513, 674.977, 3258.561, 1211.8403)
 c : radiateur
 list_crops.shape (50, 5)
 c : retroviseur
 list_crops.shape (52, 5)
 proba :  0.08366448
(2235.2097, 682.1201, 2591.2097, 1175.3942)
 proba :  0.059487905
(2321.9429, 1443.8933, 2613.5664, 1922.5779)
 proba :  0.043871984
(2937.0818, 682.2794, 3252.614, 1205.0062)
 proba :  0.042295624
(2632.648, 1459.1476, 2953.67, 2146.3105)
 proba :  0.034097392
(71.97528, 699.83765, 393.3372, 1120.5178)
 proba :  0.03188326
(308.78015, 91.359344, 716.161, 497.18698)
 proba :  0.025060358
(2306.4993, 1681.2103, 2777.2493, 2150.37)
 proba :  0.0197896
(2394.7468, 1122.3555, 2636.1921, 1534.479)
 proba :  0.018271314
(2293.5134, 971.5151, 2576.615, 1378.547)
 proba :  0.016420653
(2956.3289, 1594.2134, 3251.535, 2041.8711)
 proba :  0.015730444
(10.90284, 573.5187, 252.95557, 882.50024)
 proba :  0.015466352
(2711.0164, 884.6826, 3001.4343, 1337.1257)
 proba :  0.014099934
(2619.5105, 564.03235, 2997.3752, 1174.5001)
 proba :  0.013077607
(162.06439, 998.6114, 907.78925, 1740.7046)
 proba :  0.012829538
(2117.2517, 1467.1455, 2431.4841, 2134.7544)
 proba :  0.012178059
(2070.6995, 153.23358, 2426.6536, 695.5508)
 c : roue
 list_crops.shape (48, 5)
 proba :  0.08209444
(2921.2896, 638.38293, 3254.5283, 1258.6586)
 proba :  0.05801481
(2507.5486, 1514.025, 2926.2517, 2083.4683)
 proba :  0.057308186
(2746.139, 1692.61, 3205.8547, 2127.3516)
 proba :  0.03822797
(2267.459, 1589.3485, 2719.9448, 2144.4583)
 proba :  0.029195081
(2521.5894, 448.81326, 3069.207, 1139.6517)
 proba :  0.026405022
(416.58997, 1400.4636, 896.45764, 1839.0691)
 proba :  0.02205802
(258.37912, 30.398163, 777.48755, 579.2283)
 proba :  0.018164838
(269.501, 1082.4124, 809.2041, 1696.919)
 proba :  0.016244797
(814.9343, 0.0, 1180.137, 343.60492)
 proba :  0.014416326
(1708.7594, 636.1166, 2206.2273, 1093.4144)
 proba :  0.0114070345
(2210.2798, 646.7497, 2617.3408, 1202.6558)
 c : toit
 list_crops.shape (51, 5)
 c : vitre
 list_crops.shape (47, 5)
 proba :  0.17966747
(2201.5256, 706.0818, 2505.807, 1225.6165)
 proba :  0.137084
(2332.1953, 1420.2595, 2614.77, 1932.4587)
 proba :  0.09206846
(2941.332, 639.27814, 3238.2427, 1233.2786)
 proba :  0.04708542
(321.51746, 101.23695, 604.4677, 480.09955)
 proba :  0.041156944
(2545.2295, 540.1414, 2972.1353, 1045.7671)
 proba :  0.039572373
(2362.6548, 1470.2294, 2901.4224, 2152.234)
 proba :  0.030483034
(2784.0881, 1531.0742, 3025.3708, 2079.123)
 proba :  0.017645527
(1748.707, 547.4519, 2193.0386, 1162.6262)
 proba :  0.01579497
(2879.626, 1427.3993, 3199.1938, 2141.8374)
 proba :  0.010813699
(2403.9023, 706.2697, 2720.505, 1277.5813)
 proba :  0.010704957
(2683.105, 868.80096, 2997.1816, 1348.8739)
We are managing local photo_id
len de result frcnn : 6

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 4.142043590545654
time spend to save output : 0.0009286403656005859
total time spend for step 1 : 4.142972230911255

step2:crop_condition
Wed Feb 26 16:40:17 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584412_3116993_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg': 950003838, 'temp/1740584412_3116993_950003813_e28be02dfcce79cce594a390a9911a0a.jpg': 950003813, 'temp/1740584412_3116993_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg': 950003695, 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg': 926687666, 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg': 950003812, 'temp/1740584412_3116993_950003696_11e3a77b72af4b332d366d98984039c7.jpg': 950003696}
map_photo_id_path_extension : {950003838: {'path': 'temp/1740584412_3116993_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg', 'extension': 'jpg'}, 950003813: {'path': 'temp/1740584412_3116993_950003813_e28be02dfcce79cce594a390a9911a0a.jpg', 'extension': 'jpg'}, 950003695: {'path': 'temp/1740584412_3116993_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg', 'extension': 'jpg'}, 926687666: {'path': 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg', 'extension': 'jpg'}, 950003812: {'path': 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg', 'extension': 'jpg'}, 950003696: {'path': 'temp/1740584412_3116993_950003696_11e3a77b72af4b332d366d98984039c7.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
param_json : {'photo_hashtag_type': 757, 'token': '78d09a0790ec6ecbf119343125a81fdc', 'feed_id_new_photos': 1981313, 'host': 'www.fotonower.com', 'filter': {'phare': {'margin_type': 'margin', 'margin_value': 300, 'feed_id_new_photos': 1097966}, 'aile-avant': {}}, 'crop_type': 'bib', 'margin_type': 'margin_relative', 'margin_value': [0.5, 0.1, 0.5, 0.1], 'min_score': 0.3}
 list_filenames in step crop :  ['temp/1740584412_3116993_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg', 'temp/1740584412_3116993_950003813_e28be02dfcce79cce594a390a9911a0a.jpg', 'temp/1740584412_3116993_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg', 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg', 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg', 'temp/1740584412_3116993_950003696_11e3a77b72af4b332d366d98984039c7.jpg']
Loading chi in step crop with photo_hashtag_type : 757
Loading chi in step crop for subpids : 6 !
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 950003838,950003813,950003695,926687666,950003812,950003696) and `type` in (757) 
Loaded 32 chid ids of type : 757
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1655713604,1655713607,1655713608,1655713612,1655713617,1655713619,1655713621,1655713623,1655713624,1655713628,1655713630,1655713631,1655713632,1655713634,1655713635,1655713639,1655713644,1655713646,1655713647,1655713648,1655713650,1655713651,1655713652,1655713655,1655713658,1655713659,1655713660,1655713662,1655713695,1655713696,1655713700,1655713701)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1655713604,1655713607,1655713608,1655713612,1655713617,1655713619,1655713621,1655713623,1655713624,1655713628,1655713630,1655713631,1655713632,1655713634,1655713635,1655713639,1655713644,1655713646,1655713647,1655713648,1655713650,1655713651,1655713652,1655713655,1655713658,1655713659,1655713660,1655713662,1655713695,1655713696,1655713700,1655713701)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1655713604,1655713607,1655713608,1655713612,1655713617,1655713619,1655713621,1655713623,1655713624,1655713628,1655713630,1655713631,1655713632,1655713634,1655713635,1655713639,1655713644,1655713646,1655713647,1655713648,1655713650,1655713651,1655713652,1655713655,1655713658,1655713659,1655713660,1655713662,1655713695,1655713696,1655713700,1655713701)
select photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type, id from MTRPhoto.photo_sub_photos  where photo_id in ( 950003838,950003813,950003695,926687666,950003812,950003696) 
select sub_photo_id, crop_hashtag_id from MTRPhoto.crop_sub_photo_ids where sub_photo_id in (971020109,971021726,971022383,1071808962,1071808969,1071808957,1071808960,1071808966) 
map_pid_crop from SQL : 
['[<mtr.simple_image_editor.image_utils.CHI object at 0x7f2f34071460>]', '[<mtr.simple_image_editor.image_utils.CHI object at 0x7f2f34071970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed0214f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed0216a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021dc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021820>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021e20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021a30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021a60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed0218e0>]', '[<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021b80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021f70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed021610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f68bea730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f68bea6a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f68bea700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed019670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed0197c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed019340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed019d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed019490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed019640>]', '[<mtr.simple_image_editor.image_utils.CHI object at 0x7f2bed019430>]', '[<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf27730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf84220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf844c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf84190>]']

begin to crop the class : phare
param for this class : {'margin_type': 'margin', 'margin_value': 300, 'feed_id_new_photos': 1097966}
filtre for class : phare 
hashtag_id of this class : 492624020
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 757 and photo_id in (950003838,950003813,950003695,926687666,950003812,950003696) and hashtag_id = 492624020) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [1655713621]
chi_id interessant : [1655713621, 1655713648]
chi_id interessant : [1655713621, 1655713648, 1655713647]
WARNING : margin is only used for type bib !

type of cropped photo chosen : bib
we resize croppped photo by 1 on x axis and by 1 on y axis
 new_file_path_bib_crop : temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg
 new_file_path_bib_crop : temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg
 new_file_path_bib_crop : temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg
 map_result returned by crop_photo_return_map_crop : length : 3
map_result after crop : {1655713621: {'crop': 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', 'photo_id': 926687666, 'sub_photo_id': 1071808962, 'coordonates': (326, 477, 251, 312), 'sub_photo_infos': (26, 640, 0, 480, 1, 1), 'same_chi': True}, 1655713647: {'crop': 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', 'photo_id': 950003812, 'sub_photo_id': 1071808957, 'coordonates': (318, 489, 264, 310), 'sub_photo_infos': (18, 614, 0, 480, 1, 1), 'same_chi': True}, 1655713648: {'crop': 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg', 'photo_id': 950003812, 'sub_photo_id': 1071808960, 'coordonates': (261, 408, 234, 331), 'sub_photo_infos': (0, 614, 0, 480, 1, 1), 'same_chi': True}}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{1071808962: [926687666, 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', (326, 477, 251, 312)], 1071808957: [950003812, 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', (318, 489, 264, 310)], 1071808960: [950003812, 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg', (261, 408, 234, 331)]}
we have finished the crop for the class : phare



begin to crop the class : aile-avant
param for this class : {}
filtre for class : aile-avant 
hashtag_id of this class : 2106233860
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 757 and photo_id in (950003838,950003813,950003695,926687666,950003812,950003696) and hashtag_id = 2106233860) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [1655713607]
chi_id interessant : [1655713607, 1655713634]
WARNING : margin is only used for type bib !

type of cropped photo chosen : bib
we resize croppped photo by 1 on x axis and by 1 on y axis
 new_file_path_bib_crop : temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg
now we use margin_relative for the photo_id : 926687666
 new_file_path_bib_crop : temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713634_0.jpg
now we use margin_relative for the photo_id : 950003812
 map_result returned by crop_photo_return_map_crop : length : 2
map_result after crop : {1655713607: {'crop': 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', 'photo_id': 926687666, 'sub_photo_id': 1071808969, 'coordonates': (161, 330, 149, 343), 'sub_photo_infos': (64, 349, 65, 359, 1, 1), 'same_chi': True}, 1655713634: {'crop': 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713634_0.jpg', 'photo_id': 950003812, 'sub_photo_id': 1071808966, 'coordonates': (133, 305, 146, 344), 'sub_photo_infos': (34, 324, 60, 361, 1, 1), 'same_chi': True}}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{1071808969: [926687666, 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', (161, 330, 149, 343)], 1071808966: [950003812, 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713634_0.jpg', (133, 305, 146, 344)]}
we have finished the crop for the class : aile-avant


map of total cropped photos with some data : 
{1071808962: [926687666, 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', (326, 477, 251, 312)], 1071808957: [950003812, 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', (318, 489, 264, 310)], 1071808960: [950003812, 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg', (261, 408, 234, 331)], 1071808969: [926687666, 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', (161, 330, 149, 343)], 1071808966: [950003812, 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713634_0.jpg', (133, 305, 146, 344)]}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.451401948928833
time spend to save output : 0.00013136863708496094
total time spend for step 2 : 0.45153331756591797

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 2
 output : {1071808962: [926687666, 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', (326, 477, 251, 312)], 1071808957: [950003812, 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', (318, 489, 264, 310)], 1071808960: [950003812, 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg', (261, 408, 234, 331)], 1071808969: [926687666, 'temp/1740584412_3116993_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', (161, 330, 149, 343)], 1071808966: [950003812, 'temp/1740584412_3116993_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713634_0.jpg', (133, 305, 146, 344)]}

############################### TEST image_blanchir  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1818

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=1818
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 1818
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=1818
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : image_blanchir
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (990111206) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 990111206
download finish for photo 990111206
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.19158673286437988
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
WARNING : we have an input that is not a photo, we should get rid of it
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:image_blanchir
Wed Feb 26 16:40:17 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584417_3116993_990111206_7ca22c7e68dd0a10509c7987af0cf549.png': 990111206}
map_photo_id_path_extension : {990111206: {'path': 'temp/1740584417_3116993_990111206_7ca22c7e68dd0a10509c7987af0cf549.png', 'extension': 'png'}}
map_subphoto_mainphoto : {}
inside step blanchir_image
https://marlene.fotonower.com/api/v1/secured/portfolio/new?access_token=78d09a0790ec6ecbf119343125a81fdc
feed_id_new_photos:20846918
treat image : temp/1740584417_3116993_990111206_7ca22c7e68dd0a10509c7987af0cf549.png
blanchir func
in upload media
 Upload medias :  ['temp/1740584417_3116993_990111206_7ca22c7e68dd0a10509c7987af0cf549.png'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=78d09a0790ec6ecbf119343125a81fdc&datou=0
temp/1740584417_3116993_990111206_7ca22c7e68dd0a10509c7987af0cf549.png
after data_to_send, before sending request
after request
<Response [200]>
b'{"photo_ids":["1339751429"],"photo_id":"1339751429","photo_detail":[{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/2/26/9e909c6a671dc179111c3af23662d48a.png","text":"TemporaryFile(/tmp/multipartBody5858019151786573303asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1740584419343,"filename":"1740584417_3116993_990111206_7ca22c7e68dd0a10509c7987af0cf549.png","height":0,"width":0}],"map_files_photo_id":{"file0":"1339751429"},"map_files_photo_id_array":[{"photo_id":"file0","filename":"1339751429"}],"hashtags":[],"portfolio_id":"20846918","result":[],"list_datou_current":[]}'
Result OK !

After datou_step_exec type output : <class 'list'>

time spend for datou_step_exec : 6.90938138961792
time spend to save output : 2.5987625122070312e-05
total time spend for step 1 : 6.909407377243042

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
sauvegarde pour la step blanchir_image


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [[1818, 0, 990111206, 1, 1, 1, None, 1, None]]
time used for this insertion : 0.42072486877441406

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : [(990111206, '1339751429', 0, 300, 0, 381, 1, 1, 'blanc')]
[(990111206, '1339751429', 0, 300, 0, 381, 1, 1, 'blanc')]

############################### TEST darker_image  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2085

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2085
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2085
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2085
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : darker_image
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (2077915) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (2077915)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 989962950, 'portfolio_id': 2077915}]
 map_portfolio_id_photo_id: {2077915: [989962950]}
##### Call download_photos : nb_thread : 5
begin to download photo : 989962950
download finish for photo 989962950
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.17915010452270508
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:darker_image
Wed Feb 26 16:40:25 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584425_3116993_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg': 989962950}
map_photo_id_path_extension : {989962950: {'path': 'temp/1740584425_3116993_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
dans la step darker
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 989962950) and `type` in (2228) 
Loaded 7 chid ids of type : 2228
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1753484977,1753484978,1753484979,1753484980,1753484981,1753484982,1753484983)
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484977, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484978, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484979, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484980, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484981, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484982, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484983, for now we just ignore these empty polygon points 
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1753484977,1753484978,1753484979,1753484980,1753484981,1753484982,1753484983)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1753484977,1753484978,1753484979,1753484980,1753484981,1753484982,1753484983)
treat image : temp/1740584425_3116993_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg
in upload media
 Upload medias :  ['temp/1740584425_3116993_989962950_4d2e56be59e275c3d57b085a836be0badarker.jpg'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=78d09a0790ec6ecbf119343125a81fdc&datou=0
temp/1740584425_3116993_989962950_4d2e56be59e275c3d57b085a836be0badarker.jpg
after data_to_send, before sending request
after request
<Response [200]>
b'{"photo_ids":["1339751432"],"photo_id":"1339751432","photo_detail":[{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/2/26/0d0bb5fb2b4b03aee9e0b81a51c31a4f.jpg","text":"TemporaryFile(/tmp/multipartBody6477159293353258116asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1740584426247,"filename":"1740584425_3116993_989962950_4d2e56be59e275c3d57b085a836be0badarker.jpg","height":0,"width":0}],"map_files_photo_id":{"file0":"1339751432"},"map_files_photo_id_array":[{"photo_id":"file0","filename":"1339751432"}],"hashtags":[],"portfolio_id":"2213400","result":[],"list_datou_current":[]}'
Result OK !
list chi to save
[<mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3faf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3fa00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3f190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3f2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3f550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3fdc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2becf3f8b0>]
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 7 chid ids of type : 2228
Number RLEs to save : 0
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 
crops sauvegardes

After datou_step_exec type output : <class 'list'>

time spend for datou_step_exec : 7.969370126724243
time spend to save output : 3.981590270996094e-05
total time spend for step 1 : 7.969409942626953

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
sauvegarde pour la step blanchir_image


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [[2085, 0, 989962950, 1, 1, 1, None, 1, None]]
time used for this insertion : 0.011943340301513672

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : [(989962950, '1339751432', 0, 897, 0, 1431, 1, 1, 'darker')]
[(989962950, '1339751432', 0, 897, 0, 1431, 1, 1, 'darker')]
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1339751432) and `type` in (2228) 
Loaded 7 chid ids of type : 2228
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (3687654154,3687654155,3687654153,3687654151,3687654152,3687654149,3687654150)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3687654154,3687654155,3687654153,3687654151,3687654152,3687654149,3687654150)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3687654154,3687654155,3687654153,3687654151,3687654152,3687654149,3687654150)

############################### TEST img_aug  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2041

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2041
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2041
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2041
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : data_aug
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (2077915) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (2077915)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 989962950, 'portfolio_id': 2077915}]
 map_portfolio_id_photo_id: {2077915: [989962950]}
##### Call download_photos : nb_thread : 5
begin to download photo : 989962950
download finish for photo 989962950
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.13372468948364258
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:data_aug
Wed Feb 26 16:40:33 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584433_3116993_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg': 989962950}
map_photo_id_path_extension : {989962950: {'path': 'temp/1740584433_3116993_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
numpy.version est ancienne, on utilise l'ancien bit generator
numpy.version est ancienne, on utilise l'ancien bit generator
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 989962950) and `type` in (2228) 
Loaded 7 chid ids of type : 2228
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1753484977,1753484978,1753484979,1753484980,1753484981,1753484982,1753484983)
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484977, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484978, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484979, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484980, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484981, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484982, for now we just ignore these empty polygon points 
+WARNING : Unexpected points, we should remove this data for chi_id : 1753484983, for now we just ignore these empty polygon points 
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1753484977,1753484978,1753484979,1753484980,1753484981,1753484982,1753484983)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1753484977,1753484978,1753484979,1753484980,1753484981,1753484982,1753484983)


on traite des points
in upload media
 Upload medias :  ['temp/1740584433_3116993_989962950_4d2e56be59e275c3d57b085a836be0ba_aug.jpg'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=7ad776945df9e5335881f03fafdabb27&datou=0
temp/1740584433_3116993_989962950_4d2e56be59e275c3d57b085a836be0ba_aug.jpg
after data_to_send, before sending request
after request
<Response [200]>
b'{"photo_ids":["1339751438"],"photo_id":"1339751438","photo_detail":[{"mtr_user_id":0,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/2/26/c9c1e92c87e54f97f7ca32b4bcfd045b.jpg","text":"TemporaryFile(/tmp/multipartBody7459802251243150427asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1740584434312,"filename":"1740584433_3116993_989962950_4d2e56be59e275c3d57b085a836be0ba_aug.jpg","height":0,"width":0}],"map_files_photo_id":{"file0":"1339751438"},"map_files_photo_id_array":[{"photo_id":"file0","filename":"1339751438"}],"hashtags":[],"portfolio_id":"2095671","result":[],"list_datou_current":[]}'
Result OK !
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 7 chid ids of type : 2260
ERROR missing MTRPhoto.crop_hashtag_ids : 492774966 on photo_id : 1339751438
ERROR missing MTRPhoto.crop_hashtag_ids : 492774966 on photo_id : 1339751438
ERROR missing MTRPhoto.crop_hashtag_ids : 492725882 on photo_id : 1339751438
ERROR missing MTRPhoto.crop_hashtag_ids : 492725882 on photo_id : 1339751438
ERROR missing MTRPhoto.crop_hashtag_ids : 492668766 on photo_id : 1339751438
ERROR missing MTRPhoto.crop_hashtag_ids : 492668766 on photo_id : 1339751438
ERROR missing MTRPhoto.crop_hashtag_ids : 492668766 on photo_id : 1339751438
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
photo_uploade
augmentation faite pour la photo : 989962950

After datou_step_exec type output : <class 'list'>

time spend for datou_step_exec : 7.8322460651397705
time spend to save output : 3.6716461181640625e-05
total time spend for step 1 : 7.832282781600952

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
sauvegarde pour la step blanchir_image


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 1
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [[2041, 0, 989962950, 1, 1, 1, None, 1, None]]
time used for this insertion : 0.01227712631225586

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : [(989962950, 1339751438, 0, 1431, 0, 897, 1, 1, 'img_aug')]
[(989962950, 1339751438, 0, 1431, 0, 897, 1, 1, 'img_aug')]
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1339751438) and `type` in (2260) 
Loaded 7 chid ids of type : 2260
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (3687654362,3687654363,3687654361,3687654359,3687654360,3687654357,3687654358)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3687654362,3687654363,3687654361,3687654359,3687654360,3687654357,3687654358)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3687654362,3687654363,3687654361,3687654359,3687654360,3687654357,3687654358)

############################### TEST rubbia  ################################
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3789

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3789
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3789
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3789
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : split_time_score
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4599398) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4599398)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1049318362, 'portfolio_id': 4599398}, {'photo_id': 1049318360, 'portfolio_id': 4599398}, {'photo_id': 1049318358, 'portfolio_id': 4599398}, {'photo_id': 1049318356, 'portfolio_id': 4599398}, {'photo_id': 1049318342, 'portfolio_id': 4599398}, {'photo_id': 1049318339, 'portfolio_id': 4599398}, {'photo_id': 1049318337, 'portfolio_id': 4599398}, {'photo_id': 1049318311, 'portfolio_id': 4599398}, {'photo_id': 1049318310, 'portfolio_id': 4599398}, {'photo_id': 1049318309, 'portfolio_id': 4599398}, {'photo_id': 1049318294, 'portfolio_id': 4599398}, {'photo_id': 1049318293, 'portfolio_id': 4599398}, {'photo_id': 1049318291, 'portfolio_id': 4599398}, {'photo_id': 1049318289, 'portfolio_id': 4599398}, {'photo_id': 1049318288, 'portfolio_id': 4599398}, {'photo_id': 1049318287, 'portfolio_id': 4599398}, {'photo_id': 1049318279, 'portfolio_id': 4599398}, {'photo_id': 1049318276, 'portfolio_id': 4599398}, {'photo_id': 1049318273, 'portfolio_id': 4599398}, {'photo_id': 1049318271, 'portfolio_id': 4599398}, {'photo_id': 1049318268, 'portfolio_id': 4599398}, {'photo_id': 1049318265, 'portfolio_id': 4599398}, {'photo_id': 1049318260, 'portfolio_id': 4599398}, {'photo_id': 1049318257, 'portfolio_id': 4599398}, {'photo_id': 1049318253, 'portfolio_id': 4599398}, {'photo_id': 1049318250, 'portfolio_id': 4599398}, {'photo_id': 1049318247, 'portfolio_id': 4599398}, {'photo_id': 1049318246, 'portfolio_id': 4599398}, {'photo_id': 1049318222, 'portfolio_id': 4599398}, {'photo_id': 1049318219, 'portfolio_id': 4599398}, {'photo_id': 1049318216, 'portfolio_id': 4599398}, {'photo_id': 1049318214, 'portfolio_id': 4599398}, {'photo_id': 1049318213, 'portfolio_id': 4599398}, {'photo_id': 1049318212, 'portfolio_id': 4599398}, {'photo_id': 1049317554, 'portfolio_id': 4599398}, {'photo_id': 1049317551, 'portfolio_id': 4599398}, {'photo_id': 1049317549, 'portfolio_id': 4599398}, {'photo_id': 1049317546, 'portfolio_id': 4599398}, {'photo_id': 1049317542, 'portfolio_id': 4599398}, {'photo_id': 1049317536, 'portfolio_id': 4599398}, {'photo_id': 1049317526, 'portfolio_id': 4599398}, {'photo_id': 1049317525, 'portfolio_id': 4599398}, {'photo_id': 1049317524, 'portfolio_id': 4599398}, {'photo_id': 1049317522, 'portfolio_id': 4599398}, {'photo_id': 1049317520, 'portfolio_id': 4599398}, {'photo_id': 1049317517, 'portfolio_id': 4599398}, {'photo_id': 1049317497, 'portfolio_id': 4599398}, {'photo_id': 1049317493, 'portfolio_id': 4599398}, {'photo_id': 1049317491, 'portfolio_id': 4599398}, {'photo_id': 1049317489, 'portfolio_id': 4599398}, {'photo_id': 1049317487, 'portfolio_id': 4599398}, {'photo_id': 1049317485, 'portfolio_id': 4599398}, {'photo_id': 1049317468, 'portfolio_id': 4599398}, {'photo_id': 1049317461, 'portfolio_id': 4599398}, {'photo_id': 1049317457, 'portfolio_id': 4599398}, {'photo_id': 1049317453, 'portfolio_id': 4599398}, {'photo_id': 1049317444, 'portfolio_id': 4599398}, {'photo_id': 1049317440, 'portfolio_id': 4599398}, {'photo_id': 1049317359, 'portfolio_id': 4599398}, {'photo_id': 1049317333, 'portfolio_id': 4599398}, {'photo_id': 1049317282, 'portfolio_id': 4599398}, {'photo_id': 1049317225, 'portfolio_id': 4599398}, {'photo_id': 1049317210, 'portfolio_id': 4599398}, {'photo_id': 1049317197, 'portfolio_id': 4599398}, {'photo_id': 1049316790, 'portfolio_id': 4599398}, {'photo_id': 1049316785, 'portfolio_id': 4599398}, {'photo_id': 1049316782, 'portfolio_id': 4599398}, {'photo_id': 1049316778, 'portfolio_id': 4599398}, {'photo_id': 1049316752, 'portfolio_id': 4599398}, {'photo_id': 1049316749, 'portfolio_id': 4599398}, {'photo_id': 1049316610, 'portfolio_id': 4599398}, {'photo_id': 1049316600, 'portfolio_id': 4599398}, {'photo_id': 1049316597, 'portfolio_id': 4599398}, {'photo_id': 1049316594, 'portfolio_id': 4599398}, {'photo_id': 1049316588, 'portfolio_id': 4599398}, {'photo_id': 1049316582, 'portfolio_id': 4599398}, {'photo_id': 1049316545, 'portfolio_id': 4599398}, {'photo_id': 1049316543, 'portfolio_id': 4599398}, {'photo_id': 1049316540, 'portfolio_id': 4599398}, {'photo_id': 1049316537, 'portfolio_id': 4599398}, {'photo_id': 1049316534, 'portfolio_id': 4599398}, {'photo_id': 1049316520, 'portfolio_id': 4599398}, {'photo_id': 1049316338, 'portfolio_id': 4599398}, {'photo_id': 1049316336, 'portfolio_id': 4599398}, {'photo_id': 1049316332, 'portfolio_id': 4599398}, {'photo_id': 1049316331, 'portfolio_id': 4599398}, {'photo_id': 1049316257, 'portfolio_id': 4599398}, {'photo_id': 1049316255, 'portfolio_id': 4599398}, {'photo_id': 1049316222, 'portfolio_id': 4599398}, {'photo_id': 1049316216, 'portfolio_id': 4599398}, {'photo_id': 1049316214, 'portfolio_id': 4599398}, {'photo_id': 1049316212, 'portfolio_id': 4599398}, {'photo_id': 1049316210, 'portfolio_id': 4599398}, {'photo_id': 1049316209, 'portfolio_id': 4599398}, {'photo_id': 1049313025, 'portfolio_id': 4599398}, {'photo_id': 1049312984, 'portfolio_id': 4599398}, {'photo_id': 1049312803, 'portfolio_id': 4599398}, {'photo_id': 1049312588, 'portfolio_id': 4599398}, {'photo_id': 1049312585, 'portfolio_id': 4599398}, {'photo_id': 1049312583, 'portfolio_id': 4599398}, {'photo_id': 1049312579, 'portfolio_id': 4599398}, {'photo_id': 1049312574, 'portfolio_id': 4599398}, {'photo_id': 1049312573, 'portfolio_id': 4599398}, {'photo_id': 1049312571, 'portfolio_id': 4599398}, {'photo_id': 1049312568, 'portfolio_id': 4599398}, {'photo_id': 1049312566, 'portfolio_id': 4599398}, {'photo_id': 1049312562, 'portfolio_id': 4599398}, {'photo_id': 1049312556, 'portfolio_id': 4599398}, {'photo_id': 1049312508, 'portfolio_id': 4599398}, {'photo_id': 1049312489, 'portfolio_id': 4599398}, {'photo_id': 1049312488, 'portfolio_id': 4599398}, {'photo_id': 1049312487, 'portfolio_id': 4599398}, {'photo_id': 1049312485, 'portfolio_id': 4599398}, {'photo_id': 1049312484, 'portfolio_id': 4599398}, {'photo_id': 1049312464, 'portfolio_id': 4599398}, {'photo_id': 1049312463, 'portfolio_id': 4599398}, {'photo_id': 1049312462, 'portfolio_id': 4599398}, {'photo_id': 1049312461, 'portfolio_id': 4599398}, {'photo_id': 1049312460, 'portfolio_id': 4599398}, {'photo_id': 1049312449, 'portfolio_id': 4599398}, {'photo_id': 1049312445, 'portfolio_id': 4599398}, {'photo_id': 1049312444, 'portfolio_id': 4599398}, {'photo_id': 1049312442, 'portfolio_id': 4599398}, {'photo_id': 1049312440, 'portfolio_id': 4599398}, {'photo_id': 1049312438, 'portfolio_id': 4599398}, {'photo_id': 1049312429, 'portfolio_id': 4599398}, {'photo_id': 1049312426, 'portfolio_id': 4599398}, {'photo_id': 1049312424, 'portfolio_id': 4599398}, {'photo_id': 1049312422, 'portfolio_id': 4599398}, {'photo_id': 1049312420, 'portfolio_id': 4599398}, {'photo_id': 1049312409, 'portfolio_id': 4599398}, {'photo_id': 1049312406, 'portfolio_id': 4599398}, {'photo_id': 1049312404, 'portfolio_id': 4599398}, {'photo_id': 1049312363, 'portfolio_id': 4599398}, {'photo_id': 1049312208, 'portfolio_id': 4599398}, {'photo_id': 1049311964, 'portfolio_id': 4599398}, {'photo_id': 1049311963, 'portfolio_id': 4599398}, {'photo_id': 1049311962, 'portfolio_id': 4599398}, {'photo_id': 1049311961, 'portfolio_id': 4599398}, {'photo_id': 1049311960, 'portfolio_id': 4599398}, {'photo_id': 1049311943, 'portfolio_id': 4599398}, {'photo_id': 1049311938, 'portfolio_id': 4599398}, {'photo_id': 1049311937, 'portfolio_id': 4599398}, {'photo_id': 1049311935, 'portfolio_id': 4599398}, {'photo_id': 1049311934, 'portfolio_id': 4599398}, {'photo_id': 1049311932, 'portfolio_id': 4599398}, {'photo_id': 1049311795, 'portfolio_id': 4599398}, {'photo_id': 1049311793, 'portfolio_id': 4599398}, {'photo_id': 1049311791, 'portfolio_id': 4599398}, {'photo_id': 1049311771, 'portfolio_id': 4599398}, {'photo_id': 1049311767, 'portfolio_id': 4599398}, {'photo_id': 1049311267, 'portfolio_id': 4599398}, {'photo_id': 1049311266, 'portfolio_id': 4599398}, {'photo_id': 1049311263, 'portfolio_id': 4599398}, {'photo_id': 1049311252, 'portfolio_id': 4599398}, {'photo_id': 1049311199, 'portfolio_id': 4599398}, {'photo_id': 1049311136, 'portfolio_id': 4599398}, {'photo_id': 1049311073, 'portfolio_id': 4599398}, {'photo_id': 1049311009, 'portfolio_id': 4599398}, {'photo_id': 1049311006, 'portfolio_id': 4599398}, {'photo_id': 1049310994, 'portfolio_id': 4599398}, {'photo_id': 1049310992, 'portfolio_id': 4599398}, {'photo_id': 1049310991, 'portfolio_id': 4599398}, {'photo_id': 1049310984, 'portfolio_id': 4599398}, {'photo_id': 1049310982, 'portfolio_id': 4599398}, {'photo_id': 1049310981, 'portfolio_id': 4599398}, {'photo_id': 1049310919, 'portfolio_id': 4599398}, {'photo_id': 1049310914, 'portfolio_id': 4599398}, {'photo_id': 1049310911, 'portfolio_id': 4599398}, {'photo_id': 1049310909, 'portfolio_id': 4599398}, {'photo_id': 1049310907, 'portfolio_id': 4599398}, {'photo_id': 1049310905, 'portfolio_id': 4599398}, {'photo_id': 1049310165, 'portfolio_id': 4599398}, {'photo_id': 1049310162, 'portfolio_id': 4599398}, {'photo_id': 1049310159, 'portfolio_id': 4599398}, {'photo_id': 1049310145, 'portfolio_id': 4599398}, {'photo_id': 1049310141, 'portfolio_id': 4599398}, {'photo_id': 1049310139, 'portfolio_id': 4599398}, {'photo_id': 1049310138, 'portfolio_id': 4599398}, {'photo_id': 1049310134, 'portfolio_id': 4599398}, {'photo_id': 1049310132, 'portfolio_id': 4599398}, {'photo_id': 1049309737, 'portfolio_id': 4599398}, {'photo_id': 1049309734, 'portfolio_id': 4599398}, {'photo_id': 1049309732, 'portfolio_id': 4599398}, {'photo_id': 1049309706, 'portfolio_id': 4599398}, {'photo_id': 1049309703, 'portfolio_id': 4599398}, {'photo_id': 1049309701, 'portfolio_id': 4599398}, {'photo_id': 1049309686, 'portfolio_id': 4599398}, {'photo_id': 1049309681, 'portfolio_id': 4599398}, {'photo_id': 1049309677, 'portfolio_id': 4599398}, {'photo_id': 1049309675, 'portfolio_id': 4599398}, {'photo_id': 1049309672, 'portfolio_id': 4599398}, {'photo_id': 1049309670, 'portfolio_id': 4599398}, {'photo_id': 1049309658, 'portfolio_id': 4599398}, {'photo_id': 1049309657, 'portfolio_id': 4599398}, {'photo_id': 1049309656, 'portfolio_id': 4599398}, {'photo_id': 1049309655, 'portfolio_id': 4599398}, {'photo_id': 1049309653, 'portfolio_id': 4599398}, {'photo_id': 1049309651, 'portfolio_id': 4599398}, {'photo_id': 1049309605, 'portfolio_id': 4599398}, {'photo_id': 1049309603, 'portfolio_id': 4599398}, {'photo_id': 1049309599, 'portfolio_id': 4599398}, {'photo_id': 1049309597, 'portfolio_id': 4599398}, {'photo_id': 1049309595, 'portfolio_id': 4599398}, {'photo_id': 1049309592, 'portfolio_id': 4599398}, {'photo_id': 1049309385, 'portfolio_id': 4599398}, {'photo_id': 1049309383, 'portfolio_id': 4599398}, {'photo_id': 1049309382, 'portfolio_id': 4599398}, {'photo_id': 1049309381, 'portfolio_id': 4599398}, {'photo_id': 1049309380, 'portfolio_id': 4599398}, {'photo_id': 1049309379, 'portfolio_id': 4599398}, {'photo_id': 1049309345, 'portfolio_id': 4599398}, {'photo_id': 1049308384, 'portfolio_id': 4599398}, {'photo_id': 1049308381, 'portfolio_id': 4599398}, {'photo_id': 1049308376, 'portfolio_id': 4599398}, {'photo_id': 1049308280, 'portfolio_id': 4599398}, {'photo_id': 1049308276, 'portfolio_id': 4599398}, {'photo_id': 1049308275, 'portfolio_id': 4599398}, {'photo_id': 1049308235, 'portfolio_id': 4599398}, {'photo_id': 1049307693, 'portfolio_id': 4599398}, {'photo_id': 1049306823, 'portfolio_id': 4599398}, {'photo_id': 1049306804, 'portfolio_id': 4599398}, {'photo_id': 1049306792, 'portfolio_id': 4599398}, {'photo_id': 1049306791, 'portfolio_id': 4599398}, {'photo_id': 1049306635, 'portfolio_id': 4599398}, {'photo_id': 1049306205, 'portfolio_id': 4599398}, {'photo_id': 1049304810, 'portfolio_id': 4599398}, {'photo_id': 1049303925, 'portfolio_id': 4599398}, {'photo_id': 1049296996, 'portfolio_id': 4599398}, {'photo_id': 1049296121, 'portfolio_id': 4599398}, {'photo_id': 1049294990, 'portfolio_id': 4599398}, {'photo_id': 1049293230, 'portfolio_id': 4599398}]
 map_portfolio_id_photo_id: {4599398: [1049318362, 1049318360, 1049318358, 1049318356, 1049318342, 1049318339, 1049318337, 1049318311, 1049318310, 1049318309, 1049318294, 1049318293, 1049318291, 1049318289, 1049318288, 1049318287, 1049318279, 1049318276, 1049318273, 1049318271, 1049318268, 1049318265, 1049318260, 1049318257, 1049318253, 1049318250, 1049318247, 1049318246, 1049318222, 1049318219, 1049318216, 1049318214, 1049318213, 1049318212, 1049317554, 1049317551, 1049317549, 1049317546, 1049317542, 1049317536, 1049317526, 1049317525, 1049317524, 1049317522, 1049317520, 1049317517, 1049317497, 1049317493, 1049317491, 1049317489, 1049317487, 1049317485, 1049317468, 1049317461, 1049317457, 1049317453, 1049317444, 1049317440, 1049317359, 1049317333, 1049317282, 1049317225, 1049317210, 1049317197, 1049316790, 1049316785, 1049316782, 1049316778, 1049316752, 1049316749, 1049316610, 1049316600, 1049316597, 1049316594, 1049316588, 1049316582, 1049316545, 1049316543, 1049316540, 1049316537, 1049316534, 1049316520, 1049316338, 1049316336, 1049316332, 1049316331, 1049316257, 1049316255, 1049316222, 1049316216, 1049316214, 1049316212, 1049316210, 1049316209, 1049313025, 1049312984, 1049312803, 1049312588, 1049312585, 1049312583, 1049312579, 1049312574, 1049312573, 1049312571, 1049312568, 1049312566, 1049312562, 1049312556, 1049312508, 1049312489, 1049312488, 1049312487, 1049312485, 1049312484, 1049312464, 1049312463, 1049312462, 1049312461, 1049312460, 1049312449, 1049312445, 1049312444, 1049312442, 1049312440, 1049312438, 1049312429, 1049312426, 1049312424, 1049312422, 1049312420, 1049312409, 1049312406, 1049312404, 1049312363, 1049312208, 1049311964, 1049311963, 1049311962, 1049311961, 1049311960, 1049311943, 1049311938, 1049311937, 1049311935, 1049311934, 1049311932, 1049311795, 1049311793, 1049311791, 1049311771, 1049311767, 1049311267, 1049311266, 1049311263, 1049311252, 1049311199, 1049311136, 1049311073, 1049311009, 1049311006, 1049310994, 1049310992, 1049310991, 1049310984, 1049310982, 1049310981, 1049310919, 1049310914, 1049310911, 1049310909, 1049310907, 1049310905, 1049310165, 1049310162, 1049310159, 1049310145, 1049310141, 1049310139, 1049310138, 1049310134, 1049310132, 1049309737, 1049309734, 1049309732, 1049309706, 1049309703, 1049309701, 1049309686, 1049309681, 1049309677, 1049309675, 1049309672, 1049309670, 1049309658, 1049309657, 1049309656, 1049309655, 1049309653, 1049309651, 1049309605, 1049309603, 1049309599, 1049309597, 1049309595, 1049309592, 1049309385, 1049309383, 1049309382, 1049309381, 1049309380, 1049309379, 1049309345, 1049308384, 1049308381, 1049308376, 1049308280, 1049308276, 1049308275, 1049308235, 1049307693, 1049306823, 1049306804, 1049306792, 1049306791, 1049306635, 1049306205, 1049304810, 1049303925, 1049296996, 1049296121, 1049294990, 1049293230]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.02231121063232422
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
we use local cache db, so we are in local job, but when commit will be implemented for local cache db, we could again use save
number of steps :  1
step1:split_time_score
Wed Feb 26 16:40:42 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
begin split time score
2022-04-13 10:29:59 0
SELECT app_name, token FROM MTRUser.mtr_app_api_token WHERE mtr_user_id=739 AND app_name="token_split_time_score" AND expire_at > NOW() 
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}]
thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 4599398 group by h
(('05', 2), ('07', 25), ('06', 1), ('08', 96), ('09', 44), ('10', 64))

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4599398  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4599398)  AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4599398)  AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 188, 2: 36, 3: 8}
07092021 4599398 Nombre de photos uploadées : 232 / 23040 (1%)
07092021 4599398 Nombre de photos taguées (types de déchets): 232 / 232 (100%)
07092021 4599398 Nombre de photos taguées (volume) : 232 / 232 (100%)
[{'photo_id': 1049293230, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/7/f23ba47cedee4657ed22c3d9f9535a34.jpg', 'username': None, 'uploaded_at': 1630984864, 'text': 'image_07092021_05_20_04_010050m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}, {'photo_id': 1049296121, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/7/0093b445a3c4de9b92562659d544a352.jpg', 'username': None, 'uploaded_at': 1630986542, 'text': 'image_07092021_05_47_33_009984m0.jpg 0.002 for time 1, id_amount 3 this amount prod time diff : 0.001'}, {'photo_id': 1049296996, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/7/f6ab2ade6ce6c6a1cdc5e37444e94ea8.jpg', 'username': None, 'uploaded_at': 1630987563, 'text': 'image_07092021_06_05_54_010003m0.jpg 0.003 for time 1, id_amount 3 this amount prod time diff : 0.001'}, {'photo_id': 1049303925, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/7/225c2975cddc22def1487c51a2d2f466.jpg', 'username': None, 'uploaded_at': 1630990923, 'text': 'image_07092021_07_00_04_009910m0.jpg 0.004 for time 1, id_amount 3 this amount prod time diff : 0.001'}]
232
[{'photo_id': 1049318293, 'score': 0.9999683, 'hashtag': '05102018_Papier_non_papier_tres_dense', 'hashtag_id': 2107751016, 'label': 4599398}, {'photo_id': 1049312426, 'score': 0.9998722, 'hashtag': '05102018_Papier_non_papier_tres_dense', 'hashtag_id': 2107751016, 'label': 4599398}, {'photo_id': 1049318291, 'score': 0.9998473, 'hashtag': '05102018_Papier_non_papier_tres_dense', 'hashtag_id': 2107751016, 'label': 4599398}, {'photo_id': 1049318289, 'score': 0.99982566, 'hashtag': '05102018_Papier_non_papier_tres_dense', 'hashtag_id': 2107751016, 'label': 4599398}]
 elapsed_time : load_data_split_time_score 3.337860107421875e-06
 elapsed_time : order_list_meta_photo_and_scores 0.00010824203491210938
 elapsed_time : fill_and_build_computed_from_old_data 0.010789155960083008

        INSERT INTO `MTRPhoto`.`dashboard_entry_day`
(`dashboard_place_id`,
`mtr_portfolio_id`,
`date`)
VALUES
(
42, 4599398, '2021-09-07'
) ON DUPLICATE KEY UPDATE mtr_portfolio_id=VALUES(mtr_portfolio_id), updated_at=NOW();


        INSERT INTO `MTRPhoto`.`dashboard_run_ids`
(`dashboard_entry_day`,
`mtr_user_id`,
`misc_info`)
VALUES
(106260,739,"{}");

 elapsed_time : insert_dashboard_record_day_entry 0.023816585540771484

 Creating list_photo_total 

 in select_descriptors : SELECT `photo_id`, `type_store` FROM MTRPhoto.photo_desc_search
        WHERE photo_id IN (1049293230,1049296121,1049296996,1049303925,1049304810,1049306205,1049306635,1049306791,1049294990,1049306792,1049306804,1049306823,1049307693,1049308235,1049308275,1049308276,1049308280,1049308376,1049308381,1049308384,1049309345,1049309379,1049309380,1049309381,1049309382,1049309383,1049309385,1049309592,1049309595,1049309597,1049309599,1049309603,1049309605,1049309651,1049309653,1049309655,1049309656,1049309657,1049309658,1049309670,1049309672,1049309675,1049309677,1049309681,1049309686,1049309701,1049309703,1049309706,1049309732,1049309734,1049309737,1049310132,1049310134,1049310138,1049310139,1049310141,1049310145,1049310159,1049310162,1049310165,1049310905,1049310907,1049310909,1049310911,1049310914,1049310919,1049310981,1049310982,1049310984,1049310991,1049310992,1049310994,1049311006,1049311009,1049311073,1049311136,1049311199,1049311252,1049311263,1049311266,1049311267,1049311767,1049311771,1049311791,1049311793,1049311795,1049311932,1049311934,1049311935,1049311937,1049311938,1049311943,1049311960,1049311961,1049311962,1049311963,1049311964,1049312208,1049312363,1049312404,1049312406,1049312409,1049312420,1049312422,1049312424,1049312426,1049312429,1049312438,1049312440,1049312442,1049312444,1049312445,1049312449,1049312460,1049312461,1049312462,1049312463,1049312464,1049312484,1049312485,1049312487,1049312488,1049312489,1049312508,1049312556,1049312562,1049312566,1049312568,1049312571,1049312573,1049312574,1049312579,1049312583,1049312585,1049312588,1049312803,1049312984,1049313025,1049316209,1049316210,1049316212,1049316214,1049316216,1049316222,1049316255,1049316257,1049316331,1049316332,1049316336,1049316338,1049316520,1049316534,1049316537,1049316540,1049316543,1049316545,1049316582,1049316588,1049316594,1049316597,1049316600,1049316610,1049316749,1049316752,1049316778,1049316782,1049316785,1049316790,1049317197,1049317210,1049317225,1049317282,1049317333,1049317359,1049317440,1049317444,1049317453,1049317457,1049317461,1049317468,1049317485,1049317487,1049317489,1049317491,1049317493,1049317497,1049317517,1049317520,1049317522,1049317524,1049317525,1049317526,1049317536,1049317542,1049317546,1049317549,1049317551,1049317554,1049318212,1049318213,1049318214,1049318216,1049318219,1049318222,1049318246,1049318247,1049318250,1049318253,1049318257,1049318260,1049318265,1049318268,1049318271,1049318273,1049318276,1049318279,1049318287,1049318288,1049318289,1049318291,1049318293,1049318294,1049318309,1049318310,1049318311,1049318337,1049318339,1049318342,1049318356,1049318358,1049318360,1049318362) AND `type`=3963
 elapsed_time : select_descriptors 21.026820421218872
07092021 4599398 Nombre de photos avec descriptors (type 3963) : 232 / 232 (100%)
ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) :  0 vs 2048 photo_id : 1049293230 photo_id_prec : 0
0:00:00|ON:0:27:28.999934|OFF:1:46:59.999878|ON:0:00:20.000007|OFF:0:01:51.000162|ON:0:12:18.999909|OFF:0:01:01.000055|ON:0:08:50.000116|OFF:0:00:09.999867|ON:0:00:19.999899|OFF:0:00:09.000058|ON:0:00:29.999860|OFF:0:01:40.000249|ON:0:00:30.999931|OFF:0:07:40.000107|ON:0:00:28.999981|OFF:0:00:09.999968|ON:0:00:10.999986|OFF:0:08:09.999919|ON:0:00:40.000176|OFF:0:01:08.999784|ON:0:00:11.000245|OFF:0:00:39.999921|ON:0:00:19.000004|OFF:0:06:31.000039|ON:0:02:09.999929|OFF:0:01:40.000021|ON:0:00:39.000031|OFF:0:07:10.999966|ON:0:12:30.000101|OFF:0:00:18.999765|ON:0:00:39.999946|OFF:0:00:11.000212|ON:0:00:29.999851|OFF:0:00:20.000150|ON:0:00:30.000042|OFF:0:00:18.999771|ON:0:07:31.000243|OFF:0:00:09.999942|ON:0:00:08.999822|OFF:0:00:11.000172|ON:0:00:39.999914|OFF:0:00:20|ON:0:31:10.000147|OFF:0:12:18.999857|ON:0:01:39.999950|OFF:0:00:19.999947|ON:0:00:21.000213|OFF:0:00:28.999911|ON:0:00:21.000117|OFF:0:00:40.000020|ON:0:10:58.999762|OFF:0:00:41.000023|ON:0:00:09.000008|OFF:0:00:21.000234|ON:0:00:29.999765|OFF:0:00:28.999920|ON:0:00:21.000174|OFF:0:00:30.000078|ON:0:00:29.999938|OFF:0:00:29.999871|ON:0:00:08.999965|OFF:0:09:31.000234|ON:0:00:09.999916|OFF:0:00:20.000049|ON:0:04:09.999926|OFF:0:01:09.000014|ON:0:02:00.999957|OFF:0:00:08.999951|ON:0:00:21.000053|OFF:0:00:18.999927|ON:0:00:39.999997|OFF:0:00:30.000158|ON:
 07092021 Removing 115 photos because of the 'same image' condition
 list_time_on : 36 first ten : [datetime.timedelta(seconds=1648, microseconds=999934), datetime.timedelta(seconds=20, microseconds=7), datetime.timedelta(seconds=738, microseconds=999909), datetime.timedelta(seconds=530, microseconds=116), datetime.timedelta(seconds=19, microseconds=999899), datetime.timedelta(seconds=29, microseconds=999860), datetime.timedelta(seconds=30, microseconds=999931), datetime.timedelta(seconds=28, microseconds=999981), datetime.timedelta(seconds=10, microseconds=999986), datetime.timedelta(seconds=40, microseconds=176)]
 list_time_off : 37 first ten : [datetime.timedelta(0), datetime.timedelta(seconds=6419, microseconds=999878), datetime.timedelta(seconds=111, microseconds=162), datetime.timedelta(seconds=61, microseconds=55), datetime.timedelta(seconds=9, microseconds=999867), datetime.timedelta(seconds=9, microseconds=58), datetime.timedelta(seconds=100, microseconds=249), datetime.timedelta(seconds=460, microseconds=107), datetime.timedelta(seconds=9, microseconds=999968), datetime.timedelta(seconds=489, microseconds=999919)]
Total on : 7859.999814999999
list_time_on
{'nb': 36, 'mean': 218.33332819444445, 'stddev': 429.7602163813713, 'min': 8.999822, 'max': 1870.000147, 'quantil_10': {'min': [9.999916], 'max': [738.999909]}, 'quantil_100': {'min': [8.999822], 'max': [1870.000147]}, 'quantil_1000': {'min': [8.999822], 'max': [1870.000147]}, 'quantil_5000': {'min': [8.999822], 'max': [1870.000147]}, 'quantil_10000': {'min': [8.999822], 'max': [1870.000147]}}


Total off : 10509.0002
list_time_off
{'nb': 37, 'mean': 284.02703243243246, 'stddev': 1039.1357821819204, 'min': 0.0, 'max': 6419.999878, 'quantil_10': {'min': [9.999867], 'max': [489.999919]}, 'quantil_100': {'min': [0.0], 'max': [6419.999878]}, 'quantil_1000': {'min': [0.0], 'max': [6419.999878]}, 'quantil_5000': {'min': [0.0], 'max': [6419.999878]}, 'quantil_10000': {'min': [0.0], 'max': [6419.999878]}}


dist_desc




begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 232
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1049293230, 2107752370, 1539)
...
 last line : (1049318362, 2107752370, 1539)
time used for this insertion : 0.12050628662109375
  photos_removed : len 115
 elapsed_time : remove_photo_duplicate 0.19000530242919922

 Creating list_photo_total 

XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX elapsed_time : count_sum_diff_and_build_graph 0.036560773849487305
 Total photos : 232
..can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
....can't find max_score_info
.....can't find max_score_info
.can't find max_score_info
...Change port : 10 hashtag : 2107750911   photo_id =1049308384 : rungis_plastique_fonce
..can't find max_score_info
...can't find max_score_info
....can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
....can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
....can't find max_score_info
..can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.....can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
..can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
...can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.....Change port : 25 hashtag : 2107750908   photo_id =1049311795 : rungis_papier
..can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
...Change port : 4 hashtag : 2107750911   photo_id =1049311961 : rungis_plastique_fonce
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.Change port : 1 hashtag : 2107750908   photo_id =1049312208 : rungis_papier
.....Change port : 5 hashtag : 2107750911   photo_id =1049312420 : rungis_plastique_fonce
.Change port : 1 hashtag : 2107750908   photo_id =1049312422 : rungis_papier
..can't find max_score_info
.can't find max_score_info
.Change port : 2 hashtag : 2107750911   photo_id =1049312438 : rungis_plastique_fonce
....can't find max_score_info
...can't find max_score_info
.can't find max_score_info
....can't find max_score_info
.can't find max_score_info
....Change port : 12 hashtag : 2107750908   photo_id =1049312556 : rungis_papier
.can't find max_score_info
..can't find max_score_info
.....can't find max_score_info
.can't find max_score_info
...Change port : 8 hashtag : 2107750911   photo_id =1049312984 : rungis_plastique_fonce
...can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.........can't find max_score_info
.can't find max_score_info
...can't find max_score_info
.can't find max_score_info
...can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
...can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.Change port : 17 hashtag : 2107751280   photo_id =1049317359 : rungis_aluminium
.can't find max_score_info
.can't find max_score_info
....can't find max_score_info
.can't find max_score_info
.can't find max_score_info
...can't find max_score_info
.can't find max_score_info
.can't find max_score_info
...Change port : 8 hashtag : 2107750913   photo_id =1049317524 : rungis_tetrapak
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
..can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.Change port : 2 hashtag : 2107750911   photo_id =1049318212 : rungis_plastique_fonce
.can't find max_score_info
.can't find max_score_info
...can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.can't find max_score_info
..........Change port : 12 hashtag : 2107750908   photo_id =1049318287 : rungis_papier
...can't find max_score_info
..Change port : 4 hashtag : 2107750911   photo_id =1049318294 : rungis_plastique_fonce
.can't find max_score_info
.can't find max_score_info
.....can't find max_score_info
.can't find max_score_info
.can't find max_score_info
.
 Total photos : 232
Number of lists : 15
counter photos in port : 117
 hashtag : rungis_aluminium(2107751280) : 8 photos in 1 portfolios !
 hashtag : rungis_carton(2107750907) : 0 photos in 0 portfolios !
 hashtag : rungis_papier(2107750908) : 33 photos in 6 portfolios !
 hashtag : rungis_plastique_clair(2107750909) : 0 photos in 0 portfolios !
 hashtag : rungis_plastique_dur(2107750910) : 0 photos in 0 portfolios !
 hashtag : rungis_plastique_fonce(2107750911) : 74 photos in 7 portfolios !
 hashtag : rungis_tapis_vide(2107750912) : 0 photos in 0 portfolios !
 hashtag : rungis_tetrapak(2107750913) : 2 photos in 1 portfolios !
 elapsed_time : group_photo_by_moyenne_exp 0.008493661880493164
 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 3.5762786865234375e-06
today str has not a value , we define it as the date of the first image
todaystr_first : 07092021
attention , prev_timestamp is 0 , we do nothing
*******o**
BIG TIME 550.0000100135803 (11.000229120254517, 2, 0, 0, 0.979349, 0, 0, 0, 0, 0, 0.8199999980926513, 0.0012, 0.0008999778032302856, 2.9, 0.11100016188621521, -0.0) on 3 1049307693 2021-09-07 07:45:54.010041 id_data : 12  

*
BIG TIME 168.99982810020447 (11.000229120254517, 2, 0, 0, 0.979349, 0, 0, 0, 0, 0, 0.8199999980926513, 0.0012, 0.0008999778032302856, 2.9, 0.11100016188621521, -0.0) on 3 1049308235 2021-09-07 07:48:43.009869 id_data : 13  

**
BIG TIME 499.9998118877411 (191.00026988983154, 2, 0, 0, 0.93498826, 0, 0, 0, 0, 0, 0.9018999995946884, 0.002, 0.002999984407424927, 2.9, 0.019000051021575926, -0.01666705330212911) on 7 1049309345 2021-09-07 07:58:43.009858 id_data : 20  

*
BIG TIME 371.0001440048218 (271.00081276893616, 5, 0.24365342, 0, 0, 0, 0, 0.38418204, 0, 0.34177557, 0.9720000085830689, 0.0041, 0.014999971222877502, 2.9, 0.061000473976135255, -0.2516670016447703) on 15 1049310132 2021-09-07 08:09:54.010082 id_data : 51  

*
BIG TIME 461.0001001358032 (301.0006546974182, 0, 0.5752453, 0, 0, 0, 0, 0, 0, 0, 1.0228999980926514, 0.0056, 0.02589997522830963, 2.9, 0.009999968051910401, -0.0) on 18 1049310905 2021-09-07 08:18:54.009936 id_data : 60  

*
BIG TIME 370.0001759529114 (359.0003435611725, 5, 0, 0, 0, 0, 0, 0.85983855, 0, 0, 1.0898999773979188, 0.0078, 0.04109999623298645, 2.9, 0.008999762058258056, -0.0) on 24 1049311767 2021-09-07 08:28:24.010105 id_data : 81  

***
BIG TIME 411.0001149177551 (557.9999935626984, 2, 0, 0, 0.66983944, 0, 0, 0, 0, 0, 1.1558999848842622, 0.0094, 0.050199996829032895, 2.9, 0.00900000500679016, -0.0) on 32 1049312208 2021-09-07 08:40:04.010052 id_data : 97  

*
BIG TIME 549.9999330043793 (557.9999935626984, 2, 0, 0, 0.66983944, 0, 0, 0, 0, 0, 1.1558999848842622, 0.0094, 0.050199996829032895, 2.9, 0.00900000500679016, -0.0) on 32 1049312363 2021-09-07 08:49:14.009985 id_data : 98  

**
BIG TIME 168.99987387657166 (867.0004575252533, 2, 0, 0, 0.5498895, 0, 0, 0, 0, 0.29987606, 1.293000004196167, 0.0123, 0.06009994525909424, 0.9, 0.011000201940536499, -0.0) on 49 1049312508 2021-09-07 08:58:23.009966 id_data : 123  

*
BIG TIME 259.99999809265137 (867.0004575252533, 2, 0, 0, 0.5498895, 0, 0, 0, 0, 0.29987606, 1.293000004196167, 0.0123, 0.06009994525909424, 0.9, 0.011000201940536499, -0.0) on 49 1049312556 2021-09-07 09:02:43.009964 id_data : 124  

*
BIG TIME 190.00016593933105 (929.000762462616, 5, 0, 0, 0.44379362, 0, 0, 0.54574114, 0, 0, 1.3459999933004378, 0.0135, 0.06409994735717774, 2.9, 0.009999895095825195, -0.0) on 55 1049312803 2021-09-07 09:07:34.010149 id_data : 135  

*
BIG TIME 180.0000081062317 (929.000762462616, 5, 0, 0, 0.44379362, 0, 0, 0.54574114, 0, 0, 1.3459999933004378, 0.0135, 0.06409994735717774, 2.9, 0.009999895095825195, -0.0) on 55 1049312984 2021-09-07 09:10:34.010157 id_data : 136  

*
BIG TIME 1480.0000269412994 (939.0006575584412, 5, 0, 0, 0.2945285, 0, 0, 0.48689777, 0, 0.20073189, 1.3838999820947646, 0.0138, 0.06409994735717774, 2.9, 0.018999608993530273, -0.6316664799054463) on 56 1049316209 2021-09-07 09:35:23.009898 id_data : 138  

*
BIG TIME 668.9998891353607 (939.0006575584412, 5, 0, 0, 0.2945285, 0, 0, 0.48689777, 0, 0.20073189, 1.3838999820947646, 0.0138, 0.06409994735717774, 2.9, 0.018999608993530273, -0.6316664799054463) on 56 1049316332 2021-09-07 09:47:53.009987 id_data : 147  

*
BIG TIME 649.9999890327454 (1086.000019311905, 5, 0, 0, 0, 0, 0, 0.69907516, 0, 0.23055789, 1.6300000094890594, 0.0168, 0.08039999685287476, 2.9, 0.01100021505355835, -0.0) on 68 1049317197 2021-09-07 10:02:34.010134 id_data : 168  

*
BIG TIME 540.0001981258392 (1189.0002081394196, 0, 0.8074409, 0, 0, 0, 0, 0, 0, 0, 1.7199999867916107, 0.0194, 0.09519999706745148, 2.9, 0.009999808073043823, -0.0) on 78 1049318212 2021-09-07 10:16:24.010117 id_data : 198  

*
BIG TIME 190.00007104873657 (1199.0000162124634, 5, 0, 0.22708784, 0, 0, 0, 0.7244179, 0, 0, 1.781000003194809, 0.0202, 0.10109996955394746, 2.9, 0.011000241041183472, -0.0) on 79 1049318219 2021-09-07 10:20:04.010153 id_data : 202  

**Count Time bigger than 30s : 31
#Number Photos for regression : 
{'07092021': {2107751280: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 80.99965000152588, 2107751017: 0}, 2107750907: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 49.000049114227295, 2107751017: 0}, 2107750908: {2107751013: 0, 2107751014: 11.000201940536499, 2107751015: 0, 2107751016: 534.9997780323029, 2107751017: 0}, 2107750909: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107750910: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 31.000057697296143, 2107751017: 0}, 2107750911: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 564.0013737678528, 2107751017: 19.999656200408936}, 2107750912: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107750913: {2107751013: 0, 2107751014: 8.999944925308228, 2107751015: 0, 2107751016: 89.99986672401428, 2107751017: 9.999994993209839}}}
07092021|rungis_aluminium, 05102018_papier_non_papier_dense:0
07092021|rungis_aluminium, 05102018_papier_non_papier_peu_dense:0
07092021|rungis_aluminium, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_aluminium, 05102018_papier_non_papier_tres_dense:80.99965000152588
07092021|rungis_aluminium, 05102018_papier_non_papier_tres_peu_dense:0
07092021|rungis_carton, 05102018_papier_non_papier_dense:0
07092021|rungis_carton, 05102018_papier_non_papier_peu_dense:0
07092021|rungis_carton, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_carton, 05102018_papier_non_papier_tres_dense:49.000049114227295
07092021|rungis_carton, 05102018_papier_non_papier_tres_peu_dense:0
07092021|rungis_papier, 05102018_papier_non_papier_dense:0
07092021|rungis_papier, 05102018_papier_non_papier_peu_dense:11.000201940536499
07092021|rungis_papier, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_papier, 05102018_papier_non_papier_tres_dense:534.9997780323029
07092021|rungis_papier, 05102018_papier_non_papier_tres_peu_dense:0
07092021|rungis_plastique_clair, 05102018_papier_non_papier_dense:0
07092021|rungis_plastique_clair, 05102018_papier_non_papier_peu_dense:0
07092021|rungis_plastique_clair, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_plastique_clair, 05102018_papier_non_papier_tres_dense:0
07092021|rungis_plastique_clair, 05102018_papier_non_papier_tres_peu_dense:0
07092021|rungis_plastique_dur, 05102018_papier_non_papier_dense:0
07092021|rungis_plastique_dur, 05102018_papier_non_papier_peu_dense:0
07092021|rungis_plastique_dur, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_plastique_dur, 05102018_papier_non_papier_tres_dense:31.000057697296143
07092021|rungis_plastique_dur, 05102018_papier_non_papier_tres_peu_dense:0
07092021|rungis_plastique_fonce, 05102018_papier_non_papier_dense:0
07092021|rungis_plastique_fonce, 05102018_papier_non_papier_peu_dense:0
07092021|rungis_plastique_fonce, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_plastique_fonce, 05102018_papier_non_papier_tres_dense:564.0013737678528
07092021|rungis_plastique_fonce, 05102018_papier_non_papier_tres_peu_dense:19.999656200408936
07092021|rungis_tapis_vide, 05102018_papier_non_papier_dense:0
07092021|rungis_tapis_vide, 05102018_papier_non_papier_peu_dense:0
07092021|rungis_tapis_vide, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_tapis_vide, 05102018_papier_non_papier_tres_dense:0
07092021|rungis_tapis_vide, 05102018_papier_non_papier_tres_peu_dense:0
07092021|rungis_tetrapak, 05102018_papier_non_papier_dense:0
07092021|rungis_tetrapak, 05102018_papier_non_papier_peu_dense:8.999944925308228
07092021|rungis_tetrapak, 05102018_papier_non_papier_presque_vide:0
07092021|rungis_tetrapak, 05102018_papier_non_papier_tres_dense:89.99986672401428
07092021|rungis_tetrapak, 05102018_papier_non_papier_tres_peu_dense:9.999994993209839
#Number Photos for regression amount gros magasin papier (time_diff then nb_photo) : 
We have not displayed the number of photos removed for one material since Rungis_Papier wasn't in the thcl used !
07092021_time_diff_distrib


 Number amount portfolio for this type of dechet :  aluminium 8
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_aluminium_05102018_papier_non_papier_tres_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20846967 with name like 07092021_aluminium_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  carton 6
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_carton_05102018_papier_non_papier_tres_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20846968 with name like 07092021_carton_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  papier 29
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_papier_05102018_papier_non_papier_peu_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20846969 with name like 07092021_papier_05102018_papier_non_papier_peu_dense
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_papier_05102018_papier_non_papier_tres_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20846970 with name like 07092021_papier_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  plastique_clair 0
 Number amount portfolio for this type of dechet :  plastique_dur 2
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_plastique_dur_05102018_papier_non_papier_tres_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20846971 with name like 07092021_plastique_dur_05102018_papier_non_papier_tres_dense
 Number amount portfolio for this type of dechet :  plastique_fonce 42
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_plastique_fonce_05102018_papier_non_papier_tres_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20846972 with name like 07092021_plastique_fonce_05102018_papier_non_papier_tres_dense
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_plastique_fonce_05102018_papier_non_papier_tres_peu_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20846973 with name like 07092021_plastique_fonce_05102018_papier_non_papier_tres_peu_dense
 Number amount portfolio for this type of dechet :  tapis_vide 0
 Number amount portfolio for this type of dechet :  tetrapak 11
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_tetrapak_05102018_papier_non_papier_peu_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20846974 with name like 07092021_tetrapak_05102018_papier_non_papier_peu_dense
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_tetrapak_05102018_papier_non_papier_tres_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20846975 with name like 07092021_tetrapak_05102018_papier_non_papier_tres_dense
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07092021_tetrapak_05102018_papier_non_papier_tres_peu_dense&access_token=0fc1cdda0f63f39f777d9cb33b1aa204
Created to study and clean : 20846976 with name like 07092021_tetrapak_05102018_papier_non_papier_tres_peu_dense
 NUMBER BATCH : 15
 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['pcnc', 'pcm', 'jrm', 'flux_dev', 'pehd_pp', 'papier', 'carton', 'plastique_dur', 'plastique_clair', 'pet_clair', 'plastique_fonce', 'tetrapak', 'aluminium', 'carton_emr', 'grands_cartons', 'gros_de_magasin', 'tapis_vide']
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : papier_diff_batch__07092021_05_20_04_010050
Nombres de balles papier_diff_batch__07092021_05_20_04_010050 : 0.19500026988983155 duration : 9008.999763965607
update_text_in_photos list_photo_id_text len : 10 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2beeca9f10>
None
result_one_balle_Type_papier:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 10, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 191.00026988983154, 3: 0, 4: 0}, 'duration': 9008.999763965607, 'nb_balles_papier': 0.19500026988983155, 'begin_time_port': 'image_07092021_05_20_04_010050m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.19500026988983155
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_07_50_23_010046
Nombres de balles plastique_fonce_diff_batch__07092021_07_50_23_010046 : 0.2299996557235718 duration : 2329.999878883362
update_text_in_photos list_photo_id_text len : 25 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2beeca9e20>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 25, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 225.99965572357178, 3: 0, 4: 0}, 'duration': 2329.999878883362, 'nb_balles_papier': 0.2299996557235718, 'begin_time_port': 'image_07092021_07_50_23_010046m0.jpg 0.010000231981277466 for time 10.000231981277466, id_amount 3 this amount prod time diff : 0.010000231981277466'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.2299996557235718
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : papier_diff_batch__07092021_08_29_24_010122
Nombres de balles papier_diff_batch__07092021_08_29_24_010122 : 0.14100006794929504 duration : 189.9997718334198
update_text_in_photos list_photo_id_text len : 4 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2beeca9eb0>
None
result_one_balle_Type_papier:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 141.00006794929504, 3: 0, 4: 0}, 'duration': 189.9997718334198, 'nb_balles_papier': 0.14100006794929504, 'begin_time_port': 'image_07092021_08_29_24_010122m0.jpg 0.011000197172164917 for time 11.000197172164917, id_amount 3 this amount prod time diff : 0.011000197172164917'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.14100006794929504
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_08_32_43_009899
Nombres de balles plastique_fonce_diff_batch__07092021_08_32_43_009899 : 0.00900000500679016 duration : 0
update_text_in_photos list_photo_id_text len : 1 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2beeca9f40>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 9.000005006790161, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 0.00900000500679016, 'begin_time_port': 'image'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.00900000500679016
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : papier_diff_batch__07092021_08_40_04_010052
Nombres de balles papier_diff_batch__07092021_08_40_04_010052 : 0.15099991703033447 duration : 698.9998500347137
update_text_in_photos list_photo_id_text len : 5 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c0a3d90>
None
result_one_balle_Type_papier:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 148.99991703033447, 3: 0, 4: 0}, 'duration': 698.9998500347137, 'nb_balles_papier': 0.15099991703033447, 'begin_time_port': 'image_07092021_08_40_04_010052m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.15099991703033447
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_08_51_54_010119
Nombres de balles plastique_fonce_diff_batch__07092021_08_51_54_010119 : 0.011000216960906983 duration : 0
update_text_in_photos list_photo_id_text len : 1 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c2c30d0>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 11.000216960906982, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 0.011000216960906983, 'begin_time_port': 'image'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.011000216960906983
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : papier_diff_batch__07092021_08_52_13_009932
Nombres de balles papier_diff_batch__07092021_08_52_13_009932 : 0.0289998140335083 duration : 0
update_text_in_photos list_photo_id_text len : 2 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c2c3040>
None
result_one_balle_Type_papier:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 28.9998140335083, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 0.0289998140335083, 'begin_time_port': 'image'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.0289998140335083
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_08_52_53_009918
Nombres de balles plastique_fonce_diff_batch__07092021_08_52_53_009918 : 0.12300071287155151 duration : 330.0000479221344
update_text_in_photos list_photo_id_text len : 12 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c2c30d0>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 1, 1: 0, 2: 11, 3: 0, 4: 0}, 'map_time_amount': {0: 11.000201940536499, 1: 0, 2: 111.00051093101501, 3: 0, 4: 0}, 'duration': 330.0000479221344, 'nb_balles_papier': 0.12300071287155151, 'begin_time_port': 'image_07092021_08_52_53_009918m0.jpg 0.01 for time 10.0, id_amount 3 this amount prod time diff : 0.01'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.12300071287155151
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : papier_diff_batch__07092021_09_02_43_009964
Nombres de balles papier_diff_batch__07092021_09_02_43_009964 : 0.06299999809265137 duration : 291.0001850128174
update_text_in_photos list_photo_id_text len : 8 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c2c3250>
None
result_one_balle_Type_papier:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 60.99999809265137, 3: 0, 4: 0}, 'duration': 291.0001850128174, 'nb_balles_papier': 0.06299999809265137, 'begin_time_port': 'image_07092021_09_02_43_009964m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.06299999809265137
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_09_10_34_010157
Nombres de balles plastique_fonce_diff_batch__07092021_09_10_34_010157 : 0.16199957680702212 duration : 3119.999976873398
update_text_in_photos list_photo_id_text len : 17 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c2c3190>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 1, 1: 0, 2: 16, 3: 0, 4: 0}, 'map_time_amount': {0: 8.999944925308228, 1: 0, 2: 148.99963188171387, 3: 0, 4: 0}, 'duration': 3119.999976873398, 'nb_balles_papier': 0.16199957680702212, 'begin_time_port': 'image_07092021_09_10_34_010157m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.16199957680702212
We filter photos on hashtag condition !
Listed one port to create portfolio : aluminium_diff_batch__07092021_10_03_24_009930
Nombres de balles aluminium_diff_batch__07092021_10_03_24_009930 : 0.08200012373924254 duration : 150.00017404556274
update_text_in_photos list_photo_id_text len : 8 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c2c3130>
None
result_one_balle_Type_aluminium:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 7, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 72.00012874603271, 3: 9.999994993209839, 4: 0}, 'duration': 150.00017404556274, 'nb_balles_papier': 0.08200012373924254, 'begin_time_port': 'image_07092021_10_03_24_009930m0.jpg 0.009999775886535644 for time 9.999775886535645, id_amount 3 this amount prod time diff : 0.009999775886535644'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.08200012373924254
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : tetrapak_diff_batch__07092021_10_06_04_009954
Nombres de balles tetrapak_diff_batch__07092021_10_06_04_009954 : 0.01999965810775757 duration : 0
update_text_in_photos list_photo_id_text len : 2 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c2c3310>
None
result_one_balle_Type_tetrapak:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 19.99965810775757, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 0.01999965810775757, 'begin_time_port': 'image'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.01999965810775757
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_10_16_24_010117
Nombres de balles plastique_fonce_diff_batch__07092021_10_16_24_010117 : 0.10300015306472779 duration : 428.99973487854004
update_text_in_photos list_photo_id_text len : 12 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c2c3370>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 10, 3: 2, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 81.00049686431885, 3: 19.999656200408936, 4: 0}, 'duration': 428.99973487854004, 'nb_balles_papier': 0.10300015306472779, 'begin_time_port': 'image_07092021_10_16_24_010117m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.10300015306472779
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : papier_diff_batch__07092021_10_23_44_010139
Nombres de balles papier_diff_batch__07092021_10_23_44_010139 : 0.04000009298324585 duration : 38.99979090690613
update_text_in_photos list_photo_id_text len : 4 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c2c33d0>
None
result_one_balle_Type_papier:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 40.00009298324585, 3: 0, 4: 0}, 'duration': 38.99979090690613, 'nb_balles_papier': 0.04000009298324585, 'begin_time_port': 'image_07092021_10_23_44_010139m0.jpg 0.011000287055969239 for time 11.000287055969238, id_amount 3 this amount prod time diff : 0.011000287055969239'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.04000009298324585
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
Listed one port to create portfolio : plastique_fonce_diff_batch__07092021_10_24_34_010156
Nombres de balles plastique_fonce_diff_batch__07092021_10_24_34_010156 : 0.060000311136245724 duration : 98.99990916252136
update_text_in_photos list_photo_id_text len : 6 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c2c3430>
None
result_one_balle_Type_plastique_fonce:{'day': '07092021', 'map_nb_amount': {0: 0, 1: 0, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 60.00031113624573, 3: 0, 4: 0}, 'duration': 98.99990916252136, 'nb_balles_papier': 0.060000311136245724, 'begin_time_port': 'image_07092021_10_24_34_010156m0.jpg 0.011000226020812989 for time 11.000226020812988, id_amount 3 this amount prod time diff : 0.011000226020812989'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.060000311136245724
We filter photos on hashtag condition !
We have rejected 0 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 15
list_same_port_ids : [13545772]


 find same portfolio which already exist 13545772 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545772 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545772 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545774]


 find same portfolio which already exist 13545774 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545774 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545774 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545777]


 find same portfolio which already exist 13545777 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545777 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545777 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [5570414]


 find same portfolio which already exist 5570414 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 5570414 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=5570414 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545779]


 find same portfolio which already exist 13545779 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545779 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545779 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545780]


 find same portfolio which already exist 13545780 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545780 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545780 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545783]


 find same portfolio which already exist 13545783 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545783 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545783 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545785]


 find same portfolio which already exist 13545785 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545785 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545785 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545787]


 find same portfolio which already exist 13545787 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545787 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545787 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13545788]


 find same portfolio which already exist 13545788 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13545788 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13545788 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13543473]


 find same portfolio which already exist 13543473 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13543473 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13543473 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13543474]


 find same portfolio which already exist 13543474 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13543474 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13543474 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13543475]


 find same portfolio which already exist 13543475 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13543475 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13543475 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13543476]


 find same portfolio which already exist 13543476 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13543476 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13543476 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [13543477]


 find same portfolio which already exist 13543477 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 13543477 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=13543477 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545772
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=370
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 13545772
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=370
                    ORDER BY created_at desc LIMIT 1
 list_result_datou : []
select url from MTRUser.mtr_files where mtd_id = 370 and mtr_portfolio_id = 13545772 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545772
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______papier',
'2021-09-07 05:20:04.010050', '2021-09-07 07:50:13.009814',
10, 13545772,
-1, -1,
'-1', "{'max_time_prod_two_photos': 111.00016188621521}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545774
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2384716, 'mtr_portfolio_id': 13545774, 'created_at': datetime.datetime(2024, 11, 20, 23, 53, 57), 'result': '0.005814130015432098', 'result_long': None, 'result_double': None}]
Qualite : 0.005814130015432098
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13545774 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545774 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______plastique_fonce',
'2021-09-07 07:50:23.010046', '2021-09-07 08:29:13.009925',
25, 13545774,
0.005814130015432098, 2384716,
'-1', "{'max_time_prod_two_photos': 29.999945163726807, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13545774_21-11-2024_04_22_16.pdf', 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13644096, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13644097, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13644098, 'pht': 4199}, 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13644099, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13644100, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13644101, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13644102, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13644103, 'pht': 4199}, 'ela': {'hashtag': 'ela', 'sub_port_id': 13644104, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13644105, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13644106, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13644107, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13644108, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13644109, 'pht': 4199}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545777
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=370
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 370, 'mtr_datou_current_id': 2384717, 'mtr_portfolio_id': 13545777, 'created_at': datetime.datetime(2024, 11, 20, 23, 51, 48), 'result': '0.1888521086140681', 'result_long': None, 'result_double': None}]
Qualite : 0.1888521086140681
select url from MTRUser.mtr_files where mtd_id = 370 and mtr_portfolio_id = 13545777 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545777
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______papier',
'2021-09-07 08:29:24.010122', '2021-09-07 08:32:34.009894',
4, 13545777,
0.1888521086140681, 2384717,
'-1', "{'max_time_prod_two_photos': 61.00024700164795}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 5570414
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2384718, 'mtr_portfolio_id': 5570414, 'created_at': datetime.datetime(2024, 11, 21, 0, 1, 16), 'result': '0.007415846836419753', 'result_long': None, 'result_double': None}]
Qualite : 0.007415846836419753
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 5570414 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=5570414 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______plastique_fonce',
'2021-09-07 08:32:43.009899', '2021-09-07 08:32:43.009899',
1, 5570414,
0.007415846836419753, 2384718,
'-1', "{'max_time_prod_two_photos': 9.000005006790161, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P5570414_21-11-2024_00_01_20.pdf', 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 5570430, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 5570431, 'pht': 4199}, 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 5570432, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 5570433, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 5570434, 'pht': 4199}, 'ela': {'hashtag': 'ela', 'sub_port_id': 5570435, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 5570436, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 5570437, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 5570438, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 5570439, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 5570440, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 5570441, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 5570442, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 5570443, 'pht': 4199}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545779
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=370
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 13545779
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=370
                    ORDER BY created_at desc LIMIT 1
select value from MTRUser.portfolio_carac_ratio where portfolio_id = 
                            13545779 
                            and created_at >= (
                            SELECT min(created_at)
                            FROM MTRPhoto.mtr_datou_result
                            WHERE mtr_portfolio_id = 13545779
                            AND result is not null
                            and result<>"None"
                            and result=0.0
                            AND mtd_id=370
                            )and created_at < (
                            SELECT addtime(max(created_at),100)
                            FROM MTRPhoto.mtr_datou_result
                            WHERE mtr_portfolio_id = 13545779
                            AND result is not null
                            and result<>"None"
                            and result=0.0
                            AND mtd_id=370
                            ) order by value desc
                        
 list_result_datou : []
select url from MTRUser.mtr_files where mtd_id = 370 and mtr_portfolio_id = 13545779 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545779
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______papier',
'2021-09-07 08:40:04.010052', '2021-09-07 08:51:43.009902',
5, 13545779,
-1, -1,
'-1', "{'max_time_prod_two_photos': 119.00011491775513}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545780
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2591870, 'mtr_portfolio_id': 13545780, 'created_at': datetime.datetime(2025, 2, 16, 9, 56, 31), 'result': '0.004572120949074074', 'result_long': None, 'result_double': None}]
Qualite : 0.004572120949074074
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13545780 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545780 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______plastique_fonce',
'2021-09-07 08:51:54.010119', '2021-09-07 08:51:54.010119',
1, 13545780,
0.004572120949074074, 2591870,
'-1', "{'max_time_prod_two_photos': 11.000216960906982, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13545780_23-01-2025_12_31_57.pdf', 'ela': {'hashtag': 'ela', 'sub_port_id': 13644047, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13644048, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13644049, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13644050, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13644051, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13644052, 'pht': 4199}, 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13644053, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13644054, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13644055, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13644056, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13644057, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13644058, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13644059, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13644060, 'pht': 4199}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545783
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=370
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 13545783
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=370
                    ORDER BY created_at desc LIMIT 1
 list_result_datou : []
select url from MTRUser.mtr_files where mtd_id = 370 and mtr_portfolio_id = 13545783 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545783
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______papier',
'2021-09-07 08:52:13.009932', '2021-09-07 08:52:23.009933',
2, 13545783,
-1, -1,
'-1', "{'max_time_prod_two_photos': 18.999813079833984}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545785
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2384720, 'mtr_portfolio_id': 13545785, 'created_at': datetime.datetime(2024, 11, 21, 0, 23, 50), 'result': '0.00907640496399177', 'result_long': None, 'result_double': None}]
Qualite : 0.00907640496399177
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13545785 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545785 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______plastique_fonce',
'2021-09-07 08:52:53.009918', '2021-09-07 08:58:23.009966',
12, 13545785,
0.00907640496399177, 2384720,
'-1', "{'max_time_prod_two_photos': 20.00016689300537, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13545785_21-11-2024_00_23_50.pdf', 'ela': {'hashtag': 'ela', 'sub_port_id': 13644079, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13644080, 'pht': 4199}, 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13644081, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13644082, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13644083, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13644084, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13644085, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13644086, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13644087, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13644088, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13644089, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13644090, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13644091, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13644092, 'pht': 4199}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545787
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=370
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 13545787
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=370
                    ORDER BY created_at desc LIMIT 1
select value from MTRUser.portfolio_carac_ratio where portfolio_id = 
                            13545787 
                            and created_at >= (
                            SELECT min(created_at)
                            FROM MTRPhoto.mtr_datou_result
                            WHERE mtr_portfolio_id = 13545787
                            AND result is not null
                            and result<>"None"
                            and result=0.0
                            AND mtd_id=370
                            )and created_at < (
                            SELECT addtime(max(created_at),100)
                            FROM MTRPhoto.mtr_datou_result
                            WHERE mtr_portfolio_id = 13545787
                            AND result is not null
                            and result<>"None"
                            and result=0.0
                            AND mtd_id=370
                            ) order by value desc
                        
 list_result_datou : []
select url from MTRUser.mtr_files where mtd_id = 370 and mtr_portfolio_id = 13545787 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545787
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______papier',
'2021-09-07 09:02:43.009964', '2021-09-07 09:07:34.010149',
8, 13545787,
-1, -1,
'-1', "{'max_time_prod_two_photos': 11.000171899795532}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13545788
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2384721, 'mtr_portfolio_id': 13545788, 'created_at': datetime.datetime(2024, 11, 21, 0, 29, 37), 'result': '0.01485129824918373', 'result_long': None, 'result_double': None}]
Qualite : 0.01485129824918373
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13545788 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13545788 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______plastique_fonce',
'2021-09-07 09:10:34.010157', '2021-09-07 10:02:34.010134',
17, 13545788,
0.01485129824918373, 2384721,
'-1', "{'max_time_prod_two_photos': 21.00007677078247, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13545788_21-11-2024_00_29_38.pdf', 'ela': {'hashtag': 'ela', 'sub_port_id': 13644062, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13644063, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13644064, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13644065, 'pht': 4199}, 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13644066, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13644067, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13644068, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13644069, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13644070, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13644071, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13644072, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13644073, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13644074, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13644075, 'pht': 4199}}"
);
select url from MTRUser.mtr_files where mtd_id = 0 and mtr_portfolio_id = 13543473 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 0 init_dummy_multi_datou is not linked in the step_by_step architecture !
WARNING : step 1294 init_dummy_multi_datou is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13543473
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______aluminium',
'2021-09-07 10:03:24.009930', '2021-09-07 10:05:54.010104',
8, 13543473,
-1, -1,
'-1', "{'max_time_prod_two_photos': 11.00031304359436}"
);
select url from MTRUser.mtr_files where mtd_id = 0 and mtr_portfolio_id = 13543474 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : step 0 init_dummy_multi_datou is not linked in the step_by_step architecture !
WARNING : step 1294 init_dummy_multi_datou is not linked in the step_by_step architecture !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13543474
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______tetrapak',
'2021-09-07 10:06:04.009954', '2021-09-07 10:06:44.009918',
2, 13543474,
-1, -1,
'-1', "{'max_time_prod_two_photos': 9.999850034713745}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13543475
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2384722, 'mtr_portfolio_id': 13543475, 'created_at': datetime.datetime(2024, 11, 21, 0, 33, 35), 'result': '0.003848153410463827', 'result_long': None, 'result_double': None}]
Qualite : 0.003848153410463827
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13543475 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13543475 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______plastique_fonce',
'2021-09-07 10:16:24.010117', '2021-09-07 10:23:33.009852',
12, 13543475,
0.003848153410463827, 2384722,
'-1', "{'max_time_prod_two_photos': 11.000241041183472, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13543475_21-11-2024_00_33_36.pdf', 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13648411, 'pht': 4199}, 'ela': {'hashtag': 'ela', 'sub_port_id': 13648412, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13648413, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13648414, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13648415, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13648416, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13648417, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13648418, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13648419, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13648420, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13648421, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13648422, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13648423, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13648424, 'pht': 4199}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13543476
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=370
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 370, 'mtr_datou_current_id': 2384723, 'mtr_portfolio_id': 13543476, 'created_at': datetime.datetime(2024, 11, 21, 0, 42, 12), 'result': '0.11478003563407302', 'result_long': None, 'result_double': None}]
Qualite : 0.11478003563407302
select url from MTRUser.mtr_files where mtd_id = 370 and mtr_portfolio_id = 13543476 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
TODO
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13543476
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______papier',
'2021-09-07 10:23:44.010139', '2021-09-07 10:24:23.009930',
4, 13543476,
0.11478003563407302, 2384723,
'-1', "{'max_time_prod_two_photos': 11.000287055969238}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 13543477
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3979
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2384724, 'mtr_portfolio_id': 13543477, 'created_at': datetime.datetime(2024, 11, 21, 0, 52, 17), 'result': '0.019897576026366652', 'result_long': None, 'result_double': None}]
Qualite : 0.019897576026366652
select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13543477 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 10260 doesn't seem to be define in the database(
WARNING : type of input 3 of step 10259 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 10260 doesn't seem to be define in the database(
WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None
WARNING : type of output 2 of step 10257 doesn't seem to be define in the database(
WARNING : type of input 2 of step 10261 doesn't seem to be define in the database(
WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1
WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7
WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5
WARNING : type of output 2 of step 10264 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10258 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=13543477 AND  mptpi.`type`=4199
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633679, '_______plastique_fonce',
'2021-09-07 10:24:34.010156', '2021-09-07 10:26:13.010065',
6, 13543477,
0.019897576026366652, 2384724,
'-1', "{'max_time_prod_two_photos': 11.000226020812988, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13543477_21-11-2024_00_52_17.pdf', 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13648396, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13648397, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13648398, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13648399, 'pht': 4199}, 'ela': {'hashtag': 'ela', 'sub_port_id': 13648400, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13648401, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13648402, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13648403, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13648404, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13648405, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13648406, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13648407, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13648408, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13648409, 'pht': 4199}}"
);
 elapsed_time : count_nb_balles_and_create_portfolio 20.63208794593811
# DISPLAY ALL COLLECTED DATA : 
{'07092021': {'nb_upload': 232, 'nb_taggue_class': 232, 'nb_taggue_densite': 232, 'nb_descriptors': 232, 'number_port': 15, 'count_photo_in_port': 117, 'nb_port_per_class': {'rungis_aluminium': {'nb_photos': 8, 'nb_portfolios': 1}, 'rungis_carton': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_papier': {'nb_photos': 33, 'nb_portfolios': 6}, 'rungis_plastique_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_plastique_dur': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_plastique_fonce': {'nb_photos': 74, 'nb_portfolios': 7}, 'rungis_tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_tetrapak': {'nb_photos': 2, 'nb_portfolios': 1}}}}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 42.02359580993652
time spend to save output : 0.0002048015594482422
total time spend for step 1 : 42.02380061149597

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral 
[1049318362, 1049318360, 1049318358, 1049318356, 1049318342, 1049318339, 1049318337, 1049318311, 1049318310, 1049318309, 1049318294, 1049318293, 1049318291, 1049318289, 1049318288, 1049318287, 1049318279, 1049318276, 1049318273, 1049318271, 1049318268, 1049318265, 1049318260, 1049318257, 1049318253, 1049318250, 1049318247, 1049318246, 1049318222, 1049318219, 1049318216, 1049318214, 1049318213, 1049318212, 1049317554, 1049317551, 1049317549, 1049317546, 1049317542, 1049317536, 1049317526, 1049317525, 1049317524, 1049317522, 1049317520, 1049317517, 1049317497, 1049317493, 1049317491, 1049317489, 1049317487, 1049317485, 1049317468, 1049317461, 1049317457, 1049317453, 1049317444, 1049317440, 1049317359, 1049317333, 1049317282, 1049317225, 1049317210, 1049317197, 1049316790, 1049316785, 1049316782, 1049316778, 1049316752, 1049316749, 1049316610, 1049316600, 1049316597, 1049316594, 1049316588, 1049316582, 1049316545, 1049316543, 1049316540, 1049316537, 1049316534, 1049316520, 1049316338, 1049316336, 1049316332, 1049316331, 1049316257, 1049316255, 1049316222, 1049316216, 1049316214, 1049316212, 1049316210, 1049316209, 1049313025, 1049312984, 1049312803, 1049312588, 1049312585, 1049312583, 1049312579, 1049312574, 1049312573, 1049312571, 1049312568, 1049312566, 1049312562, 1049312556, 1049312508, 1049312489, 1049312488, 1049312487, 1049312485, 1049312484, 1049312464, 1049312463, 1049312462, 1049312461, 1049312460, 1049312449, 1049312445, 1049312444, 1049312442, 1049312440, 1049312438, 1049312429, 1049312426, 1049312424, 1049312422, 1049312420, 1049312409, 1049312406, 1049312404, 1049312363, 1049312208, 1049311964, 1049311963, 1049311962, 1049311961, 1049311960, 1049311943, 1049311938, 1049311937, 1049311935, 1049311934, 1049311932, 1049311795, 1049311793, 1049311791, 1049311771, 1049311767, 1049311267, 1049311266, 1049311263, 1049311252, 1049311199, 1049311136, 1049311073, 1049311009, 1049311006, 1049310994, 1049310992, 1049310991, 1049310984, 1049310982, 1049310981, 1049310919, 1049310914, 1049310911, 1049310909, 1049310907, 1049310905, 1049310165, 1049310162, 1049310159, 1049310145, 1049310141, 1049310139, 1049310138, 1049310134, 1049310132, 1049309737, 1049309734, 1049309732, 1049309706, 1049309703, 1049309701, 1049309686, 1049309681, 1049309677, 1049309675, 1049309672, 1049309670, 1049309658, 1049309657, 1049309656, 1049309655, 1049309653, 1049309651, 1049309605, 1049309603, 1049309599, 1049309597, 1049309595, 1049309592, 1049309385, 1049309383, 1049309382, 1049309381, 1049309380, 1049309379, 1049309345, 1049308384, 1049308381, 1049308376, 1049308280, 1049308276, 1049308275, 1049308235, 1049307693, 1049306823, 1049306804, 1049306792, 1049306791, 1049306635, 1049306205, 1049304810, 1049303925, 1049296996, 1049296121, 1049294990, 1049293230]
 map_info['map_portfolio_photo'] : {4599398: [1049318362, 1049318360, 1049318358, 1049318356, 1049318342, 1049318339, 1049318337, 1049318311, 1049318310, 1049318309, 1049318294, 1049318293, 1049318291, 1049318289, 1049318288, 1049318287, 1049318279, 1049318276, 1049318273, 1049318271, 1049318268, 1049318265, 1049318260, 1049318257, 1049318253, 1049318250, 1049318247, 1049318246, 1049318222, 1049318219, 1049318216, 1049318214, 1049318213, 1049318212, 1049317554, 1049317551, 1049317549, 1049317546, 1049317542, 1049317536, 1049317526, 1049317525, 1049317524, 1049317522, 1049317520, 1049317517, 1049317497, 1049317493, 1049317491, 1049317489, 1049317487, 1049317485, 1049317468, 1049317461, 1049317457, 1049317453, 1049317444, 1049317440, 1049317359, 1049317333, 1049317282, 1049317225, 1049317210, 1049317197, 1049316790, 1049316785, 1049316782, 1049316778, 1049316752, 1049316749, 1049316610, 1049316600, 1049316597, 1049316594, 1049316588, 1049316582, 1049316545, 1049316543, 1049316540, 1049316537, 1049316534, 1049316520, 1049316338, 1049316336, 1049316332, 1049316331, 1049316257, 1049316255, 1049316222, 1049316216, 1049316214, 1049316212, 1049316210, 1049316209, 1049313025, 1049312984, 1049312803, 1049312588, 1049312585, 1049312583, 1049312579, 1049312574, 1049312573, 1049312571, 1049312568, 1049312566, 1049312562, 1049312556, 1049312508, 1049312489, 1049312488, 1049312487, 1049312485, 1049312484, 1049312464, 1049312463, 1049312462, 1049312461, 1049312460, 1049312449, 1049312445, 1049312444, 1049312442, 1049312440, 1049312438, 1049312429, 1049312426, 1049312424, 1049312422, 1049312420, 1049312409, 1049312406, 1049312404, 1049312363, 1049312208, 1049311964, 1049311963, 1049311962, 1049311961, 1049311960, 1049311943, 1049311938, 1049311937, 1049311935, 1049311934, 1049311932, 1049311795, 1049311793, 1049311791, 1049311771, 1049311767, 1049311267, 1049311266, 1049311263, 1049311252, 1049311199, 1049311136, 1049311073, 1049311009, 1049311006, 1049310994, 1049310992, 1049310991, 1049310984, 1049310982, 1049310981, 1049310919, 1049310914, 1049310911, 1049310909, 1049310907, 1049310905, 1049310165, 1049310162, 1049310159, 1049310145, 1049310141, 1049310139, 1049310138, 1049310134, 1049310132, 1049309737, 1049309734, 1049309732, 1049309706, 1049309703, 1049309701, 1049309686, 1049309681, 1049309677, 1049309675, 1049309672, 1049309670, 1049309658, 1049309657, 1049309656, 1049309655, 1049309653, 1049309651, 1049309605, 1049309603, 1049309599, 1049309597, 1049309595, 1049309592, 1049309385, 1049309383, 1049309382, 1049309381, 1049309380, 1049309379, 1049309345, 1049308384, 1049308381, 1049308376, 1049308280, 1049308276, 1049308275, 1049308235, 1049307693, 1049306823, 1049306804, 1049306792, 1049306791, 1049306635, 1049306205, 1049304810, 1049303925, 1049296996, 1049296121, 1049294990, 1049293230]}
 final :  True mtd_id 3789 list_pids : [1049318362, 1049318360, 1049318358, 1049318356, 1049318342, 1049318339, 1049318337, 1049318311, 1049318310, 1049318309, 1049318294, 1049318293, 1049318291, 1049318289, 1049318288, 1049318287, 1049318279, 1049318276, 1049318273, 1049318271, 1049318268, 1049318265, 1049318260, 1049318257, 1049318253, 1049318250, 1049318247, 1049318246, 1049318222, 1049318219, 1049318216, 1049318214, 1049318213, 1049318212, 1049317554, 1049317551, 1049317549, 1049317546, 1049317542, 1049317536, 1049317526, 1049317525, 1049317524, 1049317522, 1049317520, 1049317517, 1049317497, 1049317493, 1049317491, 1049317489, 1049317487, 1049317485, 1049317468, 1049317461, 1049317457, 1049317453, 1049317444, 1049317440, 1049317359, 1049317333, 1049317282, 1049317225, 1049317210, 1049317197, 1049316790, 1049316785, 1049316782, 1049316778, 1049316752, 1049316749, 1049316610, 1049316600, 1049316597, 1049316594, 1049316588, 1049316582, 1049316545, 1049316543, 1049316540, 1049316537, 1049316534, 1049316520, 1049316338, 1049316336, 1049316332, 1049316331, 1049316257, 1049316255, 1049316222, 1049316216, 1049316214, 1049316212, 1049316210, 1049316209, 1049313025, 1049312984, 1049312803, 1049312588, 1049312585, 1049312583, 1049312579, 1049312574, 1049312573, 1049312571, 1049312568, 1049312566, 1049312562, 1049312556, 1049312508, 1049312489, 1049312488, 1049312487, 1049312485, 1049312484, 1049312464, 1049312463, 1049312462, 1049312461, 1049312460, 1049312449, 1049312445, 1049312444, 1049312442, 1049312440, 1049312438, 1049312429, 1049312426, 1049312424, 1049312422, 1049312420, 1049312409, 1049312406, 1049312404, 1049312363, 1049312208, 1049311964, 1049311963, 1049311962, 1049311961, 1049311960, 1049311943, 1049311938, 1049311937, 1049311935, 1049311934, 1049311932, 1049311795, 1049311793, 1049311791, 1049311771, 1049311767, 1049311267, 1049311266, 1049311263, 1049311252, 1049311199, 1049311136, 1049311073, 1049311009, 1049311006, 1049310994, 1049310992, 1049310991, 1049310984, 1049310982, 1049310981, 1049310919, 1049310914, 1049310911, 1049310909, 1049310907, 1049310905, 1049310165, 1049310162, 1049310159, 1049310145, 1049310141, 1049310139, 1049310138, 1049310134, 1049310132, 1049309737, 1049309734, 1049309732, 1049309706, 1049309703, 1049309701, 1049309686, 1049309681, 1049309677, 1049309675, 1049309672, 1049309670, 1049309658, 1049309657, 1049309656, 1049309655, 1049309653, 1049309651, 1049309605, 1049309603, 1049309599, 1049309597, 1049309595, 1049309592, 1049309385, 1049309383, 1049309382, 1049309381, 1049309380, 1049309379, 1049309345, 1049308384, 1049308381, 1049308376, 1049308280, 1049308276, 1049308275, 1049308235, 1049307693, 1049306823, 1049306804, 1049306792, 1049306791, 1049306635, 1049306205, 1049304810, 1049303925, 1049296996, 1049296121, 1049294990, 1049293230]
Looping around the photos to save general results
len do output : 1
/4599398Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2c481689d0>
Managing all output in save final without adding information in the mtr_datou_result 
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318362', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318360', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318358', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318356', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318342', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318339', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318337', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318311', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318310', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318309', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318294', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318293', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318291', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318289', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318288', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318287', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318279', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318276', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318273', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318271', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318268', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318265', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318260', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318257', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318253', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318250', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318247', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318246', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318222', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318219', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318216', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318214', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318213', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049318212', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317554', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317551', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317549', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317546', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317542', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317536', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317526', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317525', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317524', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317522', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317520', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317517', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317497', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317493', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317491', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317489', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317487', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317485', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317468', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317461', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317457', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317453', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317444', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317440', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317359', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317333', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317282', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317225', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317210', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049317197', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316790', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316785', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316782', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316778', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316752', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316749', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316610', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316600', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316597', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316594', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316588', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316582', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316545', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316543', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316540', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316537', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316534', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316520', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316338', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316336', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316332', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316331', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316257', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316255', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316222', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316216', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316214', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316212', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316210', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049316209', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049313025', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312984', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312803', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312588', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312585', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312583', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312579', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312574', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312573', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312571', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312568', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312566', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312562', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312556', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312508', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312489', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312488', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312487', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312485', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312484', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312464', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312463', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312462', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312461', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312460', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312449', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312445', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312444', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312442', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312440', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312438', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312429', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312426', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312424', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312422', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312420', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312409', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312406', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312404', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312363', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049312208', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311964', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311963', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311962', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311961', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311960', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311943', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311938', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311937', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311935', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311934', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311932', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311795', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311793', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311791', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311771', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311767', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311267', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311266', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311263', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311252', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311199', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311136', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311073', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311009', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049311006', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310994', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310992', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310991', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310984', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310982', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310981', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310919', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310914', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310911', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310909', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310907', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310905', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310165', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310162', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310159', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310145', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310141', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310139', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310138', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310134', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049310132', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309737', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309734', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309732', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309706', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309703', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309701', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309686', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309681', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309677', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309675', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309672', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309670', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309658', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309657', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309656', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309655', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309653', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309651', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309605', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309603', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309599', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309597', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309595', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309592', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309385', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309383', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309382', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309381', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309380', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309379', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049309345', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308384', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308381', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308376', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308280', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308276', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308275', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049308235', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049307693', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049306823', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049306804', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049306792', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049306791', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049306635', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049306205', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049304810', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049303925', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049296996', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049296121', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049294990', None, None, None, None, None, None)
('3789', None, None, None, None, None, None, None, None)
('3789', '4599398', '1049293230', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 233
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3789', None, '4599398', 'None', None, None, None, None, None), ('3789', '4599398', '1049318362', None, None, None, None, None, None), ('3789', '4599398', '1049318360', None, None, None, None, None, None), ('3789', '4599398', '1049318358', None, None, None, None, None, None), ('3789', '4599398', '1049318356', None, None, None, None, None, None), ('3789', '4599398', '1049318342', None, None, None, None, None, None), ('3789', '4599398', '1049318339', None, None, None, None, None, None), ('3789', '4599398', '1049318337', None, None, None, None, None, None), ('3789', '4599398', '1049318311', None, None, None, None, None, None), ('3789', '4599398', '1049318310', None, None, None, None, None, None), ('3789', '4599398', '1049318309', None, None, None, None, None, None), ('3789', '4599398', '1049318294', None, None, None, None, None, None), ('3789', '4599398', '1049318293', None, None, None, None, None, None), ('3789', '4599398', '1049318291', None, None, None, None, None, None), ('3789', '4599398', '1049318289', None, None, None, None, None, None), ('3789', '4599398', '1049318288', None, None, None, None, None, None), ('3789', '4599398', '1049318287', None, None, None, None, None, None), ('3789', '4599398', '1049318279', None, None, None, None, None, None), ('3789', '4599398', '1049318276', None, None, None, None, None, None), ('3789', '4599398', '1049318273', None, None, None, None, None, None), ('3789', '4599398', '1049318271', None, None, None, None, None, None), ('3789', '4599398', '1049318268', None, None, None, None, None, None), ('3789', '4599398', '1049318265', None, None, None, None, None, None), ('3789', '4599398', '1049318260', None, None, None, None, None, None), ('3789', '4599398', '1049318257', None, None, None, None, None, None), ('3789', '4599398', '1049318253', None, None, None, None, None, None), ('3789', '4599398', '1049318250', None, None, None, None, None, None), ('3789', '4599398', '1049318247', None, None, None, None, None, None), ('3789', '4599398', '1049318246', None, None, None, None, None, None), ('3789', '4599398', '1049318222', None, None, None, None, None, None), ('3789', '4599398', '1049318219', None, None, None, None, None, None), ('3789', '4599398', '1049318216', None, None, None, None, None, None), ('3789', '4599398', '1049318214', None, None, None, None, None, None), ('3789', '4599398', '1049318213', None, None, None, None, None, None), ('3789', '4599398', '1049318212', None, None, None, None, None, None), ('3789', '4599398', '1049317554', None, None, None, None, None, None), ('3789', '4599398', '1049317551', None, None, None, None, None, None), ('3789', '4599398', '1049317549', None, None, None, None, None, None), ('3789', '4599398', '1049317546', None, None, None, None, None, None), ('3789', '4599398', '1049317542', None, None, None, None, None, None), ('3789', '4599398', '1049317536', None, None, None, None, None, None), ('3789', '4599398', '1049317526', None, None, None, None, None, None), ('3789', '4599398', '1049317525', None, None, None, None, None, None), ('3789', '4599398', '1049317524', None, None, None, None, None, None), ('3789', '4599398', '1049317522', None, None, None, None, None, None), ('3789', '4599398', '1049317520', None, None, None, None, None, None), ('3789', '4599398', '1049317517', None, None, None, None, None, None), ('3789', '4599398', '1049317497', None, None, None, None, None, None), ('3789', '4599398', '1049317493', None, None, None, None, None, None), ('3789', '4599398', '1049317491', None, None, None, None, None, None), ('3789', '4599398', '1049317489', None, None, None, None, None, None), ('3789', '4599398', '1049317487', None, None, None, None, None, None), ('3789', '4599398', '1049317485', None, None, None, None, None, None), ('3789', '4599398', '1049317468', None, None, None, None, None, None), ('3789', '4599398', '1049317461', None, None, None, None, None, None), ('3789', '4599398', '1049317457', None, None, None, None, None, None), ('3789', '4599398', '1049317453', None, None, None, None, None, None), ('3789', '4599398', '1049317444', None, None, None, None, None, None), ('3789', '4599398', '1049317440', None, None, None, None, None, None), ('3789', '4599398', '1049317359', None, None, None, None, None, None), ('3789', '4599398', '1049317333', None, None, None, None, None, None), ('3789', '4599398', '1049317282', None, None, None, None, None, None), ('3789', '4599398', '1049317225', None, None, None, None, None, None), ('3789', '4599398', '1049317210', None, None, None, None, None, None), ('3789', '4599398', '1049317197', None, None, None, None, None, None), ('3789', '4599398', '1049316790', None, None, None, None, None, None), ('3789', '4599398', '1049316785', None, None, None, None, None, None), ('3789', '4599398', '1049316782', None, None, None, None, None, None), ('3789', '4599398', '1049316778', None, None, None, None, None, None), ('3789', '4599398', '1049316752', None, None, None, None, None, None), ('3789', '4599398', '1049316749', None, None, None, None, None, None), ('3789', '4599398', '1049316610', None, None, None, None, None, None), ('3789', '4599398', '1049316600', None, None, None, None, None, None), ('3789', '4599398', '1049316597', None, None, None, None, None, None), ('3789', '4599398', '1049316594', None, None, None, None, None, None), ('3789', '4599398', '1049316588', None, None, None, None, None, None), ('3789', '4599398', '1049316582', None, None, None, None, None, None), ('3789', '4599398', '1049316545', None, None, None, None, None, None), ('3789', '4599398', '1049316543', None, None, None, None, None, None), ('3789', '4599398', '1049316540', None, None, None, None, None, None), ('3789', '4599398', '1049316537', None, None, None, None, None, None), ('3789', '4599398', '1049316534', None, None, None, None, None, None), ('3789', '4599398', '1049316520', None, None, None, None, None, None), ('3789', '4599398', '1049316338', None, None, None, None, None, None), ('3789', '4599398', '1049316336', None, None, None, None, None, None), ('3789', '4599398', '1049316332', None, None, None, None, None, None), ('3789', '4599398', '1049316331', None, None, None, None, None, None), ('3789', '4599398', '1049316257', None, None, None, None, None, None), ('3789', '4599398', '1049316255', None, None, None, None, None, None), ('3789', '4599398', '1049316222', None, None, None, None, None, None), ('3789', '4599398', '1049316216', None, None, None, None, None, None), ('3789', '4599398', '1049316214', None, None, None, None, None, None), ('3789', '4599398', '1049316212', None, None, None, None, None, None), ('3789', '4599398', '1049316210', None, None, None, None, None, None), ('3789', '4599398', '1049316209', None, None, None, None, None, None), ('3789', '4599398', '1049313025', None, None, None, None, None, None), ('3789', '4599398', '1049312984', None, None, None, None, None, None), ('3789', '4599398', '1049312803', None, None, None, None, None, None), ('3789', '4599398', '1049312588', None, None, None, None, None, None), ('3789', '4599398', '1049312585', None, None, None, None, None, None), ('3789', '4599398', '1049312583', None, None, None, None, None, None), ('3789', '4599398', '1049312579', None, None, None, None, None, None), ('3789', '4599398', '1049312574', None, None, None, None, None, None), ('3789', '4599398', '1049312573', None, None, None, None, None, None), ('3789', '4599398', '1049312571', None, None, None, None, None, None), ('3789', '4599398', '1049312568', None, None, None, None, None, None), ('3789', '4599398', '1049312566', None, None, None, None, None, None), ('3789', '4599398', '1049312562', None, None, None, None, None, None), ('3789', '4599398', '1049312556', None, None, None, None, None, None), ('3789', '4599398', '1049312508', None, None, None, None, None, None), ('3789', '4599398', '1049312489', None, None, None, None, None, None), ('3789', '4599398', '1049312488', None, None, None, None, None, None), ('3789', '4599398', '1049312487', None, None, None, None, None, None), ('3789', '4599398', '1049312485', None, None, None, None, None, None), ('3789', '4599398', '1049312484', None, None, None, None, None, None), ('3789', '4599398', '1049312464', None, None, None, None, None, None), ('3789', '4599398', '1049312463', None, None, None, None, None, None), ('3789', '4599398', '1049312462', None, None, None, None, None, None), ('3789', '4599398', '1049312461', None, None, None, None, None, None), ('3789', '4599398', '1049312460', None, None, None, None, None, None), ('3789', '4599398', '1049312449', None, None, None, None, None, None), ('3789', '4599398', '1049312445', None, None, None, None, None, None), ('3789', '4599398', '1049312444', None, None, None, None, None, None), ('3789', '4599398', '1049312442', None, None, None, None, None, None), ('3789', '4599398', '1049312440', None, None, None, None, None, None), ('3789', '4599398', '1049312438', None, None, None, None, None, None), ('3789', '4599398', '1049312429', None, None, None, None, None, None), ('3789', '4599398', '1049312426', None, None, None, None, None, None), ('3789', '4599398', '1049312424', None, None, None, None, None, None), ('3789', '4599398', '1049312422', None, None, None, None, None, None), ('3789', '4599398', '1049312420', None, None, None, None, None, None), ('3789', '4599398', '1049312409', None, None, None, None, None, None), ('3789', '4599398', '1049312406', None, None, None, None, None, None), ('3789', '4599398', '1049312404', None, None, None, None, None, None), ('3789', '4599398', '1049312363', None, None, None, None, None, None), ('3789', '4599398', '1049312208', None, None, None, None, None, None), ('3789', '4599398', '1049311964', None, None, None, None, None, None), ('3789', '4599398', '1049311963', None, None, None, None, None, None), ('3789', '4599398', '1049311962', None, None, None, None, None, None), ('3789', '4599398', '1049311961', None, None, None, None, None, None), ('3789', '4599398', '1049311960', None, None, None, None, None, None), ('3789', '4599398', '1049311943', None, None, None, None, None, None), ('3789', '4599398', '1049311938', None, None, None, None, None, None), ('3789', '4599398', '1049311937', None, None, None, None, None, None), ('3789', '4599398', '1049311935', None, None, None, None, None, None), ('3789', '4599398', '1049311934', None, None, None, None, None, None), ('3789', '4599398', '1049311932', None, None, None, None, None, None), ('3789', '4599398', '1049311795', None, None, None, None, None, None), ('3789', '4599398', '1049311793', None, None, None, None, None, None), ('3789', '4599398', '1049311791', None, None, None, None, None, None), ('3789', '4599398', '1049311771', None, None, None, None, None, None), ('3789', '4599398', '1049311767', None, None, None, None, None, None), ('3789', '4599398', '1049311267', None, None, None, None, None, None), ('3789', '4599398', '1049311266', None, None, None, None, None, None), ('3789', '4599398', '1049311263', None, None, None, None, None, None), ('3789', '4599398', '1049311252', None, None, None, None, None, None), ('3789', '4599398', '1049311199', None, None, None, None, None, None), ('3789', '4599398', '1049311136', None, None, None, None, None, None), ('3789', '4599398', '1049311073', None, None, None, None, None, None), ('3789', '4599398', '1049311009', None, None, None, None, None, None), ('3789', '4599398', '1049311006', None, None, None, None, None, None), ('3789', '4599398', '1049310994', None, None, None, None, None, None), ('3789', '4599398', '1049310992', None, None, None, None, None, None), ('3789', '4599398', '1049310991', None, None, None, None, None, None), ('3789', '4599398', '1049310984', None, None, None, None, None, None), ('3789', '4599398', '1049310982', None, None, None, None, None, None), ('3789', '4599398', '1049310981', None, None, None, None, None, None), ('3789', '4599398', '1049310919', None, None, None, None, None, None), ('3789', '4599398', '1049310914', None, None, None, None, None, None), ('3789', '4599398', '1049310911', None, None, None, None, None, None), ('3789', '4599398', '1049310909', None, None, None, None, None, None), ('3789', '4599398', '1049310907', None, None, None, None, None, None), ('3789', '4599398', '1049310905', None, None, None, None, None, None), ('3789', '4599398', '1049310165', None, None, None, None, None, None), ('3789', '4599398', '1049310162', None, None, None, None, None, None), ('3789', '4599398', '1049310159', None, None, None, None, None, None), ('3789', '4599398', '1049310145', None, None, None, None, None, None), ('3789', '4599398', '1049310141', None, None, None, None, None, None), ('3789', '4599398', '1049310139', None, None, None, None, None, None), ('3789', '4599398', '1049310138', None, None, None, None, None, None), ('3789', '4599398', '1049310134', None, None, None, None, None, None), ('3789', '4599398', '1049310132', None, None, None, None, None, None), ('3789', '4599398', '1049309737', None, None, None, None, None, None), ('3789', '4599398', '1049309734', None, None, None, None, None, None), ('3789', '4599398', '1049309732', None, None, None, None, None, None), ('3789', '4599398', '1049309706', None, None, None, None, None, None), ('3789', '4599398', '1049309703', None, None, None, None, None, None), ('3789', '4599398', '1049309701', None, None, None, None, None, None), ('3789', '4599398', '1049309686', None, None, None, None, None, None), ('3789', '4599398', '1049309681', None, None, None, None, None, None), ('3789', '4599398', '1049309677', None, None, None, None, None, None), ('3789', '4599398', '1049309675', None, None, None, None, None, None), ('3789', '4599398', '1049309672', None, None, None, None, None, None), ('3789', '4599398', '1049309670', None, None, None, None, None, None), ('3789', '4599398', '1049309658', None, None, None, None, None, None), ('3789', '4599398', '1049309657', None, None, None, None, None, None), ('3789', '4599398', '1049309656', None, None, None, None, None, None), ('3789', '4599398', '1049309655', None, None, None, None, None, None), ('3789', '4599398', '1049309653', None, None, None, None, None, None), ('3789', '4599398', '1049309651', None, None, None, None, None, None), ('3789', '4599398', '1049309605', None, None, None, None, None, None), ('3789', '4599398', '1049309603', None, None, None, None, None, None), ('3789', '4599398', '1049309599', None, None, None, None, None, None), ('3789', '4599398', '1049309597', None, None, None, None, None, None), ('3789', '4599398', '1049309595', None, None, None, None, None, None), ('3789', '4599398', '1049309592', None, None, None, None, None, None), ('3789', '4599398', '1049309385', None, None, None, None, None, None), ('3789', '4599398', '1049309383', None, None, None, None, None, None), ('3789', '4599398', '1049309382', None, None, None, None, None, None), ('3789', '4599398', '1049309381', None, None, None, None, None, None), ('3789', '4599398', '1049309380', None, None, None, None, None, None), ('3789', '4599398', '1049309379', None, None, None, None, None, None), ('3789', '4599398', '1049309345', None, None, None, None, None, None), ('3789', '4599398', '1049308384', None, None, None, None, None, None), ('3789', '4599398', '1049308381', None, None, None, None, None, None), ('3789', '4599398', '1049308376', None, None, None, None, None, None), ('3789', '4599398', '1049308280', None, None, None, None, None, None), ('3789', '4599398', '1049308276', None, None, None, None, None, None), ('3789', '4599398', '1049308275', None, None, None, None, None, None), ('3789', '4599398', '1049308235', None, None, None, None, None, None), ('3789', '4599398', '1049307693', None, None, None, None, None, None), ('3789', '4599398', '1049306823', None, None, None, None, None, None), ('3789', '4599398', '1049306804', None, None, None, None, None, None), ('3789', '4599398', '1049306792', None, None, None, None, None, None), ('3789', '4599398', '1049306791', None, None, None, None, None, None), ('3789', '4599398', '1049306635', None, None, None, None, None, None), ('3789', '4599398', '1049306205', None, None, None, None, None, None), ('3789', '4599398', '1049304810', None, None, None, None, None, None), ('3789', '4599398', '1049303925', None, None, None, None, None, None), ('3789', '4599398', '1049296996', None, None, None, None, None, None), ('3789', '4599398', '1049296121', None, None, None, None, None, None), ('3789', '4599398', '1049294990', None, None, None, None, None, None), ('3789', '4599398', '1049293230', None, None, None, None, None, None)]
time used for this insertion : 0.12602496147155762
 save_final 

save missing photos in datou_result :
After save, about to update current !
Result test rubbia : {'4599398': ([[0, 7, 8, 9, 11, 12, 13, 14, 17, 18], [19, 20, 22, 23, 25, 26, 27, 38, 39, 40, 51, 52, 53, 55, 60, 61, 62, 63, 71, 76, 77, 81, 82, 83, 84], [85, 86, 91, 92], [93], [97, 98, 99, 100, 101], [102], [103, 104], [107, 108, 109, 110, 112, 113, 116, 117, 118, 121, 122, 123], [124, 126, 128, 129, 130, 131, 134, 135], [136, 137, 138, 147, 148, 149, 150, 151, 152, 153, 154, 157, 158, 161, 162, 167, 168], [173, 176, 177, 178, 182, 183, 187, 188], [189, 193], [198, 201, 202, 207, 208, 209, 210, 211, 212, 213, 214, 215], [216, 217, 218, 220], [221, 224, 225, 226, 227, 231]], {'rungis_aluminium': [(10, 11)], 'rungis_carton': [], 'rungis_papier': [(0, 1), (2, 3), (4, 5), (6, 7), (8, 9), (13, 14)], 'rungis_plastique_clair': [], 'rungis_plastique_dur': [], 'rungis_plastique_fonce': [(1, 2), (3, 4), (5, 6), (7, 8), (9, 10), (12, 13), (14, 15)], 'rungis_tapis_vide': [], 'rungis_tetrapak': [(11, 12)]}, {13545772: {'list_of_photos': [1049293230, 1049306791, 1049294990, 1049306792, 1049306823, 1049307693, 1049308235, 1049308275, 1049308376, 1049308381], 'hashtag': 'papier'}, 13545774: {'list_of_photos': [1049308384, 1049309345, 1049309380, 1049309381, 1049309383, 1049309385, 1049309592, 1049309658, 1049309670, 1049309672, 1049310132, 1049310134, 1049310138, 1049310141, 1049310905, 1049310907, 1049310909, 1049310911, 1049310994, 1049311199, 1049311252, 1049311767, 1049311771, 1049311791, 1049311793], 'hashtag': 'plastique_fonce'}, 13545777: {'list_of_photos': [1049311795, 1049311932, 1049311943, 1049311960], 'hashtag': 'papier'}, 5570414: {'list_of_photos': [1049311961], 'hashtag': 'plastique_fonce'}, 13545779: {'list_of_photos': [1049312208, 1049312363, 1049312404, 1049312406, 1049312409], 'hashtag': 'papier'}, 13545780: {'list_of_photos': [1049312420], 'hashtag': 'plastique_fonce'}, 13545783: {'list_of_photos': [1049312422, 1049312424], 'hashtag': 'papier'}, 13545785: {'list_of_photos': [1049312438, 1049312440, 1049312442, 1049312444, 1049312449, 1049312460, 1049312463, 1049312464, 1049312484, 1049312488, 1049312489, 1049312508], 'hashtag': 'plastique_fonce'}, 13545787: {'list_of_photos': [1049312556, 1049312566, 1049312571, 1049312573, 1049312574, 1049312579, 1049312588, 1049312803], 'hashtag': 'papier'}, 13545788: {'list_of_photos': [1049312984, 1049313025, 1049316209, 1049316332, 1049316336, 1049316338, 1049316520, 1049316534, 1049316537, 1049316540, 1049316543, 1049316588, 1049316594, 1049316610, 1049316749, 1049316790, 1049317197], 'hashtag': 'plastique_fonce'}, 13543473: {'list_of_photos': [1049317359, 1049317453, 1049317457, 1049317461, 1049317489, 1049317491, 1049317520, 1049317522], 'hashtag': 'aluminium'}, 13543474: {'list_of_photos': [1049317524, 1049317542], 'hashtag': 'tetrapak'}, 13543475: {'list_of_photos': [1049318212, 1049318216, 1049318219, 1049318253, 1049318257, 1049318260, 1049318265, 1049318268, 1049318271, 1049318273, 1049318276, 1049318279], 'hashtag': 'plastique_fonce'}, 13543476: {'list_of_photos': [1049318287, 1049318288, 1049318289, 1049318293], 'hashtag': 'papier'}, 13543477: {'list_of_photos': [1049318294, 1049318311, 1049318337, 1049318339, 1049318342, 1049318362], 'hashtag': 'plastique_fonce'}}, {2107751280: 8, 2107750907: 0, 2107750908: 33, 2107750909: 0, 2107750910: 0, 2107750911: 74, 2107750912: 0, 2107750913: 2}, {'amount_uploaded_and_tagged': {'07092021': {'nb_upload': 232, 'nb_taggue_class': 232, 'nb_taggue_densite': 232, 'nb_descriptors': 232, 'number_port': 15, 'count_photo_in_port': 117, 'nb_port_per_class': {'rungis_aluminium': {'nb_photos': 8, 'nb_portfolios': 1}, 'rungis_carton': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_papier': {'nb_photos': 33, 'nb_portfolios': 6}, 'rungis_plastique_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_plastique_dur': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_plastique_fonce': {'nb_photos': 74, 'nb_portfolios': 7}, 'rungis_tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_tetrapak': {'nb_photos': 2, 'nb_portfolios': 1}}}}, 'map_all_result_after_group_moy_exp': {'number_port': 15, 'count_photo_in_port': 117, 'nb_port_per_class': {'rungis_aluminium': {'nb_photos': 8, 'nb_portfolios': 1}, 'rungis_carton': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_papier': {'nb_photos': 33, 'nb_portfolios': 6}, 'rungis_plastique_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_plastique_dur': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_plastique_fonce': {'nb_photos': 74, 'nb_portfolios': 7}, 'rungis_tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}, 'rungis_tetrapak': {'nb_photos': 2, 'nb_portfolios': 1}}}, 'map_info_after_moyenne_mobile': {'07092021': {'distrib_time_diff': {'nb': 207, 'mean': 12.512076641626404, 'stddev': 12.296218880583977, 'min': 0.0, 'max': 119.00011491775513, 'quantil_10': {'min': [8.999778032302856], 'max': [11.000291109085083]}, 'quantil_100': {'min': [8.999709129333496], 'max': [61.00024700164795]}, 'quantil_1000': {'min': [0.0], 'max': [119.00011491775513]}, 'quantil_5000': {'min': [0.0], 'max': [119.00011491775513]}, 'quantil_10000': {'min': [0.0], 'max': [119.00011491775513]}}, 'time_diff': {'rungis_aluminium': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 80.99965000152588, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_carton': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 49.000049114227295, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_papier': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 11.000201940536499, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 534.9997780323029, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_clair': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_dur': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 31.000057697296143, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_fonce': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 564.0013737678528, '05102018_papier_non_papier_tres_peu_dense': 19.999656200408936}, 'rungis_tapis_vide': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_tetrapak': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 8.999944925308228, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 89.99986672401428, '05102018_papier_non_papier_tres_peu_dense': 9.999994993209839}}, 'time_diff_removed': {'rungis_aluminium': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 11.000208854675293, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 158.99993062019348, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_carton': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 101.00013995170593, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_papier': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 18.999826192855835, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 168.99926328659058, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_clair': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_dur': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_fonce': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 21.00012707710266, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 489.9993727207184, '05102018_papier_non_papier_tres_peu_dense': 11.000169038772583}, 'rungis_tapis_vide': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_tetrapak': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 38.99988508224487, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 170.0003685951233, '05102018_papier_non_papier_tres_peu_dense': 0}}, 'nb_photos': {'rungis_aluminium': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 8, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_carton': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 6, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_papier': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 1, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 28, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_clair': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_dur': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 2, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_fonce': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 40, '05102018_papier_non_papier_tres_peu_dense': 2}, 'rungis_tapis_vide': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_tetrapak': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 1, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 9, '05102018_papier_non_papier_tres_peu_dense': 1}}, 'nb_photos_removed': {'rungis_aluminium': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 1, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 16, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_carton': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 5, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_papier': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 2, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 16, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_clair': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_dur': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_plastique_fonce': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 1, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 46, '05102018_papier_non_papier_tres_peu_dense': 1}, 'rungis_tapis_vide': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 0, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 0, '05102018_papier_non_papier_tres_peu_dense': 0}, 'rungis_tetrapak': {'05102018_papier_non_papier_dense': 0, '05102018_papier_non_papier_peu_dense': 4, '05102018_papier_non_papier_presque_vide': 0, '05102018_papier_non_papier_tres_dense': 17, '05102018_papier_non_papier_tres_peu_dense': 0}}}}, 'map_amount_per_hashtag': {'rungis_aluminium': [(10, 11)], 'rungis_carton': [], 'rungis_papier': [(0, 1), (2, 3), (4, 5), (6, 7), (8, 9), (13, 14)], 'rungis_plastique_clair': [], 'rungis_plastique_dur': [], 'rungis_plastique_fonce': [(1, 2), (3, 4), (5, 6), (7, 8), (9, 10), (12, 13), (14, 15)], 'rungis_tapis_vide': [], 'rungis_tetrapak': [(11, 12)]}, 'count': {'rungis_aluminium': [(10, 11)], 'rungis_carton': [], 'rungis_papier': [(0, 1), (2, 3), (4, 5), (6, 7), (8, 9), (13, 14)], 'rungis_plastique_clair': [], 'rungis_plastique_dur': [], 'rungis_plastique_fonce': [(1, 2), (3, 4), (5, 6), (7, 8), (9, 10), (12, 13), (14, 15)], 'rungis_tapis_vide': [], 'rungis_tetrapak': [(11, 12)]}})}|
Result context_with_local_rubbia.cache_model_config.map_io test rubbia : {'input': {}, 'output': {}}|

############################### TEST rubbia_split_dark  ################################
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3787

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3787
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3787
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3787
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : split_time_score_with_photo
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4608689) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4608689)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1055013727, 'portfolio_id': 4608689}, {'photo_id': 1055013724, 'portfolio_id': 4608689}, {'photo_id': 1055013693, 'portfolio_id': 4608689}, {'photo_id': 1055012727, 'portfolio_id': 4608689}, {'photo_id': 1055012722, 'portfolio_id': 4608689}, {'photo_id': 1055012686, 'portfolio_id': 4608689}, {'photo_id': 1055012684, 'portfolio_id': 4608689}, {'photo_id': 1055011740, 'portfolio_id': 4608689}, {'photo_id': 1055011733, 'portfolio_id': 4608689}, {'photo_id': 1055011726, 'portfolio_id': 4608689}, {'photo_id': 1055011459, 'portfolio_id': 4608689}, {'photo_id': 1055011454, 'portfolio_id': 4608689}, {'photo_id': 1055011441, 'portfolio_id': 4608689}, {'photo_id': 1055011086, 'portfolio_id': 4608689}, {'photo_id': 1055011076, 'portfolio_id': 4608689}, {'photo_id': 1055011074, 'portfolio_id': 4608689}, {'photo_id': 1055011072, 'portfolio_id': 4608689}, {'photo_id': 1055010743, 'portfolio_id': 4608689}, {'photo_id': 1055010739, 'portfolio_id': 4608689}, {'photo_id': 1055010737, 'portfolio_id': 4608689}, {'photo_id': 1055010730, 'portfolio_id': 4608689}, {'photo_id': 1055010725, 'portfolio_id': 4608689}, {'photo_id': 1055010723, 'portfolio_id': 4608689}, {'photo_id': 1055010143, 'portfolio_id': 4608689}, {'photo_id': 1055008638, 'portfolio_id': 4608689}, {'photo_id': 1055008599, 'portfolio_id': 4608689}, {'photo_id': 1055008597, 'portfolio_id': 4608689}, {'photo_id': 1055008184, 'portfolio_id': 4608689}, {'photo_id': 1055008181, 'portfolio_id': 4608689}, {'photo_id': 1055007992, 'portfolio_id': 4608689}, {'photo_id': 1055007953, 'portfolio_id': 4608689}, {'photo_id': 1055007950, 'portfolio_id': 4608689}, {'photo_id': 1055004798, 'portfolio_id': 4608689}, {'photo_id': 1055004627, 'portfolio_id': 4608689}, {'photo_id': 1055004608, 'portfolio_id': 4608689}, {'photo_id': 1055004600, 'portfolio_id': 4608689}, {'photo_id': 1055004278, 'portfolio_id': 4608689}, {'photo_id': 1055004217, 'portfolio_id': 4608689}, {'photo_id': 1055003679, 'portfolio_id': 4608689}, {'photo_id': 1055003357, 'portfolio_id': 4608689}, {'photo_id': 1055003348, 'portfolio_id': 4608689}, {'photo_id': 1055003292, 'portfolio_id': 4608689}, {'photo_id': 1055003278, 'portfolio_id': 4608689}, {'photo_id': 1055003266, 'portfolio_id': 4608689}, {'photo_id': 1055003261, 'portfolio_id': 4608689}, {'photo_id': 1055003259, 'portfolio_id': 4608689}, {'photo_id': 1055003249, 'portfolio_id': 4608689}, {'photo_id': 1055003202, 'portfolio_id': 4608689}, {'photo_id': 1055003198, 'portfolio_id': 4608689}, {'photo_id': 1055003197, 'portfolio_id': 4608689}, {'photo_id': 1055003185, 'portfolio_id': 4608689}, {'photo_id': 1055003134, 'portfolio_id': 4608689}, {'photo_id': 1055003131, 'portfolio_id': 4608689}, {'photo_id': 1055002045, 'portfolio_id': 4608689}, {'photo_id': 1055001545, 'portfolio_id': 4608689}, {'photo_id': 1055001542, 'portfolio_id': 4608689}, {'photo_id': 1055001092, 'portfolio_id': 4608689}, {'photo_id': 1055001085, 'portfolio_id': 4608689}, {'photo_id': 1055000228, 'portfolio_id': 4608689}, {'photo_id': 1055000070, 'portfolio_id': 4608689}, {'photo_id': 1055000068, 'portfolio_id': 4608689}, {'photo_id': 1055000063, 'portfolio_id': 4608689}, {'photo_id': 1055000059, 'portfolio_id': 4608689}, {'photo_id': 1055000055, 'portfolio_id': 4608689}]
 map_portfolio_id_photo_id: {4608689: [1055013727, 1055013724, 1055013693, 1055012727, 1055012722, 1055012686, 1055012684, 1055011740, 1055011733, 1055011726, 1055011459, 1055011454, 1055011441, 1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679, 1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055003131, 1055002045, 1055001545, 1055001542, 1055001092, 1055001085, 1055000228, 1055000070, 1055000068, 1055000063, 1055000059, 1055000055]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1055013727
begin to download photo : 1055011086
begin to download photo : 1055008597
begin to download photo : 1055003357
begin to download photo : 1055003131
download finish for photo 1055011086
begin to download photo : 1055011076
download finish for photo 1055013727
begin to download photo : 1055013724
download finish for photo 1055003131
begin to download photo : 1055002045
download finish for photo 1055003357
begin to download photo : 1055003348
download finish for photo 1055008597
begin to download photo : 1055008184
download finish for photo 1055011076
begin to download photo : 1055011074
download finish for photo 1055003348
begin to download photo : 1055003292
download finish for photo 1055002045
begin to download photo : 1055001545
download finish for photo 1055013724
begin to download photo : 1055013693
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we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 64 ; length of list_pids : 64 ; length of list_args : 64
##### After load_data_input 
time to download the photos : 8.155725479125977
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
we use local cache db, so we are in local job, but when commit will be implemented for local cache db, we could again use save
number of steps :  1
step1:split_time_score_with_photo
Wed Feb 26 16:41:32 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584484_3116993_1055003357_724bbfa472d57dcea0975679f4a393ff.jpg': 1055003357, 'temp/1740584484_3116993_1055003348_588ecea5e15961fe1292f72d4cf33b3c.jpg': 1055003348, 'temp/1740584484_3116993_1055003292_4ad5363c1776217234fa6acc8a9fbd85.jpg': 1055003292, 'temp/1740584484_3116993_1055003278_1e53f6abe2076619fbf0cb6255fca71b.jpg': 1055003278, 'temp/1740584484_3116993_1055003266_eae639e1ccc20bd1a6a2f69e66c41382.jpg': 1055003266, 'temp/1740584484_3116993_1055003261_fb67a67f6cc7a87b0af2a03906a24b7d.jpg': 1055003261, 'temp/1740584484_3116993_1055003259_cc27886462be43921344678712ff777f.jpg': 1055003259, 'temp/1740584484_3116993_1055003249_a3800e1944260107f11d988a743bd54f.jpg': 1055003249, 'temp/1740584484_3116993_1055003202_39321c32c32d09c1ffaa48a867a690fe.jpg': 1055003202, 'temp/1740584484_3116993_1055003198_3f7cf97aea8a045db187250a09903f94.jpg': 1055003198, 'temp/1740584484_3116993_1055003197_8735b1a92ec92b085fcf6d4191102ae4.jpg': 1055003197, 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map_photo_id_path_extension : {1055003357: {'path': 'temp/1740584484_3116993_1055003357_724bbfa472d57dcea0975679f4a393ff.jpg', 'extension': 'jpg'}, 1055003348: {'path': 'temp/1740584484_3116993_1055003348_588ecea5e15961fe1292f72d4cf33b3c.jpg', 'extension': 'jpg'}, 1055003292: {'path': 'temp/1740584484_3116993_1055003292_4ad5363c1776217234fa6acc8a9fbd85.jpg', 'extension': 'jpg'}, 1055003278: {'path': 'temp/1740584484_3116993_1055003278_1e53f6abe2076619fbf0cb6255fca71b.jpg', 'extension': 'jpg'}, 1055003266: {'path': 'temp/1740584484_3116993_1055003266_eae639e1ccc20bd1a6a2f69e66c41382.jpg', 'extension': 'jpg'}, 1055003261: {'path': 'temp/1740584484_3116993_1055003261_fb67a67f6cc7a87b0af2a03906a24b7d.jpg', 'extension': 'jpg'}, 1055003259: {'path': 'temp/1740584484_3116993_1055003259_cc27886462be43921344678712ff777f.jpg', 'extension': 'jpg'}, 1055003249: {'path': 'temp/1740584484_3116993_1055003249_a3800e1944260107f11d988a743bd54f.jpg', 'extension': 'jpg'}, 1055003202: {'path': 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map_subphoto_mainphoto : {}
----- Debut du copier-coller des param necessaire pour fonction main de STS -----
SELECT app_name, token FROM MTRUser.mtr_app_api_token WHERE mtr_user_id=739 AND app_name="token_split_time_score" AND expire_at > NOW() 
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}]
thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 4608689 group by h
(('18', 4), ('19', 5), ('20', 5), ('24', 8), ('26', 6), ('17', 1), ('27', 9), ('51', 7), ('28', 2), ('21', 4), ('52', 2), ('25', 6), ('50', 3), ('22', 2))

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4608689  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4608689)  AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4608689)  AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {}
06102021 4608689 Nombre de photos uploadées : 64 / 23040 (0%)
06102021 4608689 Nombre de photos taguées (types de déchets): 0 / 64 (0%)
06102021 4608689 Nombre de photos taguées (volume) : 0 / 64 (0%)
[{'photo_id': 1055000228, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/7/6046bacdc732ec23020791db686fd31b.jpg', 'username': None, 'uploaded_at': 1633601256, 'text': 'IMG_20211006_101733.jpg', 'path': 'temp/1740584484_3116993_1055000228_6046bacdc732ec23020791db686fd31b.jpg', 'black': False}, {'photo_id': 1055007950, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/7/3aea8b8cb1f8c6e4b87714e0d17e12c5.jpg', 'username': None, 'uploaded_at': 1633603536, 'text': 'IMG_20211006_101843.jpg', 'path': 'temp/1740584484_3116993_1055007950_3aea8b8cb1f8c6e4b87714e0d17e12c5.jpg', 'black': False}, {'photo_id': 1055003348, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/7/588ecea5e15961fe1292f72d4cf33b3c.jpg', 'username': None, 'uploaded_at': 1633602087, 'text': 'IMG_20211006_101853.jpg', 'path': 'temp/1740584484_3116993_1055003348_588ecea5e15961fe1292f72d4cf33b3c.jpg', 'black': False}, {'photo_id': 1055000055, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/7/c9e450bd4b6e2cb9cfa8e540e915987c.jpg', 'username': None, 'uploaded_at': 1633601187, 'text': 'IMG_20211006_101804.jpg', 'path': 'temp/1740584484_3116993_1055000055_c9e450bd4b6e2cb9cfa8e540e915987c.jpg', 'black': False}]
0
[]
 elapsed_time : load_data_split_time_score 1.430511474609375e-05
 elapsed_time : order_list_meta_photo_and_scores 1.6689300537109375e-05
???????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0031244754791259766

        INSERT INTO `MTRPhoto`.`dashboard_entry_day`
(`dashboard_place_id`,
`mtr_portfolio_id`,
`date`)
VALUES
(
41, 4608689, '2021-10-06'
) ON DUPLICATE KEY UPDATE mtr_portfolio_id=VALUES(mtr_portfolio_id), updated_at=NOW();


        INSERT INTO `MTRPhoto`.`dashboard_run_ids`
(`dashboard_entry_day`,
`mtr_user_id`,
`misc_info`)
VALUES
(106232,739,"{}");

 elapsed_time : insert_dashboard_record_day_entry 0.021822690963745117
***** BEGIN SPLIT BY DARK *****
To DO 08/10/21
Let s Iterate on Ds Object and set black attribute == >


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 1
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1055001085, 492584841, 4330)
...
 last line : (1055001085, 492584841, 4330)
time used for this insertion : 0.008682727813720703


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 2
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1055001085, 492584841, 4330)
...
 last line : (1055008638, 492584841, 4330)
time used for this insertion : 0.007991790771484375


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 3
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1055001085, 492584841, 4330)
...
 last line : (1055010730, 492584841, 4330)
time used for this insertion : 0.007904529571533203


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 4
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1055001085, 492584841, 4330)
...
 last line : (1055011086, 492584841, 4330)
time used for this insertion : 0.007864952087402344


begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 5
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1055001085, 492584841, 4330)
...
 last line : (1055012686, 492584841, 4330)
time used for this insertion : 0.009285688400268555
 elapsed_time : SPLIT_BY_DARK 0.0485384464263916
***** END SPLIT BY DARK *****
((1055001085,), (1055008638,), (1055010730,), (1055011086,), (1055012686,))
***** BEGIN SPLIT TIME *****
False
[12, 20, 29, 38, 51]
1633478400.0
`1633508253.0 1633507200.0
`1633508284.0 1633507200.0
`1633508316.0 1633507200.0
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`1633508669.0 1633507200.0
`1633508678.0 1633507200.0
`1633508684.0 1633507200.0
`1633508690.0 1633507200.0
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`1633524639.0 1633521600.0
`1633524648.0 1633521600.0
`1633524657.0 1633521600.0
`1633524662.0 1633521600.0
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`1633524683.0 1633521600.0
`1633524694.0 1633521600.0
`1633524700.0 1633521600.0
`1633524718.0 1633521600.0
`1633524722.0 1633521600.0
`1633524741.0 1633521600.0
list printed:  [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [13, 14, 15, 16, 17, 18, 19], [21, 22, 23, 24, 25, 26, 27, 28], [30, 31, 32, 33, 34, 35, 36, 37], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [], [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]]
forced_hashtag:  jrm
force hashtag to jrm
 elapsed_time : SPLIT_TIME 0.006616115570068359
***** END SPLIT TIME *****
 NUMBER BATCH : 7
 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['refus', 'jrm']
Listed one port to create portfolio : jrm_diff_batch__06102021_10_17_33_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__06102021_10_17_33_000000 : 0 duration : 172.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2beecbd8e0>
None
result_one_balle_Type_jrm:{'day': '06102021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 172.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20211006_101733.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
Listed one port to create portfolio : jrm_diff_batch__06102021_10_20_49_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__06102021_10_20_49_000000 : 0 duration : 72.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2beecbd760>
None
result_one_balle_Type_jrm:{'day': '06102021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 72.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20211006_102049.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
Listed one port to create portfolio : jrm_diff_batch__06102021_10_24_04_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__06102021_10_24_04_000000 : 0 duration : 52.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2beecbd970>
None
result_one_balle_Type_jrm:{'day': '06102021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 52.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20211006_102404.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
Listed one port to create portfolio : jrm_diff_batch__06102021_10_25_25_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__06102021_10_25_25_000000 : 0 duration : 53.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2beecbd820>
None
result_one_balle_Type_jrm:{'day': '06102021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 53.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20211006_102525.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
Listed one port to create portfolio : jrm_diff_batch__06102021_10_26_45_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__06102021_10_26_45_000000 : 0 duration : 81.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2beecbd9d0>
None
result_one_balle_Type_jrm:{'day': '06102021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 81.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20211006_102645.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
Empty batch, bug or could have been filtered !
Listed one port to create portfolio : jrm_diff_batch__06102021_14_50_39_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__06102021_14_50_39_000000 : 0 duration : 102.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2beecbda30>
None
result_one_balle_Type_jrm:{'day': '06102021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 102.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20211006_145039.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
We have rejected 0 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 6
list_same_port_ids : [4938484]


 find same portfolio which already exist 4938484 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4938484 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4938484 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [4938485]


 find same portfolio which already exist 4938485 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4938485 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4938485 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [4938486]


 find same portfolio which already exist 4938486 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4938486 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4938486 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [4938487]


 find same portfolio which already exist 4938487 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4938487 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4938487 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [4938488]


 find same portfolio which already exist 4938488 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4938488 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4938488 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [4756245]


 find same portfolio which already exist 4756245 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4756245 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4756245 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4938484
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384725, 'mtr_portfolio_id': 4938484, 'created_at': datetime.datetime(2024, 11, 21, 0, 58, 17), 'result': '0.049377889059021136', 'result_long': None, 'result_double': None}]
Qualite : 0.049377889059021136
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4938484 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4938484 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633683, '_______jrm',
'2021-10-06 10:17:33', '2021-10-06 10:20:25',
12, 4938484,
0.049377889059021136, 2384725,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4938484_21-11-2024_00_58_17.pdf', 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 4938531, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 4938532, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 4938533, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 4938534, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 4938535, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 4938536, 'pht': 4038}, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 4938537, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 4938538, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 4938539, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 4938540, 'pht': 4038}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4938485
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384726, 'mtr_portfolio_id': 4938485, 'created_at': datetime.datetime(2024, 11, 21, 1, 5, 11), 'result': '0.051267724965616025', 'result_long': None, 'result_double': None}]
Qualite : 0.051267724965616025
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4938485 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4938485 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633683, '_______jrm',
'2021-10-06 10:20:49', '2021-10-06 10:22:01',
7, 4938485,
0.051267724965616025, 2384726,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4938485_21-11-2024_01_05_11.pdf', 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 4938520, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 4938521, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 4938522, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 4938523, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 4938524, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 4938525, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 4938526, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 4938527, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 4938528, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 4938529, 'pht': 4038}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4938486
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384727, 'mtr_portfolio_id': 4938486, 'created_at': datetime.datetime(2024, 11, 21, 1, 17, 15), 'result': '0.06573670331612967', 'result_long': None, 'result_double': None}]
Qualite : 0.06573670331612967
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4938486 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4938486 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633683, '_______jrm',
'2021-10-06 10:24:04', '2021-10-06 10:24:56',
8, 4938486,
0.06573670331612967, 2384727,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4938486_21-11-2024_01_17_15.pdf', 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 4938542, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 4938543, 'pht': 4038}, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 4938544, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 4938545, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 4938546, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 4938547, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 4938548, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 4938549, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 4938550, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 4938551, 'pht': 4038}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4938487
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384728, 'mtr_portfolio_id': 4938487, 'created_at': datetime.datetime(2024, 11, 21, 1, 27, 52), 'result': '0.12804353375222421', 'result_long': None, 'result_double': None}]
Qualite : 0.12804353375222421
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4938487 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4938487 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633683, '_______jrm',
'2021-10-06 10:25:25', '2021-10-06 10:26:18',
8, 4938487,
0.12804353375222421, 2384728,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4938487_21-11-2024_01_27_52.pdf', 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 4938552, 'pht': 4038}, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 4938553, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 4938554, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 4938555, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 4938556, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 4938557, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 4938558, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 4938559, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 4938560, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 4938561, 'pht': 4038}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4938488
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384729, 'mtr_portfolio_id': 4938488, 'created_at': datetime.datetime(2024, 11, 21, 1, 43, 45), 'result': '0.07355022343618775', 'result_long': None, 'result_double': None}]
Qualite : 0.07355022343618775
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4938488 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4938488 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633683, '_______jrm',
'2021-10-06 10:26:45', '2021-10-06 10:28:06',
12, 4938488,
0.07355022343618775, 2384729,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4938488_21-11-2024_01_43_46.pdf', 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 4938797, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 4938798, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 4938799, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 4938800, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 4938801, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 4938802, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 4938803, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 4938804, 'pht': 4038}, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 4938805, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 4938806, 'pht': 4038}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4756245
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384730, 'mtr_portfolio_id': 4756245, 'created_at': datetime.datetime(2024, 11, 21, 1, 56, 10), 'result': '0.10644996740301908', 'result_long': None, 'result_double': None}]
Qualite : 0.10644996740301908
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4756245 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4756245 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633683, '_______jrm',
'2021-10-06 14:50:39', '2021-10-06 14:52:21',
12, 4756245,
0.10644996740301908, 2384730,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4756245_21-11-2024_01_56_10.pdf', 'kraft': {'hashtag': 'kraft', 'sub_port_id': 4756351, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 4756352, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 4756353, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 4756354, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 4756355, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 4756356, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 4756357, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 4756358, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 4756359, 'pht': 4038}, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 4756360, 'pht': 4038}}"
);
 elapsed_time : count_nb_balles_and_create_portfolio 1.225156545639038
# DISPLAY ALL COLLECTED DATA : 
{'06102021': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}
------ Fin du Copier-Coller ------
---------- ONE RESULT ---------
([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [13, 14, 15, 16, 17, 18, 19], [21, 22, 23, 24, 25, 26, 27, 28], [30, 31, 32, 33, 34, 35, 36, 37], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [], [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]], {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, {4938484: {'list_of_photos': [1055000228, 1055000055, 1055003357, 1055007950, 1055003348, 1055007953, 1055000059, 1055007992, 1055008181, 1055003197, 1055003198, 1055008184], 'hashtag': 'jrm'}, 4938485: {'list_of_photos': [1055000063, 1055004600, 1055008597, 1055003134, 1055008599, 1055003679, 1055004627], 'hashtag': 'jrm'}, 4938486: {'list_of_photos': [1055004217, 1055010143, 1055004278, 1055010723, 1055003131, 1055003202, 1055010725, 1055000068], 'hashtag': 'jrm'}, 4938487: {'list_of_photos': [1055010737, 1055010739, 1055003278, 1055010743, 1055011072, 1055011074, 1055011076, 1055000070], 'hashtag': 'jrm'}, 4938488: {'list_of_photos': [1055011441, 1055011454, 1055003185, 1055011459, 1055001092, 1055001542, 1055003292, 1055011726, 1055011733, 1055011740, 1055012684, 1055002045], 'hashtag': 'jrm'}, 4756245: {'list_of_photos': [1055012722, 1055004798, 1055004608, 1055012727, 1055013693, 1055013724, 1055003249, 1055001545, 1055003259, 1055013727, 1055003266, 1055003261], 'hashtag': 'jrm'}}, {2107757407: 59}, {'amount_uploaded_and_tagged': {'06102021': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}, 'map_amount_per_hashtag': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, 'count': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}})
---------- END de ONE RESULT ----------
Suppression des photos Telecharges

After datou_step_exec type output : <class 'tuple'>

time spend for datou_step_exec : 7.126485347747803
time spend to save output : 0.00012063980102539062
total time spend for step 1 : 7.126605987548828

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : split_time_score_with_photo we use saveGeneral 
[1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055013727, 1055013724, 1055013693, 1055012727, 1055012722, 1055012686, 1055012684, 1055011740, 1055011733, 1055011726, 1055011459, 1055011454, 1055011441, 1055003131, 1055002045, 1055001545, 1055001542, 1055001092, 1055001085, 1055000228, 1055000070, 1055000068, 1055000063, 1055000059, 1055000055, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679, 1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599]
 map_info['map_portfolio_photo'] : {4608689: [1055013727, 1055013724, 1055013693, 1055012727, 1055012722, 1055012686, 1055012684, 1055011740, 1055011733, 1055011726, 1055011459, 1055011454, 1055011441, 1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679, 1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055003131, 1055002045, 1055001545, 1055001542, 1055001092, 1055001085, 1055000228, 1055000070, 1055000068, 1055000063, 1055000059, 1055000055]}
 final :  True mtd_id 3787 list_pids : [1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055013727, 1055013724, 1055013693, 1055012727, 1055012722, 1055012686, 1055012684, 1055011740, 1055011733, 1055011726, 1055011459, 1055011454, 1055011441, 1055003131, 1055002045, 1055001545, 1055001542, 1055001092, 1055001085, 1055000228, 1055000070, 1055000068, 1055000063, 1055000059, 1055000055, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679, 1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599]
Looping around the photos to save general results
len do output : 5
/[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [13, 14, 15, 16, 17, 18, 19], [21, 22, 23, 24, 25, 26, 27, 28], [30, 31, 32, 33, 34, 35, 36, 37], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [], [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]]
/{'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}
/{4938484: {'list_of_photos': [1055000228, 1055000055, 1055003357, 1055007950, 1055003348, 1055007953, 1055000059, 1055007992, 1055008181, 1055003197, 1055003198, 1055008184], 'hashtag': 'jrm'}, 4938485: {'list_of_photos': [1055000063, 1055004600, 1055008597, 1055003134, 1055008599, 1055003679, 1055004627], 'hashtag': 'jrm'}, 4938486: {'list_of_photos': [1055004217, 1055010143, 1055004278, 1055010723, 1055003131, 1055003202, 1055010725, 1055000068], 'hashtag': 'jrm'}, 4938487: {'list_of_photos': [1055010737, 1055010739, 1055003278, 1055010743, 1055011072, 1055011074, 1055011076, 1055000070], 'hashtag': 'jrm'}, 4938488: {'list_of_photos': [1055011441, 1055011454, 1055003185, 1055011459, 1055001092, 1055001542, 1055003292, 1055011726, 1055011733, 1055011740, 1055012684, 1055002045], 'hashtag': 'jrm'}, 4756245: {'list_of_photos': [1055012722, 1055004798, 1055004608, 1055012727, 1055013693, 1055013724, 1055003249, 1055001545, 1055003259, 1055013727, 1055003266, 1055003261], 'hashtag': 'jrm'}}
/{2107757407: 59}
/{'amount_uploaded_and_tagged': {'06102021': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}, 'map_amount_per_hashtag': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, 'count': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}}
before output type
Managing all output in save final without adding information in the mtr_datou_result 
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003357', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003348', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003292', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003278', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003266', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003261', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003259', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003249', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003202', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003198', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003197', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003185', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003134', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055013727', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055013724', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055013693', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055012727', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055012722', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055012686', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055012684', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011740', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011733', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011726', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011459', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011454', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011441', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003131', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055002045', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055001545', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055001542', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055001092', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055001085', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055000228', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055000070', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055000068', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055000063', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055000059', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055000055', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055008597', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055008184', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055008181', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055007992', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055007953', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055007950', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055004798', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055004627', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055004608', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055004600', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055004278', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055004217', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055003679', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011086', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011076', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011074', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055011072', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010743', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010739', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010737', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010730', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010725', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010723', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055010143', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055008638', None, None, None, None, None, None)
('3787', None, None, None, None, None, None, None, None)
('3787', '4608689', '1055008599', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 64
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3787', '4608689', '1055003357', None, None, None, None, None, None), ('3787', '4608689', '1055003348', None, None, None, None, None, None), ('3787', '4608689', '1055003292', None, None, None, None, None, None), ('3787', '4608689', '1055003278', None, None, None, None, None, None), ('3787', '4608689', '1055003266', None, None, None, None, None, None), ('3787', '4608689', '1055003261', None, None, None, None, None, None), ('3787', '4608689', '1055003259', None, None, None, None, None, None), ('3787', '4608689', '1055003249', None, None, None, None, None, None), ('3787', '4608689', '1055003202', None, None, None, None, None, None), ('3787', '4608689', '1055003198', None, None, None, None, None, None), ('3787', '4608689', '1055003197', None, None, None, None, None, None), ('3787', '4608689', '1055003185', None, None, None, None, None, None), ('3787', '4608689', '1055003134', None, None, None, None, None, None), ('3787', '4608689', '1055013727', None, None, None, None, None, None), ('3787', '4608689', '1055013724', None, None, None, None, None, None), ('3787', '4608689', '1055013693', None, None, None, None, None, None), ('3787', '4608689', '1055012727', None, None, None, None, None, None), ('3787', '4608689', '1055012722', None, None, None, None, None, None), ('3787', '4608689', '1055012686', None, None, None, None, None, None), ('3787', '4608689', '1055012684', None, None, None, None, None, None), ('3787', '4608689', '1055011740', None, None, None, None, None, None), ('3787', '4608689', '1055011733', None, None, None, None, None, None), ('3787', '4608689', '1055011726', None, None, None, None, None, None), ('3787', '4608689', '1055011459', None, None, None, None, None, None), ('3787', '4608689', '1055011454', None, None, None, None, None, None), ('3787', '4608689', '1055011441', None, None, None, None, None, None), ('3787', '4608689', '1055003131', None, None, None, None, None, None), ('3787', '4608689', '1055002045', None, None, None, None, None, None), ('3787', '4608689', '1055001545', None, None, None, None, None, None), ('3787', '4608689', '1055001542', None, None, None, None, None, None), ('3787', '4608689', '1055001092', None, None, None, None, None, None), ('3787', '4608689', '1055001085', None, None, None, None, None, None), ('3787', '4608689', '1055000228', None, None, None, None, None, None), ('3787', '4608689', '1055000070', None, None, None, None, None, None), ('3787', '4608689', '1055000068', None, None, None, None, None, None), ('3787', '4608689', '1055000063', None, None, None, None, None, None), ('3787', '4608689', '1055000059', None, None, None, None, None, None), ('3787', '4608689', '1055000055', None, None, None, None, None, None), ('3787', '4608689', '1055008597', None, None, None, None, None, None), ('3787', '4608689', '1055008184', None, None, None, None, None, None), ('3787', '4608689', '1055008181', None, None, None, None, None, None), ('3787', '4608689', '1055007992', None, None, None, None, None, None), ('3787', '4608689', '1055007953', None, None, None, None, None, None), ('3787', '4608689', '1055007950', None, None, None, None, None, None), ('3787', '4608689', '1055004798', None, None, None, None, None, None), ('3787', '4608689', '1055004627', None, None, None, None, None, None), ('3787', '4608689', '1055004608', None, None, None, None, None, None), ('3787', '4608689', '1055004600', None, None, None, None, None, None), ('3787', '4608689', '1055004278', None, None, None, None, None, None), ('3787', '4608689', '1055004217', None, None, None, None, None, None), ('3787', '4608689', '1055003679', None, None, None, None, None, None), ('3787', '4608689', '1055011086', None, None, None, None, None, None), ('3787', '4608689', '1055011076', None, None, None, None, None, None), ('3787', '4608689', '1055011074', None, None, None, None, None, None), ('3787', '4608689', '1055011072', None, None, None, None, None, None), ('3787', '4608689', '1055010743', None, None, None, None, None, None), ('3787', '4608689', '1055010739', None, None, None, None, None, None), ('3787', '4608689', '1055010737', None, None, None, None, None, None), ('3787', '4608689', '1055010730', None, None, None, None, None, None), ('3787', '4608689', '1055010725', None, None, None, None, None, None), ('3787', '4608689', '1055010723', None, None, None, None, None, None), ('3787', '4608689', '1055010143', None, None, None, None, None, None), ('3787', '4608689', '1055008638', None, None, None, None, None, None), ('3787', '4608689', '1055008599', None, None, None, None, None, None)]
time used for this insertion : 0.08744454383850098
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : ([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [13, 14, 15, 16, 17, 18, 19], [21, 22, 23, 24, 25, 26, 27, 28], [30, 31, 32, 33, 34, 35, 36, 37], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [], [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]], {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, {4938484: {'list_of_photos': [1055000228, 1055000055, 1055003357, 1055007950, 1055003348, 1055007953, 1055000059, 1055007992, 1055008181, 1055003197, 1055003198, 1055008184], 'hashtag': 'jrm'}, 4938485: {'list_of_photos': [1055000063, 1055004600, 1055008597, 1055003134, 1055008599, 1055003679, 1055004627], 'hashtag': 'jrm'}, 4938486: {'list_of_photos': [1055004217, 1055010143, 1055004278, 1055010723, 1055003131, 1055003202, 1055010725, 1055000068], 'hashtag': 'jrm'}, 4938487: {'list_of_photos': [1055010737, 1055010739, 1055003278, 1055010743, 1055011072, 1055011074, 1055011076, 1055000070], 'hashtag': 'jrm'}, 4938488: {'list_of_photos': [1055011441, 1055011454, 1055003185, 1055011459, 1055001092, 1055001542, 1055003292, 1055011726, 1055011733, 1055011740, 1055012684, 1055002045], 'hashtag': 'jrm'}, 4756245: {'list_of_photos': [1055012722, 1055004798, 1055004608, 1055012727, 1055013693, 1055013724, 1055003249, 1055001545, 1055003259, 1055013727, 1055003266, 1055003261], 'hashtag': 'jrm'}}, {2107757407: 59}, {'amount_uploaded_and_tagged': {'06102021': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}, 'map_amount_per_hashtag': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, 'count': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}})
Result test split dark : ([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [13, 14, 15, 16, 17, 18, 19], [21, 22, 23, 24, 25, 26, 27, 28], [30, 31, 32, 33, 34, 35, 36, 37], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [], [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]], {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, {4938484: {'list_of_photos': [1055000228, 1055000055, 1055003357, 1055007950, 1055003348, 1055007953, 1055000059, 1055007992, 1055008181, 1055003197, 1055003198, 1055008184], 'hashtag': 'jrm'}, 4938485: {'list_of_photos': [1055000063, 1055004600, 1055008597, 1055003134, 1055008599, 1055003679, 1055004627], 'hashtag': 'jrm'}, 4938486: {'list_of_photos': [1055004217, 1055010143, 1055004278, 1055010723, 1055003131, 1055003202, 1055010725, 1055000068], 'hashtag': 'jrm'}, 4938487: {'list_of_photos': [1055010737, 1055010739, 1055003278, 1055010743, 1055011072, 1055011074, 1055011076, 1055000070], 'hashtag': 'jrm'}, 4938488: {'list_of_photos': [1055011441, 1055011454, 1055003185, 1055011459, 1055001092, 1055001542, 1055003292, 1055011726, 1055011733, 1055011740, 1055012684, 1055002045], 'hashtag': 'jrm'}, 4756245: {'list_of_photos': [1055012722, 1055004798, 1055004608, 1055012727, 1055013693, 1055013724, 1055003249, 1055001545, 1055003259, 1055013727, 1055003266, 1055003261], 'hashtag': 'jrm'}}, {2107757407: 59}, {'amount_uploaded_and_tagged': {'06102021': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}, 'map_amount_per_hashtag': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, 'count': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}})|

############################### TEST rubbia_append  ################################
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3856

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3856
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3856
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3856
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : split_time_score
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4599006) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4505992) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4599006,4505992)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1054572537, 'portfolio_id': 4599006}, {'photo_id': 1054572534, 'portfolio_id': 4599006}, {'photo_id': 1054572532, 'portfolio_id': 4599006}, {'photo_id': 1051605195, 'portfolio_id': 4505992}]
 map_portfolio_id_photo_id: {4599006: [1054572537, 1054572534, 1054572532], 4505992: [1051605195]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.025099754333496094
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
we use local cache db, so we are in local job, but when commit will be implemented for local cache db, we could again use save
number of steps :  1
step1:split_time_score
Wed Feb 26 16:41:40 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
SELECT app_name, token FROM MTRUser.mtr_app_api_token WHERE mtr_user_id=739 AND app_name="token_split_time_score" AND expire_at > NOW() 
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}]
thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 4599006 group by h
(('30', 1), ('36', 1), ('43', 1))

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4599006  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4599006)  AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4599006)  AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {}
21092021 4599006 Nombre de photos uploadées : 3 / 23040 (0%)
21092021 4599006 Nombre de photos taguées (types de déchets): 0 / 3 (0%)
21092021 4599006 Nombre de photos taguées (volume) : 0 / 3 (0%)
[{'photo_id': 1054572532, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/5/4298b86687a1b085f5190a510e3d99e9.jpg', 'username': None, 'uploaded_at': 1633441829, 'text': 'IMG_20210921_163030.jpg'}, {'photo_id': 1054572534, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/5/c726e7bbaa3020412b11d5d8e4d3e9aa.jpg', 'username': None, 'uploaded_at': 1633441829, 'text': 'IMG_20210921_163648.jpg'}, {'photo_id': 1054572537, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/5/e7bb2e829c5bfe305d429b7dfb818d83.jpg', 'username': None, 'uploaded_at': 1633441829, 'text': 'IMG_20210921_164310.jpg'}]
0
[]
 elapsed_time : load_data_split_time_score 2.6226043701171875e-06
 elapsed_time : order_list_meta_photo_and_scores 8.58306884765625e-06
??? elapsed_time : fill_and_build_computed_from_old_data 0.0003402233123779297

        INSERT INTO `MTRPhoto`.`dashboard_entry_day`
(`dashboard_place_id`,
`mtr_portfolio_id`,
`date`)
VALUES
(
13, 4599006, '2021-09-21'
) ON DUPLICATE KEY UPDATE  updated_at=NOW();


        INSERT INTO `MTRPhoto`.`dashboard_run_ids`
(`dashboard_entry_day`,
`mtr_user_id`,
`misc_info`)
VALUES
(145759,739,"{}");

 elapsed_time : insert_dashboard_record_day_entry 1.6814312934875488
---------- APPEND TASK BEGIN ----------

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(152846, '_______Plastique_fonce',
'2021-09-21 16:30:30', '2021-09-21 16:43:10',
0, 4599006,
0, 0,
'0', "{}"
);
---------- APPEND TASK END ----------
We will return after consolidate but for now we need the day, how to get it, for now depending on the previous heavy steps 

        SELECT
        dri.dashboard_entry_day,
        dr.dashboard_run_id,
        dr.mtr_portfolio_id,
        dr.id,
        dr.hashtag,
        dr.completion_json
        FROM MTRPhoto.dashboard_results dr,
        MTRPhoto.dashboard_run_ids dri,
        MTRPhoto.dashboard_entry_day ded
        WHERE ded.id= 145759
        AND ded.last_run_id=dri.id
        AND dri.dashboard_entry_day=ded.id
        AND dri.id=dr.dashboard_run_id
        
[{'dashboat_entry_day': 145759, 'dashboard_run_id': 152846, 'mtr_portfolio_id': 4599006, 'dashboard_result_id': 9077586, 'hashtag': '_______Plastique_fonce', 'completion_json': '{}'}]
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4599006
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3759
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 4599006
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=3759
                    ORDER BY created_at desc LIMIT 1
 list_result_datou : []
select url from MTRUser.mtr_files where mtd_id = 3759 and mtr_portfolio_id = 4599006 order by file_id desc limit 1
select url from MTRUser.mtr_files where text like '%4599006%' order by file_id desc limit 1
find url: 
select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 4599006 order by id desc limit 1
update  MTRPhoto.dashboard_results set completion_json  = "{'url_report': ''}" 
                where mtr_portfolio_id = 4599006 and dashboard_run_id = 152846
SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos
WHERE mtr_portfolio_id IN (4599006)
 result : ((1054572532,), (1054572534,), (1054572537,))
 NUMBER BATCH : 0
# DISPLAY ALL COLLECTED DATA : 
{'21092021': {'nb_upload': 3, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}]
thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 4505992 group by h
(('12', 1), ('-0', 3))

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4505992  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4505992)  AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4505992)  AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {}
21092021 4505992 Nombre de photos uploadées : 1 / 23040 (0%)
21092021 4505992 Nombre de photos taguées (types de déchets): 0 / 1 (0%)
21092021 4505992 Nombre de photos taguées (volume) : 0 / 1 (0%)
[{'photo_id': 1051605195, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/21/4cd66aff3fb05d55424e3583f716f45c.jpg', 'username': None, 'uploaded_at': 1632215726, 'text': 'IMG_20210921_111217.jpg'}]
0
[]
 elapsed_time : load_data_split_time_score 4.0531158447265625e-06
 elapsed_time : order_list_meta_photo_and_scores 1.1205673217773438e-05
? elapsed_time : fill_and_build_computed_from_old_data 0.00024390220642089844

        INSERT INTO `MTRPhoto`.`dashboard_entry_day`
(`dashboard_place_id`,
`mtr_portfolio_id`,
`date`)
VALUES
(
13, 4505992, '2021-09-21'
) ON DUPLICATE KEY UPDATE  updated_at=NOW();


        INSERT INTO `MTRPhoto`.`dashboard_run_ids`
(`dashboard_entry_day`,
`mtr_user_id`,
`misc_info`)
VALUES
(145759,739,"{}");

 elapsed_time : insert_dashboard_record_day_entry 0.022677183151245117
---------- APPEND TASK BEGIN ----------

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(152846, '_______Plastique_fonce',
'2021-09-21 11:12:17', '2021-09-21 11:12:17',
0, 4505992,
0, 0,
'0', "{}"
);
---------- APPEND TASK END ----------
We will return after consolidate but for now we need the day, how to get it, for now depending on the previous heavy steps 

        SELECT
        dri.dashboard_entry_day,
        dr.dashboard_run_id,
        dr.mtr_portfolio_id,
        dr.id,
        dr.hashtag,
        dr.completion_json
        FROM MTRPhoto.dashboard_results dr,
        MTRPhoto.dashboard_run_ids dri,
        MTRPhoto.dashboard_entry_day ded
        WHERE ded.id= 145759
        AND ded.last_run_id=dri.id
        AND dri.dashboard_entry_day=ded.id
        AND dri.id=dr.dashboard_run_id
        
[{'dashboat_entry_day': 145759, 'dashboard_run_id': 152846, 'mtr_portfolio_id': 4599006, 'dashboard_result_id': 9077586, 'hashtag': '_______Plastique_fonce', 'completion_json': "{'url_report': ''}"}, {'dashboat_entry_day': 145759, 'dashboard_run_id': 152846, 'mtr_portfolio_id': 4505992, 'dashboard_result_id': 9077587, 'hashtag': '_______Plastique_fonce', 'completion_json': '{}'}]
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4599006
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3759
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 4599006
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=3759
                    ORDER BY created_at desc LIMIT 1
 list_result_datou : []
select url from MTRUser.mtr_files where mtd_id = 3759 and mtr_portfolio_id = 4599006 order by file_id desc limit 1
select url from MTRUser.mtr_files where text like '%4599006%' order by file_id desc limit 1
find url: 
select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 4599006 order by id desc limit 1
update  MTRPhoto.dashboard_results set completion_json  = "{'url_report': ''}" 
                where mtr_portfolio_id = 4599006 and dashboard_run_id = 152846
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4505992
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3759
                ORDER BY id desc LIMIT 1
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                    FROM MTRPhoto.mtr_datou_result
                    WHERE mtr_portfolio_id = 4505992
                    AND result is not null
                    and result<>"None"
                    and result=0.0
                    AND mtd_id=3759
                    ORDER BY created_at desc LIMIT 1
 list_result_datou : []
select url from MTRUser.mtr_files where mtd_id = 3759 and mtr_portfolio_id = 4505992 order by file_id desc limit 1
select url from MTRUser.mtr_files where text like '%4505992%' order by file_id desc limit 1
find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4505992_21-09-2021.pdf
select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 4505992 order by id desc limit 1
update  MTRPhoto.dashboard_results set completion_json  = "{'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4505992_21-09-2021.pdf'}" 
                where mtr_portfolio_id = 4505992 and dashboard_run_id = 152846
SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos
WHERE mtr_portfolio_id IN (4599006,4505992)
 result : ((1051605195,), (1051615607,), (1051615609,), (1051615610,), (1054572532,), (1054572534,), (1054572537,))
 NUMBER BATCH : 0
# DISPLAY ALL COLLECTED DATA : 
{'21092021': {'nb_upload': 1, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 4.245879411697388
time spend to save output : 9.512901306152344e-05
total time spend for step 1 : 4.245974540710449

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral 
[1054572537, 1054572534, 1054572532, 1051605195]
 map_info['map_portfolio_photo'] : {4599006: [1054572537, 1054572534, 1054572532], 4505992: [1051605195]}
 final :  True mtd_id 3856 list_pids : [1054572537, 1054572534, 1054572532, 1051605195]
Looping around the photos to save general results
len do output : 2
/4599006Didn't retrieve data
.
/4505992Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2c48168a30>
Managing all output in save final without adding information in the mtr_datou_result 
('3856', None, None, None, None, None, None, None, None)
('3856', '4599006', '1054572537', None, None, None, None, None, None)
('3856', None, None, None, None, None, None, None, None)
('3856', '4599006', '1054572534', None, None, None, None, None, None)
('3856', None, None, None, None, None, None, None, None)
('3856', '4599006', '1054572532', None, None, None, None, None, None)
('3856', None, None, None, None, None, None, None, None)
('3856', '4505992', '1051605195', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 6
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3856', None, '4599006', 'None', None, None, None, None, None), ('3856', None, '4505992', 'None', None, None, None, None, None), ('3856', '4599006', '1054572537', None, None, None, None, None, None), ('3856', '4599006', '1054572534', None, None, None, None, None, None), ('3856', '4599006', '1054572532', None, None, None, None, None, None), ('3856', '4505992', '1051605195', None, None, None, None, None, None)]
time used for this insertion : 0.01333308219909668
 save_final 

save missing photos in datou_result :
After save, about to update current !

        SELECT dashboard_run_id FROM MTRPhoto.dashboard_results where mtr_portfolio_id = 4599006
        

############################### TEST rubbia_horaire  ################################
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3181

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3181
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3181
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3181
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : split_time_score
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3609515) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3609515)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1014106095, 'portfolio_id': 3609515}, {'photo_id': 1014106094, 'portfolio_id': 3609515}, {'photo_id': 1014106093, 'portfolio_id': 3609515}, {'photo_id': 1014105800, 'portfolio_id': 3609515}, {'photo_id': 1014105799, 'portfolio_id': 3609515}, {'photo_id': 1014105798, 'portfolio_id': 3609515}, {'photo_id': 1014105797, 'portfolio_id': 3609515}, {'photo_id': 1014105796, 'portfolio_id': 3609515}, {'photo_id': 1014105795, 'portfolio_id': 3609515}, {'photo_id': 1014105791, 'portfolio_id': 3609515}, {'photo_id': 1014105790, 'portfolio_id': 3609515}, {'photo_id': 1014105786, 'portfolio_id': 3609515}, {'photo_id': 1014105785, 'portfolio_id': 3609515}, {'photo_id': 1014105784, 'portfolio_id': 3609515}, {'photo_id': 1014105783, 'portfolio_id': 3609515}, {'photo_id': 1014105782, 'portfolio_id': 3609515}, {'photo_id': 1014105781, 'portfolio_id': 3609515}, {'photo_id': 1014105778, 'portfolio_id': 3609515}, {'photo_id': 1014105777, 'portfolio_id': 3609515}, {'photo_id': 1014099035, 'portfolio_id': 3609515}, {'photo_id': 1014098602, 'portfolio_id': 3609515}, {'photo_id': 1014098236, 'portfolio_id': 3609515}, {'photo_id': 1014097924, 'portfolio_id': 3609515}, {'photo_id': 1014097580, 'portfolio_id': 3609515}, {'photo_id': 1014097499, 'portfolio_id': 3609515}, {'photo_id': 1014097497, 'portfolio_id': 3609515}, {'photo_id': 1014097492, 'portfolio_id': 3609515}, {'photo_id': 1014054235, 'portfolio_id': 3609515}, {'photo_id': 1014054234, 'portfolio_id': 3609515}, {'photo_id': 1014054233, 'portfolio_id': 3609515}, {'photo_id': 1014054232, 'portfolio_id': 3609515}, {'photo_id': 1014054231, 'portfolio_id': 3609515}, {'photo_id': 1014054230, 'portfolio_id': 3609515}]
 map_portfolio_id_photo_id: {3609515: [1014106095, 1014106094, 1014106093, 1014105800, 1014105799, 1014105798, 1014105797, 1014105796, 1014105795, 1014105791, 1014105790, 1014105786, 1014105785, 1014105784, 1014105783, 1014105782, 1014105781, 1014105778, 1014105777, 1014099035, 1014098602, 1014098236, 1014097924, 1014097580, 1014097499, 1014097497, 1014097492, 1014054235, 1014054234, 1014054233, 1014054232, 1014054231, 1014054230]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.01478433609008789
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
we use local cache db, so we are in local job, but when commit will be implemented for local cache db, we could again use save
number of steps :  1
step1:split_time_score
Wed Feb 26 16:41:44 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
SELECT app_name, token FROM MTRUser.mtr_app_api_token WHERE mtr_user_id=739 AND app_name="token_split_time_score" AND expire_at > NOW() 
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}]
thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 3609515 group by h
(('02', 6), ('05', 8), ('06', 19))

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=3609515  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (3609515)  AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (3609515)  AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {}
08032021 3609515 Nombre de photos uploadées : 33 / 23040 (0%)
08032021 3609515 Nombre de photos taguées (types de déchets): 0 / 33 (0%)
08032021 3609515 Nombre de photos taguées (volume) : 0 / 33 (0%)
[{'photo_id': 1014054233, 'url': 'https://s3-eu-west-1.amazonaws.com/photo.fotonower.com/2021/3/8/7b7625f3e3d6b1c188adbbc3cb328bdf.jpg', 'username': None, 'uploaded_at': 1615177397, 'text': 'image_08032021_02_08_09_034455m0.jpg 1e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'}, {'photo_id': 1014054232, 'url': 'https://s3-eu-west-1.amazonaws.com/photo.fotonower.com/2021/3/8/34274adf797a96624e0c26e2d60facd7.jpg', 'username': None, 'uploaded_at': 1615177397, 'text': 'image_08032021_02_08_13_039073m0.jpg 2e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'}, {'photo_id': 1014054231, 'url': 'https://s3-eu-west-1.amazonaws.com/photo.fotonower.com/2021/3/8/4e0df418bccd7a484aadeef86e02b28d.jpg', 'username': None, 'uploaded_at': 1615177397, 'text': 'image_08032021_02_08_17_045370m0.jpg 3.0000000000000004e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'}, {'photo_id': 1014054230, 'url': 'https://s3-eu-west-1.amazonaws.com/photo.fotonower.com/2021/3/8/4d30f9d1ccb7fa68b9b9678acfcef613.jpg', 'username': None, 'uploaded_at': 1615177397, 'text': 'image_08032021_02_08_21_051026m0.jpg 4e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'}]
0
[]
 elapsed_time : load_data_split_time_score 4.5299530029296875e-06
 elapsed_time : order_list_meta_photo_and_scores 1.5974044799804688e-05
????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0022351741790771484

        INSERT INTO `MTRPhoto`.`dashboard_entry_day`
(`dashboard_place_id`,
`mtr_portfolio_id`,
`date`)
VALUES
(
10, 3609515, '2021-03-08'
) ON DUPLICATE KEY UPDATE mtr_portfolio_id=VALUES(mtr_portfolio_id), updated_at=NOW();


        INSERT INTO `MTRPhoto`.`dashboard_run_ids`
(`dashboard_entry_day`,
`mtr_user_id`,
`misc_info`)
VALUES
(34064,739,"{}");

 elapsed_time : insert_dashboard_record_day_entry 0.023647785186767578

 Creating list_photo_total 

 in select_descriptors : SELECT `photo_id`, `type_store` FROM MTRPhoto.photo_desc_search
        WHERE photo_id IN (1014054233,1014054232,1014054231,1014054230,1014054235,1014054234,1014097492,1014097499,1014097497,1014097580,1014097924,1014098236,1014098602,1014099035,1014105778,1014105777,1014105784,1014105783,1014105782,1014105781,1014105786,1014105785,1014105791,1014105790,1014105798,1014105797,1014105796,1014105795,1014105800,1014105799,1014106095,1014106094,1014106093) AND `type`=3963
 elapsed_time : select_descriptors 0.009387493133544922
08032021 3609515 Nombre de photos avec descriptors (type 3963) : 0 / 33 (0%)
Missing descriptors for photos 0 and 1014054233
0:00:00|ON:Missing descriptors for photos 1014054233 and 1014054232
Missing descriptors for photos 1014054232 and 1014054231
Missing descriptors for photos 1014054231 and 1014054230
Missing descriptors for photos 1014054230 and 1014054235
Missing descriptors for photos 1014054235 and 1014054234
Missing descriptors for photos 1014054234 and 1014097492
Missing descriptors for photos 1014097492 and 1014097499
Missing descriptors for photos 1014097499 and 1014097497
Missing descriptors for photos 1014097497 and 1014097580
Missing descriptors for photos 1014097580 and 1014097924
Missing descriptors for photos 1014097924 and 1014098236
Missing descriptors for photos 1014098236 and 1014098602
Missing descriptors for photos 1014098602 and 1014099035
Missing descriptors for photos 1014099035 and 1014105778
Missing descriptors for photos 1014105778 and 1014105777
Missing descriptors for photos 1014105777 and 1014105784
Missing descriptors for photos 1014105784 and 1014105783
Missing descriptors for photos 1014105783 and 1014105782
Missing descriptors for photos 1014105782 and 1014105781
Missing descriptors for photos 1014105781 and 1014105786
Missing descriptors for photos 1014105786 and 1014105785
Missing descriptors for photos 1014105785 and 1014105791
Missing descriptors for photos 1014105791 and 1014105790
Missing descriptors for photos 1014105790 and 1014105798
Missing descriptors for photos 1014105798 and 1014105797
Missing descriptors for photos 1014105797 and 1014105796
Missing descriptors for photos 1014105796 and 1014105795
Missing descriptors for photos 1014105795 and 1014105800
Missing descriptors for photos 1014105800 and 1014105799
Missing descriptors for photos 1014105799 and 1014106095
Missing descriptors for photos 1014106095 and 1014106094
Missing descriptors for photos 1014106094 and 1014106093

 08032021 Removing 0 photos because of the 'same image' condition
 list_time_on : 0 first ten : []
 list_time_off : 1 first ten : [datetime.timedelta(0)]
Total on : 0
Total off : 0.0
list_time_off
{'nb': 1, 'mean': 0.0, 'stddev': 0, 'min': 0.0, 'max': 0.0, 'quantil_10': {'min': [0.0], 'max': [0.0]}, 'quantil_100': {'min': [0.0], 'max': [0.0]}, 'quantil_1000': {'min': [0.0], 'max': [0.0]}, 'quantil_5000': {'min': [0.0], 'max': [0.0]}, 'quantil_10000': {'min': [0.0], 'max': [0.0]}}
Warning in study_and_display_distrib_list : min=max : 0.0 0.0


dist_desc
Warning in study_and_display_distrib_list : min=max : -1 -1




begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 33
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) on DUPLICATE KEY UPDATE hashtag_id=VALUES(hashtag_id)
 first line : (1014054233, 2107752370, 1539)
...
 last line : (1014106093, 2107752371, 1539)
time used for this insertion : 0.010456085205078125
  photos_removed : len 0
 elapsed_time : remove_photo_duplicate 0.034723758697509766
To do, maybe not at the correct place !
.................................force hashtag to JRM
 elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.004948616027832031
 NUMBER BATCH : 3
 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm']
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We filter photos on hashtag condition !
We have rejected 0 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 0
 elapsed_time : count_nb_balles_and_create_portfolio 0.13092041015625
# DISPLAY ALL COLLECTED DATA : 
{'08032021': {'nb_upload': 33, 'nb_taggue_class': 0, 'nb_taggue_densite': 0, 'nb_descriptors': 0}}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.26720619201660156
time spend to save output : 6.413459777832031e-05
total time spend for step 1 : 0.2672703266143799

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral 
[1014106095, 1014106094, 1014106093, 1014105800, 1014105799, 1014105798, 1014105797, 1014105796, 1014105795, 1014105791, 1014105790, 1014105786, 1014105785, 1014105784, 1014105783, 1014105782, 1014105781, 1014105778, 1014105777, 1014099035, 1014098602, 1014098236, 1014097924, 1014097580, 1014097499, 1014097497, 1014097492, 1014054235, 1014054234, 1014054233, 1014054232, 1014054231, 1014054230]
 map_info['map_portfolio_photo'] : {3609515: [1014106095, 1014106094, 1014106093, 1014105800, 1014105799, 1014105798, 1014105797, 1014105796, 1014105795, 1014105791, 1014105790, 1014105786, 1014105785, 1014105784, 1014105783, 1014105782, 1014105781, 1014105778, 1014105777, 1014099035, 1014098602, 1014098236, 1014097924, 1014097580, 1014097499, 1014097497, 1014097492, 1014054235, 1014054234, 1014054233, 1014054232, 1014054231, 1014054230]}
 final :  True mtd_id 3181 list_pids : [1014106095, 1014106094, 1014106093, 1014105800, 1014105799, 1014105798, 1014105797, 1014105796, 1014105795, 1014105791, 1014105790, 1014105786, 1014105785, 1014105784, 1014105783, 1014105782, 1014105781, 1014105778, 1014105777, 1014099035, 1014098602, 1014098236, 1014097924, 1014097580, 1014097499, 1014097497, 1014097492, 1014054235, 1014054234, 1014054233, 1014054232, 1014054231, 1014054230]
Looping around the photos to save general results
len do output : 1
/3609515Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bee8e3a60>
Managing all output in save final without adding information in the mtr_datou_result 
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014106095', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014106094', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014106093', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105800', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105799', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105798', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105797', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105796', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105795', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105791', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105790', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105786', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105785', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105784', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105783', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105782', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105781', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105778', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014105777', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014099035', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014098602', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014098236', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014097924', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014097580', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014097499', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014097497', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014097492', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014054235', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014054234', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014054233', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014054232', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014054231', None, None, None, None, None, None)
('3181', None, None, None, None, None, None, None, None)
('3181', '3609515', '1014054230', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 34
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3181', None, '3609515', 'None', None, None, None, None, None), ('3181', '3609515', '1014106095', None, None, None, None, None, None), ('3181', '3609515', '1014106094', None, None, None, None, None, None), ('3181', '3609515', '1014106093', None, None, None, None, None, None), ('3181', '3609515', '1014105800', None, None, None, None, None, None), ('3181', '3609515', '1014105799', None, None, None, None, None, None), ('3181', '3609515', '1014105798', None, None, None, None, None, None), ('3181', '3609515', '1014105797', None, None, None, None, None, None), ('3181', '3609515', '1014105796', None, None, None, None, None, None), ('3181', '3609515', '1014105795', None, None, None, None, None, None), ('3181', '3609515', '1014105791', None, None, None, None, None, None), ('3181', '3609515', '1014105790', None, None, None, None, None, None), ('3181', '3609515', '1014105786', None, None, None, None, None, None), ('3181', '3609515', '1014105785', None, None, None, None, None, None), ('3181', '3609515', '1014105784', None, None, None, None, None, None), ('3181', '3609515', '1014105783', None, None, None, None, None, None), ('3181', '3609515', '1014105782', None, None, None, None, None, None), ('3181', '3609515', '1014105781', None, None, None, None, None, None), ('3181', '3609515', '1014105778', None, None, None, None, None, None), ('3181', '3609515', '1014105777', None, None, None, None, None, None), ('3181', '3609515', '1014099035', None, None, None, None, None, None), ('3181', '3609515', '1014098602', None, None, None, None, None, None), ('3181', '3609515', '1014098236', None, None, None, None, None, None), ('3181', '3609515', '1014097924', None, None, None, None, None, None), ('3181', '3609515', '1014097580', None, None, None, None, None, None), ('3181', '3609515', '1014097499', None, None, None, None, None, None), ('3181', '3609515', '1014097497', None, None, None, None, None, None), ('3181', '3609515', '1014097492', None, None, None, None, None, None), ('3181', '3609515', '1014054235', None, None, None, None, None, None), ('3181', '3609515', '1014054234', None, None, None, None, None, None), ('3181', '3609515', '1014054233', None, None, None, None, None, None), ('3181', '3609515', '1014054232', None, None, None, None, None, None), ('3181', '3609515', '1014054231', None, None, None, None, None, None), ('3181', '3609515', '1014054230', None, None, None, None, None, None)]
time used for this insertion : 0.01628732681274414
 save_final 

save missing photos in datou_result :
After save, about to update current !
{'3609515': ([[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11, 12, 13], [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]], {'Rungis_JRM': []}, {}, {2107757407: 0}, {'amount_uploaded_and_tagged': {'08032021': {'nb_upload': 33, 'nb_taggue_class': 0, 'nb_taggue_densite': 0, 'nb_descriptors': 0}}, 'map_amount_per_hashtag': {'Rungis_JRM': []}, 'count': {'Rungis_JRM': []}})}
got : {'Rungis_JRM': []}
expected : {'Rungis_JRM': [(0, 1), (1, 2), (2, 3)]}
ERROR rubbia_horaire FAILED

############################### TEST rle_unique_nms_with_priority  ################################
t
SELECT id FROM MTRPhoto.crop_hashtag_ids WHERE photo_id=998957128 AND `type`=2805
DELETE FROM MTRPhoto.crop_hashtag_ids WHERE id IN (3687386724,3687386725,3687386726,3687386727,3687386728,3687386729,3687386730,3687386731,3687386732,3687386733) 
SELECT id FROM MTRPhoto.crop_hashtag_ids WHERE photo_id=996751167 AND `type`=2805
DELETE FROM MTRPhoto.crop_hashtag_ids WHERE id IN (3687387441,3687387414,3687387442,3687387421,3687387404,3687387418,3687387401,3687387432,3687387420,3687387411,3687387439,3687387423,3687387428,3687387429,3687387434,3687387431,3687387407,3687387436,3687387412,3687387415,3687387430,3687387438,3687387417,3687387422,3687387413,3687387403,3687387427,3687387433,3687387405,3687387400,3687387409,3687387402,3687387419,3687387437,3687387424,3687387410,3687387426,3687387425,3687387408,3687387435,3687387440,3687387406,3687387416,3687387399) 
DELETE FROM MTRPhoto.photo_carac_ratio WHERE hashtag_type=2805;
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2548

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2548
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2548
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2548
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : rle_unique_nms_with_priority
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (998957128) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 998957128
download finish for photo 998957128
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.1596064567565918
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:rle_unique_nms_with_priority
Wed Feb 26 16:41:45 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584505_3116993_998957128_f45017ffedbd1f7cb33fed47ac33648c.jpg': 998957128}
map_photo_id_path_extension : {998957128: {'path': 'temp/1740584505_3116993_998957128_f45017ffedbd1f7cb33fed47ac33648c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1740584505_3116993_998957128_f45017ffedbd1f7cb33fed47ac33648c.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 998957128) and `type` in (2804) and hashtag_id in (2107754127,2107755994) 
Loaded 10 chid ids of type : 2804
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1872612725,1872612726,1872612727,1872612728,1872612729,1872612730,1872612731,1872612732,1872612733,1872612734)
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612725. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612726. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612727. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612728. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612729. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612730. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612731. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612732. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612733. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
+WARNING : duplicated polygon, we should remove this data for chi_id : 1872612734. Ignored now
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1872612725,1872612726,1872612727,1872612728,1872612729,1872612730,1872612731,1872612732,1872612733,1872612734)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1872612725,1872612726,1872612727,1872612728,1872612729,1872612730,1872612731,1872612732,1872612733,1872612734)
nb_obj : 10
nb_hashtags :  2
time to prepare the origin masks  : 0.42162275314331055
time for calcul the mask position with numpy : 0.004472017288208008
nb_pixel_total : 217207
time to create 1 rle with new method : 0.04159736633300781
time for calcul the mask position with numpy : 0.0027740001678466797
nb_pixel_total : 1008
time to create 1 rle with old method : 0.0011687278747558594
time for calcul the mask position with numpy : 0.0026772022247314453
nb_pixel_total : 751
time to create 1 rle with old method : 0.0008485317230224609
time for calcul the mask position with numpy : 0.0026569366455078125
nb_pixel_total : 722
time to create 1 rle with old method : 0.0008690357208251953
time for calcul the mask position with numpy : 0.0026895999908447266
nb_pixel_total : 2949
time to create 1 rle with old method : 0.003343343734741211
time for calcul the mask position with numpy : 0.0027170181274414062
nb_pixel_total : 497
time to create 1 rle with old method : 0.0005750656127929688
time for calcul the mask position with numpy : 0.002698183059692383
nb_pixel_total : 1086
time to create 1 rle with old method : 0.012357950210571289
time for calcul the mask position with numpy : 0.00409245491027832
nb_pixel_total : 1924
time to create 1 rle with old method : 0.0022592544555664062
time for calcul the mask position with numpy : 0.0028967857360839844
nb_pixel_total : 413
time to create 1 rle with old method : 0.0004937648773193359
time for calcul the mask position with numpy : 0.0026674270629882812
nb_pixel_total : 526
time to create 1 rle with old method : 0.0006074905395507812
create new chi : 0.09477400779724121
 proportion hashtag : balle_pet_clair 0.23568467881944444
 proportion hashtag : contaminant_du_pet_clair 0.010716145833333333
time to delete rle : 0.013804435729980469
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 10 chid ids of type : 2805
Number RLEs to save : 1674
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3687654844', '538', '174', '1')
...
 last line : ('3687654853', '691', '285', '1')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 
save time : 0.14030003547668457
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {998957128: (0.0, 'Should be the crop_list due to order', 0)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.9030368328094482
time spend to save output : 0.0001010894775390625
total time spend for step 1 : 0.9031379222869873

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {998957128: (0.0, 'Should be the crop_list due to order', 0)}
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2573

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2573
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2573
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2573
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : rle_unique_nms_with_priority
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1066511071) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 1066511071
download finish for photo 1066511071
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.2514035701751709
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:rle_unique_nms_with_priority
Wed Feb 26 16:41:46 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584506_3116993_1066511071_cca6b29b0253f105b76231d9c28fabe3.jpg': 1066511071}
map_photo_id_path_extension : {1066511071: {'path': 'temp/1740584506_3116993_1066511071_cca6b29b0253f105b76231d9c28fabe3.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1740584506_3116993_1066511071_cca6b29b0253f105b76231d9c28fabe3.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1066511071) and `type` in (4169) and hashtag_id in (492774966,492668766,538914404) 
Loaded 10 chid ids of type : 4169
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2256126232,2256126224,2256126221,2256126220,2256126223,2256126225,2256126229,2256126228,2256126222,2256126218)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2256126232,2256126224,2256126221,2256126220,2256126223,2256126225,2256126229,2256126228,2256126222,2256126218)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2256126232,2256126224,2256126221,2256126220,2256126223,2256126225,2256126229,2256126228,2256126222,2256126218)
seulement à utiliser dans la step consolidation
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 10 chid ids of type : 2805
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
save time : 0.027112960815429688
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {1066511071: (0.0, 'Should be the crop_list due to order', 0)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.4073374271392822
time spend to save output : 4.38690185546875e-05
total time spend for step 1 : 0.4073812961578369

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {1066511071: (0.0, 'Should be the crop_list due to order', 0)}
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2574

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2574
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2574
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2574
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : rle_unique_nms_with_priority
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (996751167) 
 Found this number of photos: 1
##### Call download_photos : nb_thread : 5
begin to download photo : 996751167
download finish for photo 996751167
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.18134760856628418
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:rle_unique_nms_with_priority
Wed Feb 26 16:41:47 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584506_3116993_996751167_a4a67aed9b2473876b59443347f3912e.jpg': 996751167}
map_photo_id_path_extension : {996751167: {'path': 'temp/1740584506_3116993_996751167_a4a67aed9b2473876b59443347f3912e.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1740584506_3116993_996751167_a4a67aed9b2473876b59443347f3912e.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 996751167) and `type` in (2596)  and score>0.5and hashtag_id in (492622729,501120777) 
Loaded 91 chid ids of type : 2596
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1855152024,1947270239,1947270255,1947270247,1855152035,1947270267,1947270236,1855152019,1855152044,1947270245,1855152040,1855152025,1947270251,1855152027,1947270250,1855152020,1947270237,1855152029,1947270241,1855152058,1947270274,1855152062,1855152061,1947270275,1947270277,1855152055,1855152052,1947270261,1855152046,1947270265,1855152021,1947270238,1947270269,1855152045,1947270276,1947270257,1855152054,1855152031,1947270263,1855152023,1855156849,1947270240,1855152042,1947270249,1855152047,1947270273,1947270258,1855152050,1947270270,1855152034,1855152039,1947270259,1855152063,1947270272,1855152038,1947270252,1855152026,1947270242,1855152049,1947270256,1855152048,1947270262,1855152056,1947270266,1947270271,1855152037,1855156850,1947270253,1855152033,1947270246,1855152030,1855152041,1947270260,1855152057,1855152036,1947270268,1855152043,1855152065,1855152064,1947270254,1855152060,1855152032,1947270243,1855152059,1855152051,1855152053,1947270264,1855152022,1947270248,1947270244,1855152028)
+++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1855152024,1947270239,1947270255,1947270247,1855152035,1947270267,1947270236,1855152019,1855152044,1947270245,1855152040,1855152025,1947270251,1855152027,1947270250,1855152020,1947270237,1855152029,1947270241,1855152058,1947270274,1855152062,1855152061,1947270275,1947270277,1855152055,1855152052,1947270261,1855152046,1947270265,1855152021,1947270238,1947270269,1855152045,1947270276,1947270257,1855152054,1855152031,1947270263,1855152023,1855156849,1947270240,1855152042,1947270249,1855152047,1947270273,1947270258,1855152050,1947270270,1855152034,1855152039,1947270259,1855152063,1947270272,1855152038,1947270252,1855152026,1947270242,1855152049,1947270256,1855152048,1947270262,1855152056,1947270266,1947270271,1855152037,1855156850,1947270253,1855152033,1947270246,1855152030,1855152041,1947270260,1855152057,1855152036,1947270268,1855152043,1855152065,1855152064,1947270254,1855152060,1855152032,1947270243,1855152059,1855152051,1855152053,1947270264,1855152022,1947270248,1947270244,1855152028)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1855152024,1947270239,1947270255,1947270247,1855152035,1947270267,1947270236,1855152019,1855152044,1947270245,1855152040,1855152025,1947270251,1855152027,1947270250,1855152020,1947270237,1855152029,1947270241,1855152058,1947270274,1855152062,1855152061,1947270275,1947270277,1855152055,1855152052,1947270261,1855152046,1947270265,1855152021,1947270238,1947270269,1855152045,1947270276,1947270257,1855152054,1855152031,1947270263,1855152023,1855156849,1947270240,1855152042,1947270249,1855152047,1947270273,1947270258,1855152050,1947270270,1855152034,1855152039,1947270259,1855152063,1947270272,1855152038,1947270252,1855152026,1947270242,1855152049,1947270256,1855152048,1947270262,1855152056,1947270266,1947270271,1855152037,1855156850,1947270253,1855152033,1947270246,1855152030,1855152041,1947270260,1855152057,1855152036,1947270268,1855152043,1855152065,1855152064,1947270254,1855152060,1855152032,1947270243,1855152059,1855152051,1855152053,1947270264,1855152022,1947270248,1947270244,1855152028)
nb_obj : 43
nb_hashtags :  2
time to prepare the origin masks  : 15.950304508209229
time for calcul the mask position with numpy : 0.4010899066925049
nb_pixel_total : 5233657
time to create 1 rle with new method : 0.7772185802459717
time for calcul the mask position with numpy : 0.034784555435180664
nb_pixel_total : 11972
time to create 1 rle with old method : 0.014741659164428711
time for calcul the mask position with numpy : 0.03464484214782715
nb_pixel_total : 15054
time to create 1 rle with old method : 0.01749587059020996
time for calcul the mask position with numpy : 0.03532290458679199
nb_pixel_total : 13954
time to create 1 rle with old method : 0.015506267547607422
time for calcul the mask position with numpy : 0.03630208969116211
nb_pixel_total : 4888
time to create 1 rle with old method : 0.005495548248291016
time for calcul the mask position with numpy : 0.04612231254577637
nb_pixel_total : 1188492
time to create 1 rle with new method : 0.8414382934570312
time for calcul the mask position with numpy : 0.033829689025878906
nb_pixel_total : 184585
time to create 1 rle with new method : 0.860177755355835
time for calcul the mask position with numpy : 0.037084341049194336
nb_pixel_total : 18620
time to create 1 rle with old method : 0.03311443328857422
time for calcul the mask position with numpy : 0.0459599494934082
nb_pixel_total : 62945
time to create 1 rle with old method : 0.10778546333312988
time for calcul the mask position with numpy : 0.05573892593383789
nb_pixel_total : 9427
time to create 1 rle with old method : 0.01697850227355957
time for calcul the mask position with numpy : 0.03866171836853027
nb_pixel_total : 9081
time to create 1 rle with old method : 0.010535240173339844
time for calcul the mask position with numpy : 0.03335261344909668
nb_pixel_total : 15987
time to create 1 rle with old method : 0.019055604934692383
time for calcul the mask position with numpy : 0.03691554069519043
nb_pixel_total : 33276
time to create 1 rle with old method : 0.04050922393798828
time for calcul the mask position with numpy : 0.03478240966796875
nb_pixel_total : 17533
time to create 1 rle with old method : 0.021465539932250977
time for calcul the mask position with numpy : 0.048464298248291016
nb_pixel_total : 4876
time to create 1 rle with old method : 0.00819849967956543
time for calcul the mask position with numpy : 0.047271728515625
nb_pixel_total : 25226
time to create 1 rle with old method : 0.029363632202148438
time for calcul the mask position with numpy : 0.034630775451660156
nb_pixel_total : 30773
time to create 1 rle with old method : 0.034058570861816406
time for calcul the mask position with numpy : 0.033136606216430664
nb_pixel_total : 65671
time to create 1 rle with old method : 0.07964849472045898
time for calcul the mask position with numpy : 0.034180641174316406
nb_pixel_total : 12230
time to create 1 rle with old method : 0.015352964401245117
time for calcul the mask position with numpy : 0.034294843673706055
nb_pixel_total : 29560
time to create 1 rle with old method : 0.046326398849487305
time for calcul the mask position with numpy : 0.0509648323059082
nb_pixel_total : 14310
time to create 1 rle with old method : 0.024542808532714844
time for calcul the mask position with numpy : 0.05501723289489746
nb_pixel_total : 15117
time to create 1 rle with old method : 0.021910667419433594
time for calcul the mask position with numpy : 0.04316234588623047
nb_pixel_total : 301487
time to create 1 rle with new method : 1.0288310050964355
time for calcul the mask position with numpy : 0.03807830810546875
nb_pixel_total : 29821
time to create 1 rle with old method : 0.040755271911621094
time for calcul the mask position with numpy : 0.056725502014160156
nb_pixel_total : 40299
time to create 1 rle with old method : 0.06705713272094727
time for calcul the mask position with numpy : 0.05883479118347168
nb_pixel_total : 12680
time to create 1 rle with old method : 0.0227816104888916
time for calcul the mask position with numpy : 0.058637142181396484
nb_pixel_total : 9449
time to create 1 rle with old method : 0.01649165153503418
time for calcul the mask position with numpy : 0.056334495544433594
nb_pixel_total : 15168
time to create 1 rle with old method : 0.021055221557617188
time for calcul the mask position with numpy : 0.03528022766113281
nb_pixel_total : 11140
time to create 1 rle with old method : 0.01215815544128418
time for calcul the mask position with numpy : 0.03383159637451172
nb_pixel_total : 29065
time to create 1 rle with old method : 0.03140735626220703
time for calcul the mask position with numpy : 0.032123565673828125
nb_pixel_total : 22774
time to create 1 rle with old method : 0.025460243225097656
time for calcul the mask position with numpy : 0.03206682205200195
nb_pixel_total : 13880
time to create 1 rle with old method : 0.014579296112060547
time for calcul the mask position with numpy : 0.039726972579956055
nb_pixel_total : 155366
time to create 1 rle with new method : 0.7715725898742676
time for calcul the mask position with numpy : 0.03464174270629883
nb_pixel_total : 63941
time to create 1 rle with old method : 0.06961941719055176
time for calcul the mask position with numpy : 0.03382563591003418
nb_pixel_total : 7836
time to create 1 rle with old method : 0.009107589721679688
time for calcul the mask position with numpy : 0.03394031524658203
nb_pixel_total : 7460
time to create 1 rle with old method : 0.008492708206176758
time for calcul the mask position with numpy : 0.04463601112365723
nb_pixel_total : 44600
time to create 1 rle with old method : 0.06609892845153809
time for calcul the mask position with numpy : 0.036504268646240234
nb_pixel_total : 11879
time to create 1 rle with old method : 0.01646280288696289
time for calcul the mask position with numpy : 0.03393673896789551
nb_pixel_total : 44195
time to create 1 rle with old method : 0.048949241638183594
time for calcul the mask position with numpy : 0.03320884704589844
nb_pixel_total : 23652
time to create 1 rle with old method : 0.026459217071533203
time for calcul the mask position with numpy : 0.03360247611999512
nb_pixel_total : 30006
time to create 1 rle with old method : 0.040955543518066406
time for calcul the mask position with numpy : 0.03744792938232422
nb_pixel_total : 15880
time to create 1 rle with old method : 0.02619194984436035
time for calcul the mask position with numpy : 0.05109000205993652
nb_pixel_total : 29845
time to create 1 rle with old method : 0.03328418731689453
time for calcul the mask position with numpy : 0.03670191764831543
nb_pixel_total : 144263
time to create 1 rle with old method : 0.16750669479370117
create new chi : 7.900491952896118
 proportion hashtag : error 0.14340033061450744
 proportion hashtag : environment 0.209023722085841
 proportion hashtag : pet_fonce 0.6475759472996516
time to delete rle : 0.5069358348846436
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 44 chid ids of type : 2805
Number RLEs to save : 27884
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3687655352', '0', '0', '3280')
...
 last line : ('3687655395', '2459', '2462', '1')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 
save time : 2.205294609069824
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {996751167: (1.0, 'Should be the crop_list due to order', 1.0)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 26.87982726097107
time spend to save output : 0.00016927719116210938
total time spend for step 1 : 26.87999653816223

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {996751167: (1.0, 'Should be the crop_list due to order', 1.0)}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 998957128,996751167) and `type` in (2805) 
Loaded 54 chid ids of type : 2805
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (3687654844,3687654845,3687654846,3687654847,3687654848,3687654849,3687654850,3687654851,3687654852,3687654853,3687655352,3687655353,3687655354,3687655355,3687655356,3687655357,3687655358,3687655359,3687655360,3687655361,3687655362,3687655363,3687655364,3687655365,3687655366,3687655367,3687655368,3687655369,3687655370,3687655371,3687655372,3687655373,3687655374,3687655375,3687655376,3687655377,3687655378,3687655379,3687655380,3687655381,3687655382,3687655383,3687655384,3687655385,3687655386,3687655387,3687655388,3687655389,3687655390,3687655391,3687655392,3687655393,3687655394,3687655395)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3687654844,3687654845,3687654846,3687654847,3687654848,3687654849,3687654850,3687654851,3687654852,3687654853,3687655352,3687655353,3687655354,3687655355,3687655356,3687655357,3687655358,3687655359,3687655360,3687655361,3687655362,3687655363,3687655364,3687655365,3687655366,3687655367,3687655368,3687655369,3687655370,3687655371,3687655372,3687655373,3687655374,3687655375,3687655376,3687655377,3687655378,3687655379,3687655380,3687655381,3687655382,3687655383,3687655384,3687655385,3687655386,3687655387,3687655388,3687655389,3687655390,3687655391,3687655392,3687655393,3687655394,3687655395)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3687654844,3687654845,3687654846,3687654847,3687654848,3687654849,3687654850,3687654851,3687654852,3687654853,3687655352,3687655353,3687655354,3687655355,3687655356,3687655357,3687655358,3687655359,3687655360,3687655361,3687655362,3687655363,3687655364,3687655365,3687655366,3687655367,3687655368,3687655369,3687655370,3687655371,3687655372,3687655373,3687655374,3687655375,3687655376,3687655377,3687655378,3687655379,3687655380,3687655381,3687655382,3687655383,3687655384,3687655385,3687655386,3687655387,3687655388,3687655389,3687655390,3687655391,3687655392,3687655393,3687655394,3687655395)
SELECT * FROM MTRPhoto.photo_carac_ratio WHERE hashtag_type=2805;

############################### TEST random_deformation  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2896

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2896
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2896
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2896
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : random_deformation
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3288640) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3288640)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1006293201, 'portfolio_id': 3288640}]
 map_portfolio_id_photo_id: {3288640: [1006293201]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1006293201
download finish for photo 1006293201
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.13219499588012695
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:random_deformation
Wed Feb 26 16:42:14 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584534_3116993_1006293201_ac133c4479fdab9f9d690f3bcbac83df.jpg': 1006293201}
map_photo_id_path_extension : {1006293201: {'path': 'temp/1740584534_3116993_1006293201_ac133c4479fdab9f9d690f3bcbac83df.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

beginning of datou step random deformation
get user info for portfolio 3288640
on traite la photo : 1006293201

About to upload 4 photos
upload in portfolio : 3287159
init cache_photo without model_param  
we have 4 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1740584537_3116993
we have uploaded 4 photos in the portfolio 3287159

time of upload the photos Elapsed time : 1.4750945568084717


After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 4.6072094440460205
time spend to save output : 0.00011420249938964844
total time spend for step 1 : 4.60732364654541

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : random_deformation we use saveGeneral 
[1006293201]
 map_info['map_portfolio_photo'] : {3288640: [1006293201]}
 final :  True mtd_id 2896 list_pids : [1006293201]
Looping around the photos to save general results
len do output : 4
/1339751682Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751683Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751684Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1339751685Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bece801c0>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bece80250>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bece80310>
Managing all output in save final without adding information in the mtr_datou_result 
('2896', None, None, None, None, None, None, None, None)
('2896', '3288640', '1006293201', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 13
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('2896', None, '1339751682', 'None', None, None, None, None, None), ('2896', None, '1339751683', 'None', None, None, None, None, None), ('2896', None, '1339751684', 'None', None, None, None, None, None), ('2896', None, '1339751685', 'None', None, None, None, None, None), ('2896', '3288640', '1006293201', None, None, None, None, None, None)]
time used for this insertion : 0.012058258056640625
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {1339751682: ['1006293201', 'temp/1006293201_random_deformation_0.png', []], 1339751683: ['1006293201', 'temp/1006293201_random_deformation_1.png', []], 1339751684: ['1006293201', 'temp/1006293201_random_deformation_2.png', []], 1339751685: ['1006293201', 'temp/1006293201_random_deformation_3.png', []]}
name 'urllib' is not defined
can't unload the photo : 1006293201
t

############################### TEST tile  ################################
test tile avec chi rectangles, rles, polygones
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2985

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2985
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2985
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2985
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : tile
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3341855) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3341855)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1008283903, 'portfolio_id': 3341855}]
 map_portfolio_id_photo_id: {3341855: [1008283903]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1008283903
download finish for photo 1008283903
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.2917516231536865
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:tile
Wed Feb 26 16:42:19 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53.jpg': 1008283903}
map_photo_id_path_extension : {1008283903: {'path': 'temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
verbose : True
 param_json : {'ETA': 3600, 'new_width': 640, 'new_height': 640, 'token': '5d93a4b2b749464f208c339a1324b78f', 'stride': 0, 'stride_relative': 0, 'portfolio_name': 'results_test_tile', 'crop_hashtag_type_tiled': 3243, 'crop_hashtag_type': 3242, 'arg_aux_upload': {'type_upload': 'python'}, 'host': 'www.fotonower.com'}
 type(crop_hashtag_type) : <class 'int'>
 type(crop_hashtag_type_tiled) : <class 'int'>
We consider crop_hashtag_type is an integer ! 
  map_chi_type_to_chi_type_cropped : {3242: 3243}
TO DEPRECATE VR 14-6-18
 map_filenames :  {1008283903: 'temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53.jpg'}
 list_pids :   1
 list_pids :   2
 list_subpids to replace list_pids : 0
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1008283903,1008283903) and `type` in (3242) 
Loaded 2 chid ids of type : 3242
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1929991390,1929991392)
++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1929991390,1929991392)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1929991390,1929991392)
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=results_test_tile&access_token=5d93a4b2b749464f208c339a1324b78f
 created feed_id_new_photos : 20847111 with name results_test_tile
 feed_id_new_photos : 20847111
 filename : temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53.jpg
 photo_id : 1008283903
 height_image_input : 2464 width_image_input : 3280
 new_width : 640 new_height : 640
 stride : 0 stride_relative : 0
 chi to copy from the main photo to the tiled photo  input_chi_for_this_image_as_chi :  2
list_bib_to_crops : 24 [(0, 640, 0, 640, 0), (0, 640, 640, 1280, 1), (0, 640, 1280, 1920, 2), (0, 640, 1824, 2464, 3), (640, 1280, 0, 640, 4), (640, 1280, 640, 1280, 5), (640, 1280, 1280, 1920, 6), (640, 1280, 1824, 2464, 7), (1280, 1920, 0, 640, 8), (1280, 1920, 640, 1280, 9), (1280, 1920, 1280, 1920, 10), (1280, 1920, 1824, 2464, 11), (1920, 2560, 0, 640, 12), (1920, 2560, 640, 1280, 13), (1920, 2560, 1280, 1920, 14), (1920, 2560, 1824, 2464, 15), (2560, 3200, 0, 640, 16), (2560, 3200, 640, 1280, 17), (2560, 3200, 1280, 1920, 18), (2560, 3200, 1824, 2464, 19), (2640, 3280, 0, 640, 20), (2640, 3280, 640, 1280, 21), (2640, 3280, 1280, 1920, 22), (2640, 3280, 1824, 2464, 23)]
calcul des nouveaux crops pour le tile x0:0,x1:640,y0:0,y1:640
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:0,x1:640,y0:640,y1:1280
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:0,x1:640,y0:1280,y1:1920
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:0,x1:640,y0:1824,y1:2464
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:640,x1:1280,y0:0,y1:640
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:640,x1:1280,y0:640,y1:1280
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:640,x1:1280,y0:1280,y1:1920
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:640,x1:1280,y0:1824,y1:2464
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:1280,x1:1920,y0:0,y1:640
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:1280,x1:1920,y0:640,y1:1280
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c6c763070>]
calcul des nouveaux crops pour le tile x0:1280,x1:1920,y0:1280,y1:1920
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c6c763190>]
calcul des nouveaux crops pour le tile x0:1280,x1:1920,y0:1824,y1:2464
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c6c763940>]
calcul des nouveaux crops pour le tile x0:1920,x1:2560,y0:0,y1:640
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c6c763370>]
calcul des nouveaux crops pour le tile x0:1920,x1:2560,y0:640,y1:1280
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c6c763610>]
calcul des nouveaux crops pour le tile x0:1920,x1:2560,y0:1280,y1:1920
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c6c763040>]
calcul des nouveaux crops pour le tile x0:1920,x1:2560,y0:1824,y1:2464
calcul avec la methode originale
chi selectionnes : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c6c7634f0>]
calcul des nouveaux crops pour le tile x0:2560,x1:3200,y0:0,y1:640
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2560,x1:3200,y0:640,y1:1280
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2560,x1:3200,y0:1280,y1:1920
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2560,x1:3200,y0:1824,y1:2464
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2640,x1:3280,y0:0,y1:640
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2640,x1:3280,y0:640,y1:1280
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2640,x1:3280,y0:1280,y1:1920
chi selectionnes : []
calcul des nouveaux crops pour le tile x0:2640,x1:3280,y0:1824,y1:2464
chi selectionnes : []
 new_crops_tiles : 24 crop_transformed : 7
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
[(1008283903, 2090988864, 17, 0, 640, 0, 640, 1.0), (1008283903, 2090988864, 17, 0, 640, 640, 1280, 1.0), (1008283903, 2090988864, 17, 0, 640, 1280, 1920, 1.0), (1008283903, 2090988864, 17, 0, 640, 1824, 2464, 1.0), (1008283903, 2090988864, 17, 640, 1280, 0, 640, 1.0), (1008283903, 2090988864, 17, 640, 1280, 640, 1280, 1.0), (1008283903, 2090988864, 17, 640, 1280, 1280, 1920, 1.0), (1008283903, 2090988864, 17, 640, 1280, 1824, 2464, 1.0), (1008283903, 2090988864, 17, 1280, 1920, 0, 640, 1.0), (1008283903, 2090988864, 17, 1280, 1920, 640, 1280, 1.0), (1008283903, 2090988864, 17, 1280, 1920, 1280, 1920, 1.0), (1008283903, 2090988864, 17, 1280, 1920, 1824, 2464, 1.0), (1008283903, 2090988864, 17, 1920, 2560, 0, 640, 1.0), (1008283903, 2090988864, 17, 1920, 2560, 640, 1280, 1.0), (1008283903, 2090988864, 17, 1920, 2560, 1280, 1920, 1.0), (1008283903, 2090988864, 17, 1920, 2560, 1824, 2464, 1.0), (1008283903, 2090988864, 17, 2560, 3200, 0, 640, 1.0), (1008283903, 2090988864, 17, 2560, 3200, 640, 1280, 1.0), (1008283903, 2090988864, 17, 2560, 3200, 1280, 1920, 1.0), (1008283903, 2090988864, 17, 2560, 3200, 1824, 2464, 1.0), (1008283903, 2090988864, 17, 2640, 3280, 0, 640, 1.0), (1008283903, 2090988864, 17, 2640, 3280, 640, 1280, 1.0), (1008283903, 2090988864, 17, 2640, 3280, 1280, 1920, 1.0), (1008283903, 2090988864, 17, 2640, 3280, 1824, 2464, 1.0)]
  list_photo_ids_cropped : [1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903, 1008283903]
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903,1008283903) and `type` in (17) 
Loaded 24 chid ids of type : 17
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1930014930,1930014931,1930014932,1930014933,1930014934,1930014935,1930014936,1930014937,1930014938,1930014939,1930014940,1930014941,1930014942,1930014943,1930014944,1930014945,1930014946,1930014947,1930014948,1930014949,1930014950,1930014951,1930014952,1930014953)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1930014930,1930014931,1930014932,1930014933,1930014934,1930014935,1930014936,1930014937,1930014938,1930014939,1930014940,1930014941,1930014942,1930014943,1930014944,1930014945,1930014946,1930014947,1930014948,1930014949,1930014950,1930014951,1930014952,1930014953)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1930014930,1930014931,1930014932,1930014933,1930014934,1930014935,1930014936,1930014937,1930014938,1930014939,1930014940,1930014941,1930014942,1930014943,1930014944,1930014945,1930014946,1930014947,1930014948,1930014949,1930014950,1930014951,1930014952,1930014953)
treat the image : temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53.jpg
, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
before upload mediasElapsed time : 0.5497572422027588

on upload les photos avec python
init cache_photo without model_param  
we have 24 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1740584546_3116993
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `mtr_user_id`, `created_at`)
                  VALUES (20847111, 1339751697, 0, NOW()),(20847111, 1339751698, 0, NOW()),(20847111, 1339751699, 0, NOW()),(20847111, 1339751700, 0, NOW()),(20847111, 1339751701, 0, NOW()),(20847111, 1339751702, 0, NOW()),(20847111, 1339751705, 0, NOW()),(20847111, 1339751706, 0, NOW()),(20847111, 1339751710, 0, NOW()),(20847111, 1339751711, 0, NOW()),(20847111, 1339751712, 0, NOW()),(20847111, 1339751713, 0, NOW()),(20847111, 1339751714, 0, NOW()),(20847111, 1339751715, 0, NOW()),(20847111, 1339751716, 0, NOW()),(20847111, 1339751717, 0, NOW()),(20847111, 1339751718, 0, NOW()),(20847111, 1339751719, 0, NOW()),(20847111, 1339751720, 0, NOW()),(20847111, 1339751721, 0, NOW()),(20847111, 1339751722, 0, NOW()),(20847111, 1339751723, 0, NOW()),(20847111, 1339751724, 0, NOW()),(20847111, 1339751725, 0, NOW())
24
we have uploaded 24 photos in the portfolio 20847111
Importing !

upload mediasElapsed time : 17.610023975372314

, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : [(1930014930, 1339751697, 0), (1930014931, 1339751698, 0), (1930014932, 1339751699, 0), (1930014933, 1339751700, 0), (1930014934, 1339751701, 0), (1930014935, 1339751702, 0), (1930014936, 1339751705, 0), (1930014937, 1339751706, 0), (1930014938, 1339751710, 0), (1930014939, 1339751711, 0), (1930014940, 1339751712, 0), (1930014941, 1339751713, 0), (1930014942, 1339751714, 0), (1930014943, 1339751715, 0), (1930014944, 1339751716, 0), (1930014945, 1339751717, 0), (1930014946, 1339751718, 0), (1930014947, 1339751719, 0), (1930014948, 1339751720, 0), (1930014949, 1339751721, 0), (1930014950, 1339751722, 0), (1930014951, 1339751723, 0), (1930014952, 1339751724, 0), (1930014953, 1339751725, 0)]
Saving 7 CHIs.
list_chi_tile : ["<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1339751711, 'hashtag_id': 511548407, 'type': 3243, 'x0': 180, 'x1': 640, 'y0': 611, 'y1': 640, 'score': 1.0, 'id': 0, 'points': ['311,640,292,640,268,640,240,640,229,640,223,640,188,640,181,640,180,640,186,640,211,640,216,640,211,640,211,640,244,640,242,640,261,640,275,640,298,640,357,640,380,640,409,640,548,640,557,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,635,640,628,640,628,576,621,543,612,490,611,424,621,352,640', 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[1929991390, 0, 247, 234], [1929991390, 0, 248, 234], [1929991390, 0, 249, 234], [1929991390, 0, 250, 234], [1929991390, 0, 251, 234], [1929991390, 0, 252, 234], [1929991390, 0, 253, 234], [1929991390, 0, 254, 234], [1929991390, 0, 255, 235], [1929991390, 0, 256, 235], [1929991390, 0, 257, 235], [1929991390, 0, 258, 235], [1929991390, 0, 259, 235], [1929991390, 0, 260, 235], [1929991390, 0, 261, 236], [1929991390, 0, 262, 236], [1929991390, 0, 263, 236], [1929991390, 0, 264, 237], [1929991390, 0, 265, 237], [1929991390, 0, 266, 238], [1929991390, 0, 267, 238], [1929991390, 0, 268, 238], [1929991390, 0, 269, 239], [1929991390, 0, 270, 239], [1929991390, 0, 271, 239], [1929991390, 0, 272, 240], [1929991390, 0, 273, 240], [1929991390, 0, 274, 241], [1929991390, 0, 275, 241], [1929991390, 0, 276, 241], [1929991390, 0, 277, 242], [1929991390, 0, 278, 242], [1929991390, 0, 279, 242], [1929991390, 0, 280, 243], [1929991390, 0, 281, 243], [1929991390, 0, 282, 244], [1929991390, 0, 283, 244], [1929991390, 0, 284, 244], [1929991390, 0, 285, 245], [1929991390, 0, 286, 245], [1929991390, 0, 287, 245], [1929991390, 0, 288, 245], [1929991390, 0, 289, 245], [1929991390, 0, 290, 244], [1929991390, 0, 291, 244], [1929991390, 0, 292, 244], [1929991390, 0, 293, 244], [1929991390, 0, 294, 244], [1929991390, 0, 295, 244], [1929991390, 0, 296, 244], [1929991390, 0, 297, 244], [1929991390, 0, 298, 243], [1929991390, 0, 299, 243], [1929991390, 0, 300, 243], [1929991390, 0, 301, 243], [1929991390, 0, 302, 243], [1929991390, 0, 303, 243], [1929991390, 0, 304, 243], [1929991390, 0, 305, 243], [1929991390, 0, 306, 242], [1929991390, 0, 307, 242], [1929991390, 0, 308, 242], [1929991390, 0, 309, 242], [1929991390, 0, 310, 242], [1929991390, 0, 311, 242], [1929991390, 0, 312, 242], [1929991390, 0, 313, 241], [1929991390, 0, 314, 241], [1929991390, 0, 315, 241], [1929991390, 0, 316, 241], [1929991390, 0, 317, 241], [1929991390, 0, 318, 241], [1929991390, 0, 319, 241], [1929991390, 0, 320, 241], [1929991390, 0, 321, 240], [1929991390, 0, 322, 240], [1929991390, 0, 323, 240], [1929991390, 0, 324, 240], [1929991390, 0, 325, 240], [1929991390, 0, 326, 240], [1929991390, 0, 327, 240], [1929991390, 0, 328, 240], [1929991390, 0, 329, 239], [1929991390, 0, 330, 239], [1929991390, 0, 331, 239], [1929991390, 0, 332, 239], [1929991390, 0, 333, 240], [1929991390, 0, 334, 241], [1929991390, 0, 335, 242], [1929991390, 0, 336, 243], [1929991390, 0, 337, 244], [1929991390, 0, 338, 245], [1929991390, 0, 339, 246], [1929991390, 0, 340, 247], [1929991390, 0, 341, 247], [1929991390, 0, 342, 247], [1929991390, 0, 343, 247], [1929991390, 0, 344, 248], [1929991390, 0, 345, 248], [1929991390, 0, 346, 248], [1929991390, 0, 347, 248], [1929991390, 0, 348, 248], [1929991390, 0, 349, 248], [1929991390, 0, 350, 248], [1929991390, 0, 351, 249], [1929991390, 0, 352, 249], [1929991390, 0, 353, 249], [1929991390, 0, 354, 249], [1929991390, 0, 355, 249], [1929991390, 0, 356, 249], [1929991390, 0, 357, 249], [1929991390, 0, 358, 250], [1929991390, 0, 359, 250], [1929991390, 0, 360, 250], [1929991390, 0, 361, 250], [1929991390, 0, 362, 250], [1929991390, 0, 363, 250], [1929991390, 0, 364, 250], [1929991390, 0, 365, 251], [1929991390, 0, 366, 251], [1929991390, 0, 367, 251], [1929991390, 0, 368, 251], [1929991390, 0, 369, 251], [1929991390, 0, 370, 251], [1929991390, 0, 371, 251], [1929991390, 0, 372, 252], [1929991390, 0, 373, 252], [1929991390, 0, 374, 252], [1929991390, 0, 375, 252], [1929991390, 0, 376, 252], [1929991390, 0, 377, 252], [1929991390, 0, 378, 252], [1929991390, 0, 379, 253], [1929991390, 0, 380, 253], [1929991390, 0, 381, 253], [1929991390, 0, 382, 253], [1929991390, 0, 383, 253], [1929991390, 0, 384, 253], [1929991390, 0, 385, 253], [1929991390, 0, 386, 253], [1929991390, 0, 387, 253], [1929991390, 0, 388, 253], [1929991390, 0, 389, 253], [1929991390, 0, 390, 253], [1929991390, 0, 391, 253], [1929991390, 0, 392, 253], [1929991390, 0, 393, 253], [1929991390, 0, 394, 253], [1929991390, 0, 395, 253], [1929991390, 0, 396, 253], [1929991390, 0, 397, 253], [1929991390, 0, 398, 253], [1929991390, 0, 399, 253], [1929991390, 0, 400, 253], [1929991390, 0, 401, 253], [1929991390, 0, 402, 253], [1929991390, 0, 403, 253], [1929991390, 0, 404, 253], [1929991390, 0, 405, 253], [1929991390, 0, 406, 253], [1929991390, 0, 407, 253], [1929991390, 0, 408, 253], [1929991390, 0, 409, 253], [1929991390, 0, 410, 253], [1929991390, 0, 411, 253], [1929991390, 0, 412, 253], [1929991390, 0, 413, 253], [1929991390, 0, 414, 253], [1929991390, 0, 415, 253], [1929991390, 0, 416, 253], [1929991390, 0, 417, 253], [1929991390, 0, 418, 253], [1929991390, 0, 419, 253], [1929991390, 0, 420, 253], [1929991390, 0, 421, 253], [1929991390, 0, 422, 253], [1929991390, 0, 423, 253], [1929991390, 0, 424, 253], [1929991390, 0, 425, 253], [1929991390, 0, 426, 253], [1929991390, 0, 427, 253], [1929991390, 0, 428, 253], [1929991390, 0, 429, 253], [1929991390, 0, 430, 253], [1929991390, 0, 431, 253], [1929991390, 0, 432, 253], [1929991390, 0, 433, 253], [1929991390, 0, 434, 253], [1929991390, 0, 435, 253], [1929991390, 0, 436, 253], [1929991390, 0, 437, 253], [1929991390, 0, 438, 253], [1929991390, 0, 439, 253], [1929991390, 0, 440, 253], [1929991390, 0, 441, 253], [1929991390, 0, 442, 253], [1929991390, 0, 443, 253], [1929991390, 0, 444, 253], [1929991390, 0, 445, 253], [1929991390, 0, 446, 253], [1929991390, 0, 447, 252], [1929991390, 0, 448, 252], [1929991390, 0, 449, 252], [1929991390, 0, 450, 252], [1929991390, 0, 451, 252], [1929991390, 0, 452, 251], [1929991390, 0, 453, 251], [1929991390, 0, 454, 251], [1929991390, 0, 455, 251], [1929991390, 0, 456, 251], [1929991390, 0, 457, 250], [1929991390, 0, 458, 250], [1929991390, 0, 459, 250], [1929991390, 0, 460, 250], [1929991390, 0, 461, 250], [1929991390, 0, 462, 249], [1929991390, 0, 463, 249], [1929991390, 0, 464, 249], [1929991390, 0, 465, 249], [1929991390, 0, 466, 249], [1929991390, 0, 467, 248], [1929991390, 0, 468, 248], [1929991390, 0, 469, 248], [1929991390, 0, 470, 248], [1929991390, 0, 471, 248], [1929991390, 0, 472, 247], [1929991390, 0, 473, 247], [1929991390, 0, 474, 247], [1929991390, 0, 475, 247], [1929991390, 0, 476, 247], [1929991390, 0, 477, 246], [1929991390, 0, 478, 246], [1929991390, 0, 479, 246], [1929991390, 0, 480, 246], [1929991390, 0, 481, 246], [1929991390, 0, 482, 245], [1929991390, 0, 483, 245], [1929991390, 0, 484, 245], [1929991390, 0, 485, 245], [1929991390, 0, 486, 245], [1929991390, 0, 487, 245], [1929991390, 0, 488, 245], [1929991390, 0, 489, 245], [1929991390, 0, 490, 245], [1929991390, 0, 491, 245], [1929991390, 0, 492, 245], [1929991390, 0, 493, 245], [1929991390, 0, 494, 245], [1929991390, 0, 495, 245], [1929991390, 0, 496, 245], [1929991390, 0, 497, 245], [1929991390, 0, 498, 245], [1929991390, 0, 499, 245], [1929991390, 0, 500, 245], [1929991390, 0, 501, 245], [1929991390, 0, 502, 246], [1929991390, 0, 503, 246], [1929991390, 0, 504, 246], [1929991390, 0, 505, 246], [1929991390, 0, 506, 246], [1929991390, 0, 507, 246], [1929991390, 0, 508, 246], [1929991390, 0, 509, 246], [1929991390, 0, 510, 246], [1929991390, 0, 511, 246], [1929991390, 0, 512, 246], [1929991390, 0, 513, 246], [1929991390, 0, 514, 246], [1929991390, 0, 515, 246], [1929991390, 0, 516, 246], [1929991390, 0, 517, 246], [1929991390, 0, 518, 246], [1929991390, 0, 519, 245], [1929991390, 0, 520, 245], [1929991390, 0, 521, 244], [1929991390, 16, 522, 228], [1929991390, 44, 523, 152], [1929991390, 202, 523, 41], [1929991390, 62, 524, 124], [1929991390, 205, 524, 38], [1929991390, 68, 525, 108], [1929991390, 209, 525, 33], [1929991390, 75, 526, 91], [1929991390, 212, 526, 30], [1929991390, 82, 527, 74], [1929991390, 215, 527, 26], [1929991390, 88, 528, 58], [1929991390, 218, 528, 23], [1929991390, 95, 529, 41], [1929991390, 222, 529, 18], [1929991390, 102, 530, 24], [1929991390, 225, 530, 8], [1929991390, 108, 531, 8]], 'hashtag': '', 'sum_segment': 0}"]
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 7 chid ids of type : 3243
INSERT IGNORE INTO MTRPhoto.crop_polygon_points (`crop_hashtag_id`, `points`) VALUES (%s, %s)
Number RLEs to save : 2937
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3687655663', '487', '611', '30')
...
 last line : ('3687655669', '108', '531', '8')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 

end of tileElapsed time : 17.862088680267334

map_pid_results : {'1339751697': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_0.jpg'], '1339751698': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_1.jpg'], '1339751699': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_2.jpg'], '1339751700': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_3.jpg'], '1339751701': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_4.jpg'], '1339751702': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_5.jpg'], '1339751705': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_6.jpg'], '1339751706': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_7.jpg'], '1339751710': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_8.jpg'], '1339751711': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_9.jpg'], '1339751712': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_10.jpg'], '1339751713': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_11.jpg'], '1339751714': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_12.jpg'], '1339751715': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_13.jpg'], '1339751716': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_14.jpg'], '1339751717': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_15.jpg'], '1339751718': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_16.jpg'], '1339751719': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_17.jpg'], '1339751720': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_18.jpg'], '1339751721': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_19.jpg'], '1339751722': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_20.jpg'], '1339751723': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_21.jpg'], '1339751724': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_22.jpg'], '1339751725': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_23.jpg']}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 23.997857809066772
time spend to save output : 8.511543273925781e-05
total time spend for step 1 : 23.99794292449951

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {'1339751697': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_0.jpg'], '1339751698': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_1.jpg'], '1339751699': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_2.jpg'], '1339751700': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_3.jpg'], '1339751701': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_4.jpg'], '1339751702': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_5.jpg'], '1339751705': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_6.jpg'], '1339751706': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_7.jpg'], '1339751710': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_8.jpg'], '1339751711': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_9.jpg'], '1339751712': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_10.jpg'], '1339751713': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_11.jpg'], '1339751714': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_12.jpg'], '1339751715': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_13.jpg'], '1339751716': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_14.jpg'], '1339751717': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_15.jpg'], '1339751718': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_16.jpg'], '1339751719': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_17.jpg'], '1339751720': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_18.jpg'], '1339751721': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_19.jpg'], '1339751722': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_20.jpg'], '1339751723': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_21.jpg'], '1339751724': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_22.jpg'], '1339751725': ['temp/1740584539_3116993_1008283903_6d008d31a1477b2e98cbafa96bd48e53_23.jpg']}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1339751697,1339751698,1339751699,1339751700,1339751701,1339751702,1339751705,1339751706,1339751710,1339751711,1339751712,1339751713,1339751714,1339751715,1339751716,1339751717,1339751718,1339751719,1339751720,1339751721,1339751722,1339751723,1339751724,1339751725) and `type` in (3243) 
Loaded 7 chid ids of type : 3243
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (3687655663,3687655664,3687655665,3687655666,3687655667,3687655668,3687655669)
++WARNING : duplicated polygon, we should remove this data for chi_id : 3687655663. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3687655664. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3687655665. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3687655666. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3687655667. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3687655668. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3687655669. Ignored now
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3687655663,3687655664,3687655665,3687655666,3687655667,3687655668,3687655669)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3687655663,3687655664,3687655665,3687655666,3687655667,3687655668,3687655669)
fin du test de tile

############################### TEST rotate_chi  ################################
test rotate avec chi rectangles, rles, polygones
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2970

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2970
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2970
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2970
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : rotate
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3337029) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3337029)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1003369118, 'portfolio_id': 3337029}]
 map_portfolio_id_photo_id: {3337029: [1003369118]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1003369118
download finish for photo 1003369118
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.2666032314300537
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:rotate
Wed Feb 26 16:42:43 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg': 1003369118}
map_photo_id_path_extension : {1003369118: {'path': 'temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step_rotate !
Warning, new_feed_id is empty !
We are in a linear step without datou_depend !
rotate photos of 0,90,180,270 degres
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1003369118) and `type` in (3086) 
Loaded 16 chid ids of type : 3086
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1928951187,1928951188,1928951189,1928951190,1928951191,1928951192,1928951193,1928951194,1928951195,1928951196,1928951197,1928951198,1928951199,1928951200,1928951201,1928951202)
++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1928951187,1928951188,1928951189,1928951190,1928951191,1928951192,1928951193,1928951194,1928951195,1928951196,1928951197,1928951198,1928951199,1928951200,1928951201,1928951202)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1928951187,1928951188,1928951189,1928951190,1928951191,1928951192,1928951193,1928951194,1928951195,1928951196,1928951197,1928951198,1928951199,1928951200,1928951201,1928951202)
 map_chi : {1003369118: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ae50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ac70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ac10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20adc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ae20>]}
https://marlene.fotonower.com/api/v1/secured/portfolio/new?access_token=78d09a0790ec6ecbf119343125a81fdc
 feed_id_new_photos : 20847129
 photo_id in download_rotate_and_save : 1003369118 list_chi_loc : 16
Use all angle !
Rotation of photo 1003369118 of 0 degree
temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ae50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ac70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ac10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20adc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ae20>] 0
 remove_crop_border : False
version de PIL : 9.5.0
[[ 1.  0.]
 [-0.  1.]]
0
[[ 1.  0.]
 [-0.  1.]]
 shrink_image : False
 len(list_crops) : 16
time for calcul the mask position with numpy : 0.013011693954467773
nb_pixel_total : 110633
time to create 1 rle with old method : 0.12663650512695312
.time for calcul the mask position with numpy : 0.009258747100830078
nb_pixel_total : 15826
time to create 1 rle with old method : 0.01898503303527832
.time for calcul the mask position with numpy : 0.010012149810791016
nb_pixel_total : 5286
time to create 1 rle with old method : 0.006087779998779297
.time for calcul the mask position with numpy : 0.009020328521728516
nb_pixel_total : 1633
time to create 1 rle with old method : 0.0019519329071044922
.time for calcul the mask position with numpy : 0.010660171508789062
nb_pixel_total : 105533
time to create 1 rle with old method : 0.15263032913208008
.time for calcul the mask position with numpy : 0.00907278060913086
nb_pixel_total : 4393
time to create 1 rle with old method : 0.0051839351654052734
.time for calcul the mask position with numpy : 0.009320735931396484
nb_pixel_total : 632
time to create 1 rle with old method : 0.0007936954498291016
.time for calcul the mask position with numpy : 0.011204004287719727
nb_pixel_total : 62627
time to create 1 rle with old method : 0.06922388076782227
.time for calcul the mask position with numpy : 0.009449958801269531
nb_pixel_total : 33681
time to create 1 rle with old method : 0.03914642333984375
.time for calcul the mask position with numpy : 0.010149478912353516
nb_pixel_total : 37724
time to create 1 rle with old method : 0.05377912521362305
.time for calcul the mask position with numpy : 0.010293722152709961
nb_pixel_total : 48775
time to create 1 rle with old method : 0.06661820411682129
.time for calcul the mask position with numpy : 0.13446807861328125
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.5675175189971924
.time for calcul the mask position with numpy : 0.008741378784179688
nb_pixel_total : 2310
time to create 1 rle with old method : 0.0025141239166259766
.time for calcul the mask position with numpy : 0.00907444953918457
nb_pixel_total : 2256
time to create 1 rle with old method : 0.002577066421508789
.time for calcul the mask position with numpy : 0.008874654769897461
nb_pixel_total : 3112
time to create 1 rle with old method : 0.0034666061401367188
.time for calcul the mask position with numpy : 0.00920414924621582
nb_pixel_total : 1662
time to create 1 rle with old method : 0.0019390583038330078
.len(list_crops_rotate) : 16
 list_crops_rotate : <class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 0, 'x1': 574, 'y0': 1038, 'y1': 1438, 'score': 1.0, 'id': None, 'points': ['1,1038,97,1108,179,1182,245,1230,274,1204,337,1245,310,1279,313,1288,577,1440,-1,1438'], 'sub_photo_id': 0, 'rles': [(-1, 1, 1038, 1), (-1, 1, 1039, 3), (-1, 1, 1040, 4), (-1, 1, 1041, 5), (-1, 1, 1042, 7), (-1, 1, 1043, 8), (-1, 1, 1044, 9), (-1, 1, 1045, 11), (-1, 1, 1046, 12), (-1, 1, 1047, 14), (-1, 1, 1048, 15), (-1, 1, 1049, 16), (-1, 1, 1050, 18), (-1, 1, 1051, 19), (-1, 1, 1052, 20), (-1, 1, 1053, 22), (-1, 1, 1054, 23), (-1, 1, 1055, 25), (-1, 1, 1056, 26), (-1, 1, 1057, 27), (-1, 1, 1058, 29), (-1, 1, 1059, 30), (-1, 1, 1060, 31), (-1, 1, 1061, 33), (-1, 1, 1062, 34), (-1, 1, 1063, 35), (-1, 1, 1064, 37), (-1, 1, 1065, 38), (-1, 1, 1066, 40), (-1, 1, 1067, 41), (-1, 1, 1068, 42), (-1, 1, 1069, 44), (-1, 1, 1070, 45), (-1, 1, 1071, 46), (-1, 1, 1072, 48), (-1, 1, 1073, 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Rotation of photo 1003369118 of 90 degree
temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ae50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ac70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ac10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20adc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ae20>] 90
 remove_crop_border : False
version de PIL : 9.5.0
Needs to change image size !
[[ 6.123234e-17  1.000000e+00]
 [-1.000000e+00  6.123234e-17]]
90
[[ 6.123234e-17  1.000000e+00]
 [-1.000000e+00  6.123234e-17]]
 shrink_image : False
 len(list_crops) : 16
time for calcul the mask position with numpy : 0.011327743530273438
nb_pixel_total : 110633
time to create 1 rle with old method : 0.14997529983520508
.time for calcul the mask position with numpy : 0.009786605834960938
nb_pixel_total : 15826
time to create 1 rle with old method : 0.018779277801513672
.time for calcul the mask position with numpy : 0.010448455810546875
nb_pixel_total : 5286
time to create 1 rle with old method : 0.0071675777435302734
.time for calcul the mask position with numpy : 0.00919961929321289
nb_pixel_total : 1633
time to create 1 rle with old method : 0.001967906951904297
.time for calcul the mask position with numpy : 0.009454011917114258
nb_pixel_total : 105533
time to create 1 rle with old method : 0.11911749839782715
.time for calcul the mask position with numpy : 0.009150028228759766
nb_pixel_total : 4393
time to create 1 rle with old method : 0.005812406539916992
.time for calcul the mask position with numpy : 0.009940385818481445
nb_pixel_total : 632
time to create 1 rle with old method : 0.0007393360137939453
.time for calcul the mask position with numpy : 0.015450239181518555
nb_pixel_total : 62627
time to create 1 rle with old method : 0.0891561508178711
.time for calcul the mask position with numpy : 0.012516975402832031
nb_pixel_total : 33681
time to create 1 rle with old method : 0.05826878547668457
.time for calcul the mask position with numpy : 0.01038813591003418
nb_pixel_total : 37724
time to create 1 rle with old method : 0.04501223564147949
.time for calcul the mask position with numpy : 0.009385347366333008
nb_pixel_total : 48775
time to create 1 rle with old method : 0.054326534271240234
.time for calcul the mask position with numpy : 0.04627704620361328
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.4384891986846924
.time for calcul the mask position with numpy : 0.009367227554321289
nb_pixel_total : 2310
time to create 1 rle with old method : 0.002822399139404297
.time for calcul the mask position with numpy : 0.009703874588012695
nb_pixel_total : 2256
time to create 1 rle with old method : 0.0025272369384765625
.time for calcul the mask position with numpy : 0.00963139533996582
nb_pixel_total : 3112
time to create 1 rle with old method : 0.0034983158111572266
.time for calcul the mask position with numpy : 0.010453462600708008
nb_pixel_total : 1662
time to create 1 rle with old method : 0.0018863677978515625
.len(list_crops_rotate) : 16
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Rotation of photo 1003369118 of 180 degree
temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ae50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ac70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ac10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20adc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ae20>] 180
 remove_crop_border : False
version de PIL : 9.5.0
[[-1.0000000e+00  1.2246468e-16]
 [-1.2246468e-16 -1.0000000e+00]]
180
[[-1.0000000e+00  1.2246468e-16]
 [-1.2246468e-16 -1.0000000e+00]]
 shrink_image : False
 len(list_crops) : 16
time for calcul the mask position with numpy : 0.01043558120727539
nb_pixel_total : 110633
time to create 1 rle with old method : 0.13657116889953613
.time for calcul the mask position with numpy : 0.01033926010131836
nb_pixel_total : 15826
time to create 1 rle with old method : 0.018172740936279297
.time for calcul the mask position with numpy : 0.009781360626220703
nb_pixel_total : 5286
time to create 1 rle with old method : 0.005914449691772461
.time for calcul the mask position with numpy : 0.013072729110717773
nb_pixel_total : 1633
time to create 1 rle with old method : 0.0034024715423583984
.time for calcul the mask position with numpy : 0.0188901424407959
nb_pixel_total : 105533
time to create 1 rle with old method : 0.12012410163879395
.time for calcul the mask position with numpy : 0.010139942169189453
nb_pixel_total : 4393
time to create 1 rle with old method : 0.0051097869873046875
.time for calcul the mask position with numpy : 0.014675378799438477
nb_pixel_total : 632
time to create 1 rle with old method : 0.0011878013610839844
.time for calcul the mask position with numpy : 0.01966071128845215
nb_pixel_total : 62627
time to create 1 rle with old method : 0.0858612060546875
.time for calcul the mask position with numpy : 0.01096653938293457
nb_pixel_total : 33681
time to create 1 rle with old method : 0.03853178024291992
.time for calcul the mask position with numpy : 0.010953664779663086
nb_pixel_total : 37724
time to create 1 rle with old method : 0.04427504539489746
.time for calcul the mask position with numpy : 0.012277364730834961
nb_pixel_total : 48775
time to create 1 rle with old method : 0.06042814254760742
.time for calcul the mask position with numpy : 0.06204700469970703
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.31937456130981445
.time for calcul the mask position with numpy : 0.010416030883789062
nb_pixel_total : 2310
time to create 1 rle with old method : 0.0024712085723876953
.time for calcul the mask position with numpy : 0.009738445281982422
nb_pixel_total : 2256
time to create 1 rle with old method : 0.0026345252990722656
.time for calcul the mask position with numpy : 0.010482549667358398
nb_pixel_total : 3112
time to create 1 rle with old method : 0.00397038459777832
.time for calcul the mask position with numpy : 0.009821414947509766
nb_pixel_total : 1662
time to create 1 rle with old method : 0.001986265182495117
.len(list_crops_rotate) : 16
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Rotation of photo 1003369118 of 270 degree
temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ae50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ac70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ac10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20adc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ae20>] 270
 remove_crop_border : False
version de PIL : 9.5.0
Needs to change image size !
[[-1.8369702e-16 -1.0000000e+00]
 [ 1.0000000e+00 -1.8369702e-16]]
270
[[-1.8369702e-16 -1.0000000e+00]
 [ 1.0000000e+00 -1.8369702e-16]]
 shrink_image : False
 len(list_crops) : 16
time for calcul the mask position with numpy : 0.010782480239868164
nb_pixel_total : 110633
time to create 1 rle with old method : 0.12391924858093262
.time for calcul the mask position with numpy : 0.010422706604003906
nb_pixel_total : 15826
time to create 1 rle with old method : 0.0188753604888916
.time for calcul the mask position with numpy : 0.009723424911499023
nb_pixel_total : 5286
time to create 1 rle with old method : 0.006306648254394531
.time for calcul the mask position with numpy : 0.010067462921142578
nb_pixel_total : 1633
time to create 1 rle with old method : 0.0019116401672363281
.time for calcul the mask position with numpy : 0.01066732406616211
nb_pixel_total : 105533
time to create 1 rle with old method : 0.11055278778076172
.time for calcul the mask position with numpy : 0.010931015014648438
nb_pixel_total : 4393
time to create 1 rle with old method : 0.005057096481323242
.time for calcul the mask position with numpy : 0.009442806243896484
nb_pixel_total : 632
time to create 1 rle with old method : 0.0007779598236083984
.time for calcul the mask position with numpy : 0.010149717330932617
nb_pixel_total : 62627
time to create 1 rle with old method : 0.06778907775878906
.time for calcul the mask position with numpy : 0.010420799255371094
nb_pixel_total : 33681
time to create 1 rle with old method : 0.03546476364135742
.time for calcul the mask position with numpy : 0.010933876037597656
nb_pixel_total : 37724
time to create 1 rle with old method : 0.04226565361022949
.time for calcul the mask position with numpy : 0.010383129119873047
nb_pixel_total : 48775
time to create 1 rle with old method : 0.052980899810791016
.time for calcul the mask position with numpy : 0.04674267768859863
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.1702115535736084
.time for calcul the mask position with numpy : 0.009323835372924805
nb_pixel_total : 2310
time to create 1 rle with old method : 0.0028324127197265625
.time for calcul the mask position with numpy : 0.009371519088745117
nb_pixel_total : 2256
time to create 1 rle with old method : 0.002686023712158203
.time for calcul the mask position with numpy : 0.009024381637573242
nb_pixel_total : 3112
time to create 1 rle with old method : 0.003710508346557617
.time for calcul the mask position with numpy : 0.009724140167236328
nb_pixel_total : 1662
time to create 1 rle with old method : 0.0020148754119873047
.len(list_crops_rotate) : 16
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0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 139, 'x1': 204, 'y0': 1112, 'y1': 1199, 'score': 1.0, 'id': None, 'points': ['180,1111,176,1122,158,1126,158,1143,158,1152,147,1171,138,1183,141,1197,155,1198,164,1195,171,1191,182,1177,203,1150,203,1144,198,1134,195,1125,189,1117'], 'sub_photo_id': 0, 'rles': [(-1, 181, 1112, 1), (-1, 181, 1113, 3), (-1, 180, 1114, 5), (-1, 180, 1115, 7), (-1, 180, 1116, 8), (-1, 179, 1117, 11), (-1, 179, 1118, 12), (-1, 178, 1119, 14), (-1, 178, 1120, 14), (-1, 178, 1121, 15), (-1, 177, 1122, 17), (-1, 175, 1123, 20), (-1, 171, 1124, 24), (-1, 166, 1125, 30), (-1, 162, 1126, 35), (-1, 159, 1127, 38), (-1, 159, 1128, 39), (-1, 159, 1129, 39), (-1, 159, 1130, 39), (-1, 159, 1131, 40), (-1, 159, 1132, 40), (-1, 159, 1133, 40), (-1, 159, 1134, 41), (-1, 159, 1135, 41), (-1, 159, 1136, 41), (-1, 159, 1137, 42), (-1, 159, 1138, 42), (-1, 159, 1139, 43), (-1, 159, 1140, 43), (-1, 159, 1141, 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(-1, 567, 334, 37), (-1, 566, 335, 38), (-1, 564, 336, 40), (-1, 563, 337, 41), (-1, 562, 338, 43), (-1, 561, 339, 44), (-1, 559, 340, 46), (-1, 558, 341, 48), (-1, 557, 342, 49), (-1, 555, 343, 51), (-1, 554, 344, 52), (-1, 553, 345, 54), (-1, 552, 346, 55), (-1, 550, 347, 56), (-1, 549, 348, 25), (-1, 575, 348, 29), (-1, 548, 349, 24), (-1, 576, 349, 27), (-1, 546, 350, 25), (-1, 577, 350, 24), (-1, 545, 351, 24), (-1, 578, 351, 22), (-1, 544, 352, 24), (-1, 579, 352, 19), (-1, 542, 353, 24), (-1, 580, 353, 16), (-1, 541, 354, 23), (-1, 581, 354, 11), (-1, 540, 355, 23), (-1, 582, 355, 7), (-1, 539, 356, 22), (-1, 583, 356, 2), (-1, 537, 357, 23), (-1, 536, 358, 22), (-1, 535, 359, 22), (-1, 533, 360, 22), (-1, 532, 361, 22), (-1, 531, 362, 21), (-1, 532, 363, 19), (-1, 532, 364, 17), (-1, 533, 365, 15), (-1, 534, 366, 12), (-1, 534, 367, 10), (-1, 535, 368, 8), (-1, 536, 369, 5), (-1, 536, 370, 4), (-1, 537, 371, 1)], 'hashtag': '', 'sum_segment': 0}

About to upload 4 photos
upload in portfolio : 20847129
init cache_photo without model_param  
we have 4 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1740584581_3116993
we have uploaded 4 photos in the portfolio 20847129

time of upload the photos Elapsed time : 1.3953137397766113

 map_filename_photo_id : 4
 map_filename_photo_id : {'temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_658263370.jpg': 1339751753, 'temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_6582633790.jpg': 1339751755, 'temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337180.jpg': 1339751759, 'temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337270.jpg': 1339751762}
Len new_chis : 4
Len list_new_chi_with_photo_id : 64 of type : 3230
 list_new_chi_with_photo_id : [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ac40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a9a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a1c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ab80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a6d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aaf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aa30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aa60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20abb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a2b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20af70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a5b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20afd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ae80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aa00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a3a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a7f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20adf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a0a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c48168d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20acd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee8e3730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee8e3a60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c481689a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c48168ca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c48168a30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c48168a00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29cdc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c4c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c7c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29ca00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c6a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29cb80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c1f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c7f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29ca60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29cca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29cfa0>]
batch 1
Loaded 64 chid ids of type : 3230
Number RLEs to save : 24654
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 64 chid ids of type : 3230
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 64 chid ids of type : 3230
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
batch 1
Loaded 64 chid ids of type : 3230
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 21.1203396320343
time spend to save output : 0.00017905235290527344
total time spend for step 1 : 21.120518684387207

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {1339751753: ['1003369118', 'temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_658263370.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ac40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a9a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a1c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ab80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a6d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aaf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aa30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aa60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20abb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a2b0>]], 1339751755: ['1003369118', 'temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_6582633790.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20af70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a5b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20afd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ae80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20aa00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a3a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a790>]], 1339751759: ['1003369118', 'temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337180.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a7f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20adf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20ad00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20a0a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c48168d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c20acd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee8e3730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2bee8e3a60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c481689a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c48168ca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c48168a30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c48168a00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29cdc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c4c0>]], 1339751762: ['1003369118', 'temp/1740584563_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337270.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c7c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29ca00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c6a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29cb80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c1f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c7f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29ca60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29cca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29c640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c29cfa0>]]}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1339751753,1339751755,1339751759,1339751762) and `type` in (3230) 
Loaded 64 chid ids of type : 3230
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (3687656155,3687656159,3687656156,3687656170,3687656157,3687656158,3687656166,3687656162,3687656160,3687656164,3687656161,3687656165,3687656163,3687656168,3687656169,3687656167,3687656175,3687656182,3687656172,3687656173,3687656181,3687656186,3687656178,3687656174,3687656171,3687656180,3687656177,3687656176,3687656179,3687656184,3687656183,3687656185,3687656198,3687656197,3687656196,3687656193,3687656194,3687656192,3687656191,3687656189,3687656187,3687656190,3687656202,3687656188,3687656195,3687656199,3687656201,3687656200,3687656203,3687656210,3687656214,3687656212,3687656208,3687656209,3687656213,3687656206,3687656218,3687656204,3687656205,3687656207,3687656211,3687656217,3687656215,3687656216)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3687656155,3687656159,3687656156,3687656170,3687656157,3687656158,3687656166,3687656162,3687656160,3687656164,3687656161,3687656165,3687656163,3687656168,3687656169,3687656167,3687656175,3687656182,3687656172,3687656173,3687656181,3687656186,3687656178,3687656174,3687656171,3687656180,3687656177,3687656176,3687656179,3687656184,3687656183,3687656185,3687656198,3687656197,3687656196,3687656193,3687656194,3687656192,3687656191,3687656189,3687656187,3687656190,3687656202,3687656188,3687656195,3687656199,3687656201,3687656200,3687656203,3687656210,3687656214,3687656212,3687656208,3687656209,3687656213,3687656206,3687656218,3687656204,3687656205,3687656207,3687656211,3687656217,3687656215,3687656216)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3687656155,3687656159,3687656156,3687656170,3687656157,3687656158,3687656166,3687656162,3687656160,3687656164,3687656161,3687656165,3687656163,3687656168,3687656169,3687656167,3687656175,3687656182,3687656172,3687656173,3687656181,3687656186,3687656178,3687656174,3687656171,3687656180,3687656177,3687656176,3687656179,3687656184,3687656183,3687656185,3687656198,3687656197,3687656196,3687656193,3687656194,3687656192,3687656191,3687656189,3687656187,3687656190,3687656202,3687656188,3687656195,3687656199,3687656201,3687656200,3687656203,3687656210,3687656214,3687656212,3687656208,3687656209,3687656213,3687656206,3687656218,3687656204,3687656205,3687656207,3687656211,3687656217,3687656215,3687656216)
fin du test de rotate_chi
Ayatollah of tests excluded it ! (Bon le prochain developpeur qui passe ici peut enlever ayatollah VR 11-2-21)
 name : rubbia_carac_pet_clair_0121 not run because too long 

############################### TEST rubbia_carac_pet_clair_0121_no_cnn  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2719

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=2719
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 2719
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=2719
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 6479 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 6480 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7445 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 6509 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 6479 doesn't seem to be define in the database(
WARNING : type of input 1 of step 6480 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 6479 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7445 doesn't seem to be define in the database(
WARNING : type of output 1 of step 7445 doesn't seem to be define in the database(
WARNING : type of input 3 of step 6509 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : merge_mask_thcl_custom, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3373196) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3373196)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1009068724, 'portfolio_id': 3373196}, {'photo_id': 1009068683, 'portfolio_id': 3373196}]
 map_portfolio_id_photo_id: {3373196: [1009068724, 1009068683]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1009068724
begin to download photo : 1009068683
download finish for photo 1009068683
download finish for photo 1009068724
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 2 ; length of list_pids : 2 ; length of list_args : 2
##### After load_data_input 
time to download the photos : 0.32486701011657715
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  4
step1:merge_mask_thcl_custom
Wed Feb 26 16:43:05 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1740584585_3116993_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724}
map_photo_id_path_extension : {1009068683: {'path': 'temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1740584585_3116993_1009068724_3e705379f97632c4a2fd676e348a335d.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step merge_mask_thcl_custom
args ['temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'temp/1740584585_3116993_1009068724_3e705379f97632c4a2fd676e348a335d.jpg']
processing picture : temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg
processing picture : temp/1740584585_3116993_1009068724_3e705379f97632c4a2fd676e348a335d.jpg
map_subphoto_result {}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1009068683,1009068724) and `type` in (2800) 
Loaded 82 chid ids of type : 2800
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1941272807,1941272792,1941272797,1941272801,1941272788,1941272813,1941272802,1941272799,1941272815,1941272809,1941272786,1941272808,1941272791,1941272816,1941272796,1941272811,1941272817,1941272810,1941272814,1941272793,1941272803,1941272804,1941272805,1941272781,1941272789,1941272798,1941272812,1941272800,1941272784,1941272782,1941272794,1941272795,1941272806,1941272785,1941272790,1941272783,1941272787,1941270022,1941270015,1941270036,1941270021,1941270029,1941270018,1941270017,1941270025,1941607383,1941270019,1941270038,1941270040,1941270014,1941270039,1941270020,1941270030,1941270033,1941270028,1941270027,1941270026,1941270032,1941270031,1941270035,1941270037,1941270041,1941270012,1941270013,1941607380,1941607381,2202875936,1941270008,1941270016,1941607382,1941270034,2202875937,1941270010,1941270005,1941270007,1941270024,1941270011,2202875938,1941270023,1941607379,1941270006,1941270009)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1941272807,1941272792,1941272797,1941272801,1941272788,1941272813,1941272802,1941272799,1941272815,1941272809,1941272786,1941272808,1941272791,1941272816,1941272796,1941272811,1941272817,1941272810,1941272814,1941272793,1941272803,1941272804,1941272805,1941272781,1941272789,1941272798,1941272812,1941272800,1941272784,1941272782,1941272794,1941272795,1941272806,1941272785,1941272790,1941272783,1941272787,1941270022,1941270015,1941270036,1941270021,1941270029,1941270018,1941270017,1941270025,1941607383,1941270019,1941270038,1941270040,1941270014,1941270039,1941270020,1941270030,1941270033,1941270028,1941270027,1941270026,1941270032,1941270031,1941270035,1941270037,1941270041,1941270012,1941270013,1941607380,1941607381,2202875936,1941270008,1941270016,1941607382,1941270034,2202875937,1941270010,1941270005,1941270007,1941270024,1941270011,2202875938,1941270023,1941607379,1941270006,1941270009)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1941272807,1941272792,1941272797,1941272801,1941272788,1941272813,1941272802,1941272799,1941272815,1941272809,1941272786,1941272808,1941272791,1941272816,1941272796,1941272811,1941272817,1941272810,1941272814,1941272793,1941272803,1941272804,1941272805,1941272781,1941272789,1941272798,1941272812,1941272800,1941272784,1941272782,1941272794,1941272795,1941272806,1941272785,1941272790,1941272783,1941272787,1941270022,1941270015,1941270036,1941270021,1941270029,1941270018,1941270017,1941270025,1941607383,1941270019,1941270038,1941270040,1941270014,1941270039,1941270020,1941270030,1941270033,1941270028,1941270027,1941270026,1941270032,1941270031,1941270035,1941270037,1941270041,1941270012,1941270013,1941607380,1941607381,2202875936,1941270008,1941270016,1941607382,1941270034,2202875937,1941270010,1941270005,1941270007,1941270024,1941270011,2202875938,1941270023,1941607379,1941270006,1941270009)
As expected we have just one thcl present
processing picture : 1009068683


begin to find the sub_photo_id : 

        select crop_hashtag_id , sub_photo_id from MTRPhoto.crop_sub_photo_ids where crop_hashtag_id in (1941272807,1941272792,1941272797,1941272801,1941272788,1941272813,1941272802,1941272799,1941272815,1941272809,1941272786,1941272808,1941272791,1941272816,1941272796,1941272811,1941272817,1941272810,1941272814,1941272793,1941272803,1941272804,1941272805,1941272781,1941272789,1941272798,1941272812,1941272800,1941272784,1941272782,1941272794,1941272795,1941272806,1941272785,1941272790,1941272783,1941272787) ;
        
chi 1941272807 saved with no changes
chi 1941272792 saved with no changes
chi 1941272797 saved with no changes
chi 1941272801 saved with no changes
chi 1941272788 saved with no changes
chi 1941272813 saved with no changes
chi 1941272802 saved with no changes
chi 1941272799 saved with no changes
chi 1941272815 saved with no changes
chi 1941272809 saved with no changes
chi 1941272786 saved with no changes
chi 1941272808 saved with no changes
chi 1941272791 saved with no changes
select cps.photo_id, cps.thcl, h.hashtag, avg(cps.score), p.text,cps.hashtag_id FROM MTRPhoto.class_photo_score cps 
          inner join MTRBack.hashtags h on h.hashtag_id = cps.hashtag_id inner join MTRBack.photos p on cps.photo_id = p.photo_id
          where cps.photo_id in(1009071263,1009221813,1009235446,1009235446,1009279340,1009279356,1009280654,1009282603,1009285753,1009285765,1009287138,1009288503,1009288546,1009289519,1009290969,1009291015,1009292124,1009293463,1009293494,1009302642,1009302924,1009314298,1009325392,1009325685,1009331808,1009337442,1009343208,1009348717,1009360426,1009360710,1009366170,1009370139,1009378373,1009378413,1009382207,1009387316,1009387465,1009397637,1009397719,1009407253,1009418244,1009418926,1009427413,1009430107,1009431383,1009433078,1009433144,1009434053,1009434384,1009434694,1009435681,1009436481,1009436964,1009437043,1009437239,1009438334,1009438590,1009440272,1009440278,1009442464,1009442509,1009442528,1009444076,1009444130,1009445413,1009445538,1009446902,1009448266,1009448396,1009449789,1009451629,1009451631,1009451750,1009452461,1009452961,1009452979,1009454196,1009454247,1009454337,1009455534,1009457025,1009457032,1009457228,1009460750,1009460967,1009466377,1009466452,1009467101,1009471967,1009472268,1009477695,1009478118,1009481722,1009482987,1009487453,1009487657,1009487950,1009489088,1009489218,1009489308,1009490315,1009490479,1009495060,1009495488,1009498944,1009500499,1009500766,1009506264,1009506270,1009506275,1009506746,1009509720,1009510178,1009511663,1009517339,1009517535,1009517849,1009521436,1009521607,1009525340,1009525354,1009525617,1009528261,1009529525,1009533039,1009533043,1009533518,1009536205,1009540619,1009540774,1009541035,1009543634,1009544885,1009545316,1009549107,1009549847,1009551213,1009552745,1009553914,1009557764,1009558260,1009560600,1009562085,1009566563,1009567165,1009570167,1009571289,1009576217,1009576836,1009579452,1009580609,1009585073,1009585473,1009587840,1009589122,1009593908,1009596967,1009597989,1009602701,1009603252,1009605651,1009606591,1009610545,1009610907,1009612085,1009612622,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,1009612733,100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and thcl in (2444) group by h.hashtag order by cps.photo_id 
chi 1941272796 updated with thcls [2444]
select cps.photo_id, cps.thcl, h.hashtag, avg(cps.score), p.text,cps.hashtag_id FROM MTRPhoto.class_photo_score cps 
          inner join MTRBack.hashtags h on h.hashtag_id = cps.hashtag_id inner join MTRBack.photos p on cps.photo_id = p.photo_id
          where cps.photo_id in(1009071264,1009221814,1009235447,1009235447,1009279341,1009279357,1009280655,1009282604,1009285754,1009285766,1009287139,1009288504,1009288547,1009289520,1009290970,1009291016,1009292125,1009293464,1009293495,1009302643,1009302925,1009314299,1009325393,1009325686,1009331809,1009337443,1009343209,1009348718,1009360428,1009360711,1009366171,1009370140,1009378374,1009378414,1009382208,1009387317,1009387466,1009397639,1009397720,1009407254,1009418245,1009418927,1009427414,1009430108,1009431384,1009433079,1009433145,1009434054,1009434385,1009434695,1009435682,1009436482,1009436965,1009437044,1009437240,1009438336,1009438591,1009440273,1009440279,1009442465,1009442510,1009442529,1009444077,1009444131,1009445414,1009445539,1009446903,1009448267,1009448397,1009449790,1009451630,1009451632,1009451751,1009452462,1009452962,1009452980,1009454197,1009454248,1009454338,1009455535,1009457026,1009457033,1009457229,1009460751,1009460968,1009466378,1009466453,1009467102,1009471968,1009472269,1009477696,1009478120,1009481723,1009482988,1009487454,1009487658,1009487951,1009489089,1009489219,1009489309,1009490316,1009490480,1009495061,1009495489,1009498945,1009500500,1009500767,1009506265,1009506271,1009506276,1009506747,1009509721,1009510179,1009511664,1009517341,1009517536,1009517850,1009521437,1009521608,1009525341,1009525355,1009525618,1009528262,1009529526,1009533040,1009533045,1009533519,1009536206,1009540620,1009540775,1009541036,1009543635,1009544886,1009545317,1009549108,1009549848,1009551214,1009552746,1009553915,1009557765,1009558261,1009560601,1009562086,1009566564,1009567166,1009570168,1009571290,1009576219,1009576837,1009579453,1009580610,1009585074,1009585474,1009587841,1009589123,1009593909,1009596968,1009597990,1009602702,1009603253,1009605652,1009606592,1009610546,1009610908,1009612086,1009612623,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,1009612734,100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and thcl in (2444) group by h.hashtag order by cps.photo_id 
chi 1941272793 updated with thcls [2444]
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chi 1941272795 saved with no changes
chi 1941272806 saved with no changes
chi 1941272785 saved with no changes
chi 1941272790 saved with no changes
chi 1941272783 saved with no changes
chi 1941272787 saved with no changes
processing picture : 1009068724


begin to find the sub_photo_id : 

        select crop_hashtag_id , sub_photo_id from MTRPhoto.crop_sub_photo_ids where crop_hashtag_id in (1941270022,1941270015,1941270036,1941270021,1941270029,1941270018,1941270017,1941270025,1941607383,1941270019,1941270038,1941270040,1941270014,1941270039,1941270020,1941270030,1941270033,1941270028,1941270027,1941270026,1941270032,1941270031,1941270035,1941270037,1941270041,1941270012,1941270013,1941607380,1941607381,2202875936,1941270008,1941270016,1941607382,1941270034,2202875937,1941270010,1941270005,1941270007,1941270024,1941270011,2202875938,1941270023,1941607379,1941270006,1941270009) ;
        
chi 1941270022 saved with no changes
chi 1941270015 saved with no changes
chi 1941270036 saved with no changes
chi 1941270021 saved with no changes
chi 1941270029 saved with no changes
chi 1941270018 saved with no changes
chi 1941270017 saved with no changes
chi 1941270025 saved with no changes
chi 1941607383 saved with no changes
chi 1941270019 saved with no changes
chi 1941270038 saved with no changes
chi 1941270040 saved with no changes
chi 1941270014 saved with no changes
chi 1941270039 saved with no changes
chi 1941270020 saved with no changes
select cps.photo_id, cps.thcl, h.hashtag, avg(cps.score), p.text,cps.hashtag_id FROM MTRPhoto.class_photo_score cps 
          inner join MTRBack.hashtags h on h.hashtag_id = cps.hashtag_id inner join MTRBack.photos p on cps.photo_id = p.photo_id
          where cps.photo_id in(1009070856,1009221556,1009235000,1009235000,1009235000,1009279342,1009279352,1009280656,1009282608,1009285758,1009285767,1009287134,1009288505,1009288551,1009289512,1009290974,1009291020,1009292129,1009293459,1009293499,1009302644,1009302926,1009314291,1009325388,1009325687,1009331813,1009337444,1009343213,1009348719,1009360418,1009360712,1009366172,1009370141,1009378378,1009378418,1009382212,1009387309,1009387467,1009397623,1009397721,1009407255,1009418249,1009418931,1009427415,1009430103,1009431388,1009433083,1009433140,1009434049,1009434049,1009434049,1009434377,1009434377,1009434377,1009434690,1009434690,1009434690,1009435683,1009436483,1009436969,1009436969,1009436969,1009437039,1009437244,1009438330,1009438586,1009438586,1009438586,1009440274,1009440283,1009440274,1009440274,1009442466,1009442502,1009442533,1009442533,1009442533,1009444071,1009444126,1009444126,1009444126,1009445418,1009445543,1009446898,1009446898,1009446898,1009448271,1009448392,1009448392,1009448392,1009449794,1009449794,1009449794,1009451625,1009451636,1009451746,1009451746,1009451746,1009452466,1009452466,1009452466,1009452957,1009452957,1009452957,1009452981,1009454192,1009454249,1009454339,1009454339,1009454339,1009455527,1009457021,1009457034,1009457224,1009457224,1009457224,1009460746,1009460746,1009460746,1009460963,1009466379,1009466448,1009467103,1009467103,1009467103,1009471963,1009471963,1009471963,1009472264,1009477697,1009478110,1009478110,1009478110,1009481715,1009481715,1009481715,1009482983,1009482983,1009482983,1009487455,1009487650,1009487952,1009487952,1009487952,1009489081,1009489223,1009489310,1009489310,1009489310,1009490311,1009490311,1009490311,1009490481,1009495056,1009495484,1009495484,1009495484,1009498949,1009498949,1009498949,1009500504,1009500504,1009500504,1009500755,1009506260,1009506266,1009506266,1009506280,1009506742,1009506742,1009506742,1009509716,1009510174,1009510174,1009510174,1009511665,1009511665,1009511665,1009517335,1009517537,1009517845,1009517845,1009517845,1009521429,1009521429,1009521429,1009521603,1009525336,1009525350,1009525619,1009525619,1009525619,1009528263,1009529518,1009529518,1009529518,1009533041,1009533047,1009533520,1009533520,1009533520,1009536210,1009536210,1009536210,1009540621,1009540767,1009541040,1009541040,1009541040,1009543630,1009543630,1009543630,1009544881,1009545318,1009545318,1009545318,1009549109,1009549843,1009549843,1009549843,1009551218,1009551218,1009551218,1009552741,1009553916,1009553916,1009553916,1009557766,1009558262,1009558262,1009558262,1009560602,1009560602,1009560602,1009562081,1009562081,1009562081,1009566559,1009567161,1009567161,1009567161,1009570163,1009571294,1009571294,1009571294,1009576213,1009576838,1009576838,1009576838,1009579448,1009579448,1009579448,1009580611,1009580611,1009580611,1009585078,1009585478,1009585478,1009585478,1009587842,1009589124,1009589124,1009589124,1009593904,1009596963,1009597982,1009597982,1009597982,1009602703,1009603248,1009603248,1009603248,1009605647,1009605647,1009605647,1009606587,1009606587,1009606587,1009610541,1009610909,1009610909,1009610909,1009612090,1009612090,1009612090,1009612624,1009612624,1009612624,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,1009612726,100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and thcl in (2444) group by h.hashtag order by cps.photo_id 
chi 1941270030 updated with thcls [2444]
select cps.photo_id, cps.thcl, h.hashtag, avg(cps.score), p.text,cps.hashtag_id FROM MTRPhoto.class_photo_score cps 
          inner join MTRBack.hashtags h on h.hashtag_id = cps.hashtag_id inner join MTRBack.photos p on cps.photo_id = p.photo_id
          where cps.photo_id in(1009070857,1009221557,1009235001,1009235001,1009235001,1009279343,1009279353,1009280657,1009282609,1009285759,1009285768,1009287135,1009288506,1009288552,1009289513,1009290975,1009291021,1009292130,1009293460,1009293500,1009302645,1009302927,1009314292,1009325389,1009325688,1009331814,1009337445,1009343214,1009348720,1009360419,1009360713,1009366173,1009370142,1009378379,1009378419,1009382213,1009387310,1009387468,1009397625,1009397722,1009407256,1009418250,1009418932,1009427416,1009430104,1009431389,1009433084,1009433141,1009434050,1009434050,1009434050,1009434378,1009434378,1009434378,1009434691,1009434691,1009434691,1009435684,1009436484,1009436970,1009436970,1009436970,1009437040,1009437245,1009438331,1009438587,1009438587,1009438587,1009440275,1009440284,1009440275,1009440275,1009442467,1009442503,1009442534,1009442534,1009442534,1009444072,1009444127,1009444127,1009444127,1009445419,1009445544,1009446899,1009446899,1009446899,1009448272,1009448393,1009448393,1009448393,1009449795,1009449795,1009449795,1009451626,1009451637,1009451747,1009451747,1009451747,1009452467,1009452467,1009452467,1009452958,1009452958,1009452958,1009452982,1009454193,1009454250,1009454340,1009454340,1009454340,1009455528,1009457022,1009457035,1009457225,1009457225,1009457225,1009460747,1009460747,1009460747,1009460964,1009466380,1009466449,1009467104,1009467104,1009467104,1009471964,1009471964,1009471964,1009472265,1009477698,1009478112,1009478112,1009478112,1009481716,1009481716,1009481716,1009482984,1009482984,1009482984,1009487456,1009487651,1009487953,1009487953,1009487953,1009489082,1009489224,1009489311,1009489311,1009489311,1009490312,1009490312,1009490312,1009490482,1009495057,1009495485,1009495485,1009495485,1009498950,1009498950,1009498950,1009500505,1009500505,1009500505,1009500757,1009506261,1009506267,1009506267,1009506281,1009506743,1009506743,1009506743,1009509717,1009510175,1009510175,1009510175,1009511666,1009511666,1009511666,1009517336,1009517538,1009517846,1009517846,1009517846,1009521430,1009521430,1009521430,1009521604,1009525337,1009525351,1009525620,1009525620,1009525620,1009528264,1009529519,1009529519,1009529519,1009533042,1009533049,1009533521,1009533521,1009533521,1009536211,1009536211,1009536211,1009540622,1009540768,1009541041,1009541041,1009541041,1009543631,1009543631,1009543631,1009544882,1009545319,1009545319,1009545319,1009549110,1009549844,1009549844,1009549844,1009551219,1009551219,1009551219,1009552742,1009553917,1009553917,1009553917,1009557767,1009558263,1009558263,1009558263,1009560603,1009560603,1009560603,1009562082,1009562082,1009562082,1009566560,1009567162,1009567162,1009567162,1009570164,1009571295,1009571295,1009571295,1009576214,1009576839,1009576839,1009576839,1009579449,1009579449,1009579449,1009580612,1009580612,1009580612,1009585079,1009585479,1009585479,1009585479,1009587843,1009589125,1009589125,1009589125,1009593905,1009596964,1009597983,1009597983,1009597983,1009602704,1009603249,1009603249,1009603249,1009605648,1009605648,1009605648,1009606588,1009606588,1009606588,1009610542,1009610910,1009610910,1009610910,1009612091,1009612091,1009612091,1009612625,1009612625,1009612625,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,1009612727,100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and thcl in (2444) group by h.hashtag order by cps.photo_id 
chi 1941270028 updated with thcls [2444]
select cps.photo_id, cps.thcl, h.hashtag, avg(cps.score), p.text,cps.hashtag_id FROM MTRPhoto.class_photo_score cps 
          inner join MTRBack.hashtags h on h.hashtag_id = cps.hashtag_id inner join MTRBack.photos p on cps.photo_id = p.photo_id
          where cps.photo_id in(1009070858,1009221558,1009235002,1009235002,1009235002,1009279344,1009279354,1009280658,1009282610,1009285760,1009285769,1009287136,1009288507,1009288553,1009289514,1009290976,1009291022,1009292131,1009293461,1009293501,1009302646,1009302928,1009314293,1009325390,1009325689,1009331815,1009337446,1009343215,1009348721,1009360422,1009360714,1009366174,1009370143,1009378380,1009378420,1009382214,1009387311,1009387469,1009397627,1009397723,1009407257,1009418251,1009418933,1009427417,1009430105,1009431390,1009433085,1009433142,1009434051,1009434051,1009434051,1009434379,1009434379,1009434379,1009434692,1009434692,1009434692,1009435685,1009436485,1009436971,1009436971,1009436971,1009437041,1009437246,1009438332,1009438588,1009438588,1009438588,1009440276,1009440285,1009440276,1009440276,1009442468,1009442504,1009442535,1009442535,1009442535,1009444074,1009444128,1009444128,1009444128,1009445420,1009445545,1009446900,1009446900,1009446900,1009448273,1009448394,1009448394,1009448394,1009449796,1009449796,1009449796,1009451627,1009451638,1009451748,1009451748,1009451748,1009452468,1009452468,1009452468,1009452959,1009452959,1009452959,1009452983,1009454194,1009454251,1009454341,1009454341,1009454341,1009455529,1009457023,1009457036,1009457226,1009457226,1009457226,1009460748,1009460748,1009460748,1009460965,1009466381,1009466450,1009467105,1009467105,1009467105,1009471965,1009471965,1009471965,1009472266,1009477701,1009478114,1009478114,1009478114,1009481717,1009481717,1009481717,1009482985,1009482985,1009482985,1009487457,1009487652,1009487954,1009487954,1009487954,1009489083,1009489225,1009489312,1009489312,1009489312,1009490313,1009490313,1009490313,1009490483,1009495058,1009495486,1009495486,1009495486,1009498951,1009498951,1009498951,1009500506,1009500506,1009500506,1009500759,1009506262,1009506268,1009506268,1009506282,1009506744,1009506744,1009506744,1009509718,1009510176,1009510176,1009510176,1009511667,1009511667,1009511667,1009517337,1009517539,1009517847,1009517847,1009517847,1009521431,1009521431,1009521431,1009521605,1009525338,1009525352,1009525621,1009525621,1009525621,1009528265,1009529520,1009529520,1009529520,1009533044,1009533051,1009533522,1009533522,1009533522,1009536212,1009536212,1009536212,1009540623,1009540769,1009541042,1009541042,1009541042,1009543632,1009543632,1009543632,1009544883,1009545320,1009545320,1009545320,1009549111,1009549845,1009549845,1009549845,1009551220,1009551220,1009551220,1009552743,1009553918,1009553918,1009553918,1009557768,1009558264,1009558264,1009558264,1009560604,1009560604,1009560604,1009562083,1009562083,1009562083,1009566561,1009567163,1009567163,1009567163,1009570165,1009571296,1009571296,1009571296,1009576215,1009576840,1009576840,1009576840,1009579450,1009579450,1009579450,1009580613,1009580613,1009580613,1009585080,1009585480,1009585480,1009585480,1009587844,1009589126,1009589126,1009589126,1009593906,1009596965,1009597984,1009597984,1009597984,1009602705,1009603250,1009603250,1009603250,1009605649,1009605649,1009605649,1009606589,1009606589,1009606589,1009610543,1009610911,1009610911,1009610911,1009612092,1009612092,1009612092,1009612626,1009612626,1009612626,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,1009612728,100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and thcl in (2444) group by h.hashtag order by cps.photo_id 
chi 1941270027 updated with thcls [2444]
select cps.photo_id, cps.thcl, h.hashtag, avg(cps.score), p.text,cps.hashtag_id FROM MTRPhoto.class_photo_score cps 
          inner join MTRBack.hashtags h on h.hashtag_id = cps.hashtag_id inner join MTRBack.photos p on cps.photo_id = p.photo_id
          where cps.photo_id in(1009070859,1009221559,1009235003,1009235003,1009235003,1009279345,1009279355,1009280659,1009282611,1009285761,1009285770,1009287137,1009288508,1009288554,1009289515,1009290977,1009291023,1009292132,1009293462,1009293502,1009302647,1009302929,1009314294,1009325391,1009325690,1009331816,1009337447,1009343216,1009348722,1009360424,1009360715,1009366175,1009370144,1009378381,1009378421,1009382215,1009387312,1009387470,1009397629,1009397724,1009407258,1009418252,1009418934,1009427418,1009430106,1009431391,1009433086,1009433143,1009434052,1009434052,1009434052,1009434380,1009434380,1009434380,1009434693,1009434693,1009434693,1009435686,1009436486,1009436972,1009436972,1009436972,1009437042,1009437247,1009438333,1009438589,1009438589,1009438589,1009440277,1009440286,1009440277,1009440277,1009442469,1009442505,1009442536,1009442536,1009442536,1009444075,1009444129,1009444129,1009444129,1009445421,1009445547,1009446901,1009446901,1009446901,1009448274,1009448395,1009448395,1009448395,1009449797,1009449797,1009449797,1009451628,1009451639,1009451749,1009451749,1009451749,1009452469,1009452469,1009452469,1009452960,1009452960,1009452960,1009452984,1009454195,1009454252,1009454342,1009454342,1009454342,1009455530,1009457024,1009457037,1009457227,1009457227,1009457227,1009460749,1009460749,1009460749,1009460966,1009466382,1009466451,1009467106,1009467106,1009467106,1009471966,1009471966,1009471966,1009472267,1009477703,1009478116,1009478116,1009478116,1009481718,1009481718,1009481718,1009482986,1009482986,1009482986,1009487458,1009487653,1009487955,1009487955,1009487955,1009489084,1009489226,1009489313,1009489313,1009489313,1009490314,1009490314,1009490314,1009490484,1009495059,1009495487,1009495487,1009495487,1009498952,1009498952,1009498952,1009500507,1009500507,1009500507,1009500761,1009506263,1009506269,1009506269,1009506283,1009506745,1009506745,1009506745,1009509719,1009510177,1009510177,1009510177,1009511668,1009511668,1009511668,1009517338,1009517540,1009517848,1009517848,1009517848,1009521432,1009521432,1009521432,1009521606,1009525339,1009525353,1009525622,1009525622,1009525622,1009528266,1009529521,1009529521,1009529521,1009533046,1009533053,1009533523,1009533523,1009533523,1009536213,1009536213,1009536213,1009540624,1009540770,1009541043,1009541043,1009541043,1009543633,1009543633,1009543633,1009544884,1009545321,1009545321,1009545321,1009549112,1009549846,1009549846,1009549846,1009551221,1009551221,1009551221,1009552744,1009553919,1009553919,1009553919,1009557769,1009558265,1009558265,1009558265,1009560605,1009560605,1009560605,1009562084,1009562084,1009562084,1009566562,1009567164,1009567164,1009567164,1009570166,1009571297,1009571297,1009571297,1009576216,1009576841,1009576841,1009576841,1009579451,1009579451,1009579451,1009580614,1009580614,1009580614,1009585081,1009585481,1009585481,1009585481,1009587845,1009589127,1009589127,1009589127,1009593907,1009596966,1009597985,1009597985,1009597985,1009602706,1009603251,1009603251,1009603251,1009605650,1009605650,1009605650,1009606590,1009606590,1009606590,1009610544,1009610912,1009610912,1009610912,1009612093,1009612093,1009612093,1009612627,1009612627,1009612627,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,1009612729,100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and thcl in (2444) group by h.hashtag order by cps.photo_id 
chi 1941270026 updated with thcls [2444]
chi 1941270032 saved with no changes
chi 1941270031 saved with no changes
chi 1941270035 saved with no changes
chi 1941270037 saved with no changes
chi 1941270041 saved with no changes
chi 1941270012 saved with no changes
chi 1941270013 saved with no changes
chi 1941607380 saved with no changes
chi 1941607381 saved with no changes
chi 2202875936 saved with no changes
chi 1941270008 saved with no changes
chi 1941270016 saved with no changes
chi 1941607382 saved with no changes
chi 1941270034 saved with no changes
chi 2202875937 saved with no changes
chi 1941270010 saved with no changes
chi 1941270005 saved with no changes
chi 1941270007 saved with no changes
chi 1941270024 saved with no changes
chi 1941270011 saved with no changes
chi 2202875938 saved with no changes
chi 1941270023 saved with no changes
chi 1941607379 saved with no changes
chi 1941270006 saved with no changes
chi 1941270009 saved with no changes
76 crops to save
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 76 chid ids of type : 2913
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1009068683,1009068724) and `type` in (2913) 
Loaded 76 chid ids of type : 2913
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2099910103,2099910104,2099910105,2099910106,2099910107,2099910108,2099910109,2099910110,2099910111,2099910112,2099910113,2099910114,2099910115,2099910116,2099910117,2099910118,2099910119,2099910120,2099910121,2099910122,2099910123,2099910124,2099910125,2099910126,2099910127,2099910128,2099910129,2099910130,2099910131,2099910132,2099910133,2099910134,2099910135,2099910136,2099910137,2099910138,2099910139,2099910140,2099910141,2099910142,2099910143,2099910144,2099910145,2099910146,2099910147,2099910148,2099910149,2099910150,2099910151,2099910152,2099910153,2099910154,2099910155,2099910156,2099910157,2099910158,2099910159,2099910160,2099910161,2099910162,2202876163,2099910163,2099910164,2099910165,2099910166,2202876164,2099910167,2099910168,2099910169,2099910170,2099910171,2202876165,2099910172,2099910173,2099910174,2099910175)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2099910103,2099910104,2099910105,2099910106,2099910107,2099910108,2099910109,2099910110,2099910111,2099910112,2099910113,2099910114,2099910115,2099910116,2099910117,2099910118,2099910119,2099910120,2099910121,2099910122,2099910123,2099910124,2099910125,2099910126,2099910127,2099910128,2099910129,2099910130,2099910131,2099910132,2099910133,2099910134,2099910135,2099910136,2099910137,2099910138,2099910139,2099910140,2099910141,2099910142,2099910143,2099910144,2099910145,2099910146,2099910147,2099910148,2099910149,2099910150,2099910151,2099910152,2099910153,2099910154,2099910155,2099910156,2099910157,2099910158,2099910159,2099910160,2099910161,2099910162,2202876163,2099910163,2099910164,2099910165,2099910166,2202876164,2099910167,2099910168,2099910169,2099910170,2099910171,2202876165,2099910172,2099910173,2099910174,2099910175)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2099910103,2099910104,2099910105,2099910106,2099910107,2099910108,2099910109,2099910110,2099910111,2099910112,2099910113,2099910114,2099910115,2099910116,2099910117,2099910118,2099910119,2099910120,2099910121,2099910122,2099910123,2099910124,2099910125,2099910126,2099910127,2099910128,2099910129,2099910130,2099910131,2099910132,2099910133,2099910134,2099910135,2099910136,2099910137,2099910138,2099910139,2099910140,2099910141,2099910142,2099910143,2099910144,2099910145,2099910146,2099910147,2099910148,2099910149,2099910150,2099910151,2099910152,2099910153,2099910154,2099910155,2099910156,2099910157,2099910158,2099910159,2099910160,2099910161,2099910162,2202876163,2099910163,2099910164,2099910165,2099910166,2202876164,2099910167,2099910168,2099910169,2099910170,2099910171,2202876165,2099910172,2099910173,2099910174,2099910175)
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : [(2099910116, 1056231396, 0), (2099910117, 1056231397, 0), (2099910150, 1056231391, 0), (2099910151, 1056231392, 0), (2099910152, 1056231393, 0), (2099910153, 1056231395, 0)]
End of step merge_mask_thcl_custom

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 5.48858380317688
time spend to save output : 0.00011706352233886719
total time spend for step 1 : 5.488700866699219

step2:rle_unique_nms_with_priority
Wed Feb 26 16:43:10 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : ['temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'temp/1740584585_3116993_1009068724_3e705379f97632c4a2fd676e348a335d.jpg']
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : ['temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1740584585_3116993_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724}
map_photo_id_path_extension : {1009068683: {'path': 'temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1740584585_3116993_1009068724_3e705379f97632c4a2fd676e348a335d.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg
on traite la photo : temp/1740584585_3116993_1009068724_3e705379f97632c4a2fd676e348a335d.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1009068683,1009068724) and `type` in (2913) and hashtag_id in (2107755846,492636447,492645504,681467679) 
Loaded 43 chid ids of type : 2913
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2099910116,2099910118,2099910119,2099910120,2099910121,2099910122,2099910123,2099910124,2099910125,2099910126,2099910127,2099910128,2099910129,2099910130,2099910131,2099910132,2099910133,2099910134,2099910154,2099910155,2099910156,2099910157,2099910158,2099910159,2099910160,2099910161,2099910162,2202876163,2099910163,2099910164,2099910165,2099910166,2202876164,2099910167,2099910168,2099910169,2099910170,2099910171,2202876165,2099910172,2099910173,2099910174,2099910175)
+++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2099910116,2099910118,2099910119,2099910120,2099910121,2099910122,2099910123,2099910124,2099910125,2099910126,2099910127,2099910128,2099910129,2099910130,2099910131,2099910132,2099910133,2099910134,2099910154,2099910155,2099910156,2099910157,2099910158,2099910159,2099910160,2099910161,2099910162,2202876163,2099910163,2099910164,2099910165,2099910166,2202876164,2099910167,2099910168,2099910169,2099910170,2099910171,2202876165,2099910172,2099910173,2099910174,2099910175)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2099910116,2099910118,2099910119,2099910120,2099910121,2099910122,2099910123,2099910124,2099910125,2099910126,2099910127,2099910128,2099910129,2099910130,2099910131,2099910132,2099910133,2099910134,2099910154,2099910155,2099910156,2099910157,2099910158,2099910159,2099910160,2099910161,2099910162,2202876163,2099910163,2099910164,2099910165,2099910166,2202876164,2099910167,2099910168,2099910169,2099910170,2099910171,2202876165,2099910172,2099910173,2099910174,2099910175)
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 2.7826285362243652
create new chi : 6.0558319091796875e-05
 proportion hashtag : pet_clair 0.5317132844650205
 proportion hashtag : contaminant 0.002766525205761317
time to delete rle : 0.03296327590942383
save time : 2.7179718017578125e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 2.526172399520874
create new chi : 2.0742416381835938e-05
 proportion hashtag : pet_clair 0.5582751414609054
time to delete rle : 0.012825250625610352
save time : 6.9141387939453125e-06
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {1009068683: (0.002588053987919006, 'Should be the crop_list due to order', 0.005176107975838012), 1009068724: (0.002588053987919006, 'Should be the crop_list due to order', 0.0)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 5.533417463302612
time spend to save output : 0.00016379356384277344
total time spend for step 2 : 5.533581256866455

step3:ventilate_hashtags_in_portfolio
Wed Feb 26 16:43:16 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1740584585_3116993_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724}
map_photo_id_path_extension : {1009068683: {'path': 'temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1740584585_3116993_1009068724_3e705379f97632c4a2fd676e348a335d.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step ventilate_hashtags_in_portfolio : To implement !
Iterating over portfolio : 3373196
get user id for portfolio 3373196
get sub ptf for main ptf 3373196, type 2913 and hashtags []
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=3373196 AND  mptpi.`type`=2913 AND  mptpi.`min_score`=0.7
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=3373196 AND  mptpi.`type`=2913 AND  mptpi.`min_score`=0.7
To do
returned map {'bouchon': {'main_port_id': 3373196, 'sub_port_id': 3373210, 'hashtag': 'bouchon', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 408, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}, 'contaminant': {'main_port_id': 3373196, 'sub_port_id': 3373211, 'hashtag': 'contaminant', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 409, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}, 'environement': {'main_port_id': 3373196, 'sub_port_id': 3373212, 'hashtag': 'environement', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 410, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}, 'etiquette': {'main_port_id': 3373196, 'sub_port_id': 3373213, 'hashtag': 'etiquette', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 411, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}, 'mal_croppe': {'main_port_id': 3373196, 'sub_port_id': 3373214, 'hashtag': 'mal_croppe', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 412, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}, 'multiple_objets': {'main_port_id': 3373196, 'sub_port_id': 3373215, 'hashtag': 'multiple_objets', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 413, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}, 'pet_clair': {'main_port_id': 3373196, 'sub_port_id': 3373216, 'hashtag': 'pet_clair', 'pht': 2913, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 414, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 38, 28), 'last_updated_at_asc': datetime.datetime(2021, 1, 26, 13, 9, 50)}}
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373210 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='bouchon'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373211 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='contaminant'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373212 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='environement'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373213 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='etiquette'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373214 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='mal_croppe'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373215 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='multiple_objets'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3373216 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3373196
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=2913
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_clair'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.4976227283477783
time spend to save output : 5.698204040527344e-05
total time spend for step 3 : 0.4976797103881836

step4:final
Wed Feb 26 16:43:16 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
complete output_args for input 2 : {1009068683: (0.002588053987919006, 'Should be the crop_list due to order', 0.005176107975838012), 1009068724: (0.002588053987919006, 'Should be the crop_list due to order', 0.0)}
 input_args_next_step : {1009068683: ()}
 output_args : {1009068683: (0.002588053987919006, 'Should be the crop_list due to order', 0.005176107975838012), 1009068724: (0.002588053987919006, 'Should be the crop_list due to order', 0.0)}
 args : 1009068683
 depend.output_id : 0
 input_args_next_step : {1009068683: (0.002588053987919006,), 1009068724: ()}
 output_args : {1009068683: (0.002588053987919006, 'Should be the crop_list due to order', 0.005176107975838012), 1009068724: (0.002588053987919006, 'Should be the crop_list due to order', 0.0)}
 args : 1009068724
 depend.output_id : 0
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : (0.002588053987919006,)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1740584585_3116993_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724}
map_photo_id_path_extension : {1009068683: {'path': 'temp/1740584585_3116993_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1740584585_3116993_1009068724_3e705379f97632c4a2fd676e348a335d.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step final !
 query to retrieve results for portfolio 3373196 : SELECT photo_id, hashtag_id, ratio from MTRPhoto.photo_carac_ratio where hashtag_type = 2914  and photo_id in (1009068683,1009068724);
Catched exception !
Connect or reconnect !
insert ignore into MTRUser.portfolio_carac_ratio (portfolio_id, hashtag_type, hashtag_id, value) values (%s,%s,%s,%s) on DUPLICATE KEY UPDATE value=VALUES(value)

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.1704704761505127
time spend to save output : 7.724761962890625e-05
total time spend for step 4 : 0.1705477237701416

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
original output for save of step final : {1009068683: ('0.0025316977085267163',), 1009068724: ('0.0025316977085267163',)}
new output for save of step final : {1009068683: ('0.0025316977085267163',), 1009068724: ('0.0025316977085267163',)}
[1009068683, 1009068724]
 map_info['map_portfolio_photo'] : {3373196: [1009068724, 1009068683]}
 final :  True mtd_id 2719 list_pids : [1009068683, 1009068724]
Looping around the photos to save general results
len do output : 2
/1009068683.Didn't retrieve data
.
/1009068724.Didn't retrieve data
.
before output type
Used above
Used above
Managing all output in save final without adding information in the mtr_datou_result 
('2719', None, None, None, None, None, None, None, None)
('2719', '3373196', '1009068683', None, None, None, None, None, None)
('2719', None, None, None, None, None, None, None, None)
('2719', '3373196', '1009068724', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 6
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('2719', '3373196', '1009068683', '0.0025316977085267163', None, None, None, None, None), ('2719', '3373196', '1009068724', '0.0025316977085267163', None, None, None, None, None)]
time used for this insertion : 0.01460719108581543
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 4
 output : {1009068683: ('0.0025316977085267163',), 1009068724: ('0.0025316977085267163',)}
{1009068683: ('0.0025316977085267163',), 1009068724: ('0.0025316977085267163',)}

############################### TEST rubbia_carac_jrm_no_mask_detect  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3164

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3164
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3164
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3164
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
Step 7557 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 7556 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 7561 merge_mask_and_thcl is not consistent : 3 used against 1 in the step definition !
WARNING : number of inputs for step 7558 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7560 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7559 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7560 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7559 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7556 have datatype=6 whereas input 0 of step 7561 have datatype=20
WARNING : type of output 1 of step 7561 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7558 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7561 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7560 doesn't seem to be define in the database(
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : crop_condition, thcl, argmax, merge_mask_and_thcl, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3364276) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3364276)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1008922130, 'portfolio_id': 3364276}, {'photo_id': 1008922101, 'portfolio_id': 3364276}, {'photo_id': 1008922097, 'portfolio_id': 3364276}, {'photo_id': 1008922095, 'portfolio_id': 3364276}, {'photo_id': 1008922073, 'portfolio_id': 3364276}, {'photo_id': 1008922072, 'portfolio_id': 3364276}, {'photo_id': 1008922003, 'portfolio_id': 3364276}, {'photo_id': 1008922002, 'portfolio_id': 3364276}, {'photo_id': 1008921786, 'portfolio_id': 3364276}, {'photo_id': 1008921657, 'portfolio_id': 3364276}, {'photo_id': 1008921656, 'portfolio_id': 3364276}, {'photo_id': 1008921602, 'portfolio_id': 3364276}, {'photo_id': 1008921601, 'portfolio_id': 3364276}, {'photo_id': 1008921600, 'portfolio_id': 3364276}]
 map_portfolio_id_photo_id: {3364276: [1008922130, 1008922101, 1008922097, 1008922095, 1008922073, 1008922072, 1008922003, 1008922002, 1008921786, 1008921657, 1008921656, 1008921602, 1008921601, 1008921600]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1008922130
begin to download photo : 1008922095
begin to download photo : 1008922003
begin to download photo : 1008921657
begin to download photo : 1008921601
download finish for photo 1008922003
begin to download photo : 1008922002
download finish for photo 1008922095
begin to download photo : 1008922073
download finish for photo 1008922130
begin to download photo : 1008922101
download finish for photo 1008921601
begin to download photo : 1008921600
download finish for photo 1008921657
begin to download photo : 1008921656
download finish for photo 1008922073
begin to download photo : 1008922072
download finish for photo 1008922002
begin to download photo : 1008921786
download finish for photo 1008922101
begin to download photo : 1008922097
download finish for photo 1008921656
begin to download photo : 1008921602
download finish for photo 1008921600
download finish for photo 1008922072
download finish for photo 1008922097
download finish for photo 1008921786
download finish for photo 1008921602
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 14 ; length of list_pids : 14 ; length of list_args : 14
##### After load_data_input 
time to download the photos : 1.1504487991333008
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  7
step1:crop_condition
Wed Feb 26 16:43:18 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
param_json : {'upload_type': 'python', 'photo_hashtag_type': 3336, 'token': '7c6bc181426bc5913186d8428a0fbc15', 'feed_id_new_photos': 3364311, 'crop_type': 'rle_png_transparent', 'host': 'www.fotonower.com', 'filter': {'teint_dans_la_masse': {'min_score': 0.7}, 'autre_refus': {'min_score': 0.7}, 'carton_gris': {'min_score': 0.7}, 'cartonnette': {'min_score': 0.7}, 'carton_brun': {'min_score': 0.7}, 'plastique': {'min_score': 0.7}, 'kraft': {'min_score': 0.7}, 'metal': {'min_score': 0.7}}}
Loading chi in step crop with photo_hashtag_type : 3336
Loading chi in step crop for list_pids : 14 !
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1008921601,1008921600,1008922095,1008922073,1008922072,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008921657,1008921656,1008921602) and `type` in (3336) 
Loaded 121 chid ids of type : 3336
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2099961860,2099961861,2099961862,2099961863,2099961864,2099961865,2099961866,2099961867,2099961868,2099961869,2099961870,2099961871,2099961872,2099961873,2099961874,2099961875,2099961876,2099961877,2099961878,2099961879,2099961880,2099961881,2099961882,2099961883,2099961884,2099961885,2099961886,2099961887,2099961888,2099961889,2099961890,2099961891,2099961892,2099961893,2099961894,2099961895,2099961896,2099961897,2099961898,2099961899,2099961900,2099961901,2099961902,2099961903,2099961904,2099961905,2099961906,2099961907,2099961908,2099961909,2099961910,2099961911,2099961912,2099961913,2099961914,2099961915,2099961916,2099961917,2099961918,2099961919,2099961920,2099961921,2099961922,2099961923,2099961924,2099961925,2099961926,2099961927,2099961928,2099961929,2099961930,2099961931,2099961932,2099961933,2099961934,2099961935,2099961936,2099961937,2099961938,2099961939,2099961940,2099961941,2099961942,2099961943,2099961944,2099961945,2099961946,2099961947,2099961948,2099961949,2099961950,2099961951,2099961952,2099961953,2099961954,2099961955,2099961956,2099961957,2099961958,2099961959,2099961960,2099961961,2099961962,2099961963,2099961964,2099961965,2099961966,2099961967,2099961968,2099961969,2099961970,2099961971,2099961972,2099961973,2099961974,2099961975,2099961976,2099961977,2099961978,2099961979,2099961980)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2099961860,2099961861,2099961862,2099961863,2099961864,2099961865,2099961866,2099961867,2099961868,2099961869,2099961870,2099961871,2099961872,2099961873,2099961874,2099961875,2099961876,2099961877,2099961878,2099961879,2099961880,2099961881,2099961882,2099961883,2099961884,2099961885,2099961886,2099961887,2099961888,2099961889,2099961890,2099961891,2099961892,2099961893,2099961894,2099961895,2099961896,2099961897,2099961898,2099961899,2099961900,2099961901,2099961902,2099961903,2099961904,2099961905,2099961906,2099961907,2099961908,2099961909,2099961910,2099961911,2099961912,2099961913,2099961914,2099961915,2099961916,2099961917,2099961918,2099961919,2099961920,2099961921,2099961922,2099961923,2099961924,2099961925,2099961926,2099961927,2099961928,2099961929,2099961930,2099961931,2099961932,2099961933,2099961934,2099961935,2099961936,2099961937,2099961938,2099961939,2099961940,2099961941,2099961942,2099961943,2099961944,2099961945,2099961946,2099961947,2099961948,2099961949,2099961950,2099961951,2099961952,2099961953,2099961954,2099961955,2099961956,2099961957,2099961958,2099961959,2099961960,2099961961,2099961962,2099961963,2099961964,2099961965,2099961966,2099961967,2099961968,2099961969,2099961970,2099961971,2099961972,2099961973,2099961974,2099961975,2099961976,2099961977,2099961978,2099961979,2099961980)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2099961860,2099961861,2099961862,2099961863,2099961864,2099961865,2099961866,2099961867,2099961868,2099961869,2099961870,2099961871,2099961872,2099961873,2099961874,2099961875,2099961876,2099961877,2099961878,2099961879,2099961880,2099961881,2099961882,2099961883,2099961884,2099961885,2099961886,2099961887,2099961888,2099961889,2099961890,2099961891,2099961892,2099961893,2099961894,2099961895,2099961896,2099961897,2099961898,2099961899,2099961900,2099961901,2099961902,2099961903,2099961904,2099961905,2099961906,2099961907,2099961908,2099961909,2099961910,2099961911,2099961912,2099961913,2099961914,2099961915,2099961916,2099961917,2099961918,2099961919,2099961920,2099961921,2099961922,2099961923,2099961924,2099961925,2099961926,2099961927,2099961928,2099961929,2099961930,2099961931,2099961932,2099961933,2099961934,2099961935,2099961936,2099961937,2099961938,2099961939,2099961940,2099961941,2099961942,2099961943,2099961944,2099961945,2099961946,2099961947,2099961948,2099961949,2099961950,2099961951,2099961952,2099961953,2099961954,2099961955,2099961956,2099961957,2099961958,2099961959,2099961960,2099961961,2099961962,2099961963,2099961964,2099961965,2099961966,2099961967,2099961968,2099961969,2099961970,2099961971,2099961972,2099961973,2099961974,2099961975,2099961976,2099961977,2099961978,2099961979,2099961980)
select photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type, id from MTRPhoto.photo_sub_photos  where photo_id in ( 1008921601,1008921600,1008922095,1008922073,1008922072,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008921657,1008921656,1008921602) 

begin to crop the class : teint_dans_la_masse
param for this class : {'min_score': 0.7}
filtre for class : teint_dans_la_masse 
hashtag_id of this class : 2107752385
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008922095,1008922073,1008922072,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008921657,1008921656,1008921602) and hashtag_id = 2107752385) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2099961965]
chi_id interessant : [2099961965, 2099961952]
chi_id interessant : [2099961965, 2099961952, 2099961898]
chi_id interessant : [2099961965, 2099961952, 2099961898, 2099961863]

type of cropped photo chosen : rle_png_transparent
we resize croppped photo by 1 on x axis and by 1 on y axis
 map_result returned by crop_photo_return_map_crop : length : 0
map_result after crop : {}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{}
we have finished the crop for the class : teint_dans_la_masse



begin to crop the class : autre_refus
param for this class : {'min_score': 0.7}
filtre for class : autre_refus 
hashtag_id of this class : 2107752406
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008922095,1008922073,1008922072,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008921657,1008921656,1008921602) and hashtag_id = 2107752406) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2099961980]
chi_id interessant : [2099961980, 2099961933]
chi_id interessant : [2099961980, 2099961933, 2099961880]
chi_id interessant : [2099961980, 2099961933, 2099961880, 2099961870]

type of cropped photo chosen : rle_png_transparent
we resize croppped photo by 1 on x axis and by 1 on y axis
 map_result returned by crop_photo_return_map_crop : length : 0
map_result after crop : {}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{}
we have finished the crop for the class : autre_refus



begin to crop the class : carton_gris
param for this class : {'min_score': 0.7}
filtre for class : carton_gris 
hashtag_id of this class : 2107753020
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008922095,1008922073,1008922072,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008921657,1008921656,1008921602) and hashtag_id = 2107753020) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2099961976]
chi_id interessant : [2099961976, 2099961975]
chi_id interessant : [2099961976, 2099961975, 2099961971]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903, 2099961890]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903, 2099961890, 2099961889]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903, 2099961890, 2099961889, 2099961882]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903, 2099961890, 2099961889, 2099961882, 2099961876]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903, 2099961890, 2099961889, 2099961882, 2099961876, 2099961867]
chi_id interessant : [2099961976, 2099961975, 2099961971, 2099961964, 2099961960, 2099961950, 2099961949, 2099961937, 2099961934, 2099961915, 2099961913, 2099961912, 2099961910, 2099961908, 2099961906, 2099961903, 2099961890, 2099961889, 2099961882, 2099961876, 2099961867, 2099961862]

type of cropped photo chosen : rle_png_transparent
we resize croppped photo by 1 on x axis and by 1 on y axis
 map_result returned by crop_photo_return_map_crop : length : 0
map_result after crop : {}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{}
we have finished the crop for the class : carton_gris



begin to crop the class : cartonnette
param for this class : {'min_score': 0.7}
filtre for class : cartonnette 
hashtag_id of this class : 702398920
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008922095,1008922073,1008922072,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008921657,1008921656,1008921602) and hashtag_id = 702398920) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2099961953]
chi_id interessant : [2099961953, 2099961954]
chi_id interessant : [2099961953, 2099961954, 2099961944]
chi_id interessant : [2099961953, 2099961954, 2099961944, 2099961945]
chi_id interessant : [2099961953, 2099961954, 2099961944, 2099961945, 2099961922]
chi_id interessant : [2099961953, 2099961954, 2099961944, 2099961945, 2099961922, 2099961932]
chi_id interessant : [2099961953, 2099961954, 2099961944, 2099961945, 2099961922, 2099961932, 2099961892]
chi_id interessant : [2099961953, 2099961954, 2099961944, 2099961945, 2099961922, 2099961932, 2099961892, 2099961877]
chi_id interessant : [2099961953, 2099961954, 2099961944, 2099961945, 2099961922, 2099961932, 2099961892, 2099961877, 2099961871]

type of cropped photo chosen : rle_png_transparent
we resize croppped photo by 1 on x axis and by 1 on y axis
 map_result returned by crop_photo_return_map_crop : length : 0
map_result after crop : {}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{}
we have finished the crop for the class : cartonnette



begin to crop the class : carton_brun
param for this class : {'min_score': 0.7}
filtre for class : carton_brun 
hashtag_id of this class : 2107753024
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008922095,1008922073,1008922072,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008921657,1008921656,1008921602) and hashtag_id = 2107753024) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2099961974]
chi_id interessant : [2099961974, 2099961969]
chi_id interessant : [2099961974, 2099961969, 2099961979]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942, 2099961931]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942, 2099961931, 2099961916]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942, 2099961931, 2099961916, 2099961900]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942, 2099961931, 2099961916, 2099961900, 2099961901]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942, 2099961931, 2099961916, 2099961900, 2099961901, 2099961902]
chi_id interessant : [2099961974, 2099961969, 2099961979, 2099961957, 2099961963, 2099961955, 2099961942, 2099961931, 2099961916, 2099961900, 2099961901, 2099961902, 2099961872]

type of cropped photo chosen : rle_png_transparent
we resize croppped photo by 1 on x axis and by 1 on y axis
 map_result returned by crop_photo_return_map_crop : length : 0
map_result after crop : {}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{}
we have finished the crop for the class : carton_brun



begin to crop the class : plastique
param for this class : {'min_score': 0.7}
filtre for class : plastique 
hashtag_id of this class : 492725882
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008922095,1008922073,1008922072,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008921657,1008921656,1008921602) and hashtag_id = 492725882) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2099961978]

begin to crop the class : kraft
param for this class : {'min_score': 0.7}
filtre for class : kraft 
hashtag_id of this class : 493202403
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008922095,1008922073,1008922072,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008921657,1008921656,1008921602) and hashtag_id = 493202403) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : metal
param for this class : {'min_score': 0.7}
filtre for class : metal 
hashtag_id of this class : 492628673
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 3336 and photo_id in (1008921601,1008921600,1008922095,1008922073,1008922072,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008921657,1008921656,1008921602) and hashtag_id = 492628673) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
map of total cropped photos with some data : 
{}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 10.980448007583618
time spend to save output : 0.0003452301025390625
total time spend for step 1 : 10.980793237686157

step2:thcl
Wed Feb 26 16:43:29 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {}
VR 22-3-18 : For now we do not clean correctly the datou structure 
No keys ! 

input_args_next_step, len :0
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step Thcl !
no input

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.0007970333099365234
time spend to save output : 2.8371810913085938e-05
total time spend for step 2 : 0.0008254051208496094

step3:argmax
Wed Feb 26 16:43:29 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {}
VR 22-3-18 : For now we do not clean correctly the datou structure 
No keys ! 

input_args_next_step, len :0
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou_step Argmax !
no input

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 5.602836608886719e-05
time spend to save output : 1.8596649169921875e-05
total time spend for step 3 : 7.462501525878906e-05

step4:merge_mask_and_thcl
Wed Feb 26 16:43:29 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {}
VR 22-3-18 : For now we do not clean correctly the datou structure 
No keys ! 

input_args_next_step, len :0
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
debut de la step merge mask and classif
[] crops sont a sauvegarder

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 6.985664367675781e-05
time spend to save output : 1.811981201171875e-05
total time spend for step 4 : 8.797645568847656e-05

step5:rle_unique_nms_with_priority
Wed Feb 26 16:43:29 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : ['temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg']
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :14, first value : ['temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg
on traite la photo : temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg
on traite la photo : temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg
on traite la photo : temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg
on traite la photo : temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg
on traite la photo : temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg
on traite la photo : temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg
on traite la photo : temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg
on traite la photo : temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg
on traite la photo : temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg
on traite la photo : temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg
on traite la photo : temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg
on traite la photo : temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg
on traite la photo : temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1008921601,1008921600,1008922095,1008922073,1008922072,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008921657,1008921656,1008921602) and `type` in (3418) and hashtag_id in (492668766,538914404) 
Loaded 26 chid ids of type : 3418
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2099963667,2099963668,2099963669,2099963670,2099963671,2099963672,2099963673,2099963674,2099963675,2099963676,2099963677,2099963678,2099963679,2099963680,2099963681,2099963682,2099963683,2099963684,2099963685,2099963686,2099963687,2099963688,2099963689,2099963690,2099963691,2099963692)
++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2099963667,2099963668,2099963669,2099963670,2099963671,2099963672,2099963673,2099963674,2099963675,2099963676,2099963677,2099963678,2099963679,2099963680,2099963681,2099963682,2099963683,2099963684,2099963685,2099963686,2099963687,2099963688,2099963689,2099963690,2099963691,2099963692)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2099963667,2099963668,2099963669,2099963670,2099963671,2099963672,2099963673,2099963674,2099963675,2099963676,2099963677,2099963678,2099963679,2099963680,2099963681,2099963682,2099963683,2099963684,2099963685,2099963686,2099963687,2099963688,2099963689,2099963690,2099963691,2099963692)
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 2.431413173675537
create new chi : 0.008864879608154297
 proportion hashtag : refus 0.011822314499524865
 proportion hashtag : papier 0.9824540455733292
time to delete rle : 0.9870829582214355
save time : 1.9311904907226562e-05
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 2.211606740951538
create new chi : 0.007281780242919922
 proportion hashtag : refus 0.01255295771301869
 proportion hashtag : papier 0.9863322081881533
time to delete rle : 0.30620527267456055
save time : 6.4373016357421875e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 0.9728400707244873
create new chi : 0.011174678802490234
 proportion hashtag : papier 0.9585115913050364
time to delete rle : 0.5179257392883301
save time : 2.7894973754882812e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.5125782489776611
create new chi : 2.956390380859375e-05
 proportion hashtag : refus 0.0034527686490338928
 proportion hashtag : papier 0.9965472313509661
time to delete rle : 0.5958108901977539
save time : 8.487701416015625e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 2.0639405250549316
create new chi : 8.463859558105469e-05
 proportion hashtag : refus 0.006595957396262274
 proportion hashtag : papier 0.9934040426037377
time to delete rle : 0.441434383392334
save time : 4.458427429199219e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.2897348403930664
create new chi : 3.647804260253906e-05
 proportion hashtag : refus 0.009172696586949636
 proportion hashtag : papier 0.9908273034130504
time to delete rle : 0.5055921077728271
save time : 9.298324584960938e-06
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 1.4265615940093994
create new chi : 0.008792638778686523
 proportion hashtag : papier 0.9896722560975609
 proportion hashtag : refus 0.001785095620842572
time to delete rle : 0.5285749435424805
save time : 3.504753112792969e-05
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 1.7319097518920898
create new chi : 0.01024007797241211
 proportion hashtag : papier 0.9968715354767184
 proportion hashtag : refus 0.00213167168197656
time to delete rle : 0.5528171062469482
save time : 2.1219253540039062e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 0.9373149871826172
create new chi : 3.6716461181640625e-05
 proportion hashtag : refus 0.010260185698447893
 proportion hashtag : papier 0.9897398143015521
time to delete rle : 0.5191526412963867
save time : 2.6941299438476562e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.2996466159820557
create new chi : 0.007856369018554688
 proportion hashtag : papier 0.98686463117675
time to delete rle : 0.47952771186828613
save time : 7.62939453125e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.5599889755249023
create new chi : 3.9577484130859375e-05
 proportion hashtag : refus 0.0024127929996832437
 proportion hashtag : papier 0.9975872070003168
time to delete rle : 0.5036759376525879
save time : 4.291534423828125e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.6507070064544678
create new chi : 0.007031440734863281
 proportion hashtag : papier 0.994315707158695
time to delete rle : 0.8323345184326172
save time : 6.4373016357421875e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 0.9865853786468506
create new chi : 3.2901763916015625e-05
 proportion hashtag : refus 0.0018834633354450428
 proportion hashtag : papier 0.9981165366645549
time to delete rle : 0.6667261123657227
save time : 7.867813110351562e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 2.451662063598633
create new chi : 3.314018249511719e-05
 proportion hashtag : refus 0.011059624445676274
 proportion hashtag : papier 0.9889403755543237
time to delete rle : 0.8747525215148926
save time : 2.765655517578125e-05
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 32.81199860572815
time spend to save output : 0.00014829635620117188
total time spend for step 5 : 32.81214690208435

step6:ventilate_hashtags_in_portfolio
Wed Feb 26 16:44:02 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step ventilate_hashtags_in_portfolio : To implement !
To do loadFromThcl(), then load ParamDescType : thcl2456
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (2456) 
 thcls : [{'id': 2456, 'mtr_user_id': 31, 'name': 'learn_qualipapia_papier_refus_from_vlg_data_aug', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'papier,refus', 'svm_portfolios_learning': '3028087,3028251', 'photo_hashtag_type': 3049, 'photo_desc_type': 4999, 'type_classification': 'caffe', 'hashtag_id_list': '492668766,538914404'}]
 thcl {'id': 2456, 'mtr_user_id': 31, 'name': 'learn_qualipapia_papier_refus_from_vlg_data_aug', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'papier,refus', 'svm_portfolios_learning': '3028087,3028251', 'photo_hashtag_type': 3049, 'photo_desc_type': 4999, 'type_classification': 'caffe', 'hashtag_id_list': '492668766,538914404'}
 Update svm_hashtag_type_desc : 4999
Iterating over portfolio : 3364276
get user id for portfolio 3364276
get sub ptf for main ptf 3535038, type 3418 and hashtags ['refus', 'papier']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=3535038 AND  mptpi.`type`=3418 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('refus','papier'))  AND  mptpi.`min_score`=0.7
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=3535038 AND  mptpi.`type`=3418 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('refus','papier'))  AND  mptpi.`min_score`=0.7
To do
returned map {'refus': {'main_port_id': 3535038, 'sub_port_id': 3535090, 'hashtag': 'refus', 'pht': 3418, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 8903, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 39, 39), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 39, 39), 'last_updated_at_asc': datetime.datetime(2021, 3, 5, 16, 19, 20)}, 'papier': {'main_port_id': 3535038, 'sub_port_id': 3535091, 'hashtag': 'papier', 'pht': 3418, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 8904, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 39, 39), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 39, 39), 'last_updated_at_asc': datetime.datetime(2021, 3, 5, 16, 19, 20)}}
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3535090 , sub_photo_id, 739,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3364276
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=3418
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='refus'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3535091 , sub_photo_id, 739,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3364276
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=3418
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='papier'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !
get sub ptf for main ptf 3364276, type 3418 and hashtags ['refus', 'papier']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=3364276 AND  mptpi.`type`=3418 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('refus','papier'))  AND  mptpi.`min_score`=0.7
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=3364276 AND  mptpi.`type`=3418 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('refus','papier'))  AND  mptpi.`min_score`=0.7
To do
returned map {'refus': {'main_port_id': 3364276, 'sub_port_id': 3534897, 'hashtag': 'refus', 'pht': 3418, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 8901, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 39, 41), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 39, 41), 'last_updated_at_asc': datetime.datetime(2021, 3, 5, 15, 22, 49)}, 'papier': {'main_port_id': 3364276, 'sub_port_id': 3534898, 'hashtag': 'papier', 'pht': 3418, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 8902, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 39, 41), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 39, 41), 'last_updated_at_asc': datetime.datetime(2021, 3, 5, 15, 22, 49)}}
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3534897 , sub_photo_id, 739,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3364276
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=3418
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='refus'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 3534898 , sub_photo_id, 739,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=3364276
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=3418
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='papier'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.156327486038208
time spend to save output : 0.00013136863708496094
total time spend for step 6 : 0.15645885467529297

step7:final
Wed Feb 26 16:44:02 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
complete output_args for input 2 : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 input_args_next_step : {1008921601: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008921601
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008921600
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008922095: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008922095
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008922073
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008922072
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922130: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008922130
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008922101
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: (0.005230650193135238,), 1008922097: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008922097
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: (0.005230650193135238,), 1008922097: (0.005230650193135238,), 1008922003: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008922003
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: (0.005230650193135238,), 1008922097: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008922002
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: (0.005230650193135238,), 1008922097: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: (0.005230650193135238,), 1008921786: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008921786
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: (0.005230650193135238,), 1008922097: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: (0.005230650193135238,), 1008921786: (0.005230650193135238,), 1008921657: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008921657
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: (0.005230650193135238,), 1008922097: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: (0.005230650193135238,), 1008921786: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008921656
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: (0.005230650193135238,), 1008922097: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: (0.005230650193135238,), 1008921786: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: ()}
 output_args : {1008921601: (0.005230650193135238, 'Should be the crop_list due to order', 0.01189037070001202), 1008921600: (0.005230650193135238, 'Should be the crop_list due to order', 0.012566967797237925), 1008922095: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008922073: (0.005230650193135238, 'Should be the crop_list due to order', 0.0034527686490338928), 1008922072: (0.005230650193135238, 'Should be the crop_list due to order', 0.006595957396262274), 1008922130: (0.005230650193135238, 'Should be the crop_list due to order', 0.009172696586949636), 1008922101: (0.005230650193135238, 'Should be the crop_list due to order', 0.001800476457962238), 1008922097: (0.005230650193135238, 'Should be the crop_list due to order', 0.0021337986371828908), 1008922003: (0.005230650193135238, 'Should be the crop_list due to order', 0.010260185698447893), 1008922002: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921786: (0.005230650193135238, 'Should be the crop_list due to order', 0.0024127929996832437), 1008921657: (0.005230650193135238, 'Should be the crop_list due to order', 0.0), 1008921656: (0.005230650193135238, 'Should be the crop_list due to order', 0.0018834633354450428), 1008921602: (0.005230650193135238, 'Should be the crop_list due to order', 0.011059624445676274)}
 args : 1008921602
 depend.output_id : 0
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :14, first value : (0.005230650193135238,)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1740584597_3116993_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1740584597_3116993_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1740584597_3116993_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1740584597_3116993_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1740584597_3116993_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1740584597_3116993_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1740584597_3116993_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1740584597_3116993_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1740584597_3116993_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1740584597_3116993_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1740584597_3116993_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1740584597_3116993_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1740584597_3116993_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1740584597_3116993_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step final !
 query to retrieve results for portfolio 3364276 : SELECT photo_id, hashtag_id, ratio from MTRPhoto.photo_carac_ratio where hashtag_type = 3418  and photo_id in (1008921602,1008921601,1008921600,1008921657,1008921656,1008921786,1008922003,1008922002,1008922073,1008922072,1008922097,1008922095,1008922101,1008922130);
insert ignore into MTRUser.portfolio_carac_ratio (portfolio_id, hashtag_type, hashtag_id, value) values (%s,%s,%s,%s) on DUPLICATE KEY UPDATE value=VALUES(value)

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.019800662994384766
time spend to save output : 5.7697296142578125e-05
total time spend for step 7 : 0.019858360290527344

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
original output for save of step final : {1008921601: ('0.005252307643909098',), 1008921600: ('0.005252307643909098',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',), 1008922130: ('0.005252307643909098',), 1008922101: ('0.005252307643909098',), 1008922097: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',), 1008921657: ('0.005252307643909098',), 1008921656: ('0.005252307643909098',), 1008921602: ('0.005252307643909098',)}
new output for save of step final : {1008921601: ('0.005252307643909098',), 1008921600: ('0.005252307643909098',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',), 1008922130: ('0.005252307643909098',), 1008922101: ('0.005252307643909098',), 1008922097: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',), 1008921657: ('0.005252307643909098',), 1008921656: ('0.005252307643909098',), 1008921602: ('0.005252307643909098',)}
[1008921601, 1008921600, 1008922095, 1008922073, 1008922072, 1008922130, 1008922101, 1008922097, 1008922003, 1008922002, 1008921786, 1008921657, 1008921656, 1008921602]
 map_info['map_portfolio_photo'] : {3364276: [1008922130, 1008922101, 1008922097, 1008922095, 1008922073, 1008922072, 1008922003, 1008922002, 1008921786, 1008921657, 1008921656, 1008921602, 1008921601, 1008921600]}
 final :  True mtd_id 3164 list_pids : [1008921601, 1008921600, 1008922095, 1008922073, 1008922072, 1008922130, 1008922101, 1008922097, 1008922003, 1008922002, 1008921786, 1008921657, 1008921656, 1008921602]
Looping around the photos to save general results
len do output : 14
/1008921601.Didn't retrieve data
.
/1008921600.Didn't retrieve data
.
/1008922095.Didn't retrieve data
.
/1008922073.Didn't retrieve data
.
/1008922072.Didn't retrieve data
.
/1008922130.Didn't retrieve data
.
/1008922101.Didn't retrieve data
.
/1008922097.Didn't retrieve data
.
/1008922003.Didn't retrieve data
.
/1008922002.Didn't retrieve data
.
/1008921786.Didn't retrieve data
.
/1008921657.Didn't retrieve data
.
/1008921656.Didn't retrieve data
.
/1008921602.Didn't retrieve data
.
before output type
Used above
Used above
Managing all output in save final without adding information in the mtr_datou_result 
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008921601', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008921600', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922095', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922073', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922072', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922130', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922101', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922097', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922003', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008922002', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008921786', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008921657', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008921656', None, None, None, None, None, None)
('3164', None, None, None, None, None, None, None, None)
('3164', '3364276', '1008921602', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 42
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3164', '3364276', '1008921601', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008921600', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922095', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922073', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922072', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922130', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922101', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922097', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922003', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922002', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008921786', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008921657', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008921656', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008921602', '0.005252307643909098', None, None, None, None, None)]
time used for this insertion : 0.014821290969848633
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 7
 output : {1008921601: ('0.005252307643909098',), 1008921600: ('0.005252307643909098',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',), 1008922130: ('0.005252307643909098',), 1008922101: ('0.005252307643909098',), 1008922097: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',), 1008921657: ('0.005252307643909098',), 1008921656: ('0.005252307643909098',), 1008921602: ('0.005252307643909098',)}
{1008921601: ('0.005252307643909098',), 1008921600: ('0.005252307643909098',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',), 1008922130: ('0.005252307643909098',), 1008922101: ('0.005252307643909098',), 1008922097: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',), 1008921657: ('0.005252307643909098',), 1008921656: ('0.005252307643909098',), 1008921602: ('0.005252307643909098',)}

############################### TEST ventilate_hashtags_in_portfolio  ################################
DELETE FROM MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 5486631;
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3070

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3070
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3070
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3070
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : ventilate_hashtags_in_portfolio
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (5363525) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (5363525)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1075306598, 'portfolio_id': 5363525}, {'photo_id': 1075306564, 'portfolio_id': 5363525}, {'photo_id': 1075306534, 'portfolio_id': 5363525}, {'photo_id': 1075306522, 'portfolio_id': 5363525}, {'photo_id': 1075304668, 'portfolio_id': 5363525}]
 map_portfolio_id_photo_id: {5363525: [1075306598, 1075306564, 1075306534, 1075306522, 1075304668]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.013599157333374023
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:ventilate_hashtags_in_portfolio
Wed Feb 26 16:44:02 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
beginning of datou step ventilate_hashtags_in_portfolio : To implement !
Iterating over portfolio : 5363525
get user id for portfolio 5363525
get sub ptf for main ptf 5363525, type 4268 and hashtags ['pet_clair', 'error', 'environment']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=5363525 AND  mptpi.`type`=4268 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','error','environment'))  AND  mptpi.`min_score`=0.3
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=5363525 AND  mptpi.`type`=4268 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','error','environment'))  AND  mptpi.`min_score`=0.3
To do
returned map {'pet_clair': {'main_port_id': 5363525, 'sub_port_id': 5486630, 'hashtag': 'pet_clair', 'pht': 4268, 'min_score': 0.3, 'mtr_user_id': 31, 'id': 1060439, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 39, 41), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 39, 41), 'last_updated_at_asc': datetime.datetime(2022, 2, 16, 13, 28, 54)}, 'error': {'main_port_id': 5363525, 'sub_port_id': 5486631, 'hashtag': 'error', 'pht': 4268, 'min_score': 0.3, 'mtr_user_id': 31, 'id': 1060440, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 39, 41), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 39, 41), 'last_updated_at_asc': datetime.datetime(2022, 2, 16, 13, 28, 54)}, 'environment': {'main_port_id': 5363525, 'sub_port_id': 5486632, 'hashtag': 'environment', 'pht': 4268, 'min_score': 0.3, 'mtr_user_id': 31, 'id': 1060441, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 39, 41), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 39, 41), 'last_updated_at_asc': datetime.datetime(2022, 2, 16, 13, 28, 54)}}
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 5486630 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=5363525
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.3
AND chi.type=4268
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_clair'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 5486631 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=5363525
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.3
AND chi.type=4268
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='error'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 5486632 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=5363525
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.3
AND chi.type=4268
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='environment'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.061409711837768555
time spend to save output : 9.179115295410156e-05
total time spend for step 1 : 0.061501502990722656

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral 
[1075306598, 1075306564, 1075306534, 1075306522, 1075304668]
 map_info['map_portfolio_photo'] : {5363525: [1075306598, 1075306564, 1075306534, 1075306522, 1075304668]}
 final :  True mtd_id 3070 list_pids : [1075306598, 1075306564, 1075306534, 1075306522, 1075304668]
Looping around the photos to save general results
len do output : 1
/5363525.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2c6c7634c0>
Managing all output in save final without adding information in the mtr_datou_result 
('3070', None, None, None, None, None, None, None, None)
('3070', '5363525', '1075306598', None, None, None, None, None, None)
('3070', None, None, None, None, None, None, None, None)
('3070', '5363525', '1075306564', None, None, None, None, None, None)
('3070', None, None, None, None, None, None, None, None)
('3070', '5363525', '1075306534', None, None, None, None, None, None)
('3070', None, None, None, None, None, None, None, None)
('3070', '5363525', '1075306522', None, None, None, None, None, None)
('3070', None, None, None, None, None, None, None, None)
('3070', '5363525', '1075304668', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 6
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3070', None, '5363525', "{'pet_clair': 5486630, 'error': 5486631, 'environment': 5486632}", None, None, None, None, None), ('3070', '5363525', '1075306598', None, None, None, None, None, None), ('3070', '5363525', '1075306564', None, None, None, None, None, None), ('3070', '5363525', '1075306534', None, None, None, None, None, None), ('3070', '5363525', '1075306522', None, None, None, None, None, None), ('3070', '5363525', '1075304668', None, None, None, None, None, None)]
time used for this insertion : 0.012828826904296875
 save_final 

save missing photos in datou_result :
After save, about to update current !

        SELECT count(*) from MTRUser.mtr_portfolio_photos 
        WHERE mtr_portfolio_id = 5486631 and hide_status = 0
Ayatollah of tests excluded it ! (Bon le prochain developpeur qui passe ici peut enlever ayatollah VR 11-2-21)
 name : merge_qualipapia_like not run because too long 

############################### TEST poly_ro_rle  ################################
test creation de rle a partir de polygon
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3138

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3138
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3138
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3138
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : poly_to_rle
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (3337029) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (3337029)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1003369118, 'portfolio_id': 3337029}]
 map_portfolio_id_photo_id: {3337029: [1003369118]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1003369118
download finish for photo 1003369118
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1
##### After load_data_input 
time to download the photos : 0.22902417182922363
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:poly_to_rle
Wed Feb 26 16:44:02 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584642_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg': 1003369118}
map_photo_id_path_extension : {1003369118: {'path': 'temp/1740584642_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
can't find the hashtag_type_input ,set the output_type same as the input_type
on traite la photo : temp/1740584642_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1003369118) and `type` in (3391) 
Loaded 16 chid ids of type : 3391
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1967620930,1967620931,1967620932,1967620933,1967620934,1967620935,1967620936,1967620937,1967620938,1967620939,1967620940,1967620941,1967620942,1967620943,1967620944,1967620945)
++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1967620930,1967620931,1967620932,1967620933,1967620934,1967620935,1967620936,1967620937,1967620938,1967620939,1967620940,1967620941,1967620942,1967620943,1967620944,1967620945)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1967620930,1967620931,1967620932,1967620933,1967620934,1967620935,1967620936,1967620937,1967620938,1967620939,1967620940,1967620941,1967620942,1967620943,1967620944,1967620945)
time for calcul the mask position with numpy : 0.008616924285888672
nb_pixel_total : 110633
time to create 1 rle with old method : 0.11595034599304199
time for calcul the mask position with numpy : 0.007023334503173828
nb_pixel_total : 15826
time to create 1 rle with old method : 0.016988754272460938
time for calcul the mask position with numpy : 0.006842851638793945
nb_pixel_total : 5286
time to create 1 rle with old method : 0.0062177181243896484
time for calcul the mask position with numpy : 0.0069942474365234375
nb_pixel_total : 1633
time to create 1 rle with old method : 0.0019750595092773438
time for calcul the mask position with numpy : 0.007955074310302734
nb_pixel_total : 105533
time to create 1 rle with old method : 0.11366558074951172
time for calcul the mask position with numpy : 0.0072138309478759766
nb_pixel_total : 4393
time to create 1 rle with old method : 0.005338191986083984
time for calcul the mask position with numpy : 0.00712132453918457
nb_pixel_total : 632
time to create 1 rle with old method : 0.0008397102355957031
time for calcul the mask position with numpy : 0.007469892501831055
nb_pixel_total : 62627
time to create 1 rle with old method : 0.06920933723449707
time for calcul the mask position with numpy : 0.007568836212158203
nb_pixel_total : 33681
time to create 1 rle with old method : 0.038587093353271484
time for calcul the mask position with numpy : 0.007695198059082031
nb_pixel_total : 37724
time to create 1 rle with old method : 0.04226279258728027
time for calcul the mask position with numpy : 0.007792949676513672
nb_pixel_total : 48775
time to create 1 rle with old method : 0.05437517166137695
time for calcul the mask position with numpy : 0.027987241744995117
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.13643407821655273
time for calcul the mask position with numpy : 0.006852626800537109
nb_pixel_total : 2310
time to create 1 rle with old method : 0.0025823116302490234
time for calcul the mask position with numpy : 0.0068171024322509766
nb_pixel_total : 2256
time to create 1 rle with old method : 0.002804279327392578
time for calcul the mask position with numpy : 0.006844043731689453
nb_pixel_total : 3112
time to create 1 rle with old method : 0.0035064220428466797
time for calcul the mask position with numpy : 0.006865501403808594
nb_pixel_total : 1662
time to create 1 rle with old method : 0.001965045928955078
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 16 chid ids of type : 3391
++++++++++++++++Number RLEs to save : 0
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.9896268844604492
time spend to save output : 9.870529174804688e-05
total time spend for step 1 : 0.9897255897521973

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {1003369118: 'temp/1740584642_3116993_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg'}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1003369118) and `type` in (3391) 
Loaded 16 chid ids of type : 3391
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1967620930,1967620931,1967620932,1967620933,1967620934,1967620935,1967620936,1967620937,1967620938,1967620939,1967620940,1967620941,1967620942,1967620943,1967620944,1967620945)
++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1967620930,1967620931,1967620932,1967620933,1967620934,1967620935,1967620936,1967620937,1967620938,1967620939,1967620940,1967620941,1967620942,1967620943,1967620944,1967620945)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1967620930,1967620931,1967620932,1967620933,1967620934,1967620935,1967620936,1967620937,1967620938,1967620939,1967620940,1967620941,1967620942,1967620943,1967620944,1967620945)
fin du test de poly_to_rle

############################### TEST cod_sts  ################################
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3781

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3781
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3781
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3781
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : split_time_score
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4453840) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4453840)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1050302186, 'portfolio_id': 4453840}, {'photo_id': 1050302153, 'portfolio_id': 4453840}, {'photo_id': 1050302152, 'portfolio_id': 4453840}, {'photo_id': 1050302146, 'portfolio_id': 4453840}, {'photo_id': 1050302113, 'portfolio_id': 4453840}, {'photo_id': 1050302110, 'portfolio_id': 4453840}, {'photo_id': 1050302106, 'portfolio_id': 4453840}]
 map_portfolio_id_photo_id: {4453840: [1050302186, 1050302153, 1050302152, 1050302146, 1050302113, 1050302110, 1050302106]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.013243913650512695
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
we use local cache db, so we are in local job, but when commit will be implemented for local cache db, we could again use save
number of steps :  1
step1:split_time_score
Wed Feb 26 16:44:03 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
SELECT app_name, token FROM MTRUser.mtr_app_api_token WHERE mtr_user_id=739 AND app_name="token_split_time_score" AND expire_at > NOW() 
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}]
thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 4453840 group by h
(('48', 4), ('42', 3))

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4453840  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4453840)  AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000
SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id
FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1
where mpp1.mtr_photo_id=cps.photo_id
AND h.hashtag_id=cps.hashtag_id
AND mpp1.hide_status=0
AND mpp1.mtr_portfolio_id in (4453840)  AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {}
17082021 4453840 Nombre de photos uploadées : 7 / 23040 (0%)
17082021 4453840 Nombre de photos taguées (types de déchets): 0 / 7 (0%)
17082021 4453840 Nombre de photos taguées (volume) : 0 / 7 (0%)
[{'photo_id': 1050302113, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/13/8b089b6e181d22a2bb6883e02fd3a110.jpg', 'username': None, 'uploaded_at': 1631534001, 'text': 'IMG_20210817_104213.jpg'}, {'photo_id': 1050302153, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/13/fd7af64d2c8fdd6083cf479b54278cc7.jpg', 'username': None, 'uploaded_at': 1631534029, 'text': 'IMG_20210817_104213.jpg'}, {'photo_id': 1050302186, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/13/c60917e9be6d6a9f1fa465e963bfa064.jpg', 'username': None, 'uploaded_at': 1631534095, 'text': 'IMG_20210817_104216.jpg'}, {'photo_id': 1050302110, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/13/314ca6fa7e24f250d19c3f32c9493132.jpg', 'username': None, 'uploaded_at': 1631534001, 'text': 'IMG_20210817_094832.jpg'}]
0
[]
 elapsed_time : load_data_split_time_score 2.5510787963867188e-05
 elapsed_time : order_list_meta_photo_and_scores 7.152557373046875e-06
??????? elapsed_time : fill_and_build_computed_from_old_data 0.0004515647888183594

        INSERT INTO `MTRPhoto`.`dashboard_entry_day`
(`dashboard_place_id`,
`mtr_portfolio_id`,
`date`)
VALUES
(
34, 4453840, '2021-08-17'
) ON DUPLICATE KEY UPDATE mtr_portfolio_id=VALUES(mtr_portfolio_id), updated_at=NOW();


        INSERT INTO `MTRPhoto`.`dashboard_run_ids`
(`dashboard_entry_day`,
`mtr_user_id`,
`misc_info`)
VALUES
(173725,739,"{}");

 elapsed_time : insert_dashboard_record_day_entry 0.021859169006347656
TODO 20-09-21 https://github.com/fotonower/raspi-fotonower-x/issues/253#issuecomment-923099773
TODO 20-9-21
TODO 20-9-21
***** BEGIN SPLIT TIME *****
False
1629158400.0
`1629186488.0 1629186300.0
`1629186488.0 1629186300.0
`1629186512.0 1629186300.0
`1629186512.0 1629186300.0
`1629189733.0 1629189600.0
`1629189733.0 1629189600.0
`1629189736.0 1629189600.0
list printed:  [[0, 1, 2, 3], [4, 5, 6]]
forced_hashtag:  jrm
force hashtag to jrm
 elapsed_time : SPLIT_TIME 0.005160331726074219
***** END SPLIT TIME *****
 NUMBER BATCH : 2
 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['jrm']
Listed one port to create portfolio : jrm_diff_batch__17082021_09_48_08_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__17082021_09_48_08_000000 : 0 duration : 24.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c20a940>
None
result_one_balle_Type_jrm:{'day': '17082021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 24.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20210817_094808.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
Listed one port to create portfolio : jrm_diff_batch__17082021_10_42_13_000000
ERROR missing amount info
ERROR missing amount info
ERROR missing amount info
Nombres de balles jrm_diff_batch__17082021_10_42_13_000000 : 0 duration : 3.0
update_text_in_photos list_photo_id_text len : 0 , 100 first caracter of query  INSERT IGNORE INTO MTRUser.mtr_photos (`photo_id`, `text`) VALUES ( %s, %s) on duplicate key update 
<map object at 0x7f2c8c20acd0>
None
result_one_balle_Type_jrm:{'day': '17082021', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 3.0, 'nb_balles_papier': 0, 'begin_time_port': 'IMG_20210817_104213.jpg'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0
We have rejected 0 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 2
list_same_port_ids : [4453926]


 find same portfolio which already exist 4453926 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4453926 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4453926 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
list_same_port_ids : [4652336]


 find same portfolio which already exist 4652336 , we will use it
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) SELECT 4652336 , ph.photo_id,50000000*CAST(SUBSTRING(ph.text, 13, 2) as unsigned integer) + 4000000*CAST(SUBSTRING(ph.text, 9, 2) as unsigned integer) +  100000*CAST(SUBSTRING(ph.text, 7, 2) as unsigned integer) + 60*60*CAST(SUBSTRING(ph.text, 16, 2) as unsigned integer) + 60*CAST(SUBSTRING(ph.text, 19, 2) as unsigned integer)+ CAST(SUBSTRING(ph.text, 22, 2) as unsigned integer) FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4652336 AND mpp.hide_status=0 on duplicate key update `order`=VALUES(`order`);
0
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4453926
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384740, 'mtr_portfolio_id': 4453926, 'created_at': datetime.datetime(2024, 11, 21, 1, 57, 11), 'result': '0.5219450480102605', 'result_long': None, 'result_double': None}]
Qualite : 0.5219450480102605
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4453926 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4453926 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633691, '_______jrm',
'2021-08-17 09:48:08', '2021-08-17 09:48:32',
4, 4453926,
0.5219450480102605, 2384740,
'-1', "{'max_time_prod_two_photos': 0, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P4453926_21-11-2024_01_57_11.pdf', 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 18491127, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 18491128, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 18491129, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 18491130, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 18491131, 'pht': 4038}, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 18491132, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 18491133, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 18491134, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 18491135, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 18491136, 'pht': 4038}}"
);
SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double
                FROM MTRPhoto.mtr_datou_result
                WHERE mtr_portfolio_id = 4652336
                AND result is not null
                and result<>"None"
                and result<>0.0
                AND mtd_id=3543
                ORDER BY id desc LIMIT 1
 list_result_datou : [{'mtr_datou_id': 3543, 'mtr_datou_current_id': 2384741, 'mtr_portfolio_id': 4652336, 'created_at': datetime.datetime(2024, 11, 21, 2, 2, 45), 'result': '0.1657989516453152', 'result_long': None, 'result_double': None}]
Qualite : 0.1657989516453152
select url from MTRUser.mtr_files where mtd_id = 3543 and mtr_portfolio_id = 4652336 order by file_id desc limit 1
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 8564 mask_detect is not consistent : 4 used against 2 in the step definition !
WARNING : number of outputs for step 8572 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8573 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 8567 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 8567 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 8566 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 8568 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8569 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 9453 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 9453 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 8571 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 8570 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 8570 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 8574 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Step 9126 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8567 doesn't seem to be define in the database(
WARNING : output 0 of step 8566 have datatype=6 whereas input 2 of step 8568 have datatype=5
WARNING : output 1 of step 8564 have datatype=2 whereas input 1 of step 8568 have datatype=7
WARNING : output 0 of step 8564 have datatype=16 whereas input 0 of step 8568 have datatype=1
WARNING : type of output 2 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 8568 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8571 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8570 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 8571 have datatype=10 whereas input 2 of step 8574 have datatype=6
WARNING : type of input 2 of step 9453 doesn't seem to be define in the database(
WARNING : output 1 of step 8569 have datatype=7 whereas input 2 of step 9453 have datatype=None
WARNING : type of output 3 of step 9453 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8571 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8572 doesn't seem to be define in the database(
WARNING : type of input 3 of step 8567 doesn't seem to be define in the database(
WARNING : type of output 1 of step 8573 doesn't seem to be define in the database(
WARNING : type of input 4 of step 8567 doesn't seem to be define in the database(
DataTypes for each output/input checked !
TODO
Duplicate data, are they consistent 3 ?
Duplicate data, are they consistent 4 ?
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4652336 AND  mptpi.`type`=4038
To do

        INSERT INTO `MTRPhoto`.`dashboard_results`
(`dashboard_run_id`,
`hashtag`,
`date_debut`,
`date_fin`,
`nombre_balle`,
`mtr_portfolio_id`,
`qualite`,
`datou_result_id_qualite`,
`completion_percentage`,
`completion_json`)
VALUES
(1633691, '_______jrm',
'2021-08-17 10:42:13', '2021-08-17 10:42:16',
3, 4652336,
0.1657989516453152, 2384741,
'-1', "{'max_time_prod_two_photos': 0, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 18491234, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 18491235, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 18491236, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 18491237, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 18491238, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 18491239, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 18491240, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 18491241, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 18491242, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 18491243, 'pht': 4038}}"
);
 elapsed_time : count_nb_balles_and_create_portfolio 1.1148736476898193
# DISPLAY ALL COLLECTED DATA : 
{'17082021': {'nb_upload': 7, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 1.1846940517425537
time spend to save output : 0.00011515617370605469
total time spend for step 1 : 1.1848092079162598

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral 
[1050302186, 1050302153, 1050302152, 1050302146, 1050302113, 1050302110, 1050302106]
 map_info['map_portfolio_photo'] : {4453840: [1050302186, 1050302153, 1050302152, 1050302146, 1050302113, 1050302110, 1050302106]}
 final :  True mtd_id 3781 list_pids : [1050302186, 1050302153, 1050302152, 1050302146, 1050302113, 1050302110, 1050302106]
Looping around the photos to save general results
len do output : 1
/4453840Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2c6c7632b0>
Managing all output in save final without adding information in the mtr_datou_result 
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302186', None, None, None, None, None, None)
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302153', None, None, None, None, None, None)
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302152', None, None, None, None, None, None)
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302146', None, None, None, None, None, None)
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302113', None, None, None, None, None, None)
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302110', None, None, None, None, None, None)
('3781', None, None, None, None, None, None, None, None)
('3781', '4453840', '1050302106', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 8
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3781', None, '4453840', 'None', None, None, None, None, None), ('3781', '4453840', '1050302186', None, None, None, None, None, None), ('3781', '4453840', '1050302153', None, None, None, None, None, None), ('3781', '4453840', '1050302152', None, None, None, None, None, None), ('3781', '4453840', '1050302146', None, None, None, None, None, None), ('3781', '4453840', '1050302113', None, None, None, None, None, None), ('3781', '4453840', '1050302110', None, None, None, None, None, None), ('3781', '4453840', '1050302106', None, None, None, None, None, None)]
time used for this insertion : 0.013555288314819336
 save_final 

save missing photos in datou_result :
After save, about to update current !
Result test cod : {4453840: ([[0, 1, 2, 3], [4, 5, 6]], {'Rungis_jrm': [(0, 1), (1, 2)]}, {4453926: {'list_of_photos': [1050302106, 1050302146, 1050302110, 1050302152], 'hashtag': 'jrm'}, 4652336: {'list_of_photos': [1050302113, 1050302153, 1050302186], 'hashtag': 'jrm'}}, {2107757407: 7}, {'amount_uploaded_and_tagged': {'17082021': {'nb_upload': 7, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}, 'map_amount_per_hashtag': {'Rungis_jrm': [(0, 1), (1, 2)]}, 'count': {'Rungis_jrm': [(0, 1), (1, 2)]}})}|

############################### TEST cod_download  ################################
warning , we can't find thcl infos in json_data
warning , we can't find pdt infos in json_data
[]
[]

############################### TEST sendgrid  ################################
test sendgrid
senders@fotonower.com
no problem of authentification, for test if the email can be received, try with a real receiver
fin du test de sendgrid

############################### TEST rym_consolidate  ################################
test_rym_consolidate

    DELETE FROM MTRUser.portfolio_carac_ratio WHERE portfolio_id = 4709558 AND hashtag_type = 4016
    
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3818

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3818
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3818
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3818
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 9321 copy_chis is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 9357 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 9318 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition !
WARNING : number of outputs for step 9318 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 9410 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 9319 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 9328 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs !
Step 9327 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs !
Step 9326 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 9321 have datatype=11 whereas input 0 of step 9318 have datatype=2
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 9357 doesn't seem to be define in the database(
WARNING : type of input 1 of step 9318 doesn't seem to be define in the database(
WARNING : type of output 1 of step 9357 doesn't seem to be define in the database(
WARNING : type of input 3 of step 9319 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 9410 doesn't seem to be define in the database(
WARNING : output 1 of step 9318 have datatype=7 whereas input 1 of step 9410 have datatype=None
WARNING : type of output 1 of step 9410 doesn't seem to be define in the database(
WARNING : type of input 4 of step 9319 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 9410 have datatype=10 whereas input 3 of step 9326 have datatype=6
WARNING : type of output 1 of step 9321 doesn't seem to be define in the database(
WARNING : type of input 1 of step 9357 doesn't seem to be define in the database(
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : copy_chis, consolidate_hashtags_from_manual_portfolio, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final, blur_detection, brightness, send_mail_cod
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4709558) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4709558)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1057289546, 'portfolio_id': 4709558}, {'photo_id': 1057289467, 'portfolio_id': 4709558}]
 map_portfolio_id_photo_id: {4709558: [1057289546, 1057289467]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1057289546
begin to download photo : 1057289467
download finish for photo 1057289467
download finish for photo 1057289546
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 2 ; length of list_pids : 2 ; length of list_args : 2
##### After load_data_input 
time to download the photos : 0.21723651885986328
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  8
step1:copy_chis
Wed Feb 26 16:44:08 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step datou_step_copy_crop
processing picture : temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg
processing picture : temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1057289467,1057289546) and `type` in (3326)  and score>0.7and hashtag_id in (2107755846,492622729) 
Loaded 0 chid ids of type : 0
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in ()
 map_nb_chis : {}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.005587100982666016
time spend to save output : 3.6716461181640625e-05
total time spend for step 1 : 0.005623817443847656

step2:consolidate_hashtags_from_manual_portfolio
Wed Feb 26 16:44:08 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step consolidate_hashtags_from_manual_portfolio
Iterating over portfolio : 4709558
on est dans le IF portfolio mere 26T
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4709558 AND  mptpi.`type`=4016 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','etiquette','bouchon','pehd','barquette_avec_film','metal','pet_fonce','aluminium','carton','film_plastique','papier','autre')) 
To do
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4709558 AND  mptpi.`type`=4016 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','etiquette','bouchon','pehd','barquette_avec_film','metal','pet_fonce','aluminium','carton','film_plastique','papier','autre')) 
To do
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4683188 AND  mptpi.`type`=4016 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','etiquette','bouchon','pehd','barquette_avec_film','metal','pet_fonce','aluminium','carton','film_plastique','papier','autre')) 
To do
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673496 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057582145,1057582187,1057582185,1057582184,1057582179,1057582178,1057582177,1057582159,1057582158,1057582157,1057582156,1057582153,1057582146,1057582188,1057582136,1057582135,1057582133,1057582132,1057576428,1057576420,1057576419,1057576417,1057576412,1057576411,1057576410,1057632277,1057633188,1057633187,1057633186,1057633185,1057633183,1057633181,1057632407,1057632406,1057632403,1057632399,1057632283,1057576409,1057632274,1057632234,1057632230,1057632224,1057588202,1057588194,1057588193,1057588192,1057588191,1057582197,1057582196,1057570985,1057574086,1057574082,1057574081,1057574079,1057574077,1057574076,1057571007,1057571006,1057571005,1057571004,1057571003,1057574101,1057570984,1057570982,1057570981,1057570977,1057570968,1057570967,1057570966,1057570965,1057570960,1057570959,1057570958,1057574143,1057576404,1057576403,1057576401,1057576400,1057576399,1057576398,1057576397,1057576391,1057576371,1057574152,1057574144,1057563188,1057574140,1057574130,1057574129,1057574128,1057574127,1057574123,1057574122,1057574120,1057574104,1057574103,1057574102)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673496, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673496;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673496 and b.mtr_portfolio_id = 4673496;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673496, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673496;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673496 and b.mtr_portfolio_id = 4673496;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673497 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057576405,1057632500,1057632494,1057632391,1057632323,1057632241,1057582194,1057582175,1057582167,1057582131,1057576425,1057576424,1057576418,1057576416,1057576406,1057570974,1057576392,1057576390,1057576383,1057574169,1057574159,1057574158,1057574137,1057574136,1057574135,1057574096,1057574075,1057574074,1057570988)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673497, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673497;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673497 and b.mtr_portfolio_id = 4673497;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673497, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673497;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673497 and b.mtr_portfolio_id = 4673497;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673498 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057570963,1057570964,1057570991,1057574097,1057574098,1057576375,1057576376,1057576408,1057582138,1057582139,1057582166,1057582190,1057582192,1057632392)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673498, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673498;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673498 and b.mtr_portfolio_id = 4673498;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673498, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673498;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673498 and b.mtr_portfolio_id = 4673498;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673500 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057574091,1057574092)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673500, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673500;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673500 and b.mtr_portfolio_id = 4673500;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673500, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673500;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673500 and b.mtr_portfolio_id = 4673500;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673501 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057576423)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673501, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673501;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673501 and b.mtr_portfolio_id = 4673501;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673501, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673501;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673501 and b.mtr_portfolio_id = 4673501;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673502 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673502, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673502;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673502 and b.mtr_portfolio_id = 4673502;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673502, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673502;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673502 and b.mtr_portfolio_id = 4673502;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673503 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057582143,1057582174,1057582170,1057582169,1057582165,1057582164,1057582155,1057582152,1057582144,1057582176,1057582137,1057582134,1057576427,1057576413,1057576396,1057576395,1057576394,1057588205,1057633191,1057632397,1057632366,1057632286,1057632199,1057588211,1057588209,1057588208,1057576393,1057588204,1057588203,1057588196,1057588190,1057588189,1057588188,1057582182,1057570992,1057574087,1057574085,1057574084,1057574083,1057571001,1057571000,1057570999,1057570998,1057574088,1057570990,1057570989,1057570973,1057570971,1057563192,1057563191,1057563190,1057563189,1057574089,1057574093,1057574112,1057574113,1057574114,1057574116,1057574124,1057574125,1057574148,1057574149,1057574150,1057574151,1057574161,1057574163,1057576386)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673503, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673503;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673503 and b.mtr_portfolio_id = 4673503;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673503, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673503;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673503 and b.mtr_portfolio_id = 4673503;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673504 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673504, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673504;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673504 and b.mtr_portfolio_id = 4673504;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673504, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673504;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673504 and b.mtr_portfolio_id = 4673504;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673505 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673505, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673505;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673505 and b.mtr_portfolio_id = 4673505;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673505, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673505;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673505 and b.mtr_portfolio_id = 4673505;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673506 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057570969,1057570994,1057570995,1057574117,1057574131,1057574132,1057574133,1057574134,1057574155,1057574165,1057574166,1057582181)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673506, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673506;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673506 and b.mtr_portfolio_id = 4673506;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673506, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673506;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673506 and b.mtr_portfolio_id = 4673506;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673507 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057457388,1057463440,1057570268,1057570417,1057570431,1057570432,1057571011,1057573142,1057573356,1057574626,1057584527)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673507, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673507;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673507 and b.mtr_portfolio_id = 4673507;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673507, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673507;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673507 and b.mtr_portfolio_id = 4673507;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673508 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=3326
        AND csp.sub_photo_id IN (1057073029,1057073040,1057221288,1057222012,1057223450,1057225324,1057227849,1057294428,1057294430,1057294479,1057294492,1057294584,1057294586,1057299396,1057299399,1057299402,1057299505,1057300117,1057300166,1057300170,1057304003,1057312415,1057312448,1057312454,1057312455,1057312468,1057312470,1057312472,1057312479,1057312504,1057348152,1057348172,1057348176,1057348178,1057348335,1057348339,1057348380,1057348384,1057348418,1057348426,1057348427,1057348428,1057348433,1057348470,1057348473,1057348489,1057348500,1057348501,1057348506,1057348530,1057348536,1057348549,1057348556,1057348560,1057348635,1057348659,1057348686,1057348691,1057355861,1057449649,1057449651,1057451461,1057453337,1057453354,1057453360,1057453384,1057453385,1057453526,1057453550,1057453596,1057453601,1057453620,1057453621,1057453633,1057453658,1057453664,1057453670,1057453675,1057454690,1057454696,1057454698,1057454699,1057454708,1057454709,1057454757,1057454761,1057454764,1057454765,1057454848,1057454851,1057454892,1057454948,1057454975,1057454983,1057456271,1057456312,1057456326,1057456328,1057456598,1057456600,1057456615,1057456619,1057456620,1057456650,1057456663,1057456664,1057456674,1057456695,1057457092,1057457093,1057457098,1057457143,1057457268,1057457273,1057457274,1057457315,1057457352,1057457382,1057457419,1057457421,1057457434,1057457488,1057457510,1057457626,1057457632,1057457688,1057457755,1057457796,1057457807,1057457819,1057457833,1057457837,1057457880,1057457932,1057457934,1057457964,1057461673,1057461702,1057461703,1057461752,1057463419,1057463447,1057463462,1057463463,1057463464,1057463466,1057463469,1057463470,1057463471,1057463485,1057463486,1057463496,1057463499,1057463511,1057463513,1057463909,1057463910,1057463922,1057463923,1057463925,1057463928,1057463929,1057463931,1057463970,1057463971,1057463980,1057463986,1057463987,1057464014,1057464077,1057464079,1057464081,1057464086,1057464101,1057464112,1057464117,1057464121,1057466084,1057466086,1057469463,1057469586,1057469587,1057469621,1057469623,1057469625,1057469640,1057469642,1057469664,1057469665,1057469671,1057469673,1057469674,1057469675,1057469686,1057469724,1057469726,1057469731,1057469736,1057469747,1057469753,1057469754,1057469769,1057469784,1057469829,1057470805,1057470814,1057470823,1057470824,1057470825,1057470918,1057470936,1057470976,1057470979,1057470991,1057470992,1057471010,1057471011,1057471014,1057471019,1057471025,1057471026,1057471052,1057471069,1057471070,1057471111,1057471193,1057471198,1057471205,1057471230,1057471238,1057471246,1057471254,1057471257,1057472184,1057472188,1057472200,1057472204,1057472210,1057472217,1057472228,1057472230,1057472231,1057472274,1057472287,1057472290,1057472339,1057472353,1057472356,1057472365,1057472366,1057472368,1057472400,1057472422,1057472423,1057472424,1057474996,1057474998,1057474999,1057475026,1057475045,1057475116,1057475205,1057475206,1057475714,1057476270,1057476287,1057476299,1057563187,1057569880,1057569932,1057569936,1057569942,1057569948,1057570016,1057570034,1057570036,1057570046,1057570088,1057570135,1057570141,1057570148,1057570150,1057570156,1057570172,1057570215,1057570219,1057570226,1057570230,1057570240,1057570241,1057570244,1057570246,1057570256,1057570257,1057570269,1057570278,1057570284,1057570305,1057570326,1057570352,1057570354,1057570389,1057570392,1057570395,1057570396,1057570399,1057570401,1057570436,1057570955,1057570956,1057570961,1057570962,1057570970,1057570976,1057570978,1057570979,1057570980,1057570993,1057570996,1057571008,1057573105,1057573106,1057573107,1057573119,1057573133,1057573159,1057573184,1057573188,1057573196,1057573206,1057573207,1057573210,1057573238,1057573242,1057573255,1057573258,1057573265,1057573266,1057573267,1057573268,1057573277,1057573279,1057573283,1057573295,1057573329,1057573374,1057573397,1057574078,1057574080,1057574100,1057574107,1057574109,1057574110,1057574126,1057574145,1057574146,1057574153,1057574156,1057574157,1057574160,1057574167,1057574168,1057574203,1057574207,1057574210,1057574223,1057574240,1057574311,1057574325,1057574396,1057574399,1057574449,1057574460,1057574501,1057574544,1057574545,1057574563,1057574564,1057574586,1057574598,1057574621,1057574624,1057574625,1057574635,1057574636,1057574640,1057576372,1057576373,1057576374,1057576377,1057576378,1057576379,1057576380,1057576382,1057576384,1057576385,1057576387,1057576389,1057576426,1057578819,1057578821,1057578825,1057578832,1057578847,1057578858,1057578864,1057578874,1057578914,1057578915,1057578917,1057578918,1057578929,1057578947,1057578973,1057579057,1057579075,1057579114,1057579126,1057579146,1057579217,1057579219,1057579373,1057579395,1057579397,1057579429,1057579433,1057582130,1057582140,1057582141,1057582148,1057582149,1057582150,1057582151,1057582168,1057582171,1057582180,1057582183,1057584284,1057584285,1057584302,1057584308,1057584310,1057584322,1057584331,1057584355,1057584372,1057584376,1057584382,1057584386,1057584393,1057584404,1057584409,1057584411,1057584443,1057584445,1057584448,1057584501,1057584525,1057584531,1057584534,1057584548,1057584549,1057584571,1057584572,1057584596,1057584597,1057584598,1057584641,1057584655,1057587605,1057587606,1057587671,1057587691,1057588195,1057588197,1057588198,1057588199,1057588206,1057588207,1057632208,1057632242,1057632311,1057632357,1057632359,1057632370,1057632380,1057632387,1057632429,1057633182,1057633189,1057633190)
        
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 4673508, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673508;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673508 and b.mtr_portfolio_id = 4673508;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 4673508, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 4673508;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =4673508 and b.mtr_portfolio_id = 4673508;
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (572316,572317,572315,572314,572313,572312,572306,572311,572310,572309,572308,572307);
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (572316,572317,572315,572314,572313,572312,572306,572311,572310,572309,572308,572307);
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (561088,561089,561087,561086,561082,561081,561075,561084,561079,561078,561077,561076);
To test !
Use context local managing function !

After datou_step_exec type output : <class 'str'>

time spend for datou_step_exec : 4.269798040390015
time spend to save output : 9.870529174804688e-05
total time spend for step 2 : 4.269896745681763

step3:rle_unique_nms_with_priority
Wed Feb 26 16:44:12 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : ['temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg']
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : ['temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg
on traite la photo : temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1057289467,1057289546) and `type` in (4016) and hashtag_id in (492622729,494826614,492668766,2107756122,492774966,493546845,2107755900,492628673,2107756859,628944319,492645504,492636447,2107755846,2107755527,493012381) 
Loaded 65 chid ids of type : 4016
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2211485914,2211485915,2211485916,2211485917,2211485918,2211485919,2211485920,2211485921,2211485922,2211485923,2211485924,2211485925,2211485926,2211485927,2211485928,2211485929,2241206167,2241206166,2211485930,2211485931,2211485932,2211485933,2211485934,2211485935,2211485936,2211485937,2211485938,2211485939,2211485940,2211485941,2211485942,2211485943,2211485944,2211486029,2211486030,2211486031,2211486032,2211486033,2211486034,2211486035,2211486036,2211486037,2211486038,2241206168,2241206169,2211486039,2211486040,2211486041,2211486042,2211486043,2211486044,2211486045,2211486046,2211486047,2211486048,2211486049,2211486050,2211486051,2211486052,2211486053,2211486054,2211486055,2211486056,2211486057,2211486058)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2211485914,2211485915,2211485916,2211485917,2211485918,2211485919,2211485920,2211485921,2211485922,2211485923,2211485924,2211485925,2211485926,2211485927,2211485928,2211485929,2241206167,2241206166,2211485930,2211485931,2211485932,2211485933,2211485934,2211485935,2211485936,2211485937,2211485938,2211485939,2211485940,2211485941,2211485942,2211485943,2211485944,2211486029,2211486030,2211486031,2211486032,2211486033,2211486034,2211486035,2211486036,2211486037,2211486038,2241206168,2241206169,2211486039,2211486040,2211486041,2211486042,2211486043,2211486044,2211486045,2211486046,2211486047,2211486048,2211486049,2211486050,2211486051,2211486052,2211486053,2211486054,2211486055,2211486056,2211486057,2211486058)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2211485914,2211485915,2211485916,2211485917,2211485918,2211485919,2211485920,2211485921,2211485922,2211485923,2211485924,2211485925,2211485926,2211485927,2211485928,2211485929,2241206167,2241206166,2211485930,2211485931,2211485932,2211485933,2211485934,2211485935,2211485936,2211485937,2211485938,2211485939,2211485940,2211485941,2211485942,2211485943,2211485944,2211486029,2211486030,2211486031,2211486032,2211486033,2211486034,2211486035,2211486036,2211486037,2211486038,2241206168,2241206169,2211486039,2211486040,2211486041,2211486042,2211486043,2211486044,2211486045,2211486046,2211486047,2211486048,2211486049,2211486050,2211486051,2211486052,2211486053,2211486054,2211486055,2211486056,2211486057,2211486058)
nb_obj : 0
nb_hashtags :  3
time to prepare the origin masks  : 9.885297775268555
create new chi : 5.793571472167969e-05
 proportion hashtag : environment 0.29592690382801784
 proportion hashtag : pet_clair 0.39099757399905694
 proportion hashtag : etiquette 0.0016148780435528121
time to delete rle : 0.3716158866882324
save time : 2.47955322265625e-05
nb_obj : 0
nb_hashtags :  3
time to prepare the origin masks  : 11.132895946502686
create new chi : 6.151199340820312e-05
 proportion hashtag : pet_clair 0.5358597032000172
 proportion hashtag : environment 0.16202715754672498
 proportion hashtag : etiquette 0.004007054290980795
time to delete rle : 0.15191268920898438
save time : 4.863739013671875e-05
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {1057289467: (0.0, 'Should be the crop_list due to order', 0.0), 1057289546: (0.0, 'Should be the crop_list due to order', 0.0)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 21.85855197906494
time spend to save output : 0.00041961669921875
total time spend for step 3 : 21.85897159576416

step4:ventilate_hashtags_in_portfolio
Wed Feb 26 16:44:34 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step ventilate_hashtags_in_portfolio : To implement !
Iterating over portfolio : 4709558
get user id for portfolio 4709558
get sub ptf for main ptf 4709558, type 4016 and hashtags ['environnement', 'mal_croppe', 'pet_clair', 'etiquette', 'bouchon', 'pehd', 'barquette_avec_film', 'metal', 'pet_fonce', 'aluminium', 'carton', 'film_plastique', 'papier', 'autre']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4709558 AND  mptpi.`type`=4016 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('environnement','mal_croppe','pet_clair','etiquette','bouchon','pehd','barquette_avec_film','metal','pet_fonce','aluminium','carton','film_plastique','papier','autre'))  AND  mptpi.`min_score`=0.7
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=4709558 AND  mptpi.`type`=4016 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('environnement','mal_croppe','pet_clair','etiquette','bouchon','pehd','barquette_avec_film','metal','pet_fonce','aluminium','carton','film_plastique','papier','autre'))  AND  mptpi.`min_score`=0.7
To do
returned map {'mal_croppe': {'main_port_id': 4709558, 'sub_port_id': 4673494, 'hashtag': 'mal_croppe', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572305, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2021, 10, 28, 16, 30, 19)}, 'papier': {'main_port_id': 4709558, 'sub_port_id': 4673496, 'hashtag': 'papier', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572316, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 44, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 44, 12)}, 'autre': {'main_port_id': 4709558, 'sub_port_id': 4673497, 'hashtag': 'autre', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572317, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 44, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 44, 12)}, 'film_plastique': {'main_port_id': 4709558, 'sub_port_id': 4673498, 'hashtag': 'film_plastique', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572315, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 44, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 44, 12)}, 'carton': {'main_port_id': 4709558, 'sub_port_id': 4673500, 'hashtag': 'carton', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572314, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 44, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 44, 12)}, 'aluminium': {'main_port_id': 4709558, 'sub_port_id': 4673501, 'hashtag': 'aluminium', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572313, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 44, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 44, 12)}, 'pet_fonce': {'main_port_id': 4709558, 'sub_port_id': 4673502, 'hashtag': 'pet_fonce', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572312, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 44, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 44, 12)}, 'pet_clair': {'main_port_id': 4709558, 'sub_port_id': 4673503, 'hashtag': 'pet_clair', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572306, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 44, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 44, 12)}, 'metal': {'main_port_id': 4709558, 'sub_port_id': 4673504, 'hashtag': 'metal', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572311, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 44, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 44, 12)}, 'barquette_avec_film': {'main_port_id': 4709558, 'sub_port_id': 4673505, 'hashtag': 'barquette_avec_film', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572310, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 44, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 44, 12)}, 'pehd': {'main_port_id': 4709558, 'sub_port_id': 4673506, 'hashtag': 'pehd', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572309, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 44, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 44, 12)}, 'bouchon': {'main_port_id': 4709558, 'sub_port_id': 4673507, 'hashtag': 'bouchon', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572308, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 44, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 44, 12)}, 'etiquette': {'main_port_id': 4709558, 'sub_port_id': 4673508, 'hashtag': 'etiquette', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 572307, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 44, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 44, 12)}, 'environnement': {'main_port_id': 4709558, 'sub_port_id': 4709559, 'hashtag': 'environnement', 'pht': 4016, 'min_score': 0.7, 'mtr_user_id': 970, 'id': 572318, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 10), 'last_updated_at_asc': datetime.datetime(2021, 10, 28, 16, 34, 8)}}
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673494 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='mal_croppe'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673496 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='papier'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673497 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673498 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='film_plastique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673500 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='carton'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673501 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='aluminium'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673502 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_fonce'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673503 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_clair'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673504 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='metal'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673505 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='barquette_avec_film'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673506 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pehd'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673507 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='bouchon'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4673508 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='etiquette'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 4709559 , sub_photo_id, 970,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=4709558
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.7
AND chi.type=4016
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='environnement'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.1985480785369873
time spend to save output : 0.00010585784912109375
total time spend for step 4 : 0.1986539363861084

step5:final
Wed Feb 26 16:44:34 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
complete output_args for input 2 : {1057289467: (0.0, 'Should be the crop_list due to order', 0.0), 1057289546: (0.0, 'Should be the crop_list due to order', 0.0)}
 input_args_next_step : {1057289467: ()}
 output_args : {1057289467: (0.0, 'Should be the crop_list due to order', 0.0), 1057289546: (0.0, 'Should be the crop_list due to order', 0.0)}
 args : 1057289467
 depend.output_id : 0
 input_args_next_step : {1057289467: (0.0,), 1057289546: ()}
 output_args : {1057289467: (0.0, 'Should be the crop_list due to order', 0.0), 1057289546: (0.0, 'Should be the crop_list due to order', 0.0)}
 args : 1057289546
 depend.output_id : 0
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : (0.0,)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step final !
 query to retrieve results for portfolio 4709558 : SELECT photo_id, hashtag_id, ratio from MTRPhoto.photo_carac_ratio where hashtag_type = 4016  and photo_id in (1057289467,1057289546);
insert ignore into MTRUser.portfolio_carac_ratio (portfolio_id, hashtag_type, hashtag_id, value) values (%s,%s,%s,%s) on DUPLICATE KEY UPDATE value=VALUES(value)

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.023024559020996094
time spend to save output : 5.650520324707031e-05
total time spend for step 5 : 0.023081064224243164

step6:blur_detection
Wed Feb 26 16:44:34 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
inside step blur_detection
toutes les photos sont déjà traitées, on saute les calculs
score_blur_detection : {1057289546: [(1057289546, -4.333383571220791, 492609224)], 1057289467: [(1057289467, -4.424440243329978, 492609224)]}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.00439000129699707
time spend to save output : 5.602836608886719e-05
total time spend for step 6 : 0.0044460296630859375

step7:brightness
Wed Feb 26 16:44:34 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
inside step calcul brightness
toutes les photos sont déjà traitées, on saute les calculs
brightness_score : {1057289467: [(1057289467, -0.4062218880770088, 496442774)], 1057289546: [(1057289546, -0.5998675991292823, 501862349)]}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.0048372745513916016
time spend to save output : 3.147125244140625e-05
total time spend for step 7 : 0.004868745803833008

step8:send_mail_cod
Wed Feb 26 16:44:34 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : {1057289546: [(1057289546, -4.333383571220791, 492609224)], 1057289467: [(1057289467, -4.424440243329978, 492609224)]}
 input_args_next_step : {1057289546: ()}
 output_args : {1057289546: [(1057289546, -4.333383571220791, 492609224)], 1057289467: [(1057289467, -4.424440243329978, 492609224)]}
 args : 1057289546
 depend.output_id : 0
 input_args_next_step : {1057289546: ((1057289546, -4.333383571220791, 492609224),), 1057289467: ()}
 output_args : {1057289546: [(1057289546, -4.333383571220791, 492609224)], 1057289467: [(1057289467, -4.424440243329978, 492609224)]}
 args : 1057289467
 depend.output_id : 0
complete output_args for input 1 : {1057289467: [(1057289467, -0.4062218880770088, 496442774)], 1057289546: [(1057289546, -0.5998675991292823, 501862349)]}
 input_args_next_step : {1057289546: ((1057289546, -4.333383571220791, 492609224),), 1057289467: ((1057289467, -4.424440243329978, 492609224),)}
 output_args : {1057289467: [(1057289467, -0.4062218880770088, 496442774)], 1057289546: [(1057289546, -0.5998675991292823, 501862349)]}
 args : 1057289467
 depend.output_id : 0
 input_args_next_step : {1057289546: ((1057289546, -4.333383571220791, 492609224),), 1057289467: ((1057289467, -4.424440243329978, 492609224), (1057289467, -0.4062218880770088, 496442774))}
 output_args : {1057289467: [(1057289467, -0.4062218880770088, 496442774)], 1057289546: [(1057289546, -0.5998675991292823, 501862349)]}
 args : 1057289546
 depend.output_id : 0
complete output_args for input 2 : {1057289467: ('0.009511382621534484',), 1057289546: ('0.009511382621534484',)}
 input_args_next_step : {1057289546: ((1057289546, -4.333383571220791, 492609224), (1057289546, -0.5998675991292823, 501862349)), 1057289467: ((1057289467, -4.424440243329978, 492609224), (1057289467, -0.4062218880770088, 496442774))}
 output_args : {1057289467: ('0.009511382621534484',), 1057289546: ('0.009511382621534484',)}
 args : 1057289467
 depend.output_id : 0
 input_args_next_step : {1057289546: ((1057289546, -4.333383571220791, 492609224), (1057289546, -0.5998675991292823, 501862349)), 1057289467: ((1057289467, -4.424440243329978, 492609224), (1057289467, -0.4062218880770088, 496442774), '0.009511382621534484')}
 output_args : {1057289467: ('0.009511382621534484',), 1057289546: ('0.009511382621534484',)}
 args : 1057289546
 depend.output_id : 0
Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output
complete output_args for input 3 : {4709558: [{'mal_croppe': 4673494, 'papier': 4673496, 'autre': 4673497, 'film_plastique': 4673498, 'carton': 4673500, 'aluminium': 4673501, 'pet_fonce': 4673502, 'pet_clair': 4673503, 'metal': 4673504, 'barquette_avec_film': 4673505, 'pehd': 4673506, 'bouchon': 4673507, 'etiquette': 4673508, 'environnement': 4709559}]}
 input_args_next_step : {1057289546: ((1057289546, -4.333383571220791, 492609224), (1057289546, -0.5998675991292823, 501862349), '0.009511382621534484'), 1057289467: ((1057289467, -4.424440243329978, 492609224), (1057289467, -0.4062218880770088, 496442774), '0.009511382621534484'), 4709558: ()}
 output_args : {4709558: [{'mal_croppe': 4673494, 'papier': 4673496, 'autre': 4673497, 'film_plastique': 4673498, 'carton': 4673500, 'aluminium': 4673501, 'pet_fonce': 4673502, 'pet_clair': 4673503, 'metal': 4673504, 'barquette_avec_film': 4673505, 'pehd': 4673506, 'bouchon': 4673507, 'etiquette': 4673508, 'environnement': 4709559}]}
 args : 4709558
 depend.output_id : 0
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :3, first value : ((1057289546, -4.333383571220791, 492609224), (1057289546, -0.5998675991292823, 501862349), '0.009511382621534484')
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1740584647_3116993_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1740584647_3116993_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
dans la step send mail cod
work_area:  /home/admin/temp
in order to get the selector url, please entre the license of selector
results_COD_P4709558_26-02-2025_16_44_34.pdf
4673494

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673494  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057570975: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225448_0.png', 1057570987: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225431_0.png', 1057574154: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251857_0.png', 1057582163: '1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208357088_0.png', 1057582173: '1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208357090_0.png', 1057582191: '1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208357166_0.png'}
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.imagette46734941740584674/
imagette46734941740584674/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251857_0.png.png
imagette46734941740584674/1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208357166_0.png.png
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wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c1bc91312417f9a9bdb4a199149ee0d7_68395095.png
imagette46734941740584674
4673496

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673496  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057563188: '1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208132943_0.png', 1057570958: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214590_0.png', 1057570959: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225368_0.png', 1057570960: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214622_0.png', 1057570965: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214598_0.png', 1057570966: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225377_0.png', 1057570967: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225392_0.png', 1057570968: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214610_0.png', 1057570977: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225422_0.png', 1057570981: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208214637_0.png', 1057570982: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225426_0.png', 1057570984: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225442_0.png', 1057570985: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208214652_0.png', 1057571003: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225487_0.png', 1057571004: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214684_0.png', 1057571005: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214691_0.png', 1057571006: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225459_0.png', 1057571007: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214676_0.png', 1057574076: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244016_0.png', 1057574077: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251706_0.png'}
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.imagette46734961740584675/
imagette46734961740584675/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244016_0.png.png
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wget -O 20.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/6212b28d168de46f1c6294bd8b60d961_90895624.png
imagette46734961740584675
4673497

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673497  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057570974: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225380_0.png', 1057570988: '1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208214662_0.png', 1057574074: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244046_0.png', 1057574075: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251730_0.png', 1057574096: '1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251768_0.png', 1057574135: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208244113_0.png', 1057574136: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251798_0.png', 1057574137: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251802_0.png', 1057574158: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251862_0.png', 1057574159: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208244157_0.png', 1057574169: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251865_0.png', 1057576383: '1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208269246_0.png', 1057576390: '1634827697_407544_1057556393_bbf87e4ef2415091c2a75db8671410b3_rle_crop_2208269289_0.png', 1057576392: '1634827697_407544_1057556393_bbf87e4ef2415091c2a75db8671410b3_rle_crop_2208267172_0.png', 1057576405: '1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269321_0.png', 1057576406: '1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269296_0.png', 1057576416: '1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269334_0.png', 1057576418: '1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269297_0.png', 1057576424: '1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208269345_0.png', 1057576425: '1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208267250_0.png'}
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.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/56b63b142fc021592b45e2ffb2d9fb73_87430553.png
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.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/bdb53607e396a709749146495b5e83b0_87115423.png
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.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c69016b3777c97bc1b95844a22d5e2b5_29844601.png
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.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/1d547085c2252a063c797477602404c9_42054929.png
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.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/af68e6cb843eb19351f7ee5a0746f113_62789911.png
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.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c449a54e1f6c074a214ef183d832255a_93803103.png
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.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/7e027bf8bf77dfeb0879242ac73fd5a7_96634347.png
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.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/21accb9eb6250f27be14227d54ff1eb7_23373001.png
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.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/89983e4cb4da1d543239e6fbf932af6b_49375699.png
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.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/916e7810af3e64973872cfeb5683f4d2_23439207.png
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.wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ec66918522463094aca9064fe3f8e4af_67320871.png
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.wget -O 12.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/a1c3ee7692c20b1494d84a38e12ad510_69327578.png
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.wget -O 13.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/f1373b6ae47518d8c821d5acd404e67e_6933585.png
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.wget -O 14.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/e536710929386214dcbc912f426b7479_60142785.png
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.wget -O 15.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/f15093cc4c79b389b5f664815033d8a6_34332161.png
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.wget -O 16.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/96f0edba08a4b4a2df9af33f9cb8b671_98677308.png
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.wget -O 17.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/6c7524f44a6d893ddebcc429aefb2838_17957287.png
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.wget -O 18.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/a42e0e0ace388a50d1f7ef286ebe576e_37610968.png
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.wget -O 19.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ff18d6f86eea0e0455cd7336810915ee_66459011.png
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.imagette46734971740584677/
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wget -O 20.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/a00c7d1a2c8432a6364d68164c278304_35227740.png
imagette46734971740584677
4673498

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673498  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057570963: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214620_0.png', 1057570964: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225394_0.png', 1057570991: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225451_0.png', 1057574097: '1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208244055_0.png', 1057574098: '1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251757_0.png', 1057576375: '1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208269241_0.png', 1057576376: '1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208267146_0.png', 1057576408: '1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208267205_0.png', 1057582138: '1634829704_286060_1057555409_480dc2121e901ae3d0c4d2bdd163b6fb_rle_crop_2208356978_0.png', 1057582139: '1634829704_286060_1057555409_480dc2121e901ae3d0c4d2bdd163b6fb_rle_crop_2208355531_0.png', 1057582166: '1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208355608_0.png', 1057582190: '1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208357152_0.png', 1057582192: '1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208355683_0.png', 1057632392: '1634847099_952197_1057556393_bbf87e4ef2415091c2a75db8671410b3_rle_crop_2208555525_0.png'}
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.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/cc278c36f86af3345934162953249fd1_2706330.png
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.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/74d3a151e2773eb4d6ccb2a3fe8baf96_75025292.png
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.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/2d55fda3b650351c291c5d542349d5da_97358446.png
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.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/f483aaeaa7e3e8c2540219413922a967_40191638.png
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.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/12928408b61322ad9e6c2fbd49234cb0_44090343.png
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.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/876136909d0101fd27d749c8d722f3ce_97958763.png
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.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/d4d6b00e7d2e5b047cff3d1791f16685_3122747.png
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.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/360a6759b720b0d1911741a34b50b2e9_71948049.png
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.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/8c4f3943a1299e35b3e5026edf798404_54239833.png
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.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/201c56fd7a3c61a4ec27c6113aa314cf_22732231.png
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.wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ac2a3ad76079b7f6ea40225ec0b9517d_53326661.png
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.wget -O 12.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/74f261551f75ba548de2c59b0a91059f_82401762.png
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.wget -O 13.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/efb3fd6e36f94fe4eb3e266347e3af2d_68231292.png
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.imagette46734981740584679/
imagette46734981740584679/1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208355683_0.png.png
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imagette46734981740584679/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214620_0.png.png
imagette46734981740584679/1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208355608_0.png.png
imagette46734981740584679/1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208267146_0.png.png
imagette46734981740584679/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208244055_0.png.png
imagette46734981740584679/1634829704_286060_1057555409_480dc2121e901ae3d0c4d2bdd163b6fb_rle_crop_2208355531_0.png.png
imagette46734981740584679/1634847099_952197_1057556393_bbf87e4ef2415091c2a75db8671410b3_rle_crop_2208555525_0.png.png
imagette46734981740584679/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225451_0.png.png
imagette46734981740584679/1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208357152_0.png.png
imagette46734981740584679/1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208269241_0.png.png
wget -O 14.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/f570aad44611f3421897ccd23ef75523_48559113.png
imagette46734981740584679
4673500

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673500  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057574091: '1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251765_0.png', 1057574092: '1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208244068_0.png'}
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.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ec55449e5491598066251ba43d8ff5b5_49204074.png
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.imagette46735001740584680/
imagette46735001740584680/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208244068_0.png.png
imagette46735001740584680/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251765_0.png.png
wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/114f7f7115589424559ae6c2873adb29_25954215.png
imagette46735001740584680
4673501

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673501  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057576423: '1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208269364_0.png'}
change filename to text
.imagette46735011740584681/
imagette46735011740584681/1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208269364_0.png.png
imagette46735021740584681/
wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/b8f11e2d4082d97201c583f79c001cb4_46151338.png
imagette46735011740584681
4673502

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673502  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {}
imagette46735021740584681
4673503

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673503  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057563189: '1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133134_0.png', 1057563190: '1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133122_0.png', 1057563191: '1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133133_0.png', 1057563192: '1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208132944_0.png', 1057570971: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225403_0.png', 1057570973: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225401_0.png', 1057570989: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225479_0.png', 1057570990: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214696_0.png', 1057570992: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225483_0.png', 1057570998: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225462_0.png', 1057570999: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214682_0.png', 1057571000: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225492_0.png', 1057571001: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214689_0.png', 1057574083: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251710_0.png', 1057574084: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244022_0.png', 1057574085: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244031_0.png', 1057574087: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251728_0.png', 1057574088: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244040_0.png', 1057574089: '1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244042_0.png', 1057574093: '1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251769_0.png'}
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.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/97d395946ab922658bfff3f527366008_90017065.png
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.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/23f57c437d2b2d1d9007ae5801d87c30_88364048.png
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.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/853f151ea4323afd17d8d99d455e13c8_8373503.png
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.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/f50ae983d3b612ed46c0013da35d453c_66959063.png
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.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/55e2f3389322c69bc4dfa34508417775_36773929.png
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.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/3a73a1036f1a6f13681b9215d5b5e240_71488194.png
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.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/03d75be4de20c2734667893c6d42db7a_68314991.png
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.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/0adb42bf3f39a97de263e592a9d20e24_98494619.png
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.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c258a5634fecd25693eb2dbe9ab0de0a_69807007.png
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.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/05f9c7907ad310c7dfcf65802a9f0447_11605693.png
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.wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/d8f3834b95b6c8e54713e90bdd68fca1_23557804.png
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.wget -O 12.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/68e22347573daba546b87cd908aa1717_40183792.png
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.wget -O 13.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/7643aeb82c1a0bc5bf040243f56a772a_79948262.png
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.wget -O 14.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/d06680e3cc5fb28ef74b2ee2aa9ffe03_46605634.png
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.wget -O 15.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/7f1cf536fca32c35cccc55aa9650d295_53876151.png
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.wget -O 16.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/b9353940500d4f8569fb79849bde4147_70407709.png
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.wget -O 17.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/851b68a752b3b3482b32e4c21a2ab812_31921638.png
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.wget -O 18.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/bf01936172e3a670b5acb02c7686a080_81738844.png
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.wget -O 19.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/bb972af183a20326bf23716e4673abc1_83873158.png
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.imagette46735031740584681/
imagette46735031740584681/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244022_0.png.png
imagette46735031740584681/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251710_0.png.png
imagette46735031740584681/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208132944_0.png.png
imagette46735031740584681/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225492_0.png.png
imagette46735031740584681/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251769_0.png.png
imagette46735031740584681/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133133_0.png.png
imagette46735031740584681/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214689_0.png.png
imagette46735031740584681/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244031_0.png.png
imagette46735031740584681/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225479_0.png.png
imagette46735031740584681/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244040_0.png.png
imagette46735031740584681/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251728_0.png.png
imagette46735031740584681/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244042_0.png.png
imagette46735031740584681/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225462_0.png.png
imagette46735031740584681/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225403_0.png.png
imagette46735031740584681/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133122_0.png.png
imagette46735031740584681/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225483_0.png.png
imagette46735031740584681/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214682_0.png.png
imagette46735031740584681/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225401_0.png.png
imagette46735031740584681/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214696_0.png.png
imagette46735031740584681/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133134_0.png.png
imagette46735041740584683/
imagette46735051740584683/
wget -O 20.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/fce888444ab6590ab8a37cbe3a106c17_45693026.png
imagette46735031740584681
4673504

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673504  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {}
imagette46735041740584683
4673505

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673505  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {}
imagette46735051740584683
4673506

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673506  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057570969: '1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225396_0.png', 1057570994: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214665_0.png', 1057570995: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225449_0.png', 1057574117: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251788_0.png', 1057574131: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251799_0.png', 1057574132: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208244116_0.png', 1057574133: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251778_0.png', 1057574134: '1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208244088_0.png', 1057574155: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251856_0.png', 1057574165: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251841_0.png', 1057574166: '1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208244133_0.png', 1057582181: '1634829704_286060_1057555395_0c18a4546be7d1e86d74113e392ddd2c_rle_crop_2208357131_0.png'}
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.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/3631abe9ec4ecaa83ee17153a66b5d40_40177555.png
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.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ec5622b34f9a4ee1bb672814c568bab5_6735159.png
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.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/51fac4b952b1b87c735b13d74c6ed3d4_61311496.png
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.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c35526cb8791e02fce3d4324c09a542a_81152221.png
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.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/57c3c889f555779955e01d01c999136b_46657843.png
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.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/0abe3d33791a3e241d8c3106f2885283_20579759.png
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.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/1ea3bd61da85bfcd12f577cbd0d916ce_3826840.png
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.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/b9364a9cdb865efaa2bd074722d40f56_49585782.png
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.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ea1ec9471cd6daf73739f0b044450664_9333895.png
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.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/9354afa37afdf8c3ee11e2c0935382b7_28167609.png
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.wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/920a7703891671e14e12980c8d87c813_84100760.png
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imagette46735061740584683
4673507

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673507  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
 map_photo_id_text : {1057457388: '1634762204_45572_1057313055_f53e7d8a8afe308122ceb6b5ec0a1de3_rle_crop_2207764178_0.png', 1057463440: '1634764421_49662_1056707654_ade2052a6e383cf2b4a7ea79094207d1_rle_crop_2207788576_0.png', 1057570268: '1634824063_276557_1057543804_120fc91b5aac6b9e76236a2222f66ec3_rle_crop_2208219390_0.png', 1057570417: '1634824063_276557_1057543793_d871c28f7b64bceb85d0d4bccd88cb77_rle_crop_2208219708_0.png', 1057570431: '1634824063_276557_1057543792_ec15c711dc664131ffdedbf088aff8d6_rle_crop_2208219764_0.png', 1057570432: '1634824063_276557_1057543792_ec15c711dc664131ffdedbf088aff8d6_rle_crop_2208219741_0.png', 1057571011: '1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225484_0.png', 1057573142: '1634825381_278586_1057514246_28ac58a180069805c59b7834e78da25a_rle_crop_2208242236_0.png', 1057573356: '1634825381_278586_1057514168_75e744aa5338b08b6e89864ae77dc0fe_rle_crop_2208242768_0.png', 1057574626: '1634825502_278952_1057536163_0362527670d279898b61ee989afb1348_rle_crop_2208247599_0.png', 1057584527: '1634830181_287550_1057535438_7155eafccbbc44846943c6b2a5ed53c9_rle_crop_2208368590_0.png'}
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.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/9a51b4f18e6f308166a0ce4c447583fa_45829562.png
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.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/5ea9c489414347fb6daf7ee6e2b36361_46913018.png
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.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c81ef57d842bbd056da54c7845944cea_30526420.png
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.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/593bd6d7fe84def81cfc83aa1c5ef1ea_38151693.png
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.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/2dcd47fd7fec53def169b6b9fdce15c7_99116289.png
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.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/0da1e3cded4395987e9b3fe4392a353d_76951827.png
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.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/77d2d9dafdfc5797f4685baf33ff6bae_88934429.png
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.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/87351efc78167408428344abfb822284_19135017.png
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.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/3bd9596ad468aca91fa8a693c53c81ac_59271329.png
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.imagette46735071740584685/
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wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/389954bb38bc27251eece2b33af59521_57972729.png
imagette46735071740584685
4673508

            SELECT ph.photo_id,ph.url,ph.username,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4673508  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 20
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.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/19/a4a07b0b9a727ea4ef64597381eebb3e_90322634.png
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.wget -O 2.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/19/e35a158c36c587e636e37364dd1e5082_53822321.png
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.wget -O 3.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/7693f1465b4e553901d2e4a24014361d_7933217.png
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.wget -O 4.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/10e61026e58f36ba4b47f24d34bf2ea3_77841671.png
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.wget -O 5.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/7dcc6fcaee9bad03f9bb65135d1bf759_39011319.png
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.wget -O 6.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/50d5073ff0eeda46479164ee51af9756_40151641.png
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.wget -O 7.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/03cc114bc6b745dfa98df827b983f421_13403525.png
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.wget -O 8.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/6755719a9cb23e89aa477794bbf78831_98203054.png
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.wget -O 9.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/f2de11f1fd97599a20d6e2cca31bfdff_32274146.png
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.wget -O 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/1e84fefd777da2d8c8f947a2b1364aed_23141215.png
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.wget -O 11.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/d84c22c4274f6cd51a61f0632adafcb7_27678847.png
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.wget -O 12.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/0497efd2f470f11b8f0e3ca18919c662_91528093.png
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.wget -O 13.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/208cf8bb4b4ed4c2d568884739ca0876_58844779.png
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.wget -O 14.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/71e7f673a6bf94e824f9c17afbfa38f2_99308195.png
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.wget -O 15.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/b260cb7f62aa98dff478f02efa362608_4960952.png
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.wget -O 16.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/cce73ea9720f285681de9a25bcb33891_98982975.png
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.wget -O 17.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/b2201a0c4fed112acdf45171e0b2d793_22876674.png
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.wget -O 18.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/e11c3826f59729f548d6fe6f8c9e057a_98598546.png
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.wget -O 19.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/87172e9ffd623a5527bbd10b9305e814_8155331.png
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.imagette46735081740584689/
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wget -O 20.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/4d18b7999afe7e8a0635d85de16673f8_61431692.png
imagette46735081740584689
velour_link :  


ce batch n'est pas dans un dashboard, on n'envoi pas de mail. si vous voulez quand même des mail , veuillez configurer no_mail = 2


args[1057289467] : ((1057289467, -4.424440243329978, 492609224), (1057289467, -0.4062218880770088, 496442774), '0.009511382621534484')
We are sending mail with results at marine@fotonower.com
args[1057289546] : ((1057289546, -4.333383571220791, 492609224), (1057289546, -0.5998675991292823, 501862349), '0.009511382621534484')
We are sending mail with results at marine@fotonower.com
refus_total : 0.009511382621534484

            SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4709558  AND mpp.hide_status=0  ORDER BY mpp.order  LIMIT 0, 1000
current_id not found list index out of range
start upload file to ovh
https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4709558_26-02-2025_16_44_34.pdf
results_COD_P4709558_26-02-2025_16_44_34.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4709558_26-02-2025_16_44_34.pdf
start insert file to database

                insert into MTRUser.mtr_files (mtd_id,mtr_portfolio_id,text,url,format,tags,file_size,value)
                values ('3818','4709558','results_COD_P4709558_26-02-2025_16_44_34.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4709558_26-02-2025_16_44_34.pdf','pdf','','0.48','0.009511382621534484') 
                

After datou_step_exec type output : <class 'str'>

time spend for datou_step_exec : 19.06234622001648
time spend to save output : 6.556510925292969e-05
total time spend for step 8 : 19.062411785125732

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 8
 output : 

    SELECT value FROM MTRUser.portfolio_carac_ratio WHERE portfolio_id = 4709558 AND hashtag_type = 4016 ORDER BY hashtag_id;
    
fin du test de rym_consolidate

############################### TEST generate_new_image_add_crop  ################################
test_generate_new_image_add_crop

    DELETE FROM MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id = 4789106
    

    DELETE FROM MTRPhoto.crop_hashtag_ids WHERE type = 4086
    
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3870

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3870
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3870
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3870
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : generate_new_image
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4789595) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4789595)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1057314774, 'portfolio_id': 4789595}, {'photo_id': 1057314768, 'portfolio_id': 4789595}, {'photo_id': 1057314766, 'portfolio_id': 4789595}]
 map_portfolio_id_photo_id: {4789595: [1057314774, 1057314768, 1057314766]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1057314774
begin to download photo : 1057314768
begin to download photo : 1057314766
download finish for photo 1057314766
download finish for photo 1057314774
download finish for photo 1057314768
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 3 ; length of list_pids : 3 ; length of list_args : 3
##### After load_data_input 
time to download the photos : 0.30976438522338867
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:generate_new_image
Wed Feb 26 16:44:53 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584693_3116993_1057314766_850e771a4800ad0a89e4fec977bcfedd_29707587.jpg': 1057314766, 'temp/1740584693_3116993_1057314774_6bab7ce0e063fda7d35a74c0adf7f25b_17612544.jpg': 1057314774, 'temp/1740584693_3116993_1057314768_3b6c8b2738f519f078355064487ef55f_72134828.jpg': 1057314768}
map_photo_id_path_extension : {1057314766: {'path': 'temp/1740584693_3116993_1057314766_850e771a4800ad0a89e4fec977bcfedd_29707587.jpg', 'extension': 'jpg'}, 1057314774: {'path': 'temp/1740584693_3116993_1057314774_6bab7ce0e063fda7d35a74c0adf7f25b_17612544.jpg', 'extension': 'jpg'}, 1057314768: {'path': 'temp/1740584693_3116993_1057314768_3b6c8b2738f519f078355064487ef55f_72134828.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4789595 ORDER BY ph.size desc
select id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1057314766,1057314768,1057314774) and `type` in (4021) 

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4789595) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 1000000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (4789595)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 1000000
 list_result: [{'photo_id': 1057314774, 'portfolio_id': 4789595}, {'photo_id': 1057314768, 'portfolio_id': 4789595}, {'photo_id': 1057314766, 'portfolio_id': 4789595}]
 map_portfolio_id_photo_id: {4789595: [1057314774, 1057314768, 1057314766]}
we need 3 photos
there is already 3 photos exist in our local_cache
we have to download 0 photos
we have successful downloaded 0 photos
there are 0 photos missing
finally, we can get 3 photo needed from our local_cache
list of photo_id_missing : 
[]
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where id in (2208326712,2208326711,2208326718)
Loaded 3 chid ids of type : 4021
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2208326711,2208326712,2208326718)
+++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2208326711,2208326712,2208326718)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2208326711,2208326712,2208326718)

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (1057314766,1057314768) 
 Found this number of photos: 2
we need 2 photos
there is already 2 photos exist in our local_cache
we have to download 0 photos
we have successful downloaded 0 photos
there are 0 photos missing
finally, we can get 2 photo needed from our local_cache
list of photo_id_missing : 
[]
begin to treate photo :1057314774
add chi : 2208326712 , rotate : 135
(905, 905)
(243, 688, 135, 640)
(505, 445, 3)
(505, 445)
(905, 905, 3)

time for calcul the mask position with numpy : 0.0017781257629394531
nb_pixel_total : 98258
time to create 1 rle with old method : 0.11963820457458496
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1057314774) and `type` in (4021) 
Loaded 0 chid ids of type : 0
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in ()
time for calcul the mask position with numpy : 0.0019001960754394531
nb_pixel_total : 98258
time to create 1 rle with old method : 0.11047625541687012
begin to treate photo :1057314768
add chi : 2208326711 , rotate : 90
(640, 640)
(168, 636, 0, 205)
(205, 468, 3)
(205, 468)
(640, 640, 3)

time for calcul the mask position with numpy : 0.0015566349029541016
nb_pixel_total : 65371
time to create 1 rle with old method : 0.0731508731842041
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1057314768) and `type` in (4021) 
Loaded 2 chid ids of type : 4021
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2208326718,2208326717)
++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2208326718,2208326717)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2208326718,2208326717)
time for calcul the mask position with numpy : 0.002584695816040039
nb_pixel_total : 80840
time to create 1 rle with old method : 0.1068263053894043
time for calcul the mask position with numpy : 0.0018727779388427734
nb_pixel_total : 65371
time to create 1 rle with old method : 0.07370567321777344
time for calcul the mask position with numpy : 0.0014789104461669922
nb_pixel_total : 8755
time to create 1 rle with old method : 0.01404714584350586
begin to treate photo :1057314766
add chi : 2208326718 , rotate : 47
(904, 904)
(9, 254, 445, 702)
(257, 245, 3)
(257, 245)
(904, 904, 3)

time for calcul the mask position with numpy : 0.0013794898986816406
nb_pixel_total : 8872
time to create 1 rle with old method : 0.020582199096679688
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1057314766) and `type` in (4021) 
Loaded 3 chid ids of type : 4021
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2208326711,2208326712,2208326713)
+++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2208326711,2208326712,2208326713)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2208326711,2208326712,2208326713)
time for calcul the mask position with numpy : 0.0020008087158203125
nb_pixel_total : 65325
time to create 1 rle with old method : 0.09075760841369629
time for calcul the mask position with numpy : 0.0025348663330078125
nb_pixel_total : 96410
time to create 1 rle with old method : 0.11826539039611816
time for calcul the mask position with numpy : 0.001789093017578125
nb_pixel_total : 6807
time to create 1 rle with old method : 0.010390043258666992
time for calcul the mask position with numpy : 0.001478433609008789
nb_pixel_total : 8872
time to create 1 rle with old method : 0.010117769241333008
init cache_photo without model_param  
we have 1 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1740584695_3116993
we have uploaded 1 photos in the portfolio 4789106
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 1 chid ids of type : 4086
Number RLEs to save : 545
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3687657212', '124', '114', '2')
...
 last line : ('3687657212', '389', '618', '6')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 
we have 1 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1740584696_3116993
we have uploaded 1 photos in the portfolio 4789106
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 3 chid ids of type : 4086
Number RLEs to save : 640
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3687657213', '380', '0', '156')
...
 last line : ('3687657215', '13', '639', '352')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 
we have 1 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1740584696_3116993
we have uploaded 1 photos in the portfolio 4789106
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 4 chid ids of type : 4086
Number RLEs to save : 1551
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3687657216', '0', '4', '1')
...
 last line : ('3687657219', '418', '585', '3')
INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) 
 TO DO : save crop sub photo not yet done ! 

After datou_step_exec type output : <class 'NoneType'>

time spend for datou_step_exec : 3.374425172805786
time spend to save output : 9.775161743164062e-05
total time spend for step 1 : 3.3745229244232178

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 0
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : None

    SELECT * FROM MTRPhoto.crop_hashtag_ids where photo_id in (SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id = 4789106) and type = 4086
    
fin du test de generate_new_image

############################### TEST velours_tree  ################################
test velours_tree
- Retrieving photos to tag...
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=4837217 ORDER BY ph.size desc
- Loading descriptors...
Size : 512
 len(descriptors) : 5
Compute structured hierarchical clustering...
 ward : AgglomerativeClustering(n_clusters=5)
 ward.labels_ : [4 3 2 1 0]
Elapsed time:  0.007074594497680664
 graph_id used : 1145
- Beta version, working pretty good on 11-5-16 !
fin du test de velours_tree

############################### TEST step ACP  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4208

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4208
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4208
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4208
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : acp
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (5709050) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (5709050)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1069306967, 'portfolio_id': 5709050}, {'photo_id': 1069306964, 'portfolio_id': 5709050}, {'photo_id': 1069306954, 'portfolio_id': 5709050}, {'photo_id': 1069306844, 'portfolio_id': 5709050}, {'photo_id': 1069306843, 'portfolio_id': 5709050}, {'photo_id': 1069306841, 'portfolio_id': 5709050}, {'photo_id': 1069306815, 'portfolio_id': 5709050}, {'photo_id': 1069306805, 'portfolio_id': 5709050}, {'photo_id': 1069306710, 'portfolio_id': 5709050}, {'photo_id': 1069306708, 'portfolio_id': 5709050}]
 map_portfolio_id_photo_id: {5709050: [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.015503883361816406
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:acp
Wed Feb 26 16:44:59 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
Cette step permet de calculer une ACP.
ATTENTION : le size etait trop grand : 20, on a changé sa valeur à : 9
SELECT id FROM MTRPhoto.photo_desc_type_params where name = 'ACP_from_type_5619_size_9';
find save_photo_desc_type : 5705
On sauvegarde les nouveaux descripteurs dans le photo desc type : 5705
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (5705)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5705, 'ACP_from_type_5619_size_9', 9, 9, 'ACP_from_type_5619_size_9', None, 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2022, 6, 16, 11, 6, 15), None)
(10, 9)
Got the blobs of the net
 to insert :  
[255, 0, 0, 0, 0, 8, 20, 3, 5]
code_as_byte_string:b'c3bf000000'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 0, 34, 179]
code_as_byte_string:b'0000000000'|
Got the blobs of the net
 to insert :  
[0, 6, 0, 0, 0, 0, 0, 138, 0]
code_as_byte_string:b'0006000000'|
Got the blobs of the net
 to insert :  
[0, 108, 0, 0, 0, 196, 62, 0, 0]
code_as_byte_string:b'006c000000'|
Got the blobs of the net
 to insert :  
[0, 52, 0, 237, 64, 61, 115, 122, 0]
code_as_byte_string:b'003400c3ad'|
Got the blobs of the net
 to insert :  
[0, 0, 45, 0, 249, 0, 0, 0, 0]
code_as_byte_string:b'00002d00c3'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 134, 0, 84, 0, 0, 0]
code_as_byte_string:b'000000c286'|
Got the blobs of the net
 to insert :  
[20, 131, 255, 31, 0, 0, 0, 0, 0]
code_as_byte_string:b'14c283c3bf'|
Got the blobs of the net
 to insert :  
[6, 255, 0, 88, 26, 0, 0, 0, 31]
code_as_byte_string:b'06c3bf0058'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 171, 0, 0]
code_as_byte_string:b'0000000000'|
time to traite the descriptors :  0.00035834312438964844
Testing : ['1069306708', '1069306710', '1069306805', '1069306815', '1069306841', '1069306843', '1069306844', '1069306954', '1069306964', '1069306967']
 In select_photos_meta_from_ids: 
        SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text
        FROM MTRBack.photos
        WHERE photo_id IN (1069306708,1069306710,1069306805,1069306815,1069306841,1069306843,1069306844,1069306954,1069306964,1069306967) 
result : {1069306708: {'photo_id': 1069306708, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/7eba568f0aa961284ede154354a8b509.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_46_33_10134.jpg'}, 1069306710: {'photo_id': 1069306710, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/fe3d201fbfd00dfcd98aa3625d2cfe6a.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_46_43_10066.jpg'}, 1069306805: {'photo_id': 1069306805, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/42a49f97933b37a87ca53e38379f29b0.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_46_53_9809.jpg'}, 1069306815: {'photo_id': 1069306815, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/2f5091223d1b3946ee6eb8576faac354.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_03_10054.jpg'}, 1069306841: {'photo_id': 1069306841, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/547760f05364a61b63ad9db90d0b0dec.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_13_10036.jpg'}, 1069306843: {'photo_id': 1069306843, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/5d2b7a6367578e8ac1382d2a1a0bba36.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_23_10032.jpg'}, 1069306844: {'photo_id': 1069306844, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/5b215fd7500b354740ce88c56edeaf99.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_33_10008.jpg'}, 1069306954: {'photo_id': 1069306954, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/2019d5d809e04d2e01c269b108974cd3.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_48_03_9803.jpg'}, 1069306964: {'photo_id': 1069306964, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/d58c1cb31781763bc3bb045dfac967c3.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_48_13_10051.jpg'}, 1069306967: {'photo_id': 1069306967, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/642d8a900dd65f94ea75eb2a9d95b7dd.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_48_23_10019.jpg'}}
list_photo_exists : [1069306708, 1069306710, 1069306805, 1069306815, 1069306841, 1069306843, 1069306844, 1069306954, 1069306964, 1069306967]
storage_type for insertDescriptorsMulti : 3
Missing photo l117 : 1069306708
Missing photo l117 : 1069306710
Missing photo l117 : 1069306805
Missing photo l117 : 1069306815
Missing photo l117 : 1069306841
Missing photo l117 : 1069306843
Missing photo l117 : 1069306844
Missing photo l117 : 1069306954
Missing photo l117 : 1069306964
Missing photo l117 : 1069306967
To insert : 1069306708
To insert : 1069306710
To insert : 1069306805
To insert : 1069306815
To insert : 1069306841
To insert : 1069306843
To insert : 1069306844
To insert : 1069306954
To insert : 1069306964
To insert : 1069306967
time to insert the descriptors : 3.4264259338378906
res : {'1069306708': b'\xc3\xbf\x00\x00\x00\x00\x08\x14\x03\x05', '1069306710': b'\x00\x00\x00\x00\x00\x00\x00"\xc2\xb3', '1069306805': b'\x00\x06\x00\x00\x00\x00\x00\xc2\x8a\x00', '1069306815': b'\x00l\x00\x00\x00\xc3\x84>\x00\x00', '1069306841': b'\x004\x00\xc3\xad@=sz\x00', '1069306843': b'\x00\x00-\x00\xc3\xb9\x00\x00\x00\x00', '1069306844': b'\x00\x00\x00\xc2\x86\x00T\x00\x00\x00', '1069306954': b'\x14\xc2\x83\xc3\xbf\x1f\x00\x00\x00\x00\x00', '1069306964': b'\x06\xc3\xbf\x00X\x1a\x00\x00\x00\x1f', '1069306967': b'\x00\x00\x00\x00\x00\x00\xc2\xab\x00\x00'}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 4.495352029800415
time spend to save output : 0.0002052783966064453
total time spend for step 1 : 4.4955573081970215

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : acp we use saveGeneral 
[1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]
 map_info['map_portfolio_photo'] : {5709050: [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]}
 final :  True mtd_id 4208 list_pids : [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]
Looping around the photos to save general results
len do output : 10
/1069306708Didn't retrieve data
.
/1069306710Didn't retrieve data
.
/1069306805Didn't retrieve data
.
/1069306815Didn't retrieve data
.
/1069306841Didn't retrieve data
.
/1069306843Didn't retrieve data
.
/1069306844Didn't retrieve data
.
/1069306954Didn't retrieve data
.
/1069306964Didn't retrieve data
.
/1069306967Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2f6f371970>
Managing all output in save final without adding information in the mtr_datou_result 
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306967', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306964', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306954', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306844', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306843', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306841', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306815', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306805', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306710', None, None, None, None, None, None)
('4208', None, None, None, None, None, None, None, None)
('4208', '5709050', '1069306708', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 20
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4208', '5709050', '1069306708', 'None', None, None, None, None, None), ('4208', '5709050', '1069306710', 'None', None, None, None, None, None), ('4208', '5709050', '1069306805', 'None', None, None, None, None, None), ('4208', '5709050', '1069306815', 'None', None, None, None, None, None), ('4208', '5709050', '1069306841', 'None', None, None, None, None, None), ('4208', '5709050', '1069306843', 'None', None, None, None, None, None), ('4208', '5709050', '1069306844', 'None', None, None, None, None, None), ('4208', '5709050', '1069306954', 'None', None, None, None, None, None), ('4208', '5709050', '1069306964', 'None', None, None, None, None, None), ('4208', '5709050', '1069306967', 'None', None, None, None, None, None)]
time used for this insertion : 0.0140380859375
 save_final 

save missing photos in datou_result :
After save, about to update current !
ret : {'1069306708': b'\xc3\xbf\x00\x00\x00\x00\x08\x14\x03\x05', '1069306710': b'\x00\x00\x00\x00\x00\x00\x00"\xc2\xb3', '1069306805': b'\x00\x06\x00\x00\x00\x00\x00\xc2\x8a\x00', '1069306815': b'\x00l\x00\x00\x00\xc3\x84>\x00\x00', '1069306841': b'\x004\x00\xc3\xad@=sz\x00', '1069306843': b'\x00\x00-\x00\xc3\xb9\x00\x00\x00\x00', '1069306844': b'\x00\x00\x00\xc2\x86\x00T\x00\x00\x00', '1069306954': b'\x14\xc2\x83\xc3\xbf\x1f\x00\x00\x00\x00\x00', '1069306964': b'\x06\xc3\xbf\x00X\x1a\x00\x00\x00\x1f', '1069306967': b'\x00\x00\x00\x00\x00\x00\xc2\xab\x00\x00'}
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4209

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4209
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4209
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4209
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : acp
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (5709050) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (5709050)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1069306967, 'portfolio_id': 5709050}, {'photo_id': 1069306964, 'portfolio_id': 5709050}, {'photo_id': 1069306954, 'portfolio_id': 5709050}, {'photo_id': 1069306844, 'portfolio_id': 5709050}, {'photo_id': 1069306843, 'portfolio_id': 5709050}, {'photo_id': 1069306841, 'portfolio_id': 5709050}, {'photo_id': 1069306815, 'portfolio_id': 5709050}, {'photo_id': 1069306805, 'portfolio_id': 5709050}, {'photo_id': 1069306710, 'portfolio_id': 5709050}, {'photo_id': 1069306708, 'portfolio_id': 5709050}]
 map_portfolio_id_photo_id: {5709050: [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.01496577262878418
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:acp
Wed Feb 26 16:45:03 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
Cette step permet de calculer une ACP.
ATTENTION : le size etait trop grand : 20, on a changé sa valeur à : 9
Sauvegarde du modèle et envoi sur OVH
Attention : /data/models_weight/ACP_from_port_5709050_type_5619_size_9 existe, son contenu risque d'être écrasé
model_param file didn't exist 
model didn't exist , save the new model in s3
local folder to save in s3 :  /data/models_weight/ACP_from_port_5709050_type_5619_size_9
update :  1740584706.271046
done !  1740584706.4260187
{'files': [{'name': 'pca_model.pkl', 'size': 103314, 'last_modified': '2025-02-26T15:45:06.284650', 'hash': 'd7e2c6aa9a1ef592ffdfc4abe9c66263'}], 'directories': []}
Création d'un nouveau thème de classification
Le thème de classification 'ACP_from_port_5709050_type_5619_size_9' existe déjà, merci de relancer avec un nouveau nom dans les params-json.

After datou_step_exec type output : <class 'int'>

time spend for datou_step_exec : 2.7115466594696045
time spend to save output : 3.518733263015747
total time spend for step 1 : 6.230279922485352

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : acp we use saveGeneral 
[1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]
 map_info['map_portfolio_photo'] : {5709050: [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]}
 final :  True mtd_id 4209 list_pids : [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]
Looping around the photos to save general results
object of type 'int' has no len()


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 10
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4209', '5709050', '1069306967', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306964', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306954', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306844', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306843', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306841', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306815', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306805', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306710', '0', '0', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306708', '0', '0', '-1.0', '501120777', '1.0', None)]
time used for this insertion : 0.017333984375
 save_final 

save missing photos in datou_result :
After save, about to update current !
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4212

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4212
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4212
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4212
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : acp
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (5709050) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (5709050)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1069306967, 'portfolio_id': 5709050}, {'photo_id': 1069306964, 'portfolio_id': 5709050}, {'photo_id': 1069306954, 'portfolio_id': 5709050}, {'photo_id': 1069306844, 'portfolio_id': 5709050}, {'photo_id': 1069306843, 'portfolio_id': 5709050}, {'photo_id': 1069306841, 'portfolio_id': 5709050}, {'photo_id': 1069306815, 'portfolio_id': 5709050}, {'photo_id': 1069306805, 'portfolio_id': 5709050}, {'photo_id': 1069306710, 'portfolio_id': 5709050}, {'photo_id': 1069306708, 'portfolio_id': 5709050}]
 map_portfolio_id_photo_id: {5709050: [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]}
##### Call download_photos : nb_thread : 5
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
##### After load_data_input 
time to download the photos : 0.014424324035644531
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:acp
Wed Feb 26 16:45:10 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {}
map_photo_id_path_extension : {}
map_subphoto_mainphoto : {}
Cette step permet de calculer une ACP.
To do loadFromThcl(), then load ParamDescType : thcl3412
 get_desc_type_from_thcl : type of cat <class 'mtr.database_queries.classification_admin_tools.ClassificationMetaTools'>

            SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists,
            photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at,
            type_classification
            FROM MTRDatou.classification_theme  WHERE  `id` IN (3412) 
 thcls : [{'id': 3412, 'mtr_user_id': 31, 'name': 'ACP_from_port_5709050_type_5619_size_9', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '', 'svm_portfolios_learning': '0', 'photo_hashtag_type': 4398, 'photo_desc_type': 5706, 'type_classification': 'ACP', 'hashtag_id_list': '0'}]
 thcl {'id': 3412, 'mtr_user_id': 31, 'name': 'ACP_from_port_5709050_type_5619_size_9', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '', 'svm_portfolios_learning': '0', 'photo_hashtag_type': 4398, 'photo_desc_type': 5706, 'type_classification': 'ACP', 'hashtag_id_list': '0'}
 Update svm_hashtag_type_desc : 5706
 SELECT * FROM MTRDatou.photo_desc_type_params  WHERE id in (5706)
FOUND : 1
 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5706, 'ACP_from_port_5709050_type_5619_size_9', 9, 9, 'ACP_from_port_5709050_type_5619_size_9', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2022, 6, 16, 11, 8, 14), datetime.datetime(2022, 6, 16, 11, 8, 14))
model_param file didn't exist 
model_name : ACP_from_port_5709050_type_5619_size_9
model_type : acp
list file need :
['pca_model.pkl']
file exist in s3 :
['pca_model.pkl']
file manque in s3 : 
[]
local folder  : /data/models_weight/ACP_from_port_5709050_type_5619_size_9


/data/models_weight/ACP_from_port_5709050_type_5619_size_9/pca_model.pkl
size_local : 103314 size in s3 : 103314
create time local : 2025-02-26 16:45:05 create time in s3 : 2025-02-26 15:45:06
pca_model.pkl already exist and didn't need to update
model_name : ACP_from_port_5709050_type_5619_size_9
On sauvegarde les nouveaux descripteurs dans le photo desc type : 5706
(10, 9)
Got the blobs of the net
 to insert :  
[255, 0, 0, 0, 0, 8, 20, 3, 5]
code_as_byte_string:b'c3bf000000'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 0, 34, 179]
code_as_byte_string:b'0000000000'|
Got the blobs of the net
 to insert :  
[0, 6, 0, 0, 0, 0, 0, 138, 0]
code_as_byte_string:b'0006000000'|
Got the blobs of the net
 to insert :  
[0, 108, 0, 0, 0, 196, 62, 0, 0]
code_as_byte_string:b'006c000000'|
Got the blobs of the net
 to insert :  
[0, 52, 0, 237, 64, 61, 115, 122, 0]
code_as_byte_string:b'003400c3ad'|
Got the blobs of the net
 to insert :  
[0, 0, 45, 0, 249, 0, 0, 0, 0]
code_as_byte_string:b'00002d00c3'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 134, 0, 84, 0, 0, 0]
code_as_byte_string:b'000000c286'|
Got the blobs of the net
 to insert :  
[20, 131, 255, 31, 0, 0, 0, 0, 0]
code_as_byte_string:b'14c283c3bf'|
Got the blobs of the net
 to insert :  
[6, 255, 0, 88, 26, 0, 0, 0, 31]
code_as_byte_string:b'06c3bf0058'|
Got the blobs of the net
 to insert :  
[0, 0, 0, 0, 0, 0, 171, 0, 0]
code_as_byte_string:b'0000000000'|
time to traite the descriptors :  0.00035190582275390625
Testing : ['1069306708', '1069306710', '1069306805', '1069306815', '1069306841', '1069306843', '1069306844', '1069306954', '1069306964', '1069306967']
 In select_photos_meta_from_ids: 
        SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text
        FROM MTRBack.photos
        WHERE photo_id IN (1069306708,1069306710,1069306805,1069306815,1069306841,1069306843,1069306844,1069306954,1069306964,1069306967) 
result : {1069306708: {'photo_id': 1069306708, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/7eba568f0aa961284ede154354a8b509.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_46_33_10134.jpg'}, 1069306710: {'photo_id': 1069306710, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/fe3d201fbfd00dfcd98aa3625d2cfe6a.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_46_43_10066.jpg'}, 1069306805: {'photo_id': 1069306805, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/42a49f97933b37a87ca53e38379f29b0.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_46_53_9809.jpg'}, 1069306815: {'photo_id': 1069306815, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/2f5091223d1b3946ee6eb8576faac354.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_03_10054.jpg'}, 1069306841: {'photo_id': 1069306841, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/547760f05364a61b63ad9db90d0b0dec.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_13_10036.jpg'}, 1069306843: {'photo_id': 1069306843, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/5d2b7a6367578e8ac1382d2a1a0bba36.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_23_10032.jpg'}, 1069306844: {'photo_id': 1069306844, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/5b215fd7500b354740ce88c56edeaf99.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_47_33_10008.jpg'}, 1069306954: {'photo_id': 1069306954, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/2019d5d809e04d2e01c269b108974cd3.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_48_03_9803.jpg'}, 1069306964: {'photo_id': 1069306964, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/d58c1cb31781763bc3bb045dfac967c3.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_48_13_10051.jpg'}, 1069306967: {'photo_id': 1069306967, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/1/4/642d8a900dd65f94ea75eb2a9d95b7dd.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_04012022_05_48_23_10019.jpg'}}
list_photo_exists : [1069306708, 1069306710, 1069306805, 1069306815, 1069306841, 1069306843, 1069306844, 1069306954, 1069306964, 1069306967]
storage_type for insertDescriptorsMulti : 3
Missing photo l117 : 1069306708
Missing photo l117 : 1069306710
Missing photo l117 : 1069306805
Missing photo l117 : 1069306815
Missing photo l117 : 1069306841
Missing photo l117 : 1069306843
Missing photo l117 : 1069306844
Missing photo l117 : 1069306954
Missing photo l117 : 1069306964
Missing photo l117 : 1069306967
To insert : 1069306708
To insert : 1069306710
To insert : 1069306805
To insert : 1069306815
To insert : 1069306841
To insert : 1069306843
To insert : 1069306844
To insert : 1069306954
To insert : 1069306964
To insert : 1069306967
time to insert the descriptors : 2.56659197807312
res : {'1069306708': b'\xc3\xbf\x00\x00\x00\x00\x08\x14\x03\x05', '1069306710': b'\x00\x00\x00\x00\x00\x00\x00"\xc2\xb3', '1069306805': b'\x00\x06\x00\x00\x00\x00\x00\xc2\x8a\x00', '1069306815': b'\x00l\x00\x00\x00\xc3\x84>\x00\x00', '1069306841': b'\x004\x00\xc3\xad@=sz\x00', '1069306843': b'\x00\x00-\x00\xc3\xb9\x00\x00\x00\x00', '1069306844': b'\x00\x00\x00\xc2\x86\x00T\x00\x00\x00', '1069306954': b'\x14\xc2\x83\xc3\xbf\x1f\x00\x00\x00\x00\x00', '1069306964': b'\x06\xc3\xbf\x00X\x1a\x00\x00\x00\x1f', '1069306967': b'\x00\x00\x00\x00\x00\x00\xc2\xab\x00\x00'}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 4.9652769565582275
time spend to save output : 7.581710815429688e-05
total time spend for step 1 : 4.965352773666382

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : acp we use saveGeneral 
[1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]
 map_info['map_portfolio_photo'] : {5709050: [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]}
 final :  True mtd_id 4212 list_pids : [1069306967, 1069306964, 1069306954, 1069306844, 1069306843, 1069306841, 1069306815, 1069306805, 1069306710, 1069306708]
Looping around the photos to save general results
len do output : 10
/1069306708Didn't retrieve data
.
/1069306710Didn't retrieve data
.
/1069306805Didn't retrieve data
.
/1069306815Didn't retrieve data
.
/1069306841Didn't retrieve data
.
/1069306843Didn't retrieve data
.
/1069306844Didn't retrieve data
.
/1069306954Didn't retrieve data
.
/1069306964Didn't retrieve data
.
/1069306967Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bec0b0fa0>
Managing all output in save final without adding information in the mtr_datou_result 
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306967', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306964', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306954', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306844', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306843', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306841', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306815', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306805', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306710', None, None, None, None, None, None)
('4212', None, None, None, None, None, None, None, None)
('4212', '5709050', '1069306708', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 20
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4212', '5709050', '1069306708', 'None', None, None, None, None, None), ('4212', '5709050', '1069306710', 'None', None, None, None, None, None), ('4212', '5709050', '1069306805', 'None', None, None, None, None, None), ('4212', '5709050', '1069306815', 'None', None, None, None, None, None), ('4212', '5709050', '1069306841', 'None', None, None, None, None, None), ('4212', '5709050', '1069306843', 'None', None, None, None, None, None), ('4212', '5709050', '1069306844', 'None', None, None, None, None, None), ('4212', '5709050', '1069306954', 'None', None, None, None, None, None), ('4212', '5709050', '1069306964', 'None', None, None, None, None, None), ('4212', '5709050', '1069306967', 'None', None, None, None, None, None)]
time used for this insertion : 0.018811941146850586
 save_final 

save missing photos in datou_result :
After save, about to update current !
ret : {'1069306708': b'\xc3\xbf\x00\x00\x00\x00\x08\x14\x03\x05', '1069306710': b'\x00\x00\x00\x00\x00\x00\x00"\xc2\xb3', '1069306805': b'\x00\x06\x00\x00\x00\x00\x00\xc2\x8a\x00', '1069306815': b'\x00l\x00\x00\x00\xc3\x84>\x00\x00', '1069306841': b'\x004\x00\xc3\xad@=sz\x00', '1069306843': b'\x00\x00-\x00\xc3\xb9\x00\x00\x00\x00', '1069306844': b'\x00\x00\x00\xc2\x86\x00T\x00\x00\x00', '1069306954': b'\x14\xc2\x83\xc3\xbf\x1f\x00\x00\x00\x00\x00', '1069306964': b'\x06\xc3\xbf\x00X\x1a\x00\x00\x00\x1f', '1069306967': b'\x00\x00\x00\x00\x00\x00\xc2\xab\x00\x00'}
fin du test de la step acp

############################### TEST blur_crop  ################################
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3990

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3990
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3990
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3990
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
no param json to modify
List Step Type Loaded in datou : crop_condition
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (6135916) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (6135916)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1105701516, 'portfolio_id': 6135916}, {'photo_id': 1105701500, 'portfolio_id': 6135916}]
 map_portfolio_id_photo_id: {6135916: [1105701516, 1105701500]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1105701516
begin to download photo : 1105701500
download finish for photo 1105701500
download finish for photo 1105701516
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 2 ; length of list_pids : 2 ; length of list_args : 2
##### After load_data_input 
time to download the photos : 0.17182564735412598
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  1
step1:crop_condition
Wed Feb 26 16:45:15 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27.jpg': 1105701500, 'temp/1740584715_3116993_1105701516_047b0ce16fe5e308d8512c83125c4058.jpg': 1105701516}
map_photo_id_path_extension : {1105701500: {'path': 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27.jpg', 'extension': 'jpg'}, 1105701516: {'path': 'temp/1740584715_3116993_1105701516_047b0ce16fe5e308d8512c83125c4058.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
param_json : {'filter': {'Papier_Magazine': {}, 'carton_brun': {}, 'carton_gris': {}, 'cartonnette': {}, 'kraft': {}, 'autre_refus': {}, 'metal': {}, 'plastique': {}, 'teint_dans_la_masse': {}, 'environnement': {}, 'contaminant': {}}, 'upload_type': 'python', 'photo_hashtag_type': 4356, 'token': 'bdba771f7b99dd431d09e7a0ad6ec08f', 'portfolio_name': 'crop_qualipapia_rle', 'crop_type': 'blur', 'min_score': 0.5, 'feed_id_new_photos': 6163545}
Loading chi in step crop with photo_hashtag_type : 4356
Loading chi in step crop for list_pids : 2 !
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1105701500,1105701516) and `type` in (4356) 
Loaded 3 chid ids of type : 4356
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2436373819,2436374092,2436374262)
++WARNING : duplicated polygon, we should remove this data for chi_id : 2436373819. Ignored now
+++WARNING : duplicated polygon, we should remove this data for chi_id : 2436374262. Ignored now
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2436373819,2436374092,2436374262)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2436373819,2436374092,2436374262)
select photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type, id from MTRPhoto.photo_sub_photos  where photo_id in ( 1105701500,1105701516) 
select sub_photo_id, crop_hashtag_id from MTRPhoto.crop_sub_photo_ids where sub_photo_id in (1105703688,1105703689,1105703686) 

begin to crop the class : Papier_Magazine
param for this class : {}
filtre for class : Papier_Magazine 
hashtag_id of this class : 2107752386
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 2107752386) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : carton_brun
param for this class : {}
filtre for class : carton_brun 
hashtag_id of this class : 2107753024
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 2107753024) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : carton_gris
param for this class : {}
filtre for class : carton_gris 
hashtag_id of this class : 2107753020
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 2107753020) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : cartonnette
param for this class : {}
filtre for class : cartonnette 
hashtag_id of this class : 702398920
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 702398920) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : kraft
param for this class : {}
filtre for class : kraft 
hashtag_id of this class : 493202403
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 493202403) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : autre_refus
param for this class : {}
filtre for class : autre_refus 
hashtag_id of this class : 2107752406
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 2107752406) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : metal
param for this class : {}
filtre for class : metal 
hashtag_id of this class : 492628673
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 492628673) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : plastique
param for this class : {}
filtre for class : plastique 
hashtag_id of this class : 492725882
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 492725882) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : teint_dans_la_masse
param for this class : {}
filtre for class : teint_dans_la_masse 
hashtag_id of this class : 2107752385
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 2107752385) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : environnement
param for this class : {}
filtre for class : environnement 
hashtag_id of this class : 493012381
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 493012381) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        

begin to crop the class : contaminant
param for this class : {}
filtre for class : contaminant 
hashtag_id of this class : 681467679
select * from
(select chi.id, chi.score,(chi.x1-chi.x0)*(chi.y1-chi.y0) as surface_rectangle, (chi.x1-chi.x0)/(chi.y1-chi.y0) as proportion_allonge,
IFNULL(css.sum_segments, 0) as surface_crop, IFNULL(css.sum_segments, 0) / ((chi.x1-chi.x0)*(chi.y1-chi.y0)) as coverage
from MTRPhoto.crop_hashtag_ids chi left join MTRPhoto.crop_sum_segments css on
chi.id =css.crop_hashtag_id
where type = 4356 and photo_id in (1105701500,1105701516) and hashtag_id = 681467679) as a 
where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 
and coverage >= 0 and surface_rectangle >= 0;
        
chi_id interessant : [2436373819]
chi_id interessant : [2436373819, 2436374092]
chi_id interessant : [2436373819, 2436374092, 2436374262]

type of cropped photo chosen : blur
we resize croppped photo by 1 on x axis and by 1 on y axis
 new_file_path_bib_crop : temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_bib_crop_2436373819_0.jpg
Here we manage polygons !
 new_file_path_bib_crop : temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_bib_crop_2436374262_0.jpg
Here we manage polygons !
 new_file_path_bib_crop : temp/1740584715_3116993_1105701516_047b0ce16fe5e308d8512c83125c4058_bib_crop_2436374092_0.jpg
Here we manage polygons !
 map_result returned by crop_photo_return_map_crop : length : 3
map_result after crop : {2436373819: {'crop': 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_bib_crop_2436373819_0.jpg', 'photo_id': 1105701500, 'sub_photo_id': 1105703688, 'coordonates': (108, 300, 16, 138), 'sub_photo_infos': (108, 300, 16, 138, 1, 1), 'same_chi': True, 'black': 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_black_2436373819_0.jpg', 'polygon': 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_2436373819_0.jpg', 'polygon_crop': 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_crop_2436373819_0.jpg', 'blur': 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg'}, 2436374262: {'crop': 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_bib_crop_2436374262_0.jpg', 'photo_id': 1105701500, 'sub_photo_id': 1105703689, 'coordonates': (47, 300, 91, 247), 'sub_photo_infos': (47, 300, 91, 247, 1, 1), 'same_chi': True, 'black': 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_black_2436374262_0.jpg', 'polygon': 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_2436374262_0.jpg', 'polygon_crop': 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_crop_2436374262_0.jpg', 'blur': 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg'}, 2436374092: {'crop': 'temp/1740584715_3116993_1105701516_047b0ce16fe5e308d8512c83125c4058_bib_crop_2436374092_0.jpg', 'photo_id': 1105701516, 'sub_photo_id': 1105703686, 'coordonates': (25, 175, 137, 235), 'sub_photo_infos': (25, 175, 137, 235, 1, 1), 'same_chi': True, 'black': 'temp/1740584715_3116993_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_black_2436374092_0.jpg', 'polygon': 'temp/1740584715_3116993_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_2436374092_0.jpg', 'polygon_crop': 'temp/1740584715_3116993_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_crop_2436374092_0.jpg', 'blur': 'temp/1740584715_3116993_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg'}}
 About to insert : list_path_to_insert length 0 new photo from crops !

About to upload 0 photos
WARNING : list_path_to_insert is empty, cannot upload !
map_result_insert : {}
insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : []
insert ignore into MTRPhoto.photo_sub_photos (photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s) : []
map of cropped photos with some data : 
{1105703688: [1105701500, 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1740584715_3116993_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)]}
we have finished the crop for the class : contaminant


map of total cropped photos with some data : 
{1105703688: [1105701500, 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1740584715_3116993_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)]}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.1370079517364502
time spend to save output : 4.649162292480469e-05
total time spend for step 1 : 0.137054443359375

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : crop_condition we use saveGeneral 
[1105701500, 1105701516]
 map_info['map_portfolio_photo'] : {6135916: [1105701516, 1105701500]}
 final :  True mtd_id 3990 list_pids : [1105701500, 1105701516]
Looping around the photos to save general results
len do output : 3
/1105703688Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1105703689Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1105703686Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2c8c08c040>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bec080d60>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bec080fa0>
Managing all output in save final without adding information in the mtr_datou_result 
('3990', None, None, None, None, None, None, None, None)
('3990', '6135916', '1105701500', None, None, None, None, None, None)
('3990', None, None, None, None, None, None, None, None)
('3990', '6135916', '1105701516', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 11
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('3990', None, '1105703688', 'None', None, None, None, None, None), ('3990', None, '1105703689', 'None', None, None, None, None, None), ('3990', None, '1105703686', 'None', None, None, None, None, None), ('3990', '6135916', '1105701500', None, None, None, None, None, None), ('3990', '6135916', '1105701516', None, None, None, None, None, None)]
time used for this insertion : 0.01819634437561035
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {1105703688: [1105701500, 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1740584715_3116993_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)]}
ret : {1105703688: [1105701500, 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1740584715_3116993_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1740584715_3116993_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)]}
res wanted : {1105703686: [1105701516, 'temp/1653313707_21236_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)], 1105703688: [1105701500, 'temp/1653313707_21236_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1653313707_21236_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)]}
fin du test de la step crop option blur

############################### TEST pma_consolidate  ################################
update MTRUser.mtr_portfolio_photos set hide_status=1 where mtr_portfolio_id in (
    select mtr_portfolio_id_2 from MTRPhoto.mtr_port_to_port_ids where mtr_portfolio_id_1 = 9778120)
    
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4492

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4492
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4492
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4492
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 12666 copy_chis is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 12667 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 12664 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition !
WARNING : number of outputs for step 12664 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 12671 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 12666 have datatype=11 whereas input 0 of step 12664 have datatype=2
WARNING : type of output 1 of step 12667 doesn't seem to be define in the database(
WARNING : type of input 3 of step 12665 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 12667 doesn't seem to be define in the database(
WARNING : type of input 1 of step 12664 doesn't seem to be define in the database(
WARNING : type of input 1 of step 12671 doesn't seem to be define in the database(
WARNING : output 1 of step 12664 have datatype=7 whereas input 1 of step 12671 have datatype=None
WARNING : type of output 1 of step 12671 doesn't seem to be define in the database(
WARNING : type of input 4 of step 12665 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 12666 doesn't seem to be define in the database(
WARNING : type of input 1 of step 12667 doesn't seem to be define in the database(
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : copy_chis, consolidate_hashtags_from_manual_portfolio, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (6549724) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (6549724)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1114046597, 'portfolio_id': 6549724}, {'photo_id': 1114046377, 'portfolio_id': 6549724}]
 map_portfolio_id_photo_id: {6549724: [1114046597, 1114046377]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1114046597
begin to download photo : 1114046377
download finish for photo 1114046597
download finish for photo 1114046377
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 2 ; length of list_pids : 2 ; length of list_args : 2
##### After load_data_input 
time to download the photos : 0.3693869113922119
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  5
step1:copy_chis
Wed Feb 26 16:45:15 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step datou_step_copy_crop
processing picture : temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg
processing picture : temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482)  and score>0.01and hashtag_id in (493061979,493012381) 
Loaded 21 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770)
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 88 chid ids of type : 4490
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
 map_nb_chis : {1114046377: 12, 1114046597: 9}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.05623149871826172
time spend to save output : 6.318092346191406e-05
total time spend for step 1 : 0.05629467964172363

step2:consolidate_hashtags_from_manual_portfolio
Wed Feb 26 16:45:15 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step consolidate_hashtags_from_manual_portfolio
Iterating over portfolio : 6549724
on est dans le IF portfolio mere 26T
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement'))  AND  mptpi.`min_score`=0.1
To do
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement'))  AND  mptpi.`min_score`=0.1
To do
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=9778120 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement'))  AND  mptpi.`min_score`=0.1
To do
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755323 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281235,1187281236,1187281237,1187281238,1187281239,1187281240,1187281241,1187281242,1187281243,1187281244,1187281245,1187281246,1187281247)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755346, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755323;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755346 and b.mtr_portfolio_id = 9755323;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092606, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755323;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092606 and b.mtr_portfolio_id = 9755323;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755324 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281457,1187281474,1187281473,1187281472,1187281471,1187281470,1187281468,1187281467,1187281466,1187281465,1187281464,1187281463,1187281462,1187281461,1187281458,1187281438,1187281456,1187281455,1187281453,1187281452,1187281451,1187281450,1187281449,1187281448,1187281447,1187281446,1187281443,1187281442,1187281441,1187281440)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755347, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755324;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755347 and b.mtr_portfolio_id = 9755324;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092607, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755324;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092607 and b.mtr_portfolio_id = 9755324;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755325 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281483,1187281484,1187281485)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046377) and `type` in (4482) 
Loaded 53 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755348, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755325;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755348 and b.mtr_portfolio_id = 9755325;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092608, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755325;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092608 and b.mtr_portfolio_id = 9755325;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755326 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281541,1187281542,1187281543,1187281544,1187281545,1187281546,1187281547,1187281548,1187281549)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755349, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755326;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755349 and b.mtr_portfolio_id = 9755326;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092609, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755326;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092609 and b.mtr_portfolio_id = 9755326;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755327 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755350, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755327;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755350 and b.mtr_portfolio_id = 9755327;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092610, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755327;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092610 and b.mtr_portfolio_id = 9755327;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755328 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281590)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046377) and `type` in (4482) 
Loaded 53 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755351, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755328;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755351 and b.mtr_portfolio_id = 9755328;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092611, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755328;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092611 and b.mtr_portfolio_id = 9755328;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755329 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755352, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755329;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755352 and b.mtr_portfolio_id = 9755329;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092612, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755329;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092612 and b.mtr_portfolio_id = 9755329;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755330 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755353, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755330;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755353 and b.mtr_portfolio_id = 9755330;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092613, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755330;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092613 and b.mtr_portfolio_id = 9755330;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755331 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755354, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755331;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755354 and b.mtr_portfolio_id = 9755331;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092614, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755331;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092614 and b.mtr_portfolio_id = 9755331;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755332 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755355, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755332;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755355 and b.mtr_portfolio_id = 9755332;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092615, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755332;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092615 and b.mtr_portfolio_id = 9755332;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755333 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281637,1187281639,1187281640,1187281641,1187281642,1187281643,1187281644)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755356, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755333;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755356 and b.mtr_portfolio_id = 9755333;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092616, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755333;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092616 and b.mtr_portfolio_id = 9755333;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755334 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755357, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755334;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755357 and b.mtr_portfolio_id = 9755334;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092617, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755334;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092617 and b.mtr_portfolio_id = 9755334;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755335 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755358, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755335;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755358 and b.mtr_portfolio_id = 9755335;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092618, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755335;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092618 and b.mtr_portfolio_id = 9755335;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755336 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755359, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755336;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755359 and b.mtr_portfolio_id = 9755336;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092619, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755336;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092619 and b.mtr_portfolio_id = 9755336;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755337 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755360, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755337;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755360 and b.mtr_portfolio_id = 9755337;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092620, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755337;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092620 and b.mtr_portfolio_id = 9755337;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755338 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755361, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755338;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755361 and b.mtr_portfolio_id = 9755338;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092621, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755338;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092621 and b.mtr_portfolio_id = 9755338;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755339 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755362, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755339;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755362 and b.mtr_portfolio_id = 9755339;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092622, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755339;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092622 and b.mtr_portfolio_id = 9755339;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755340 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755363, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755340;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755363 and b.mtr_portfolio_id = 9755340;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092623, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755340;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092623 and b.mtr_portfolio_id = 9755340;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755341 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281653,1187281655)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597) and `type` in (4482) 
Loaded 48 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755364, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755341;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755364 and b.mtr_portfolio_id = 9755341;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092624, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755341;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092624 and b.mtr_portfolio_id = 9755341;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755342 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187282123,1187282134,1187282131,1187282130,1187282129,1187282128,1187282127,1187282126,1187282125,1187282124,1187282110,1187282121,1187282119,1187282118,1187282117,1187282116,1187282115,1187282114,1187282112,1187282111)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755365, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755342;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755365 and b.mtr_portfolio_id = 9755342;
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
select 10092625, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755342;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =10092625 and b.mtr_portfolio_id = 9755342;
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (4534333,4534334,4534335,4534336,4534337,4534338,4534339,4534340,4534341,4534342,4534343,4534344,4534345,4534346,4534347,4534348,4534349,4534350,4534351,4534352);
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (4534382,4534383,4534384,4534385,4534386,4534387,4534388,4534389,4534390,4534391,4534392,4534393,4534394,4534395,4534396,4534397,4534398,4534399,4534400,4534401);
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (4533644,4533645,4533646,4533647,4533648,4533649,4533650,4533651,4533652,4533653,4533654,4533655,4533656,4533657,4533658,4533659,4533660,4533661,4533662,4533663);
To test !
Use context local managing function !

After datou_step_exec type output : <class 'str'>

time spend for datou_step_exec : 5.424962043762207
time spend to save output : 7.653236389160156e-05
total time spend for step 2 : 5.425038576126099

step3:rle_unique_nms_with_priority
Wed Feb 26 16:45:21 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : ['temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg']
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : ['temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg
on traite la photo : temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4490) and hashtag_id in (493012381,2107760329,2107760328,605975549,492626781,1608424396,530726390,492631919,494789423,492618350,492741797,2107756122,2107760128,2107759152,2107755900,628944319,2107755846,492628673,492774966,492668766) 
Loaded 88 chid ids of type : 4490
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805058423,2805058424,2805058425,2805058426,2805058427,2805058408,2805058409,2805058410,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058420,2805058411,2805058412,2805058413,2805058414,2805058415,2805058422,2805058428,2805058429,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058421,2805058416,2805058417,2805058418,2805058419,2805058430,2805058431)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805058423,2805058424,2805058425,2805058426,2805058427,2805058408,2805058409,2805058410,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058420,2805058411,2805058412,2805058413,2805058414,2805058415,2805058422,2805058428,2805058429,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058421,2805058416,2805058417,2805058418,2805058419,2805058430,2805058431)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805058423,2805058424,2805058425,2805058426,2805058427,2805058408,2805058409,2805058410,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058420,2805058411,2805058412,2805058413,2805058414,2805058415,2805058422,2805058428,2805058429,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058421,2805058416,2805058417,2805058418,2805058419,2805058430,2805058431)
seulement à utiliser dans la step consolidation
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 38 chid ids of type : 4490
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
save time : 0.033472299575805664
seulement à utiliser dans la step consolidation
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 50 chid ids of type : 4490
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
save time : 0.11159753799438477
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {1114046597: (0.09264291817443555, 'Should be the crop_list due to order', 0.042237513638672064), 1114046377: (0.09264291817443555, 'Should be the crop_list due to order', 0.14304832271019904)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 1.037954330444336
time spend to save output : 0.00013327598571777344
total time spend for step 3 : 1.0380876064300537

step4:ventilate_hashtags_in_portfolio
Wed Feb 26 16:45:22 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step ventilate_hashtags_in_portfolio : To implement !
Iterating over portfolio : 6549724
get user id for portfolio 6549724
get sub ptf for main ptf 6549724, type 4490 and hashtags ['papier', 'carton', 'metal', 'pet_clair', 'pehd', 'pet_fonce', 'pet_opaque', 'barquette_opaque', 'film_plastique', 'ela', 'sac', 'textiles', 'verre', 'organique', 'dasri', 'masque', 'encombrant', 'autre_emballage', 'autre_non_emballage', 'environnement', 'mal_croppe', 'flou']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
To do
returned map {'papier': {'main_port_id': 6549724, 'sub_port_id': 9755346, 'hashtag': 'papier', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534382, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'carton': {'main_port_id': 6549724, 'sub_port_id': 9755347, 'hashtag': 'carton', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534383, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'metal': {'main_port_id': 6549724, 'sub_port_id': 9755348, 'hashtag': 'metal', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534384, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'pet_clair': {'main_port_id': 6549724, 'sub_port_id': 9755349, 'hashtag': 'pet_clair', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534385, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'pehd': {'main_port_id': 6549724, 'sub_port_id': 9755350, 'hashtag': 'pehd', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534386, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'pet_fonce': {'main_port_id': 6549724, 'sub_port_id': 9755351, 'hashtag': 'pet_fonce', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534387, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'pet_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755352, 'hashtag': 'pet_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534388, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'barquette_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755353, 'hashtag': 'barquette_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534389, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'film_plastique': {'main_port_id': 6549724, 'sub_port_id': 9755354, 'hashtag': 'film_plastique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534390, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'ela': {'main_port_id': 6549724, 'sub_port_id': 9755355, 'hashtag': 'ela', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534391, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'sac': {'main_port_id': 6549724, 'sub_port_id': 9755356, 'hashtag': 'sac', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534392, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'textiles': {'main_port_id': 6549724, 'sub_port_id': 9755357, 'hashtag': 'textiles', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534393, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'verre': {'main_port_id': 6549724, 'sub_port_id': 9755358, 'hashtag': 'verre', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534394, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'organique': {'main_port_id': 6549724, 'sub_port_id': 9755359, 'hashtag': 'organique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534395, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'dasri': {'main_port_id': 6549724, 'sub_port_id': 9755360, 'hashtag': 'dasri', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534396, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'masque': {'main_port_id': 6549724, 'sub_port_id': 9755361, 'hashtag': 'masque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534397, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'encombrant': {'main_port_id': 6549724, 'sub_port_id': 9755362, 'hashtag': 'encombrant', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534398, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'autre_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755363, 'hashtag': 'autre_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534399, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'autre_non_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755364, 'hashtag': 'autre_non_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534400, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'environnement': {'main_port_id': 6549724, 'sub_port_id': 9755365, 'hashtag': 'environnement', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534401, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'mal_croppe': {'main_port_id': 6549724, 'sub_port_id': 9755366, 'hashtag': 'mal_croppe', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534402, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 42, 30)}, 'flou': {'main_port_id': 6549724, 'sub_port_id': 9755367, 'hashtag': 'flou', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534403, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 42, 30)}}
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755346 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='papier'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755347 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='carton'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755348 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='metal'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755349 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_clair'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755350 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pehd'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755351 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_fonce'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755352 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_opaque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755353 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='barquette_opaque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755354 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='film_plastique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755355 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='ela'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755356 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='sac'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755357 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='textiles'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755358 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='verre'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755359 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='organique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755360 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='dasri'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755361 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='masque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755362 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='encombrant'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755363 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre_emballage'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755364 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre_non_emballage'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755365 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='environnement'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755366 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='mal_croppe'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755367 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='flou'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
To do
returned map {'papier': {'main_port_id': 6549724, 'sub_port_id': 9755323, 'hashtag': 'papier', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534333, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'carton': {'main_port_id': 6549724, 'sub_port_id': 9755324, 'hashtag': 'carton', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534334, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'metal': {'main_port_id': 6549724, 'sub_port_id': 9755325, 'hashtag': 'metal', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534335, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'pet_clair': {'main_port_id': 6549724, 'sub_port_id': 9755326, 'hashtag': 'pet_clair', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534336, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'pehd': {'main_port_id': 6549724, 'sub_port_id': 9755327, 'hashtag': 'pehd', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534337, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'pet_fonce': {'main_port_id': 6549724, 'sub_port_id': 9755328, 'hashtag': 'pet_fonce', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534338, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'pet_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755329, 'hashtag': 'pet_opaque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534339, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'barquette_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755330, 'hashtag': 'barquette_opaque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534340, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'film_plastique': {'main_port_id': 6549724, 'sub_port_id': 9755331, 'hashtag': 'film_plastique', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534341, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'ela': {'main_port_id': 6549724, 'sub_port_id': 9755332, 'hashtag': 'ela', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534342, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'sac': {'main_port_id': 6549724, 'sub_port_id': 9755333, 'hashtag': 'sac', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534343, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'textiles': {'main_port_id': 6549724, 'sub_port_id': 9755334, 'hashtag': 'textiles', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534344, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'verre': {'main_port_id': 6549724, 'sub_port_id': 9755335, 'hashtag': 'verre', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534345, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'organique': {'main_port_id': 6549724, 'sub_port_id': 9755336, 'hashtag': 'organique', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534346, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'dasri': {'main_port_id': 6549724, 'sub_port_id': 9755337, 'hashtag': 'dasri', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534347, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'masque': {'main_port_id': 6549724, 'sub_port_id': 9755338, 'hashtag': 'masque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534348, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'encombrant': {'main_port_id': 6549724, 'sub_port_id': 9755339, 'hashtag': 'encombrant', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534349, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'autre_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755340, 'hashtag': 'autre_emballage', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534350, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'autre_non_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755341, 'hashtag': 'autre_non_emballage', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534351, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'environnement': {'main_port_id': 6549724, 'sub_port_id': 9755342, 'hashtag': 'environnement', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534352, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 21)}, 'mal_croppe': {'main_port_id': 6549724, 'sub_port_id': 9755344, 'hashtag': 'mal_croppe', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534354, 'last_updated_at': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 33, 50)}, 'flou': {'main_port_id': 6549724, 'sub_port_id': 9755345, 'hashtag': 'flou', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534355, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 43), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 43), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 33, 50)}}
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755323,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755346 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755324,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755347 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755325,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755348 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755326,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755349 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755327,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755350 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755328,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755351 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755329,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755352 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755330,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755353 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755331,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755354 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755332,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755355 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755333,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755356 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755334,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755357 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755335,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755358 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755336,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755359 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755337,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755360 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755338,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755361 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755339,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755362 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755340,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755363 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755341,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755364 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755342,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755365 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755344,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755366 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755345,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755367 


lien utilise dans velours :  https://www.fotonower.com/velours/9755323,9755324,9755325,9755326,9755327,9755328,9755329,9755330,9755331,9755332,9755333,9755334,9755335,9755336,9755337,9755338,9755339,9755340,9755341,9755342,9755344,9755345?tags=papier,carton,metal,pet_clair,pehd,pet_fonce,pet_opaque,barquette_opaque,film_plastique,ela,sac,textiles,verre,organique,dasri,masque,encombrant,autre_emballage,autre_non_emballage,environnement,mal_croppe,flou&datou_id_consolidate=4387&port_consolidate=6549724

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 1.635854959487915
time spend to save output : 8.320808410644531e-05
total time spend for step 4 : 1.6359381675720215

step5:final
Wed Feb 26 16:45:23 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
complete output_args for input 2 : {1114046597: (0.09264291817443555, 'Should be the crop_list due to order', 0.042237513638672064), 1114046377: (0.09264291817443555, 'Should be the crop_list due to order', 0.14304832271019904)}
 input_args_next_step : {1114046597: ()}
 output_args : {1114046597: (0.09264291817443555, 'Should be the crop_list due to order', 0.042237513638672064), 1114046377: (0.09264291817443555, 'Should be the crop_list due to order', 0.14304832271019904)}
 args : 1114046597
 depend.output_id : 0
 input_args_next_step : {1114046597: (0.09264291817443555,), 1114046377: ()}
 output_args : {1114046597: (0.09264291817443555, 'Should be the crop_list due to order', 0.042237513638672064), 1114046377: (0.09264291817443555, 'Should be the crop_list due to order', 0.14304832271019904)}
 args : 1114046377
 depend.output_id : 0
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : (0.09264291817443555,)
After prepare type args : <class 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1740584715_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1740584715_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}

Beginning of datou step final !
 query to retrieve results for portfolio 6549724 : SELECT photo_id, hashtag_id, ratio from MTRPhoto.photo_carac_ratio where hashtag_type = 4490  and photo_id in (1114046597,1114046377);
insert ignore into MTRUser.portfolio_carac_ratio (portfolio_id, hashtag_type, hashtag_id, value) values (%s,%s,%s,%s) on DUPLICATE KEY UPDATE value=VALUES(value)

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.020806312561035156
time spend to save output : 8.535385131835938e-05
total time spend for step 5 : 0.020891666412353516

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
original output for save of step final : {1114046597: ('0.3133414848207032',), 1114046377: ('0.3133414848207032',)}
new output for save of step final : {1114046597: ('0.3133414848207032',), 1114046377: ('0.3133414848207032',)}
[1114046597, 1114046377]
 map_info['map_portfolio_photo'] : {6549724: [1114046597, 1114046377]}
 final :  True mtd_id 4492 list_pids : [1114046597, 1114046377]
Looping around the photos to save general results
len do output : 2
/1114046597.Didn't retrieve data
.
/1114046377.Didn't retrieve data
.
before output type
Used above
Used above
Managing all output in save final without adding information in the mtr_datou_result 
('4492', None, None, None, None, None, None, None, None)
('4492', '6549724', '1114046597', None, None, None, None, None, None)
('4492', None, None, None, None, None, None, None, None)
('4492', '6549724', '1114046377', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 6
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4492', '6549724', '1114046597', '0.3133414848207032', None, None, None, None, None), ('4492', '6549724', '1114046377', '0.3133414848207032', None, None, None, None, None)]
time used for this insertion : 0.01258540153503418
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 5
 output : {1114046597: ('0.3133414848207032',), 1114046377: ('0.3133414848207032',)}
select mp.id, count(*) from MTRUser.mtr_portfolio_photos mpp, MTRUser.mtr_portfolios mp
    where mpp.mtr_portfolio_id = mp.id and mp.id in (
    select mtr_portfolio_id_2 from MTRPhoto.mtr_port_to_port_ids where mtr_portfolio_id_1 = 9778120)
    and hide_status = 0 group by mp.id order by id desc;
    
fin du test de portfolio mere absolue dans consolidate

############################### TEST pma_ventilate  ################################
delete from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in (
    select mtr_portfolio_id_2 from MTRPhoto.mtr_port_to_port_ids where mtr_portfolio_id_1 = 9974548);
    
Inside batchDatouExec : verbose : True
##### chargement datou
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4553

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4553
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4553
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4553
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 12795 copy_chis is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 12796 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 12793 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition !
WARNING : number of outputs for step 12793 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : output 0 of step 12795 have datatype=11 whereas input 0 of step 12793 have datatype=2
WARNING : type of output 1 of step 12796 doesn't seem to be define in the database(
WARNING : type of input 1 of step 12793 doesn't seem to be define in the database(
WARNING : type of input 1 of step 12800 doesn't seem to be define in the database(
WARNING : output 1 of step 12793 have datatype=7 whereas input 1 of step 12800 have datatype=None
WARNING : type of output 1 of step 12795 doesn't seem to be define in the database(
WARNING : type of input 1 of step 12796 doesn't seem to be define in the database(
DataTypes for each output/input checked !
no param json to modify
List Step Type Loaded in datou : copy_chis, consolidate_hashtags_from_manual_portfolio, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio
list_input_json : []
##### fin chargement datou
##### chargement data
##### Call load_data_input : nb_thread : 5
origin

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (6549724) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 10000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (6549724)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 10000
 list_result: [{'photo_id': 1114046597, 'portfolio_id': 6549724}, {'photo_id': 1114046377, 'portfolio_id': 6549724}]
 map_portfolio_id_photo_id: {6549724: [1114046597, 1114046377]}
##### Call download_photos : nb_thread : 5
begin to download photo : 1114046597
begin to download photo : 1114046377
download finish for photo 1114046597
download finish for photo 1114046377
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
##### After download_photos 
length of list_filenames : 2 ; length of list_pids : 2 ; length of list_args : 2
##### After load_data_input 
time to download the photos : 0.2575266361236572
#### fin chargement data
Blocking on flush ?
No conitnuing 
About to test input to load 
we should then remove the video here, and this would fix the bug of datou_current ! 
Calling datou_exec

Inside datou_exec : verbose : True
number of steps :  4
step1:copy_chis
Wed Feb 26 16:45:24 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584724_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1740584724_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1740584724_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1740584724_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step datou_step_copy_crop
processing picture : temp/1740584724_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg
processing picture : temp/1740584724_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482)  and score>0.01and hashtag_id in (493061979,493012381) 
Loaded 21 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770)
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 88 chid ids of type : 4490
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
 map_nb_chis : {1114046377: 12, 1114046597: 9}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.049684762954711914
time spend to save output : 5.054473876953125e-05
total time spend for step 1 : 0.049735307693481445

step2:consolidate_hashtags_from_manual_portfolio
Wed Feb 26 16:45:24 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584724_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1740584724_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1740584724_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1740584724_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step consolidate_hashtags_from_manual_portfolio
Iterating over portfolio : 6549724
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement')) 
To do
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement')) 
To do
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755323 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281235,1187281236,1187281237,1187281238,1187281239,1187281240,1187281241,1187281242,1187281243,1187281244,1187281245,1187281246,1187281247)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755346, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755323;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755346 and b.mtr_portfolio_id = 9755323;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755324 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281457,1187281474,1187281473,1187281472,1187281471,1187281470,1187281468,1187281467,1187281466,1187281465,1187281464,1187281463,1187281462,1187281461,1187281458,1187281438,1187281456,1187281455,1187281453,1187281452,1187281451,1187281450,1187281449,1187281448,1187281447,1187281446,1187281443,1187281442,1187281441,1187281440)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755347, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755324;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755347 and b.mtr_portfolio_id = 9755324;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755325 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281483,1187281484,1187281485)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046377) and `type` in (4482) 
Loaded 53 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755348, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755325;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755348 and b.mtr_portfolio_id = 9755325;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755326 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281541,1187281542,1187281543,1187281544,1187281545,1187281546,1187281547,1187281548,1187281549)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755349, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755326;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755349 and b.mtr_portfolio_id = 9755326;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755327 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755350, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755327;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755350 and b.mtr_portfolio_id = 9755327;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755328 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281590)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046377) and `type` in (4482) 
Loaded 53 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807)


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755351, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755328;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755351 and b.mtr_portfolio_id = 9755328;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755329 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755352, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755329;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755352 and b.mtr_portfolio_id = 9755329;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755330 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755353, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755330;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755353 and b.mtr_portfolio_id = 9755330;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755331 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755354, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755331;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755354 and b.mtr_portfolio_id = 9755331;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755332 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755355, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755332;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755355 and b.mtr_portfolio_id = 9755332;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755333 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281637,1187281639,1187281640,1187281641,1187281642,1187281643,1187281644)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755356, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755333;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755356 and b.mtr_portfolio_id = 9755333;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755334 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755357, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755334;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755357 and b.mtr_portfolio_id = 9755334;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755335 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755358, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755335;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755358 and b.mtr_portfolio_id = 9755335;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755336 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755359, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755336;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755359 and b.mtr_portfolio_id = 9755336;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755337 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755360, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755337;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755360 and b.mtr_portfolio_id = 9755337;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755338 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755361, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755338;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755361 and b.mtr_portfolio_id = 9755338;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755339 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755362, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755339;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755362 and b.mtr_portfolio_id = 9755339;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755340 
            AND mpp.hide_status=0 ORDER BY ph.size desc
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755363, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755340;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755363 and b.mtr_portfolio_id = 9755340;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755341 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187281653,1187281655)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597) and `type` in (4482) 
Loaded 48 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755364, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755341;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755364 and b.mtr_portfolio_id = 9755341;
TODO : # On doit donc construire les chi a partir des informations dans les photos filles
query : 
            SELECT ph.photo_id
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=9755342 
            AND mpp.hide_status=0 ORDER BY ph.size desc

        SELECT distinct chi.photo_id
        FROM MTRPhoto.crop_hashtag_ids chi,
        MTRPhoto.crop_sub_photo_ids csp
        WHERE chi.id=csp.crop_hashtag_id
        AND chi.type=4482
        AND csp.sub_photo_id IN (1187282123,1187282134,1187282131,1187282130,1187282129,1187282128,1187282127,1187282126,1187282125,1187282124,1187282110,1187282121,1187282119,1187282118,1187282117,1187282116,1187282115,1187282114,1187282112,1187282111)
        
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4482) 
Loaded 101 chid ids of type : 4482
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805052795,2805052815,2805052790,2805052779,2805052794,2805052782,2805052792,2805052785,2805052788,2805052786,2805052777,2805052805,2805052823,2805052800,2805052813,2805052806,2805052798,2805052802,2805052820,2805052783,2805052799,2805052809,2805052804,2805052778,2805052821,2805052808,2805052775,2805052781,2805052818,2805052773,2805052787,2805052819,2805052771,2805052797,2805052780,2805052791,2805052814,2805052803,2805052772,2805052776,2805052811,2805052774,2805052812,2805052822,2805052789,2805052810,2805052801,2805052817,2805052816,2805052793,2805052796,2805052784,2805052807,2805052763,2805052734,2805052751,2805052754,2805052755,2805052742,2805052747,2805052731,2805052753,2805052746,2805052758,2805052732,2805052761,2805052737,2805052756,2805052730,2805052744,2805052725,2805052745,2805052739,2805052729,2805052769,2805052738,2805052762,2805052724,2805052728,2805052735,2805052727,2805052768,2805052723,2805052749,2805052752,2805052757,2805052743,2805052760,2805052740,2805052726,2805052770,2805052759,2805052766,2805052736,2805052741,2805052765,2805052764,2805052733,2805052767,2805052748,2805052750)


begin to find the sub_photo_id : 


begin to find the sub_photo_id : 
insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id)
        select 9755365, mtr_photo_id, 0 from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755342;
update MTRUser.mtr_portfolio_photos as a inner join MTRUser.mtr_portfolio_photos as b
        on a.mtr_photo_id = b.mtr_photo_id set  a.hide_status = b.hide_status where a.mtr_portfolio_id =9755365 and b.mtr_portfolio_id = 9755342;
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (4534333,4534334,4534335,4534336,4534337,4534338,4534339,4534340,4534341,4534342,4534343,4534344,4534345,4534346,4534347,4534348,4534349,4534350,4534351,4534352);
UPDATE MTRPhoto.mtr_port_to_port_ids set last_updated_at_asc=NOW(), updated_at=NOW() WHERE id in (4534382,4534383,4534384,4534385,4534386,4534387,4534388,4534389,4534390,4534391,4534392,4534393,4534394,4534395,4534396,4534397,4534398,4534399,4534400,4534401);
To test !
Use context local managing function !

After datou_step_exec type output : <class 'str'>

time spend for datou_step_exec : 1.9891331195831299
time spend to save output : 8.0108642578125e-05
total time spend for step 2 : 1.989213228225708

step3:rle_unique_nms_with_priority
Wed Feb 26 16:45:26 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
complete output_args for input 0 : ['temp/1740584724_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'temp/1740584724_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg']
We expect there is only one output and this part is used while all output are not tuple or array
We expect there is only one output and this part is used while all output are not tuple or array
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :2, first value : ['temp/1740584724_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584724_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1740584724_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1740584724_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1740584724_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1740584724_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg
on traite la photo : temp/1740584724_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1114046597,1114046377) and `type` in (4490) and hashtag_id in (493012381,2107760329,2107760328,605975549,492626781,1608424396,530726390,492631919,494789423,492618350,492741797,2107756122,2107760128,2107759152,2107755900,628944319,2107755846,492628673,492774966,492668766) 
Loaded 88 chid ids of type : 4490
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2805058423,2805058424,2805058425,2805058426,2805058427,2805058408,2805058409,2805058410,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058420,2805058411,2805058412,2805058413,2805058414,2805058415,2805058422,2805058428,2805058429,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058421,2805058416,2805058417,2805058418,2805058419,2805058430,2805058431)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805058423,2805058424,2805058425,2805058426,2805058427,2805058408,2805058409,2805058410,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058420,2805058411,2805058412,2805058413,2805058414,2805058415,2805058422,2805058428,2805058429,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058421,2805058416,2805058417,2805058418,2805058419,2805058430,2805058431)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805058423,2805058424,2805058425,2805058426,2805058427,2805058408,2805058409,2805058410,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058420,2805058411,2805058412,2805058413,2805058414,2805058415,2805058422,2805058428,2805058429,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058421,2805058416,2805058417,2805058418,2805058419,2805058430,2805058431)
seulement à utiliser dans la step consolidation
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 38 chid ids of type : 4490
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
save time : 0.031023263931274414
seulement à utiliser dans la step consolidation
insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)
batch 1
Loaded 50 chid ids of type : 4490
Number RLEs to save : 0
 TO DO : save crop sub photo not yet done ! 
save time : 0.035178184509277344
INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`)
                            VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`)
 map_output_result : {1114046597: (0.09264291817443555, 'Should be the crop_list due to order', 0.042237513638672064), 1114046377: (0.09264291817443555, 'Should be the crop_list due to order', 0.14304832271019904)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.9982273578643799
time spend to save output : 0.00012922286987304688
total time spend for step 3 : 0.9983565807342529

step4:ventilate_hashtags_in_portfolio
Wed Feb 26 16:45:27 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior 
Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed
We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input !
VR 22-3-18 : For now we do not clean correctly the datou structure 

input_args_next_step, len :0, first value : []
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1740584724_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1740584724_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1740584724_3116993_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1740584724_3116993_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
beginning of datou step ventilate_hashtags_in_portfolio : To implement !
Iterating over portfolio : 6549724
get user id for portfolio 6549724
get sub ptf for main ptf 9974548, type 4490 and hashtags ['papier', 'carton', 'metal', 'pet_clair', 'pehd', 'pet_fonce', 'pet_opaque', 'barquette_opaque', 'film_plastique', 'ela', 'sac', 'textiles', 'verre', 'organique', 'dasri', 'masque', 'encombrant', 'autre_emballage', 'autre_non_emballage', 'environnement', 'mal_croppe', 'flou']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=9974548 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=9974548 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
To do
returned map {'papier': {'main_port_id': 9974548, 'sub_port_id': 9974558, 'hashtag': 'papier', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533836, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'carton': {'main_port_id': 9974548, 'sub_port_id': 9974559, 'hashtag': 'carton', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533837, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'metal': {'main_port_id': 9974548, 'sub_port_id': 9974560, 'hashtag': 'metal', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533838, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'pet_clair': {'main_port_id': 9974548, 'sub_port_id': 9974561, 'hashtag': 'pet_clair', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533839, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'pehd': {'main_port_id': 9974548, 'sub_port_id': 9974562, 'hashtag': 'pehd', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533840, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'pet_fonce': {'main_port_id': 9974548, 'sub_port_id': 9974563, 'hashtag': 'pet_fonce', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533841, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'pet_opaque': {'main_port_id': 9974548, 'sub_port_id': 9974564, 'hashtag': 'pet_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533842, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'barquette_opaque': {'main_port_id': 9974548, 'sub_port_id': 9974565, 'hashtag': 'barquette_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533843, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'film_plastique': {'main_port_id': 9974548, 'sub_port_id': 9974566, 'hashtag': 'film_plastique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533844, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'ela': {'main_port_id': 9974548, 'sub_port_id': 9974567, 'hashtag': 'ela', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533845, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'sac': {'main_port_id': 9974548, 'sub_port_id': 9974568, 'hashtag': 'sac', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533846, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'textiles': {'main_port_id': 9974548, 'sub_port_id': 9974569, 'hashtag': 'textiles', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533847, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'verre': {'main_port_id': 9974548, 'sub_port_id': 9974570, 'hashtag': 'verre', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533848, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'organique': {'main_port_id': 9974548, 'sub_port_id': 9974571, 'hashtag': 'organique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533849, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'dasri': {'main_port_id': 9974548, 'sub_port_id': 9974572, 'hashtag': 'dasri', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533850, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'masque': {'main_port_id': 9974548, 'sub_port_id': 9974573, 'hashtag': 'masque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533851, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'encombrant': {'main_port_id': 9974548, 'sub_port_id': 9974574, 'hashtag': 'encombrant', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533852, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'autre_emballage': {'main_port_id': 9974548, 'sub_port_id': 9974575, 'hashtag': 'autre_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533853, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'autre_non_emballage': {'main_port_id': 9974548, 'sub_port_id': 9974576, 'hashtag': 'autre_non_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533854, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'environnement': {'main_port_id': 9974548, 'sub_port_id': 9974577, 'hashtag': 'environnement', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533855, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'mal_croppe': {'main_port_id': 9974548, 'sub_port_id': 9974578, 'hashtag': 'mal_croppe', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533856, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}, 'flou': {'main_port_id': 9974548, 'sub_port_id': 9974579, 'hashtag': 'flou', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4533857, 'last_updated_at': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 11, 42, 59), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 17, 20, 8)}}
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='papier'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974558;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974558 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='papier'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='carton'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974559;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974559 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='carton'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='metal'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974560;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974560 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='metal'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pet_clair'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974561;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974561 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_clair'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pehd'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974562;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974562 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pehd'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pet_fonce'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974563;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974563 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_fonce'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pet_opaque'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974564;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974564 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_opaque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='barquette_opaque'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974565;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974565 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='barquette_opaque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='film_plastique'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974566;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974566 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='film_plastique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='ela'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974567;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974567 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='ela'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='sac'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974568;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974568 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='sac'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='textiles'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974569;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974569 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='textiles'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='verre'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974570;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974570 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='verre'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='organique'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974571;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974571 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='organique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='dasri'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974572;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974572 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='dasri'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='masque'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974573;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974573 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='masque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='encombrant'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974574;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974574 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='encombrant'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='autre_emballage'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974575;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974575 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre_emballage'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='autre_non_emballage'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974576;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974576 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre_non_emballage'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='environnement'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974577;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974577 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='environnement'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='mal_croppe'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974578;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974578 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='mal_croppe'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='flou'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9974579;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9974579 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='flou'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !
get sub ptf for main ptf 6549724, type 4490 and hashtags ['papier', 'carton', 'metal', 'pet_clair', 'pehd', 'pet_fonce', 'pet_opaque', 'barquette_opaque', 'film_plastique', 'ela', 'sac', 'textiles', 'verre', 'organique', 'dasri', 'masque', 'encombrant', 'autre_emballage', 'autre_non_emballage', 'environnement', 'mal_croppe', 'flou']
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4490 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
To do
returned map {'papier': {'main_port_id': 6549724, 'sub_port_id': 9755346, 'hashtag': 'papier', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534382, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'carton': {'main_port_id': 6549724, 'sub_port_id': 9755347, 'hashtag': 'carton', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534383, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'metal': {'main_port_id': 6549724, 'sub_port_id': 9755348, 'hashtag': 'metal', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534384, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'pet_clair': {'main_port_id': 6549724, 'sub_port_id': 9755349, 'hashtag': 'pet_clair', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534385, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'pehd': {'main_port_id': 6549724, 'sub_port_id': 9755350, 'hashtag': 'pehd', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534386, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'pet_fonce': {'main_port_id': 6549724, 'sub_port_id': 9755351, 'hashtag': 'pet_fonce', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534387, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'pet_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755352, 'hashtag': 'pet_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534388, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'barquette_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755353, 'hashtag': 'barquette_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534389, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'film_plastique': {'main_port_id': 6549724, 'sub_port_id': 9755354, 'hashtag': 'film_plastique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534390, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'ela': {'main_port_id': 6549724, 'sub_port_id': 9755355, 'hashtag': 'ela', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534391, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'sac': {'main_port_id': 6549724, 'sub_port_id': 9755356, 'hashtag': 'sac', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534392, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'textiles': {'main_port_id': 6549724, 'sub_port_id': 9755357, 'hashtag': 'textiles', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534393, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'verre': {'main_port_id': 6549724, 'sub_port_id': 9755358, 'hashtag': 'verre', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534394, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'organique': {'main_port_id': 6549724, 'sub_port_id': 9755359, 'hashtag': 'organique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534395, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'dasri': {'main_port_id': 6549724, 'sub_port_id': 9755360, 'hashtag': 'dasri', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534396, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'masque': {'main_port_id': 6549724, 'sub_port_id': 9755361, 'hashtag': 'masque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534397, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'encombrant': {'main_port_id': 6549724, 'sub_port_id': 9755362, 'hashtag': 'encombrant', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534398, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'autre_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755363, 'hashtag': 'autre_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534399, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'autre_non_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755364, 'hashtag': 'autre_non_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534400, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'environnement': {'main_port_id': 6549724, 'sub_port_id': 9755365, 'hashtag': 'environnement', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534401, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'mal_croppe': {'main_port_id': 6549724, 'sub_port_id': 9755366, 'hashtag': 'mal_croppe', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534402, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 42, 30)}, 'flou': {'main_port_id': 6549724, 'sub_port_id': 9755367, 'hashtag': 'flou', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534403, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 22), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 42, 30)}}
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='papier'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755346;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755346 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='papier'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='carton'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755347;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755347 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='carton'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='metal'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755348;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755348 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='metal'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pet_clair'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755349;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755349 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_clair'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pehd'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755350;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755350 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pehd'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pet_fonce'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755351;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755351 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_fonce'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='pet_opaque'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755352;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755352 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='pet_opaque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='barquette_opaque'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755353;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755353 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='barquette_opaque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='film_plastique'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755354;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755354 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='film_plastique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='ela'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755355;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755355 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='ela'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='sac'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755356;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755356 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='sac'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='textiles'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755357;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755357 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='textiles'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='verre'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755358;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755358 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='verre'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='organique'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755359;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755359 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='organique'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='dasri'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755360;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755360 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='dasri'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='masque'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755361;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755361 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='masque'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='encombrant'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755362;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755362 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='encombrant'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='autre_emballage'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755363;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755363 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre_emballage'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='autre_non_emballage'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755364;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755364 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='autre_non_emballage'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='environnement'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755365;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755365 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='environnement'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='mal_croppe'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755366;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755366 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='mal_croppe'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
 update MTRUser.mtr_portfolio_photos set hide_status = 1 where mtr_photo_id not in (
                        select sub_photo_id from (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
                        FROM MTRPhoto.crop_sub_photo_ids csp,
                        MTRPhoto.crop_hashtag_ids chi,
                        MTRBack.hashtags h,
                        MTRUser.mtr_portfolio_photos mpp
                        WHERE mpp.mtr_portfolio_id=6549724
                        AND mpp.mtr_photo_id=chi.photo_id
                        AND chi.id=csp.crop_hashtag_id
                        AND chi.score>0.1
                        AND chi.type=4490
                        AND chi.hashtag_id=h.hashtag_id
                        AND h.hashtag='flou'
                        GROUP BY csp.crop_hashtag_id, csp.created_at
                        order by csp.created_at desc) as a
                        ) and mtr_portfolio_id = 9755367;
 insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at)
SELECT 9755367 , sub_photo_id, 31,now() 
FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at
FROM MTRPhoto.crop_sub_photo_ids csp,
MTRPhoto.crop_hashtag_ids chi,
MTRBack.hashtags h,
MTRUser.mtr_portfolio_photos mpp
WHERE mpp.mtr_portfolio_id=6549724
AND mpp.mtr_photo_id=chi.photo_id
AND chi.id=csp.crop_hashtag_id
AND chi.score>0.1
AND chi.type=4490
AND chi.hashtag_id=h.hashtag_id
AND h.hashtag='flou'
GROUP BY csp.crop_hashtag_id, csp.created_at
order by csp.created_at desc) as a group by crop_hashtag_id; 
To do !
Use context local managing function !
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id,
        mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc,
        h.hashtag
        FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h  WHERE  h.hashtag_id=mptpi.hashtag_id  AND  mptpi.`mtr_portfolio_id_1`=6549724 AND  mptpi.`type`=4483 AND  mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','mal_croppe','flou'))  AND  mptpi.`min_score`=0.1
To do
returned map {'papier': {'main_port_id': 6549724, 'sub_port_id': 9755323, 'hashtag': 'papier', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534333, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'carton': {'main_port_id': 6549724, 'sub_port_id': 9755324, 'hashtag': 'carton', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534334, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'metal': {'main_port_id': 6549724, 'sub_port_id': 9755325, 'hashtag': 'metal', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534335, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'pet_clair': {'main_port_id': 6549724, 'sub_port_id': 9755326, 'hashtag': 'pet_clair', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534336, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'pehd': {'main_port_id': 6549724, 'sub_port_id': 9755327, 'hashtag': 'pehd', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534337, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'pet_fonce': {'main_port_id': 6549724, 'sub_port_id': 9755328, 'hashtag': 'pet_fonce', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534338, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'pet_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755329, 'hashtag': 'pet_opaque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534339, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'barquette_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755330, 'hashtag': 'barquette_opaque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534340, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'film_plastique': {'main_port_id': 6549724, 'sub_port_id': 9755331, 'hashtag': 'film_plastique', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534341, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'ela': {'main_port_id': 6549724, 'sub_port_id': 9755332, 'hashtag': 'ela', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534342, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'sac': {'main_port_id': 6549724, 'sub_port_id': 9755333, 'hashtag': 'sac', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534343, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'textiles': {'main_port_id': 6549724, 'sub_port_id': 9755334, 'hashtag': 'textiles', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534344, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'verre': {'main_port_id': 6549724, 'sub_port_id': 9755335, 'hashtag': 'verre', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534345, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'organique': {'main_port_id': 6549724, 'sub_port_id': 9755336, 'hashtag': 'organique', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534346, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'dasri': {'main_port_id': 6549724, 'sub_port_id': 9755337, 'hashtag': 'dasri', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534347, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'masque': {'main_port_id': 6549724, 'sub_port_id': 9755338, 'hashtag': 'masque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534348, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'encombrant': {'main_port_id': 6549724, 'sub_port_id': 9755339, 'hashtag': 'encombrant', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534349, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'autre_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755340, 'hashtag': 'autre_emballage', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534350, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'autre_non_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755341, 'hashtag': 'autre_non_emballage', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534351, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'environnement': {'main_port_id': 6549724, 'sub_port_id': 9755342, 'hashtag': 'environnement', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534352, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 26), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 26, 16, 45, 26)}, 'mal_croppe': {'main_port_id': 6549724, 'sub_port_id': 9755344, 'hashtag': 'mal_croppe', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534354, 'last_updated_at': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 33, 50)}, 'flou': {'main_port_id': 6549724, 'sub_port_id': 9755345, 'hashtag': 'flou', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534355, 'last_updated_at': datetime.datetime(2025, 2, 26, 16, 45, 23), 'last_updated_at_desc': datetime.datetime(2025, 2, 26, 16, 45, 23), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 33, 50)}}
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755323,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755346 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755324,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755347 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755325,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755348 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755326,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755349 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755327,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755350 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755328,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755351 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755329,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755352 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755330,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755353 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755331,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755354 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755332,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755355 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755333,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755356 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755334,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755357 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755335,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755358 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755336,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755359 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755337,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755360 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755338,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755361 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755339,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755362 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755340,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755363 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755341,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755364 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755342,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755365 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755344,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755366 
insert ignore into MTRUser.mtr_portfolio_photos(mtr_portfolio_id,mtr_photo_id,mtr_user_id)
                   select 9755345,mtr_photo_id,mtr_user_id  from MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 9755367 


lien utilise dans velours :  https://www.fotonower.com/velours/9755323,9755324,9755325,9755326,9755327,9755328,9755329,9755330,9755331,9755332,9755333,9755334,9755335,9755336,9755337,9755338,9755339,9755340,9755341,9755342,9755344,9755345?tags=papier,carton,metal,pet_clair,pehd,pet_fonce,pet_opaque,barquette_opaque,film_plastique,ela,sac,textiles,verre,organique,dasri,masque,encombrant,autre_emballage,autre_non_emballage,environnement,mal_croppe,flou&datou_id_consolidate=4387&port_consolidate=6549724

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 0.9652926921844482
time spend to save output : 6.747245788574219e-05
total time spend for step 4 : 0.965360164642334

caffe_path_current : 
<module 'caffe' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/__init__.py'>
<module 'caffe.classifier' from '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/caffe/classifier.py'>
About to save ! 1
Inside saveOutput : final : True verbose : True
 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral 
[1114046597, 1114046377]
 map_info['map_portfolio_photo'] : {6549724: [1114046597, 1114046377]}
 final :  True mtd_id 4553 list_pids : [1114046597, 1114046377]
Looping around the photos to save general results
len do output : 1
/6549724.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f2bec080e50>
Managing all output in save final without adding information in the mtr_datou_result 
('4553', None, None, None, None, None, None, None, None)
('4553', '6549724', '1114046597', None, None, None, None, None, None)
('4553', None, None, None, None, None, None, None, None)
('4553', '6549724', '1114046377', None, None, None, None, None, None)


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 3
insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id
 list_values : [('4553', None, '6549724', "{'papier': 9755346, 'carton': 9755347, 'metal': 9755348, 'pet_clair': 9755349, 'pehd': 9755350, 'pet_fonce': 9755351, 'pet_opaque': 9755352, 'barquette_opaque': 9755353, 'film_plastique': 9755354, 'ela': 9755355, 'sac': 9755356, 'textiles': 9755357, 'verre': 9755358, 'organique': 9755359, 'dasri': 9755360, 'masque': 9755361, 'encombrant': 9755362, 'autre_emballage': 9755363, 'autre_non_emballage': 9755364, 'environnement': 9755365, 'mal_croppe': 9755366, 'flou': 9755367}", None, None, None, None, None), ('4553', '6549724', '1114046597', None, None, None, None, None, None), ('4553', '6549724', '1114046377', None, None, None, None, None, None)]
time used for this insertion : 0.01201176643371582
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 4
 output : {6549724: [{'papier': 9755346, 'carton': 9755347, 'metal': 9755348, 'pet_clair': 9755349, 'pehd': 9755350, 'pet_fonce': 9755351, 'pet_opaque': 9755352, 'barquette_opaque': 9755353, 'film_plastique': 9755354, 'ela': 9755355, 'sac': 9755356, 'textiles': 9755357, 'verre': 9755358, 'organique': 9755359, 'dasri': 9755360, 'masque': 9755361, 'encombrant': 9755362, 'autre_emballage': 9755363, 'autre_non_emballage': 9755364, 'environnement': 9755365, 'mal_croppe': 9755366, 'flou': 9755367}]}
select mp.id, count(*) from MTRUser.mtr_portfolio_photos mpp, MTRUser.mtr_portfolios mp
    where mpp.mtr_portfolio_id = mp.id and mp.id in (
    select mtr_portfolio_id_2 from MTRPhoto.mtr_port_to_port_ids where mtr_portfolio_id_1 = 9974548)
    and hide_status = 0 group by mp.id order by id desc;
    
fin du test de portfolio mere absolue dans consolidate
[('sam', 'SUCCESS', True), ('frcnn', 'SUCCESS', True), ('thcl', 'SUCCESS', True), ('tfhub2', 'SUCCESS', True), ('ordonner', 'SUCCESS', True), ('rotate', 'SUCCESS', True), ('data_augmentation_ellipse_varroa_tile_rotate', 'SUCCESS', True), ('flip', 'SUCCESS', True), ('crop_rles', 'FAILURE', False), ('angular_coeff', 'SUCCESS', True), ('detection_filter_by_crop', 'SUCCESS', True), ('detection_filter_by_classif', 'SUCCESS', True), ('blur_detection', 'success', True), ('detect_point_224x224', 'SUCCESS', True), ('certificat_qualite_papier', 'SUCCESS', True), ('image_temperature_detection', 'success', True), ('broca', 'success', True), ('crop_conditional', 'success', True), ('image_blanchir', 'success', True), ('darker_image', 'success', True), ('img_aug', 'success', True), ('rubbia', 'success', True), ('rubbia_split_dark', 'success', True), ('rubbia_append', 'success', True), ('rubbia_horaire', 'failed', False), ('rle_unique_nms_with_priority', 'SUCCESS', True), ('random_deformation', 'success', True), ('tile', 'Success', True), ('rotate_chi', 'Success', True), ('rubbia_carac_pet_clair_0121_no_cnn', 'success', True), ('rubbia_carac_jrm_no_mask_detect', 'success', True), ('ventilate_hashtags_in_portfolio', 'success', True), ('poly_ro_rle', 'Success', True), ('cod_sts', 'success', True), ('cod_download', 'success', True), ('sendgrid', 'Success', True), ('rym_consolidate', 'Success', True), ('generate_new_image_add_crop', 'Success', True), ('velours_tree', 'Success', True), ('step ACP', 'Success', True), ('blur_crop', 'Success', True), ('pma_consolidate', 'Success', True), ('pma_ventilate', 'Success', True)]
 res_total : False

#&_#_#&_# TEST sam SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST frcnn SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST thcl SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST tfhub2 SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST ordonner SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rotate SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST data_augmentation_ellipse_varroa_tile_rotate SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST flip SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST crop_rles FAILED #&_#_#&_#

#&_#_#&_# TEST angular_coeff SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST detection_filter_by_crop SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST detection_filter_by_classif SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST blur_detection SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST detect_point_224x224 SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST certificat_qualite_papier SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST image_temperature_detection SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST broca SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST crop_conditional SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST image_blanchir SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST darker_image SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST img_aug SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rubbia SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rubbia_split_dark SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rubbia_append SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rubbia_horaire FAILED #&_#_#&_#

#&_#_#&_# TEST rle_unique_nms_with_priority SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST random_deformation SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST tile SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rotate_chi SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rubbia_carac_pet_clair_0121_no_cnn SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rubbia_carac_jrm_no_mask_detect SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST ventilate_hashtags_in_portfolio SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST poly_ro_rle SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST cod_sts SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST cod_download SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST sendgrid SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST rym_consolidate SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST generate_new_image_add_crop SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST velours_tree SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST step ACP SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST blur_crop SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST pma_consolidate SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST pma_ventilate SUCCEEDED #&_#_#&_#


#&_# TEST FAILED #&_# : tests/datou_test #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"sam": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','sam');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"frcnn": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','frcnn');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"thcl": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','thcl');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"tfhub2": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','tfhub2');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"ordonner": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','ordonner');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"rotate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','rotate');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"data_augmentation_ellipse_varroa_tile_rotate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','data_augmentation_ellipse_varroa_tile_rotate');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"flip": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','flip');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"crop_rles": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','crop_rles');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"angular_coeff": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','angular_coeff');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"detection_filter_by_crop": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','detection_filter_by_crop');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"detection_filter_by_classif": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','detection_filter_by_classif');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"blur_detection": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','blur_detection');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"detect_point_224x224": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','detect_point_224x224');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"certificat_qualite_papier": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','certificat_qualite_papier');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"image_temperature_detection": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','image_temperature_detection');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"broca": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','broca');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"crop_conditional": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','crop_conditional');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"image_blanchir": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','image_blanchir');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"darker_image": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','darker_image');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"img_aug": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','img_aug');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"rubbia": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','rubbia');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"rubbia_split_dark": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','rubbia_split_dark');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"rubbia_append": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','rubbia_append');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"rubbia_horaire": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','rubbia_horaire');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"rle_unique_nms_with_priority": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','rle_unique_nms_with_priority');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"random_deformation": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','random_deformation');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"tile": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','tile');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"rotate_chi": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','rotate_chi');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"rubbia_carac_pet_clair_0121_no_cnn": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','rubbia_carac_pet_clair_0121_no_cnn');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"rubbia_carac_jrm_no_mask_detect": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','rubbia_carac_jrm_no_mask_detect');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"ventilate_hashtags_in_portfolio": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','ventilate_hashtags_in_portfolio');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"poly_ro_rle": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','poly_ro_rle');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"cod_sts": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','cod_sts');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"cod_download": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','cod_download');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"sendgrid": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','sendgrid');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"rym_consolidate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','rym_consolidate');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"generate_new_image_add_crop": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','generate_new_image_add_crop');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"velours_tree": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','velours_tree');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"step ACP": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','step ACP');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"blur_crop": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','blur_crop');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"pma_consolidate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','pma_consolidate');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"pma_ventilate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','datou','pma_ventilate');

#&_# END OF TEST #&_# : tests/datou_test #&_# 





#&_# BEGIN OF TEST : mtr/database_queries/CacheModelData_queries #&_# 


/home/admin/workarea/git/Velours/python/mtr/database_queries/CacheModelData_queries.py
<module 'mtr.database_queries.CacheModelData_queries' from '/home/admin/workarea/git/Velours/python/mtr/database_queries/CacheModelData_queries.py'>
Test Cache Model Data
test a faire VR 27-9-17


#&_# TEST SUCCEEDED #&_# : mtr/database_queries/CacheModelData_queries #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"CacheModelData_queries": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','CacheModelData_queries','unknown');

#&_# END OF TEST #&_# : mtr/database_queries/CacheModelData_queries #&_# 





#&_# BEGIN OF TEST : tests/cache_photo_data_test #&_# 


/home/admin/workarea/git/Velours/python/tests/cache_photo_data_test.py
<module 'tests.cache_photo_data_test' from '/home/admin/workarea/git/Velours/python/tests/cache_photo_data_test.py'>
Test local_cache_photo 

############################### test_download_photos_by_local_cache ################################

test download portfolio 1162416 : 574 photos

            SELECT ph.photo_id, ph.url
            FROM MTRBack.photos ph  WHERE  ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (1162416) and hide_status = 0 ) 
            ORDER BY ph.photo_id DESC  LIMIT 0, 1000000
We have 1 , 
{}

        SELECT mtr_photo_id, mtr_portfolio_id
        FROM MTRUser.mtr_portfolio_photos
        WHERE mtr_portfolio_id in (1162416)
        AND hide_status = 0
        ORDER by mtr_photo_id desc LIMIT 0, 1000000
 list_result: [{'photo_id': 947118557, 'portfolio_id': 1162416}, {'photo_id': 947117332, 'portfolio_id': 1162416}, {'photo_id': 947116978, 'portfolio_id': 1162416}, {'photo_id': 947094003, 'portfolio_id': 1162416}, {'photo_id': 947074070, 'portfolio_id': 1162416}, {'photo_id': 947073868, 'portfolio_id': 1162416}, {'photo_id': 947073564, 'portfolio_id': 1162416}, {'photo_id': 947072790, 'portfolio_id': 1162416}, {'photo_id': 947064745, 'portfolio_id': 1162416}, {'photo_id': 947063327, 'portfolio_id': 1162416}, {'photo_id': 947063078, 'portfolio_id': 1162416}, {'photo_id': 947038224, 'portfolio_id': 1162416}, {'photo_id': 947037232, 'portfolio_id': 1162416}, {'photo_id': 947005262, 'portfolio_id': 1162416}, {'photo_id': 946989144, 'portfolio_id': 1162416}, {'photo_id': 946963782, 'portfolio_id': 1162416}, {'photo_id': 946937784, 'portfolio_id': 1162416}, {'photo_id': 946937387, 'portfolio_id': 1162416}, {'photo_id': 946921140, 'portfolio_id': 1162416}, {'photo_id': 946892570, 'portfolio_id': 1162416}, {'photo_id': 946871837, 'portfolio_id': 1162416}, {'photo_id': 946846441, 'portfolio_id': 1162416}, {'photo_id': 946833000, 'portfolio_id': 1162416}, {'photo_id': 946798783, 'portfolio_id': 1162416}, {'photo_id': 946781036, 'portfolio_id': 1162416}, {'photo_id': 946759661, 'portfolio_id': 1162416}, {'photo_id': 946624058, 'portfolio_id': 1162416}, {'photo_id': 946586956, 'portfolio_id': 1162416}, {'photo_id': 946572679, 'portfolio_id': 1162416}, {'photo_id': 946545288, 'portfolio_id': 1162416}, {'photo_id': 946540235, 'portfolio_id': 1162416}, {'photo_id': 946528705, 'portfolio_id': 1162416}, {'photo_id': 946522227, 'portfolio_id': 1162416}, {'photo_id': 946467551, 'portfolio_id': 1162416}, {'photo_id': 946447431, 'portfolio_id': 1162416}, {'photo_id': 946424646, 'portfolio_id': 1162416}, {'photo_id': 946395673, 'portfolio_id': 1162416}, {'photo_id': 946378913, 'portfolio_id': 1162416}, {'photo_id': 946352329, 'portfolio_id': 1162416}, {'photo_id': 946349460, 'portfolio_id': 1162416}, {'photo_id': 946325476, 'portfolio_id': 1162416}, {'photo_id': 946311655, 'portfolio_id': 1162416}, {'photo_id': 946303194, 'portfolio_id': 1162416}, {'photo_id': 946292480, 'portfolio_id': 1162416}, {'photo_id': 946271387, 'portfolio_id': 1162416}, {'photo_id': 946261683, 'portfolio_id': 1162416}, {'photo_id': 946224205, 'portfolio_id': 1162416}, {'photo_id': 946205223, 'portfolio_id': 1162416}, {'photo_id': 946202180, 'portfolio_id': 1162416}, {'photo_id': 946179949, 'portfolio_id': 1162416}, {'photo_id': 946179401, 'portfolio_id': 1162416}, {'photo_id': 946171142, 'portfolio_id': 1162416}, {'photo_id': 946151090, 'portfolio_id': 1162416}, {'photo_id': 946137099, 'portfolio_id': 1162416}, {'photo_id': 946121367, 'portfolio_id': 1162416}, {'photo_id': 946117923, 'portfolio_id': 1162416}, {'photo_id': 946084305, 'portfolio_id': 1162416}, {'photo_id': 946064005, 'portfolio_id': 1162416}, {'photo_id': 946063873, 'portfolio_id': 1162416}, {'photo_id': 946047653, 'portfolio_id': 1162416}, {'photo_id': 946041177, 'portfolio_id': 1162416}, {'photo_id': 946005848, 'portfolio_id': 1162416}, {'photo_id': 945991006, 'portfolio_id': 1162416}, {'photo_id': 945988446, 'portfolio_id': 1162416}, {'photo_id': 945978492, 'portfolio_id': 1162416}, {'photo_id': 945929143, 'portfolio_id': 1162416}, {'photo_id': 945913126, 'portfolio_id': 1162416}, {'photo_id': 945902755, 'portfolio_id': 1162416}, {'photo_id': 945865172, 'portfolio_id': 1162416}, {'photo_id': 945847594, 'portfolio_id': 1162416}, {'photo_id': 945820988, 'portfolio_id': 1162416}, {'photo_id': 945808991, 'portfolio_id': 1162416}, {'photo_id': 945804788, 'portfolio_id': 1162416}, {'photo_id': 945786172, 'portfolio_id': 1162416}, {'photo_id': 945772118, 'portfolio_id': 1162416}, {'photo_id': 945737783, 'portfolio_id': 1162416}, {'photo_id': 945708251, 'portfolio_id': 1162416}, {'photo_id': 945603688, 'portfolio_id': 1162416}, {'photo_id': 945584945, 'portfolio_id': 1162416}, {'photo_id': 945564403, 'portfolio_id': 1162416}, {'photo_id': 945554348, 'portfolio_id': 1162416}, {'photo_id': 945552710, 'portfolio_id': 1162416}, {'photo_id': 945463329, 'portfolio_id': 1162416}, {'photo_id': 945460339, 'portfolio_id': 1162416}, {'photo_id': 945436913, 'portfolio_id': 1162416}, {'photo_id': 945420368, 'portfolio_id': 1162416}, {'photo_id': 945415177, 'portfolio_id': 1162416}, {'photo_id': 945376098, 'portfolio_id': 1162416}, {'photo_id': 945354589, 'portfolio_id': 1162416}, {'photo_id': 945300895, 'portfolio_id': 1162416}, {'photo_id': 945294858, 'portfolio_id': 1162416}, {'photo_id': 945293053, 'portfolio_id': 1162416}, {'photo_id': 945291369, 'portfolio_id': 1162416}, {'photo_id': 945254633, 'portfolio_id': 1162416}, {'photo_id': 945091973, 'portfolio_id': 1162416}, {'photo_id': 945073877, 'portfolio_id': 1162416}, {'photo_id': 945001039, 'portfolio_id': 1162416}, {'photo_id': 944942990, 'portfolio_id': 1162416}, {'photo_id': 944862533, 'portfolio_id': 1162416}, {'photo_id': 944857075, 'portfolio_id': 1162416}, {'photo_id': 944829478, 'portfolio_id': 1162416}, {'photo_id': 944824017, 'portfolio_id': 1162416}, {'photo_id': 944803588, 'portfolio_id': 1162416}, {'photo_id': 944803368, 'portfolio_id': 1162416}, {'photo_id': 944794005, 'portfolio_id': 1162416}, {'photo_id': 944764793, 'portfolio_id': 1162416}, {'photo_id': 944756087, 'portfolio_id': 1162416}, {'photo_id': 944711406, 'portfolio_id': 1162416}, {'photo_id': 944686636, 'portfolio_id': 1162416}, {'photo_id': 944636249, 'portfolio_id': 1162416}, {'photo_id': 944623375, 'portfolio_id': 1162416}, {'photo_id': 944615894, 'portfolio_id': 1162416}, {'photo_id': 944585666, 'portfolio_id': 1162416}, {'photo_id': 944580397, 'portfolio_id': 1162416}, {'photo_id': 944536912, 'portfolio_id': 1162416}, {'photo_id': 944535462, 'portfolio_id': 1162416}, {'photo_id': 944525224, 'portfolio_id': 1162416}, {'photo_id': 944517156, 'portfolio_id': 1162416}, {'photo_id': 941317713, 'portfolio_id': 1162416}, {'photo_id': 941308810, 'portfolio_id': 1162416}, {'photo_id': 941302268, 'portfolio_id': 1162416}, {'photo_id': 941300768, 'portfolio_id': 1162416}, {'photo_id': 941300323, 'portfolio_id': 1162416}, {'photo_id': 941293390, 'portfolio_id': 1162416}, {'photo_id': 941292137, 'portfolio_id': 1162416}, {'photo_id': 941136019, 'portfolio_id': 1162416}, {'photo_id': 941125304, 'portfolio_id': 1162416}, {'photo_id': 941091474, 'portfolio_id': 1162416}, {'photo_id': 941020291, 'portfolio_id': 1162416}, {'photo_id': 940986395, 'portfolio_id': 1162416}, {'photo_id': 940978924, 'portfolio_id': 1162416}, {'photo_id': 940868650, 'portfolio_id': 1162416}, {'photo_id': 940850734, 'portfolio_id': 1162416}, {'photo_id': 940811912, 'portfolio_id': 1162416}, {'photo_id': 940808900, 'portfolio_id': 1162416}, {'photo_id': 940792162, 'portfolio_id': 1162416}, {'photo_id': 940765928, 'portfolio_id': 1162416}, {'photo_id': 940722192, 'portfolio_id': 1162416}, {'photo_id': 940704390, 'portfolio_id': 1162416}, {'photo_id': 940594612, 'portfolio_id': 1162416}, {'photo_id': 940438971, 'portfolio_id': 1162416}, {'photo_id': 940427986, 'portfolio_id': 1162416}, {'photo_id': 939848288, 'portfolio_id': 1162416}, {'photo_id': 939519185, 'portfolio_id': 1162416}, {'photo_id': 939357561, 'portfolio_id': 1162416}, {'photo_id': 939291834, 'portfolio_id': 1162416}, {'photo_id': 939284857, 'portfolio_id': 1162416}, {'photo_id': 939272028, 'portfolio_id': 1162416}, {'photo_id': 939180013, 'portfolio_id': 1162416}, {'photo_id': 939030086, 'portfolio_id': 1162416}, {'photo_id': 939026799, 'portfolio_id': 1162416}, {'photo_id': 939012622, 'portfolio_id': 1162416}, {'photo_id': 938992400, 'portfolio_id': 1162416}, {'photo_id': 938980801, 'portfolio_id': 1162416}, {'photo_id': 938850547, 'portfolio_id': 1162416}, {'photo_id': 938831138, 'portfolio_id': 1162416}, {'photo_id': 938758198, 'portfolio_id': 1162416}, {'photo_id': 938713762, 'portfolio_id': 1162416}, {'photo_id': 938649763, 'portfolio_id': 1162416}, {'photo_id': 938610200, 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'portfolio_id': 1162416}, {'photo_id': 929763532, 'portfolio_id': 1162416}, {'photo_id': 929745750, 'portfolio_id': 1162416}, {'photo_id': 929729136, 'portfolio_id': 1162416}, {'photo_id': 929710389, 'portfolio_id': 1162416}, {'photo_id': 929698707, 'portfolio_id': 1162416}, {'photo_id': 929693999, 'portfolio_id': 1162416}, {'photo_id': 929650200, 'portfolio_id': 1162416}, {'photo_id': 929621894, 'portfolio_id': 1162416}, {'photo_id': 929547491, 'portfolio_id': 1162416}, {'photo_id': 929542401, 'portfolio_id': 1162416}, {'photo_id': 929537894, 'portfolio_id': 1162416}, {'photo_id': 929528050, 'portfolio_id': 1162416}, {'photo_id': 929525456, 'portfolio_id': 1162416}, {'photo_id': 929515829, 'portfolio_id': 1162416}]
 map_portfolio_id_photo_id: {1162416: [947118557, 947117332, 947116978, 947094003, 947074070, 947073868, 947073564, 947072790, 947064745, 947063327, 947063078, 947038224, 947037232, 947005262, 946989144, 946963782, 946937784, 946937387, 946921140, 946892570, 946871837, 946846441, 946833000, 946798783, 946781036, 946759661, 946624058, 946586956, 946572679, 946545288, 946540235, 946528705, 946522227, 946467551, 946447431, 946424646, 946395673, 946378913, 946352329, 946349460, 946325476, 946311655, 946303194, 946292480, 946271387, 946261683, 946224205, 946205223, 946202180, 946179949, 946179401, 946171142, 946151090, 946137099, 946121367, 946117923, 946084305, 946064005, 946063873, 946047653, 946041177, 946005848, 945991006, 945988446, 945978492, 945929143, 945913126, 945902755, 945865172, 945847594, 945820988, 945808991, 945804788, 945786172, 945772118, 945737783, 945708251, 945603688, 945584945, 945564403, 945554348, 945552710, 945463329, 945460339, 945436913, 945420368, 945415177, 945376098, 945354589, 945300895, 945294858, 945293053, 945291369, 945254633, 945091973, 945073877, 945001039, 944942990, 944862533, 944857075, 944829478, 944824017, 944803588, 944803368, 944794005, 944764793, 944756087, 944711406, 944686636, 944636249, 944623375, 944615894, 944585666, 944580397, 944536912, 944535462, 944525224, 944517156, 941317713, 941308810, 941302268, 941300768, 941300323, 941293390, 941292137, 941136019, 941125304, 941091474, 941020291, 940986395, 940978924, 940868650, 940850734, 940811912, 940808900, 940792162, 940765928, 940722192, 940704390, 940594612, 940438971, 940427986, 939848288, 939519185, 939357561, 939291834, 939284857, 939272028, 939180013, 939030086, 939026799, 939012622, 938992400, 938980801, 938850547, 938831138, 938758198, 938713762, 938649763, 938610200, 938458941, 938380185, 938350001, 938251522, 938166326, 938090140, 937766309, 937754100, 937748876, 937736267, 937671865, 937669453, 937648117, 937600045, 937578802, 937540518, 937486610, 937379363, 937355677, 937328715, 937311328, 937257995, 937224321, 937203361, 937156356, 937150674, 937142382, 937105034, 937101584, 937094928, 937088345, 937086761, 937075829, 937073328, 937066818, 937030339, 937004163, 936995510, 936969251, 936949793, 936893289, 936864307, 936857788, 936845391, 936839912, 936813401, 936800109, 936799499, 936796565, 936756197, 936713410, 936688647, 936673851, 936671139, 936660246, 936658203, 936647080, 936638493, 936625749, 936589574, 936573631, 936558714, 936558655, 936556013, 936554949, 936511308, 936508915, 936498864, 936489917, 936479480, 936423718, 936411992, 936407947, 936388160, 936366406, 936352744, 936331327, 936284870, 936259855, 936251065, 936242721, 936233702, 936192167, 936172667, 936132419, 936131711, 936118198, 936111324, 936096984, 936071533, 936051793, 936039368, 936027444, 936026429, 936023339, 936013781, 935974387, 935968604, 935927402, 935906662, 935880577, 935879181, 935867655, 935839613, 935838653, 935811770, 935798228, 935797142, 935782080, 935754507, 935746638, 935743753, 935727808, 935702888, 935682826, 935673256, 935665960, 935657965, 935632156, 935608640, 935606121, 935587873, 935581495, 935570289, 935542804, 935540246, 935527922, 935522299, 935504545, 935487449, 935486893, 935476932, 935462445, 935455206, 935434251, 935414326, 935401028, 935365627, 935339027, 935314273, 935312530, 935311160, 935310104, 935282714, 935268002, 935257365, 935220911, 935191890, 935163661, 935160386, 935020176, 935017927, 935008281, 935001343, 934995773, 934993225, 934925577, 934901098, 934899941, 934872361, 934867355, 934859534, 934742969, 934742764, 934713891, 934631028, 934628810, 934624902, 934624595, 934584345, 934565114, 934521998, 934517486, 934511694, 934465816, 934375607, 934361867, 934314535, 934302789, 934232847, 934216785, 934179595, 934165728, 934084733, 934053442, 933989628, 933954815, 933935574, 933927986, 933913583, 933880701, 933866195, 933844984, 933841899, 933816667, 933812049, 933787722, 933781367, 933778854, 933773078, 933742123, 933731195, 933729529, 933706317, 933690173, 933654913, 933653362, 933640270, 933606050, 933597585, 933575796, 933574212, 933565535, 933562125, 933551473, 933548803, 933526432, 933511800, 933510842, 933488630, 933474800, 933470378, 933469148, 933465631, 933465170, 933464015, 933458272, 933447542, 933442036, 933434339, 933433865, 933427621, 933404791, 933398828, 933392302, 933366682, 933340888, 933293424, 933292040, 933289639, 933287052, 933285616, 933262289, 933227061, 933222238, 933218878, 933209540, 933209509, 933188916, 933188860, 933182557, 933171079, 933170112, 933165203, 933159590, 933148597, 933147152, 933137346, 933134008, 933118814, 933107878, 933106317, 933095005, 933084920, 933064294, 933056512, 933028399, 933018218, 933017684, 933015896, 933012980, 933007049, 932985952, 932948430, 932945415, 932940145, 932934917, 932926613, 932856554, 932850708, 932835046, 932825525, 932791970, 932775841, 932775532, 932753089, 932734982, 932732140, 932715670, 932702144, 932689249, 932687750, 932663958, 932641430, 932637273, 932626128, 932622490, 932614672, 932611887, 932594022, 932592002, 932587952, 932584560, 932529942, 932510942, 932503866, 932493742, 932492771, 932492210, 932481861, 932481163, 932445203, 932443152, 932442403, 932428564, 932426126, 932417693, 932345373, 932294464, 932283147, 932260018, 932256214, 932254354, 932244469, 932240365, 932240186, 932235720, 932217847, 932161257, 932158710, 932148033, 932143168, 932143023, 932133972, 932133490, 932104358, 932103673, 932100179, 932095582, 932083835, 930980012, 930780618, 930713751, 930694004, 930693115, 930691654, 930690959, 930681528, 930667883, 930667320, 930665602, 930655794, 930651385, 930568395, 930525518, 930507723, 930477858, 930473393, 930449642, 930444050, 930435847, 930424602, 930420339, 930413269, 930374680, 930368567, 930351271, 930350299, 930344413, 930315869, 930274683, 930266874, 930254492, 930250413, 930241692, 930238033, 930234225, 930226690, 930169133, 930151813, 930121174, 930036928, 930004214, 929997042, 929995451, 929952896, 929938277, 929917391, 929867509, 929852170, 929841716, 929821336, 929819490, 929809329, 929807315, 929806174, 929802254, 929791288, 929786343, 929776980, 929763532, 929745750, 929729136, 929710389, 929698707, 929693999, 929650200, 929621894, 929547491, 929542401, 929537894, 929528050, 929525456, 929515829]}
we need 574 photos
there is already 574 photos exist in our local_cache
we have to download 0 photos
we have successful downloaded 0 photos
there are 0 photos missing
finally, we can get 574 photo needed from our local_cache
list of photo_id_missing : 
[]

test download a list if photos : 10 photos (6 exist in ovh and 4 missing in ovh)

        SELECT photo_id, url_medium
        FROM MTRBack.photos ph
        WHERE photo_id IN (1109585436,1109585120,1109585121,1109585109,944829478,944824017,944803588,944803368,944794005,944764793) 
 Found this number of photos: 10
we need 10 photos
there is already 6 photos exist in our local_cache
we have to download 4 photos
download_photo : 1 to 2000
begin to download photo : 1109585109
begin to download photo : 1109585120
begin to download photo : 1109585121
begin to download photo : 1109585436
HTTP Error 404: Not Found
can't download the photo : 1109585121
download finish for photo 1109585121
HTTP Error 404: Not Found
can't download the photo : 1109585109
download finish for photo 1109585109
HTTP Error 404: Not Found
can't download the photo : 1109585120
download finish for photo 1109585120
HTTP Error 404: Not Found
can't download the photo : 1109585436
download finish for photo 1109585436
we have successful downloaded 0 photos
there are 4 photos missing
finally, we can get 6 photo needed from our local_cache
list of photo_id_missing : 
[1109585121, 1109585109, 1109585120, 1109585436]

############################### test_update_time_created ################################

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (936407947) 
 Found this number of photos: 1
we need 1 photos
there is already 1 photos exist in our local_cache
we have to download 0 photos
we have successful downloaded 0 photos
there are 0 photos missing
finally, we can get 1 photo needed from our local_cache
list of photo_id_missing : 
[]

#&_#_#&_# TEST cache photo data SUCCEEDED #&_#_#&_#


#&_# TEST SUCCEEDED #&_# : tests/cache_photo_data_test #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"CachePhotoData_queries": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','CachePhotoData_queries','unknown');

#&_# END OF TEST #&_# : tests/cache_photo_data_test #&_# 





#&_# BEGIN OF TEST : mtr/mask_rcnn/prepare_maskdata #&_# 


/home/admin/workarea/git/Velours/python/mtr/mask_rcnn/prepare_maskdata.py
<module 'mtr.mask_rcnn.prepare_maskdata' from '/home/admin/workarea/git/Velours/python/mtr/mask_rcnn/prepare_maskdata.py'>
test prepare mask data
 c : Plaque-immatriculation
2096875719
 c : capot
599722655

            SELECT photo_id
            FROM MTRPhoto.crop_hashtag_ids
            WHERE  type= 840 and photo_id in (SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos 
        where mtr_portfolio_id = 2069971 and hide_status = 0)  group by photo_id
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 907850592) and `type` in (840) 
Loaded 20 chid ids of type : 840
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (33750301,33750302,33750303,33750304,33750305,33750306,33750307,33750308,33750309,33750310,33750311,33750312,33750313,33750314,33750315,33750316,33750317,33750318,33750319,33750320)
++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (33750301,33750302,33750303,33750304,33750305,33750306,33750307,33750308,33750309,33750310,33750311,33750312,33750313,33750314,33750315,33750316,33750317,33750318,33750319,33750320)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (33750301,33750302,33750303,33750304,33750305,33750306,33750307,33750308,33750309,33750310,33750311,33750312,33750313,33750314,33750315,33750316,33750317,33750318,33750319,33750320)
{907850592: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6f371970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092d30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092e80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092bb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092f10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092b50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c4f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c6a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cb80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c370>]}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 907857924) and `type` in (840) 
Loaded 16 chid ids of type : 840
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (33749327,33749328,33749329,33749330,33749331,33749332,33749333,33749334,33749335,33749336,33749337,33749338,33749339,33749340,33749341,33749342)
+++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (33749327,33749328,33749329,33749330,33749331,33749332,33749333,33749334,33749335,33749336,33749337,33749338,33749339,33749340,33749341,33749342)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (33749327,33749328,33749329,33749330,33749331,33749332,33749333,33749334,33749335,33749336,33749337,33749338,33749339,33749340,33749341,33749342)
{907857924: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c4c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c580>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ce50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ce20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cb20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ccd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cc70>]}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 907862724) and `type` in (840) 
Loaded 20 chid ids of type : 840
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (33750565,33750566,33750567,33750568,33750569,33750570,33750571,33750572,33750573,33750574,33750575,33750576,33750577,33750578,33750579,33750580,33750581,33750582,33750583,33750584)
++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (33750565,33750566,33750567,33750568,33750569,33750570,33750571,33750572,33750573,33750574,33750575,33750576,33750577,33750578,33750579,33750580,33750581,33750582,33750583,33750584)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (33750565,33750566,33750567,33750568,33750569,33750570,33750571,33750572,33750573,33750574,33750575,33750576,33750577,33750578,33750579,33750580,33750581,33750582,33750583,33750584)
{907862724: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008caf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cfd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c0d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c0a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cd00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cf70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cf40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ce80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cc40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c2b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c3a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cb50>]}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 907863602) and `type` in (840) 
Loaded 19 chid ids of type : 840
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (33747793,33747794,33747795,33747796,33747797,33747798,33747799,33747800,33747801,33747802,33747803,33747804,33747805,33747806,33747807,33747808,33747809,33747810,33747811)
++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (33747793,33747794,33747795,33747796,33747797,33747798,33747799,33747800,33747801,33747802,33747803,33747804,33747805,33747806,33747807,33747808,33747809,33747810,33747811)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (33747793,33747794,33747795,33747796,33747797,33747798,33747799,33747800,33747801,33747802,33747803,33747804,33747805,33747806,33747807,33747808,33747809,33747810,33747811)
{907863602: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cc70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c4c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c580>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ce50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ce20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cb20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ccd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c6d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c760>]}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 907863940) and `type` in (840) 
Loaded 20 chid ids of type : 840
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (33747538,33747539,33747540,33747541,33747542,33747543,33747544,33747545,33747546,33747547,33747548,33747549,33747550,33747551,33747552,33747553,33747554,33747555,33747556,33747557)
++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (33747538,33747539,33747540,33747541,33747542,33747543,33747544,33747545,33747546,33747547,33747548,33747549,33747550,33747551,33747552,33747553,33747554,33747555,33747556,33747557)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (33747538,33747539,33747540,33747541,33747542,33747543,33747544,33747545,33747546,33747547,33747548,33747549,33747550,33747551,33747552,33747553,33747554,33747555,33747556,33747557)
{907863940: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ca30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cbb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cd60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cbe0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c9a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cee0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c1f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cf10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cc10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c9d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c5b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ceb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cd30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ca00>]}
{2096875719: 'Plaque-immatriculation', 599722655: 'capot'}
{907850592: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6f371970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092d30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092e80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092bb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092f10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092b50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c4f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c6a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cb80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c370>], 907862724: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008caf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cfd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c0d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c0a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cd00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cf70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cf40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ce80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cc40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c2b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c3a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cb50>], 907863602: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cc70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c4c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c580>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ce50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ce20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cb20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ccd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c6d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c760>], 907863940: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ca30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cbb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cd60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cbe0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c9a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cee0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c1f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cf10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cc10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c9d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c5b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ceb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cd30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ca00>]}
dict_keys([907850592, 907862724, 907863602, 907863940])

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (907850592,907862724,907863602,907863940) 
 Found this number of photos: 4
[{'photo_id': 907850592, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2017/6/16/ed4966e7174a77396ac8fcda79dbb623-big.jpg'}, {'photo_id': 907862724, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2017/6/16/832cac3a051929b54bf6624844e6ae19-big.jpg'}, {'photo_id': 907863602, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2017/6/16/9bdc888dccb678f78cae7bd094089fa8-big.jpg'}, {'photo_id': 907863940, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2017/6/16/eab8c1f33202454ec634f443beea6485-big.jpg'}]
{907850592: '/data/data_root/test_preparedata/train/907850592.jpg', 907862724: '/data/data_root/test_preparedata/train/907862724.jpg', 907863602: '/data/data_root/test_preparedata/train/907863602.jpg', 907863940: '/data/data_root/test_preparedata/val/907863940.jpg'}
logo-marque
2096875717
907850592
 x0 : 38 y1 : 269 width : 32, height : 38, area : 1216, score : 1.0
None
pare-choc
624624117
907850592
 x0 : 0 y1 : 559 width : 362, height : 235, area : 85070, score : 1.0
None
coffre
495920967
907850592
 x0 : 0 y1 : 398 width : 302, height : 336, area : 101472, score : 1.0
None
coffre
495920967
907850592
 x0 : 626 y1 : 206 width : 18, height : 35, area : 630, score : 1.0
None
aile-arriere
2106233861
907850592
 x0 : 189 y1 : 476 width : 282, height : 235, area : 66270, score : 1.0
None
roue
492689227
907850592
 x0 : 275 y1 : 620 width : 170, height : 215, area : 36550, score : 1.0
None
Plaque-immatriculation
2096875719
907850592
 x0 : 10 y1 : 454 width : 108, height : 84, area : 9072, score : 1.0
None
feu-arriere
2096875713
907850592
 x0 : 192 y1 : 359 width : 147, height : 96, area : 14112, score : 1.0
None
poignee
499500794
907850592
 x0 : 437 y1 : 315 width : 42, height : 37, area : 1554, score : 1.0
None
poignee
499500794
907850592
 x0 : 567 y1 : 282 width : 25, height : 31, area : 775, score : 1.0
None
Pot-echappement
2096875720
907850592
 x0 : 155 y1 : 532 width : 21, height : 20, area : 420, score : 1.0
None
toit
492731002
907850592
 x0 : 136 y1 : 74 width : 281, height : 21, area : 5901, score : 1.0
None
Pare-brise
2096875709
907850592
 x0 : 1 y1 : 241 width : 285, height : 165, area : 47025, score : 1.0
None
porte
492654799
907850592
 x0 : 354 y1 : 442 width : 210, height : 380, area : 79800, score : 1.0
None
porte
492654799
907850592
 x0 : 501 y1 : 389 width : 135, height : 324, area : 43740, score : 1.0
None
Info-modele
2096875721
907850592
 x0 : 132 y1 : 295 width : 53, height : 31, area : 1643, score : 1.0
None
vitre
492925064
907850592
 x0 : 407 y1 : 201 width : 123, height : 122, area : 15006, score : 1.0
None
vitre
492925064
907850592
 x0 : 377 y1 : 201 width : 64, height : 118, area : 7552, score : 1.0
None
vitre
492925064
907850592
 x0 : 522 y1 : 203 width : 102, height : 120, area : 12240, score : 1.0
None
Essuie-glace
2096875722
907850592
 x0 : 7 y1 : 250 width : 72, height : 61, area : 4392, score : 1.0
None
/data/data_root/test_preparedata/train/907850592.jpg
logo-marque
2096875717
907862724
 x0 : 100 y1 : 282 width : 35, height : 41, area : 1435, score : 1.0
None
pare-choc
624624117
907862724
 x0 : 1 y1 : 483 width : 435, height : 194, area : 84390, score : 1.0
None
aile-arriere
2106233861
907862724
 x0 : 399 y1 : 411 width : 110, height : 128, area : 14080, score : 1.0
None
retroviseur
492844413
907862724
 x0 : 600 y1 : 203 width : 41, height : 37, area : 1517, score : 1.0
None
coffre
495920967
907862724
 x0 : 5 y1 : 351 width : 369, height : 270, area : 99630, score : 1.0
None
Cache-reservoir
2096875718
907862724
 x0 : 417 y1 : 289 width : 50, height : 61, area : 3050, score : 1.0
None
roue
492689227
907862724
 x0 : 367 y1 : 541 width : 121, height : 190, area : 22990, score : 1.0
None
poignee
499500794
907862724
 x0 : 478 y1 : 275 width : 33, height : 25, area : 825, score : 1.0
None
toit
492731002
907862724
 x0 : 226 y1 : 110 width : 223, height : 36, area : 8028, score : 1.0
None
feu-arriere
2096875713
907862724
 x0 : 294 y1 : 331 width : 112, height : 146, area : 16352, score : 1.0
None
poignee
499500794
907862724
 x0 : 566 y1 : 252 width : 20, height : 27, area : 540, score : 1.0
None
Plaque-immatriculation
2096875719
907862724
 x0 : 55 y1 : 436 width : 142, height : 54, area : 7668, score : 1.0
None
Pare-brise
2096875709
907862724
 x0 : 6 y1 : 225 width : 366, height : 132, area : 48312, score : 1.0
None
porte
492654799
907862724
 x0 : 395 y1 : 391 width : 170, height : 311, area : 52870, score : 1.0
None
porte
492654799
907862724
 x0 : 508 y1 : 354 width : 101, height : 269, area : 27169, score : 1.0
None
vitre
492925064
907862724
 x0 : 451 y1 : 202 width : 85, height : 99, area : 8415, score : 1.0
None
vitre
492925064
907862724
 x0 : 524 y1 : 202 width : 70, height : 99, area : 6930, score : 1.0
None
vitre
492925064
907862724
 x0 : 428 y1 : 208 width : 50, height : 102, area : 5100, score : 1.0
None
Essuie-glace
2096875722
907862724
 x0 : 114 y1 : 218 width : 186, height : 27, area : 5022, score : 1.0
None
Info-modele
2096875721
907862724
 x0 : 10 y1 : 306 width : 41, height : 33, area : 1353, score : 1.0
None
/data/data_root/test_preparedata/train/907862724.jpg
porte
492654799
907863602
 x0 : 129 y1 : 380 width : 300, height : 279, area : 83700, score : 1.0
None
porte
492654799
907863602
 x0 : 193 y1 : 345 width : 228, height : 215, area : 49020, score : 1.0
None
porte
492654799
907863602
 x0 : 379 y1 : 385 width : 257, height : 286, area : 73502, score : 1.0
None
porte
492654799
907863602
 x0 : 400 y1 : 365 width : 195, height : 248, area : 48360, score : 1.0
None
roue
492689227
907863602
 x0 : 0 y1 : 419 width : 124, height : 148, area : 18352, score : 1.0
None
roue
492689227
907863602
 x0 : 0 y1 : 411 width : 127, height : 129, area : 16383, score : 1.0
None
roue
492689227
907863602
 x0 : 580 y1 : 449 width : 60, height : 129, area : 7740, score : 1.0
None
roue
492689227
907863602
 x0 : 584 y1 : 444 width : 50, height : 126, area : 6300, score : 1.0
None
retroviseur
492844413
907863602
 x0 : 165 y1 : 225 width : 53, height : 51, area : 2703, score : 1.0
None
vitre
492925064
907863602
 x0 : 211 y1 : 218 width : 197, height : 109, area : 21473, score : 1.0
None
vitre
492925064
907863602
 x0 : 217 y1 : 214 width : 193, height : 99, area : 19107, score : 1.0
None
vitre
492925064
907863602
 x0 : 409 y1 : 214 width : 188, height : 98, area : 18424, score : 1.0
None
vitre
492925064
907863602
 x0 : 414 y1 : 206 width : 187, height : 96, area : 17952, score : 1.0
None
poignee
499500794
907863602
 x0 : 320 y1 : 271 width : 46, height : 19, area : 874, score : 1.0
None
poignee
499500794
907863602
 x0 : 321 y1 : 270 width : 44, height : 19, area : 836, score : 1.0
None
poignee
499500794
907863602
 x0 : 553 y1 : 270 width : 62, height : 25, area : 1550, score : 1.0
None
poignee
499500794
907863602
 x0 : 565 y1 : 266 width : 42, height : 16, area : 672, score : 1.0
None
capot
599722655
907863602
 x0 : -1 y1 : 215 width : 135, height : 37, area : 4995, score : 1.0
None
capot
599722655
907863602
 x0 : 242 y1 : 123 width : 330, height : 52, area : 17160, score : 1.0
None
/data/data_root/test_preparedata/train/907863602.jpg
porte
492654799
907863940
 x0 : 109 y1 : 426 width : 283, height : 265, area : 74995, score : 1.0
None
porte
492654799
907863940
 x0 : 179 y1 : 399 width : 203, height : 221, area : 44863, score : 1.0
None
porte
492654799
907863940
 x0 : 354 y1 : 425 width : 277, height : 266, area : 73682, score : 1.0
None
porte
492654799
907863940
 x0 : 370 y1 : 407 width : 179, height : 233, area : 41707, score : 1.0
None
roue
492689227
907863940
 x0 : -1 y1 : 463 width : 98, height : 141, area : 13818, score : 1.0
None
roue
492689227
907863940
 x0 : 0 y1 : 468 width : 88, height : 147, area : 12936, score : 1.0
None
roue
492689227
907863940
 x0 : 523 y1 : 493 width : 117, height : 146, area : 17082, score : 1.0
None
roue
492689227
907863940
 x0 : 525 y1 : 493 width : 111, height : 147, area : 16317, score : 1.0
None
retroviseur
492844413
907863940
 x0 : 138 y1 : 278 width : 46, height : 44, area : 2024, score : 1.0
None
vitre
492925064
907863940
 x0 : 182 y1 : 266 width : 200, height : 95, area : 19000, score : 1.0
None
vitre
492925064
907863940
 x0 : 385 y1 : 257 width : 172, height : 90, area : 15480, score : 1.0
None
vitre
492925064
907863940
 x0 : 394 y1 : 256 width : 144, height : 86, area : 12384, score : 1.0
None
vitre
492925064
907863940
 x0 : 549 y1 : 253 width : 58, height : 53, area : 3074, score : 1.0
None
poignee
499500794
907863940
 x0 : 300 y1 : 306 width : 59, height : 17, area : 1003, score : 1.0
None
poignee
499500794
907863940
 x0 : 307 y1 : 313 width : 51, height : 24, area : 1224, score : 1.0
None
poignee
499500794
907863940
 x0 : 527 y1 : 308 width : 53, height : 22, area : 1166, score : 1.0
None
poignee
499500794
907863940
 x0 : 536 y1 : 310 width : 45, height : 24, area : 1080, score : 1.0
None
capot
599722655
907863940
 x0 : 219 y1 : 181 width : 370, height : 38, area : 14060, score : 1.0
None
logo-roue
2106233859
907863940
 x0 : 7 y1 : 419 width : 27, height : 43, area : 1161, score : 1.0
None
logo-roue
2106233859
907863940
 x0 : 594 y1 : 441 width : 26, height : 25, area : 650, score : 1.0
None
/data/data_root/test_preparedata/val/907863940.jpg

#&_#_#&_# TEST prepare mask data poly SUCCEEDED #&_#_#&_#
 c : pet_clair
2107755846

            SELECT photo_id
            FROM MTRPhoto.crop_hashtag_ids
            WHERE  type= 2622 and photo_id in (SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos 
        where mtr_portfolio_id = 2880504 and hide_status = 0)  group by photo_id
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 964453879) and `type` in (2622) 
Loaded 15 chid ids of type : 2622
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1902110441,1902110442,1902110443,1902110444,1902110445,1902110446,1902110447,1902110448,1902110449,1902110450,1902110451,1902110452,1902110453,2808777934,2808777935)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1902110441,1902110442,1902110443,1902110444,1902110445,1902110446,1902110447,1902110448,1902110449,1902110450,1902110451,1902110452,1902110453,2808777934,2808777935)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1902110441,1902110442,1902110443,1902110444,1902110445,1902110446,1902110447,1902110448,1902110449,1902110450,1902110451,1902110452,1902110453,2808777934,2808777935)
{964453879: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092d30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092b50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092f10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092e80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092bb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066cd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ca30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cbb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ca00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cd60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cbe0>]}
{2107755846: 'pet_clair'}
{964453879: [<mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092d30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092b50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092f10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092e80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c8c092bb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2f6a066cd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ca30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cbb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008ca00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cd60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008c280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7f2c3008cbe0>]}
dict_keys([964453879])

        SELECT photo_id, url
        FROM MTRBack.photos ph
        WHERE photo_id IN (964453879) 
 Found this number of photos: 1
[{'photo_id': 964453879, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/1/6/3d07bc7d06c477acf98514ee747d5c5a.jpg'}]
{964453879: '/data/data_root/test_preparedata/val/964453879.jpg'}
environment
492622729
964453879
 x0 : 0 y1 : 479 width : 112, height : 415, area : 46480, score : 1.0
None
error
501120777
964453879
 x0 : 142 y1 : 479 width : 28, height : 20, area : 560, score : 1.0
None
error
501120777
964453879
 x0 : 151 y1 : 99 width : 23, height : 42, area : 966, score : 1.0
None
error
501120777
964453879
 x0 : 175 y1 : 59 width : 117, height : 59, area : 6903, score : 1.0
None
error
501120777
964453879
 x0 : 282 y1 : 479 width : 35, height : 62, area : 2170, score : 1.0
None
error
501120777
964453879
 x0 : 315 y1 : 460 width : 19, height : 26, area : 494, score : 1.0
None
error
501120777
964453879
 x0 : 353 y1 : 361 width : 32, height : 41, area : 1312, score : 1.0
None
error
501120777
964453879
 x0 : 403 y1 : 215 width : 47, height : 51, area : 2397, score : 1.0
None
error
501120777
964453879
 x0 : 497 y1 : 253 width : 89, height : 55, area : 4895, score : 1.0
None
error
501120777
964453879
 x0 : 546 y1 : 195 width : 58, height : 68, area : 3944, score : 1.0
None
error
501120777
964453879
 x0 : 613 y1 : 323 width : 20, height : 32, area : 640, score : 1.0
None
error
501120777
964453879
 x0 : 638 y1 : 225 width : 17, height : 27, area : 459, score : 1.0
None
pet_clair
2107755846
964453879
 x0 : 0 y1 : 479 width : 719, height : 479, area : 344401, score : 1.0
None
error
501120777
964453879
 x0 : 546 y1 : 195 width : 60, height : 68, area : 4080, score : 1.0
None
error
501120777
964453879
 x0 : 613 y1 : 323 width : 22, height : 32, area : 704, score : 1.0
None
/data/data_root/test_preparedata/val/964453879.jpg

#&_#_#&_# TEST prepare mask data rle SUCCEEDED #&_#_#&_#
time for calcul the mask position with numpy : 0.00017714500427246094
nb_pixel_total : 6
time to create 1 rle with old method : 3.600120544433594e-05
 Sanity check PASSED : sum_rle_size : 12 height * width : 12
7

#&_#_#&_# TEST prepare mask data mat SUCCEEDED #&_#_#&_#


#&_# TEST SUCCEEDED #&_# : mtr/mask_rcnn/prepare_maskdata #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"prepare mask data poly": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','prepare_maskdata','prepare mask data poly');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"prepare mask data rle": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','prepare_maskdata','prepare mask data rle');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"prepare mask data mat": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','prepare_maskdata','prepare mask data mat');

#&_# END OF TEST #&_# : mtr/mask_rcnn/prepare_maskdata #&_# 





#&_# BEGIN OF TEST : mtr/database_queries/portfolio_queries #&_# 


/home/admin/workarea/git/Velours/python/mtr/database_queries/portfolio_queries.py
<module 'mtr.database_queries.portfolio_queries' from '/home/admin/workarea/git/Velours/python/mtr/database_queries/portfolio_queries.py'>
test portfolio queries

            SELECT ph.photo_id,mpp.order
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=6391492  AND mpp.hide_status=0  ORDER BY mpp.order 
SELECT mtr_portfolio_id FROM MTRUser.mtr_portfolio_photos where mtr_photo_id=1095053596 AND `order`=14279380
Catched exception !
Connect or reconnect !

        SELECT mtr_portfolio_id FROM (select mtr_portfolio_id, count(*) as nb
        FROM MTRUser.mtr_portfolio_photos
        WHERE hide_status=0
        AND mtr_portfolio_id IN (5773607,6180280,6391492)
        GROUP BY mtr_portfolio_id
        ) as temp
        WHERE nb=8

            SELECT ph.photo_id,mpp.order
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=5773607  AND mpp.hide_status=0  ORDER BY mpp.order 

            SELECT ph.photo_id,mpp.order
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=6391492  AND mpp.hide_status=0  ORDER BY mpp.order 
SELECT mtr_portfolio_id FROM MTRUser.mtr_portfolio_photos where mtr_photo_id=1095053584

        SELECT mtr_portfolio_id FROM (select mtr_portfolio_id, count(*) as nb
        FROM MTRUser.mtr_portfolio_photos
        WHERE hide_status=0
        AND mtr_portfolio_id IN (5773607,6214363,6391492,12985573,12985574)
        GROUP BY mtr_portfolio_id
        ) as temp
        WHERE nb=8

            SELECT ph.photo_id,mpp.order
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=5773607  AND mpp.hide_status=0  ORDER BY mpp.order 

            SELECT ph.photo_id,mpp.order
            FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp
            WHERE ph.photo_id=mpp.mtr_photo_id
            AND mpp.mtr_portfolio_id=6391492  AND mpp.hide_status=0  ORDER BY mpp.order 


#&_# TEST SUCCEEDED #&_# : mtr/database_queries/portfolio_queries #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"portfolio_queries": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','portfolio_queries','unknown');

#&_# END OF TEST #&_# : mtr/database_queries/portfolio_queries #&_# 





#&_# BEGIN OF TEST : prod/memo/memo #&_# 


/home/admin/workarea/git/Velours/python/prod/memo/memo.py
<module 'prod.memo.memo' from '/home/admin/workarea/git/Velours/python/prod/memo/memo.py'>
SLA Mensuel
python version used : 3

############################### TEST memo  ################################
Removing /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3981
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3981
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3981
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_2";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3981
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3981
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3981
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
 nb_day : (0, 31)
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3981
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3981
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3981
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_2";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3981
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3981
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3981
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
place_id : 53
month : 08
mtr_id : 1038
dashboard_places : Romainville_Presse_2
date : 2022-08
year : 2022
raspi : 30002
select count(distinct mtr_photo_id) from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in (select id from MTRUser.mtr_portfolios where  id in (select mtr_portfolio_id from MTRPhoto.dashboard_results where dashboard_run_id in(select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id in (select id from MTRPhoto.dashboard_places where name = 'Romainville_Presse_2' and date like '%2022-08%') and created_at like '%2022-08%')));
 nb_day : (0, 31)
after unwanted_material_data
 nb_day : (0, 31)
SQL: SELECT ms.id, ms.name, mst.name as type, ms.test_group, ms.test_name, ms.server, ms.version_code, ms.result_str, ms.result_bool, ms.result_float, ms.lien, ms.created_at FROM MTRAdmin.monitor_sys ms
                 INNER JOIN MTRAdmin.monitor_sys_type mst on mst.id = ms.type 
                 WHERE ms.test_name like '%30002%' AND ms.result_str like '%2022/08%'ORDER BY ms.id desc LIMIT 0, 1000000;
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
Since we don't have condition on date we need to verify this lately !
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
Since we don't have condition on date we need to verify this lately !
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
Since we don't have condition on date we need to verify this lately !
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
Since we don't have condition on date we need to verify this lately !
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
No photos configured for 
Continue since we have an error ! 
{'date': '2022/08/06/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/05/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/04/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/03/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/02/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/01/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/06/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/05/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/04/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/03/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/02/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/01/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/06/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/05/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/04/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/03/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/02/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/01/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/06/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/05/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/04/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/03/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/02/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
{'date': '2022/08/01/', 'result': ', error missing sqlite.db'}
Continue since coverage is None
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_dark': 546, 'end_of_day_photos_duplicated': 1001, 'end_of_day_photos_ok_for_neural_classification': 28, 'end_of_day_photos_uploaded': 9982, 'ratio_coverage': 0.6455669412158944}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 9210}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1317}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 835}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4639058889927512}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 5139, 'max_time_between_images': '0 days 556 seconds', 'coverage_pause': '0 days 28323 seconds', 'coverage_times_pause': '0 days 32665 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.49953261962292106}, 'dashboard_dict': {'nb_ptf_finished': 9, 'nb_images_finished': 155, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 230, 'nb_selected_images': 385, 'last_update': '2022/08/27', 'portfolio_id': 6856460, 'last_run_id': 474892, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 10, 'nb_images_finished_for_older': 314, 'nb_ptf_started': 6, 'nb_images_started': 37, 'nb_selected_images': 351, 'last_update': '2022/08/27', 'portfolio_id': 6827218, 'last_run_id': 475039, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 277, 'nb_selected_images': 277, 'last_update': '2022/08/26', 'portfolio_id': 6783368, 'last_run_id': 472528, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/22', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 6178, 'max_time_between_images': '0 days 495 seconds', 'coverage_pause': '0 days 34258 seconds', 'coverage_times_pause': '0 days 38909 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.6042081870932468}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.4444875570997725}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.4150514118414787}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.4476093052787527}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/15', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/17', 'portfolio_id': 6658698, 'last_run_id': 461498, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/14', 'portfolio_id': 6643366, 'last_run_id': 458795, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 12, 'nb_images_finished': 375, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 375, 'last_update': '2022/08/17', 'portfolio_id': 6633495, 'last_run_id': 456239, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4592497222173231}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 54, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 12, 'nb_images_started': 417, 'nb_selected_images': 471, 'last_update': '2022/08/16', 'portfolio_id': 6631875, 'last_run_id': 454472, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 13, 'nb_images_finished': 438, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 438, 'last_update': '2022/08/16', 'portfolio_id': 6630410, 'last_run_id': 454459, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5112612215382988}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 15, 'nb_images_started': 448, 'nb_selected_images': 448, 'last_update': '2022/08/14', 'portfolio_id': 6629957, 'last_run_id': 454465, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5490, 'max_time_between_images': '0 days 555 seconds', 'coverage_pause': '0 days 30324 seconds', 'coverage_times_pause': '0 days 34888 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.5348242473412229}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 373, 'nb_selected_images': 584, 'last_update': '2022/08/15', 'portfolio_id': 6622675, 'last_run_id': 454450, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.5965184571156458}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/11', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6157780560503713}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6778458860349266}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 9210}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6778458860349266}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 9198}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.455452878757014}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1317}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6778458860349266}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 9198}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.455452878757014}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4632308005703809}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 835}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4871016129928332}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.5211392803570436}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 5139, 'max_time_between_images': '0 days 556 seconds', 'coverage_pause': '0 days 28323 seconds', 'coverage_times_pause': '0 days 32665 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.524509713142836}, 'dashboard_dict': {'nb_ptf_finished': 9, 'nb_images_finished': 155, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 230, 'nb_selected_images': 385, 'last_update': '2022/08/27', 'portfolio_id': 6856460, 'last_run_id': 474892, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.48604603788959055}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.4653604696383266}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 10, 'nb_images_finished_for_older': 314, 'nb_ptf_started': 6, 'nb_images_started': 37, 'nb_selected_images': 351, 'last_update': '2022/08/27', 'portfolio_id': 6827218, 'last_run_id': 475039, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.47606437156243636}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.4970277227356062}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.4633048760162225}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 277, 'nb_selected_images': 277, 'last_update': '2022/08/26', 'portfolio_id': 6783368, 'last_run_id': 472528, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5373432841348914}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4459897405507509}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.6107520509639067}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/22', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 6178, 'max_time_between_images': '0 days 495 seconds', 'coverage_pause': '0 days 34258 seconds', 'coverage_times_pause': '0 days 38909 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.6344191559102946}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.46671234652493565}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.43580436674753237}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.469990185003426}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/15', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.5109909442767459}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/17', 'portfolio_id': 6658698, 'last_run_id': 461498, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4820830015370655}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/14', 'portfolio_id': 6643366, 'last_run_id': 458795, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.4769717957739958}, 'dashboard_dict': {'nb_ptf_finished': 12, 'nb_images_finished': 375, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 375, 'last_update': '2022/08/17', 'portfolio_id': 6633495, 'last_run_id': 456239, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4822126335672883}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 54, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 12, 'nb_images_started': 417, 'nb_selected_images': 471, 'last_update': '2022/08/16', 'portfolio_id': 6631875, 'last_run_id': 454472, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.5002314857682549}, 'dashboard_dict': {'nb_ptf_finished': 13, 'nb_images_finished': 438, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 438, 'last_update': '2022/08/16', 'portfolio_id': 6630410, 'last_run_id': 454459, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5368247560140003}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 15, 'nb_images_started': 448, 'nb_selected_images': 448, 'last_update': '2022/08/14', 'portfolio_id': 6629957, 'last_run_id': 454465, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5490, 'max_time_between_images': '0 days 555 seconds', 'coverage_pause': '0 days 30324 seconds', 'coverage_times_pause': '0 days 34888 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.5615659549250912}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 373, 'nb_selected_images': 584, 'last_update': '2022/08/15', 'portfolio_id': 6622675, 'last_run_id': 454450, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.6263449323135614}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/11', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6465675290283154}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 9198}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 835}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 9, 'nb_images_finished': 155, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 230, 'nb_selected_images': 385, 'last_update': '2022/08/27', 'portfolio_id': 6856460, 'last_run_id': 474892, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 10, 'nb_images_finished_for_older': 314, 'nb_ptf_started': 6, 'nb_images_started': 37, 'nb_selected_images': 351, 'last_update': '2022/08/27', 'portfolio_id': 6827218, 'last_run_id': 475039, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 277, 'nb_selected_images': 277, 'last_update': '2022/08/26', 'portfolio_id': 6783368, 'last_run_id': 472528, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/22', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/15', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/17', 'portfolio_id': 6658698, 'last_run_id': 461498, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/14', 'portfolio_id': 6643366, 'last_run_id': 458795, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 12, 'nb_images_finished': 375, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 375, 'last_update': '2022/08/17', 'portfolio_id': 6633495, 'last_run_id': 456239, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 54, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 12, 'nb_images_started': 417, 'nb_selected_images': 471, 'last_update': '2022/08/16', 'portfolio_id': 6631875, 'last_run_id': 454472, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 13, 'nb_images_finished': 438, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 438, 'last_update': '2022/08/16', 'portfolio_id': 6630410, 'last_run_id': 454459, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 15, 'nb_images_started': 448, 'nb_selected_images': 448, 'last_update': '2022/08/14', 'portfolio_id': 6629957, 'last_run_id': 454465, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 373, 'nb_selected_images': 584, 'last_update': '2022/08/15', 'portfolio_id': 6622675, 'last_run_id': 454450, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/11', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 0, 'max_time_between_images': '0 days 0 seconds', 'coverage_pause': '0 days 0 seconds', 'coverage_times_pause': '0 days 0 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6455669412158944}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 8880}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 834}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6455669412158944}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 6813}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 834}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6455669412158944}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 5175}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 29, 'nb_images_finished': 362, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 362, 'last_update': '2022/09/02', 'portfolio_id': 6891498, 'last_run_id': 481665, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 834}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4639058889927512}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6455669412158944}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/02', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 3585}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 357, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 5, 'nb_selected_images': 362, 'last_update': '2022/09/01', 'portfolio_id': 6891498, 'last_run_id': 478934, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 834}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4639058889927512}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 11574, 'max_time_between_images': '0 days 465 seconds', 'coverage_pause': '0 days 36603 seconds', 'coverage_times_pause': '0 days 40776 seconds', 'nb_photos_decision': 11556, 'nb_gray_level_ok': 10948, 'nb_dedup_ok': 10555, 'nb_two_criteria_ok': 9947, 'nb_forced_upload': 0, 'ratio_coverage': 0.6455669412158944}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 168, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 172, 'nb_selected_images': 340, 'last_update': '2022/09/01', 'portfolio_id': 6907205, 'last_run_id': 479903, 'total_number_of_photos': 3353}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 357, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 5, 'nb_selected_images': 362, 'last_update': '2022/09/01', 'portfolio_id': 6891498, 'last_run_id': 478934, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 18, 'nb_images_finished': 233, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 233, 'last_update': '2022/08/31', 'portfolio_id': 6880717, 'last_run_id': 479832, 'total_number_of_photos': 834}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4639058889927512}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 5139, 'max_time_between_images': '0 days 556 seconds', 'coverage_pause': '0 days 28323 seconds', 'coverage_times_pause': '0 days 32665 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.49953261962292106}, 'dashboard_dict': {'nb_ptf_finished': 9, 'nb_images_finished': 155, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 230, 'nb_selected_images': 385, 'last_update': '2022/08/27', 'portfolio_id': 6856460, 'last_run_id': 474892, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 10, 'nb_images_finished_for_older': 314, 'nb_ptf_started': 6, 'nb_images_started': 37, 'nb_selected_images': 351, 'last_update': '2022/08/27', 'portfolio_id': 6827218, 'last_run_id': 475039, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 277, 'nb_selected_images': 277, 'last_update': '2022/08/26', 'portfolio_id': 6783368, 'last_run_id': 472528, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/22', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 6178, 'max_time_between_images': '0 days 495 seconds', 'coverage_pause': '0 days 34258 seconds', 'coverage_times_pause': '0 days 38909 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.6042081870932468}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.4444875570997725}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.4150514118414787}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.4476093052787527}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/15', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/17', 'portfolio_id': 6658698, 'last_run_id': 461498, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/14', 'portfolio_id': 6643366, 'last_run_id': 458795, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 12, 'nb_images_finished': 375, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 375, 'last_update': '2022/08/17', 'portfolio_id': 6633495, 'last_run_id': 456239, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4592497222173231}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 54, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 12, 'nb_images_started': 417, 'nb_selected_images': 471, 'last_update': '2022/08/16', 'portfolio_id': 6631875, 'last_run_id': 454472, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 13, 'nb_images_finished': 438, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 438, 'last_update': '2022/08/16', 'portfolio_id': 6630410, 'last_run_id': 454459, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5112612215382988}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 15, 'nb_images_started': 448, 'nb_selected_images': 448, 'last_update': '2022/08/14', 'portfolio_id': 6629957, 'last_run_id': 454465, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5490, 'max_time_between_images': '0 days 555 seconds', 'coverage_pause': '0 days 30324 seconds', 'coverage_times_pause': '0 days 34888 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.5348242473412229}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 373, 'nb_selected_images': 584, 'last_update': '2022/08/15', 'portfolio_id': 6622675, 'last_run_id': 454450, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.5965184571156458}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/11', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6157780560503713}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 4471, 'max_time_between_images': '0 days 525 seconds', 'coverage_pause': '0 days 24594 seconds', 'coverage_times_pause': '0 days 28481 seconds', 'nb_photos_decision': 4452, 'nb_gray_level_ok': 1314, 'nb_dedup_ok': 4449, 'nb_two_criteria_ok': 1311, 'nb_forced_upload': 0, 'ratio_coverage': 0.4337642639199986}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 357, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 5, 'nb_selected_images': 362, 'last_update': '2022/08/31', 'portfolio_id': 6891498, 'last_run_id': 478934, 'total_number_of_photos': 1311}}
No error ? {'log_dict': {'total_nb_images': 4544, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25014 seconds', 'coverage_times_pause': '0 days 28962 seconds', 'nb_photos_decision': 4543, 'nb_gray_level_ok': 849, 'nb_dedup_ok': 4538, 'nb_two_criteria_ok': 846, 'nb_forced_upload': 0, 'ratio_coverage': 0.4411718019718161}, 'dashboard_dict': {'nb_ptf_finished': 17, 'nb_images_finished': 225, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 8, 'nb_selected_images': 233, 'last_update': '2022/08/30', 'portfolio_id': 6880717, 'last_run_id': 477481, 'total_number_of_photos': 834}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4639058889927512}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 5139, 'max_time_between_images': '0 days 556 seconds', 'coverage_pause': '0 days 28323 seconds', 'coverage_times_pause': '0 days 32665 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.49953261962292106}, 'dashboard_dict': {'nb_ptf_finished': 9, 'nb_images_finished': 155, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 230, 'nb_selected_images': 385, 'last_update': '2022/08/27', 'portfolio_id': 6856460, 'last_run_id': 474892, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4766, 'max_time_between_images': '0 days 675 seconds', 'coverage_pause': '0 days 26303 seconds', 'coverage_times_pause': '0 days 30348 seconds', 'nb_photos_decision': 4755, 'nb_gray_level_ok': 2280, 'nb_dedup_ok': 4743, 'nb_two_criteria_ok': 2272, 'nb_forced_upload': 0, 'ratio_coverage': 0.4639058889927512}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/27', 'portfolio_id': 6871304, 'last_run_id': 475316, 'total_number_of_photos': 2278}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474538, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 5139, 'max_time_between_images': '0 days 556 seconds', 'coverage_pause': '0 days 28323 seconds', 'coverage_times_pause': '0 days 32665 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.49953261962292106}, 'dashboard_dict': {'nb_ptf_finished': 9, 'nb_images_finished': 155, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 230, 'nb_selected_images': 385, 'last_update': '2022/08/27', 'portfolio_id': 6856460, 'last_run_id': 474892, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 10, 'nb_images_finished_for_older': 314, 'nb_ptf_started': 6, 'nb_images_started': 37, 'nb_selected_images': 351, 'last_update': '2022/08/27', 'portfolio_id': 6827218, 'last_run_id': 475039, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474335, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 5139, 'max_time_between_images': '0 days 556 seconds', 'coverage_pause': '0 days 28323 seconds', 'coverage_times_pause': '0 days 32665 seconds', 'nb_photos_decision': 5129, 'nb_gray_level_ok': 568, 'nb_dedup_ok': 5116, 'nb_two_criteria_ok': 565, 'nb_forced_upload': 0, 'ratio_coverage': 0.49953261962292106}, 'dashboard_dict': {'nb_ptf_finished': 7, 'nb_images_finished': 134, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 3, 'nb_images_started': 31, 'nb_selected_images': 165, 'last_update': '2022/08/26', 'portfolio_id': 6856460, 'last_run_id': 472687, 'total_number_of_photos': 571}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 13, 'nb_images_finished_for_older': 290, 'nb_ptf_started': 10, 'nb_images_started': 79, 'nb_selected_images': 369, 'last_update': '2022/08/26', 'portfolio_id': 6844250, 'last_run_id': 472453, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 314, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 314, 'last_update': '2022/08/24', 'portfolio_id': 6827218, 'last_run_id': 470784, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 5107, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 28141 seconds', 'coverage_times_pause': '0 days 32466 seconds', 'nb_photos_decision': 5097, 'nb_gray_level_ok': 522, 'nb_dedup_ok': 5079, 'nb_two_criteria_ok': 518, 'nb_forced_upload': 0, 'ratio_coverage': 0.49632268646713346}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 209, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 209, 'last_update': '2022/08/27', 'portfolio_id': 6864486, 'last_run_id': 474335, 'total_number_of_photos': 518}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 15, 'nb_images_finished': 328, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 328, 'last_update': '2022/08/25', 'portfolio_id': 6844250, 'last_run_id': 472181, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 314, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 314, 'last_update': '2022/08/24', 'portfolio_id': 6827218, 'last_run_id': 470784, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 57, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 57, 'last_update': '2022/08/20', 'portfolio_id': 6783368, 'last_run_id': 463638, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4771, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 26246 seconds', 'coverage_times_pause': '0 days 30416 seconds', 'nb_photos_decision': 4760, 'nb_gray_level_ok': 683, 'nb_dedup_ok': 4744, 'nb_two_criteria_ok': 672, 'nb_forced_upload': 0, 'ratio_coverage': 0.46290058025714736}, 'dashboard_dict': {'nb_ptf_finished': 15, 'nb_images_finished': 328, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 328, 'last_update': '2022/08/25', 'portfolio_id': 6844250, 'last_run_id': 472127, 'total_number_of_photos': 672}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 314, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 314, 'last_update': '2022/08/24', 'portfolio_id': 6827218, 'last_run_id': 470784, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 57, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 57, 'last_update': '2022/08/20', 'portfolio_id': 6783368, 'last_run_id': 463638, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 4574, 'max_time_between_images': '0 days 645 seconds', 'coverage_pause': '0 days 25129 seconds', 'coverage_times_pause': '0 days 29163 seconds', 'nb_photos_decision': 4563, 'nb_gray_level_ok': 433, 'nb_dedup_ok': 4549, 'nb_two_criteria_ok': 432, 'nb_forced_upload': 0, 'ratio_coverage': 0.44320005643838517}, 'dashboard_dict': {'nb_ptf_finished': 10, 'nb_images_finished': 314, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 314, 'last_update': '2022/08/24', 'portfolio_id': 6827218, 'last_run_id': 470715, 'total_number_of_photos': 432}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 57, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 57, 'last_update': '2022/08/20', 'portfolio_id': 6783368, 'last_run_id': 463638, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/22', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 4683, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 25707 seconds', 'coverage_times_pause': '0 days 29852 seconds', 'nb_photos_decision': 4672, 'nb_gray_level_ok': 1557, 'nb_dedup_ok': 4640, 'nb_two_criteria_ok': 1534, 'nb_forced_upload': 0, 'ratio_coverage': 0.45339423975731497}, 'dashboard_dict': {'nb_ptf_finished': 1, 'nb_images_finished': 36, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 38, 'nb_selected_images': 74, 'last_update': '2022/08/23', 'portfolio_id': 6809148, 'last_run_id': 468129, 'total_number_of_photos': 1534}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 57, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 57, 'last_update': '2022/08/20', 'portfolio_id': 6783368, 'last_run_id': 463638, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/21', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/22', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 6178, 'max_time_between_images': '0 days 495 seconds', 'coverage_pause': '0 days 34258 seconds', 'coverage_times_pause': '0 days 38909 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.6042081870932468}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 57, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 57, 'last_update': '2022/08/20', 'portfolio_id': 6783368, 'last_run_id': 463638, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/18', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/17', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 6178, 'max_time_between_images': '0 days 495 seconds', 'coverage_pause': '0 days 34258 seconds', 'coverage_times_pause': '0 days 38909 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.6042081870932468}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4862, 'max_time_between_images': '0 days 795 seconds', 'coverage_pause': '0 days 26839 seconds', 'coverage_times_pause': '0 days 30841 seconds', 'nb_photos_decision': 4852, 'nb_gray_level_ok': 3531, 'nb_dedup_ok': 4840, 'nb_two_criteria_ok': 3524, 'nb_forced_upload': 0, 'ratio_coverage': 0.47335931850649926}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6798302, 'last_run_id': 465865, 'total_number_of_photos': 3527}}
No error ? {'log_dict': {'total_nb_images': 4560, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 25018 seconds', 'coverage_times_pause': '0 days 29127 seconds', 'nb_photos_decision': 4550, 'nb_gray_level_ok': 477, 'nb_dedup_ok': 4531, 'nb_two_criteria_ok': 475, 'nb_forced_upload': 0, 'ratio_coverage': 0.44124234995326195}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 57, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 57, 'last_update': '2022/08/20', 'portfolio_id': 6783368, 'last_run_id': 463638, 'total_number_of_photos': 475}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/18', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/17', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
No error ? {'log_dict': {'total_nb_images': 6178, 'max_time_between_images': '0 days 495 seconds', 'coverage_pause': '0 days 34258 seconds', 'coverage_times_pause': '0 days 38909 seconds', 'nb_photos_decision': 6166, 'nb_gray_level_ok': 974, 'nb_dedup_ok': 6160, 'nb_two_criteria_ok': 972, 'nb_forced_upload': 0, 'ratio_coverage': 0.6042081870932468}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 56, 'nb_selected_images': 56, 'last_update': '2022/08/16', 'portfolio_id': 6737105, 'last_run_id': 459844, 'total_number_of_photos': 984}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.4444875570997725}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.4150514118414787}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 5265, 'max_time_between_images': '0 days 734 seconds', 'coverage_pause': '0 days 29016 seconds', 'coverage_times_pause': '0 days 33494 seconds', 'nb_photos_decision': 5264, 'nb_gray_level_ok': 484, 'nb_dedup_ok': 5253, 'nb_two_criteria_ok': 481, 'nb_forced_upload': 0, 'ratio_coverage': 0.5117550574084199}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 128, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 25, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 153, 'last_update': '2022/08/19', 'portfolio_id': 6771076, 'last_run_id': 463066, 'total_number_of_photos': 493}}
No error ? {'log_dict': {'total_nb_images': 4393, 'max_time_between_images': '0 days 494 seconds', 'coverage_pause': '0 days 24083 seconds', 'coverage_times_pause': '0 days 28103 seconds', 'nb_photos_decision': 4383, 'nb_gray_level_ok': 458, 'nb_dedup_ok': 4380, 'nb_two_criteria_ok': 457, 'nb_forced_upload': 0, 'ratio_coverage': 0.4247517592902873}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 133, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 15, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 148, 'last_update': '2022/08/18', 'portfolio_id': 6756962, 'last_run_id': 461634, 'total_number_of_photos': 457}}
No error ? {'log_dict': {'total_nb_images': 5956, 'max_time_between_images': '0 days 618 seconds', 'coverage_pause': '0 days 32980 seconds', 'coverage_times_pause': '0 days 37570 seconds', 'nb_photos_decision': 5954, 'nb_gray_level_ok': 2160, 'nb_dedup_ok': 5953, 'nb_two_criteria_ok': 2159, 'nb_forced_upload': 0, 'ratio_coverage': 0.5816681070212879}, 'dashboard_dict': {'nb_ptf_finished': 6, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 7, 'nb_images_finished_for_older': 239, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 450, 'last_update': '2022/08/17', 'portfolio_id': 6739050, 'last_run_id': 460382, 'total_number_of_photos': 2159}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.4444875570997725}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.4150514118414787}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.4476093052787527}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/15', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/11', 'portfolio_id': 6658698, 'last_run_id': 454030, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/14', 'portfolio_id': 6643366, 'last_run_id': 458795, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 12, 'nb_images_finished': 375, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 375, 'last_update': '2022/08/13', 'portfolio_id': 6633495, 'last_run_id': 456239, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.4444875570997725}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.4150514118414787}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 457375, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.4476093052787527}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/12', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/11', 'portfolio_id': 6658698, 'last_run_id': 454030, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/10', 'portfolio_id': 6643366, 'last_run_id': 452634, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 12, 'nb_images_finished': 375, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 375, 'last_update': '2022/08/13', 'portfolio_id': 6633495, 'last_run_id': 456239, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4594, 'max_time_between_images': '0 days 523 seconds', 'coverage_pause': '0 days 25202 seconds', 'coverage_times_pause': '0 days 29276 seconds', 'nb_photos_decision': 4593, 'nb_gray_level_ok': 642, 'nb_dedup_ok': 4592, 'nb_two_criteria_ok': 642, 'nb_forced_upload': 0, 'ratio_coverage': 0.4444875570997725}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 442, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 2, 'nb_images_started': 46, 'nb_selected_images': 488, 'last_update': '2022/08/14', 'portfolio_id': 6714492, 'last_run_id': 457649, 'total_number_of_photos': 642}}
No error ? {'log_dict': {'total_nb_images': 4288, 'max_time_between_images': '0 days 1099 seconds', 'coverage_pause': '0 days 23533 seconds', 'coverage_times_pause': '0 days 27387 seconds', 'nb_photos_decision': 4278, 'nb_gray_level_ok': 1121, 'nb_dedup_ok': 4260, 'nb_two_criteria_ok': 1118, 'nb_forced_upload': 0, 'ratio_coverage': 0.4150514118414787}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 482, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 482, 'last_update': '2022/08/13', 'portfolio_id': 6696131, 'last_run_id': 456475, 'total_number_of_photos': 1118}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.4476093052787527}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/12', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/11', 'portfolio_id': 6658698, 'last_run_id': 454030, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/10', 'portfolio_id': 6643366, 'last_run_id': 452634, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 284, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 91, 'nb_selected_images': 375, 'last_update': '2022/08/10', 'portfolio_id': 6633495, 'last_run_id': 451521, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4592497222173231}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 54, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 12, 'nb_images_started': 417, 'nb_selected_images': 471, 'last_update': '2022/08/12', 'portfolio_id': 6631875, 'last_run_id': 454472, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 13, 'nb_images_finished': 438, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 438, 'last_update': '2022/08/11', 'portfolio_id': 6630410, 'last_run_id': 454459, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 4606, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25379 seconds', 'coverage_times_pause': '0 days 29343 seconds', 'nb_photos_decision': 4596, 'nb_gray_level_ok': 637, 'nb_dedup_ok': 4567, 'nb_two_criteria_ok': 627, 'nb_forced_upload': 0, 'ratio_coverage': 0.4476093052787527}, 'dashboard_dict': {'nb_ptf_finished': 3, 'nb_images_finished': 115, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 12, 'nb_ptf_started': 2, 'nb_images_started': 80, 'nb_selected_images': 207, 'last_update': '2022/08/12', 'portfolio_id': 6680233, 'last_run_id': 454567, 'total_number_of_photos': 627}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/11', 'portfolio_id': 6658698, 'last_run_id': 454030, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/10', 'portfolio_id': 6643366, 'last_run_id': 452634, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 284, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 91, 'nb_selected_images': 375, 'last_update': '2022/08/10', 'portfolio_id': 6633495, 'last_run_id': 451521, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4592497222173231}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 65, 'nb_selected_images': 65, 'last_update': '2022/08/10', 'portfolio_id': 6631875, 'last_run_id': 450783, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 438, 'nb_selected_images': 438, 'last_update': '2022/08/11', 'portfolio_id': 6630410, 'last_run_id': 450676, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5112612215382988}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/06', 'portfolio_id': 6629957, 'last_run_id': 450648, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5000, 'max_time_between_images': '0 days 915 seconds', 'coverage_pause': '0 days 27593 seconds', 'coverage_times_pause': '0 days 31806 seconds', 'nb_photos_decision': 4999, 'nb_gray_level_ok': 2109, 'nb_dedup_ok': 4957, 'nb_two_criteria_ok': 2083, 'nb_forced_upload': 0, 'ratio_coverage': 0.48665761300904775}, 'dashboard_dict': {'nb_ptf_finished': 14, 'nb_images_finished': 407, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 407, 'last_update': '2022/08/11', 'portfolio_id': 6658698, 'last_run_id': 454030, 'total_number_of_photos': 2083}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/10', 'portfolio_id': 6643366, 'last_run_id': 452634, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 284, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 91, 'nb_selected_images': 375, 'last_update': '2022/08/10', 'portfolio_id': 6633495, 'last_run_id': 451521, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4592497222173231}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 65, 'nb_selected_images': 65, 'last_update': '2022/08/10', 'portfolio_id': 6631875, 'last_run_id': 450783, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 438, 'nb_selected_images': 438, 'last_update': '2022/08/06', 'portfolio_id': 6630410, 'last_run_id': 450676, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5112612215382988}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/06', 'portfolio_id': 6629957, 'last_run_id': 450648, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5490, 'max_time_between_images': '0 days 555 seconds', 'coverage_pause': '0 days 30324 seconds', 'coverage_times_pause': '0 days 34888 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.5348242473412229}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 37, 'nb_selected_images': 248, 'last_update': '2022/08/06', 'portfolio_id': 6622675, 'last_run_id': 450630, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 4720, 'max_time_between_images': '0 days 674 seconds', 'coverage_pause': '0 days 26032 seconds', 'coverage_times_pause': '0 days 30085 seconds', 'nb_photos_decision': 4719, 'nb_gray_level_ok': 1588, 'nb_dedup_ok': 4675, 'nb_two_criteria_ok': 1565, 'nb_forced_upload': 0, 'ratio_coverage': 0.4591262632497928}, 'dashboard_dict': {'nb_ptf_finished': 11, 'nb_images_finished': 320, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 320, 'last_update': '2022/08/10', 'portfolio_id': 6643366, 'last_run_id': 452634, 'total_number_of_photos': 1565}}
No error ? {'log_dict': {'total_nb_images': 4690, 'max_time_between_images': '0 days 676 seconds', 'coverage_pause': '0 days 25756 seconds', 'coverage_times_pause': '0 days 29933 seconds', 'nb_photos_decision': 4689, 'nb_gray_level_ok': 504, 'nb_dedup_ok': 4669, 'nb_two_criteria_ok': 501, 'nb_forced_upload': 0, 'ratio_coverage': 0.454258452530027}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 284, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 91, 'nb_selected_images': 375, 'last_update': '2022/08/09', 'portfolio_id': 6633495, 'last_run_id': 451521, 'total_number_of_photos': 501}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 4735, 'max_time_between_images': '0 days 705 seconds', 'coverage_pause': '0 days 26039 seconds', 'coverage_times_pause': '0 days 30154 seconds', 'nb_photos_decision': 4734, 'nb_gray_level_ok': 2020, 'nb_dedup_ok': 4693, 'nb_two_criteria_ok': 1989, 'nb_forced_upload': 0, 'ratio_coverage': 0.4592497222173231}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 65, 'nb_selected_images': 65, 'last_update': '2022/08/06', 'portfolio_id': 6631875, 'last_run_id': 450783, 'total_number_of_photos': 1989}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 438, 'nb_selected_images': 438, 'last_update': '2022/08/06', 'portfolio_id': 6630410, 'last_run_id': 450676, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5112612215382988}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/06', 'portfolio_id': 6629957, 'last_run_id': 450648, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5490, 'max_time_between_images': '0 days 555 seconds', 'coverage_pause': '0 days 30324 seconds', 'coverage_times_pause': '0 days 34888 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.5348242473412229}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 37, 'nb_selected_images': 248, 'last_update': '2022/08/06', 'portfolio_id': 6622675, 'last_run_id': 450630, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.5965184571156458}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/03', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 438, 'nb_selected_images': 438, 'last_update': '2022/08/06', 'portfolio_id': 6630410, 'last_run_id': 450667, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 5275, 'max_time_between_images': '0 days 554 seconds', 'coverage_pause': '0 days 28988 seconds', 'coverage_times_pause': '0 days 33555 seconds', 'nb_photos_decision': 5274, 'nb_gray_level_ok': 623, 'nb_dedup_ok': 5236, 'nb_two_criteria_ok': 621, 'nb_forced_upload': 0, 'ratio_coverage': 0.5112612215382988}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/06', 'portfolio_id': 6629957, 'last_run_id': 450648, 'total_number_of_photos': 621}}
No error ? {'log_dict': {'total_nb_images': 5490, 'max_time_between_images': '0 days 555 seconds', 'coverage_pause': '0 days 30324 seconds', 'coverage_times_pause': '0 days 34888 seconds', 'nb_photos_decision': 5471, 'nb_gray_level_ok': 1487, 'nb_dedup_ok': 5431, 'nb_two_criteria_ok': 1473, 'nb_forced_upload': 0, 'ratio_coverage': 0.5348242473412229}, 'dashboard_dict': {'nb_ptf_finished': 8, 'nb_images_finished': 211, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 1, 'nb_images_started': 37, 'nb_selected_images': 248, 'last_update': '2022/08/06', 'portfolio_id': 6622675, 'last_run_id': 450630, 'total_number_of_photos': 1473}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.5965184571156458}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/03', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6157780560503713}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 4906, 'max_time_between_images': '0 days 735 seconds', 'coverage_pause': '0 days 27012 seconds', 'coverage_times_pause': '0 days 31274 seconds', 'nb_photos_decision': 4896, 'nb_gray_level_ok': 781, 'nb_dedup_ok': 4862, 'nb_two_criteria_ok': 775, 'nb_forced_upload': 0, 'ratio_coverage': 0.47641051870403356}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 438, 'nb_selected_images': 438, 'last_update': '2022/08/06', 'portfolio_id': 6630410, 'last_run_id': 450667, 'total_number_of_photos': 776}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.5965184571156458}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/03', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6157780560503713}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 6116, 'max_time_between_images': '0 days 496 seconds', 'coverage_pause': '0 days 33822 seconds', 'coverage_times_pause': '0 days 38693 seconds', 'nb_photos_decision': 6115, 'nb_gray_level_ok': 2189, 'nb_dedup_ok': 6055, 'nb_two_criteria_ok': 2150, 'nb_forced_upload': 0, 'ratio_coverage': 0.5965184571156458}, 'dashboard_dict': {'nb_ptf_finished': 5, 'nb_images_finished': 90, 'nb_ptf_finished_for_older': 2, 'nb_images_finished_for_older': 36, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 126, 'last_update': '2022/08/03', 'portfolio_id': 6610799, 'last_run_id': 449568, 'total_number_of_photos': 2150}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6157780560503713}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
No error ? {'log_dict': {'total_nb_images': 6299, 'max_time_between_images': '0 days 615 seconds', 'coverage_pause': '0 days 34914 seconds', 'coverage_times_pause': '0 days 39791 seconds', 'nb_photos_decision': 6298, 'nb_gray_level_ok': 2557, 'nb_dedup_ok': 6210, 'nb_two_criteria_ok': 2501, 'nb_forced_upload': 0, 'ratio_coverage': 0.6157780560503713}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 6, 'nb_images_finished_for_older': 164, 'nb_ptf_started': 1, 'nb_images_started': 50, 'nb_selected_images': 214, 'last_update': '2022/08/02', 'portfolio_id': 6600064, 'last_run_id': 448643, 'total_number_of_photos': 2501}}
Found day : 2022-08-31 00:00:00
Found day : 2022-08-30 00:00:00
Found day : 2022-08-29 00:00:00
Found day : 2022-08-27 00:00:00
Found day : 2022-08-26 00:00:00
Found day : 2022-08-25 00:00:00
Found day : 2022-08-24 00:00:00
Found day : 2022-08-23 00:00:00
Found day : 2022-08-22 00:00:00
Found day : 2022-08-20 00:00:00
Found day : 2022-08-19 00:00:00
Found day : 2022-08-18 00:00:00
Found day : 2022-08-17 00:00:00
Found day : 2022-08-16 00:00:00
Found day : 2022-08-15 00:00:00
Found day : 2022-08-13 00:00:00
Found day : 2022-08-12 00:00:00
Found day : 2022-08-11 00:00:00
Found day : 2022-08-10 00:00:00
Found day : 2022-08-09 00:00:00
Found day : 2022-08-08 00:00:00
Found day : 2022-08-06 00:00:00
Found day : 2022-08-05 00:00:00
Found day : 2022-08-04 00:00:00
Found day : 2022-08-03 00:00:00
Found day : 2022-08-02 00:00:00
Found day : 2022-08-01 00:00:00
after coverage_data
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______emr' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______jrm' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______aluminium' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______pet_fonce' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______gm' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
select avg(cps.score) as score, SUBSTRING_INDEX(SUBSTRING_INDEX(mp.name,'__', -1), '_', 1) as sbstr, SUBSTRING_INDEX(SUBSTRING_INDEX(mp.name,'_', -2), '_', 1) as sbstr2, SUBSTRING_INDEX(mp.name,'_', -1) as sbstr3 FROM MTRUser.mtr_portfolio_photos mpp, MTRUser.mtr_portfolios mp,MTRPhoto.class_photo_score cps,MTRBack.hashtags h,MTRPhoto.dashboard_results dr,MTRPhoto.dashboard_entry_day ded, MTRPhoto.dashboard_places dp WHERE mp.id=mpp.mtr_portfolio_id and cps.photo_id=mpp.mtr_photo_id and h.hashtag_id=cps.hashtag_id and dr.mtr_portfolio_id = mpp.mtr_portfolio_id and dr.dashboard_run_id = ded.last_run_id and ded.dashboard_place_id = dp.id and h.hashtag in ('blur', 'mean_blur', 'clear') and dp.id = 53 and mp.name like '%082022%' and cps.thcl =  1533 GROUP BY sbstr ;
after number_of_batch
 date_start : 2022-08-01 :  <class 'str'>
 dt_date_just_month_year : 2022-08-01 00:00:00 :  <class 'datetime.datetime'>
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
Error parsing crontab !
[Errno 2] No such file or directory: ''
You better check your LOGRASPI env !!!
after pl.get_datou_sts_from_crontab : verbose : True
no sts found, try to find from database
SELECT dri.id
            FROM MTRPhoto.dashboard_run_ids dri,
            MTRPhoto.dashboard_entry_day ded,
            MTRPhoto.dashboard_places dp
            WHERE dp.name= "Romainville_Presse_2"
            AND ded.dashboard_place_id=dp.id
            AND dri.dashboard_entry_day=ded.id
            AND dri.id=ded.last_run_id AND ded.date >= "2022-08-01" AND ded.date <= "2022-08-31"
apple3 {'gm': {'mat': 'gm', 'pht': 4209, 'datou_carac_id': 3994, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier,background'}, 'emr': {'mat': 'emr', 'pht': 4207, 'datou_carac_id': 3993, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'carton,background'}, 'jrm': {'mat': 'jrm', 'pht': 3726, 'datou_carac_id': 3459, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier,background'}, 'ela': {'mat': 'ela', 'pht': 4203, 'datou_carac_id': 3991, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'ela,background'}, 'pehd_pp': {'mat': 'pehd_pp', 'pht': 4211, 'datou_carac_id': 3995, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pehd,background'}, 'pet_fonce': {'mat': 'pet_fonce', 'pht': 4200, 'datou_carac_id': 4153, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_fonce,background'}, 'aluminium': {'mat': 'aluminium', 'pht': 4205, 'datou_carac_id': 3992, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'metal,background'}, 'refus': {'mat': 'refus', 'pht': 3594, 'datou_carac_id': 3318, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'refus,background'}, 'pet_clair': {'mat': 'pet_clair', 'pht': 3327, 'datou_carac_id': 3804, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_clair,bouchon,etiquette,barquette_avec_film,background'}}
SELECT h.hashtag as unwanted_material, substr(dr.hashtag,8) as main_material,
            ptp.type as pht_type,
            sum(pcr.value*dr.nombre_balle)/sum(dr.nombre_balle) as ratio,
            count(distinct mpp.mtr_photo_id) as nb_photo,
            group_concat(distinct ptp.mtr_portfolio_id_2) as list_port_cont,
            group_concat(distinct concat(cast(ptp.mtr_portfolio_id_1 as char), ":", cast(ptp.mtr_portfolio_id_2 as char))) as assoc_port,
            group_concat(distinct concat(cast(ptp.mtr_portfolio_id_1 as char), ":", h.hashtag, ":", cast(ptp.type as char), ":", cast(ptp.mtr_portfolio_id_2 as char))) as assoc_mat
                FROM MTRPhoto.dashboard_results dr,
                MTRPhoto.mtr_port_to_port_ids ptp,
                MTRUser.mtr_portfolio_photos mpp,
                MTRUser.portfolio_carac_ratio pcr,
                MTRBack.hashtags h  WHERE dr.dashboard_run_id IN  (448643,449568,454450,454465,454459,454472,456239,458795,461498,454567,457375,457649,459844,460382,461634,463066,472528,465865,469297,468129,475039,472453,474892,474538,475316,476524,479832,481665,479903)
                AND dr.mtr_portfolio_id=ptp.mtr_portfolio_id_1
                AND dr.qualite >= 0
                AND mpp.mtr_portfolio_id=ptp.mtr_portfolio_id_2
                AND pcr.portfolio_id=ptp.mtr_portfolio_id_1
                AND h.hashtag_id = pcr.hashtag_id
                AND ptp.type = pcr.hashtag_type
                AND mpp.hide_status = 0
                AND ptp.hashtag_id=h.hashtag_id  AND ptp.type IN (4209,4207,3726,4203,4211,4200,4205,3594,3327) 
                 group by h.hashtag, dr.hashtag, ptp.type;
VR TODO TO BETTER PARSE !
({'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0001728785023265608, 'nb_photo': 18, 'list_port_cont': '6861407,6862123,6862547,6867908,6868674,6869389,6869558,6877707,6877972,6881690,6891352,6894202,6907047,6922714,6925593', 'assoc_port': '6790887:6862547,6794193:6862123,6834822:6877972,6840554:6877707,6845438:6869389,6846972:6869558,6851003:6868674,6853215:6861407,6864848:6867908,6881492:6881690,6889190:6891352,6894094:6894202,6906036:6907047,6921897:6922714,6925484:6925593', 'assoc_mat': '6790887:barquette_opaque:4207:6862547,6794193:barquette_opaque:4207:6862123,6834822:barquette_opaque:4207:6877972,6840554:barquette_opaque:4207:6877707,6845438:barquette_opaque:4207:6869389,6846972:barquette_opaque:4207:6869558,6851003:barquette_opaque:4207:6868674,6853215:barquette_opaque:4207:6861407,6864848:barquette_opaque:4207:6867908,6881492:barquette_opaque:4207:6881690,6889190:barquette_opaque:4207:6891352,6894094:barquette_opaque:4207:6894202,6906036:barquette_opaque:4207:6907047,6921897:barquette_opaque:4207:6922714,6925484:barquette_opaque:4207:6925593'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 8.469862336652651e-05, 'nb_photo': 44, 'list_port_cont': '6626450,6627857,6628405,6628829,6644425,6664932,6665236,6666075,6666652,6669243,6669771,6706891,6712605,6719637,6720391,6720629,6722154,6744912,6762879,6775287,6835808,6841133,6842925,6846016,6852775,6853230', 'assoc_port': '6625827:6626450,6627447:6627857,6627801:6628405,6628455:6628829,6630580:6664932,6630581:6665236,6630822:6666075,6631618:6669771,6639123:6644425,6665718:6666652,6668655:6669243,6706262:6706891,6708643:6712605,6719441:6719637,6719951:6720391,6720202:6720629,6721827:6722154,6744086:6744912,6762224:6762879,6774283:6775287,6834821:6835808,6840554:6841133,6842390:6842925,6845438:6846016,6852117:6852775,6852533:6853230', 'assoc_mat': '6625827:barquette_opaque:4209:6626450,6627447:barquette_opaque:4209:6627857,6627801:barquette_opaque:4209:6628405,6628455:barquette_opaque:4209:6628829,6630580:barquette_opaque:4209:6664932,6630581:barquette_opaque:4209:6665236,6630822:barquette_opaque:4209:6666075,6631618:barquette_opaque:4209:6669771,6639123:barquette_opaque:4209:6644425,6665718:barquette_opaque:4209:6666652,6668655:barquette_opaque:4209:6669243,6706262:barquette_opaque:4209:6706891,6708643:barquette_opaque:4209:6712605,6719441:barquette_opaque:4209:6719637,6719951:barquette_opaque:4209:6720391,6720202:barquette_opaque:4209:6720629,6721827:barquette_opaque:4209:6722154,6744086:barquette_opaque:4209:6744912,6762224:barquette_opaque:4209:6762879,6774283:barquette_opaque:4209:6775287,6834821:barquette_opaque:4209:6835808,6840554:barquette_opaque:4209:6841133,6842390:barquette_opaque:4209:6842925,6845438:barquette_opaque:4209:6846016,6852117:barquette_opaque:4209:6852775,6852533:barquette_opaque:4209:6853230'}, {'unwanted_material': 'carton', 'main_material': 'aluminium', 'pht_type': 4205, 'ratio': 0.01022994561299725, 'nb_photo': 16, 'list_port_cont': '6625532,6880743,6880786', 'assoc_port': '6625304:6625532,6880715:6880786,6880716:6880743', 'assoc_mat': '6625304:carton:4205:6625532,6880715:carton:4205:6880786,6880716:carton:4205:6880743'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.9683717828305286, 'nb_photo': 2565, 'list_port_cont': '6860769,6860801,6860841,6860928,6860987,6861035,6861210,6861405,6861437,6861808,6861831,6861929,6862023,6862130,6862206,6862328,6862365,6862540,6862581,6862649,6862984,6863819,6864050,6866304,6866467,6866495,6866955,6867660,6867837,6867907,6868220,6868254,6868280,6868378,6868398,6868623,6868676,6868731,6868887,6868963,6869104,6869323,6869395,6869455,6869560,6876859,6876893,6876912,6876948,6877006,6877054,6877103,6877189,6877551,6877616,6877676,6877710,6877780,6877820,6877867,6877909,6877915,6877971,6877996,6878027,6881699,6884486,6886468,6886876,6887990,6888294,6889466,6891082,6891177,6891354,6894196,6894492,6895946,6896156,6897897,6898092,6898471,6898488,6900295,6900456,6904480,6904513,6905153,6905998,6906484,6907056,6908162,6908516,6908935,6909121,6914618,6915177,6915209,6915268,6916694,6917250,6917397,6920809,6922717,6925589', 'assoc_port': '6790886:6864050,6790887:6862540,6794193:6862130,6832752:6877915,6832753:6877867,6833565:6878027,6834821:6877996,6834822:6877971,6836050:6877780,6838973:6877676,6838974:6877616,6840554:6877710,6842390:6877820,6845438:6869395,6846972:6869560,6846973:6869455,6848417:6869323,6849526:6868887,6851003:6868676,6852117:6868731,6852533:6869104,6852534:6868963,6853215:6861405,6853569:6861437,6853919:6868623,6855642:6860801,6859123:6861831,6860530:6861210,6860531:6861035,6860532:6860987,6860535:6860928,6860537:6860841,6860538:6860769,6861512:6868220,6861514:6868280,6861516:6868254,6861517:6868378,6861519:6862581,6861520:6862649,6861522:6861808,6861523:6862328,6861524:6862206,6861525:6861929,6861635:6862365,6861636:6862023,6862501:6862984,6863220:6863819,6864848:6867907,6864850:6867837,6864851:6867660,6864853:6866955,6864855:6866495,6865738:6866304,6865739:6866467,6868332:6868398,6876683:6877189,6876684:6876912,6876685:6877006,6876686:6877054,6876687:6877103,6876688:6876893,6876689:6876948,6876691:6876859,6877478:6877909,', 'assoc_mat': '6790886:carton:4207:6864050,6790887:carton:4207:6862540,6794193:carton:4207:6862130,6832752:carton:4207:6877915,6832753:carton:4207:6877867,6833565:carton:4207:6878027,6834821:carton:4207:6877996,6834822:carton:4207:6877971,6836050:carton:4207:6877780,6838973:carton:4207:6877676,6838974:carton:4207:6877616,6840554:carton:4207:6877710,6842390:carton:4207:6877820,6845438:carton:4207:6869395,6846972:carton:4207:6869560,6846973:carton:4207:6869455,6848417:carton:4207:6869323,6849526:carton:4207:6868887,6851003:carton:4207:6868676,6852117:carton:4207:6868731,6852533:carton:4207:6869104,6852534:carton:4207:6868963,6853215:carton:4207:6861405,6853569:carton:4207:6861437,6853919:carton:4207:6868623,6855642:carton:4207:6860801,6859123:carton:4207:6861831,6860530:carton:4207:6861210,6860531:carton:4207:6861035,6860532:carton:4207:6860987,6860535:carton:4207:6860928,6860537:carton:4207:6860841,6860538:carton:4207:6860769,6861512:carton:4207:6868220,6861514:carton:4207:6868280,6861516:carton:4207:6868254,6861517:carton:4'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.007834080277437061, 'nb_photo': 1462, 'list_port_cont': '6613099,6614127,6614585,6615525,6616029,6626453,6627860,6628395,6628840,6629152,6629205,6629281,6635304,6635369,6635432,6639702,6640661,6641608,6642551,6644436,6646356,6647438,6648160,6648884,6654375,6655819,6657180,6658370,6659145,6659232,6660891,6661075,6664557,6664640,6664706,6664802,6664929,6665234,6666043,6666077,6666648,6666765,6666944,6668004,6668673,6668922,6669250,6669483,6669559,6669701,6669786,6669812,6670114,6671149,6671463,6671574,6671847,6672297,6674151,6674264,6674794,6676772,6678452,6681186,6683438,6683967,6700222,6702222,6704712,6706887,6708974,6709414,6709569,6710040,6710776,6711299,6712611,6716502,6718348,6718717,6718883,6719281,6719649,6719891,6720389,6720622,6722163,6722585,6722885,6723449,6723510,6744917,6745245,6746407,6748615,6748946,6749029,6758826,6760253,6760547,6761445,6761998,6762877,6774108,6774613,6775298,6776475,6776981,6813192,6834126,6834362,6834696,6835803,6836102,6837017,6839291,6839592,6841138,6842928,6846019,6847495,6847556,6849259,6850419,6851368,6852770,6853216,6853519,', 'assoc_port': '6612572:6613099,6613636:6614127,6614336:6614585,6614890:6615525,6614891:6616029,6625827:6626453,6627447:6627860,6627801:6628395,6627802:6629281,6628455:6628840,6628735:6629152,6628736:6629205,6630577:6664557,6630578:6664706,6630579:6664640,6630580:6664929,6630581:6665234,6630822:6666077,6630823:6666043,6631154:6668004,6631384:6668673,6631385:6668922,6631618:6669786,6631619:6669812,6631901:6670114,6632901:6671149,6632902:6671463,6633542:6635432,6633543:6635304,6633544:6671847,6633545:6635369,6633546:6672297,6635651:6661075,6635653:6660891,6639123:6644436,6639124:6639702,6639695:6642551,6640066:6640661,6640928:6641608,6645791:6646356,6646682:6647438,6647202:6648160,6648217:6648884,6652800:6654375,6655088:6655819,6656505:6657180,6656506:6658370,6657819:6659145,6659025:6659232,6663042:6664802,6665067:6666944,6665718:6666648,6665719:6666765,6668654:6669701,6668655:6669250,6668656:6669483,6668657:6669559,6670886:6671574,6671756:6676772,6673385:6674151,6673850:6674264,6674357:6674794,6678032:6678452,6680947:6681186,', 'assoc_mat': '6612572:carton:4209:6613099,6613636:carton:4209:6614127,6614336:carton:4209:6614585,6614890:carton:4209:6615525,6614891:carton:4209:6616029,6625827:carton:4209:6626453,6627447:carton:4209:6627860,6627801:carton:4209:6628395,6627802:carton:4209:6629281,6628455:carton:4209:6628840,6628735:carton:4209:6629152,6628736:carton:4209:6629205,6630577:carton:4209:6664557,6630578:carton:4209:6664706,6630579:carton:4209:6664640,6630580:carton:4209:6664929,6630581:carton:4209:6665234,6630822:carton:4209:6666077,6630823:carton:4209:6666043,6631154:carton:4209:6668004,6631384:carton:4209:6668673,6631385:carton:4209:6668922,6631618:carton:4209:6669786,6631619:carton:4209:6669812,6631901:carton:4209:6670114,6632901:carton:4209:6671149,6632902:carton:4209:6671463,6633542:carton:4209:6635432,6633543:carton:4209:6635304,6633544:carton:4209:6671847,6633545:carton:4209:6635369,6633546:carton:4209:6672297,6635651:carton:4209:6661075,6635653:carton:4209:6660891,6639123:carton:4209:6644436,6639124:carton:4209:6639702,6639695:carton:4'}, {'unwanted_material': 'carton', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0029313403454804565, 'nb_photo': 10, 'list_port_cont': '6861174,6862613,6886392,6902824,6905431,6920955', 'assoc_port': '6860533:6861174,6861515:6862613,6886257:6886392,6900676:6902824,6905103:6905431,6920015:6920955', 'assoc_mat': '6860533:carton:4209:6861174,6861515:carton:4209:6862613,6886257:carton:4209:6886392,6900676:carton:4209:6902824,6905103:carton:4209:6905431,6920015:carton:4209:6920955'}, {'unwanted_material': 'carton', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.005861756255830517, 'nb_photo': 4, 'list_port_cont': '6647696', 'assoc_port': '6647200:6647696', 'assoc_mat': '6647200:carton:4200:6647696'}, {'unwanted_material': 'ela', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0001359155180754883, 'nb_photo': 1, 'list_port_cont': '6877603', 'assoc_port': '6838974:6877603', 'assoc_mat': '6838974:ela:4207:6877603'}, {'unwanted_material': 'ela', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 5.6302219709875656e-05, 'nb_photo': 3, 'list_port_cont': '6635371,6644435,6657178', 'assoc_port': '6633545:6635371,6639123:6644435,6656505:6657178', 'assoc_mat': '6633545:ela:4209:6635371,6639123:ela:4209:6644435,6656505:ela:4209:6657178'}, {'unwanted_material': 'etiquette', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0004908205603477037, 'nb_photo': 82, 'list_port_cont': '6860802,6860985,6861441,6861842,6861919,6862212,6862342,6862370,6862544,6862643,6868221,6868633,6868729,6869099,6869322,6869388,6869458,6876887,6877052,6877109,6877190,6877547,6877688,6877715,6877814,6877918,6877964,6877998,6878028,6886871,6891088,6891171,6896147,6900293,6900464,6904479,6907053,6908947,6909124,6915211,6915265,6916685,6917252,6920804,6922718', 'assoc_port': '6790887:6862544,6832752:6877918,6833565:6878028,6834821:6877998,6834822:6877964,6838973:6877688,6840554:6877715,6842390:6877814,6845438:6869388,6846973:6869458,6848417:6869322,6852117:6868729,6852533:6869099,6853569:6861441,6853919:6868633,6855642:6860802,6859123:6861842,6860532:6860985,6861512:6868221,6861520:6862643,6861523:6862342,6861524:6862212,6861525:6861919,6861635:6862370,6876683:6877190,6876686:6877052,6876687:6877109,6876688:6876887,6877480:6877547,6886258:6886871,6889185:6891088,6891024:6891171,6895749:6896147,6899246:6900464,6899248:6900293,6900677:6909124,6900678:6908947,6903712:6904479,6906036:6907053,6914258:6915211,6914260:6916685,6914751:6915265,6917033:6917252,6920014:6920804,6921897:6922718', 'assoc_mat': 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'6613106,6614596,6626457,6628830,6629210,6635370,6641607,6642548,6644426,6646347,6647448,6648893,6654377,6659140,6659225,6660883,6661079,6664546,6664700,6665227,6666079,6666644,6666756,6666950,6668662,6669252,6669485,6669785,6671575,6674270,6678461,6683425,6683978,6702227,6704714,6706892,6708972,6709423,6709577,6711293,6712608,6718881,6719276,6719647,6720634,6722892,6723506,6744910,6748597,6762003,6774109,6776983,6841135,6842934,6847565,6859391', 'assoc_port': '6612572:6613106,6614336:6614596,6625827:6626457,6628455:6628830,6628736:6629210,6630577:6664546,6630578:6664700,6630581:6665227,6630822:6666079,6631384:6668662,6631618:6669785,6633545:6635370,6635651:6661079,6635653:6660883,6639123:6644426,6639695:6642548,6640928:6641607,6645791:6646347,6646682:6647448,6648217:6648893,6652800:6654377,6657819:6659140,6659025:6659225,6665067:6666950,6665718:6666644,6665719:6666756,6668655:6669252,6668656:6669485,6670886:6671575,6673850:6674270,6678032:6678461,6682633:6683425,6683289:6683978,6700555:6704714,6701501:6702227,6706262:6706892,6706760:6709423,6707163:6708972,6707499:6709577,6708643:6712608,6708644:6711293,6718520:6719276,6718521:6718881,6719441:6719647,6720202:6720634,6722573:6722892,6723192:6723506,6744086:6744910,6747584:6748597,6759349:6762003,6773386:6774109,6775574:6776983,6840554:6841135,6842390:6842934,6846972:6847565,6859123:6859391', 'assoc_mat': '6612572:pet_fonce:4209:6613106,6614336:pet_fonce:4209:6614596,6625827:pet_fonce:4209:6626457,6628455:pet_fonce:4209:6628830,6628736:pet_fonce:4209:6629210,6630577:pet_fonce:4209:6664546,6630578:pet_fonce:4209:6664700,6630581:pet_fonce:4209:6665227,6630822:pet_fonce:4209:6666079,6631384:pet_fonce:4209:6668662,6631618:pet_fonce:4209:6669785,6633545:pet_fonce:4209:6635370,6635651:pet_fonce:4209:6661079,6635653:pet_fonce:4209:6660883,6639123:pet_fonce:4209:6644426,6639695:pet_fonce:4209:6642548,6640928:pet_fonce:4209:6641607,6645791:pet_fonce:4209:6646347,6646682:pet_fonce:4209:6647448,6648217:pet_fonce:4209:6648893,6652800:pet_fonce:4209:6654377,6657819:pet_fonce:4209:6659140,6659025:pet_fonce:4209:6659225,6665067:pet_fonce:4209:6666950,6665718:pet_fonce:4209:6666644,6665719:pet_fonce:4209:6666756,6668655:pet_fonce:4209:6669252,6668656:pet_fonce:4209:6669485,6670886:pet_fonce:4209:6671575,6673850:pet_fonce:4209:6674270,6678032:pet_fonce:4209:6678461,6682633:pet_fonce:4209:6683425,6683289:pet_fonce:4209:6683978,6'}, {'unwanted_material': 'pet_fonce', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0009882492230258019, 'nb_photo': 2, 'list_port_cont': '6894805', 'assoc_port': '6894658:6894805', 'assoc_mat': '6894658:pet_fonce:4209:6894805'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.9832720072705387, 'nb_photo': 21, 'list_port_cont': '6647700,6861697', 'assoc_port': '6647200:6647700,6861521:6861697', 'assoc_mat': '6647200:pet_fonce:4200:6647700,6861521:pet_fonce:4200:6861697'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0006428090611349251, 'nb_photo': 9, 'list_port_cont': '6866496,6868369,6869096,6869546,6878036,6904487,6905142,6905991,6922715', 'assoc_port': '6833565:6878036,6846972:6869546,6852533:6869096,6861517:6868369,6864855:6866496,6903710:6905991,6903712:6904487,6905102:6905142,6921897:6922715', 'assoc_mat': '6833565:pet_opaque:4207:6878036,6846972:pet_opaque:4207:6869546,6852533:pet_opaque:4207:6869096,6861517:pet_opaque:4207:6868369,6864855:pet_opaque:4207:6866496,6903710:pet_opaque:4207:6905991,6903712:pet_opaque:4207:6904487,6905102:pet_opaque:4207:6905142,6921897:pet_opaque:4207:6922715'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0005744915736568625, 'nb_photo': 214, 'list_port_cont': '6613105,6614118,6616031,6627858,6628408,6628839,6629216,6629282,6635308,6635367,6639706,6640660,6641595,6644422,6647441,6655823,6657172,6658373,6659149,6660897,6661077,6664543,6664634,6664804,6664940,6665229,6666078,6666656,6666757,6666952,6667994,6668664,6668914,6669254,6669547,6669695,6669784,6669814,6670110,6671566,6671848,6672292,6674152,6676774,6678456,6681180,6683428,6683979,6700223,6704719,6706884,6709575,6711305,6712607,6718352,6718715,6719280,6719890,6720396,6722151,6722589,6722891,6723435,6744915,6748617,6748952,6749035,6760254,6761440,6774110,6776978,6813183,6834135,6834365,6834702,6835809,6839582,6841141,6842938,6853225,6853523,6859402', 'assoc_port': '6612572:6613105,6613636:6614118,6614891:6616031,6627447:6627858,6627801:6628408,6627802:6629282,6628455:6628839,6628736:6629216,6630577:6664543,6630579:6664634,6630580:6664940,6630581:6665229,6630822:6666078,6631154:6667994,6631384:6668664,6631385:6668914,6631618:6669784,6631619:6669814,6631901:6670110,6633543:6635308,6633544:6671848,6633545:6635367,6633546:6672292,6635651:6661077,6635653:6660897,6639123:6644422,6639124:6639706,6640066:6640660,6640928:6641595,6646682:6647441,6655088:6655823,6656505:6657172,6656506:6658373,6657819:6659149,6663042:6664804,6665067:6666952,6665718:6666656,6665719:6666757,6668654:6669695,6668655:6669254,6668657:6669547,6670886:6671566,6671756:6676774,6673385:6674152,6678032:6678456,6680947:6681180,6682633:6683428,6683289:6683979,6699726:6700223,6700555:6704719,6706262:6706884,6707499:6709575,6708643:6712607,6708644:6711305,6715973:6718352,6716500:6718715,6717201:6719890,6718520:6719280,6719951:6720396,6721826:6722589,6721827:6722151,6722573:6722891,6723094:6723435,6744086:6744915,', 'assoc_mat': '6612572:pet_opaque:4209:6613105,6613636:pet_opaque:4209:6614118,6614891:pet_opaque:4209:6616031,6627447:pet_opaque:4209:6627858,6627801:pet_opaque:4209:6628408,6627802:pet_opaque:4209:6629282,6628455:pet_opaque:4209:6628839,6628736:pet_opaque:4209:6629216,6630577:pet_opaque:4209:6664543,6630579:pet_opaque:4209:6664634,6630580:pet_opaque:4209:6664940,6630581:pet_opaque:4209:6665229,6630822:pet_opaque:4209:6666078,6631154:pet_opaque:4209:6667994,6631384:pet_opaque:4209:6668664,6631385:pet_opaque:4209:6668914,6631618:pet_opaque:4209:6669784,6631619:pet_opaque:4209:6669814,6631901:pet_opaque:4209:6670110,6633543:pet_opaque:4209:6635308,6633544:pet_opaque:4209:6671848,6633545:pet_opaque:4209:6635367,6633546:pet_opaque:4209:6672292,6635651:pet_opaque:4209:6661077,6635653:pet_opaque:4209:6660897,6639123:pet_opaque:4209:6644422,6639124:pet_opaque:4209:6639706,6640066:pet_opaque:4209:6640660,6640928:pet_opaque:4209:6641595,6646682:pet_opaque:4209:6647441,6655088:pet_opaque:4209:6655823,6656505:pet_opaque:4209:6657172,'})
select count(distinct mtr_photo_id) from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in
                       (select mtr_portfolio_id from MTRPhoto.dashboard_results
                       where dashboard_run_id in(448643,449568,454450,454465,454459,454472,456239,458795,461498,454567,457375,457649,459844,460382,461634,463066,472528,465865,469297,468129,475039,472453,474892,474538,475316,476524,479832,481665,479903));
after get_hostname_from_raspi
 hasthag :  emr
 hasthag that could be used but not yet :  _______carton,background
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______emr' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  jrm
 hasthag that could be used but not yet :  _______papier,background
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______jrm' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  aluminium
 hasthag that could be used but not yet :  _______metal,background
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______aluminium' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  pet_fonce
 hasthag that could be used but not yet :  _______pet_fonce,background
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______pet_fonce' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  gm
 hasthag that could be used but not yet :  _______papier,background
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______gm' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
after impurety_average_per_hashtag
{'number_of_analysed_photos': ((8000,),), 'unwanted_material_monthly_percentage': ((0.02991916097445073,),), 'material_repartition': (('emr', 5015), ('gm', 135), ('aluminium', 89), ('jrm', 45), ('pet_fonce', 28)), 'material_dict': {'emr': 5015, 'autres': 297}, 'coverage_data': (('2022/08/31/', 0.645567), ('2022/08/30/', 1.0), ('2022/08/29/', 1.0), ('2022/08/27/', 0.463906), ('2022/08/26/', 1.0), ('2022/08/25/', 0.812121), ('2022/08/24/', 1.0), ('2022/08/23/', 1.0), ('2022/08/22/', 0.486486), ('2022/08/20/', 0.473359), ('2022/08/19/', 0.441242), ('2022/08/18/', 0.836601), ('2022/08/17/', 0.898649), ('2022/08/16/', 0.581668), ('2022/08/15/', 0.604208), ('2022/08/13/', 0.905738), ('2022/08/12/', 1.0), ('2022/08/11/', 0.555556), ('2022/08/10/', 1.0), ('2022/08/09/', 1.0), ('2022/08/08/', 1.0), ('2022/08/06/', 0.45925), ('2022/08/05/', 1.0), ('2022/08/04/', 0.511261), ('2022/08/03/', 0.850806), ('2022/08/02/', 0.714286), ('2022/08/01/', 0.615778)), 'impurety_average_data': ((datetime.date(2022, 8, 2), 0.014282331762157728, 103), (datetime.date(2022, 8, 3), 0.03494206677880239, 211), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.04557840319999026, 54), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.02268268592206632, 320), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.029592761588569258, 277), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.02985658365132344, 351), (datetime.date(2022, 8, 24), 0.02890717923269598, 369), (datetime.date(2022, 8, 25), 0.02964405365672207, 385), (datetime.date(2022, 8, 26), 0.027188360813364603, 209), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.023942954543620824, 233), (datetime.date(2022, 8, 30), 0.03176500481166622, 362), (datetime.date(2022, 8, 31), 0.024400799858355637, 340)), 'impurety_average_data_per_hashtag': {'emr': ((datetime.date(2022, 8, 2), 0.014497225753743103, 90), (datetime.date(2022, 8, 3), 0.035407726190541, 201), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.051389769677544335, 43), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.022808792662868328, 304), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.03144342737311807, 238), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.030080632780942033, 330), (datetime.date(2022, 8, 24), 0.029230789634089597, 345), (datetime.date(2022, 8, 25), 0.029901630015503007, 357), (datetime.date(2022, 8, 26), 0.028097448563616227, 175), (datetime.date(2022, 8, 29), 0.03005524006484819, 165), (datetime.date(2022, 8, 30), 0.03263495327830263, 307), (datetime.date(2022, 8, 31), 0.02525588399363416, 301)), 'jrm': ((datetime.date(2022, 8, 2), 0.012085072487249132, 13), (datetime.date(2022, 8, 19), 0.010114825333022708, 10), (datetime.date(2022, 8, 23), 0.024498907798673017, 5), (datetime.date(2022, 8, 26), 0.0052974707656706635, 12), (datetime.date(2022, 8, 29), 0.0180872193641313, 5), (datetime.date(2022, 8, 30), 0.012309361035885383, 18), (datetime.date(2022, 8, 31), 0.0, 30)), 'aluminium': ((datetime.date(2022, 8, 3), 0.0029466085982426723, 10), (datetime.date(2022, 8, 6), 0.0, 11), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.0027249051959917212, 35), (datetime.date(2022, 8, 30), 0.0, 5)), 'pet_fonce': ((datetime.date(2022, 8, 9), 0.01691330253037371, 16), (datetime.date(2022, 8, 19), 0.01514668242834379, 6), (datetime.date(2022, 8, 29), 0.0, 6)), 'gm': ((datetime.date(2022, 8, 19), 0.0036688743500458555, 23), (datetime.date(2022, 8, 23), 2.7541150063779214e-07, 16), (datetime.date(2022, 8, 24), 0.009998135847154843, 24), (datetime.date(2022, 8, 25), 0.007110951820118182, 28), (datetime.date(2022, 8, 26), 0.0026635914561474365, 22), (datetime.date(2022, 8, 29), 0.005845156606103965, 22), (datetime.date(2022, 8, 30), 0.01774597693816732, 32), (datetime.date(2022, 8, 31), 0.04037847154938461, 9))}, 'quality_array': [['7.002742885641196', '01082022'], ['7.276538764582762', '02082022'], ['7.489191991610414', '03082022'], ['7.1515808570282635', '04082022'], ['7.481548146738859', '05082022'], ['7.304119764213931', '06082022'], ['7.180322525692267', '08082022'], ['6.878113539107664', '09082022'], ['7.100998473868195', '10082022'], ['7.303181417036363', '11082022'], ['6.929539513848952', '12082022'], ['6.949887273916412', '13082022'], ['6.952864344290567', '15082022'], ['6.946439599449299', '16082022'], ['8.200164971876198', '17082022'], ['7.414826551741067', '18082022'], ['7.567049552876916', '19082022'], ['8.275572615180698', '22082022'], ['8.683058890962057', '23082022'], ['9.447587725285345', '24082022'], ['9.907266828738836', '25082022'], ['9.398694081509628', '26082022'], ['3.699836545530341', '28082022'], ['9.278913980706943', '29082022'], ['9.808918378829057', '30082022'], ['12.679394134058633', '31082022']], 'number_of_batch': ((325,),), 'datou_id_sts': 3981, 'map_hashtag_number_mat': {'hash_to_mat_nb': ({'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0001728785023265608, 'nb_photo': 18, 'list_port_cont': '6861407,6862123,6862547,6867908,6868674,6869389,6869558,6877707,6877972,6881690,6891352,6894202,6907047,6922714,6925593', 'assoc_port': '6790887:6862547,6794193:6862123,6834822:6877972,6840554:6877707,6845438:6869389,6846972:6869558,6851003:6868674,6853215:6861407,6864848:6867908,6881492:6881690,6889190:6891352,6894094:6894202,6906036:6907047,6921897:6922714,6925484:6925593', 'assoc_mat': '6790887:barquette_opaque:4207:6862547,6794193:barquette_opaque:4207:6862123,6834822:barquette_opaque:4207:6877972,6840554:barquette_opaque:4207:6877707,6845438:barquette_opaque:4207:6869389,6846972:barquette_opaque:4207:6869558,6851003:barquette_opaque:4207:6868674,6853215:barquette_opaque:4207:6861407,6864848:barquette_opaque:4207:6867908,6881492:barquette_opaque:4207:6881690,6889190:barquette_opaque:4207:6891352,6894094:barquette_opaque:4207:6894202,6906036:barquette_opaque:4207:6907047,6921897:barquette_opaque:4207:6922714,6925484:barquette_opaque:4207:6925593'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 8.469862336652651e-05, 'nb_photo': 44, 'list_port_cont': '6626450,6627857,6628405,6628829,6644425,6664932,6665236,6666075,6666652,6669243,6669771,6706891,6712605,6719637,6720391,6720629,6722154,6744912,6762879,6775287,6835808,6841133,6842925,6846016,6852775,6853230', 'assoc_port': '6625827:6626450,6627447:6627857,6627801:6628405,6628455:6628829,6630580:6664932,6630581:6665236,6630822:6666075,6631618:6669771,6639123:6644425,6665718:6666652,6668655:6669243,6706262:6706891,6708643:6712605,6719441:6719637,6719951:6720391,6720202:6720629,6721827:6722154,6744086:6744912,6762224:6762879,6774283:6775287,6834821:6835808,6840554:6841133,6842390:6842925,6845438:6846016,6852117:6852775,6852533:6853230', 'assoc_mat': 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 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3981
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3981
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3981
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_2";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3981
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3981
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3981
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
{'number_of_analysed_photos': ((8000,),), 'unwanted_material_monthly_percentage': ((0.02991916097445073,),), 'material_repartition': (('emr', 5015), ('gm', 135), ('aluminium', 89), ('jrm', 45), ('pet_fonce', 28)), 'material_dict': {'emr': 5015, 'autres': 297}, 'coverage_data': (('2022/08/31/', 0.645567), ('2022/08/30/', 1.0), ('2022/08/29/', 1.0), ('2022/08/27/', 0.463906), ('2022/08/26/', 1.0), ('2022/08/25/', 0.812121), ('2022/08/24/', 1.0), ('2022/08/23/', 1.0), ('2022/08/22/', 0.486486), ('2022/08/20/', 0.473359), ('2022/08/19/', 0.441242), ('2022/08/18/', 0.836601), ('2022/08/17/', 0.898649), ('2022/08/16/', 0.581668), ('2022/08/15/', 0.604208), ('2022/08/13/', 0.905738), ('2022/08/12/', 1.0), ('2022/08/11/', 0.555556), ('2022/08/10/', 1.0), ('2022/08/09/', 1.0), ('2022/08/08/', 1.0), ('2022/08/06/', 0.45925), ('2022/08/05/', 1.0), ('2022/08/04/', 0.511261), ('2022/08/03/', 0.850806), ('2022/08/02/', 0.714286), ('2022/08/01/', 0.615778)), 'impurety_average_data': ((datetime.date(2022, 8, 2), 0.014282331762157728, 103), (datetime.date(2022, 8, 3), 0.03494206677880239, 211), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.04557840319999026, 54), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.02268268592206632, 320), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.029592761588569258, 277), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.02985658365132344, 351), (datetime.date(2022, 8, 24), 0.02890717923269598, 369), (datetime.date(2022, 8, 25), 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'6832753:pet_fonce:4207:6877879,6834821:pet_fonce:4207:6878008,6838973:pet_fonce:4207:6877674,6840554:pet_fonce:4207:6877708,6842390:pet_fonce:4207:6877816,6846972:pet_fonce:4207:6869549,6851003:pet_fonce:4207:6868671,6855642:pet_fonce:4207:6860798,6859123:pet_fonce:4207:6861839,6861516:pet_fonce:4207:6868256,6861524:pet_fonce:4207:6862207,6886258:pet_fonce:4207:6886869,6887695:pet_fonce:4207:6888301,6887698:pet_fonce:4207:6889467,6898175:pet_fonce:4207:6898496,6904057:pet_fonce:4207:6904520,6914259:pet_fonce:4207:6915175,6921897:pet_fonce:4207:6922716'}, {'unwanted_material': 'pet_fonce', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.002001176734086916, 'nb_photo': 165, 'list_port_cont': '6613106,6614596,6626457,6628830,6629210,6635370,6641607,6642548,6644426,6646347,6647448,6648893,6654377,6659140,6659225,6660883,6661079,6664546,6664700,6665227,6666079,6666644,6666756,6666950,6668662,6669252,6669485,6669785,6671575,6674270,6678461,6683425,6683978,6702227,6704714,6706892,6708972,6709423,6709577,6711293,6712608,6718881,6719276,6719647,6720634,6722892,6723506,6744910,6748597,6762003,6774109,6776983,6841135,6842934,6847565,6859391', 'assoc_port': '6612572:6613106,6614336:6614596,6625827:6626457,6628455:6628830,6628736:6629210,6630577:6664546,6630578:6664700,6630581:6665227,6630822:6666079,6631384:6668662,6631618:6669785,6633545:6635370,6635651:6661079,6635653:6660883,6639123:6644426,6639695:6642548,6640928:6641607,6645791:6646347,6646682:6647448,6648217:6648893,6652800:6654377,6657819:6659140,6659025:6659225,6665067:6666950,6665718:6666644,6665719:6666756,6668655:6669252,6668656:6669485,6670886:6671575,6673850:6674270,6678032:6678461,6682633:6683425,6683289:6683978,6700555:6704714,6701501:6702227,6706262:6706892,6706760:6709423,6707163:6708972,6707499:6709577,6708643:6712608,6708644:6711293,6718520:6719276,6718521:6718881,6719441:6719647,6720202:6720634,6722573:6722892,6723192:6723506,6744086:6744910,6747584:6748597,6759349:6762003,6773386:6774109,6775574:6776983,6840554:6841135,6842390:6842934,6846972:6847565,6859123:6859391', 'assoc_mat': '6612572:pet_fonce:4209:6613106,6614336:pet_fonce:4209:6614596,6625827:pet_fonce:4209:6626457,6628455:pet_fonce:4209:6628830,6628736:pet_fonce:4209:6629210,6630577:pet_fonce:4209:6664546,6630578:pet_fonce:4209:6664700,6630581:pet_fonce:4209:6665227,6630822:pet_fonce:4209:6666079,6631384:pet_fonce:4209:6668662,6631618:pet_fonce:4209:6669785,6633545:pet_fonce:4209:6635370,6635651:pet_fonce:4209:6661079,6635653:pet_fonce:4209:6660883,6639123:pet_fonce:4209:6644426,6639695:pet_fonce:4209:6642548,6640928:pet_fonce:4209:6641607,6645791:pet_fonce:4209:6646347,6646682:pet_fonce:4209:6647448,6648217:pet_fonce:4209:6648893,6652800:pet_fonce:4209:6654377,6657819:pet_fonce:4209:6659140,6659025:pet_fonce:4209:6659225,6665067:pet_fonce:4209:6666950,6665718:pet_fonce:4209:6666644,6665719:pet_fonce:4209:6666756,6668655:pet_fonce:4209:6669252,6668656:pet_fonce:4209:6669485,6670886:pet_fonce:4209:6671575,6673850:pet_fonce:4209:6674270,6678032:pet_fonce:4209:6678461,6682633:pet_fonce:4209:6683425,6683289:pet_fonce:4209:6683978,6'}, {'unwanted_material': 'pet_fonce', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0009882492230258019, 'nb_photo': 2, 'list_port_cont': '6894805', 'assoc_port': '6894658:6894805', 'assoc_mat': '6894658:pet_fonce:4209:6894805'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.9832720072705387, 'nb_photo': 21, 'list_port_cont': '6647700,6861697', 'assoc_port': '6647200:6647700,6861521:6861697', 'assoc_mat': '6647200:pet_fonce:4200:6647700,6861521:pet_fonce:4200:6861697'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0006428090611349251, 'nb_photo': 9, 'list_port_cont': '6866496,6868369,6869096,6869546,6878036,6904487,6905142,6905991,6922715', 'assoc_port': '6833565:6878036,6846972:6869546,6852533:6869096,6861517:6868369,6864855:6866496,6903710:6905991,6903712:6904487,6905102:6905142,6921897:6922715', 'assoc_mat': '6833565:pet_opaque:4207:6878036,6846972:pet_opaque:4207:6869546,6852533:pet_opaque:4207:6869096,6861517:pet_opaque:4207:6868369,6864855:pet_opaque:4207:6866496,6903710:pet_opaque:4207:6905991,6903712:pet_opaque:4207:6904487,6905102:pet_opaque:4207:6905142,6921897:pet_opaque:4207:6922715'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0005744915736568625, 'nb_photo': 214, 'list_port_cont': '6613105,6614118,6616031,6627858,6628408,6628839,6629216,6629282,6635308,6635367,6639706,6640660,6641595,6644422,6647441,6655823,6657172,6658373,6659149,6660897,6661077,6664543,6664634,6664804,6664940,6665229,6666078,6666656,6666757,6666952,6667994,6668664,6668914,6669254,6669547,6669695,6669784,6669814,6670110,6671566,6671848,6672292,6674152,6676774,6678456,6681180,6683428,6683979,6700223,6704719,6706884,6709575,6711305,6712607,6718352,6718715,6719280,6719890,6720396,6722151,6722589,6722891,6723435,6744915,6748617,6748952,6749035,6760254,6761440,6774110,6776978,6813183,6834135,6834365,6834702,6835809,6839582,6841141,6842938,6853225,6853523,6859402', 'assoc_port': '6612572:6613105,6613636:6614118,6614891:6616031,6627447:6627858,6627801:6628408,6627802:6629282,6628455:6628839,6628736:6629216,6630577:6664543,6630579:6664634,6630580:6664940,6630581:6665229,6630822:6666078,6631154:6667994,6631384:6668664,6631385:6668914,6631618:6669784,6631619:6669814,6631901:6670110,6633543:6635308,6633544:6671848,6633545:6635367,6633546:6672292,6635651:6661077,6635653:6660897,6639123:6644422,6639124:6639706,6640066:6640660,6640928:6641595,6646682:6647441,6655088:6655823,6656505:6657172,6656506:6658373,6657819:6659149,6663042:6664804,6665067:6666952,6665718:6666656,6665719:6666757,6668654:6669695,6668655:6669254,6668657:6669547,6670886:6671566,6671756:6676774,6673385:6674152,6678032:6678456,6680947:6681180,6682633:6683428,6683289:6683979,6699726:6700223,6700555:6704719,6706262:6706884,6707499:6709575,6708643:6712607,6708644:6711305,6715973:6718352,6716500:6718715,6717201:6719890,6718520:6719280,6719951:6720396,6721826:6722589,6721827:6722151,6722573:6722891,6723094:6723435,6744086:6744915,', 'assoc_mat': '6612572:pet_opaque:4209:6613105,6613636:pet_opaque:4209:6614118,6614891:pet_opaque:4209:6616031,6627447:pet_opaque:4209:6627858,6627801:pet_opaque:4209:6628408,6627802:pet_opaque:4209:6629282,6628455:pet_opaque:4209:6628839,6628736:pet_opaque:4209:6629216,6630577:pet_opaque:4209:6664543,6630579:pet_opaque:4209:6664634,6630580:pet_opaque:4209:6664940,6630581:pet_opaque:4209:6665229,6630822:pet_opaque:4209:6666078,6631154:pet_opaque:4209:6667994,6631384:pet_opaque:4209:6668664,6631385:pet_opaque:4209:6668914,6631618:pet_opaque:4209:6669784,6631619:pet_opaque:4209:6669814,6631901:pet_opaque:4209:6670110,6633543:pet_opaque:4209:6635308,6633544:pet_opaque:4209:6671848,6633545:pet_opaque:4209:6635367,6633546:pet_opaque:4209:6672292,6635651:pet_opaque:4209:6661077,6635653:pet_opaque:4209:6660897,6639123:pet_opaque:4209:6644422,6639124:pet_opaque:4209:6639706,6640066:pet_opaque:4209:6640660,6640928:pet_opaque:4209:6641595,6646682:pet_opaque:4209:6647441,6655088:pet_opaque:4209:6655823,6656505:pet_opaque:4209:6657172,'}), 'main_stat': {'nb_photos': 8000}}, 'hostname': (('jetson-2',),), 'impurety_average_per_hashtag': [(('emr', '2022-08', 0.03139712425437559),), (('jrm', '2022-08', 0.00838254816722681),), (('aluminium', '2022-08', 0.006832126052700646),), (('pet_fonce', '2022-08', 0.012910461966287217),), (('gm', '2022-08', 0.009116560536537937),)]}
filepath : /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel/sla_mensuel_Romainville_Presse_2_mois_08_annee_2022.pdf
Before plot_photos_and_unwanted_material_summary
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
None was removed should we ?
donnée sous forme de texte was removed should we ?
[ptf_id0,ptf_id1...] was removed should we ?
Before organize_and_plot_unwanted_material_stats
{'emr': {'barquette_opaque': ['barquette_opaque', '0.01%', 44], 'carton': ['carton', '0.78%', 1462], 'ela': ['ela', '0.01%', 3], 'etiquette': ['etiquette', '0.08%', 1049], 'film_plastique': ['film_plastique', '0.01%', 9], 'kraft': ['kraft', '0.11%', 1], 'metal': ['metal', '2.6%', 787], 'papier': ['papier', '96.86%', 148871], 'pehd': ['pehd', '0.0%', 2], 'pet_clair': ['pet_clair', '0.04%', 52], 'pet_fonce': ['pet_fonce', '0.2%', 165], 'pet_opaque': ['pet_opaque', '0.06%', 214]}, 'aluminium': {'carton': ['carton', '1.02%', 16], 'metal': ['metal', '98.97%', 54], 'papier': ['papier', '0.13%', 9]}, 'gm': {'carton': ['carton', '0.29%', 10], 'etiquette': ['etiquette', '0.08%', 16], 'metal': ['metal', '3.43%', 14], 'papier': ['papier', '99.03%', 2955], 'pet_clair': ['pet_clair', '0.04%', 1], 'pet_fonce': ['pet_fonce', '0.1%', 2]}, 'pet_fonce': {'carton': ['carton', '0.59%', 4], 'etiquette': ['etiquette', '0.11%', 5], 'papier': ['papier', '1.02%', 31], 'pet_fonce': ['pet_fonce', '98.33%', 21]}}
before plot_matierial_repartition
before organize_and_plot_coverage_data
before organize_and_plot_impurety_average_data
before organize_and_plot_quality_photo_data
finish generating
filepath : /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel/sla_mensuel_Romainville_Presse_2_mois_08_annee_2022.pdf
hash: 9b473a9b7e6f69a2b2147971a7bf4221 for path: /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel/sla_mensuel_Romainville_Presse_2_mois_08_annee_2022.pdf
voici le hostname : marlene
hash: 9b473a9b7e6f69a2b2147971a7bf4221 for path: /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel/sla_mensuel_Romainville_Presse_2_mois_08_annee_2022.pdf

############################### TEST one_day  ################################
TODO and TOTEST
Removing /home/admin/workarea/git/Velours/python/prod/memo/sla_one_day
 nb_day : (3, 30)
nb deleted : 3
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
Inconsistency in dashboard_places 
 dashboard_places from input : romainville_petite_presse
 dashboard_name_from_port found from datou STS from crontab from raspi : Romainville_Presse_1
We force the correct camera_place_name !
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_1";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO
TODO : Insert select and so on
 ***** analysis of device with port 20001 for dashboard romainville_petite_presse *****
  **** analysis of day 2022/09/01/ ****
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
WARNING: No hour configured for port 20001, from 00:00 to 24:00 used
0:00:00 apple
   pause between two photos 10
Unable to retrieve photo time from log, find in sqlite.
Find filename in sqlite.
 List of all images
[]
   Info from logs
    total number of images : 0
    coverage for 10 seconds : 0:00:00 (0.00%)
    coverage for 20 seconds : 0:00:00 (0.00%)
    max time between two photos : 0:00:00
    results of pre-diagnostic : light ok 5716, not duplicated 5865, two criteria ok 5716, nb forced upload 0
    end of day status of photos as found in sqllite
Unable to find info for dashboard number 181 for day 2022-09-01 00:00:00
   Info from dashboard
    total number of uploaded images : 0
    number of useful images : 5716
    number of finished photos : 0 (0.00% of two criteria ok)
    number of finished photos for older algorithm : 0 (0.00% of two criteria ok)
    number of started photos : 0 (0.00% of two criteria ok)
  **** analysis of day 2022/09/02/ ****
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
WARNING: No hour configured for port 20001, from 00:00 to 24:00 used
0:00:00 apple
   pause between two photos 10
Unable to retrieve photo time from log, find in sqlite.
Find filename in sqlite.
 List of all images
[]
   Info from logs
    total number of images : 0
    coverage for 10 seconds : 0:00:00 (0.00%)
    coverage for 20 seconds : 0:00:00 (0.00%)
    max time between two photos : 0:00:00
    results of pre-diagnostic : light ok 5716, not duplicated 5865, two criteria ok 5716, nb forced upload 0
    end of day status of photos as found in sqllite
Unable to find info for dashboard number 181 for day 2022-09-02 00:00:00
   Info from dashboard
    total number of uploaded images : 0
    number of useful images : 5716
    number of finished photos : 0 (0.00% of two criteria ok)
    number of finished photos for older algorithm : 0 (0.00% of two criteria ok)
    number of started photos : 0 (0.00% of two criteria ok)
  **** analysis of day 2022/09/03/ ****
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
WARNING: No hour configured for port 20001, from 00:00 to 24:00 used
0:00:00 apple
   pause between two photos 10
Unable to retrieve photo time from log, find in sqlite.
Find filename in sqlite.
 List of all images
[]
   Info from logs
    total number of images : 0
    coverage for 10 seconds : 0:00:00 (0.00%)
    coverage for 20 seconds : 0:00:00 (0.00%)
    max time between two photos : 0:00:00
    results of pre-diagnostic : light ok 5716, not duplicated 5865, two criteria ok 5716, nb forced upload 0
    end of day status of photos as found in sqllite
Unable to find info for dashboard number 181 for day 2022-09-03 00:00:00
   Info from dashboard
    total number of uploaded images : 0
    number of useful images : 5716
    number of finished photos : 0 (0.00% of two criteria ok)
    number of finished photos for older algorithm : 0 (0.00% of two criteria ok)
    number of started photos : 0 (0.00% of two criteria ok)
  **** analysis for all days ****
  Info from logs
   total number of images : 0
   coverage for 10 seconds : 0:00:00 (0.00%)
   coverage for 20 seconds : 0:00:00 (0.00%)
   max time between two photos : 0:00:00
   results of pre-diagnostic : light ok 17148, not duplicated 17595, two criteria ok 17148, nb forced upload 0
   end of day status of photos as found in sqllite
  Info from dashboard
   total number of uploaded images : 0
   number of useful images : 17148
   number of finished photos : 0 (0.00% of two criteria ok)
   number of finished photos for older algorithm : 0 (0.00% of two criteria ok)
   number of started photos : 0 (0.00% of two criteria ok)
cvs resume : 

date,nb_photos,% time,nb ok,uploaded,to upload, % uploaded, nb useful, % completed photos, last_update, remark
2022/09/01,0,0.00%,5716,0,0,0.00%,0,0.00%,0000/00/00,
2022/09/02,0,0.00%,5716,0,0,0.00%,0,0.00%,0000/00/00,
2022/09/03,0,0.00%,5716,0,0,0.00%,0,0.00%,0000/00/00,
coverage for this period for every 10 second
2022/09/01/ 0.0
2022/09/02/ 0.0
2022/09/03/ 0.0
mean value for this period :  0.0
coverage for this period for every 20 second
2022/09/01/ 0.0
2022/09/02/ 0.0
2022/09/03/ 0.0
mean value for this period :  0.0
SQL: SELECT ms.id, ms.name, mst.name as type, ms.test_group, ms.test_name, ms.server, ms.version_code, ms.result_str, ms.result_bool, ms.result_float, ms.lien, ms.created_at FROM MTRAdmin.monitor_sys ms
                 INNER JOIN MTRAdmin.monitor_sys_type mst on mst.id = ms.type 
                 WHERE mst.id='3' AND ms.name='sla_RUBBIA' AND ms.test_name like '%20001 romainville_petite_presse%'ORDER BY ms.id desc LIMIT 0, 1000000;

############################### TEST get_data  ################################
TODO and TOTEST
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_1";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
 nb_day : (0, 31)
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_1";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
place_id : 53
month : 08
mtr_id : 1038
dashboard_places : Romainville_Presse_1
date : 2022-08
year : 2022
raspi : 20064
select count(distinct mtr_photo_id) from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in (select id from MTRUser.mtr_portfolios where  id in (select mtr_portfolio_id from MTRPhoto.dashboard_results where dashboard_run_id in(select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id in (select id from MTRPhoto.dashboard_places where name = 'Romainville_Presse_1' and date like '%2022-08%') and created_at like '%2022-08%')));
 nb_day : (0, 31)
after unwanted_material_data
 nb_day : (0, 31)
SQL: SELECT ms.id, ms.name, mst.name as type, ms.test_group, ms.test_name, ms.server, ms.version_code, ms.result_str, ms.result_bool, ms.result_float, ms.lien, ms.created_at FROM MTRAdmin.monitor_sys ms
                 INNER JOIN MTRAdmin.monitor_sys_type mst on mst.id = ms.type 
                 WHERE ms.test_name like '%20064%' AND ms.result_str like '%2022/08%'ORDER BY ms.id desc LIMIT 0, 1000000;
No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 52510 seconds', 'coverage_times_pause': '0 days 52816 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 11774, 'nb_dedup_ok': 11774, 'nb_two_criteria_ok': 11774, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.9261186264308012}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58927 seconds', 'coverage_times_pause': '0 days 59361 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 3929, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 3929, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58785 seconds', 'coverage_times_pause': '0 days 59249 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 3918, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 3918, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58815 seconds', 'coverage_times_pause': '0 days 59311 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 3921, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 3921, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58800 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 3920, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 3920, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58875 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 3925, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 3925, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 58860 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 3924, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 3924, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58755 seconds', 'coverage_times_pause': '0 days 59354 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 3916, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 3916, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 58965 seconds', 'coverage_times_pause': '0 days 59198 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59025 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 59100 seconds', 'coverage_times_pause': '0 days 59297 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59309 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 59186 seconds', 'coverage_times_pause': '0 days 59365 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59111 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59308 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 37154 seconds', 'coverage_times_pause': '0 days 37372 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2477, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2477, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.6552849256600646}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59024 seconds', 'coverage_times_pause': '0 days 59304 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59115 seconds', 'coverage_times_pause': '0 days 59374 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59010 seconds', 'coverage_times_pause': '0 days 59242 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59366 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3932, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 59040 seconds', 'coverage_times_pause': '0 days 59363 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59369 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 59112 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3941, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3941, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 59130 seconds', 'coverage_times_pause': '0 days 59372 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 58663 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3911, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 58692 seconds', 'coverage_times_pause': '0 days 59285 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3914, 'nb_dedup_ok': 3914, 'nb_two_criteria_ok': 3914, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 52510 seconds', 'coverage_times_pause': '0 days 52816 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 11774, 'nb_dedup_ok': 11774, 'nb_two_criteria_ok': 11774, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.9261186264308012}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58927 seconds', 'coverage_times_pause': '0 days 59361 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 3929, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 3929, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58785 seconds', 'coverage_times_pause': '0 days 59249 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 3918, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 3918, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58815 seconds', 'coverage_times_pause': '0 days 59311 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 3921, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 3921, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58800 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 3920, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 3920, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58875 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 3925, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 3925, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 58860 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 3924, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 3924, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58755 seconds', 'coverage_times_pause': '0 days 59354 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 3916, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 3916, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 58965 seconds', 'coverage_times_pause': '0 days 59198 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59025 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 59100 seconds', 'coverage_times_pause': '0 days 59297 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59309 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 59186 seconds', 'coverage_times_pause': '0 days 59365 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59111 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59308 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 37154 seconds', 'coverage_times_pause': '0 days 37372 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2477, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2477, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.6552849256600646}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59024 seconds', 'coverage_times_pause': '0 days 59304 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59115 seconds', 'coverage_times_pause': '0 days 59374 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59010 seconds', 'coverage_times_pause': '0 days 59242 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59366 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3932, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 59040 seconds', 'coverage_times_pause': '0 days 59363 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59369 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 59112 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3941, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3941, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 59130 seconds', 'coverage_times_pause': '0 days 59372 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 58663 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3911, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 58692 seconds', 'coverage_times_pause': '0 days 59285 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3914, 'nb_dedup_ok': 3914, 'nb_two_criteria_ok': 3914, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 52510 seconds', 'coverage_times_pause': '0 days 52816 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 11774, 'nb_dedup_ok': 11774, 'nb_two_criteria_ok': 11774, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.9261186264308012}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58927 seconds', 'coverage_times_pause': '0 days 59361 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 3929, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 3929, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58785 seconds', 'coverage_times_pause': '0 days 59249 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 3918, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 3918, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58815 seconds', 'coverage_times_pause': '0 days 59311 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 3921, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 3921, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58800 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 3920, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 3920, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58875 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 3925, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 3925, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 58860 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 3924, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 3924, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58755 seconds', 'coverage_times_pause': '0 days 59354 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 3916, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 3916, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 58965 seconds', 'coverage_times_pause': '0 days 59198 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59025 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 59100 seconds', 'coverage_times_pause': '0 days 59297 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59309 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 59186 seconds', 'coverage_times_pause': '0 days 59365 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59111 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59308 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 37154 seconds', 'coverage_times_pause': '0 days 37372 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2477, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2477, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.6552849256600646}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59024 seconds', 'coverage_times_pause': '0 days 59304 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59115 seconds', 'coverage_times_pause': '0 days 59374 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59010 seconds', 'coverage_times_pause': '0 days 59242 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59366 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3932, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 59040 seconds', 'coverage_times_pause': '0 days 59363 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59369 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 59112 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3941, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3941, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 59130 seconds', 'coverage_times_pause': '0 days 59372 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 58663 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3911, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 58692 seconds', 'coverage_times_pause': '0 days 59285 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3914, 'nb_dedup_ok': 3914, 'nb_two_criteria_ok': 3914, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}}
No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/02', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4023}}
No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/02', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/01', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/01', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4023}}
No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/01', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}}
No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}}
No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/01', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}}
No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/27', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}}
No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472123, 'total_number_of_photos': 1033}}
No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/24', 'portfolio_id': 6830485, 'last_run_id': 470724, 'total_number_of_photos': 898}}
No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469344, 'total_number_of_photos': 2075}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/20', 'portfolio_id': 6785173, 'last_run_id': 464819, 'total_number_of_photos': 3939}}
No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 58, 'nb_images_finished': 1089, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 15, 'nb_images_started': 413, 'nb_selected_images': 1603, 'last_update': '2022/08/19', 'portfolio_id': 6771154, 'last_run_id': 463447, 'total_number_of_photos': 4062}}
No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/18', 'portfolio_id': 6756941, 'last_run_id': 462344, 'total_number_of_photos': 3930}}
No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 68, 'nb_images_finished': 1390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 343, 'nb_selected_images': 1733, 'last_update': '2022/08/17', 'portfolio_id': 6738801, 'last_run_id': 461015, 'total_number_of_photos': 3941}}
Since we don't have condition on date we need to verify this lately !
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2474}}
No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 51, 'nb_images_finished': 864, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 33, 'nb_images_started': 767, 'nb_selected_images': 1631, 'last_update': '2022/08/12', 'portfolio_id': 6680169, 'last_run_id': 455143, 'total_number_of_photos': 3939}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 856, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 17, 'nb_images_started': 407, 'nb_selected_images': 1263, 'last_update': '2022/08/11', 'portfolio_id': 6662197, 'last_run_id': 453977, 'total_number_of_photos': 3931}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/10', 'portfolio_id': 6645254, 'last_run_id': 452640, 'total_number_of_photos': 3937}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 76, 'nb_images_started': 1439, 'nb_selected_images': 1439, 'last_update': '2022/08/06', 'portfolio_id': 6630409, 'last_run_id': 450661, 'total_number_of_photos': 3927}}
No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/03', 'portfolio_id': 6612466, 'last_run_id': 450107, 'total_number_of_photos': 3919}}
No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449257, 'total_number_of_photos': 3918}}
Found day : 2022-08-31 00:00:00
Found day : 2022-08-30 00:00:00
Found day : 2022-08-29 00:00:00
Found day : 2022-08-27 00:00:00
Found day : 2022-08-26 00:00:00
Found day : 2022-08-25 00:00:00
Found day : 2022-08-24 00:00:00
Found day : 2022-08-23 00:00:00
Found day : 2022-08-22 00:00:00
Found day : 2022-08-20 00:00:00
Found day : 2022-08-19 00:00:00
Found day : 2022-08-18 00:00:00
Found day : 2022-08-17 00:00:00
Found day : 2022-08-16 00:00:00
Found day : 2022-08-15 00:00:00
Found day : 2022-08-13 00:00:00
Found day : 2022-08-12 00:00:00
Found day : 2022-08-11 00:00:00
Found day : 2022-08-10 00:00:00
Found day : 2022-08-09 00:00:00
Found day : 2022-08-08 00:00:00
Found day : 2022-08-06 00:00:00
Found day : 2022-08-05 00:00:00
Found day : 2022-08-04 00:00:00
Found day : 2022-08-03 00:00:00
Found day : 2022-08-02 00:00:00
Found day : 2022-08-01 00:00:00
after coverage_data
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______emr' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______jrm' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______aluminium' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______pet_fonce' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______gm' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut;
select avg(cps.score) as score, SUBSTRING_INDEX(SUBSTRING_INDEX(mp.name,'__', -1), '_', 1) as sbstr, SUBSTRING_INDEX(SUBSTRING_INDEX(mp.name,'_', -2), '_', 1) as sbstr2, SUBSTRING_INDEX(mp.name,'_', -1) as sbstr3 FROM MTRUser.mtr_portfolio_photos mpp, MTRUser.mtr_portfolios mp,MTRPhoto.class_photo_score cps,MTRBack.hashtags h,MTRPhoto.dashboard_results dr,MTRPhoto.dashboard_entry_day ded, MTRPhoto.dashboard_places dp WHERE mp.id=mpp.mtr_portfolio_id and cps.photo_id=mpp.mtr_photo_id and h.hashtag_id=cps.hashtag_id and dr.mtr_portfolio_id = mpp.mtr_portfolio_id and dr.dashboard_run_id = ded.last_run_id and ded.dashboard_place_id = dp.id and h.hashtag in ('blur', 'mean_blur', 'clear') and dp.id = 53 and mp.name like '%082022%' and cps.thcl =  1533 GROUP BY sbstr ;
after number_of_batch
 date_start : 2022-08-01 :  <class 'str'>
 dt_date_just_month_year : 2022-08-01 00:00:00 :  <class 'datetime.datetime'>
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
after pl.get_datou_sts_from_crontab : verbose : True
no sts found, try to find from database
SELECT dri.id
            FROM MTRPhoto.dashboard_run_ids dri,
            MTRPhoto.dashboard_entry_day ded,
            MTRPhoto.dashboard_places dp
            WHERE dp.name= "Romainville_Presse_1"
            AND ded.dashboard_place_id=dp.id
            AND dri.dashboard_entry_day=ded.id
            AND dri.id=ded.last_run_id AND ded.date >= "2022-08-01" AND ded.date <= "2022-08-31"
apple3 {'gm': {'mat': 'gm', 'pht': 4209, 'datou_carac_id': 3994, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier,background'}, 'emr': {'mat': 'emr', 'pht': 4207, 'datou_carac_id': 3993, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'carton,background'}, 'jrm': {'mat': 'jrm', 'pht': 3726, 'datou_carac_id': 3459, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier,background'}, 'ela': {'mat': 'ela', 'pht': 4203, 'datou_carac_id': 3991, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'ela,background'}, 'pet_clair': {'mat': 'pet_clair', 'pht': 3327, 'datou_carac_id': 3804, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_clair,bouchon,etiquette,barquette_avec_film,background'}, 'film_pedb': {'mat': 'film_pedb', 'pht': 4461, 'datou_carac_id': 4322, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'film_plastique'}, 'pehd_pp': {'mat': 'pehd_pp', 'pht': 4211, 'datou_carac_id': 3995, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pehd,background'}, 'pet_fonce': {'mat': 'pet_fonce', 'pht': 4200, 'datou_carac_id': 4153, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_fonce,background'}, 'aluminium': {'mat': 'aluminium', 'pht': 4205, 'datou_carac_id': 3992, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'metal,background'}, 'refus': {'mat': 'refus', 'pht': 3594, 'datou_carac_id': 3318, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'refus,background'}}
SELECT h.hashtag as unwanted_material, substr(dr.hashtag,8) as main_material,
            ptp.type as pht_type,
            sum(pcr.value*dr.nombre_balle)/sum(dr.nombre_balle) as ratio,
            count(distinct mpp.mtr_photo_id) as nb_photo,
            group_concat(distinct ptp.mtr_portfolio_id_2) as list_port_cont,
            group_concat(distinct concat(cast(ptp.mtr_portfolio_id_1 as char), ":", cast(ptp.mtr_portfolio_id_2 as char))) as assoc_port,
            group_concat(distinct concat(cast(ptp.mtr_portfolio_id_1 as char), ":", h.hashtag, ":", cast(ptp.type as char), ":", cast(ptp.mtr_portfolio_id_2 as char))) as assoc_mat
                FROM MTRPhoto.dashboard_results dr,
                MTRPhoto.mtr_port_to_port_ids ptp,
                MTRUser.mtr_portfolio_photos mpp,
                MTRUser.portfolio_carac_ratio pcr,
                MTRBack.hashtags h  WHERE dr.dashboard_run_id IN  (449271,454376,454388,454411,454399,454424,451519,452689,468274,455185,456478,457640,459828,461074,462392,463490,464885,465870,469411,470781,897152,474755,474338,475306,477478,478927,479886)
                AND dr.mtr_portfolio_id=ptp.mtr_portfolio_id_1
                AND dr.qualite >= 0
                AND mpp.mtr_portfolio_id=ptp.mtr_portfolio_id_2
                AND pcr.portfolio_id=ptp.mtr_portfolio_id_1
                AND h.hashtag_id = pcr.hashtag_id
                AND ptp.type = pcr.hashtag_type
                AND mpp.hide_status = 0
                AND ptp.hashtag_id=h.hashtag_id  AND ptp.type IN (4209,4207,3726,4203,3327,4461,4211,4200,4205,3594) 
                 group by h.hashtag, dr.hashtag, ptp.type;
VR TODO TO BETTER PARSE !
({'unwanted_material': 'autre', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.025985557831013643, 'nb_photo': 16651, 'list_port_cont': '6601211,6601249,6601319,6601376,6601558,6601691,6601783,6601837,6602312,6603611,6603837,6603984,6604939,6606283,6606361,6607127,6607396,6607889,6608318,6608592,6608684,6608960,6609911,6610060,6610278,6610907,6611078,6613725,6614148,6615899,6616064,6616199,6616975,6617461,6617846,6618177,6618947,6620505,6620992,6621119,6621146,6621174,6621388,6621447,6621537,6622105,6622162,6622311,6622378,6622426,6622514,6622647,6622758,6626372,6626974,6626997,6627200,6627837,6628024,6628557,6628624,6629354,6629396,6635806,6635864,6635897,6635947,6635974,6636029,6636109,6636139,6636295,6636316,6636423,6636599,6636674,6636727,6636791,6637048,6637689,6637708,6637756,6637854,6637954,6637974,6638095,6638421,6638597,6638696,6638833,6638947,6638968,6639187,6639299,6639353,6639652,6639761,6639844,6639904,6639965,6640123,6640725,6640745,6640776,6640959,6641209,6641306,6641333,6641484,6641521,6641655,6641820,6641954,6642026,6642079,6642285,6643237,6643372,6643479,6643603,6643631,6643664,6643695,6643718,6643895,6644078,6644458,6644663,', 'assoc_port': '6600535:6601249,6600537:6601691,6600543:6601211,6600545:6601376,6600547:6601558,6600550:6601783,6600553:6601319,6601140:6602312,6601199:6601837,6602727:6603837,6602729:6603984,6602732:6603611,6604400:6604939,6604702:6606361,6605500:6606283,6605502:6607127,6606682:6608318,6606685:6607889,6606687:6607396,6607836:6608592,6607838:6608684,6608144:6608960,6609197:6610060,6609198:6609911,6609963:6610278,6610497:6611078,6610499:6610907,6612953:6613725,6613333:6614148,6614966:6616199,6614968:6616064,6615360:6615899,6616171:6616975,6616960:6618177,6616966:6617461,6616967:6617846,6618310:6618947,6620036:6620505,6620039:6621388,6620042:6620992,6620404:6621146,6620441:6621447,6620445:6621174,6620446:6621537,6620449:6621119,6621639:6622647,6621642:6622758,6621645:6622514,6621650:6622378,6621652:6622426,6621655:6622162,6621656:6622105,6621661:6622311,6625901:6626372,6626270:6626974,6626272:6626997,6626275:6627200,6627097:6627837,6627099:6628024,6627946:6628557,6627948:6628624,6628988:6629354,6628991:6629396,6630847:6635947,', 'assoc_mat': '6600535:autre:3327:6601249,6600537:autre:3327:6601691,6600543:autre:3327:6601211,6600545:autre:3327:6601376,6600547:autre:3327:6601558,6600550:autre:3327:6601783,6600553:autre:3327:6601319,6601140:autre:3327:6602312,6601199:autre:3327:6601837,6602727:autre:3327:6603837,6602729:autre:3327:6603984,6602732:autre:3327:6603611,6604400:autre:3327:6604939,6604702:autre:3327:6606361,6605500:autre:3327:6606283,6605502:autre:3327:6607127,6606682:autre:3327:6608318,6606685:autre:3327:6607889,6606687:autre:3327:6607396,6607836:autre:3327:6608592,6607838:autre:3327:6608684,6608144:autre:3327:6608960,6609197:autre:3327:6610060,6609198:autre:3327:6609911,6609963:autre:3327:6610278,6610497:autre:3327:6611078,6610499:autre:3327:6610907,6612953:autre:3327:6613725,6613333:autre:3327:6614148,6614966:autre:3327:6616199,6614968:autre:3327:6616064,6615360:autre:3327:6615899,6616171:autre:3327:6616975,6616960:autre:3327:6618177,6616966:autre:3327:6617461,6616967:autre:3327:6617846,6618310:autre:3327:6618947,6620036:autre:3327:662050'}, {'unwanted_material': 'barquette_avec_film', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.0050634087913797535, 'nb_photo': 1051, 'list_port_cont': '6601216,6601255,6601316,6601366,6601556,6601694,6601795,6601849,6602314,6603610,6603845,6603981,6604938,6606272,6606380,6607136,6607388,6607885,6608324,6608593,6608675,6608967,6609910,6610048,6610273,6611082,6613721,6614147,6615898,6616193,6616972,6617468,6618176,6618950,6620509,6620988,6621144,6621167,6621391,6621449,6622102,6622163,6622316,6622379,6622436,6622519,6622752,6626364,6626973,6627004,6627197,6627840,6628023,6628564,6628623,6629352,6629394,6635811,6635862,6635901,6635945,6635972,6636036,6636112,6636138,6636318,6636424,6636724,6637044,6637685,6637716,6637764,6637852,6637945,6637984,6638094,6638596,6638700,6638835,6638944,6638974,6639298,6639361,6639645,6639764,6639852,6639896,6639968,6640121,6640722,6640783,6640963,6641211,6641294,6641332,6641486,6641520,6641652,6641944,6642022,6642080,6642290,6643373,6643478,6643608,6643683,6643716,6643902,6644079,6644456,6644652,6645162,6645304,6645766,6647408,6648376,6648805,6649738,6651383,6651686,6654487,6654608,6655045,6655877,6656213,6656668,6659085,6660221,', 'assoc_port': '6600535:6601255,6600537:6601694,6600543:6601216,6600545:6601366,6600547:6601556,6600550:6601795,6600553:6601316,6601140:6602314,6601199:6601849,6602727:6603845,6602729:6603981,6602732:6603610,6604400:6604938,6604702:6606380,6605500:6606272,6605502:6607136,6606682:6608324,6606685:6607885,6606687:6607388,6607836:6608593,6607838:6608675,6608144:6608967,6609197:6610048,6609198:6609910,6609963:6610273,6610497:6611082,6612953:6613721,6613333:6614147,6614966:6616193,6615360:6615898,6616171:6616972,6616960:6618176,6616966:6617468,6618310:6618950,6620036:6620509,6620039:6621391,6620042:6620988,6620404:6621144,6620441:6621449,6620445:6621167,6621642:6622752,6621645:6622519,6621650:6622379,6621652:6622436,6621655:6622163,6621656:6622102,6621661:6622316,6625901:6626364,6626270:6626973,6626272:6627004,6626275:6627197,6627097:6627840,6627099:6628023,6627946:6628564,6627948:6628623,6628988:6629352,6628991:6629394,6630847:6635945,6630849:6636036,6630851:6635972,6630854:6637685,6630934:6637764,6630936:6637716,6630938:6638094,', 'assoc_mat': '6600535:barquette_avec_film:3327:6601255,6600537:barquette_avec_film:3327:6601694,6600543:barquette_avec_film:3327:6601216,6600545:barquette_avec_film:3327:6601366,6600547:barquette_avec_film:3327:6601556,6600550:barquette_avec_film:3327:6601795,6600553:barquette_avec_film:3327:6601316,6601140:barquette_avec_film:3327:6602314,6601199:barquette_avec_film:3327:6601849,6602727:barquette_avec_film:3327:6603845,6602729:barquette_avec_film:3327:6603981,6602732:barquette_avec_film:3327:6603610,6604400:barquette_avec_film:3327:6604938,6604702:barquette_avec_film:3327:6606380,6605500:barquette_avec_film:3327:6606272,6605502:barquette_avec_film:3327:6607136,6606682:barquette_avec_film:3327:6608324,6606685:barquette_avec_film:3327:6607885,6606687:barquette_avec_film:3327:6607388,6607836:barquette_avec_film:3327:6608593,6607838:barquette_avec_film:3327:6608675,6608144:barquette_avec_film:3327:6608967,6609197:barquette_avec_film:3327:6610048,6609198:barquette_avec_film:3327:6609910,6609963:barquette_avec_film:3327:6610273'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0006065490165070008, 'nb_photo': 9, 'list_port_cont': '6603426,6627334,6634749,6723417,6780640,6834099,6852168', 'assoc_port': '6602731:6603426,6626721:6627334,6630937:6634749,6671808:6834099,6722813:6723417,6780026:6780640,6851650:6852168', 'assoc_mat': '6602731:barquette_opaque:4203:6603426,6626721:barquette_opaque:4203:6627334,6630937:barquette_opaque:4203:6634749,6671808:barquette_opaque:4203:6834099,6722813:barquette_opaque:4203:6723417,6780026:barquette_opaque:4203:6780640,6851650:barquette_opaque:4203:6852168'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0005293780694215035, 'nb_photo': 1, 'list_port_cont': '6692906', 'assoc_port': '6691778:6692906', 'assoc_mat': '6691778:barquette_opaque:4209:6692906'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.008662761320534096, 'nb_photo': 659, 'list_port_cont': '6600860,6600903,6601023,6601433,6602273,6602593,6603403,6606082,6607689,6608069,6608289,6609462,6610653,6614532,6615427,6615792,6616525,6618779,6618922,6620328,6621053,6621664,6621960,6622002,6622135,6622199,6624057,6626607,6627268,6628481,6629183,6629252,6634382,6635139,6638289,6638441,6640989,6642058,6642706,6650155,6650276,6650959,6658495,6664041,6668175,6669610,6672035,6674014,6674549,6674630,6674772,6675081,6675105,6675139,6675482,6676524,6677132,6677217,6678042,6678216,6678577,6678660,6678688,6678769,6678960,6678988,6681252,6687138,6692292,6693194,6693681,6693891,6694045,6694217,6694420,6698421,6698805,6699377,6699427,6700669,6707231,6711232,6711409,6711495,6712142,6713437,6713607,6713753,6714397,6716562,6717498,6717555,6718025,6719023,6719736,6720660,6720723,6721143,6721925,6722677,6723045,6723102,6724740,6724912,6724973,6725830,6729866,6730263,6730718,6731855,6732324,6732440,6735375,6738136,6740197,6740602,6741090,6741939,6743256,6743597,6743876,6745278,6747827,6751581,6751678,6751683,6752336,6754140,', 'assoc_port': '10844008:10846065,10844009:10845784,10844011:10845552,10844012:10845981,10844014:10845176,10844016:10845161,10844017:10845129,10844018:10844946,10844019:10845048,10844020:10844679,12107427:12108055,12107429:12107821,6600536:6601433,6600544:6600860,6600546:6601023,6600551:6600903,6601138:6602593,6601649:6602273,6602733:6603403,6604399:6608069,6605499:6610653,6605688:6606082,6606683:6607689,6607839:6608289,6609199:6609462,6614199:6614532,6614969:6615427,6615362:6615792,6616173:6616525,6618307:6618779,6618311:6618922,6620040:6620328,6620422:6621664,6620444:6621053,6621638:6624057,6621647:6622199,6621651:6622135,6621654:6621960,6621659:6622002,6626268:6626607,6627098:6627268,6627945:6628481,6628987:6629183,6628989:6629252,6630852:6674014,6630932:6674630,6630935:6674772,6630939:6675105,6631065:6675081,6631069:6675482,6631193:6635139,6631477:6676524,6631489:6677132,6631492:6677217,6631967:6634382,6632585:6678216,6632660:6678577,6632663:6678660,6632714:6678769,6632787:6678688,6632877:6678960,6632881:6678988,6635669:', 'assoc_mat': '10844008:barquette_opaque:4211:10846065,10844009:barquette_opaque:4211:10845784,10844011:barquette_opaque:4211:10845552,10844012:barquette_opaque:4211:10845981,10844014:barquette_opaque:4211:10845176,10844016:barquette_opaque:4211:10845161,10844017:barquette_opaque:4211:10845129,10844018:barquette_opaque:4211:10844946,10844019:barquette_opaque:4211:10845048,10844020:barquette_opaque:4211:10844679,12107427:barquette_opaque:4211:12108055,12107429:barquette_opaque:4211:12107821,6600536:barquette_opaque:4211:6601433,6600544:barquette_opaque:4211:6600860,6600546:barquette_opaque:4211:6601023,6600551:barquette_opaque:4211:6600903,6601138:barquette_opaque:4211:6602593,6601649:barquette_opaque:4211:6602273,6602733:barquette_opaque:4211:6603403,6604399:barquette_opaque:4211:6608069,6605499:barquette_opaque:4211:6610653,6605688:barquette_opaque:4211:6606082,6606683:barquette_opaque:4211:6607689,6607839:barquette_opaque:4211:6608289,6609199:barquette_opaque:4211:6609462,6614199:barquette_opaque:4211:6614532,6614969:barq'}, 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'6600545:6601378,6600553:6601312,6601140:6602302,6604400:6604937,6606685:6607897,6606687:6607386,6609197:6610056,6609198:6609918,6613333:6614156,6614966:6616198,6616966:6617469,6618310:6618949,6620445:6621166,6620446:6621524,6621645:6622523,6621652:6622432,6621655:6622171,6621661:6622318,6626272:6627007,6626275:6627194,6627099:6628022,6627946:6628558,6627948:6628620,6628988:6629360,6628991:6629385,6631066:6641660,6631073:6639649,6631075:6639963,6631076:6639360,6631185:6638951,6631476:6640116,6631964:6642088,6632584:6645758,6632785:6635890,6632788:6643666,6632880:6636335,6632882:6644074,6632968:6645311,6633861:6637041,6635680:6636150,6637237:6637956,6637846:6639300,6638772:6639843,6640591:6641206,6640596:6643686,6641258:6642031,6646445:6648013,6646448:6647413,6647213:6648348,6649832:6652033,6650508:6651389,6650511:6651678,6650952:6652947,6652019:6653022,6653519:6654605,6654835:6655887,6654836:6659096,6656899:6658048,6657892:6660216,6664425:6665644,6664427:6665949,6667559:6668610,6671807:6672473,6671811:6673067,', 'assoc_mat': '6600545:pet_fonce:3327:6601378,6600553:pet_fonce:3327:6601312,6601140:pet_fonce:3327:6602302,6604400:pet_fonce:3327:6604937,6606685:pet_fonce:3327:6607897,6606687:pet_fonce:3327:6607386,6609197:pet_fonce:3327:6610056,6609198:pet_fonce:3327:6609918,6613333:pet_fonce:3327:6614156,6614966:pet_fonce:3327:6616198,6616966:pet_fonce:3327:6617469,6618310:pet_fonce:3327:6618949,6620445:pet_fonce:3327:6621166,6620446:pet_fonce:3327:6621524,6621645:pet_fonce:3327:6622523,6621652:pet_fonce:3327:6622432,6621655:pet_fonce:3327:6622171,6621661:pet_fonce:3327:6622318,6626272:pet_fonce:3327:6627007,6626275:pet_fonce:3327:6627194,6627099:pet_fonce:3327:6628022,6627946:pet_fonce:3327:6628558,6627948:pet_fonce:3327:6628620,6628988:pet_fonce:3327:6629360,6628991:pet_fonce:3327:6629385,6631066:pet_fonce:3327:6641660,6631073:pet_fonce:3327:6639649,6631075:pet_fonce:3327:6639963,6631076:pet_fonce:3327:6639360,6631185:pet_fonce:3327:6638951,6631476:pet_fonce:3327:6640116,6631964:pet_fonce:3327:6642088,6632584:pet_fonce:3327:6645758,6'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.9433959349191054, 'nb_photo': 1865, 'list_port_cont': '6600921,6602052,6604879,6606107,6609173,6613064,6615625,6618497,6620185,6620862,6621905,6626786,6628358,6634244,6635391,6637070,6637445,6638364,6639248,6641566,6646009,6647335,6649279,6649476,6649915,6653441,6654686,6655703,6658466,6662391,6665191,6669589,6670061,6672609,6674517,6683670,6684465,6686804,6687227,6687466,6696439,6696818,6698462,6711554,6712271,6712775,6714495,6717596,6719814,6720150,6720211,6720250,6720367,6721247,6722527,6724149,6739286,6740801,6745519,6745787,6750252,6754190,6754558,6759425,6765276,6766699,6767360,6780401,6780523,6780723,6784025,6786849,6788646,6791336,6793695,6795539,6797667,6813921,6817652,6821383,6824097,6835196,6836551,6840207,6842434,6849224,6851782,6852366,6854523,6859029,6862727,6865773,6866335,6867976,6869266,6874407,6875753,6875975,6882723,6886803,6888103,6889495,6895281,6900334,6902509,6904835,6914448,6920755,6921623,6924260', 'assoc_port': '6600538:6600921,6601136:6602052,6604397:6604879,6605689:6606107,6608145:6609173,6612632:6613064,6615365:6615625,6618309:6618497,6620043:6620185,6620439:6620862,6621653:6621905,6626271:6626786,6627944:6628358,6630848:6646009,6631070:6649279,6631186:6634244,6631194:6649915,6631961:6655703,6632583:6662391,6632786:6635391,6632966:6670061,6635673:6637445,6635681:6637070,6637843:6638364,6638774:6639248,6641286:6641566,6646447:6647335,6648940:6649476,6650951:6653441,6654041:6654686,6657889:6658466,6664429:6665191,6668950:6669589,6671809:6672609,6673895:6674517,6681680:6683670,6683618:6684465,6685440:6720367,6685511:6720211,6686027:6719814,6686041:6720150,6686295:6687466,6686312:6687227,6686325:6686804,6688871:6714495,6690894:6698462,6693641:6696439,6696476:6696818,6710860:6711554,6711680:6712271,6712324:6712775,6716688:6717596,6718843:6720250,6720803:6721247,6722354:6722527,6723892:6724149,6738748:6739286,6740018:6740801,6740709:6745519,6744268:6745787,6748062:6750252,6753406:6754558,6753419:6754190,6759057:6759425,', 'assoc_mat': '6600538:pet_fonce:4200:6600921,6601136:pet_fonce:4200:6602052,6604397:pet_fonce:4200:6604879,6605689:pet_fonce:4200:6606107,6608145:pet_fonce:4200:6609173,6612632:pet_fonce:4200:6613064,6615365:pet_fonce:4200:6615625,6618309:pet_fonce:4200:6618497,6620043:pet_fonce:4200:6620185,6620439:pet_fonce:4200:6620862,6621653:pet_fonce:4200:6621905,6626271:pet_fonce:4200:6626786,6627944:pet_fonce:4200:6628358,6630848:pet_fonce:4200:6646009,6631070:pet_fonce:4200:6649279,6631186:pet_fonce:4200:6634244,6631194:pet_fonce:4200:6649915,6631961:pet_fonce:4200:6655703,6632583:pet_fonce:4200:6662391,6632786:pet_fonce:4200:6635391,6632966:pet_fonce:4200:6670061,6635673:pet_fonce:4200:6637445,6635681:pet_fonce:4200:6637070,6637843:pet_fonce:4200:6638364,6638774:pet_fonce:4200:6639248,6641286:pet_fonce:4200:6641566,6646447:pet_fonce:4200:6647335,6648940:pet_fonce:4200:6649476,6650951:pet_fonce:4200:6653441,6654041:pet_fonce:4200:6654686,6657889:pet_fonce:4200:6658466,6664429:pet_fonce:4200:6665191,6668950:pet_fonce:4200:6669589,6'}, {'unwanted_material': 'pet_opaque', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0009264502462378221, 'nb_photo': 9, 'list_port_cont': '6608814,6660097,6712722,6735145,6799275,6808109,6869931', 'assoc_port': '6608146:6608814,6632879:6660097,6685476:6799275,6690887:6735145,6712332:6712722,6786466:6808109,6869544:6869931', 'assoc_mat': '6608146:pet_opaque:4203:6608814,6632879:pet_opaque:4203:6660097,6685476:pet_opaque:4203:6799275,6690887:pet_opaque:4203:6735145,6712332:pet_opaque:4203:6712722,6786466:pet_opaque:4203:6808109,6869544:pet_opaque:4203:6869931'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.007255625347838711, 'nb_photo': 19, 'list_port_cont': '6616740,6617521,6620419,6621938,6627043,6638500,6668139,6668209,6670564,6670896,6678093,6740485,6791207', 'assoc_port': '6616168:6616740,6616963:6617521,6620037:6620419,6621646:6621938,6626722:6627043,6631190:6668139,6631196:6668209,6632661:6670564,6632883:6670896,6638162:6638500,6677866:6678093,6740030:6740485,6790915:6791207', 'assoc_mat': '6616168:pet_opaque:4209:6616740,6616963:pet_opaque:4209:6617521,6620037:pet_opaque:4209:6620419,6621646:pet_opaque:4209:6621938,6626722:pet_opaque:4209:6627043,6631190:pet_opaque:4209:6668139,6631196:pet_opaque:4209:6668209,6632661:pet_opaque:4209:6670564,6632883:pet_opaque:4209:6670896,6638162:pet_opaque:4209:6638500,6677866:pet_opaque:4209:6678093,6740030:pet_opaque:4209:6740485,6790915:pet_opaque:4209:6791207'}, {'unwanted_material': 'pet_opaque', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.0016345171833525593, 'nb_photo': 222, 'list_port_cont': '6600901,6602283,6603013,6606069,6608294,6610401,6610657,6611146,6614528,6615400,6621062,6621675,6621998,6622129,6622205,6626613,6629184,6629244,6634651,6635837,6638286,6639164,6650157,6668179,6669616,6672038,6674023,6674634,6674773,6675099,6675136,6677119,6677811,6678215,6678578,6678957,6679224,6681250,6691510,6691659,6693900,6694213,6694417,6698434,6698768,6698799,6699430,6711411,6711493,6712146,6712497,6712754,6713439,6716561,6717501,6717546,6718028,6719452,6720657,6720722,6724914,6725690,6725833,6728841,6729870,6730329,6730727,6731863,6732437,6735376,6738126,6740205,6740607,6741938,6743382,6745286,6751579,6751673,6754142,6754990,6755968,6756060,6756975,6762171,6763524,6767274,6768410,6773018,6774679,6775056,6778932,6780264,6780486,6783061,6791499,6793831,6794248,6794400,6795572,6796823,6799103,6799441,6799779,6800492,6800530,6801272,6801402,6806174,6808133,6808682,6808713,6808832,6808873,6809086,6810005,6815419,6822330,6839899,6842610,6853846,6855228,6855448,6863478,6866679,6869888,6870654,6875922,6890225,', 'assoc_port': '10844011:10845551,10844021:10844440,6600551:6600901,6601649:6602283,6602728:6603013,6605499:6610657,6605688:6606069,6607835:6610401,6607839:6608294,6610992:6611146,6614199:6614528,6614967:6615400,6620422:6621675,6620444:6621062,6621647:6622205,6621651:6622129,6621659:6621998,6626268:6626613,6628987:6629184,6628989:6629244,6630852:6674023,6630856:6634651,6630932:6674634,6630935:6674773,6630939:6675099,6631489:6677119,6631960:6677811,6632585:6678215,6632660:6678578,6632877:6678957,6632963:6679224,6633862:6635837,6635671:6693900,6635682:6694213,6637236:6698768,6637845:6638286,6638776:6639164,6640595:6806174,6647215:6717546,6648944:6650157,6653523:6725690,6654038:6724914,6654837:6725833,6655426:6728841,6656895:6729870,6657891:6731863,6666361:6668179,6668952:6751579,6668953:6669616,6671805:6756060,6671810:6672038,6672701:6755968,6674723:6675136,6681005:6681250,6683620:6691510,6685431:6799103,6685494:6799441,6685525:6799779,6686006:6855228,6686021:6855448,6686094:6800530,6686269:6800492,6686302:6801272,6686308:6801', 'assoc_mat': '10844011:pet_opaque:4211:10845551,10844021:pet_opaque:4211:10844440,6600551:pet_opaque:4211:6600901,6601649:pet_opaque:4211:6602283,6602728:pet_opaque:4211:6603013,6605499:pet_opaque:4211:6610657,6605688:pet_opaque:4211:6606069,6607835:pet_opaque:4211:6610401,6607839:pet_opaque:4211:6608294,6610992:pet_opaque:4211:6611146,6614199:pet_opaque:4211:6614528,6614967:pet_opaque:4211:6615400,6620422:pet_opaque:4211:6621675,6620444:pet_opaque:4211:6621062,6621647:pet_opaque:4211:6622205,6621651:pet_opaque:4211:6622129,6621659:pet_opaque:4211:6621998,6626268:pet_opaque:4211:6626613,6628987:pet_opaque:4211:6629184,6628989:pet_opaque:4211:6629244,6630852:pet_opaque:4211:6674023,6630856:pet_opaque:4211:6634651,6630932:pet_opaque:4211:6674634,6630935:pet_opaque:4211:6674773,6630939:pet_opaque:4211:6675099,6631489:pet_opaque:4211:6677119,6631960:pet_opaque:4211:6677811,6632585:pet_opaque:4211:6678215,6632660:pet_opaque:4211:6678578,6632877:pet_opaque:4211:6678957,6632963:pet_opaque:4211:6679224,6633862:pet_opaque:4211:6635'}, {'unwanted_material': 'pet_opaque', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.006625372408584668, 'nb_photo': 447, 'list_port_cont': '6600927,6602060,6604867,6606114,6609165,6613073,6615618,6618507,6620186,6620865,6621897,6626785,6628362,6634254,6635389,6637069,6637443,6638357,6639233,6641563,6646016,6647330,6649289,6649475,6649908,6653440,6654682,6655700,6658472,6662384,6665186,6669577,6670052,6672606,6674518,6683671,6684478,6686802,6687225,6687464,6696442,6696817,6698458,6711562,6712277,6712786,6714508,6717607,6719819,6720158,6720206,6720247,6720358,6721243,6722532,6724146,6739282,6740800,6745521,6745789,6750245,6754191,6754564,6759415,6765265,6766702,6767358,6780406,6780528,6780714,6784016,6786843,6788645,6791330,6793704,6795548,6797668,6817665,6821371,6824096,6835190,6840200,6842443,6849228,6851781,6852374,6854530,6859022,6862735,6865768,6866326,6867982,6869259,6874403,6875763,6882730,6886804,6888096,6889498,6895283,6900338,6902503,6904834,6914452,6920753,6921628,6924247', 'assoc_port': '6600538:6600927,6601136:6602060,6604397:6604867,6605689:6606114,6608145:6609165,6612632:6613073,6615365:6615618,6618309:6618507,6620043:6620186,6620439:6620865,6621653:6621897,6626271:6626785,6627944:6628362,6630848:6646016,6631070:6649289,6631186:6634254,6631194:6649908,6631961:6655700,6632583:6662384,6632786:6635389,6632966:6670052,6635673:6637443,6635681:6637069,6637843:6638357,6638774:6639233,6641286:6641563,6646447:6647330,6648940:6649475,6650951:6653440,6654041:6654682,6657889:6658472,6664429:6665186,6668950:6669577,6671809:6672606,6673895:6674518,6681680:6683671,6683618:6684478,6685440:6720358,6685511:6720206,6686027:6719819,6686041:6720158,6686295:6687464,6686312:6687225,6686325:6686802,6688871:6714508,6690894:6698458,6693641:6696442,6696476:6696817,6710860:6711562,6711680:6712277,6712324:6712786,6716688:6717607,6718843:6720247,6720803:6721243,6722354:6722532,6723892:6724146,6738748:6739282,6740018:6740800,6740709:6745521,6744268:6745789,6748062:6750245,6753406:6754564,6753419:6754191,6759057:6759415,', 'assoc_mat': '6600538:pet_opaque:4200:6600927,6601136:pet_opaque:4200:6602060,6604397:pet_opaque:4200:6604867,6605689:pet_opaque:4200:6606114,6608145:pet_opaque:4200:6609165,6612632:pet_opaque:4200:6613073,6615365:pet_opaque:4200:6615618,6618309:pet_opaque:4200:6618507,6620043:pet_opaque:4200:6620186,6620439:pet_opaque:4200:6620865,6621653:pet_opaque:4200:6621897,6626271:pet_opaque:4200:6626785,6627944:pet_opaque:4200:6628362,6630848:pet_opaque:4200:6646016,6631070:pet_opaque:4200:6649289,6631186:pet_opaque:4200:6634254,6631194:pet_opaque:4200:6649908,6631961:pet_opaque:4200:6655700,6632583:pet_opaque:4200:6662384,6632786:pet_opaque:4200:6635389,6632966:pet_opaque:4200:6670052,6635673:pet_opaque:4200:6637443,6635681:pet_opaque:4200:6637069,6637843:pet_opaque:4200:6638357,6638774:pet_opaque:4200:6639233,6641286:pet_opaque:4200:6641563,6646447:pet_opaque:4200:6647330,6648940:pet_opaque:4200:6649475,6650951:pet_opaque:4200:6653440,6654041:pet_opaque:4200:6654682,6657889:pet_opaque:4200:6658472,6664429:pet_opaque:4200:6665186,'}, {'unwanted_material': 'textiles_sanitaires', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 5.317677982697793e-05, 'nb_photo': 1, 'list_port_cont': '6754069', 'assoc_port': '6753416:6754069', 'assoc_mat': '6753416:textiles_sanitaires:4203:6754069'}, {'unwanted_material': 'textiles_sanitaires', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.00014015295179752374, 'nb_photo': 14, 'list_port_cont': '6608063,6675111,6678967,6709734,6720656,6724749,6725824,6735649,6787860,6791503,6813248,6828520,6855445,10845973', 'assoc_port': '10844012:10845973,6604399:6608063,6630939:6675111,6632877:6678967,6654837:6725824,6663625:6735649,6686021:6855445,6709374:6709734,6720298:6720656,6724591:6724749,6787210:6787860,6790919:6791503,6812962:6813248,6814154:6828520', 'assoc_mat': '10844012:textiles_sanitaires:4211:10845973,6604399:textiles_sanitaires:4211:6608063,6630939:textiles_sanitaires:4211:6675111,6632877:textiles_sanitaires:4211:6678967,6654837:textiles_sanitaires:4211:6725824,6663625:textiles_sanitaires:4211:6735649,6686021:textiles_sanitaires:4211:6855445,6709374:textiles_sanitaires:4211:6709734,6720298:textiles_sanitaires:4211:6720656,6724591:textiles_sanitaires:4211:6724749,6787210:textiles_sanitaires:4211:6787860,6790919:textiles_sanitaires:4211:6791503,6812962:textiles_sanitaires:4211:6813248,6814154:textiles_sanitaires:4211:6828520'})
select count(distinct mtr_photo_id) from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in
                       (select mtr_portfolio_id from MTRPhoto.dashboard_results
                       where dashboard_run_id in(449271,454376,454388,454411,454399,454424,451519,452689,468274,455185,456478,457640,459828,461074,462392,463490,464885,465870,469411,470781,897152,474755,474338,475306,477478,478927,479886));
after get_hostname_from_raspi
 hasthag :  emr
 hasthag that could be used but not yet :  _______carton,background
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______emr' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  jrm
 hasthag that could be used but not yet :  _______papier,background
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______jrm' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  aluminium
 hasthag that could be used but not yet :  _______metal,background
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______aluminium' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  pet_fonce
 hasthag that could be used but not yet :  _______pet_fonce,background
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______pet_fonce' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
 hasthag :  gm
 hasthag that could be used but not yet :  _______papier,background
SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______gm' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038)  and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and  date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month;
after impurety_average_per_hashtag
{'number_of_analysed_photos': ((29394,),), 'unwanted_material_monthly_percentage': ((0.04166288885557681,),), 'material_repartition': (('pet_clair', 11530), ('pehd_pp', 8058), ('pet_fonce', 2026), ('emr', 805), ('ela', 779), ('gm', 319), ('pcnc', 86)), 'material_dict': {'pet_clair': 11530, 'pehd_pp': 8058, 'pet_fonce': 2026, 'autres': 1989}, 'coverage_data': (('2022/08/31/', 0.691297), ('2022/08/30/', 0.653266), ('2022/08/29/', 0.840173), ('2022/08/27/', 1.0), ('2022/08/26/', 0.767143), ('2022/08/25/', 0.354839), ('2022/08/24/', 0.807854), ('2022/08/23/', 0.76), ('2022/08/22/', 0.767742), ('2022/08/20/', 0.138662), ('2022/08/19/', 0.829545), ('2022/08/18/', 0.76544), ('2022/08/17/', 0.765348), ('2022/08/16/', 0.809002), ('2022/08/15/', 0.139015), ('2022/08/13/', 0.777927), ('2022/08/12/', 0.815502), ('2022/08/11/', 0.639485), ('2022/08/10/', 0.820269), ('2022/08/09/', 0.684094), ('2022/08/08/', 0.52381), ('2022/08/06/', 0.376658), ('2022/08/05/', 0.820709), ('2022/08/04/', 0.139015), ('2022/08/03/', 0.4419), ('2022/08/02/', 0.838305), ('2022/08/01/', 0.851022)), 'impurety_average_data': ((datetime.date(2022, 8, 2), 0.014282331762157728, 103), (datetime.date(2022, 8, 3), 0.03494206677880239, 211), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.04557840319999026, 54), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.02268268592206632, 320), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.029592761588569258, 277), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.02985658365132344, 351), (datetime.date(2022, 8, 24), 0.02890717923269598, 369), (datetime.date(2022, 8, 25), 0.02964405365672207, 385), (datetime.date(2022, 8, 26), 0.027188360813364603, 209), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.023942954543620824, 233), (datetime.date(2022, 8, 30), 0.03176500481166622, 362), (datetime.date(2022, 8, 31), 0.024400799858355637, 340)), 'impurety_average_data_per_hashtag': {'emr': ((datetime.date(2022, 8, 2), 0.014497225753743103, 90), (datetime.date(2022, 8, 3), 0.035407726190541, 201), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.051389769677544335, 43), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.022808792662868328, 304), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.03144342737311807, 238), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.030080632780942033, 330), (datetime.date(2022, 8, 24), 0.029230789634089597, 345), (datetime.date(2022, 8, 25), 0.029901630015503007, 357), (datetime.date(2022, 8, 26), 0.028097448563616227, 175), (datetime.date(2022, 8, 29), 0.03005524006484819, 165), (datetime.date(2022, 8, 30), 0.03263495327830263, 307), (datetime.date(2022, 8, 31), 0.02525588399363416, 301)), 'jrm': ((datetime.date(2022, 8, 2), 0.012085072487249132, 13), (datetime.date(2022, 8, 19), 0.010114825333022708, 10), (datetime.date(2022, 8, 23), 0.024498907798673017, 5), (datetime.date(2022, 8, 26), 0.0052974707656706635, 12), (datetime.date(2022, 8, 29), 0.0180872193641313, 5), (datetime.date(2022, 8, 30), 0.012309361035885383, 18), (datetime.date(2022, 8, 31), 0.0, 30)), 'aluminium': ((datetime.date(2022, 8, 3), 0.0029466085982426723, 10), (datetime.date(2022, 8, 6), 0.0, 11), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.0027249051959917212, 35), (datetime.date(2022, 8, 30), 0.0, 5)), 'pet_fonce': ((datetime.date(2022, 8, 9), 0.01691330253037371, 16), (datetime.date(2022, 8, 19), 0.01514668242834379, 6), (datetime.date(2022, 8, 29), 0.0, 6)), 'gm': ((datetime.date(2022, 8, 19), 0.0036688743500458555, 23), (datetime.date(2022, 8, 23), 2.7541150063779214e-07, 16), (datetime.date(2022, 8, 24), 0.009998135847154843, 24), (datetime.date(2022, 8, 25), 0.007110951820118182, 28), (datetime.date(2022, 8, 26), 0.0026635914561474365, 22), (datetime.date(2022, 8, 29), 0.005845156606103965, 22), (datetime.date(2022, 8, 30), 0.01774597693816732, 32), (datetime.date(2022, 8, 31), 0.04037847154938461, 9))}, 'quality_array': [['7.002742885641196', '01082022'], ['7.276538764582762', '02082022'], ['7.489191991610414', '03082022'], ['7.1515808570282635', '04082022'], ['7.481548146738859', '05082022'], ['7.304119764213931', '06082022'], ['7.180322525692267', '08082022'], ['6.878113539107664', '09082022'], ['7.100998473868195', '10082022'], ['7.303181417036363', '11082022'], ['6.929539513848952', '12082022'], ['6.949887273916412', '13082022'], ['6.952864344290567', '15082022'], ['6.946439599449299', '16082022'], ['8.200164971876198', '17082022'], ['7.414826551741067', '18082022'], ['7.567049552876916', '19082022'], ['8.275572615180698', '22082022'], ['8.683058890962057', '23082022'], ['9.447587725285345', '24082022'], ['9.907266828738836', '25082022'], ['9.398694081509628', '26082022'], ['3.699836545530341', '28082022'], ['9.278913980706943', '29082022'], ['9.808918378829057', '30082022'], ['12.679394134058633', '31082022']], 'number_of_batch': ((325,),), 'datou_id_sts': 3980, 'map_hashtag_number_mat': {'hash_to_mat_nb': ({'unwanted_material': 'autre', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.025985557831013643, 'nb_photo': 16651, 'list_port_cont': '6601211,6601249,6601319,6601376,6601558,6601691,6601783,6601837,6602312,6603611,6603837,6603984,6604939,6606283,6606361,6607127,6607396,6607889,6608318,6608592,6608684,6608960,6609911,6610060,6610278,6610907,6611078,6613725,6614148,6615899,6616064,6616199,6616975,6617461,6617846,6618177,6618947,6620505,6620992,6621119,6621146,6621174,6621388,6621447,6621537,6622105,6622162,6622311,6622378,6622426,6622514,6622647,6622758,6626372,6626974,6626997,6627200,6627837,6628024,6628557,6628624,6629354,6629396,6635806,6635864,6635897,6635947,6635974,6636029,6636109,6636139,6636295,6636316,6636423,6636599,6636674,6636727,6636791,6637048,6637689,6637708,6637756,6637854,6637954,6637974,6638095,6638421,6638597,6638696,6638833,6638947,6638968,6639187,6639299,6639353,6639652,6639761,6639844,6639904,6639965,6640123,6640725,6640745,6640776,6640959,6641209,6641306,6641333,6641484,6641521,6641655,6641820,6641954,6642026,6642079,6642285,6643237,6643372,6643479,6643603,6643631,6643664,6643695,6643718,6643895,6644078,6644458,6644663,', 'assoc_port': '6600535:6601249,6600537:6601691,6600543:6601211,6600545:6601376,6600547:6601558,6600550:6601783,6600553:6601319,6601140:6602312,6601199:6601837,6602727:6603837,6602729:6603984,6602732:6603611,6604400:6604939,6604702:6606361,6605500:6606283,6605502:6607127,6606682:6608318,6606685:6607889,6606687:6607396,6607836:6608592,6607838:6608684,6608144:6608960,6609197:6610060,6609198:6609911,6609963:6610278,6610497:6611078,6610499:6610907,6612953:6613725,6613333:6614148,6614966:6616199,6614968:6616064,6615360:6615899,6616171:6616975,6616960:6618177,6616966:6617461,6616967:6617846,6618310:6618947,6620036:6620505,6620039:6621388,6620042:6620992,6620404:6621146,6620441:6621447,6620445:6621174,6620446:6621537,6620449:6621119,6621639:6622647,6621642:6622758,6621645:6622514,6621650:6622378,6621652:6622426,6621655:6622162,6621656:6622105,6621661:6622311,6625901:6626372,6626270:6626974,6626272:6626997,6626275:6627200,6627097:6627837,6627099:6628024,6627946:6628557,6627948:6628624,6628988:6629354,6628991:6629396,6630847:6635947,', 'assoc_mat': '6600535:autre:3327:6601249,6600537:autre:3327:6601691,6600543:autre:3327:6601211,6600545:autre:3327:6601376,6600547:autre:3327:6601558,6600550:autre:3327:6601783,6600553:autre:3327:6601319,6601140:autre:3327:6602312,6601199:autre:3327:6601837,6602727:autre:3327:6603837,6602729:autre:3327:6603984,6602732:autre:3327:6603611,6604400:autre:3327:6604939,6604702:autre:3327:6606361,6605500:autre:3327:6606283,6605502:autre:3327:6607127,6606682:autre:3327:6608318,6606685:autre:3327:6607889,6606687:autre:3327:6607396,6607836:autre:3327:6608592,6607838:autre:3327:6608684,6608144:autre:3327:6608960,6609197:autre:3327:6610060,6609198:autre:3327:6609911,6609963:autre:3327:6610278,6610497:autre:3327:6611078,6610499:autre:3327:6610907,6612953:autre:3327:6613725,6613333:autre:3327:6614148,6614966:autre:3327:6616199,6614968:autre:3327:6616064,6615360:autre:3327:6615899,6616171:autre:3327:6616975,6616960:autre:3327:6618177,6616966:autre:3327:6617461,6616967:autre:3327:6617846,6618310:autre:3327:6618947,6620036:autre:3327:662050'}, {'unwanted_material': 'barquette_avec_film', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.0050634087913797535, 'nb_photo': 1051, 'list_port_cont': '6601216,6601255,6601316,6601366,6601556,6601694,6601795,6601849,6602314,6603610,6603845,6603981,6604938,6606272,6606380,6607136,6607388,6607885,6608324,6608593,6608675,6608967,6609910,6610048,6610273,6611082,6613721,6614147,6615898,6616193,6616972,6617468,6618176,6618950,6620509,6620988,6621144,6621167,6621391,6621449,6622102,6622163,6622316,6622379,6622436,6622519,6622752,6626364,6626973,6627004,6627197,6627840,6628023,6628564,6628623,6629352,6629394,6635811,6635862,6635901,6635945,6635972,6636036,6636112,6636138,6636318,6636424,6636724,6637044,6637685,6637716,6637764,6637852,6637945,6637984,6638094,6638596,6638700,6638835,6638944,6638974,6639298,6639361,6639645,6639764,6639852,6639896,6639968,6640121,6640722,6640783,6640963,6641211,6641294,6641332,6641486,6641520,6641652,6641944,6642022,6642080,6642290,6643373,6643478,6643608,6643683,6643716,6643902,6644079,6644456,6644652,6645162,6645304,6645766,6647408,6648376,6648805,6649738,6651383,6651686,6654487,6654608,6655045,6655877,6656213,6656668,6659085,6660221,', 'assoc_port': '6600535:6601255,6600537:6601694,6600543:6601216,6600545:6601366,6600547:6601556,6600550:6601795,6600553:6601316,6601140:6602314,6601199:6601849,6602727:6603845,6602729:6603981,6602732:6603610,6604400:6604938,6604702:6606380,6605500:6606272,6605502:6607136,6606682:6608324,6606685:6607885,6606687:6607388,6607836:6608593,6607838:6608675,6608144:6608967,6609197:6610048,6609198:6609910,6609963:6610273,6610497:6611082,6612953:6613721,6613333:6614147,6614966:6616193,6615360:6615898,6616171:6616972,6616960:6618176,6616966:6617468,6618310:6618950,6620036:6620509,6620039:6621391,6620042:6620988,6620404:6621144,6620441:6621449,6620445:6621167,6621642:6622752,6621645:6622519,6621650:6622379,6621652:6622436,6621655:6622163,6621656:6622102,6621661:6622316,6625901:6626364,6626270:6626973,6626272:6627004,6626275:6627197,6627097:6627840,6627099:6628023,6627946:6628564,6627948:6628623,6628988:6629352,6628991:6629394,6630847:6635945,6630849:6636036,6630851:6635972,6630854:6637685,6630934:6637764,6630936:6637716,6630938:6638094,', 'assoc_mat': '6600535:barquette_avec_film:3327:6601255,6600537:barquette_avec_film:3327:6601694,6600543:barquette_avec_film:3327:6601216,6600545:barquette_avec_film:3327:6601366,6600547:barquette_avec_film:3327:6601556,6600550:barquette_avec_film:3327:6601795,6600553:barquette_avec_film:3327:6601316,6601140:barquette_avec_film:3327:6602314,6601199:barquette_avec_film:3327:6601849,6602727:barquette_avec_film:3327:6603845,6602729:barquette_avec_film:3327:6603981,6602732:barquette_avec_film:3327:6603610,6604400:barquette_avec_film:3327:6604938,6604702:barquette_avec_film:3327:6606380,6605500:barquette_avec_film:3327:6606272,6605502:barquette_avec_film:3327:6607136,6606682:barquette_avec_film:3327:6608324,6606685:barquette_avec_film:3327:6607885,6606687:barquette_avec_film:3327:6607388,6607836:barquette_avec_film:3327:6608593,6607838:barquette_avec_film:3327:6608675,6608144:barquette_avec_film:3327:6608967,6609197:barquette_avec_film:3327:6610048,6609198:barquette_avec_film:3327:6609910,6609963:barquette_avec_film:3327:6610273'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0006065490165070008, 'nb_photo': 9, 'list_port_cont': '6603426,6627334,6634749,6723417,6780640,6834099,6852168', 'assoc_port': '6602731:6603426,6626721:6627334,6630937:6634749,6671808:6834099,6722813:6723417,6780026:6780640,6851650:6852168', 'assoc_mat': '6602731:barquette_opaque:4203:6603426,6626721:barquette_opaque:4203:6627334,6630937:barquette_opaque:4203:6634749,6671808:barquette_opaque:4203:6834099,6722813:barquette_opaque:4203:6723417,6780026:barquette_opaque:4203:6780640,6851650:barquette_opaque:4203:6852168'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0005293780694215035, 'nb_photo': 1, 'list_port_cont': '6692906', 'assoc_port': '6691778:6692906', 'assoc_mat': '6691778:barquette_opaque:4209:6692906'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.008662761320534096, 'nb_photo': 659, 'list_port_cont': '6600860,6600903,6601023,6601433,6602273,6602593,6603403,6606082,6607689,6608069,6608289,6609462,6610653,6614532,6615427,6615792,6616525,6618779,6618922,6620328,6621053,6621664,6621960,6622002,6622135,6622199,6624057,6626607,6627268,6628481,6629183,6629252,6634382,6635139,6638289,6638441,6640989,6642058,6642706,6650155,6650276,6650959,6658495,6664041,6668175,6669610,6672035,6674014,6674549,6674630,6674772,6675081,6675105,6675139,6675482,6676524,6677132,6677217,6678042,6678216,6678577,6678660,6678688,6678769,6678960,6678988,6681252,6687138,6692292,6693194,6693681,6693891,6694045,6694217,6694420,6698421,6698805,6699377,6699427,6700669,6707231,6711232,6711409,6711495,6712142,6713437,6713607,6713753,6714397,6716562,6717498,6717555,6718025,6719023,6719736,6720660,6720723,6721143,6721925,6722677,6723045,6723102,6724740,6724912,6724973,6725830,6729866,6730263,6730718,6731855,6732324,6732440,6735375,6738136,6740197,6740602,6741090,6741939,6743256,6743597,6743876,6745278,6747827,6751581,6751678,6751683,6752336,6754140,', 'assoc_port': '10844008:10846065,10844009:10845784,10844011:10845552,10844012:10845981,10844014:10845176,10844016:10845161,10844017:10845129,10844018:10844946,10844019:10845048,10844020:10844679,12107427:12108055,12107429:12107821,6600536:6601433,6600544:6600860,6600546:6601023,6600551:6600903,6601138:6602593,6601649:6602273,6602733:6603403,6604399:6608069,6605499:6610653,6605688:6606082,6606683:6607689,6607839:6608289,6609199:6609462,6614199:6614532,6614969:6615427,6615362:6615792,6616173:6616525,6618307:6618779,6618311:6618922,6620040:6620328,6620422:6621664,6620444:6621053,6621638:6624057,6621647:6622199,6621651:6622135,6621654:6621960,6621659:6622002,6626268:6626607,6627098:6627268,6627945:6628481,6628987:6629183,6628989:6629252,6630852:6674014,6630932:6674630,6630935:6674772,6630939:6675105,6631065:6675081,6631069:6675482,6631193:6635139,6631477:6676524,6631489:6677132,6631492:6677217,6631967:6634382,6632585:6678216,6632660:6678577,6632663:6678660,6632714:6678769,6632787:6678688,6632877:6678960,6632881:6678988,6635669:', 'assoc_mat': 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'assoc_mat': '6600545:pet_fonce:3327:6601378,6600553:pet_fonce:3327:6601312,6601140:pet_fonce:3327:6602302,6604400:pet_fonce:3327:6604937,6606685:pet_fonce:3327:6607897,6606687:pet_fonce:3327:6607386,6609197:pet_fonce:3327:6610056,6609198:pet_fonce:3327:6609918,6613333:pet_fonce:3327:6614156,6614966:pet_fonce:3327:6616198,6616966:pet_fonce:3327:6617469,6618310:pet_fonce:3327:6618949,6620445:pet_fonce:3327:6621166,6620446:pet_fonce:3327:6621524,6621645:pet_fonce:3327:6622523,6621652:pet_fonce:3327:6622432,6621655:pet_fonce:3327:6622171,6621661:pet_fonce:3327:6622318,6626272:pet_fonce:3327:6627007,6626275:pet_fonce:3327:6627194,6627099:pet_fonce:3327:6628022,6627946:pet_fonce:3327:6628558,6627948:pet_fonce:3327:6628620,6628988:pet_fonce:3327:6629360,6628991:pet_fonce:3327:6629385,6631066:pet_fonce:3327:6641660,6631073:pet_fonce:3327:6639649,6631075:pet_fonce:3327:6639963,6631076:pet_fonce:3327:6639360,6631185:pet_fonce:3327:6638951,6631476:pet_fonce:3327:6640116,6631964:pet_fonce:3327:6642088,6632584:pet_fonce:3327:6645758,6'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.9433959349191054, 'nb_photo': 1865, 'list_port_cont': '6600921,6602052,6604879,6606107,6609173,6613064,6615625,6618497,6620185,6620862,6621905,6626786,6628358,6634244,6635391,6637070,6637445,6638364,6639248,6641566,6646009,6647335,6649279,6649476,6649915,6653441,6654686,6655703,6658466,6662391,6665191,6669589,6670061,6672609,6674517,6683670,6684465,6686804,6687227,6687466,6696439,6696818,6698462,6711554,6712271,6712775,6714495,6717596,6719814,6720150,6720211,6720250,6720367,6721247,6722527,6724149,6739286,6740801,6745519,6745787,6750252,6754190,6754558,6759425,6765276,6766699,6767360,6780401,6780523,6780723,6784025,6786849,6788646,6791336,6793695,6795539,6797667,6813921,6817652,6821383,6824097,6835196,6836551,6840207,6842434,6849224,6851782,6852366,6854523,6859029,6862727,6865773,6866335,6867976,6869266,6874407,6875753,6875975,6882723,6886803,6888103,6889495,6895281,6900334,6902509,6904835,6914448,6920755,6921623,6924260', 'assoc_port': '6600538:6600921,6601136:6602052,6604397:6604879,6605689:6606107,6608145:6609173,6612632:6613064,6615365:6615625,6618309:6618497,6620043:6620185,6620439:6620862,6621653:6621905,6626271:6626786,6627944:6628358,6630848:6646009,6631070:6649279,6631186:6634244,6631194:6649915,6631961:6655703,6632583:6662391,6632786:6635391,6632966:6670061,6635673:6637445,6635681:6637070,6637843:6638364,6638774:6639248,6641286:6641566,6646447:6647335,6648940:6649476,6650951:6653441,6654041:6654686,6657889:6658466,6664429:6665191,6668950:6669589,6671809:6672609,6673895:6674517,6681680:6683670,6683618:6684465,6685440:6720367,6685511:6720211,6686027:6719814,6686041:6720150,6686295:6687466,6686312:6687227,6686325:6686804,6688871:6714495,6690894:6698462,6693641:6696439,6696476:6696818,6710860:6711554,6711680:6712271,6712324:6712775,6716688:6717596,6718843:6720250,6720803:6721247,6722354:6722527,6723892:6724149,6738748:6739286,6740018:6740801,6740709:6745519,6744268:6745787,6748062:6750252,6753406:6754558,6753419:6754190,6759057:6759425,', 'assoc_mat': '6600538:pet_fonce:4200:6600921,6601136:pet_fonce:4200:6602052,6604397:pet_fonce:4200:6604879,6605689:pet_fonce:4200:6606107,6608145:pet_fonce:4200:6609173,6612632:pet_fonce:4200:6613064,6615365:pet_fonce:4200:6615625,6618309:pet_fonce:4200:6618497,6620043:pet_fonce:4200:6620185,6620439:pet_fonce:4200:6620862,6621653:pet_fonce:4200:6621905,6626271:pet_fonce:4200:6626786,6627944:pet_fonce:4200:6628358,6630848:pet_fonce:4200:6646009,6631070:pet_fonce:4200:6649279,6631186:pet_fonce:4200:6634244,6631194:pet_fonce:4200:6649915,6631961:pet_fonce:4200:6655703,6632583:pet_fonce:4200:6662391,6632786:pet_fonce:4200:6635391,6632966:pet_fonce:4200:6670061,6635673:pet_fonce:4200:6637445,6635681:pet_fonce:4200:6637070,6637843:pet_fonce:4200:6638364,6638774:pet_fonce:4200:6639248,6641286:pet_fonce:4200:6641566,6646447:pet_fonce:4200:6647335,6648940:pet_fonce:4200:6649476,6650951:pet_fonce:4200:6653441,6654041:pet_fonce:4200:6654686,6657889:pet_fonce:4200:6658466,6664429:pet_fonce:4200:6665191,6668950:pet_fonce:4200:6669589,6'}, {'unwanted_material': 'pet_opaque', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0009264502462378221, 'nb_photo': 9, 'list_port_cont': '6608814,6660097,6712722,6735145,6799275,6808109,6869931', 'assoc_port': '6608146:6608814,6632879:6660097,6685476:6799275,6690887:6735145,6712332:6712722,6786466:6808109,6869544:6869931', 'assoc_mat': '6608146:pet_opaque:4203:6608814,6632879:pet_opaque:4203:6660097,6685476:pet_opaque:4203:6799275,6690887:pet_opaque:4203:6735145,6712332:pet_opaque:4203:6712722,6786466:pet_opaque:4203:6808109,6869544:pet_opaque:4203:6869931'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.007255625347838711, 'nb_photo': 19, 'list_port_cont': '6616740,6617521,6620419,6621938,6627043,6638500,6668139,6668209,6670564,6670896,6678093,6740485,6791207', 'assoc_port': '6616168:6616740,6616963:6617521,6620037:6620419,6621646:6621938,6626722:6627043,6631190:6668139,6631196:6668209,6632661:6670564,6632883:6670896,6638162:6638500,6677866:6678093,6740030:6740485,6790915:6791207', 'assoc_mat': '6616168:pet_opaque:4209:6616740,6616963:pet_opaque:4209:6617521,6620037:pet_opaque:4209:6620419,6621646:pet_opaque:4209:6621938,6626722:pet_opaque:4209:6627043,6631190:pet_opaque:4209:6668139,6631196:pet_opaque:4209:6668209,6632661:pet_opaque:4209:6670564,6632883:pet_opaque:4209:6670896,6638162:pet_opaque:4209:6638500,6677866:pet_opaque:4209:6678093,6740030:pet_opaque:4209:6740485,6790915:pet_opaque:4209:6791207'}, {'unwanted_material': 'pet_opaque', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.0016345171833525593, 'nb_photo': 222, 'list_port_cont': '6600901,6602283,6603013,6606069,6608294,6610401,6610657,6611146,6614528,6615400,6621062,6621675,6621998,6622129,6622205,6626613,6629184,6629244,6634651,6635837,6638286,6639164,6650157,6668179,6669616,6672038,6674023,6674634,6674773,6675099,6675136,6677119,6677811,6678215,6678578,6678957,6679224,6681250,6691510,6691659,6693900,6694213,6694417,6698434,6698768,6698799,6699430,6711411,6711493,6712146,6712497,6712754,6713439,6716561,6717501,6717546,6718028,6719452,6720657,6720722,6724914,6725690,6725833,6728841,6729870,6730329,6730727,6731863,6732437,6735376,6738126,6740205,6740607,6741938,6743382,6745286,6751579,6751673,6754142,6754990,6755968,6756060,6756975,6762171,6763524,6767274,6768410,6773018,6774679,6775056,6778932,6780264,6780486,6783061,6791499,6793831,6794248,6794400,6795572,6796823,6799103,6799441,6799779,6800492,6800530,6801272,6801402,6806174,6808133,6808682,6808713,6808832,6808873,6809086,6810005,6815419,6822330,6839899,6842610,6853846,6855228,6855448,6863478,6866679,6869888,6870654,6875922,6890225,', 'assoc_port': '10844011:10845551,10844021:10844440,6600551:6600901,6601649:6602283,6602728:6603013,6605499:6610657,6605688:6606069,6607835:6610401,6607839:6608294,6610992:6611146,6614199:6614528,6614967:6615400,6620422:6621675,6620444:6621062,6621647:6622205,6621651:6622129,6621659:6621998,6626268:6626613,6628987:6629184,6628989:6629244,6630852:6674023,6630856:6634651,6630932:6674634,6630935:6674773,6630939:6675099,6631489:6677119,6631960:6677811,6632585:6678215,6632660:6678578,6632877:6678957,6632963:6679224,6633862:6635837,6635671:6693900,6635682:6694213,6637236:6698768,6637845:6638286,6638776:6639164,6640595:6806174,6647215:6717546,6648944:6650157,6653523:6725690,6654038:6724914,6654837:6725833,6655426:6728841,6656895:6729870,6657891:6731863,6666361:6668179,6668952:6751579,6668953:6669616,6671805:6756060,6671810:6672038,6672701:6755968,6674723:6675136,6681005:6681250,6683620:6691510,6685431:6799103,6685494:6799441,6685525:6799779,6686006:6855228,6686021:6855448,6686094:6800530,6686269:6800492,6686302:6801272,6686308:6801', 'assoc_mat': '10844011:pet_opaque:4211:10845551,10844021:pet_opaque:4211:10844440,6600551:pet_opaque:4211:6600901,6601649:pet_opaque:4211:6602283,6602728:pet_opaque:4211:6603013,6605499:pet_opaque:4211:6610657,6605688:pet_opaque:4211:6606069,6607835:pet_opaque:4211:6610401,6607839:pet_opaque:4211:6608294,6610992:pet_opaque:4211:6611146,6614199:pet_opaque:4211:6614528,6614967:pet_opaque:4211:6615400,6620422:pet_opaque:4211:6621675,6620444:pet_opaque:4211:6621062,6621647:pet_opaque:4211:6622205,6621651:pet_opaque:4211:6622129,6621659:pet_opaque:4211:6621998,6626268:pet_opaque:4211:6626613,6628987:pet_opaque:4211:6629184,6628989:pet_opaque:4211:6629244,6630852:pet_opaque:4211:6674023,6630856:pet_opaque:4211:6634651,6630932:pet_opaque:4211:6674634,6630935:pet_opaque:4211:6674773,6630939:pet_opaque:4211:6675099,6631489:pet_opaque:4211:6677119,6631960:pet_opaque:4211:6677811,6632585:pet_opaque:4211:6678215,6632660:pet_opaque:4211:6678578,6632877:pet_opaque:4211:6678957,6632963:pet_opaque:4211:6679224,6633862:pet_opaque:4211:6635'}, {'unwanted_material': 'pet_opaque', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.006625372408584668, 'nb_photo': 447, 'list_port_cont': '6600927,6602060,6604867,6606114,6609165,6613073,6615618,6618507,6620186,6620865,6621897,6626785,6628362,6634254,6635389,6637069,6637443,6638357,6639233,6641563,6646016,6647330,6649289,6649475,6649908,6653440,6654682,6655700,6658472,6662384,6665186,6669577,6670052,6672606,6674518,6683671,6684478,6686802,6687225,6687464,6696442,6696817,6698458,6711562,6712277,6712786,6714508,6717607,6719819,6720158,6720206,6720247,6720358,6721243,6722532,6724146,6739282,6740800,6745521,6745789,6750245,6754191,6754564,6759415,6765265,6766702,6767358,6780406,6780528,6780714,6784016,6786843,6788645,6791330,6793704,6795548,6797668,6817665,6821371,6824096,6835190,6840200,6842443,6849228,6851781,6852374,6854530,6859022,6862735,6865768,6866326,6867982,6869259,6874403,6875763,6882730,6886804,6888096,6889498,6895283,6900338,6902503,6904834,6914452,6920753,6921628,6924247', 'assoc_port': '6600538:6600927,6601136:6602060,6604397:6604867,6605689:6606114,6608145:6609165,6612632:6613073,6615365:6615618,6618309:6618507,6620043:6620186,6620439:6620865,6621653:6621897,6626271:6626785,6627944:6628362,6630848:6646016,6631070:6649289,6631186:6634254,6631194:6649908,6631961:6655700,6632583:6662384,6632786:6635389,6632966:6670052,6635673:6637443,6635681:6637069,6637843:6638357,6638774:6639233,6641286:6641563,6646447:6647330,6648940:6649475,6650951:6653440,6654041:6654682,6657889:6658472,6664429:6665186,6668950:6669577,6671809:6672606,6673895:6674518,6681680:6683671,6683618:6684478,6685440:6720358,6685511:6720206,6686027:6719819,6686041:6720158,6686295:6687464,6686312:6687225,6686325:6686802,6688871:6714508,6690894:6698458,6693641:6696442,6696476:6696817,6710860:6711562,6711680:6712277,6712324:6712786,6716688:6717607,6718843:6720247,6720803:6721243,6722354:6722532,6723892:6724146,6738748:6739282,6740018:6740800,6740709:6745521,6744268:6745789,6748062:6750245,6753406:6754564,6753419:6754191,6759057:6759415,', 'assoc_mat': '6600538:pet_opaque:4200:6600927,6601136:pet_opaque:4200:6602060,6604397:pet_opaque:4200:6604867,6605689:pet_opaque:4200:6606114,6608145:pet_opaque:4200:6609165,6612632:pet_opaque:4200:6613073,6615365:pet_opaque:4200:6615618,6618309:pet_opaque:4200:6618507,6620043:pet_opaque:4200:6620186,6620439:pet_opaque:4200:6620865,6621653:pet_opaque:4200:6621897,6626271:pet_opaque:4200:6626785,6627944:pet_opaque:4200:6628362,6630848:pet_opaque:4200:6646016,6631070:pet_opaque:4200:6649289,6631186:pet_opaque:4200:6634254,6631194:pet_opaque:4200:6649908,6631961:pet_opaque:4200:6655700,6632583:pet_opaque:4200:6662384,6632786:pet_opaque:4200:6635389,6632966:pet_opaque:4200:6670052,6635673:pet_opaque:4200:6637443,6635681:pet_opaque:4200:6637069,6637843:pet_opaque:4200:6638357,6638774:pet_opaque:4200:6639233,6641286:pet_opaque:4200:6641563,6646447:pet_opaque:4200:6647330,6648940:pet_opaque:4200:6649475,6650951:pet_opaque:4200:6653440,6654041:pet_opaque:4200:6654682,6657889:pet_opaque:4200:6658472,6664429:pet_opaque:4200:6665186,'}, {'unwanted_material': 'textiles_sanitaires', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 5.317677982697793e-05, 'nb_photo': 1, 'list_port_cont': '6754069', 'assoc_port': '6753416:6754069', 'assoc_mat': '6753416:textiles_sanitaires:4203:6754069'}, {'unwanted_material': 'textiles_sanitaires', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.00014015295179752374, 'nb_photo': 14, 'list_port_cont': '6608063,6675111,6678967,6709734,6720656,6724749,6725824,6735649,6787860,6791503,6813248,6828520,6855445,10845973', 'assoc_port': '10844012:10845973,6604399:6608063,6630939:6675111,6632877:6678967,6654837:6725824,6663625:6735649,6686021:6855445,6709374:6709734,6720298:6720656,6724591:6724749,6787210:6787860,6790919:6791503,6812962:6813248,6814154:6828520', 'assoc_mat': '10844012:textiles_sanitaires:4211:10845973,6604399:textiles_sanitaires:4211:6608063,6630939:textiles_sanitaires:4211:6675111,6632877:textiles_sanitaires:4211:6678967,6654837:textiles_sanitaires:4211:6725824,6663625:textiles_sanitaires:4211:6735649,6686021:textiles_sanitaires:4211:6855445,6709374:textiles_sanitaires:4211:6709734,6720298:textiles_sanitaires:4211:6720656,6724591:textiles_sanitaires:4211:6724749,6787210:textiles_sanitaires:4211:6787860,6790919:textiles_sanitaires:4211:6791503,6812962:textiles_sanitaires:4211:6813248,6814154:textiles_sanitaires:4211:6828520'}), 'main_stat': {'nb_photos': 29394}}, 'hostname': (('raspi-64',),), 'impurety_average_per_hashtag': [(('emr', '2022-08', 0.03139712425437559),), (('jrm', '2022-08', 0.00838254816722681),), (('aluminium', '2022-08', 0.006832126052700646),), (('pet_fonce', '2022-08', 0.012910461966287217),), (('gm', '2022-08', 0.009116560536537937),)]}

############################### TEST csv  ################################
Removing /home/admin/workarea/git/Velours/python/prod/memo/sla_csv
 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done !
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
TODO : Insert select and so on
SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_1";
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3980
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3980
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3980
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
{"input_values":[]}
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3994
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3994
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3994
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used !
Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11491 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11490 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11488 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11492 doesn't seem to be define in the database(
WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7
WARNING : type of output 2 of step 11495 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11489 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11575 doesn't seem to be define in the database(
WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None
WARNING : type of output 3 of step 11575 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11491 doesn't seem to be define in the database(
WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18
WARNING : type of input 5 of step 11498 doesn't seem to be define in the database(
WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None
WARNING : type of output 1 of step 11496 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11497 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11492 doesn't seem to be define in the database(
WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'barquette_opaque': 0.7, 'carton': 0.7, 'ela': 0.7, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.7, 'metal': 1.5, 'pehd': 0.7, 'pet_clair': 0.7, 'pet_opaque': 0.7, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.7}, 'ETA': 600}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3993

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3993
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3993
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3993
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11503 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11502 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11500 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11504 doesn't seem to be define in the database(
WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7
WARNING : type of output 2 of step 11507 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11501 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6
WARNING : type of input 2 of step 11576 doesn't seem to be define in the database(
WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None
WARNING : type of output 3 of step 11576 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11503 doesn't seem to be define in the database(
WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18
WARNING : type of input 5 of step 11510 doesn't seem to be define in the database(
WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None
WARNING : type of output 1 of step 11508 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11509 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11504 doesn't seem to be define in the database(
WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4207, 'hashtag_proportion': 'barquette_opaque,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'carton,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3459
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3459
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3459
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11449 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11452 doesn't seem to be define in the database(
WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7
WARNING : type of output 2 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11454 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 3 of step 11453 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11456 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11455 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6
WARNING : type of input 5 of step 11458 doesn't seem to be define in the database(
WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None
WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18
WARNING : type of input 2 of step 11478 doesn't seem to be define in the database(
WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None
WARNING : type of output 3 of step 11478 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11456 doesn't seem to be define in the database(
WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3991
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3991
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3991
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11515 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11514 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11512 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11516 doesn't seem to be define in the database(
WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7
WARNING : type of output 2 of step 11519 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11513 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6
WARNING : type of input 2 of step 11577 doesn't seem to be define in the database(
WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None
WARNING : type of output 3 of step 11577 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11515 doesn't seem to be define in the database(
WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18
WARNING : type of input 5 of step 11522 doesn't seem to be define in the database(
WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None
WARNING : type of output 1 of step 11521 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11520 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11516 doesn't seem to be define in the database(
WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1, 'etiquette': 0.5, 'film_plastique': 0.5, 'kraft': 0.8, 'metal': 2, 'papier': 0.8, 'pehd': 0.8, 'pet_clair': 0.8, 'pet_opaque': 0.8, 'textiles_sanitaires': 0.5, 'pet_fonce': 0.8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3804
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3804
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3804
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition !
Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition !
WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7
WARNING : type of output 2 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11565 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11567 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11563 doesn't seem to be define in the database(
WARNING : type of output 3 of step 11564 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11568 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11566 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of input 2 of step 11563 doesn't seem to be define in the database(
WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11570 doesn't seem to be define in the database(
WARNING : type of output 2 of step 11560 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11569 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6
WARNING : type of input 2 of step 11573 doesn't seem to be define in the database(
WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None
WARNING : type of output 3 of step 11573 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11568 doesn't seem to be define in the database(
WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18
WARNING : type of input 5 of step 11571 doesn't seem to be define in the database(
WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None
WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4322
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4322
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4322
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11981 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11980 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11978 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11982 doesn't seem to be define in the database(
WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7
WARNING : type of output 2 of step 11985 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11979 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6
WARNING : type of input 2 of step 11990 doesn't seem to be define in the database(
WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None
WARNING : type of output 3 of step 11990 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11981 doesn't seem to be define in the database(
WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18
WARNING : type of input 5 of step 11988 doesn't seem to be define in the database(
WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None
WARNING : type of output 1 of step 11987 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11986 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11982 doesn't seem to be define in the database(
WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3995
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3995
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3995
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11527 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11526 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11524 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11528 doesn't seem to be define in the database(
WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7
WARNING : type of output 2 of step 11531 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11525 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6
WARNING : type of input 2 of step 11578 doesn't seem to be define in the database(
WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None
WARNING : type of output 3 of step 11578 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11527 doesn't seem to be define in the database(
WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18
WARNING : type of input 5 of step 11534 doesn't seem to be define in the database(
WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None
WARNING : type of output 1 of step 11533 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11532 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11528 doesn't seem to be define in the database(
WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=4153
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 4153
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=4153
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition !
WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11551 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11550 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11548 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11552 doesn't seem to be define in the database(
WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7
WARNING : type of output 2 of step 11555 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11549 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6
WARNING : type of input 2 of step 11580 doesn't seem to be define in the database(
WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None
WARNING : type of output 3 of step 11580 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11551 doesn't seem to be define in the database(
WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18
WARNING : type of input 5 of step 11558 doesn't seem to be define in the database(
WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None
WARNING : type of output 1 of step 11556 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11557 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11552 doesn't seem to be define in the database(
WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3992
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3992
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3992
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition !
WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition !
WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition !
Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used !
Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 11539 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11538 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 2 of step 11536 doesn't seem to be define in the database(
WARNING : type of input 2 of step 11540 doesn't seem to be define in the database(
WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6
WARNING : type of input 2 of step 11579 doesn't seem to be define in the database(
WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None
WARNING : type of output 3 of step 11579 doesn't seem to be define in the database(
WARNING : type of input 1 of step 11539 doesn't seem to be define in the database(
WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18
WARNING : type of input 5 of step 11546 doesn't seem to be define in the database(
WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None
WARNING : type of output 1 of step 11545 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : type of output 1 of step 11544 doesn't seem to be define in the database(
WARNING : type of input 3 of step 11540 doesn't seem to be define in the database(
WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 1.5, 'ela': 1.5, 'etiquette': 1, 'film_plastique': 1, 'kraft': 1, 'papier': 1, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1.5, 'pet_fonce': 1.5}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3318

SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output,
mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt
WHERE mtdt.`id`=mtd.`type`
AND mtd.mtd_id=3318
 
SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type
FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt
WHERE mtd.`type`=msid.`mtr_datou_step_type`
AND mtd.mtd_id= 3318
AND msid.data_type=mdsdt.id
                    

SELECT mts_id_output, id_output, mts_id_input, id_input 
FROM MTRDatou.mtr_datou_step_by_step 
WHERE mtd_id=3318
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
All sons are already in current list !
 DONE and to test : checkNoCycle !
Here we check the consistency of inputs/outputs number between the given ones and the db !
eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering !
WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition !
Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition !
WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition !
WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition !
Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs !
Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used !
WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition !
Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs !
Number of inputs / outputs for each step checked !
Here we check the consistency of outputs/inputs types during steps connections
eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput !
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of output 1 of step 7935 doesn't seem to be define in the database(
WARNING : type of input 3 of step 7934 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : type of input 1 of step 7935 doesn't seem to be define in the database(
WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 2 of step 8092 doesn't seem to be define in the database(
WARNING : type of output 3 of step 8092 doesn't seem to be define in the database(
WARNING : type of input 1 of step 7933 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10917 doesn't seem to be define in the database(
WARNING : type of output 2 of step 7928 doesn't seem to be define in the database(
WARNING : type of input 1 of step 10918 doesn't seem to be define in the database(
We ignore checkConsistencyTypeOutputInput for datou_step final !
WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6
WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18
WARNING : type of output 1 of step 13649 doesn't seem to be define in the database(
WARNING : type of input 5 of step 10916 doesn't seem to be define in the database(
DataTypes for each output/input checked !
{"input_values":[]}
Unexpected error treated as WARNING for now expected given param in final step
{'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3594, 'hashtag_proportion': 'papier,carton,metal,pet_clair,autre,pehd,pet_fonce', 'hashtag_parmi': 'refus,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}}
Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier 
create_report_from_API() got an unexpected keyword argument 'outfolder'
ERROR csv FAILED
[('memo', 'SUCCESS', True), ('one_day', 'SUCCESS', True), ('get_data', 'SUCCESS', True), ('csv', 'FAILURE', False)]
 res_total : False

#&_#_#&_# TEST memo SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST one_day SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST get_data SUCCEEDED #&_#_#&_#

#&_#_#&_# TEST csv FAILED #&_#_#&_#


#&_# TEST FAILED #&_# : prod/memo/memo #&_# 


/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"memo": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','sla_mensuel','memo');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"one_day": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','sla_mensuel','one_day');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"get_data": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','sla_mensuel','get_data');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a
SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, result_bool, lien , test_group ,test_name) VALUES ('python_test3','1','marlene','refs/heads/master_3bb8fc9eb89f6e73213a93d2f1429765ec1e113a','{"csv": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/February/26022025/python_test3//data_2/data_log/job/2025/February/26022025/python_test3/log-python3----short_python3--v--marlene-15:35:00.txt','sla_mensuel','csv');

#&_# END OF TEST #&_# : prod/memo/memo #&_# 




/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/../../tools/../lib/rpn/proposal_layer.py:28: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
  layer_params = yaml.load(self.param_str_)
/usr/lib/python3/dist-packages/paramiko/transport.py:220: CryptographyDeprecationWarning: Blowfish has been deprecated
  "class": algorithms.Blowfish,
#######all_test_python_finish######
insert result in bdd : 
Test are not running on charlot, the path should be tested !
/data_2/data_log/job/2025/February/26022025/python_test3/output_tests_python-1645.html
new path :  /proc/3116993/
198.19user 124.67system 1:10:37elapsed 7%CPU (0avgtext+0avgdata 6126328maxresident)k
10350304inputs+940936outputs (72284major+12008986minor)pagefaults 0swaps