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 : 10774

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 : 0.15644121170043945
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
Sat Feb  1 21:35:28 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 : 10774  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
2025-02-01 21:35:31.480999: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-02-01 21:35:31.507457: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493020000 Hz
2025-02-01 21:35:31.509016: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7efb3c000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-02-01 21:35:31.509086: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-02-01 21:35:31.511696: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-02-01 21:35:31.725270: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1866f390 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-02-01 21:35:31.725307: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-02-01 21:35:31.726221: 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
2025-02-01 21:35:31.726509: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-01 21:35:31.731864: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-01 21:35:31.734084: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-01 21:35:31.734428: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-01 21:35:31.737123: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-01 21:35:31.738214: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-01 21:35:31.743006: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-01 21:35:31.744533: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-01 21:35:31.744618: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-01 21:35:31.745357: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-01 21:35:31.745373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-01 21:35:31.745382: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-01 21:35:31.746661: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9985 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
2025-02-01 21:35:32.282991: 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
2025-02-01 21:35:32.283069: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-01 21:35:32.283091: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-01 21:35:32.283112: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-01 21:35:32.283131: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-01 21:35:32.283151: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-01 21:35:32.283182: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-01 21:35:32.283203: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-01 21:35:32.284894: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-01 21:35:32.286185: 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
2025-02-01 21:35:32.286219: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-01 21:35:32.286237: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-01 21:35:32.286255: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-01 21:35:32.286271: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-01 21:35:32.286288: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-01 21:35:32.286305: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-01 21:35:32.286322: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-01 21:35:32.287894: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-01 21:35:32.287926: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-01 21:35:32.287937: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-01 21:35:32.287947: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-01 21:35:32.289659: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9985 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 : 
[]
2025-02-01 21:35:38.984744: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-01 21:35:39.150333: 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: (480, 640, 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:  640.00000
nb d'objets trouves : 5
Detection mask done !
Trying to reset tf kernel
1556362
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 5485
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 : 10774
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 : 0.0005156993865966797
nb_pixel_total : 15552
time to create 1 rle with old method : 0.018265247344970703
length of segment :  256
time for calcul the mask position with numpy : 0.002613544464111328
nb_pixel_total : 145335
time to create 1 rle with old method : 0.15312576293945312
length of segment :  371
time for calcul the mask position with numpy : 0.00020933151245117188
nb_pixel_total : 14253
time to create 1 rle with old method : 0.015538692474365234
length of segment :  151
time for calcul the mask position with numpy : 0.00010180473327636719
nb_pixel_total : 5613
time to create 1 rle with old method : 0.006571292877197266
length of segment :  48
time for calcul the mask position with numpy : 5.054473876953125e-05
nb_pixel_total : 1824
time to create 1 rle with old method : 0.0023136138916015625
length of segment :  39

time spent for convertir_results : 0.9679586887359619

time spend for datou_step_exec : 16.905802249908447
time spend to save output : 4.1961669921875e-05
total time spend for step 1 : 16.90584421157837

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 3260 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 : 0.01736307144165039

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {'957285035': [[(957285035, 492601069, 445, 0, 186, 22, 282, 0.99548006, [(140, 26, 6), (135, 27, 15), (133, 28, 18), (131, 29, 22), (126, 30, 28), (10, 31, 1), (120, 31, 35), (8, 32, 13), (27, 32, 3), (115, 32, 41), (7, 33, 52), (109, 33, 48), (6, 34, 70), (103, 34, 55), (5, 35, 154), (4, 36, 155), (3, 37, 156), (3, 38, 156), (3, 39, 156), (2, 40, 157), (2, 41, 157), (2, 42, 157), (2, 43, 157), (2, 44, 157), (2, 45, 157), (1, 46, 158), (1, 47, 158), (1, 48, 158), (1, 49, 157), (1, 50, 157), (1, 51, 156), (1, 52, 156), (1, 53, 155), (1, 54, 154), (1, 55, 152), (1, 56, 149), (1, 57, 145), (1, 58, 141), (1, 59, 136), (1, 60, 133), (1, 61, 130), (1, 62, 127), (1, 63, 126), (1, 64, 124), (1, 65, 123), (1, 66, 121), (1, 67, 120), (1, 68, 118), (1, 69, 117), (1, 70, 116), (1, 71, 115), (1, 72, 114), (1, 73, 113), (1, 74, 112), (1, 75, 111), (1, 76, 110), (1, 77, 108), (1, 78, 108), (1, 79, 107), (1, 80, 106), (1, 81, 105), (2, 82, 104), (2, 83, 103), (2, 84, 103), (2, 85, 102), (2, 86, 102), (2, 87, 101), (2, 88, 100), (2, 89, 99), (2, 90, 99), (2, 91, 98), (2, 92, 97), (2, 93, 96), (2, 94, 95), (2, 95, 93), (2, 96, 91), (2, 97, 90), (2, 98, 89), (2, 99, 87), (2, 100, 86), (2, 101, 86), (2, 102, 85), (2, 103, 84), (2, 104, 83), (2, 105, 83), (2, 106, 82), (2, 107, 81), (2, 108, 80), (2, 109, 80), (2, 110, 79), (2, 111, 78), (2, 112, 77), (2, 113, 76), (1, 114, 76), (1, 115, 75), (1, 116, 74), (1, 117, 73), (1, 118, 72), (1, 119, 71), (1, 120, 71), (1, 121, 70), (1, 122, 69), (1, 123, 69), (1, 124, 68), (1, 125, 68), (1, 126, 67), (1, 127, 67), (1, 128, 66), (1, 129, 66), (1, 130, 66), (1, 131, 65), (1, 132, 65), (1, 133, 64), (1, 134, 63), (1, 135, 63), (1, 136, 62), (1, 137, 61), (1, 138, 60), (1, 139, 60), (1, 140, 59), (1, 141, 58), (1, 142, 58), (1, 143, 57), (1, 144, 56), (1, 145, 56), (1, 146, 55), (1, 147, 54), (1, 148, 54), (1, 149, 53), (1, 150, 52), (1, 151, 52), (1, 152, 51), (1, 153, 50), (1, 154, 49), (1, 155, 48), (1, 156, 47), (1, 157, 46), (1, 158, 45), (1, 159, 45), (1, 160, 44), (1, 161, 43), (1, 162, 42), (1, 163, 41), (1, 164, 41), (1, 165, 40), (1, 166, 40), (1, 167, 39), (1, 168, 38), (1, 169, 37), (1, 170, 36), (1, 171, 35), (1, 172, 34), (1, 173, 34), (1, 174, 33), (1, 175, 33), (1, 176, 32), (1, 177, 32), (1, 178, 32), (1, 179, 32), (1, 180, 31), (1, 181, 31), (1, 182, 31), (1, 183, 30), (1, 184, 30), (1, 185, 30), (1, 186, 29), (1, 187, 29), (1, 188, 29), (1, 189, 28), (1, 190, 28), (1, 191, 27), (1, 192, 27), (1, 193, 26), (1, 194, 26), (1, 195, 26), (1, 196, 26), (1, 197, 26), (1, 198, 26), (1, 199, 26), (1, 200, 25), (1, 201, 25), (1, 202, 25), (1, 203, 25), (1, 204, 25), (1, 205, 25), (1, 206, 25), (1, 207, 25), (1, 208, 25), (1, 209, 25), (1, 210, 25), (1, 211, 25), (1, 212, 25), (1, 213, 25), (1, 214, 25), (1, 215, 25), (1, 216, 25), (1, 217, 25), (1, 218, 25), (1, 219, 25), (1, 220, 24), (1, 221, 24), (1, 222, 24), (1, 223, 24), (1, 224, 24), (1, 225, 24), (1, 226, 25), (1, 227, 25), (1, 228, 25), (2, 229, 24), (2, 230, 24), (2, 231, 24), (2, 232, 23), (2, 233, 23), (2, 234, 23), (2, 235, 23), (2, 236, 23), (2, 237, 23), (2, 238, 23), (2, 239, 23), (2, 240, 23), (2, 241, 23), (2, 242, 23), (2, 243, 23), (2, 244, 23), (2, 245, 23), (2, 246, 23), (2, 247, 23), (2, 248, 23), (2, 249, 24), (2, 250, 24), (2, 251, 23), (2, 252, 23), (2, 253, 23), (2, 254, 23), (2, 255, 23), (2, 256, 23), (2, 257, 23), (2, 258, 23), (2, 259, 23), (2, 260, 23), (2, 261, 23), (3, 262, 22), (3, 263, 22), (3, 264, 22), (3, 265, 22), (4, 266, 21), (4, 267, 21), (5, 268, 20), (5, 269, 20), (6, 270, 19), (7, 271, 17), (8, 272, 16), (8, 273, 16), (9, 274, 13), (11, 275, 9), (15, 276, 2)], ['16,276,8,273,2,261,2,229,1,228,1,114,2,113,2,82,1,81,1,46,3,37,8,32,20,32,21,33,58,33,59,34,75,34,76,35,102,35,114,33,120,31,130,30,135,27,145,26,152,29,158,35,158,48,154,54,141,58,128,61,119,67,105,81,103,86,96,94,89,98,81,109,71,119,65,132,60,138,52,151,45,158,40,166,34,172,29,188,26,193,25,200,25,226,24,232,24,270,23,273']), (957285035, 492601069, 445, 29, 591, 24, 419, 0.9923807, [(315, 37, 25), (272, 38, 86), (253, 39, 130), (238, 40, 151), (199, 41, 196), (189, 42, 213), (180, 43, 238), (175, 44, 250), (172, 45, 257), (169, 46, 265), (166, 47, 274), (162, 48, 284), (159, 49, 294), (157, 50, 304), (155, 51, 311), (153, 52, 317), (151, 53, 323), (149, 54, 330), (148, 55, 334), (146, 56, 337), (144, 57, 341), (142, 58, 344), (140, 59, 347), (138, 60, 350), (136, 61, 353), (134, 62, 356), (132, 63, 358), (130, 64, 361), (128, 65, 364), (126, 66, 367), (124, 67, 370), (122, 68, 373), (120, 69, 376), (118, 70, 379), (117, 71, 381), (115, 72, 385), (114, 73, 387), (113, 74, 389), (112, 75, 391), (112, 76, 393), (111, 77, 395), (110, 78, 397), (109, 79, 399), (109, 80, 400), (108, 81, 402), (107, 82, 404), (107, 83, 404), (106, 84, 406), (105, 85, 408), (105, 86, 409), (104, 87, 410), (104, 88, 411), (103, 89, 413), (102, 90, 415), (101, 91, 417), (100, 92, 420), (98, 93, 423), (97, 94, 426), (96, 95, 428), (94, 96, 431), (93, 97, 433), (92, 98, 435), (91, 99, 437), (90, 100, 439), (89, 101, 441), (89, 102, 441), (89, 103, 442), (89, 104, 443), (89, 105, 444), (89, 106, 444), (89, 107, 445), (89, 108, 446), (89, 109, 447), (89, 110, 448), (89, 111, 449), (89, 112, 450), (89, 113, 451), (89, 114, 453), (89, 115, 454), (89, 116, 455), (88, 117, 456), (88, 118, 457), (87, 119, 459), (87, 120, 459), (86, 121, 461), (85, 122, 462), (85, 123, 463), (84, 124, 464), (84, 125, 465), (83, 126, 466), (82, 127, 468), (82, 128, 468), (81, 129, 470), (80, 130, 471), (78, 131, 473), (76, 132, 476), (75, 133, 477), (73, 134, 480), (71, 135, 482), (70, 136, 484), (68, 137, 486), (67, 138, 488), (65, 139, 490), (64, 140, 492), (63, 141, 493), (61, 142, 496), (60, 143, 497), (59, 144, 499), (58, 145, 501), (58, 146, 501), (57, 147, 503), (57, 148, 504), (56, 149, 506), (56, 150, 507), (56, 151, 507), (55, 152, 509), (55, 153, 510), (54, 154, 511), (54, 155, 512), (54, 156, 513), (53, 157, 514), (53, 158, 514), (52, 159, 515), (52, 160, 516), (51, 161, 517), (51, 162, 517), (51, 163, 517), (50, 164, 518), (50, 165, 518), (49, 166, 519), (49, 167, 520), (48, 168, 521), (48, 169, 521), (47, 170, 522), (47, 171, 522), (46, 172, 523), (46, 173, 523), (46, 174, 523), (45, 175, 524), (45, 176, 523), (44, 177, 524), (44, 178, 524), (44, 179, 524), (43, 180, 525), (43, 181, 525), (42, 182, 525), (42, 183, 525), (42, 184, 525), (41, 185, 526), (41, 186, 526), (40, 187, 526), (39, 188, 526), (39, 189, 525), (38, 190, 526), (38, 191, 525), (37, 192, 525), (37, 193, 523), (36, 194, 523), (36, 195, 523), (36, 196, 522), (35, 197, 522), (35, 198, 521), (34, 199, 521), (34, 200, 521), (34, 201, 520), (34, 202, 520), (34, 203, 520), (34, 204, 519), (34, 205, 519), (33, 206, 520), (33, 207, 519), (33, 208, 519), (33, 209, 519), (33, 210, 518), (33, 211, 518), (33, 212, 518), (33, 213, 517), (32, 214, 518), (32, 215, 517), (32, 216, 517), (32, 217, 516), (32, 218, 515), (32, 219, 514), (32, 220, 513), (32, 221, 512), (32, 222, 511), (32, 223, 510), (32, 224, 508), (32, 225, 507), (32, 226, 505), (32, 227, 504), (32, 228, 503), (32, 229, 502), (32, 230, 502), (32, 231, 501), (32, 232, 500), (32, 233, 499), (32, 234, 498), (32, 235, 497), (31, 236, 496), (31, 237, 495), (31, 238, 494), (31, 239, 493), (31, 240, 491), (31, 241, 490), (31, 242, 488), (31, 243, 487), (31, 244, 486), (31, 245, 485), (31, 246, 483), (31, 247, 482), (31, 248, 480), (31, 249, 479), (31, 250, 477), (31, 251, 475), (31, 252, 474), (31, 253, 472), (31, 254, 470), (31, 255, 468), (31, 256, 467), (31, 257, 465), (31, 258, 464), (31, 259, 463), (31, 260, 462), (31, 261, 461), (31, 262, 459), (31, 263, 458), (31, 264, 456), (31, 265, 455), (31, 266, 453), (31, 267, 451), (31, 268, 449), (31, 269, 448), (31, 270, 447), (31, 271, 445), (31, 272, 444), (31, 273, 443), (32, 274, 441), (32, 275, 440), (32, 276, 438), (32, 277, 437), (32, 278, 435), (32, 279, 434), (32, 280, 432), (33, 281, 429), (33, 282, 427), (33, 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(127, 345, 272), (129, 346, 269), (132, 347, 266), (135, 348, 262), (137, 349, 259), (141, 350, 255), (143, 351, 252), (145, 352, 250), (147, 353, 247), (149, 354, 245), (151, 355, 242), (152, 356, 241), (154, 357, 239), (156, 358, 237), (159, 359, 233), (161, 360, 231), (163, 361, 229), (165, 362, 227), (167, 363, 224), (169, 364, 222), (170, 365, 221), (172, 366, 219), (173, 367, 218), (174, 368, 216), (175, 369, 215), (177, 370, 213), (178, 371, 212), (180, 372, 209), (183, 373, 206), (185, 374, 204), (188, 375, 200), (191, 376, 197), (194, 377, 193), (196, 378, 191), (199, 379, 188), (201, 380, 185), (203, 381, 183), (205, 382, 180), (207, 383, 178), (208, 384, 176), (210, 385, 174), (212, 386, 171), (213, 387, 169), (215, 388, 166), (218, 389, 162), (221, 390, 158), (225, 391, 153), (228, 392, 149), (232, 393, 144), (235, 394, 140), (238, 395, 136), (241, 396, 133), (245, 397, 128), (248, 398, 124), (252, 399, 119), (257, 400, 113), (263, 401, 105), (272, 402, 94), (283, 403, 82), (296, 404, 66), (306, 405, 53), (313, 406, 38), (321, 407, 23)], ['321,407,305,404,263,401,215,388,193,376,178,371,168,363,110,336,90,330,77,323,56,316,39,299,31,273,31,236,34,199,42,184,58,145,79,131,89,116,89,101,104,88,115,72,159,49,180,43,199,41,237,41,272,38,339,37,382,39,402,43,417,43,481,55,504,76,543,116,556,143,566,156,568,167,566,186,554,199,548,216,528,235,509,249,448,291,420,309,407,327,403,339,392,355,383,385,369,400,358,405']), (957285035, 492601069, 445, 485, 636, 23, 174, 0.971134, [(540, 24, 21), (626, 24, 3), (531, 25, 49), (594, 25, 40), (527, 26, 107), (523, 27, 111), (520, 28, 114), (518, 29, 117), (516, 30, 119), (515, 31, 120), (513, 32, 122), (512, 33, 123), (510, 34, 125), (509, 35, 126), (507, 36, 128), (506, 37, 129), (504, 38, 131), (503, 39, 132), (501, 40, 134), (500, 41, 135), (499, 42, 136), (498, 43, 137), (497, 44, 138), (496, 45, 139), (496, 46, 139), (495, 47, 140), (495, 48, 140), (494, 49, 141), (493, 50, 142), (492, 51, 143), (491, 52, 144), (491, 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['598,172,591,172,590,171,578,168,573,164,573,162,568,152,568,149,566,145,566,136,565,132,561,125,560,121,556,116,547,109,543,108,536,104,531,99,527,97,491,62,490,54,495,48,496,45,502,40,516,30,523,27,526,27,531,25,539,25,540,24,560,24,561,25,579,25,580,26,593,26,594,25,633,25,634,29,634,56,635,57,635,111,634,112,634,129,632,134,629,138,623,141,619,145,617,149,611,155,608,161']), (957285035, 492601069, 445, 280, 481, 2, 55, 0.82985085, [(292, 3, 128), (284, 4, 146), (282, 5, 151), (281, 6, 154), (281, 7, 156), (281, 8, 157), (281, 9, 158), (281, 10, 160), (281, 11, 162), (281, 12, 165), (281, 13, 167), (281, 14, 169), (281, 15, 171), (281, 16, 173), (281, 17, 174), (281, 18, 175), (281, 19, 177), (281, 20, 178), (281, 21, 179), (281, 22, 180), (281, 23, 181), (281, 24, 182), (281, 25, 183), (281, 26, 184), (281, 27, 185), (281, 28, 185), (281, 29, 185), (282, 30, 185), (283, 31, 27), (337, 31, 131), (371, 32, 97), (401, 33, 68), (409, 34, 61), (419, 35, 52), (424, 36, 48), (429, 37, 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free memory after detection : 
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 10479

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

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 : 0.21114706993103027
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
Sat Feb  1 21:35:47 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
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 : 10231  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-02-01 21:35:50.288093: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-02-01 21:35:50.315574: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493020000 Hz
2025-02-01 21:35:50.317654: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7efb40000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-02-01 21:35:50.317715: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-02-01 21:35:50.321570: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-02-01 21:35:50.447840: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x18f22850 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-02-01 21:35:50.447888: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-02-01 21:35:50.449258: 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
2025-02-01 21:35:50.449672: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-01 21:35:50.452587: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-01 21:35:50.455728: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-01 21:35:50.456254: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-01 21:35:50.458928: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-01 21:35:50.460272: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-01 21:35:50.465538: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-01 21:35:50.467368: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-01 21:35:50.467469: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-01 21:35:50.468395: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-01 21:35:50.468411: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-01 21:35:50.468420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-01 21:35:50.469718: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9234 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.

2025-02-01 21:35:50.548811: 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
2025-02-01 21:35:50.548991: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-01 21:35:50.549020: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-01 21:35:50.549042: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-01 21:35:50.549063: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-01 21:35:50.549083: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-01 21:35:50.549103: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-01 21:35:50.549123: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-01 21:35:50.550687: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-01 21:35:50.552119: 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
2025-02-01 21:35:50.552172: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-01 21:35:50.552192: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-01 21:35:50.552212: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-01 21:35:50.552231: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-01 21:35:50.552250: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-01 21:35:50.552269: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-01 21:35:50.552288: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-01 21:35:50.553769: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-01 21:35:50.553810: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-01 21:35:50.553821: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-01 21:35:50.553830: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-01 21:35:50.555402: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9234 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 : 
[]
2025-02-01 21:35:57.441795: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-01 21:35:57.655137: 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
1557113
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 5485
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 : 10774
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 : 0.0006570816040039062
nb_pixel_total : 16902
time to create 1 rle with old method : 0.022496938705444336
length of segment :  107
time for calcul the mask position with numpy : 0.44952821731567383
nb_pixel_total : 480731
time to create 1 rle with new method : 0.032438039779663086
length of segment :  632
time for calcul the mask position with numpy : 0.0007605552673339844
nb_pixel_total : 36640
time to create 1 rle with old method : 0.04057478904724121
length of segment :  133
time for calcul the mask position with numpy : 9.632110595703125e-05
nb_pixel_total : 4794
time to create 1 rle with old method : 0.005428791046142578
length of segment :  51

time spent for convertir_results : 0.7356014251708984

time spend for datou_step_exec : 16.281989812850952
time spend to save output : 5.936622619628906e-05
total time spend for step 1 : 16.28204917907715

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 395 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 : 0.012470722198486328

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, 0.99883693, [(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, 0.9977508, [(710, 22, 23), (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), (560, 30, 480), (556, 31, 486), (550, 32, 495), (544, 33, 503), (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), (488, 47, 590), (487, 48, 592), (485, 49, 595), (483, 50, 598), (482, 51, 600), (481, 52, 602), (480, 53, 603), (479, 54, 605), (478, 55, 606), (476, 56, 608), (475, 57, 610), (474, 58, 611), (473, 59, 613), (472, 60, 614), (470, 61, 616), (469, 62, 618), (468, 63, 619), (466, 64, 621), (465, 65, 623), (464, 66, 624), (462, 67, 626), (461, 68, 628), (459, 69, 630), (458, 70, 631), (456, 71, 633), (455, 72, 635), (453, 73, 637), (452, 74, 638), (451, 75, 639), (450, 76, 640), (448, 77, 642), (447, 78, 643), (446, 79, 644), (445, 80, 645), (444, 81, 646), (442, 82, 648), (441, 83, 649), (440, 84, 650), (439, 85, 651), (438, 86, 652), (437, 87, 653), (436, 88, 654), (435, 89, 655), (434, 90, 656), (433, 91, 657), (432, 92, 658), (431, 93, 659), (430, 94, 660), (429, 95, 661), (428, 96, 662), (427, 97, 663), (425, 98, 665), (423, 99, 667), (422, 100, 668), (419, 101, 671), (417, 102, 673), (414, 103, 676), (410, 104, 680), (406, 105, 684), (401, 106, 689), (397, 107, 693), (392, 108, 698), (387, 109, 703), (382, 110, 708), (377, 111, 713), (373, 112, 717), (369, 113, 721), (365, 114, 725), (362, 115, 728), (359, 116, 731), (356, 117, 734), (353, 118, 737), (351, 119, 739), (349, 120, 741), (346, 121, 744), (344, 122, 746), (342, 123, 748), (338, 124, 752), (335, 125, 755), (331, 126, 759), (327, 127, 763), (323, 128, 767), (319, 129, 770), (314, 130, 775), (308, 131, 781), (303, 132, 786), (294, 133, 795), (287, 134, 802), (279, 135, 810), (273, 136, 816), (267, 137, 822), (262, 138, 827), (258, 139, 831), (255, 140, 834), (252, 141, 837), (250, 142, 839), (247, 143, 842), (245, 144, 844), (242, 145, 847), (240, 146, 849), (237, 147, 852), (233, 148, 856), (230, 149, 859), (226, 150, 863), (220, 151, 869), (213, 152, 876), (206, 153, 883), (200, 154, 889), (193, 155, 896), (187, 156, 902), (183, 157, 906), (181, 158, 908), (178, 159, 911), (176, 160, 913), (174, 161, 915), (172, 162, 917), (170, 163, 919), (168, 164, 921), (166, 165, 923), (165, 166, 924), (164, 167, 925), (162, 168, 927), (161, 169, 928), (159, 170, 930), (157, 171, 932), (155, 172, 934), (153, 173, 935), (151, 174, 937), (148, 175, 940), (146, 176, 942), (144, 177, 944), (142, 178, 946), (140, 179, 948), (139, 180, 949), (137, 181, 951), (136, 182, 952), (134, 183, 954), (133, 184, 955), (132, 185, 956), (131, 186, 957), (130, 187, 958), (129, 188, 959), (128, 189, 960), (127, 190, 960), (126, 191, 961), (126, 192, 961), (125, 193, 962), (124, 194, 963), (123, 195, 964), (122, 196, 965), (122, 197, 965), (121, 198, 966), (120, 199, 967), (119, 200, 968), (118, 201, 969), (117, 202, 970), (116, 203, 971), (114, 204, 973), (113, 205, 973), (112, 206, 974), (111, 207, 975), (109, 208, 977), (108, 209, 978), (107, 210, 979), (106, 211, 980), (105, 212, 981), (104, 213, 982), (103, 214, 983), (102, 215, 984), (101, 216, 985), (101, 217, 984), (100, 218, 985), (100, 219, 985), (99, 220, 986), (98, 221, 987), (98, 222, 987), (97, 223, 988), (97, 224, 987), (96, 225, 988), (96, 226, 988), (95, 227, 989), (95, 228, 989), (94, 229, 990), (94, 230, 990), (94, 231, 990), 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['526,649,416,642,368,634,322,620,243,590,223,578,186,566,102,509,91,496,70,447,62,379,65,329,85,269,91,237,101,216,134,183,187,156,225,151,252,141,341,124,365,114,405,106,426,98,442,82,493,45,527,36,608,23,754,24,893,24,925,22,996,23,1032,27,1066,41,1082,52,1089,72,1088,172,1082,237,1045,305,1002,338,950,373,885,432,865,446,851,473,822,505,810,528,786,554,772,586,740,612,683,638,606,649']), (917855882, 492601069, 445, 0, 440, 0, 116, 0.99195004, [(127, 1, 141), (94, 2, 206), (384, 2, 2), (59, 3, 272), (340, 3, 57), (22, 4, 381), (19, 5, 387), (16, 6, 392), (15, 7, 394), (14, 8, 396), (14, 9, 397), (13, 10, 399), (12, 11, 400), (12, 12, 400), (11, 13, 402), (10, 14, 403), (11, 15, 403), (11, 16, 404), (12, 17, 403), (12, 18, 404), (12, 19, 405), (12, 20, 405), (12, 21, 406), (12, 22, 406), (12, 23, 407), (12, 24, 407), (12, 25, 408), (12, 26, 408), (12, 27, 408), (12, 28, 408), (12, 29, 409), (12, 30, 409), (12, 31, 409), (12, 32, 409), (12, 33, 409), (12, 34, 410), (12, 35, 410), (12, 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91, 57), (299, 91, 103), (6, 92, 54), (300, 92, 102), (6, 93, 50), (301, 93, 100), (7, 94, 46), (303, 94, 97), (7, 95, 44), (306, 95, 92), (7, 96, 42), (308, 96, 89), (7, 97, 40), (310, 97, 86), (7, 98, 38), (312, 98, 83), (8, 99, 34), (314, 99, 79), (8, 100, 32), (317, 100, 75), (8, 101, 29), (319, 101, 71), (13, 102, 19), (324, 102, 63), (20, 103, 6), (330, 103, 51), (337, 104, 37), (344, 105, 22), (352, 106, 3)], ['344,105,319,101,301,93,291,85,259,85,244,90,205,90,204,89,177,89,176,88,142,86,141,85,125,86,98,86,84,85,56,92,36,101,26,102,8,101,6,92,11,80,11,59,12,58,12,17,10,14,16,6,22,4,58,4,59,3,93,3,94,2,126,2,127,1,267,1,268,2,299,2,300,3,396,3,407,6,419,25,421,34,421,51,410,62,404,71,402,80,404,85,401,92,394,98,386,102,365,105']), (917855882, 492601069, 445, 390, 550, 0, 54, 0.9391176, [(414, 0, 7), (441, 0, 60), (508, 0, 28), (402, 1, 142), (401, 2, 146), (402, 3, 145), (404, 4, 143), (406, 5, 140), (408, 6, 137), (410, 7, 134), (411, 8, 132), (412, 9, 130), (413, 10, 127), 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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 : 0.15160036087036133
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
Sat Feb  1 21:36:05 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
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 : 10774  max_wait_temp :  1 max_wait :  0
 gpu_flag :  0
2025-02-01 21:36:08.021865: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2025-02-01 21:36:08.047719: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493020000 Hz
2025-02-01 21:36:08.049297: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7efb40000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2025-02-01 21:36:08.049320: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2025-02-01 21:36:08.052176: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2025-02-01 21:36:08.307681: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1954a9e0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-02-01 21:36:08.307730: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5
2025-02-01 21:36:08.308539: 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
2025-02-01 21:36:08.308881: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-01 21:36:08.311040: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-01 21:36:08.313249: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-01 21:36:08.313578: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-01 21:36:08.315885: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-01 21:36:08.316953: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-01 21:36:08.321546: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-01 21:36:08.322990: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-01 21:36:08.323074: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-01 21:36:08.323869: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-01 21:36:08.323888: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-01 21:36:08.323898: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-01 21:36:08.325232: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9985 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.

2025-02-01 21:36:08.399486: 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
2025-02-01 21:36:08.399610: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-01 21:36:08.399629: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-01 21:36:08.399646: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-01 21:36:08.399662: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-01 21:36:08.399677: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-01 21:36:08.399693: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-01 21:36:08.399709: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-01 21:36:08.400902: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-01 21:36:08.402047: 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
2025-02-01 21:36:08.402094: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2025-02-01 21:36:08.402112: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-01 21:36:08.402128: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2025-02-01 21:36:08.402144: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2025-02-01 21:36:08.402161: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2025-02-01 21:36:08.402177: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2025-02-01 21:36:08.402193: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2025-02-01 21:36:08.403430: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2025-02-01 21:36:08.403467: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-02-01 21:36:08.403476: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0 
2025-02-01 21:36:08.403484: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N 
2025-02-01 21:36:08.404791: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9985 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 : 
[]
2025-02-01 21:36:16.468342: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2025-02-01 21:36:16.616425: 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: (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
1557930
begin to check gpu status 
inside check gpu memory
l 3610 free memory gpu now : 5485
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 : 10774
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 : 0.4431464672088623
nb_pixel_total : 3690048
time to create 1 rle with new method : 0.2709660530090332
length of segment :  2039

time spent for convertir_results : 1.464752197265625

time spend for datou_step_exec : 18.306923151016235
time spend to save output : 2.765655517578125e-05
total time spend for step 1 : 18.30695080757141

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 716 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 : 0.012274980545043945

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, 7, 2264, 122, 2241, 0.9848702, [(523, 124, 443), (1151, 124, 274), (501, 125, 949), (481, 126, 992), (461, 127, 1035), (443, 128, 1095), (427, 129, 1152), (412, 130, 1176), (397, 131, 1200), (383, 132, 1222), (370, 133, 1243), (367, 134, 1253), (364, 135, 1264), (361, 136, 1274), (359, 137, 1282), (356, 138, 1292), (354, 139, 1300), (352, 140, 1308), (349, 141, 1315), (347, 142, 1321), (345, 143, 1328), (343, 144, 1334), (341, 145, 1340), (339, 146, 1345), (338, 147, 1350), (336, 148, 1355), (334, 149, 1361), (332, 150, 1366), (331, 151, 1370), (329, 152, 1376), (328, 153, 1380), (326, 154, 1384), (325, 155, 1388), (323, 156, 1393), (322, 157, 1397), (321, 158, 1400), (319, 159, 1405), (318, 160, 1409), (317, 161, 1412), (316, 162, 1416), (315, 163, 1419), (313, 164, 1424), (312, 165, 1428), (311, 166, 1431), (309, 167, 1435), (308, 168, 1438), (306, 169, 1442), (305, 170, 1446), (303, 171, 1450), (302, 172, 1453), (300, 173, 1458), (298, 174, 1462), (297, 175, 1466), (295, 176, 1470), (293, 177, 1475), (291, 178, 1480), (289, 179, 1485), (287, 180, 1490), (284, 181, 1496), (282, 182, 1501), (279, 183, 1507), (276, 184, 1514), (274, 185, 1519), (271, 186, 1526), (268, 187, 1533), (265, 188, 1540), (263, 189, 1546), (260, 190, 1553), (257, 191, 1560), (254, 192, 1568), (252, 193, 1577), (249, 194, 1586), (246, 195, 1595), (243, 196, 1604), (240, 197, 1614), (238, 198, 1622), (235, 199, 1631), (232, 200, 1640), (229, 201, 1649), (226, 202, 1658), (223, 203, 1666), (220, 204, 1675), (217, 205, 1684), (214, 206, 1689), (211, 207, 1694), (208, 208, 1699), (206, 209, 1703), (204, 210, 1707), (203, 211, 1709), (201, 212, 1713), (199, 213, 1716), (198, 214, 1719), (196, 215, 1722), (195, 216, 1725), (193, 217, 1728), (192, 218, 1730), (190, 219, 1734), (189, 220, 1736), (188, 221, 1738), (186, 222, 1741), (185, 223, 1743), (184, 224, 1745), (183, 225, 1747), (182, 226, 1749), (181, 227, 1751), (179, 228, 1754), (178, 229, 1756), (177, 230, 1758), (176, 231, 1760), (175, 232, 1762), (175, 233, 1763), (174, 234, 1765), (173, 235, 1766), (172, 236, 1768), (171, 237, 1770), (170, 238, 1772), (169, 239, 1773), (168, 240, 1775), (167, 241, 1777), (166, 242, 1779), (165, 243, 1780), (164, 244, 1782), (163, 245, 1784), (162, 246, 1786), (161, 247, 1788), (160, 248, 1790), (159, 249, 1792), (158, 250, 1794), (157, 251, 1796), (156, 252, 1798), (155, 253, 1800), (153, 254, 1803), (152, 255, 1805), (151, 256, 1807), (150, 257, 1809), (148, 258, 1812), (147, 259, 1814), (146, 260, 1817), (144, 261, 1820), (143, 262, 1822), (141, 263, 1826), (140, 264, 1828), (138, 265, 1831), (136, 266, 1835), (135, 267, 1837), (133, 268, 1841), (131, 269, 1845), (130, 270, 1847), (128, 271, 1851), (126, 272, 1855), (125, 273, 1858), (124, 274, 1860), (122, 275, 1864), (121, 276, 1866), (120, 277, 1869), (119, 278, 1871), (117, 279, 1875), (116, 280, 1877), (115, 281, 1880), (114, 282, 1882), (113, 283, 1884), (112, 284, 1886), 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(84, 343, 1958), (84, 344, 1959), (83, 345, 1961), (83, 346, 1962), (83, 347, 1962), (82, 348, 1964), (82, 349, 1965), (82, 350, 1966), (82, 351, 1967), (81, 352, 1969), (81, 353, 1970), (81, 354, 1971), (80, 355, 1973), (80, 356, 1974), (80, 357, 1975), (80, 358, 1976), (79, 359, 1978), (79, 360, 1979), (79, 361, 1980), (78, 362, 1982), (78, 363, 1984), (78, 364, 1985), (77, 365, 1987), (77, 366, 1988), (77, 367, 1989), (76, 368, 1991), (76, 369, 1992), (76, 370, 1993), (76, 371, 1994), (75, 372, 1996), (75, 373, 1997), (75, 374, 1998), (74, 375, 2000), (74, 376, 2001), (74, 377, 2001), (73, 378, 2003), (73, 379, 2004), (73, 380, 2005), (72, 381, 2007), (72, 382, 2007), (72, 383, 2008), (71, 384, 2010), (71, 385, 2010), (71, 386, 2011), (70, 387, 2013), (70, 388, 2013), (70, 389, 2014), (69, 390, 2015), (69, 391, 2016), (69, 392, 2016), (69, 393, 2017), (68, 394, 2018), (68, 395, 2018), (68, 396, 2019), (67, 397, 2020), (67, 398, 2021), (67, 399, 2021), (66, 400, 2023), (66, 401, 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nb pixel non reg : 3692295
nb pixel common : 3683306
proportion of common points : 0.9975654707979725
[('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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"mask_detection": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.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 : 0.24296998977661133
#### 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
Sat Feb  1 21:36:29 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
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738442188_1556235_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094}
map_photo_id_path_extension : {1189321094: {'path': 'temp/1738442188_1556235_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 : 0.0019524097442626953
nb_pixel_total : 5613
time to create 1 rle with old method : 0.0066297054290771484
time for calcul the mask position with numpy : 0.0014560222625732422
nb_pixel_total : 6626
time to create 1 rle with old method : 0.00786733627319336
time for calcul the mask position with numpy : 0.00146484375
nb_pixel_total : 8644
time to create 1 rle with old method : 0.009591817855834961
time for calcul the mask position with numpy : 0.0014753341674804688
nb_pixel_total : 10836
time to create 1 rle with old method : 0.01174473762512207
time for calcul the mask position with numpy : 0.0014524459838867188
nb_pixel_total : 13944
time to create 1 rle with old method : 0.01627373695373535
time for calcul the mask position with numpy : 0.0015172958374023438
nb_pixel_total : 16344
time to create 1 rle with old method : 0.017386436462402344
time for calcul the mask position with numpy : 0.0019161701202392578
nb_pixel_total : 83972
time to create 1 rle with old method : 0.08571600914001465
time for calcul the mask position with numpy : 0.0014164447784423828
nb_pixel_total : 338
time to create 1 rle with old method : 0.0003943443298339844
time for calcul the mask position with numpy : 0.0013129711151123047
nb_pixel_total : 5250
time to create 1 rle with old method : 0.005642890930175781
time for calcul the mask position with numpy : 0.0014154911041259766
nb_pixel_total : 1588
time to create 1 rle with old method : 0.0017850399017333984
time for calcul the mask position with numpy : 0.0014569759368896484
nb_pixel_total : 29487
time to create 1 rle with old method : 0.03166389465332031
time for calcul the mask position with numpy : 0.0014383792877197266
nb_pixel_total : 2936
time to create 1 rle with old method : 0.0035026073455810547
time for calcul the mask position with numpy : 0.001430511474609375
nb_pixel_total : 2727
time to create 1 rle with old method : 0.0031256675720214844
time for calcul the mask position with numpy : 0.0013468265533447266
nb_pixel_total : 3779
time to create 1 rle with old method : 0.004332780838012695
time for calcul the mask position with numpy : 0.0015187263488769531
nb_pixel_total : 12925
time to create 1 rle with old method : 0.013742685317993164
time for calcul the mask position with numpy : 0.0014379024505615234
nb_pixel_total : 27568
time to create 1 rle with old method : 0.02852797508239746
time for calcul the mask position with numpy : 0.001331329345703125
nb_pixel_total : 3095
time to create 1 rle with old method : 0.0034570693969726562
time for calcul the mask position with numpy : 0.0013082027435302734
nb_pixel_total : 4252
time to create 1 rle with old method : 0.004763603210449219
time for calcul the mask position with numpy : 0.0014965534210205078
nb_pixel_total : 14877
time to create 1 rle with old method : 0.01673150062561035
time for calcul the mask position with numpy : 0.0014374256134033203
nb_pixel_total : 4149
time to create 1 rle with old method : 0.0047495365142822266
time for calcul the mask position with numpy : 0.0014224052429199219
nb_pixel_total : 1226
time to create 1 rle with old method : 0.0013628005981445312
time for calcul the mask position with numpy : 0.0013685226440429688
nb_pixel_total : 2375
time to create 1 rle with old method : 0.0025572776794433594
time for calcul the mask position with numpy : 0.001443624496459961
nb_pixel_total : 16339
time to create 1 rle with old method : 0.017139196395874023
time for calcul the mask position with numpy : 0.0013344287872314453
nb_pixel_total : 4160
time to create 1 rle with old method : 0.00482177734375
time for calcul the mask position with numpy : 0.0014147758483886719
nb_pixel_total : 3951
time to create 1 rle with old method : 0.004563570022583008
time for calcul the mask position with numpy : 0.0014166831970214844
nb_pixel_total : 2396
time to create 1 rle with old method : 0.0028493404388427734
time for calcul the mask position with numpy : 0.0015175342559814453
nb_pixel_total : 38563
time to create 1 rle with old method : 0.040941476821899414
time for calcul the mask position with numpy : 0.0014972686767578125
nb_pixel_total : 13091
time to create 1 rle with old method : 0.01438760757446289
time for calcul the mask position with numpy : 0.0013186931610107422
nb_pixel_total : 2078
time to create 1 rle with old method : 0.0022521018981933594
time for calcul the mask position with numpy : 0.001458883285522461
nb_pixel_total : 7612
time to create 1 rle with old method : 0.008104801177978516
time for calcul the mask position with numpy : 0.0013401508331298828
nb_pixel_total : 8434
time to create 1 rle with old method : 0.009271383285522461
time for calcul the mask position with numpy : 0.0014710426330566406
nb_pixel_total : 5523
time to create 1 rle with old method : 0.006303548812866211
time for calcul the mask position with numpy : 0.0014164447784423828
nb_pixel_total : 4273
time to create 1 rle with old method : 0.0051305294036865234
time for calcul the mask position with numpy : 0.0014238357543945312
nb_pixel_total : 331
time to create 1 rle with old method : 0.000431060791015625
time for calcul the mask position with numpy : 0.0014257431030273438
nb_pixel_total : 887
time to create 1 rle with old method : 0.0010988712310791016
time for calcul the mask position with numpy : 0.0014939308166503906
nb_pixel_total : 3854
time to create 1 rle with old method : 0.006598472595214844
time for calcul the mask position with numpy : 0.001580953598022461
nb_pixel_total : 2809
time to create 1 rle with old method : 0.0046844482421875
time for calcul the mask position with numpy : 0.0015957355499267578
nb_pixel_total : 3584
time to create 1 rle with old method : 0.005884647369384766
time for calcul the mask position with numpy : 0.0016450881958007812
nb_pixel_total : 13003
time to create 1 rle with old method : 0.021689414978027344
time for calcul the mask position with numpy : 0.0015940666198730469
nb_pixel_total : 889
time to create 1 rle with old method : 0.0016558170318603516
time for calcul the mask position with numpy : 0.001630544662475586
nb_pixel_total : 9869
time to create 1 rle with old method : 0.016150951385498047
time for calcul the mask position with numpy : 0.0015826225280761719
nb_pixel_total : 1612
time to create 1 rle with old method : 0.0027594566345214844
time for calcul the mask position with numpy : 0.001554727554321289
nb_pixel_total : 248
time to create 1 rle with old method : 0.00048732757568359375
time for calcul the mask position with numpy : 0.0015647411346435547
nb_pixel_total : 2448
time to create 1 rle with old method : 0.0038077831268310547
time for calcul the mask position with numpy : 0.0014319419860839844
nb_pixel_total : 339
time to create 1 rle with old method : 0.0004589557647705078
time for calcul the mask position with numpy : 0.001466512680053711
nb_pixel_total : 10620
time to create 1 rle with old method : 0.011878013610839844
time for calcul the mask position with numpy : 0.001329183578491211
nb_pixel_total : 2419
time to create 1 rle with old method : 0.0027043819427490234
time for calcul the mask position with numpy : 0.0013267993927001953
nb_pixel_total : 1288
time to create 1 rle with old method : 0.0014731884002685547
time for calcul the mask position with numpy : 0.0013301372528076172
nb_pixel_total : 8735
time to create 1 rle with old method : 0.009410381317138672
time for calcul the mask position with numpy : 0.0013747215270996094
nb_pixel_total : 11850
time to create 1 rle with old method : 0.012861251831054688
time for calcul the mask position with numpy : 0.0014312267303466797
nb_pixel_total : 3316
time to create 1 rle with old method : 0.0037794113159179688
time for calcul the mask position with numpy : 0.0013327598571777344
nb_pixel_total : 1028
time to create 1 rle with old method : 0.0011315345764160156
time for calcul the mask position with numpy : 0.0013737678527832031
nb_pixel_total : 16695
time to create 1 rle with old method : 0.019333362579345703
time for calcul the mask position with numpy : 0.0014414787292480469
nb_pixel_total : 692
time to create 1 rle with old method : 0.000881195068359375
time for calcul the mask position with numpy : 0.0013451576232910156
nb_pixel_total : 2332
time to create 1 rle with old method : 0.002745389938354492
time for calcul the mask position with numpy : 0.0014190673828125
nb_pixel_total : 906
time to create 1 rle with old method : 0.0011229515075683594
time for calcul the mask position with numpy : 0.0014319419860839844
nb_pixel_total : 595
time to create 1 rle with old method : 0.0007407665252685547
time for calcul the mask position with numpy : 0.0014257431030273438
nb_pixel_total : 2025
time to create 1 rle with old method : 0.002357959747314453
time for calcul the mask position with numpy : 0.0014271736145019531
nb_pixel_total : 580
time to create 1 rle with old method : 0.0007634162902832031
time for calcul the mask position with numpy : 0.0014226436614990234
nb_pixel_total : 1672
time to create 1 rle with old method : 0.0020210742950439453
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bKxºL �¯�Ý·'¯u8n5 ’ºe,]ñH©–’ÆV¨ŒWwÃ$ùCƒel¹“|zys«™KŠi-ðqÊݬbk,wnGÿâ;¥ ~ÖeÉrÍ’‰ÜÔ~'1`V⦫¹-*[ÉñLÔKÄ'2@Ÿ
ÜþÐ仪 ²n‘Íß2¸N߈ƶµG•¢ói/U¢µ'Eï@¦`H湘;J•�¼¼ÜŽÅ+Jén#»¼‚6Ú´—ĹG•ü¡NÒGð'—Z!öáí¸‰Wi�»NJ @óàšAûÜZ|ª[¨ï$q}i�Ò·µQbtTECproba :  0.117510535
(205.4885, 48.102356, 379.2722, 127.904755)
 proba :  0.043749675
(428.12793, 21.893318, 499.2104, 97.15209)
 proba :  0.017623821
(308.70734, 352.4776, 385.68597, 423.24823)
 proba :  0.012130597
(338.95285, 258.53702, 419.88626, 323.73843)
We are managing local photo_id
image_path : temp/1738442345_1556235_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 0.614s for 300 object proposals
 c : aile-arriere
 list_crops.shape (52, 5)
 proba :  0.02072146
(396.22516, 192.54944, 703.24115, 482.50354)
 proba :  0.013660755
(2606.4846, 1489.7513, 2954.3938, 2131.4158)
 proba :  0.010280395
(2270.1758, 1651.4292, 2706.3857, 2138.8591)
 proba :  0.010019895
(2922.7368, 683.27405, 3263.0, 1188.8896)
 c : aile-avant
 list_crops.shape (55, 5)
 proba :  0.02583084
(2616.207, 1475.3685, 2938.837, 2144.0547)
 c : autre
 list_crops.shape (53, 5)
 proba :  0.013096598
(405.69067, 192.21133, 689.09534, 476.4999)
 c : cache-reservoir
 list_crops.shape (50, 5)
 proba :  0.029480543
(2629.476, 1461.0333, 2954.7144, 2148.8682)
 proba :  0.02454645
(299.21436, 89.51416, 716.6596, 498.3728)
 proba :  0.020118473
(2232.0518, 676.7493, 2590.5283, 1171.2253)
 proba :  0.018791117
(2298.3833, 1682.7993, 2783.6606, 2156.6448)
 proba :  0.012400064
(2317.1362, 1436.058, 2614.483, 1924.9535)
 proba :  0.012135982
(2925.1523, 677.31335, 3258.894, 1209.0398)
 c : capot
 list_crops.shape (44, 5)
 proba :  0.018004978
(2645.993, 973.0525, 3214.7278, 1642.0918)
 proba :  0.016429685
(77.74347, 795.9535, 694.0217, 1481.1332)
 c : carrosserie-autre
 list_crops.shape (45, 5)
 proba :  0.029317522
(251.84851, 0.0, 712.2812, 635.0006)
 proba :  0.0136886295
(2284.6965, 1569.4879, 2687.3665, 2159.0)
 c : coffre
 list_crops.shape (42, 5)
 proba :  0.13923475
(282.99475, 0.0, 631.651, 633.276)
 proba :  0.013912977
(1720.5945, 507.758, 2227.8433, 1191.365)
 c : essuie-glace
 list_crops.shape (56, 5)
 proba :  0.018928936
(320.8799, 110.23363, 600.99756, 462.47583)
 proba :  0.013813228
(2187.5928, 749.45135, 2497.3135, 1214.4569)
 proba :  0.013558777
(2629.3308, 1462.9442, 2950.864, 2139.6697)
 proba :  0.013347876
(74.3909, 721.1918, 391.75043, 1112.9589)
 c : feu-antibrouillard
 list_crops.shape (52, 5)
 proba :  0.060856063
(372.09125, 242.48918, 759.4329, 515.92017)
 proba :  0.01831085
(2928.3843, 694.31836, 3257.6504, 1206.6487)
 proba :  0.018102495
(2299.5388, 1693.8555, 2784.1248, 2158.6946)
 proba :  0.01585544
(2230.369, 698.5365, 2591.1829, 1175.3156)
 proba :  0.014357112
(2630.7507, 1481.0052, 2954.472, 2151.7737)
 proba :  0.011738146
(383.561, 1437.1147, 937.1338, 1845.1226)
 c : feu-arriere
 list_crops.shape (48, 5)
 proba :  0.64671826
(354.84155, 213.3804, 730.1599, 532.05005)
 proba :  0.12032705
(2225.6633, 661.1827, 2605.2307, 1235.9297)
 proba :  0.079428956
(256.1931, 24.231369, 540.2461, 478.10767)
 proba :  0.060707893
(1807.4259, 656.7384, 2155.9102, 1147.3619)
 proba :  0.03355787
(2308.1812, 1667.5681, 2786.7568, 2159.0)
 proba :  0.03226542
(2930.4478, 638.0969, 3237.7651, 1243.1923)
 proba :  0.018551148
(619.9175, 619.2807, 953.74536, 1223.5796)
 proba :  0.017301084
(2630.6853, 1496.9402, 2955.3767, 2159.0)
 proba :  0.016656967
(2317.2388, 1411.1006, 2618.2651, 1961.6926)
 proba :  0.01582228
(770.61597, 939.7241, 1053.5708, 1456.1558)
 proba :  0.010596475
(2489.3965, 424.4825, 2939.107, 1234.4641)
 proba :  0.010266775
(828.05176, 1.924469, 1174.9703, 369.90033)
 proba :  0.010093121
(14.196915, 430.88757, 165.1046, 734.03235)
 c : info-modele
 list_crops.shape (49, 5)
 proba :  0.070101865
(403.72476, 194.20595, 693.0575, 475.89874)
 proba :  0.02220082
(2299.2512, 1684.2491, 2787.1135, 2154.6646)
 proba :  0.019055659
(2232.6108, 682.5281, 2592.751, 1170.8519)
 proba :  0.017022198
(2630.584, 1468.233, 2959.7192, 2151.3667)
 proba :  0.01088238
(1.7525635, 575.7818, 261.91302, 885.70734)
 c : logo-marque
 list_crops.shape (51, 5)
 proba :  0.051885746
(408.4917, 200.24892, 688.2777, 481.55237)
 proba :  0.034075852
(2304.7747, 1690.4373, 2793.887, 2159.0)
 proba :  0.018235462
(2631.4739, 1489.2656, 2967.993, 2159.0)
 proba :  0.01303707
(2236.6914, 683.8882, 2594.6064, 1180.5055)
 proba :  0.011358038
(2319.9646, 1440.412, 2621.387, 1933.8334)
 c : logo-roue
 list_crops.shape (52, 5)
 proba :  0.030218968
(402.7771, 191.05855, 692.7589, 478.26056)
 proba :  0.020898253
(2230.9329, 677.74036, 2592.7332, 1174.0171)
 proba :  0.018398076
(2512.7566, 492.6931, 2833.548, 843.978)
 proba :  0.018071935
(2298.6807, 1681.3494, 2786.0845, 2156.1257)
 proba :  0.013550519
(2610.3735, 558.7994, 3007.5278, 1178.0369)
 proba :  0.01328293
(1762.7936, 675.0963, 2234.7065, 1109.9474)
 proba :  0.012410835
(2317.8047, 1434.3577, 2615.2642, 1928.4221)
 proba :  0.011195594
(2783.597, 1527.4104, 3036.0945, 2077.7378)
 c : pare-brise
 list_crops.shape (46, 5)
 proba :  0.055007584
(2411.5566, 398.80316, 2957.2793, 1171.6301)
 proba :  0.045024913
(2240.3499, 634.8889, 2579.2747, 1217.4537)
 proba :  0.02693108
(1424.8792, 304.91837, 2074.8025, 1161.5839)
 proba :  0.02568629
(312.53925, 97.232834, 605.92377, 472.59607)
 proba :  0.024201576
(2954.8071, 604.7671, 3255.3618, 1264.4796)
 proba :  0.02196296
(2056.8403, 93.76288, 2392.5088, 713.7051)
 proba :  0.020822939
(323.82297, 1090.7197, 787.1582, 1678.9768)
 proba :  0.018579999
(103.61911, 794.4105, 696.2103, 1524.3004)
 proba :  0.017085355
(2701.8604, 949.4107, 3158.2505, 1362.8546)
 proba :  0.011477718
(2240.9023, 3.3515625, 2720.2036, 772.58307)
 proba :  0.010911117
(1694.813, 659.70044, 2162.871, 1116.5911)
 c : pare-choc
 list_crops.shape (38, 5)
 proba :  0.106185906
(347.38425, 1367.4249, 1073.0215, 1857.0458)
 proba :  0.016675748
(1310.4084, 1570.4404, 2576.6304, 2051.2617)
 proba :  0.010993919
(0.0, 545.1164, 997.9505, 1254.1326)
 proba :  0.010148305
(2850.258, 1465.4016, 3233.6594, 2099.7576)
 c : phare
 list_crops.shape (49, 5)
 proba :  0.06945564
(2930.696, 682.55273, 3257.6682, 1220.2446)
 proba :  0.06410089
(310.48303, 118.320984, 715.94446, 508.54303)
 proba :  0.028816056
(324.57867, 1179.3577, 758.8129, 1634.2185)
 proba :  0.013006021
(2226.5737, 695.2324, 2603.4482, 1195.827)
 proba :  0.0112102525
(83.40602, 743.98047, 419.87524, 1117.4838)
 proba :  0.010500519
(2318.0789, 1449.446, 2631.682, 1922.1294)
 c : plaque-immatriculation
 list_crops.shape (55, 5)
 proba :  0.057374224
(399.623, 207.95218, 679.61127, 493.94907)
 proba :  0.045768846
(1744.08, 665.8697, 2221.1519, 1071.6519)
 proba :  0.02389182
(2294.9805, 1697.7488, 2792.1929, 2132.579)
 proba :  0.023448773
(2538.7993, 1521.5767, 2898.875, 2073.3645)
 proba :  0.013998069
(2783.4734, 1564.8821, 3034.8645, 2056.8005)
 proba :  0.013540895
(2245.336, 695.25415, 2573.1753, 1168.449)
 proba :  0.011302113
(2945.9478, 676.90625, 3251.017, 1190.9683)
 c : poignee
 list_crops.shape (48, 5)
 proba :  0.057077426
(2629.511, 1457.6216, 2958.7659, 2152.9858)
 proba :  0.023785923
(2299.0835, 1682.4298, 2785.6084, 2157.393)
 proba :  0.018129978
(2232.1716, 677.8396, 2592.1096, 1173.6017)
 proba :  0.014422415
(403.0199, 191.02107, 692.2715, 478.3769)
 c : porte
 list_crops.shape (42, 5)
 proba :  0.12677105
(2295.5728, 1531.3811, 2685.666, 2159.0)
 proba :  0.044954784
(2857.52, 1450.7168, 3263.0, 2033.0383)
 proba :  0.041262545
(2466.1458, 1663.9293, 3030.2043, 2159.0)
 proba :  0.02828865
(390.1579, 1195.2106, 897.9427, 1796.6554)
 proba :  0.02355279
(1444.5001, 1494.0907, 2537.7642, 2103.852)
 proba :  0.01725704
(311.2957, 15.941193, 609.7031, 659.6078)
 proba :  0.012644141
(2938.5857, 622.99475, 3247.807, 1300.4679)
 c : pot-echappement
 list_crops.shape (49, 5)
 proba :  0.033073522
(2632.8525, 1456.6357, 2954.79, 2152.7073)
 proba :  0.030935124
(2302.4832, 1680.426, 2781.573, 2157.684)
 proba :  0.01597342
(405.30566, 189.97519, 691.1483, 477.743)
 proba :  0.011733509
(67.24074, 695.81934, 394.60675, 1122.9202)
 proba :  0.01140126
(1748.3595, 537.04596, 2217.0142, 1143.0515)
 proba :  0.011032
(2926.548, 674.9829, 3258.5608, 1211.8662)
 c : radiateur
 list_crops.shape (50, 5)
 c : retroviseur
 list_crops.shape (52, 5)
 proba :  0.083658464
(2235.2075, 682.1022, 2591.2178, 1175.4219)
 proba :  0.059490684
(2321.9438, 1443.8916, 2613.5688, 1922.5786)
 proba :  0.043874275
(2937.0781, 682.28455, 3252.6147, 1205.0332)
 proba :  0.042295836
(2632.6514, 1459.1353, 2953.667, 2146.3335)
 proba :  0.034103774
(71.965164, 699.829, 393.33038, 1120.5228)
 proba :  0.03189179
(308.78122, 91.36215, 716.1555, 497.1852)
 proba :  0.025059935
(2306.4949, 1681.2073, 2777.2512, 2150.37)
 proba :  0.019795032
(2394.7395, 1122.3679, 2636.1614, 1534.4619)
 proba :  0.018270878
(2293.4856, 971.51624, 2576.6033, 1378.5844)
 proba :  0.016396757
(2956.3374, 1594.3444, 3251.5361, 2041.8949)
 proba :  0.015730094
(10.903381, 573.5206, 252.97113, 882.5045)
 proba :  0.015468492
(2710.9912, 884.7114, 3001.4238, 1337.1089)
 proba :  0.0140991
(2619.5002, 564.0314, 2997.366, 1174.5238)
 proba :  0.01307859
(162.08084, 998.61365, 907.7927, 1740.6847)
 proba :  0.012849801
(2117.2139, 1467.1353, 2431.4653, 2134.756)
 proba :  0.01218135
(2070.654, 153.22433, 2426.616, 695.5657)
 c : roue
 list_crops.shape (48, 5)
 proba :  0.08210854
(2921.2864, 638.38495, 3254.532, 1258.6885)
 proba :  0.058020025
(2507.5469, 1513.9788, 2926.2505, 2083.4592)
 proba :  0.057295628
(2746.1333, 1692.6144, 3205.8535, 2127.3586)
 proba :  0.03822671
(2267.4546, 1589.3505, 2719.9355, 2144.457)
 proba :  0.029196272
(2521.5872, 448.82562, 3069.1086, 1139.6174)
 proba :  0.026403012
(416.59003, 1400.46, 896.45636, 1839.0635)
 proba :  0.022061316
(258.50836, 30.39679, 777.3847, 579.23413)
 proba :  0.01817158
(269.51337, 1082.4171, 809.211, 1696.9222)
 proba :  0.016244344
(814.9377, 0.0, 1180.146, 343.59164)
 proba :  0.014418419
(1708.7605, 636.11414, 2206.2283, 1093.4104)
 proba :  0.011403659
(2210.2754, 646.7242, 2617.3486, 1202.688)
 c : toit
 list_crops.shape (51, 5)
 c : vitre
 list_crops.shape (47, 5)
 proba :  0.17971663
(2201.5083, 706.0405, 2505.7964, 1225.6167)
 proba :  0.13707297
(2332.196, 1420.2573, 2614.7717, 1932.4578)
 proba :  0.0920759
(2941.3306, 639.2828, 3238.2456, 1233.3074)
 proba :  0.04707357
(321.49008, 101.22571, 604.45105, 480.09656)
 proba :  0.041140605
(2545.224, 540.1459, 2972.1592, 1045.7162)
 proba :  0.03957482
(2362.6414, 1470.2169, 2901.4255, 2152.2368)
 proba :  0.03048536
(2784.1099, 1531.072, 3025.3486, 2079.1038)
 proba :  0.017648164
(1748.7155, 547.44666, 2193.038, 1162.6304)
 proba :  0.0157871
(2879.6497, 1427.401, 3199.2214, 2141.8413)
 proba :  0.010812058
(2403.8997, 706.2643, 2720.5105, 1277.602)
 proba :  0.010704499
(2683.0781, 868.8301, 2997.1719, 1348.8562)
We are managing local photo_id
image_path : temp/1738442345_1556235_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 0.028s for 300 object proposals
 c : aile-arriere
 list_crops.shape (29, 5)
 proba :  0.05210447
(104.29775, 64.89407, 245.01822, 262.59586)
 proba :  0.0114735365
(156.04793, 154.27733, 276.97577, 234.77834)
 proba :  0.0100739645
(133.89275, 191.02946, 199.79439, 262.34726)
 c : aile-avant
 list_crops.shape (30, 5)
 proba :  0.16407418
(93.40188, 110.005714, 261.18268, 244.45554)
 proba :  0.011733359
(153.08722, 215.96107, 224.00305, 288.55365)
 c : autre
 list_crops.shape (31, 5)
 c : cache-reservoir
 list_crops.shape (30, 5)
 proba :  0.016789239
(12.162617, 54.527367, 94.04564, 89.234474)
 c : capot
 list_crops.shape (24, 5)
 proba :  0.1015113
(69.29259, 0.0, 280.00696, 54.91522)
 proba :  0.084602706
(113.758575, 84.135376, 262.9416, 231.19348)
 proba :  0.040667303
(6.7407722, 36.862503, 96.11412, 92.5659)
 c : carrosserie-autre
 list_crops.shape (27, 5)
 c : coffre
 list_crops.shape (23, 5)
 proba :  0.04763645
(53.506577, 0.0, 284.0, 92.37428)
 proba :  0.032659966
(10.160149, 31.720184, 95.703896, 100.61156)
 proba :  0.012153963
(235.39363, 155.04114, 284.0, 216.00635)
 c : essuie-glace
 list_crops.shape (31, 5)
 proba :  0.8094121
(149.0361, 63.964073, 284.0, 87.61448)
 proba :  0.034230806
(13.640999, 56.07083, 92.06977, 89.41589)
 proba :  0.02067986
(234.29468, 175.78938, 284.0, 231.17503)
 c : feu-antibrouillard
 list_crops.shape (33, 5)
 proba :  0.055683702
(27.497046, 50.041313, 86.94726, 89.45695)
 proba :  0.01811198
(229.47133, 178.32149, 279.95242, 220.48741)
 proba :  0.01031719
(206.26375, 260.4634, 253.1187, 293.0)
 c : feu-arriere
 list_crops.shape (34, 5)
 proba :  0.06828961
(27.727873, 49.23957, 86.895226, 88.09208)
 proba :  0.024001736
(231.79918, 177.14142, 279.9734, 219.18536)
 c : info-modele
 list_crops.shape (34, 5)
 proba :  0.015898852
(27.18129, 48.777905, 87.64099, 89.72069)
 c : logo-marque
 list_crops.shape (32, 5)
 proba :  0.010619303
(206.26903, 219.39398, 262.95126, 293.0)
 c : logo-roue
 list_crops.shape (30, 5)
 c : pare-brise
 list_crops.shape (24, 5)
 proba :  0.38034275
(84.45164, 0.0, 284.0, 80.63008)
 proba :  0.06983206
(21.856415, 45.929527, 86.83172, 90.58248)
 proba :  0.010922783
(162.29063, 212.50845, 227.27937, 293.0)
 proba :  0.010167881
(238.71753, 156.778, 284.0, 216.58922)
 c : pare-choc
 list_crops.shape (20, 5)
 proba :  0.15658057
(75.04046, 12.040016, 284.0, 83.46904)
 proba :  0.039187018
(173.62715, 206.89388, 284.0, 287.13092)
 proba :  0.029332194
(3.53508, 39.444973, 99.71043, 103.58801)
 proba :  0.021788532
(236.45926, 158.8265, 284.0, 219.93985)
 c : phare
 list_crops.shape (33, 5)
 proba :  0.29551548
(16.086155, 55.13052, 94.49304, 86.99965)
 proba :  0.017161895
(85.86924, 17.95715, 272.26697, 68.43948)
 proba :  0.013767713
(241.582, 159.23761, 284.0, 213.7453)
 proba :  0.01159679
(207.11038, 255.55403, 262.25885, 293.0)
 c : plaque-immatriculation
 list_crops.shape (38, 5)
 proba :  0.13103296
(235.81297, 174.35086, 284.0, 225.24496)
 proba :  0.03964816
(30.736176, 49.492195, 81.55883, 87.70565)
 c : poignee
 list_crops.shape (27, 5)
 c : porte
 list_crops.shape (24, 5)
 proba :  0.59986115
(23.915985, 0.0, 103.217735, 219.54524)
 proba :  0.028163962
(2.5906029, 0.0, 48.59926, 196.39572)
 proba :  0.01211601
(103.5355, 0.10190582, 235.17102, 252.15659)
 c : pot-echappement
 list_crops.shape (30, 5)
 proba :  0.02131987
(228.95605, 176.46304, 280.03326, 221.27353)
 proba :  0.013256832
(208.9184, 255.16388, 263.81308, 293.0)
 proba :  0.013240482
(26.967588, 48.156235, 87.17849, 89.945724)
 c : radiateur
 list_crops.shape (30, 5)
 c : retroviseur
 list_crops.shape (32, 5)
 proba :  0.037681602
(14.681866, 54.764896, 94.673386, 89.58739)
 proba :  0.012228716
(210.45863, 255.86682, 263.1123, 293.0)
 proba :  0.01014343
(231.2041, 176.61467, 279.58646, 220.07716)
 c : roue
 list_crops.shape (34, 5)
 proba :  0.8120776
(146.79692, 218.47502, 218.13423, 292.0238)
 proba :  0.27982733
(135.77553, 224.5144, 169.61656, 293.0)
 proba :  0.044856165
(29.87766, 37.66494, 91.51679, 83.93811)
 proba :  0.025340982
(7.38591, 0.09303665, 44.25764, 34.964)
 proba :  0.018803028
(234.27403, 172.03378, 277.37122, 219.32547)
 proba :  0.011281157
(206.81818, 251.68806, 258.8718, 293.0)
 c : toit
 list_crops.shape (29, 5)
 c : vitre
 list_crops.shape (32, 5)
 proba :  0.14833716
(152.67233, 220.6102, 208.97382, 293.0)
 proba :  0.03472553
(235.48236, 173.7919, 284.0, 228.10547)
 proba :  0.030397456
(138.02681, 226.15012, 164.9893, 293.0)
 proba :  0.018849606
(18.039429, 51.715317, 93.861084, 87.63721)
We are managing local photo_id
image_path : temp/1738442345_1556235_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 0.027s for 300 object proposals
 c : aile-arriere
 list_crops.shape (29, 5)
 proba :  0.067672454
(98.069786, 150.88127, 151.93925, 223.72258)
 proba :  0.04092431
(33.355164, 90.140656, 179.13026, 182.83969)
 proba :  0.016990785
(79.3555, 122.71609, 111.49986, 230.36487)
 c : aile-avant
 list_crops.shape (31, 5)
 proba :  0.048587713
(43.71487, 17.110527, 139.3225, 207.18182)
 proba :  0.010094388
(62.04115, 104.14569, 183.72345, 182.30673)
 c : autre
 list_crops.shape (32, 5)
 c : cache-reservoir
 list_crops.shape (33, 5)
 c : capot
 list_crops.shape (22, 5)
 proba :  0.09680191
(38.040077, 75.42221, 207.15497, 166.65987)
 c : carrosserie-autre
 list_crops.shape (24, 5)
 c : coffre
 list_crops.shape (21, 5)
 proba :  0.06442425
(165.47453, 115.303986, 226.39961, 165.47821)
 c : essuie-glace
 list_crops.shape (34, 5)
 proba :  0.38577268
(88.26283, 10.877447, 179.57582, 31.351297)
 proba :  0.042398088
(133.0856, 1.8785028, 227.74338, 26.528801)
 proba :  0.024031173
(169.25458, 117.384346, 218.91592, 165.43478)
 proba :  0.010852542
(61.552383, 1.9377546, 117.81862, 33.00375)
 c : feu-antibrouillard
 list_crops.shape (32, 5)
 proba :  0.019599602
(168.92458, 117.953674, 219.53133, 165.85745)
 c : feu-arriere
 list_crops.shape (30, 5)
 proba :  0.022238297
(171.07341, 119.67702, 221.00993, 164.20161)
 c : info-modele
 list_crops.shape (31, 5)
 proba :  0.0102016665
(168.52216, 116.052414, 219.95425, 166.43507)
 c : logo-marque
 list_crops.shape (34, 5)
 proba :  0.015153288
(154.45857, 207.11002, 180.12541, 244.76971)
 c : logo-roue
 list_crops.shape (30, 5)
 c : pare-brise
 list_crops.shape (27, 5)
 proba :  0.04709813
(168.76775, 117.31384, 222.88786, 165.84363)
 proba :  0.013603154
(53.459846, 0.0, 178.91928, 22.403893)
 proba :  0.0121705765
(15.940454, 0.0, 44.896534, 48.293278)
 c : pare-choc
 list_crops.shape (23, 5)
 proba :  0.089831606
(166.06476, 118.15999, 226.8812, 168.71504)
 proba :  0.012229014
(108.19849, 130.85913, 228.0, 249.22583)
 c : phare
 list_crops.shape (37, 5)
 proba :  0.013691199
(172.01454, 118.39711, 223.3084, 162.24141)
 c : plaque-immatriculation
 list_crops.shape (38, 5)
 proba :  0.051214647
(173.59451, 120.67781, 218.52524, 161.78581)
 c : poignee
 list_crops.shape (31, 5)
 c : porte
 list_crops.shape (25, 5)
 proba :  0.039292403
(4.775671, 0.0, 38.137505, 169.70485)
 proba :  0.014842235
(170.32478, 112.39807, 220.70656, 170.46536)
 proba :  0.0134613495
(19.338001, 0.0, 92.45514, 176.18414)
 c : pot-echappement
 list_crops.shape (31, 5)
 proba :  0.021788914
(168.56778, 115.56297, 219.4165, 166.48744)
 proba :  0.016475482
(154.53015, 206.32175, 179.71347, 244.10406)
 c : radiateur
 list_crops.shape (30, 5)
 c : retroviseur
 list_crops.shape (34, 5)
 proba :  0.010121473
(169.53545, 116.208916, 219.60515, 166.28996)
 c : roue
 list_crops.shape (36, 5)
 proba :  0.10636201
(83.71761, 166.04944, 133.41109, 253.0)
 proba :  0.050495367
(73.956726, 164.6661, 104.241196, 236.1417)
 proba :  0.03265163
(18.135677, 0.0, 45.995937, 33.785755)
 c : toit
 list_crops.shape (33, 5)
 c : vitre
 list_crops.shape (34, 5)
 proba :  0.028296055
(20.59834, 0.0, 45.492916, 43.05372)
 proba :  0.015351154
(170.87453, 118.45884, 221.03447, 164.49625)
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 : 4.013820648193359
time spend to save output : 8.726119995117188e-05
total time spend for step 1 : 4.0139079093933105

step2:crop_condition
Sat Feb  1 21:39:10 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 'dict'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738442345_1556235_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg': 950003695, 'temp/1738442345_1556235_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg': 926687666, 'temp/1738442345_1556235_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg': 950003812, 'temp/1738442345_1556235_950003696_11e3a77b72af4b332d366d98984039c7.jpg': 950003696, 'temp/1738442345_1556235_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg': 950003838, 'temp/1738442345_1556235_950003813_e28be02dfcce79cce594a390a9911a0a.jpg': 950003813}
map_photo_id_path_extension : {950003695: {'path': 'temp/1738442345_1556235_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg', 'extension': 'jpg'}, 926687666: {'path': 'temp/1738442345_1556235_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg', 'extension': 'jpg'}, 950003812: {'path': 'temp/1738442345_1556235_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg', 'extension': 'jpg'}, 950003696: {'path': 'temp/1738442345_1556235_950003696_11e3a77b72af4b332d366d98984039c7.jpg', 'extension': 'jpg'}, 950003838: {'path': 'temp/1738442345_1556235_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg', 'extension': 'jpg'}, 950003813: {'path': 'temp/1738442345_1556235_950003813_e28be02dfcce79cce594a390a9911a0a.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/1738442345_1556235_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg', 'temp/1738442345_1556235_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg', 'temp/1738442345_1556235_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg', 'temp/1738442345_1556235_950003696_11e3a77b72af4b332d366d98984039c7.jpg', 'temp/1738442345_1556235_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg', 'temp/1738442345_1556235_950003813_e28be02dfcce79cce594a390a9911a0a.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 ( 950003695,926687666,950003812,950003696,950003838,950003813) 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 ( 950003695,926687666,950003812,950003696,950003838,950003813) 
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 0x7efb500f2400>]', '[<mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047fa0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c80476d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047b80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047c10>]', '[<mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c80473d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c80475b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047df0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c80471f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047c70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047af0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c80474c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8041af0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8041700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8041a30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c80410d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8041eb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8041e20>]', '[<mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8041790>]', '[<mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8041820>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8041250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c80417c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8041220>]']

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 (950003695,926687666,950003812,950003696,950003838,950003813) 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/1738442345_1556235_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg
 new_file_path_bib_crop : temp/1738442345_1556235_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg
 new_file_path_bib_crop : temp/1738442345_1556235_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/1738442345_1556235_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/1738442345_1556235_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/1738442345_1556235_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/1738442345_1556235_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', (326, 477, 251, 312)], 1071808957: [950003812, 'temp/1738442345_1556235_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', (318, 489, 264, 310)], 1071808960: [950003812, 'temp/1738442345_1556235_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 (950003695,926687666,950003812,950003696,950003838,950003813) 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/1738442345_1556235_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg
now we use margin_relative for the photo_id : 926687666
 new_file_path_bib_crop : temp/1738442345_1556235_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/1738442345_1556235_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/1738442345_1556235_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/1738442345_1556235_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', (161, 330, 149, 343)], 1071808966: [950003812, 'temp/1738442345_1556235_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/1738442345_1556235_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', (326, 477, 251, 312)], 1071808957: [950003812, 'temp/1738442345_1556235_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', (318, 489, 264, 310)], 1071808960: [950003812, 'temp/1738442345_1556235_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg', (261, 408, 234, 331)], 1071808969: [926687666, 'temp/1738442345_1556235_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', (161, 330, 149, 343)], 1071808966: [950003812, 'temp/1738442345_1556235_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 : 0.38631105422973633
time spend to save output : 7.653236389160156e-05
total time spend for step 2 : 0.38638758659362793

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/1738442345_1556235_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', (326, 477, 251, 312)], 1071808957: [950003812, 'temp/1738442345_1556235_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', (318, 489, 264, 310)], 1071808960: [950003812, 'temp/1738442345_1556235_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg', (261, 408, 234, 331)], 1071808969: [926687666, 'temp/1738442345_1556235_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', (161, 330, 149, 343)], 1071808966: [950003812, 'temp/1738442345_1556235_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 : 0.13700437545776367
#### 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
Sat Feb  1 21:39:10 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 : {'temp/1738442350_1556235_990111206_7ca22c7e68dd0a10509c7987af0cf549.png': 990111206}
map_photo_id_path_extension : {990111206: {'path': 'temp/1738442350_1556235_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:20145644
treat image : temp/1738442350_1556235_990111206_7ca22c7e68dd0a10509c7987af0cf549.png
blanchir func
in upload media
 Upload medias :  ['temp/1738442350_1556235_990111206_7ca22c7e68dd0a10509c7987af0cf549.png'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=78d09a0790ec6ecbf119343125a81fdc&datou=0
temp/1738442350_1556235_990111206_7ca22c7e68dd0a10509c7987af0cf549.png
after data_to_send, before sending request
after request
<Response [200]>
b'{"photo_ids":["1333778992"],"photo_id":"1333778992","photo_detail":[{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/2/1/92c95b84fb3b6b12aee798cde4ea32eb.png","text":"TemporaryFile(/tmp/multipartBody8691657145779261000asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1738442351988,"filename":"1738442350_1556235_990111206_7ca22c7e68dd0a10509c7987af0cf549.png","height":0,"width":0}],"map_files_photo_id":{"file0":"1333778992"},"map_files_photo_id_array":[{"photo_id":"file0","filename":"1333778992"}],"hashtags":[],"portfolio_id":"20145644","result":[],"list_datou_current":[]}'
Result OK !

After datou_step_exec type output : <class 'list'>

time spend for datou_step_exec : 6.453330755233765
time spend to save output : 2.193450927734375e-05
total time spend for step 1 : 6.453352689743042

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 : 0.012446165084838867

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : [(990111206, '1333778992', 0, 300, 0, 381, 1, 1, 'blanc')]
[(990111206, '1333778992', 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 : 0.21775174140930176
#### 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
Sat Feb  1 21:39:17 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/1738442357_1556235_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg': 989962950}
map_photo_id_path_extension : {989962950: {'path': 'temp/1738442357_1556235_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/1738442357_1556235_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg
in upload media
 Upload medias :  ['temp/1738442357_1556235_989962950_4d2e56be59e275c3d57b085a836be0badarker.jpg'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=78d09a0790ec6ecbf119343125a81fdc&datou=0
temp/1738442357_1556235_989962950_4d2e56be59e275c3d57b085a836be0badarker.jpg
after data_to_send, before sending request
after request
<Response [200]>
b'{"photo_ids":["1333778993"],"photo_id":"1333778993","photo_detail":[{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/2/1/991d2d78f03db4a899edcdac44ab4576.jpg","text":"TemporaryFile(/tmp/multipartBody4891545748426787363asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1738442357794,"filename":"1738442357_1556235_989962950_4d2e56be59e275c3d57b085a836be0badarker.jpg","height":0,"width":0}],"map_files_photo_id":{"file0":"1333778993"},"map_files_photo_id_array":[{"photo_id":"file0","filename":"1333778993"}],"hashtags":[],"portfolio_id":"2213400","result":[],"list_datou_current":[]}'
Result OK !
list chi to save
[<mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047b80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047c10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8047fa0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c80471f0>]
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 : 6.753950595855713
time spend to save output : 6.341934204101562e-05
total time spend for step 1 : 6.754014015197754

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 : 0.5678629875183105

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : [(989962950, '1333778993', 0, 897, 0, 1431, 1, 1, 'darker')]
[(989962950, '1333778993', 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 ( 1333778993) 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 (3649183103,3649183104,3649183102,3649183100,3649183101,3649183098,3649183099)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3649183103,3649183104,3649183102,3649183100,3649183101,3649183098,3649183099)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3649183103,3649183104,3649183102,3649183100,3649183101,3649183098,3649183099)

############################### 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 : 0.09977126121520996
#### 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
Sat Feb  1 21:39:25 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/1738442365_1556235_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg': 989962950}
map_photo_id_path_extension : {989962950: {'path': 'temp/1738442365_1556235_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/1738442365_1556235_989962950_4d2e56be59e275c3d57b085a836be0ba_aug.jpg'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=7ad776945df9e5335881f03fafdabb27&datou=0
temp/1738442365_1556235_989962950_4d2e56be59e275c3d57b085a836be0ba_aug.jpg
after data_to_send, before sending request
after request
<Response [200]>
b'{"photo_ids":["1333778996"],"photo_id":"1333778996","photo_detail":[{"mtr_user_id":0,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/2/1/952247e0beef46b387d95bc9092f1e7b.jpg","text":"TemporaryFile(/tmp/multipartBody6534054656183716473asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1738442365688,"filename":"1738442365_1556235_989962950_4d2e56be59e275c3d57b085a836be0ba_aug.jpg","height":0,"width":0}],"map_files_photo_id":{"file0":"1333778996"},"map_files_photo_id_array":[{"photo_id":"file0","filename":"1333778996"}],"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 : 1333778996
ERROR missing MTRPhoto.crop_hashtag_ids : 492774966 on photo_id : 1333778996
ERROR missing MTRPhoto.crop_hashtag_ids : 492725882 on photo_id : 1333778996
ERROR missing MTRPhoto.crop_hashtag_ids : 492725882 on photo_id : 1333778996
ERROR missing MTRPhoto.crop_hashtag_ids : 492668766 on photo_id : 1333778996
ERROR missing MTRPhoto.crop_hashtag_ids : 492668766 on photo_id : 1333778996
ERROR missing MTRPhoto.crop_hashtag_ids : 492668766 on photo_id : 1333778996
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 : 6.774129629135132
time spend to save output : 2.6941299438476562e-05
total time spend for step 1 : 6.77415657043457

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 : 0.010942459106445312

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : [(989962950, 1333778996, 0, 1431, 0, 897, 1, 1, 'img_aug')]
[(989962950, 1333778996, 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 ( 1333778996) 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 (3649183110,3649183111,3649183109,3649183107,3649183108,3649183105,3649183106)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3649183110,3649183111,3649183109,3649183107,3649183108,3649183105,3649183106)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3649183110,3649183111,3649183109,3649183107,3649183108,3649183105,3649183106)

############################### 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 : 0.023484230041503906
#### 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
Sat Feb  1 21:39:32 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 : {}
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 1.9073486328125e-06
 elapsed_time : order_list_meta_photo_and_scores 0.00010466575622558594
 elapsed_time : fill_and_build_computed_from_old_data 0.011363983154296875

        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 0.023226261138916016

 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 16.25911283493042
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 : 0.039586544036865234
  photos_removed : len 115
 elapsed_time : remove_photo_duplicate 0.11185765266418457

 Creating list_photo_total 

XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX elapsed_time : count_sum_diff_and_build_graph 0.038277387619018555
 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 0.006979465484619141
 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 1.430511474609375e-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 : 20145645 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 : 20145646 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 : 20145647 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 : 20145648 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 : 20145649 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 : 20145650 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 : 20145651 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 : 20145652 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 : 20145653 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 : 20145654 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 0x7ef6eaf96160>
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 0x7ef6eaf96850>
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 0x7ef6eaf96910>
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 0x7ef6eaf962b0>
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 0x7ef6eaf96c70>
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 0x7ef6eaf96070>
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 0x7ef6eaf96940>
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 0x7ef6eaf96a60>
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 0x7ef6eaf961c0>
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 0x7ef6eaf96d90>
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 0x7ef6eaf96c10>
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 0x7ef6eaf96c40>
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 0x7ef6eaf96280>
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 0x7ef6eaf963d0>
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 0x7ef6eaf96df0>
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
(1579287, '_______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
(1579287, '_______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
(1579287, '_______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
(1579287, '_______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
(1579287, '_______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
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 created_at desc LIMIT 1
select value from MTRUser.portfolio_carac_ratio where portfolio_id = 
                            13545780 
                            and created_at >= (
                            SELECT min(created_at)
                            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
                            )and created_at < (
                            SELECT addtime(max(created_at),100)
                            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 value desc
                        
 list_result_datou : []
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
(1579287, '_______plastique_fonce',
'2021-09-07 08:51:54.010119', '2021-09-07 08:51:54.010119',
1, 13545780,
-1, -1,
'-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
(1579287, '_______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
(1579287, '_______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
(1579287, '_______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
(1579287, '_______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
(1579287, '_______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
(1579287, '_______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
(1579287, '_______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
(1579287, '_______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
(1579287, '_______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 17.599703788757324
# 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 : 34.14555597305298
time spend to save output : 0.00010895729064941406
total time spend for step 1 : 34.14566493034363

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 
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 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 0x7ef7c954a850>
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)
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('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)
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('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)
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('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)
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('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)
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('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)
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('3789', None, None, None, None, None, None, None, None)
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('3789', None, None, None, None, None, None, None, None)
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('3789', None, None, None, None, None, None, None, None)
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('3789', None, None, None, None, None, None, None, None)
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('3789', None, None, None, None, None, None, None, None)
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('3789', None, None, None, None, None, None, None, None)
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('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)
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('3789', None, None, None, None, None, None, None, None)
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('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 : 0.04452013969421387
 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
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begin to download photo : 1055003357
download finish for photo 1055011086
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download finish for photo 1055013727
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download finish for photo 1055010723
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begin to download photo : 1055011441
download finish for photo 1055004798
begin to download photo : 1055004627
download finish for photo 1055011441
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download finish for photo 1055003134
download finish for photo 1055004627
begin to download photo : 1055004608
download finish for photo 1055004608
begin to download photo : 1055004600
download finish for photo 1055004600
begin to download photo : 1055004278
download finish for photo 1055004278
begin to download photo : 1055004217
download finish for photo 1055004217
begin to download photo : 1055003679
download finish for photo 1055003679
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 : 5.993469476699829
#### 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
Sat Feb  1 21:40:12 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/1738442406_1556235_1055011086_bdfadbfd9b854d0e57bff554442c9bcd.jpg': 1055011086, 'temp/1738442406_1556235_1055011076_8f47b07eac25de1c6c004fe4d3d508be.jpg': 1055011076, 'temp/1738442406_1556235_1055011074_af75a035dcd1829a43a1e1de711c1c5c.jpg': 1055011074, 'temp/1738442406_1556235_1055011072_37a292bbe61b6a71ca20b3b88d1105ca.jpg': 1055011072, 'temp/1738442406_1556235_1055010743_8e677a02379626daa3d4ee7356ad894e.jpg': 1055010743, 'temp/1738442406_1556235_1055010739_e4eec41f6a47dc3e97c189a1e5caa46f.jpg': 1055010739, 'temp/1738442406_1556235_1055010737_350522f4866a7dcde0258de8aa920041.jpg': 1055010737, 'temp/1738442406_1556235_1055010730_1cfbca5001cab6e5d12df6b4b06e86c5.jpg': 1055010730, 'temp/1738442406_1556235_1055010725_915c21ba8a484205e02874d398e0faef.jpg': 1055010725, 'temp/1738442406_1556235_1055010723_2601cc78c82bdb85cb92f991b4df99cb.jpg': 1055010723, 'temp/1738442406_1556235_1055010143_9d8ce5a6bcd913fe183d34bf4af34991.jpg': 1055010143, 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map_photo_id_path_extension : {1055011086: {'path': 'temp/1738442406_1556235_1055011086_bdfadbfd9b854d0e57bff554442c9bcd.jpg', 'extension': 'jpg'}, 1055011076: {'path': 'temp/1738442406_1556235_1055011076_8f47b07eac25de1c6c004fe4d3d508be.jpg', 'extension': 'jpg'}, 1055011074: {'path': 'temp/1738442406_1556235_1055011074_af75a035dcd1829a43a1e1de711c1c5c.jpg', 'extension': 'jpg'}, 1055011072: {'path': 'temp/1738442406_1556235_1055011072_37a292bbe61b6a71ca20b3b88d1105ca.jpg', 'extension': 'jpg'}, 1055010743: {'path': 'temp/1738442406_1556235_1055010743_8e677a02379626daa3d4ee7356ad894e.jpg', 'extension': 'jpg'}, 1055010739: {'path': 'temp/1738442406_1556235_1055010739_e4eec41f6a47dc3e97c189a1e5caa46f.jpg', 'extension': 'jpg'}, 1055010737: {'path': 'temp/1738442406_1556235_1055010737_350522f4866a7dcde0258de8aa920041.jpg', 'extension': 'jpg'}, 1055010730: {'path': 'temp/1738442406_1556235_1055010730_1cfbca5001cab6e5d12df6b4b06e86c5.jpg', 'extension': 'jpg'}, 1055010725: {'path': 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'temp/1738442406_1556235_1055011454_46ec921f09112d298dcc47353d779d55.jpg', 'extension': 'jpg'}, 1055011441: {'path': 'temp/1738442406_1556235_1055011441_d825f9623da221614af7ce7a13591d1a.jpg', 'extension': 'jpg'}, 1055003131: {'path': 'temp/1738442406_1556235_1055003131_12bcf047c16351b2a2b41b2ba70db7b7.jpg', 'extension': 'jpg'}, 1055002045: {'path': 'temp/1738442406_1556235_1055002045_390fce166d8a4e346d18cfdb695bd3f8.jpg', 'extension': 'jpg'}, 1055001545: {'path': 'temp/1738442406_1556235_1055001545_292c889b214383c9eff957d779217aeb.jpg', 'extension': 'jpg'}, 1055001542: {'path': 'temp/1738442406_1556235_1055001542_5e1a9c0f7788cfc726846cda743dd454.jpg', 'extension': 'jpg'}, 1055001092: {'path': 'temp/1738442406_1556235_1055001092_fd1729b4879040e36f41b3af545fd28c.jpg', 'extension': 'jpg'}, 1055001085: {'path': 'temp/1738442406_1556235_1055001085_586137b302133d7442a9621d01dfd9ee.jpg', 'extension': 'jpg'}, 1055000228: {'path': 'temp/1738442406_1556235_1055000228_6046bacdc732ec23020791db686fd31b.jpg', 'extension': 'jpg'}, 1055000070: {'path': 'temp/1738442406_1556235_1055000070_639c1516bf67f61fa16e61a34313e98b.jpg', 'extension': 'jpg'}, 1055000068: {'path': 'temp/1738442406_1556235_1055000068_fa025777da94026b7a3688fce1c4c657.jpg', 'extension': 'jpg'}, 1055000063: {'path': 'temp/1738442406_1556235_1055000063_44f2dd3c2dff30aa3bc9da4b89a2daf0.jpg', 'extension': 'jpg'}, 1055000059: {'path': 'temp/1738442406_1556235_1055000059_4b09d365e4e3dcefaeb8b421405350f9.jpg', 'extension': 'jpg'}, 1055000055: {'path': 'temp/1738442406_1556235_1055000055_c9e450bd4b6e2cb9cfa8e540e915987c.jpg', 'extension': 'jpg'}, 1055003357: {'path': 'temp/1738442406_1556235_1055003357_724bbfa472d57dcea0975679f4a393ff.jpg', 'extension': 'jpg'}, 1055003348: {'path': 'temp/1738442406_1556235_1055003348_588ecea5e15961fe1292f72d4cf33b3c.jpg', 'extension': 'jpg'}, 1055003292: {'path': 'temp/1738442406_1556235_1055003292_4ad5363c1776217234fa6acc8a9fbd85.jpg', 'extension': 'jpg'}, 1055003278: {'path': 'temp/1738442406_1556235_1055003278_1e53f6abe2076619fbf0cb6255fca71b.jpg', 'extension': 'jpg'}, 1055003266: {'path': 'temp/1738442406_1556235_1055003266_eae639e1ccc20bd1a6a2f69e66c41382.jpg', 'extension': 'jpg'}, 1055003261: {'path': 'temp/1738442406_1556235_1055003261_fb67a67f6cc7a87b0af2a03906a24b7d.jpg', 'extension': 'jpg'}, 1055003259: {'path': 'temp/1738442406_1556235_1055003259_cc27886462be43921344678712ff777f.jpg', 'extension': 'jpg'}, 1055003249: {'path': 'temp/1738442406_1556235_1055003249_a3800e1944260107f11d988a743bd54f.jpg', 'extension': 'jpg'}, 1055003202: {'path': 'temp/1738442406_1556235_1055003202_39321c32c32d09c1ffaa48a867a690fe.jpg', 'extension': 'jpg'}, 1055003198: {'path': 'temp/1738442406_1556235_1055003198_3f7cf97aea8a045db187250a09903f94.jpg', 'extension': 'jpg'}, 1055003197: {'path': 'temp/1738442406_1556235_1055003197_8735b1a92ec92b085fcf6d4191102ae4.jpg', 'extension': 'jpg'}, 1055003185: {'path': 'temp/1738442406_1556235_1055003185_f94dcbfb2802c930ee56eb9d1c9e9420.jpg', 'extension': 'jpg'}, 1055003134: {'path': 'temp/1738442406_1556235_1055003134_b26c74c56f9d8d7a5c9ccd672aa5722e.jpg', 'extension': 'jpg'}, 1055008597: {'path': 'temp/1738442406_1556235_1055008597_33977b4f5c3fdcfef21a921815b91908.jpg', 'extension': 'jpg'}, 1055008184: {'path': 'temp/1738442406_1556235_1055008184_23ee09498d38b063b7df290f72693b5b.jpg', 'extension': 'jpg'}, 1055008181: {'path': 'temp/1738442406_1556235_1055008181_872ed5f6160fc9985f7c144e533a552d.jpg', 'extension': 'jpg'}, 1055007992: {'path': 'temp/1738442406_1556235_1055007992_3f0247dd9a329bb2634a6df866c7993b.jpg', 'extension': 'jpg'}, 1055007953: {'path': 'temp/1738442406_1556235_1055007953_831e4c41962162209ffbd3492d14ca01.jpg', 'extension': 'jpg'}, 1055007950: {'path': 'temp/1738442406_1556235_1055007950_3aea8b8cb1f8c6e4b87714e0d17e12c5.jpg', 'extension': 'jpg'}, 1055004798: {'path': 'temp/1738442406_1556235_1055004798_c38e078097a0afb8565867dfa05724d7.jpg', 'extension': 'jpg'}, 1055004627: {'path': 'temp/1738442406_1556235_1055004627_9afc9aa5c93533104d86b96e0b5de9d0.jpg', 'extension': 'jpg'}, 1055004608: {'path': 'temp/1738442406_1556235_1055004608_8f10a6ef80cc1cb72e52bb22cdd7bac9.jpg', 'extension': 'jpg'}, 1055004600: {'path': 'temp/1738442406_1556235_1055004600_d545fe61ea780a6598c9d5febba7d576.jpg', 'extension': 'jpg'}, 1055004278: {'path': 'temp/1738442406_1556235_1055004278_7d9a1423053759339afb51f45a1b5d84.jpg', 'extension': 'jpg'}, 1055004217: {'path': 'temp/1738442406_1556235_1055004217_63353acd8a59167cd1364f16c9c06813.jpg', 'extension': 'jpg'}, 1055003679: {'path': 'temp/1738442406_1556235_1055003679_9231db8e9237505d07f9358467266703.jpg', 'extension': 'jpg'}}
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/1738442406_1556235_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/1738442406_1556235_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/1738442406_1556235_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/1738442406_1556235_1055000055_c9e450bd4b6e2cb9cfa8e540e915987c.jpg', 'black': False}]
0
[]
 elapsed_time : load_data_split_time_score 8.821487426757812e-06
 elapsed_time : order_list_meta_photo_and_scores 1.3113021850585938e-05
???????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0028829574584960938

        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 0.025063037872314453
***** 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 : 0.008747577667236328


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 : 0.007819175720214844


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 : 0.007859468460083008


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 : 0.008182287216186523


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 : 0.00869131088256836
 elapsed_time : SPLIT_BY_DARK 0.04745006561279297
***** 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
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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 0.006573677062988281
***** 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 0x7ef86818dbb0>
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 0x7ef86818d940>
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 0x7ef86818dac0>
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 0x7ef86818da90>
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 0x7ef86818dc10>
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 0x7ef86818dca0>
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
(1579288, '_______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
(1579288, '_______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
(1579288, '_______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
(1579288, '_______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
(1579288, '_______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
(1579288, '_______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 1.0339362621307373
# 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 : 6.327227830886841
time spend to save output : 0.00012874603271484375
total time spend for step 1 : 6.327356576919556

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 
[1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599, 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, 1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679]
 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 : [1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599, 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, 1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679]
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', '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)
('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', '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', '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)


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', '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), ('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', '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', '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)]
time used for this insertion : 0.19008874893188477
 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 : 0.02438068389892578
#### 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
Sat Feb  1 21:40:19 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 : {}
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 5.0067901611328125e-06
 elapsed_time : order_list_meta_photo_and_scores 1.1920928955078125e-05
??? elapsed_time : fill_and_build_computed_from_old_data 0.000286102294921875

        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 0.02361774444580078
---------- 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': 8649937, '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 3.0994415283203125e-06
 elapsed_time : order_list_meta_photo_and_scores 1.0013580322265625e-05
? elapsed_time : fill_and_build_computed_from_old_data 0.000270843505859375

        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 2.9345548152923584
---------- 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': 8649937, 'hashtag': '_______Plastique_fonce', 'completion_json': "{'url_report': ''}"}, {'dashboat_entry_day': 145759, 'dashboard_run_id': 152846, 'mtr_portfolio_id': 4505992, 'dashboard_result_id': 8649938, '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 : 5.57535982131958
time spend to save output : 7.319450378417969e-05
total time spend for step 1 : 5.575433015823364

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 0x7ef8680b2fd0>
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 : 0.013440608978271484
 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 : 0.01487421989440918
#### 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
Sat Feb  1 21:40:25 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 : {}
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 2.1457672119140625e-06
 elapsed_time : order_list_meta_photo_and_scores 5.245208740234375e-06
????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0034132003784179688

        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 0.023407936096191406

 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 0.010601282119750977
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 : 0.011174678802490234
  photos_removed : len 0
 elapsed_time : remove_photo_duplicate 0.03457760810852051
To do, maybe not at the correct place !
.................................force hashtag to JRM
 elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.005002260208129883
 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 0.023914098739624023
# 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 : 0.16167521476745605
time spend to save output : 2.4318695068359375e-05
total time spend for step 1 : 0.16169953346252441

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 0x7ef8680b2f40>
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 : 0.01825690269470215
 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 (3649071917,3649071918,3649071919,3649071920,3649071921,3649071922,3649071923,3649071924,3649071925,3649071926) 
SELECT id FROM MTRPhoto.crop_hashtag_ids WHERE photo_id=996751167 AND `type`=2805
DELETE FROM MTRPhoto.crop_hashtag_ids WHERE id IN (3649075489,3649075462,3649075490,3649075469,3649075452,3649075466,3649075449,3649075480,3649075468,3649075459,3649075487,3649075471,3649075476,3649075477,3649075482,3649075479,3649075455,3649075484,3649075460,3649075463,3649075478,3649075486,3649075465,3649075470,3649075461,3649075451,3649075475,3649075481,3649075453,3649075448,3649075457,3649075450,3649075467,3649075485,3649075472,3649075458,3649075474,3649075473,3649075456,3649075483,3649075488,3649075454,3649075464,3649075447) 
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 : 0.16058611869812012
#### 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
Sat Feb  1 21:40:25 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/1738442425_1556235_998957128_f45017ffedbd1f7cb33fed47ac33648c.jpg': 998957128}
map_photo_id_path_extension : {998957128: {'path': 'temp/1738442425_1556235_998957128_f45017ffedbd1f7cb33fed47ac33648c.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738442425_1556235_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  : 0.3198537826538086
time for calcul the mask position with numpy : 0.0036110877990722656
nb_pixel_total : 217207
time to create 1 rle with new method : 0.03572392463684082
time for calcul the mask position with numpy : 0.0026731491088867188
nb_pixel_total : 1008
time to create 1 rle with old method : 0.0015985965728759766
time for calcul the mask position with numpy : 0.003818035125732422
nb_pixel_total : 751
time to create 1 rle with old method : 0.0008327960968017578
time for calcul the mask position with numpy : 0.0026340484619140625
nb_pixel_total : 722
time to create 1 rle with old method : 0.0008435249328613281
time for calcul the mask position with numpy : 0.0025947093963623047
nb_pixel_total : 2949
time to create 1 rle with old method : 0.003159046173095703
time for calcul the mask position with numpy : 0.0026645660400390625
nb_pixel_total : 497
time to create 1 rle with old method : 0.0005567073822021484
time for calcul the mask position with numpy : 0.0025506019592285156
nb_pixel_total : 1086
time to create 1 rle with old method : 0.00121307373046875
time for calcul the mask position with numpy : 0.002634286880493164
nb_pixel_total : 1924
time to create 1 rle with old method : 0.002231597900390625
time for calcul the mask position with numpy : 0.0025060176849365234
nb_pixel_total : 413
time to create 1 rle with old method : 0.0004508495330810547
time for calcul the mask position with numpy : 0.002546072006225586
nb_pixel_total : 526
time to create 1 rle with old method : 0.0005698204040527344
create new chi : 0.07569074630737305
 proportion hashtag : balle_pet_clair 0.23568467881944444
 proportion hashtag : contaminant_du_pet_clair 0.010716145833333333
time to delete rle : 0.0143280029296875
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 : ('3649183112', '538', '174', '1')
...
 last line : ('3649183121', '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 : 0.228179931640625
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 : 0.7568042278289795
time spend to save output : 7.176399230957031e-05
total time spend for step 1 : 0.7568759918212891

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 : 0.2135171890258789
#### 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
Sat Feb  1 21:40:26 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
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738442426_1556235_1066511071_cca6b29b0253f105b76231d9c28fabe3.jpg': 1066511071}
map_photo_id_path_extension : {1066511071: {'path': 'temp/1738442426_1556235_1066511071_cca6b29b0253f105b76231d9c28fabe3.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738442426_1556235_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 : 0.030393600463867188
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 : 0.6024565696716309
time spend to save output : 9.584426879882812e-05
total time spend for step 1 : 0.6025524139404297

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 : 0.20059943199157715
#### 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
Sat Feb  1 21:40:27 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/1738442427_1556235_996751167_a4a67aed9b2473876b59443347f3912e.jpg': 996751167}
map_photo_id_path_extension : {996751167: {'path': 'temp/1738442427_1556235_996751167_a4a67aed9b2473876b59443347f3912e.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738442427_1556235_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  : 13.682149887084961
time for calcul the mask position with numpy : 0.28671789169311523
nb_pixel_total : 5233657
time to create 1 rle with new method : 0.5136334896087646
time for calcul the mask position with numpy : 0.03414559364318848
nb_pixel_total : 11972
time to create 1 rle with old method : 0.01382899284362793
time for calcul the mask position with numpy : 0.03359580039978027
nb_pixel_total : 15054
time to create 1 rle with old method : 0.016999483108520508
time for calcul the mask position with numpy : 0.03289628028869629
nb_pixel_total : 13954
time to create 1 rle with old method : 0.015560626983642578
time for calcul the mask position with numpy : 0.03294801712036133
nb_pixel_total : 4888
time to create 1 rle with old method : 0.005330085754394531
time for calcul the mask position with numpy : 0.04376983642578125
nb_pixel_total : 1188492
time to create 1 rle with new method : 0.49228453636169434
time for calcul the mask position with numpy : 0.0336151123046875
nb_pixel_total : 184585
time to create 1 rle with new method : 0.4211313724517822
time for calcul the mask position with numpy : 0.03284001350402832
nb_pixel_total : 18620
time to create 1 rle with old method : 0.020664453506469727
time for calcul the mask position with numpy : 0.033113718032836914
nb_pixel_total : 62945
time to create 1 rle with old method : 0.06886768341064453
time for calcul the mask position with numpy : 0.0321803092956543
nb_pixel_total : 9427
time to create 1 rle with old method : 0.01022648811340332
time for calcul the mask position with numpy : 0.032660484313964844
nb_pixel_total : 9081
time to create 1 rle with old method : 0.009999275207519531
time for calcul the mask position with numpy : 0.03219151496887207
nb_pixel_total : 15987
time to create 1 rle with old method : 0.017385482788085938
time for calcul the mask position with numpy : 0.03230690956115723
nb_pixel_total : 33276
time to create 1 rle with old method : 0.03485369682312012
time for calcul the mask position with numpy : 0.03790712356567383
nb_pixel_total : 17533
time to create 1 rle with old method : 0.02752685546875
time for calcul the mask position with numpy : 0.03393888473510742
nb_pixel_total : 4876
time to create 1 rle with old method : 0.0053713321685791016
time for calcul the mask position with numpy : 0.033406734466552734
nb_pixel_total : 25226
time to create 1 rle with old method : 0.02588963508605957
time for calcul the mask position with numpy : 0.03204059600830078
nb_pixel_total : 30773
time to create 1 rle with old method : 0.03172183036804199
time for calcul the mask position with numpy : 0.03267526626586914
nb_pixel_total : 65671
time to create 1 rle with old method : 0.07524394989013672
time for calcul the mask position with numpy : 0.03533339500427246
nb_pixel_total : 12230
time to create 1 rle with old method : 0.014725685119628906
time for calcul the mask position with numpy : 0.033727407455444336
nb_pixel_total : 29560
time to create 1 rle with old method : 0.03268003463745117
time for calcul the mask position with numpy : 0.032105207443237305
nb_pixel_total : 14310
time to create 1 rle with old method : 0.015199422836303711
time for calcul the mask position with numpy : 0.03317379951477051
nb_pixel_total : 15117
time to create 1 rle with old method : 0.016070842742919922
time for calcul the mask position with numpy : 0.03605365753173828
nb_pixel_total : 301487
time to create 1 rle with new method : 0.4716496467590332
time for calcul the mask position with numpy : 0.031716108322143555
nb_pixel_total : 29821
time to create 1 rle with old method : 0.03161811828613281
time for calcul the mask position with numpy : 0.030928611755371094
nb_pixel_total : 40299
time to create 1 rle with old method : 0.042517662048339844
time for calcul the mask position with numpy : 0.03179645538330078
nb_pixel_total : 12680
time to create 1 rle with old method : 0.015147686004638672
time for calcul the mask position with numpy : 0.03189253807067871
nb_pixel_total : 9449
time to create 1 rle with old method : 0.009675979614257812
time for calcul the mask position with numpy : 0.032170772552490234
nb_pixel_total : 15168
time to create 1 rle with old method : 0.015963315963745117
time for calcul the mask position with numpy : 0.03297615051269531
nb_pixel_total : 11140
time to create 1 rle with old method : 0.01261448860168457
time for calcul the mask position with numpy : 0.0329442024230957
nb_pixel_total : 29065
time to create 1 rle with old method : 0.03048253059387207
time for calcul the mask position with numpy : 0.03246498107910156
nb_pixel_total : 22774
time to create 1 rle with old method : 0.025426864624023438
time for calcul the mask position with numpy : 0.03286004066467285
nb_pixel_total : 13880
time to create 1 rle with old method : 0.014616727828979492
time for calcul the mask position with numpy : 0.03313732147216797
nb_pixel_total : 155366
time to create 1 rle with new method : 0.5857493877410889
time for calcul the mask position with numpy : 0.03355240821838379
nb_pixel_total : 63941
time to create 1 rle with old method : 0.07017254829406738
time for calcul the mask position with numpy : 0.032605648040771484
nb_pixel_total : 7836
time to create 1 rle with old method : 0.008929729461669922
time for calcul the mask position with numpy : 0.033153533935546875
nb_pixel_total : 7460
time to create 1 rle with old method : 0.008397340774536133
time for calcul the mask position with numpy : 0.03346109390258789
nb_pixel_total : 44600
time to create 1 rle with old method : 0.050237178802490234
time for calcul the mask position with numpy : 0.03275799751281738
nb_pixel_total : 11879
time to create 1 rle with old method : 0.013200998306274414
time for calcul the mask position with numpy : 0.033097028732299805
nb_pixel_total : 44195
time to create 1 rle with old method : 0.04596400260925293
time for calcul the mask position with numpy : 0.033386945724487305
nb_pixel_total : 23652
time to create 1 rle with old method : 0.02626490592956543
time for calcul the mask position with numpy : 0.03302717208862305
nb_pixel_total : 30006
time to create 1 rle with old method : 0.03239560127258301
time for calcul the mask position with numpy : 0.03278231620788574
nb_pixel_total : 15880
time to create 1 rle with old method : 0.01771235466003418
time for calcul the mask position with numpy : 0.03363847732543945
nb_pixel_total : 29845
time to create 1 rle with old method : 0.03357100486755371
time for calcul the mask position with numpy : 0.03407430648803711
nb_pixel_total : 144263
time to create 1 rle with old method : 0.1808779239654541
create new chi : 5.489051342010498
 proportion hashtag : error 0.14340033061450744
 proportion hashtag : environment 0.209023722085841
 proportion hashtag : pet_fonce 0.6475759472996516
time to delete rle : 0.3962240219116211
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 : ('3649183242', '0', '0', '3280')
...
 last line : ('3649183285', '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 : 1.7631025314331055
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 : 21.64667844772339
time spend to save output : 0.0001728534698486328
total time spend for step 1 : 21.646851301193237

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 (3649183112,3649183113,3649183114,3649183115,3649183116,3649183117,3649183118,3649183119,3649183120,3649183121,3649183242,3649183243,3649183244,3649183245,3649183246,3649183247,3649183248,3649183249,3649183250,3649183251,3649183252,3649183253,3649183254,3649183255,3649183256,3649183257,3649183258,3649183259,3649183260,3649183261,3649183262,3649183263,3649183264,3649183265,3649183266,3649183267,3649183268,3649183269,3649183270,3649183271,3649183272,3649183273,3649183274,3649183275,3649183276,3649183277,3649183278,3649183279,3649183280,3649183281,3649183282,3649183283,3649183284,3649183285)
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3649183112,3649183113,3649183114,3649183115,3649183116,3649183117,3649183118,3649183119,3649183120,3649183121,3649183242,3649183243,3649183244,3649183245,3649183246,3649183247,3649183248,3649183249,3649183250,3649183251,3649183252,3649183253,3649183254,3649183255,3649183256,3649183257,3649183258,3649183259,3649183260,3649183261,3649183262,3649183263,3649183264,3649183265,3649183266,3649183267,3649183268,3649183269,3649183270,3649183271,3649183272,3649183273,3649183274,3649183275,3649183276,3649183277,3649183278,3649183279,3649183280,3649183281,3649183282,3649183283,3649183284,3649183285)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3649183112,3649183113,3649183114,3649183115,3649183116,3649183117,3649183118,3649183119,3649183120,3649183121,3649183242,3649183243,3649183244,3649183245,3649183246,3649183247,3649183248,3649183249,3649183250,3649183251,3649183252,3649183253,3649183254,3649183255,3649183256,3649183257,3649183258,3649183259,3649183260,3649183261,3649183262,3649183263,3649183264,3649183265,3649183266,3649183267,3649183268,3649183269,3649183270,3649183271,3649183272,3649183273,3649183274,3649183275,3649183276,3649183277,3649183278,3649183279,3649183280,3649183281,3649183282,3649183283,3649183284,3649183285)
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 : 0.1452188491821289
#### 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
Sat Feb  1 21:40:49 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/1738442449_1556235_1006293201_ac133c4479fdab9f9d690f3bcbac83df.jpg': 1006293201}
map_photo_id_path_extension : {1006293201: {'path': 'temp/1738442449_1556235_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/1738442452_1556235
we have uploaded 4 photos in the portfolio 3287159

time of upload the photos Elapsed time : 1.278787612915039


After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 3.807621479034424
time spend to save output : 7.128715515136719e-05
total time spend for step 1 : 3.807692766189575

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
/1333779021Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1333779022Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1333779023Didn't retrieve data
.Didn't retrieve data
.Didn't retrieve data
.
/1333779024Didn'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 0x7ef7c954ae80>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7efb500b6580>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7efb500b6640>
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, '1333779021', 'None', None, None, None, None, None), ('2896', None, '1333779022', 'None', None, None, None, None, None), ('2896', None, '1333779023', 'None', None, None, None, None, None), ('2896', None, '1333779024', 'None', None, None, None, None, None), ('2896', '3288640', '1006293201', None, None, None, None, None, None)]
time used for this insertion : 0.012896537780761719
 save_final 

save missing photos in datou_result :
After save, about to update current !
 datou_cur_ids : []
 len(datou.list_steps) : 1
 output : {1333779021: ['1006293201', 'temp/1006293201_random_deformation_0.png', []], 1333779022: ['1006293201', 'temp/1006293201_random_deformation_1.png', []], 1333779023: ['1006293201', 'temp/1006293201_random_deformation_2.png', []], 1333779024: ['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 : 0.45762109756469727
#### 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
Sat Feb  1 21:40:54 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/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53.jpg': 1008283903}
map_photo_id_path_extension : {1008283903: {'path': 'temp/1738442453_1556235_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/1738442453_1556235_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 : 20145655 with name results_test_tile
 feed_id_new_photos : 20145655
 filename : temp/1738442453_1556235_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 0x7ef7c8073760>]
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 0x7ef7c8073490>]
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 0x7ef7c8073100>]
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 0x7ef7c8073fa0>]
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 0x7ef7c8073e80>]
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 0x7ef7c8073b80>]
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 0x7ef7c8073400>]
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/1738442453_1556235_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 : 0.3180358409881592

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/1738442460_1556235
INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `mtr_user_id`, `created_at`)
                  VALUES (20145655, 1333779028, 0, NOW()),(20145655, 1333779029, 0, NOW()),(20145655, 1333779030, 0, NOW()),(20145655, 1333779031, 0, NOW()),(20145655, 1333779032, 0, NOW()),(20145655, 1333779033, 0, NOW()),(20145655, 1333779034, 0, NOW()),(20145655, 1333779035, 0, NOW()),(20145655, 1333779036, 0, NOW()),(20145655, 1333779037, 0, NOW()),(20145655, 1333779038, 0, NOW()),(20145655, 1333779039, 0, NOW()),(20145655, 1333779040, 0, NOW()),(20145655, 1333779041, 0, NOW()),(20145655, 1333779042, 0, NOW()),(20145655, 1333779043, 0, NOW()),(20145655, 1333779044, 0, NOW()),(20145655, 1333779045, 0, NOW()),(20145655, 1333779046, 0, NOW()),(20145655, 1333779047, 0, NOW()),(20145655, 1333779048, 0, NOW()),(20145655, 1333779049, 0, NOW()),(20145655, 1333779050, 0, NOW()),(20145655, 1333779051, 0, NOW())
24
we have uploaded 24 photos in the portfolio 20145655
Importing !

upload mediasElapsed time : 5.420608758926392

, 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, 1333779028, 0), (1930014931, 1333779029, 0), (1930014932, 1333779030, 0), (1930014933, 1333779031, 0), (1930014934, 1333779032, 0), (1930014935, 1333779033, 0), (1930014936, 1333779034, 0), (1930014937, 1333779035, 0), (1930014938, 1333779036, 0), (1930014939, 1333779037, 0), (1930014940, 1333779038, 0), (1930014941, 1333779039, 0), (1930014942, 1333779040, 0), (1930014943, 1333779041, 0), (1930014944, 1333779042, 0), (1930014945, 1333779043, 0), (1930014946, 1333779044, 0), (1930014947, 1333779045, 0), (1930014948, 1333779046, 0), (1930014949, 1333779047, 0), (1930014950, 1333779048, 0), (1930014951, 1333779049, 0), (1930014952, 1333779050, 0), (1930014953, 1333779051, 0)]
Saving 7 CHIs.
list_chi_tile : ["<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1333779037, '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', '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'], 'sub_photo_id': 0, 'rles': [[1929991390, 487, 611, 30], [1929991390, 481, 612, 64], [1929991390, 474, 613, 75], [1929991390, 467, 614, 86], [1929991390, 461, 615, 95], [1929991390, 454, 616, 106], [1929991390, 448, 617, 116], [1929991390, 441, 618, 126], [1929991390, 434, 619, 137], [1929991390, 428, 620, 147], [1929991390, 423, 621, 158], [1929991390, 419, 622, 171], [1929991390, 415, 623, 185], [1929991390, 411, 624, 198], [1929991390, 408, 625, 210], [1929991390, 404, 626, 224], [1929991390, 400, 627, 237], [1929991390, 396, 628, 244], [1929991390, 392, 629, 248], [1929991390, 389, 630, 251], [1929991390, 385, 631, 255], [1929991390, 381, 632, 259], [1929991390, 377, 633, 263], [1929991390, 374, 634, 266], [1929991390, 370, 635, 270], [1929991390, 366, 636, 274], [1929991390, 362, 637, 278], [1929991390, 359, 638, 281], [1929991390, 355, 639, 285]], 'hashtag': '', 'sum_segment': 0}", "<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': 1333779038, 'hashtag_id': 511548407, 'type': 3243, 'x0': 180, 'x1': 640, 'y0': 0, 'y1': 640, 'score': 1.0, 'id': 0, 'points': 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[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 : ('3649183378', '487', '611', '30')
...
 last line : ('3649183384', '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 : 5.639560699462891

map_pid_results : {'1333779028': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_0.jpg'], '1333779029': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_1.jpg'], '1333779030': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_2.jpg'], '1333779031': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_3.jpg'], '1333779032': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_4.jpg'], '1333779033': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_5.jpg'], '1333779034': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_6.jpg'], '1333779035': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_7.jpg'], '1333779036': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_8.jpg'], '1333779037': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_9.jpg'], '1333779038': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_10.jpg'], '1333779039': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_11.jpg'], '1333779040': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_12.jpg'], '1333779041': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_13.jpg'], '1333779042': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_14.jpg'], '1333779043': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_15.jpg'], '1333779044': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_16.jpg'], '1333779045': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_17.jpg'], '1333779046': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_18.jpg'], '1333779047': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_19.jpg'], '1333779048': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_20.jpg'], '1333779049': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_21.jpg'], '1333779050': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_22.jpg'], '1333779051': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_23.jpg']}

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 11.630814552307129
time spend to save output : 5.316734313964844e-05
total time spend for step 1 : 11.630867719650269

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 : {'1333779028': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_0.jpg'], '1333779029': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_1.jpg'], '1333779030': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_2.jpg'], '1333779031': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_3.jpg'], '1333779032': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_4.jpg'], '1333779033': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_5.jpg'], '1333779034': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_6.jpg'], '1333779035': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_7.jpg'], '1333779036': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_8.jpg'], '1333779037': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_9.jpg'], '1333779038': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_10.jpg'], '1333779039': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_11.jpg'], '1333779040': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_12.jpg'], '1333779041': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_13.jpg'], '1333779042': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_14.jpg'], '1333779043': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_15.jpg'], '1333779044': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_16.jpg'], '1333779045': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_17.jpg'], '1333779046': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_18.jpg'], '1333779047': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_19.jpg'], '1333779048': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_20.jpg'], '1333779049': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_21.jpg'], '1333779050': ['temp/1738442453_1556235_1008283903_6d008d31a1477b2e98cbafa96bd48e53_22.jpg'], '1333779051': ['temp/1738442453_1556235_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 ( 1333779028,1333779029,1333779030,1333779031,1333779032,1333779033,1333779034,1333779035,1333779036,1333779037,1333779038,1333779039,1333779040,1333779041,1333779042,1333779043,1333779044,1333779045,1333779046,1333779047,1333779048,1333779049,1333779050,1333779051) 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 (3649183378,3649183379,3649183380,3649183381,3649183382,3649183383,3649183384)
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649183378. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649183379. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649183380. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649183381. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649183382. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649183383. Ignored now
++WARNING : duplicated polygon, we should remove this data for chi_id : 3649183384. Ignored now
SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3649183378,3649183379,3649183380,3649183381,3649183382,3649183383,3649183384)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3649183378,3649183379,3649183380,3649183381,3649183382,3649183383,3649183384)
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 : 0.2441389560699463
#### 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
Sat Feb  1 21:41:05 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/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg': 1003369118}
map_photo_id_path_extension : {1003369118: {'path': 'temp/1738442465_1556235_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 0x7ef7c8103040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c81034c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d03d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d05b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0e50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d01f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d04c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b25e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2f40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b22e0>]}
https://marlene.fotonower.com/api/v1/secured/portfolio/new?access_token=78d09a0790ec6ecbf119343125a81fdc
 feed_id_new_photos : 20145656
 photo_id in download_rotate_and_save : 1003369118 list_chi_loc : 16
Use all angle !
Rotation of photo 1003369118 of 0 degree
temp/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8103040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c81034c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d03d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d05b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0e50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d01f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d04c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b25e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2f40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b22e0>] 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 : 0.01276850700378418
nb_pixel_total : 110633
time to create 1 rle with old method : 0.11526131629943848
.time for calcul the mask position with numpy : 0.011361837387084961
nb_pixel_total : 15826
time to create 1 rle with old method : 0.016651630401611328
.time for calcul the mask position with numpy : 0.011335372924804688
nb_pixel_total : 5286
time to create 1 rle with old method : 0.005858182907104492
.time for calcul the mask position with numpy : 0.011182308197021484
nb_pixel_total : 1633
time to create 1 rle with old method : 0.0018317699432373047
.time for calcul the mask position with numpy : 0.010173559188842773
nb_pixel_total : 105533
time to create 1 rle with old method : 0.11313509941101074
.time for calcul the mask position with numpy : 0.010357856750488281
nb_pixel_total : 4393
time to create 1 rle with old method : 0.004947662353515625
.time for calcul the mask position with numpy : 0.011810541152954102
nb_pixel_total : 632
time to create 1 rle with old method : 0.0008018016815185547
.time for calcul the mask position with numpy : 0.011296510696411133
nb_pixel_total : 62627
time to create 1 rle with old method : 0.06619739532470703
.time for calcul the mask position with numpy : 0.011555910110473633
nb_pixel_total : 33681
time to create 1 rle with old method : 0.03660988807678223
.time for calcul the mask position with numpy : 0.011534929275512695
nb_pixel_total : 37724
time to create 1 rle with old method : 0.04065108299255371
.time for calcul the mask position with numpy : 0.011782169342041016
nb_pixel_total : 48775
time to create 1 rle with old method : 0.051619768142700195
.time for calcul the mask position with numpy : 0.10548114776611328
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.19482421875
.time for calcul the mask position with numpy : 0.01067805290222168
nb_pixel_total : 2310
time to create 1 rle with old method : 0.002766847610473633
.time for calcul the mask position with numpy : 0.010161638259887695
nb_pixel_total : 2256
time to create 1 rle with old method : 0.0027811527252197266
.time for calcul the mask position with numpy : 0.010551929473876953
nb_pixel_total : 3112
time to create 1 rle with old method : 0.0036649703979492188
.time for calcul the mask position with numpy : 0.009697914123535156
nb_pixel_total : 1662
time to create 1 rle with old method : 0.0019297599792480469
.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, 49), (-1, 1, 1074, 51), (-1, 1, 1075, 52), (-1, 1, 1076, 53), (-1, 1, 1077, 55), (-1, 1, 1078, 56), (-1, 1, 1079, 57), (-1, 1, 1080, 59), (-1, 1, 1081, 60), (-1, 1, 1082, 62), (-1, 1, 1083, 63), (-1, 1, 1084, 64), (-1, 1, 1085, 66), (-1, 1, 1086, 67), (-1, 1, 1087, 68), (-1, 1, 1088, 70), (-1, 1, 1089, 71), (-1, 1, 1090, 73), (-1, 1, 1091, 74), (-1, 1, 1092, 75), (-1, 1, 1093, 77), (-1, 1, 1094, 78), (-1, 1, 1095, 79), (-1, 1, 1096, 81), (-1, 1, 1097, 82), (-1, 1, 1098, 83), (-1, 1, 1099, 85), (-1, 1, 1100, 86), (-1, 1, 1101, 88), (-1, 1, 1102, 89), (-1, 1, 1103, 90), (-1, 1, 1104, 92), (-1, 1, 1105, 93), (-1, 1, 1106, 94), (-1, 1, 1107, 96), (-1, 1, 1108, 97), (-1, 1, 1109, 98), (-1, 1, 1110, 99), (-1, 1, 1111, 100), (-1, 1, 1112, 101), (-1, 1, 1113, 103), (-1, 1, 1114, 104), (-1, 1, 1115, 105), (-1, 1, 1116, 106), (-1, 1, 1117, 107), (-1, 1, 1118, 108), (-1, 1, 1119, 109), (-1, 1, 1120, 110), (-1, 1, 1121, 111), (-1, 1, 1122, 113), (-1, 1, 1123, 114), (-1, 1, 1124, 115), (-1, 1, 1125, 116), (-1, 1, 1126, 117), (-1, 1, 1127, 118), (-1, 1, 1128, 119), (-1, 1, 1129, 120), (-1, 1, 1130, 121), (-1, 1, 1131, 123), (-1, 1, 1132, 124), (-1, 1, 1133, 125), (-1, 1, 1134, 126), (-1, 1, 1135, 127), (-1, 1, 1136, 128), (-1, 1, 1137, 129), (-1, 0, 1138, 131), (-1, 0, 1139, 132), (-1, 0, 1140, 134), (-1, 0, 1141, 135), (-1, 0, 1142, 136), (-1, 0, 1143, 137), (-1, 0, 1144, 138), (-1, 0, 1145, 139), (-1, 0, 1146, 140), (-1, 0, 1147, 141), (-1, 0, 1148, 142), (-1, 0, 1149, 143), (-1, 0, 1150, 145), (-1, 0, 1151, 146), (-1, 0, 1152, 147), (-1, 0, 1153, 148), (-1, 0, 1154, 149), (-1, 0, 1155, 150), (-1, 0, 1156, 151), (-1, 0, 1157, 152), (-1, 0, 1158, 153), (-1, 0, 1159, 155), (-1, 0, 1160, 156), (-1, 0, 1161, 157), (-1, 0, 1162, 158), (-1, 0, 1163, 159), (-1, 0, 1164, 160), (-1, 0, 1165, 161), (-1, 0, 1166, 162), (-1, 0, 1167, 163), (-1, 0, 1168, 165), (-1, 0, 1169, 166), (-1, 0, 1170, 167), (-1, 0, 1171, 168), (-1, 0, 1172, 169), (-1, 0, 1173, 170), (-1, 0, 1174, 171), (-1, 0, 1175, 172), (-1, 0, 1176, 173), (-1, 0, 1177, 175), (-1, 0, 1178, 176), (-1, 0, 1179, 177), (-1, 0, 1180, 178), (-1, 0, 1181, 179), (-1, 0, 1182, 180), (-1, 0, 1183, 182), (-1, 0, 1184, 183), (-1, 0, 1185, 184), (-1, 0, 1186, 186), (-1, 0, 1187, 187), (-1, 0, 1188, 188), (-1, 0, 1189, 190), (-1, 0, 1190, 191), (-1, 0, 1191, 193), (-1, 0, 1192, 194), (-1, 0, 1193, 195), (-1, 0, 1194, 197), (-1, 0, 1195, 198), (-1, 0, 1196, 199), (-1, 0, 1197, 201), (-1, 0, 1198, 202), (-1, 0, 1199, 204), (-1, 0, 1200, 205), (-1, 0, 1201, 206), (-1, 0, 1202, 208), (-1, 0, 1203, 209), (-1, 0, 1204, 210), (-1, 274, 1204, 1), (-1, 0, 1205, 212), (-1, 273, 1205, 4), (-1, 0, 1206, 213), (-1, 272, 1206, 6), (-1, 0, 1207, 215), (-1, 271, 1207, 9), (-1, 0, 1208, 216), (-1, 269, 1208, 12), (-1, 0, 1209, 217), (-1, 268, 1209, 15), (-1, 0, 1210, 219), (-1, 267, 1210, 17), (-1, 0, 1211, 220), (-1, 266, 1211, 20), (-1, 0, 1212, 221), (-1, 265, 1212, 23), (-1, 0, 1213, 223), (-1, 264, 1213, 25), (-1, 0, 1214, 224), (-1, 263, 1214, 28), (-1, 0, 1215, 226), (-1, 262, 1215, 30), (-1, 0, 1216, 227), (-1, 261, 1216, 33), (-1, 0, 1217, 228), (-1, 259, 1217, 36), (-1, 0, 1218, 230), (-1, 258, 1218, 39), (-1, 0, 1219, 231), (-1, 257, 1219, 41), (-1, 0, 1220, 232), (-1, 256, 1220, 44), (-1, 0, 1221, 234), (-1, 255, 1221, 46), (-1, 0, 1222, 235), (-1, 254, 1222, 49), (-1, 0, 1223, 237), (-1, 253, 1223, 51), (-1, 0, 1224, 238), (-1, 252, 1224, 54), (-1, 0, 1225, 239), (-1, 251, 1225, 57), (-1, 0, 1226, 241), (-1, 249, 1226, 60), (-1, 0, 1227, 242), (-1, 248, 1227, 63), (-1, 0, 1228, 243), (-1, 247, 1228, 65), (-1, 0, 1229, 245), (-1, 246, 1229, 68), (-1, 0, 1230, 315), (-1, 0, 1231, 317), (-1, 0, 1232, 318), (-1, 0, 1233, 320), (-1, 0, 1234, 321), (-1, 0, 1235, 323), (-1, 0, 1236, 324), (-1, 0, 1237, 326), (-1, 0, 1238, 328), (-1, 0, 1239, 329), (-1, 0, 1240, 331), (-1, 0, 1241, 332), (-1, 0, 1242, 334), (-1, 0, 1243, 335), (-1, 0, 1244, 337), (-1, 0, 1245, 338), (-1, 0, 1246, 337), (-1, 0, 1247, 336), (-1, 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Rotation of photo 1003369118 of 90 degree
temp/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8103040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c81034c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d03d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d05b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0e50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d01f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d04c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b25e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2f40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b22e0>] 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 : 0.012450218200683594
nb_pixel_total : 110633
time to create 1 rle with old method : 0.10840511322021484
.time for calcul the mask position with numpy : 0.011668205261230469
nb_pixel_total : 15826
time to create 1 rle with old method : 0.017168760299682617
.time for calcul the mask position with numpy : 0.01128530502319336
nb_pixel_total : 5286
time to create 1 rle with old method : 0.006242275238037109
.time for calcul the mask position with numpy : 0.01018977165222168
nb_pixel_total : 1633
time to create 1 rle with old method : 0.0019311904907226562
.time for calcul the mask position with numpy : 0.010522603988647461
nb_pixel_total : 105533
time to create 1 rle with old method : 0.12216377258300781
.time for calcul the mask position with numpy : 0.01004934310913086
nb_pixel_total : 4393
time to create 1 rle with old method : 0.005305051803588867
.time for calcul the mask position with numpy : 0.010951042175292969
nb_pixel_total : 632
time to create 1 rle with old method : 0.0008807182312011719
.time for calcul the mask position with numpy : 0.011830568313598633
nb_pixel_total : 62627
time to create 1 rle with old method : 0.06659054756164551
.time for calcul the mask position with numpy : 0.011095762252807617
nb_pixel_total : 33681
time to create 1 rle with old method : 0.03530740737915039
.time for calcul the mask position with numpy : 0.01117849349975586
nb_pixel_total : 37724
time to create 1 rle with old method : 0.040081024169921875
.time for calcul the mask position with numpy : 0.011179924011230469
nb_pixel_total : 48775
time to create 1 rle with old method : 0.05076479911804199
.time for calcul the mask position with numpy : 0.043416738510131836
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.1971426010131836
.time for calcul the mask position with numpy : 0.00916910171508789
nb_pixel_total : 2310
time to create 1 rle with old method : 0.0024836063385009766
.time for calcul the mask position with numpy : 0.009764671325683594
nb_pixel_total : 2256
time to create 1 rle with old method : 0.002409219741821289
.time for calcul the mask position with numpy : 0.009595394134521484
nb_pixel_total : 3112
time to create 1 rle with old method : 0.003312349319458008
.time for calcul the mask position with numpy : 0.009514808654785156
nb_pixel_total : 1662
time to create 1 rle with old method : 0.0018377304077148438
.len(list_crops_rotate) : 16
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Rotation of photo 1003369118 of 180 degree
temp/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8103040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c81034c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d03d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d05b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0e50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d01f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d04c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b25e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2f40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b22e0>] 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 : 0.010262012481689453
nb_pixel_total : 110633
time to create 1 rle with old method : 0.11739540100097656
.time for calcul the mask position with numpy : 0.010304689407348633
nb_pixel_total : 15826
time to create 1 rle with old method : 0.016633987426757812
.time for calcul the mask position with numpy : 0.009302616119384766
nb_pixel_total : 5286
time to create 1 rle with old method : 0.005671501159667969
.time for calcul the mask position with numpy : 0.009752750396728516
nb_pixel_total : 1633
time to create 1 rle with old method : 0.0018115043640136719
.time for calcul the mask position with numpy : 0.01049041748046875
nb_pixel_total : 105533
time to create 1 rle with old method : 0.10986685752868652
.time for calcul the mask position with numpy : 0.009634017944335938
nb_pixel_total : 4393
time to create 1 rle with old method : 0.004674673080444336
.time for calcul the mask position with numpy : 0.009656429290771484
nb_pixel_total : 632
time to create 1 rle with old method : 0.0007455348968505859
.time for calcul the mask position with numpy : 0.00999903678894043
nb_pixel_total : 62627
time to create 1 rle with old method : 0.06558370590209961
.time for calcul the mask position with numpy : 0.010107278823852539
nb_pixel_total : 33681
time to create 1 rle with old method : 0.03652143478393555
.time for calcul the mask position with numpy : 0.010160684585571289
nb_pixel_total : 37724
time to create 1 rle with old method : 0.04104495048522949
.time for calcul the mask position with numpy : 0.01112222671508789
nb_pixel_total : 48775
time to create 1 rle with old method : 0.05626106262207031
.time for calcul the mask position with numpy : 0.11900877952575684
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.2672607898712158
.time for calcul the mask position with numpy : 0.010120153427124023
nb_pixel_total : 2310
time to create 1 rle with old method : 0.002560138702392578
.time for calcul the mask position with numpy : 0.01105952262878418
nb_pixel_total : 2256
time to create 1 rle with old method : 0.0025060176849365234
.time for calcul the mask position with numpy : 0.009392738342285156
nb_pixel_total : 3112
time to create 1 rle with old method : 0.003334522247314453
.time for calcul the mask position with numpy : 0.010180234909057617
nb_pixel_total : 1662
time to create 1 rle with old method : 0.0019414424896240234
.len(list_crops_rotate) : 16
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Rotation of photo 1003369118 of 270 degree
temp/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c8103040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c81034c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d03d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d05b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0e50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d01f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d0730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680d04c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b25e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2f40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b22e0>] 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 : 0.01095724105834961
nb_pixel_total : 110633
time to create 1 rle with old method : 0.12033247947692871
.time for calcul the mask position with numpy : 0.009938955307006836
nb_pixel_total : 15826
time to create 1 rle with old method : 0.016849994659423828
.time for calcul the mask position with numpy : 0.009697198867797852
nb_pixel_total : 5286
time to create 1 rle with old method : 0.005661964416503906
.time for calcul the mask position with numpy : 0.009696722030639648
nb_pixel_total : 1633
time to create 1 rle with old method : 0.0018439292907714844
.time for calcul the mask position with numpy : 0.010024785995483398
nb_pixel_total : 105533
time to create 1 rle with old method : 0.11061882972717285
.time for calcul the mask position with numpy : 0.009359359741210938
nb_pixel_total : 4393
time to create 1 rle with old method : 0.004650592803955078
.time for calcul the mask position with numpy : 0.009632587432861328
nb_pixel_total : 632
time to create 1 rle with old method : 0.0007569789886474609
.time for calcul the mask position with numpy : 0.010407686233520508
nb_pixel_total : 62627
time to create 1 rle with old method : 0.06385135650634766
.time for calcul the mask position with numpy : 0.009928703308105469
nb_pixel_total : 33681
time to create 1 rle with old method : 0.03525209426879883
.time for calcul the mask position with numpy : 0.010845422744750977
nb_pixel_total : 37724
time to create 1 rle with old method : 0.03911328315734863
.time for calcul the mask position with numpy : 0.01015615463256836
nb_pixel_total : 48775
time to create 1 rle with old method : 0.051156044006347656
.time for calcul the mask position with numpy : 0.0464634895324707
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.35222315788269043
.time for calcul the mask position with numpy : 0.009433269500732422
nb_pixel_total : 2310
time to create 1 rle with old method : 0.002552032470703125
.time for calcul the mask position with numpy : 0.00971841812133789
nb_pixel_total : 2256
time to create 1 rle with old method : 0.0024940967559814453
.time for calcul the mask position with numpy : 0.010329246520996094
nb_pixel_total : 3112
time to create 1 rle with old method : 0.0033490657806396484
.time for calcul the mask position with numpy : 0.011454582214355469
nb_pixel_total : 1662
time to create 1 rle with old method : 0.0018262863159179688
.len(list_crops_rotate) : 16
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25), (-1, 1396, 626, 25), (-1, 1396, 627, 25), (-1, 1395, 628, 26), (-1, 1395, 629, 26), (-1, 1395, 630, 25), (-1, 1395, 631, 25), (-1, 1394, 632, 26), (-1, 1394, 633, 26), (-1, 1394, 634, 26), (-1, 1394, 635, 26), (-1, 1394, 636, 26), (-1, 1393, 637, 27), (-1, 1393, 638, 27), (-1, 1393, 639, 27), (-1, 1393, 640, 27), (-1, 1392, 641, 28), (-1, 1392, 642, 28), (-1, 1392, 643, 28), (-1, 1392, 644, 28), (-1, 1392, 645, 28), (-1, 1392, 646, 28), (-1, 1392, 647, 27), (-1, 1392, 648, 27), (-1, 1392, 649, 27), (-1, 1392, 650, 27), (-1, 1392, 651, 27), (-1, 1392, 652, 27), (-1, 1392, 653, 27), (-1, 1392, 654, 27), (-1, 1392, 655, 27), (-1, 1392, 656, 27), (-1, 1392, 657, 27), (-1, 1392, 658, 27), (-1, 1392, 659, 27), (-1, 1392, 660, 27), (-1, 1392, 661, 27), (-1, 1394, 662, 25), (-1, 1396, 663, 22), (-1, 1399, 664, 19), (-1, 1401, 665, 17), (-1, 1404, 666, 14), (-1, 1406, 667, 12), (-1, 1409, 668, 9), (-1, 1411, 669, 7), (-1, 1414, 670, 4), (-1, 1416, 671, 2)], 'hashtag': '', 'sum_segment': 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, 44), (-1, 159, 1142, 44), (-1, 159, 1143, 45), (-1, 159, 1144, 45), (-1, 159, 1145, 46), (-1, 159, 1146, 46), (-1, 159, 1147, 46), (-1, 159, 1148, 46), (-1, 159, 1149, 46), (-1, 159, 1150, 46), (-1, 159, 1151, 46), (-1, 159, 1152, 45), (-1, 159, 1153, 44), (-1, 158, 1154, 45), (-1, 158, 1155, 44), (-1, 157, 1156, 44), (-1, 157, 1157, 43), (-1, 156, 1158, 44), (-1, 156, 1159, 43), (-1, 155, 1160, 43), (-1, 154, 1161, 43), (-1, 154, 1162, 42), (-1, 153, 1163, 43), (-1, 153, 1164, 42), (-1, 152, 1165, 42), (-1, 151, 1166, 42), (-1, 151, 1167, 42), (-1, 150, 1168, 42), (-1, 150, 1169, 41), (-1, 149, 1170, 41), (-1, 149, 1171, 40), (-1, 148, 1172, 41), (-1, 147, 1173, 41), (-1, 147, 1174, 40), (-1, 146, 1175, 40), (-1, 145, 1176, 41), (-1, 144, 1177, 41), (-1, 144, 1178, 40), (-1, 143, 1179, 40), (-1, 142, 1180, 40), (-1, 141, 1181, 41), (-1, 141, 1182, 40), (-1, 140, 1183, 40), (-1, 139, 1184, 40), (-1, 139, 1185, 40), (-1, 139, 1186, 39), (-1, 140, 1187, 37), (-1, 140, 1188, 36), (-1, 140, 1189, 35), (-1, 140, 1190, 35), (-1, 140, 1191, 34), (-1, 141, 1192, 32), (-1, 141, 1193, 31), (-1, 141, 1194, 29), (-1, 141, 1195, 27), (-1, 142, 1196, 24), (-1, 142, 1197, 22), (-1, 142, 1198, 19), (-1, 150, 1199, 8)], 'hashtag': '', 'sum_segment': 0},<class 'mtr.simple_image_editor.image_utils.CHI'>: {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 531, 'x1': 606, 'y0': 311, 'y1': 371, 'score': 1.0, 'id': None, 'points': ['596,310,530,361,536,370,573,346,582,355,596,351,605,345,600,327'], 'sub_photo_id': 0, 'rles': [(-1, 597, 311, 1), (-1, 596, 312, 2), (-1, 594, 313, 4), (-1, 593, 314, 6), (-1, 592, 315, 7), (-1, 590, 316, 9), (-1, 589, 317, 10), (-1, 588, 318, 12), (-1, 586, 319, 14), (-1, 585, 320, 15), (-1, 584, 321, 16), (-1, 583, 322, 18), (-1, 581, 323, 20), (-1, 580, 324, 21), (-1, 579, 325, 22), (-1, 577, 326, 25), (-1, 576, 327, 26), (-1, 575, 328, 27), (-1, 574, 329, 28), (-1, 572, 330, 31), (-1, 571, 331, 32), (-1, 570, 332, 33), (-1, 568, 333, 35), (-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 : 20145656
init cache_photo without model_param  
we have 4 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1738442480_1556235
we have uploaded 4 photos in the portfolio 20145656

time of upload the photos Elapsed time : 1.862640380859375

 map_filename_photo_id : 4
 map_filename_photo_id : {'temp/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_658263370.jpg': 1333779056, 'temp/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_6582633790.jpg': 1333779057, 'temp/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_65826337180.jpg': 1333779058, 'temp/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_65826337270.jpg': 1333779059}
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 0x7ef8680b2b80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2a90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2580>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2ee0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2e80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2e20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2f70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b28e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b26a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b22b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b29d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2cd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2be0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2b50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2c70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b23d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2c10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b24c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2d90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2820>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b28b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b29a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b25b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b27c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2df0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b27f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2ca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2520>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2ac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde0d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cdebe0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde8e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cdec70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde220>]
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 : 17.593669414520264
time spend to save output : 0.00014591217041015625
total time spend for step 1 : 17.593815326690674

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 : {1333779056: ['1003369118', 'temp/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_658263370.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2b80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2a90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2580>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2ee0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2e80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2e20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2d00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2f70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b28e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b26a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b22b0>]], 1333779057: ['1003369118', 'temp/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_6582633790.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2730>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b29d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2cd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2be0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2b50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2370>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2460>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2c70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b23d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2c10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b24c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2100>]], 1333779058: ['1003369118', 'temp/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_65826337180.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2760>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2700>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2d90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2820>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b28b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b29a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2fd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b25b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2640>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b27c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2df0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b27f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2ca0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2520>]], 1333779059: ['1003369118', 'temp/1738442465_1556235_1003369118_58171420504d0b5f05a1233b6c515509_65826337270.jpg', [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef8680b2ac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde0d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cdebe0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde880>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde790>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde940>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde8e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cdec70>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c9cde220>]]}
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1333779056,1333779057,1333779058,1333779059) 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 (3649183388,3649183392,3649183389,3649183403,3649183390,3649183391,3649183399,3649183395,3649183393,3649183397,3649183394,3649183398,3649183396,3649183401,3649183402,3649183400,3649183408,3649183415,3649183405,3649183406,3649183414,3649183419,3649183411,3649183407,3649183404,3649183413,3649183410,3649183409,3649183412,3649183417,3649183416,3649183418,3649183431,3649183430,3649183429,3649183426,3649183427,3649183425,3649183424,3649183422,3649183420,3649183423,3649183435,3649183421,3649183428,3649183432,3649183434,3649183433,3649183436,3649183443,3649183447,3649183445,3649183441,3649183442,3649183446,3649183439,3649183451,3649183437,3649183438,3649183440,3649183444,3649183450,3649183448,3649183449)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3649183388,3649183392,3649183389,3649183403,3649183390,3649183391,3649183399,3649183395,3649183393,3649183397,3649183394,3649183398,3649183396,3649183401,3649183402,3649183400,3649183408,3649183415,3649183405,3649183406,3649183414,3649183419,3649183411,3649183407,3649183404,3649183413,3649183410,3649183409,3649183412,3649183417,3649183416,3649183418,3649183431,3649183430,3649183429,3649183426,3649183427,3649183425,3649183424,3649183422,3649183420,3649183423,3649183435,3649183421,3649183428,3649183432,3649183434,3649183433,3649183436,3649183443,3649183447,3649183445,3649183441,3649183442,3649183446,3649183439,3649183451,3649183437,3649183438,3649183440,3649183444,3649183450,3649183448,3649183449)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3649183388,3649183392,3649183389,3649183403,3649183390,3649183391,3649183399,3649183395,3649183393,3649183397,3649183394,3649183398,3649183396,3649183401,3649183402,3649183400,3649183408,3649183415,3649183405,3649183406,3649183414,3649183419,3649183411,3649183407,3649183404,3649183413,3649183410,3649183409,3649183412,3649183417,3649183416,3649183418,3649183431,3649183430,3649183429,3649183426,3649183427,3649183425,3649183424,3649183422,3649183420,3649183423,3649183435,3649183421,3649183428,3649183432,3649183434,3649183433,3649183436,3649183443,3649183447,3649183445,3649183441,3649183442,3649183446,3649183439,3649183451,3649183437,3649183438,3649183440,3649183444,3649183450,3649183448,3649183449)
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 : 0.28141140937805176
#### 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
Sat Feb  1 21:41:23 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
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1738442483_1556235_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724}
map_photo_id_path_extension : {1009068683: {'path': 'temp/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1738442483_1556235_1009068724_3e705379f97632c4a2fd676e348a335d.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step merge_mask_thcl_custom
args ['temp/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'temp/1738442483_1556235_1009068724_3e705379f97632c4a2fd676e348a335d.jpg']
processing picture : temp/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg
processing picture : temp/1738442483_1556235_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 : 0.30422139167785645
time spend to save output : 8.463859558105469e-05
total time spend for step 1 : 0.3043060302734375

step2:rle_unique_nms_with_priority
Sat Feb  1 21:41:24 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
complete output_args for input 0 : ['temp/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'temp/1738442483_1556235_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/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1738442483_1556235_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724}
map_photo_id_path_extension : {1009068683: {'path': 'temp/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1738442483_1556235_1009068724_3e705379f97632c4a2fd676e348a335d.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg
on traite la photo : temp/1738442483_1556235_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  : 2.2943639755249023
create new chi : 4.363059997558594e-05
 proportion hashtag : pet_clair 0.5317132844650205
 proportion hashtag : contaminant 0.002766525205761317
time to delete rle : 0.034928321838378906
save time : 3.4332275390625e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 2.656904458999634
create new chi : 3.933906555175781e-05
 proportion hashtag : pet_clair 0.5582751414609054
time to delete rle : 0.013098478317260742
save time : 1.5020370483398438e-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 : {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 : 5.1817467212677
time spend to save output : 0.0001595020294189453
total time spend for step 2 : 5.181906223297119

step3:ventilate_hashtags_in_portfolio
Sat Feb  1 21:41:29 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
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/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1738442483_1556235_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724}
map_photo_id_path_extension : {1009068683: {'path': 'temp/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1738442483_1556235_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, 1, 20, 51, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 20, 51, 14), '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, 1, 20, 51, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 20, 51, 14), '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, 1, 20, 51, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 20, 51, 14), '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, 1, 20, 51, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 20, 51, 14), '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, 1, 20, 51, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 20, 51, 14), '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, 1, 20, 51, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 20, 51, 14), '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, 1, 20, 51, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 20, 51, 14), '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 : 0.37684082984924316
time spend to save output : 5.245208740234375e-05
total time spend for step 3 : 0.3768932819366455

step4:final
Sat Feb  1 21:41:29 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
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/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1738442483_1556235_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724}
map_photo_id_path_extension : {1009068683: {'path': 'temp/1738442483_1556235_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1738442483_1556235_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 : 0.09532952308654785
time spend to save output : 5.412101745605469e-05
total time spend for step 4 : 0.0953836441040039

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 : 0.013294458389282227
 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 1008921657
begin to download photo : 1008921656
download finish for photo 1008922003
begin to download photo : 1008922002
download finish for photo 1008921601
begin to download photo : 1008921600
download finish for photo 1008922095
begin to download photo : 1008922073
download finish for photo 1008922130
begin to download photo : 1008922101
download finish for photo 1008922002
begin to download photo : 1008921786
download finish for photo 1008921656
begin to download photo : 1008921602
download finish for photo 1008921600
download finish for photo 1008922101
begin to download photo : 1008922097
download finish for photo 1008922073
begin to download photo : 1008922072
download finish for photo 1008921602
download finish for photo 1008922097
download finish for photo 1008921786
download finish for photo 1008922072
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 : 1.0769264698028564
#### 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
Sat Feb  1 21:41:31 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
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.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 ( 1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008922095,1008922073,1008922072) 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 ( 1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008922095,1008922073,1008922072) 

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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008922095,1008922073,1008922072) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008922095,1008922073,1008922072) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008922095,1008922073,1008922072) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008922095,1008922073,1008922072) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008922095,1008922073,1008922072) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008922095,1008922073,1008922072) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008922095,1008922073,1008922072) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008922095,1008922073,1008922072) 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 : 11.027728796005249
time spend to save output : 0.0004451274871826172
total time spend for step 1 : 11.028173923492432

step2:thcl
Sat Feb  1 21:41:42 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
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/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.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 : 0.00090789794921875
time spend to save output : 2.765655517578125e-05
total time spend for step 2 : 0.0009355545043945312

step3:argmax
Sat Feb  1 21:41:42 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
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/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.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 : 9.226799011230469e-05
time spend to save output : 2.2649765014648438e-05
total time spend for step 3 : 0.00011491775512695312

step4:merge_mask_and_thcl
Sat Feb  1 21:41:42 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
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/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.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 : 0.00010347366333007812
time spend to save output : 2.8371810913085938e-05
total time spend for step 4 : 0.00013184547424316406

step5:rle_unique_nms_with_priority
Sat Feb  1 21:41:42 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
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/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.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/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg
on traite la photo : temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg
on traite la photo : temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg
on traite la photo : temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg
on traite la photo : temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg
on traite la photo : temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg
on traite la photo : temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg
on traite la photo : temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg
on traite la photo : temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg
on traite la photo : temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg
on traite la photo : temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg
on traite la photo : temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg
on traite la photo : temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg
on traite la photo : temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg
batch 1
select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids  where photo_id in ( 1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922003,1008922002,1008921786,1008922095,1008922073,1008922072) 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  : 2.468940496444702
create new chi : 0.008165836334228516
 proportion hashtag : refus 0.011822314499524865
 proportion hashtag : papier 0.9824540455733292
time to delete rle : 0.4215114116668701
save time : 1.1920928955078125e-05
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 2.178657054901123
create new chi : 0.006528615951538086
 proportion hashtag : refus 0.01255295771301869
 proportion hashtag : papier 0.9863322081881533
time to delete rle : 0.46582579612731934
save time : 9.059906005859375e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.0016002655029297
create new chi : 0.006621599197387695
 proportion hashtag : papier 0.994315707158695
time to delete rle : 0.40984272956848145
save time : 1.7881393432617188e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 0.794945240020752
create new chi : 2.2172927856445312e-05
 proportion hashtag : refus 0.0018834633354450428
 proportion hashtag : papier 0.9981165366645549
time to delete rle : 0.6750032901763916
save time : 8.58306884765625e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.214707374572754
create new chi : 2.1696090698242188e-05
 proportion hashtag : refus 0.011059624445676274
 proportion hashtag : papier 0.9889403755543237
time to delete rle : 0.39508533477783203
save time : 4.0531158447265625e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.1482863426208496
create new chi : 2.1696090698242188e-05
 proportion hashtag : refus 0.009172696586949636
 proportion hashtag : papier 0.9908273034130504
time to delete rle : 0.6084287166595459
save time : 5.245208740234375e-06
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 1.3451988697052002
create new chi : 0.007738590240478516
 proportion hashtag : papier 0.9896722560975609
 proportion hashtag : refus 0.001785095620842572
time to delete rle : 0.5799612998962402
save time : 4.0531158447265625e-06
nb_obj : 0
nb_hashtags :  2
time to prepare the origin masks  : 1.4564621448516846
create new chi : 0.006651878356933594
 proportion hashtag : papier 0.9968715354767184
 proportion hashtag : refus 0.00213167168197656
time to delete rle : 0.5124514102935791
save time : 3.5762786865234375e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.0718474388122559
create new chi : 2.1696090698242188e-05
 proportion hashtag : refus 0.010260185698447893
 proportion hashtag : papier 0.9897398143015521
time to delete rle : 0.5047585964202881
save time : 4.0531158447265625e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.0917465686798096
create new chi : 0.006347179412841797
 proportion hashtag : papier 0.98686463117675
time to delete rle : 0.27754902839660645
save time : 4.0531158447265625e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.1339023113250732
create new chi : 4.1484832763671875e-05
 proportion hashtag : refus 0.0024127929996832437
 proportion hashtag : papier 0.9975872070003168
time to delete rle : 0.45029616355895996
save time : 4.0531158447265625e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.5130975246429443
create new chi : 0.0066509246826171875
 proportion hashtag : papier 0.9585115913050364
time to delete rle : 0.4036850929260254
save time : 8.344650268554688e-06
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.291917085647583
create new chi : 8.320808410644531e-05
 proportion hashtag : refus 0.0034527686490338928
 proportion hashtag : papier 0.9965472313509661
time to delete rle : 0.4361686706542969
save time : 2.002716064453125e-05
nb_obj : 0
nb_hashtags :  1
time to prepare the origin masks  : 1.5859479904174805
create new chi : 1.9311904907226562e-05
 proportion hashtag : refus 0.006595957396262274
 proportion hashtag : papier 0.9934040426037377
time to delete rle : 0.46886754035949707
save time : 8.58306884765625e-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 : {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), 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), 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), 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)}
End step rle-unique-nms

After datou_step_exec type output : <class 'dict'>

time spend for datou_step_exec : 27.962932586669922
time spend to save output : 0.00014448165893554688
total time spend for step 5 : 27.963077068328857

step6:ventilate_hashtags_in_portfolio
Sat Feb  1 21:42:10 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
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/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.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 ['papier', 'refus']
 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 ('papier','refus'))  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 ('papier','refus'))  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, 1, 17, 29, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 29, 17), '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, 1, 17, 29, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 29, 17), '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 ['papier', 'refus']
 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 ('papier','refus'))  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 ('papier','refus'))  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, 1, 17, 29, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 29, 17), '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, 1, 17, 29, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 29, 17), '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 : 0.15376687049865723
time spend to save output : 8.869171142578125e-05
total time spend for step 6 : 0.153855562210083

step7:final
Sat Feb  1 21:42:10 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
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), 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), 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), 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)}
 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), 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), 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), 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)}
 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), 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), 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), 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)}
 args : 1008921600
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (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), 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), 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), 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)}
 args : 1008921657
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (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), 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), 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), 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)}
 args : 1008921656
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (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), 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), 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), 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)}
 args : 1008921602
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (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), 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), 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), 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)}
 args : 1008922130
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (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), 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), 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), 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)}
 args : 1008922101
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (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), 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), 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), 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)}
 args : 1008922097
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (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), 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), 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), 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)}
 args : 1008922003
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (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), 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), 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), 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)}
 args : 1008922002
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (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), 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), 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), 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)}
 args : 1008921786
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: (0.005230650193135238,), 1008922097: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: (0.005230650193135238,), 1008921786: (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), 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), 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), 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)}
 args : 1008922095
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: (0.005230650193135238,), 1008922097: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: (0.005230650193135238,), 1008921786: (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), 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), 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), 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)}
 args : 1008922073
 depend.output_id : 0
 input_args_next_step : {1008921601: (0.005230650193135238,), 1008921600: (0.005230650193135238,), 1008921657: (0.005230650193135238,), 1008921656: (0.005230650193135238,), 1008921602: (0.005230650193135238,), 1008922130: (0.005230650193135238,), 1008922101: (0.005230650193135238,), 1008922097: (0.005230650193135238,), 1008922003: (0.005230650193135238,), 1008922002: (0.005230650193135238,), 1008921786: (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), 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), 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), 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)}
 args : 1008922072
 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/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786, 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072}
map_photo_id_path_extension : {1008921601: {'path': 'temp/1738442490_1556235_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1738442490_1556235_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1738442490_1556235_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1738442490_1556235_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1738442490_1556235_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1738442490_1556235_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1738442490_1556235_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1738442490_1556235_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1738442490_1556235_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1738442490_1556235_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1738442490_1556235_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1738442490_1556235_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1738442490_1556235_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1738442490_1556235_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.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 : 0.01999378204345703
time spend to save output : 4.7206878662109375e-05
total time spend for step 7 : 0.02004098892211914

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',), 1008921657: ('0.005252307643909098',), 1008921656: ('0.005252307643909098',), 1008921602: ('0.005252307643909098',), 1008922130: ('0.005252307643909098',), 1008922101: ('0.005252307643909098',), 1008922097: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',)}
new output for save of step final : {1008921601: ('0.005252307643909098',), 1008921600: ('0.005252307643909098',), 1008921657: ('0.005252307643909098',), 1008921656: ('0.005252307643909098',), 1008921602: ('0.005252307643909098',), 1008922130: ('0.005252307643909098',), 1008922101: ('0.005252307643909098',), 1008922097: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',)}
[1008921601, 1008921600, 1008921657, 1008921656, 1008921602, 1008922130, 1008922101, 1008922097, 1008922003, 1008922002, 1008921786, 1008922095, 1008922073, 1008922072]
 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, 1008921657, 1008921656, 1008921602, 1008922130, 1008922101, 1008922097, 1008922003, 1008922002, 1008921786, 1008922095, 1008922073, 1008922072]
Looping around the photos to save general results
len do output : 14
/1008921601.Didn't retrieve data
.
/1008921600.Didn't retrieve data
.
/1008921657.Didn't retrieve data
.
/1008921656.Didn't retrieve data
.
/1008921602.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
.
/1008922095.Didn't retrieve data
.
/1008922073.Didn't retrieve data
.
/1008922072.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', '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)
('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', '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)


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', '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), ('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', '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)]
time used for this insertion : 0.0189666748046875
 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',), 1008921657: ('0.005252307643909098',), 1008921656: ('0.005252307643909098',), 1008921602: ('0.005252307643909098',), 1008922130: ('0.005252307643909098',), 1008922101: ('0.005252307643909098',), 1008922097: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',)}
{1008921601: ('0.005252307643909098',), 1008921600: ('0.005252307643909098',), 1008921657: ('0.005252307643909098',), 1008921656: ('0.005252307643909098',), 1008921602: ('0.005252307643909098',), 1008922130: ('0.005252307643909098',), 1008922101: ('0.005252307643909098',), 1008922097: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('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 : 0.014368295669555664
#### 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
Sat Feb  1 21:42:10 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 : {}
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, 1, 17, 29, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 29, 17), '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, 1, 17, 29, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 29, 17), '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, 1, 17, 29, 17), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 29, 17), '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 : 0.05875277519226074
time spend to save output : 8.368492126464844e-05
total time spend for step 1 : 0.05883646011352539

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 0x7ef8680d0d00>
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 : 0.012708187103271484
 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 : 0.26709818840026855
#### 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
Sat Feb  1 21:42:10 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 : {'temp/1738442530_1556235_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg': 1003369118}
map_photo_id_path_extension : {1003369118: {'path': 'temp/1738442530_1556235_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/1738442530_1556235_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 : 0.008452177047729492
nb_pixel_total : 110633
time to create 1 rle with old method : 0.1244204044342041
time for calcul the mask position with numpy : 0.007274150848388672
nb_pixel_total : 15826
time to create 1 rle with old method : 0.017726898193359375
time for calcul the mask position with numpy : 0.0071315765380859375
nb_pixel_total : 5286
time to create 1 rle with old method : 0.006521940231323242
time for calcul the mask position with numpy : 0.007063627243041992
nb_pixel_total : 1633
time to create 1 rle with old method : 0.002154111862182617
time for calcul the mask position with numpy : 0.007421016693115234
nb_pixel_total : 105533
time to create 1 rle with old method : 0.11515331268310547
time for calcul the mask position with numpy : 0.007473945617675781
nb_pixel_total : 4393
time to create 1 rle with old method : 0.005320072174072266
time for calcul the mask position with numpy : 0.007230043411254883
nb_pixel_total : 632
time to create 1 rle with old method : 0.0008542537689208984
time for calcul the mask position with numpy : 0.007864713668823242
nb_pixel_total : 62627
time to create 1 rle with old method : 0.07385373115539551
time for calcul the mask position with numpy : 0.007407426834106445
nb_pixel_total : 33681
time to create 1 rle with old method : 0.03770637512207031
time for calcul the mask position with numpy : 0.00747227668762207
nb_pixel_total : 37724
time to create 1 rle with old method : 0.04102945327758789
time for calcul the mask position with numpy : 0.007613182067871094
nb_pixel_total : 48775
time to create 1 rle with old method : 0.05254554748535156
time for calcul the mask position with numpy : 0.15828371047973633
nb_pixel_total : 1171703
time to create 1 rle with new method : 0.2433912754058838
time for calcul the mask position with numpy : 0.006999015808105469
nb_pixel_total : 2310
time to create 1 rle with old method : 0.002788066864013672
time for calcul the mask position with numpy : 0.007155418395996094
nb_pixel_total : 2256
time to create 1 rle with old method : 0.002900838851928711
time for calcul the mask position with numpy : 0.006774187088012695
nb_pixel_total : 3112
time to create 1 rle with old method : 0.0036323070526123047
time for calcul the mask position with numpy : 0.007055997848510742
nb_pixel_total : 1662
time to create 1 rle with old method : 0.0019309520721435547
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 : 1.249023199081421
time spend to save output : 0.00011682510375976562
total time spend for step 1 : 1.2491400241851807

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/1738442530_1556235_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 : 0.014192581176757812
#### 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
Sat Feb  1 21:42:12 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 : {}
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 5.0067901611328125e-06
 elapsed_time : order_list_meta_photo_and_scores 1.0013580322265625e-05
??????? elapsed_time : fill_and_build_computed_from_old_data 0.0004417896270751953

        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 0.023009061813354492
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 0.005213499069213867
***** 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 0x7ef8680b2f10>
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 0x7ef8680b2550>
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
(1579294, '_______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
(1579294, '_______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 0.9286041259765625
# 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 : 1.0055620670318604
time spend to save output : 4.9114227294921875e-05
total time spend for step 1 : 1.0056111812591553

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 0x7ef7c9cde640>
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 : 0.9539144039154053
 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 : 0.28900980949401855
#### 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
Sat Feb  1 21:42:16 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/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1738442536_1556235_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1738442536_1556235_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step datou_step_copy_crop
processing picture : temp/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg
processing picture : temp/1738442536_1556235_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 : 0.008462667465209961
time spend to save output : 3.838539123535156e-05
total time spend for step 1 : 0.008501052856445312

step2:consolidate_hashtags_from_manual_portfolio
Sat Feb  1 21:42:16 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/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1738442536_1556235_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1738442536_1556235_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 : 3.005298137664795
time spend to save output : 8.0108642578125e-05
total time spend for step 2 : 3.005378246307373

step3:rle_unique_nms_with_priority
Sat Feb  1 21:42:19 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
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/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'temp/1738442536_1556235_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/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1738442536_1556235_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1738442536_1556235_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg
on traite la photo : temp/1738442536_1556235_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  : 9.430887937545776
create new chi : 3.314018249511719e-05
 proportion hashtag : environment 0.29592690382801784
 proportion hashtag : pet_clair 0.39099757399905694
 proportion hashtag : etiquette 0.0016148780435528121
time to delete rle : 0.38967251777648926
save time : 6.198883056640625e-06
nb_obj : 0
nb_hashtags :  3
time to prepare the origin masks  : 10.056952476501465
create new chi : 1.71661376953125e-05
 proportion hashtag : pet_clair 0.5358597032000172
 proportion hashtag : environment 0.16202715754672498
 proportion hashtag : etiquette 0.004007054290980795
time to delete rle : 0.30503344535827637
save time : 3.5762786865234375e-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 : {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 : 20.421494483947754
time spend to save output : 0.00016045570373535156
total time spend for step 3 : 20.42165493965149

step4:ventilate_hashtags_in_portfolio
Sat Feb  1 21:42:40 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
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/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1738442536_1556235_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1738442536_1556235_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, 1, 17, 30, 13), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), '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, 1, 21, 42, 19), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 42, 19)}, '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, 1, 21, 42, 19), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 42, 19)}, '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, 1, 21, 42, 19), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 42, 19)}, '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, 1, 21, 42, 19), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 42, 19)}, '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, 1, 21, 42, 19), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 42, 19)}, '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, 1, 21, 42, 19), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 42, 19)}, '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, 1, 21, 42, 19), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 42, 19)}, '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, 1, 21, 42, 19), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 42, 19)}, '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, 1, 21, 42, 19), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 42, 19)}, '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, 1, 21, 42, 19), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 42, 19)}, '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, 1, 21, 42, 19), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 42, 19)}, '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, 1, 21, 42, 19), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 42, 19)}, '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, 1, 17, 30, 13), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 13), '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 : 0.18415236473083496
time spend to save output : 7.510185241699219e-05
total time spend for step 4 : 0.18422746658325195

step5:final
Sat Feb  1 21:42:40 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
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/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1738442536_1556235_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1738442536_1556235_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 : 0.02199411392211914
time spend to save output : 4.172325134277344e-05
total time spend for step 5 : 0.022035837173461914

step6:blur_detection
Sat Feb  1 21:42:40 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
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/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1738442536_1556235_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1738442536_1556235_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 : 0.004293203353881836
time spend to save output : 5.3882598876953125e-05
total time spend for step 6 : 0.004347085952758789

step7:brightness
Sat Feb  1 21:42:40 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
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/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1738442536_1556235_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1738442536_1556235_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 : 0.02092742919921875
time spend to save output : 2.765655517578125e-05
total time spend for step 7 : 0.02095508575439453

step8:send_mail_cod
Sat Feb  1 21:42:40 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 : {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/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1738442536_1556235_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546}
map_photo_id_path_extension : {1057289467: {'path': 'temp/1738442536_1556235_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1738442536_1556235_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
dans la step send mail cod
work_area:  /home/admin
in order to get the selector url, please entre the license of selector
results_COD_P4709558_01-02-2025_21_42_40.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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.wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/260f36868ad8639bfe08539d97670294_60697461.png
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.imagette46734941738442560/
imagette46734941738442560/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251857_0.png.png
imagette46734941738442560/1634829704_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
imagette46734941738442560
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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wget -O 20.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/6212b28d168de46f1c6294bd8b60d961_90895624.png
imagette46734961738442561
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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.imagette46734971738442562/
imagette46734971738442562/1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269321_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/a00c7d1a2c8432a6364d68164c278304_35227740.png
imagette46734971738442562
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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.imagette46734981738442564/
imagette46734981738442564/1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208355683_0.png.png
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imagette46734981738442564/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225394_0.png.png
imagette46734981738442564/1634829704_286060_1057555409_480dc2121e901ae3d0c4d2bdd163b6fb_rle_crop_2208356978_0.png.png
imagette46734981738442564/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251757_0.png.png
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imagette46734981738442564/1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208355608_0.png.png
imagette46734981738442564/1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208267146_0.png.png
imagette46734981738442564/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208244055_0.png.png
imagette46734981738442564/1634829704_286060_1057555409_480dc2121e901ae3d0c4d2bdd163b6fb_rle_crop_2208355531_0.png.png
imagette46734981738442564/1634847099_952197_1057556393_bbf87e4ef2415091c2a75db8671410b3_rle_crop_2208555525_0.png.png
imagette46734981738442564/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225451_0.png.png
imagette46734981738442564/1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208357152_0.png.png
imagette46734981738442564/1634827697_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
imagette46734981738442564
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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.imagette46735001738442566/
imagette46735001738442566/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208244068_0.png.png
imagette46735001738442566/1634825922_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
imagette46735001738442566
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'}
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.imagette46735011738442566/
imagette46735011738442566/1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208269364_0.png.png
imagette46735021738442566/
wget -O 1.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/b8f11e2d4082d97201c583f79c001cb4_46151338.png
imagette46735011738442566
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 : {}
imagette46735021738442566
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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.imagette46735031738442566/
imagette46735031738442566/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244022_0.png.png
imagette46735031738442566/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251710_0.png.png
imagette46735031738442566/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208132944_0.png.png
imagette46735031738442566/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225492_0.png.png
imagette46735031738442566/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251769_0.png.png
imagette46735031738442566/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133133_0.png.png
imagette46735031738442566/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214689_0.png.png
imagette46735031738442566/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244031_0.png.png
imagette46735031738442566/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225479_0.png.png
imagette46735031738442566/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244040_0.png.png
imagette46735031738442566/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251728_0.png.png
imagette46735031738442566/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244042_0.png.png
imagette46735031738442566/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225462_0.png.png
imagette46735031738442566/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225403_0.png.png
imagette46735031738442566/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133122_0.png.png
imagette46735031738442566/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225483_0.png.png
imagette46735031738442566/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214682_0.png.png
imagette46735031738442566/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225401_0.png.png
imagette46735031738442566/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214696_0.png.png
imagette46735031738442566/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133134_0.png.png
imagette46735041738442568/
imagette46735051738442568/
wget -O 20.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/fce888444ab6590ab8a37cbe3a106c17_45693026.png
imagette46735031738442566
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 : {}
imagette46735041738442568
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 : {}
imagette46735051738442568
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 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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imagette46735061738442568
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
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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 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 10.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/3bd9596ad468aca91fa8a693c53c81ac_59271329.png
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.imagette46735071738442569/
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imagette46735071738442569
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 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 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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imagette46735081738442570/1634710001_3781530_1057289771_6650bcb078dc46bca71773fb4969dca3_rle_crop_2206978156_0.png.png
imagette46735081738442570/1634710122_3781798_1057294236_caaea4d022b2d568805996ef213a3f82_rle_crop_2206977301_0.png.png
imagette46735081738442570/1634708200_3775898_1057289617_d1c97dad6cbc0afcc8e46623680fcb1e_rle_crop_2206951950_0.png.png
wget -O 20.png  http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/20/4d18b7999afe7e8a0635d85de16673f8_61431692.png
imagette46735081738442570
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_01-02-2025_21_42_40.pdf
results_COD_P4709558_01-02-2025_21_42_40.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4709558_01-02-2025_21_42_40.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_01-02-2025_21_42_40.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4709558_01-02-2025_21_42_40.pdf','pdf','','0.48','0.009511382621534484') 
                

After datou_step_exec type output : <class 'str'>

time spend for datou_step_exec : 12.775754451751709
time spend to save output : 6.651878356933594e-05
total time spend for step 8 : 12.775820970535278

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 1057314774
download finish for photo 1057314768
download finish for photo 1057314766
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 : 0.15200591087341309
#### 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
Sat Feb  1 21:42:53 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/1738442573_1556235_1057314774_6bab7ce0e063fda7d35a74c0adf7f25b_17612544.jpg': 1057314774, 'temp/1738442573_1556235_1057314768_3b6c8b2738f519f078355064487ef55f_72134828.jpg': 1057314768, 'temp/1738442573_1556235_1057314766_850e771a4800ad0a89e4fec977bcfedd_29707587.jpg': 1057314766}
map_photo_id_path_extension : {1057314774: {'path': 'temp/1738442573_1556235_1057314774_6bab7ce0e063fda7d35a74c0adf7f25b_17612544.jpg', 'extension': 'jpg'}, 1057314768: {'path': 'temp/1738442573_1556235_1057314768_3b6c8b2738f519f078355064487ef55f_72134828.jpg', 'extension': 'jpg'}, 1057314766: {'path': 'temp/1738442573_1556235_1057314766_850e771a4800ad0a89e4fec977bcfedd_29707587.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 (2208326718,2208326713)
Loaded 2 chid ids of type : 4021
 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2208326713,2208326718)
++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2208326713,2208326718)
SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2208326713,2208326718)

        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 : 2208326718 , rotate : 144
(893, 893)
(224, 507, 8, 227)
(219, 283, 3)
(219, 283)
(893, 893, 3)

time for calcul the mask position with numpy : 0.001140594482421875
nb_pixel_total : 8866
time to create 1 rle with old method : 0.01015472412109375
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 : 0.0012655258178710938
nb_pixel_total : 8866
time to create 1 rle with old method : 0.009769678115844727
begin to treate photo :1057314768
add chi : 2208326718 , rotate : 170
(741, 741)
(272, 617, 3, 122)
(119, 345, 3)
(119, 345)
(741, 741, 3)

time for calcul the mask position with numpy : 0.0010395050048828125
nb_pixel_total : 8874
time to create 1 rle with old method : 0.010346651077270508
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 : 0.0016565322875976562
nb_pixel_total : 80133
time to create 1 rle with old method : 0.08597135543823242
time for calcul the mask position with numpy : 0.0012135505676269531
nb_pixel_total : 8874
time to create 1 rle with old method : 0.009338140487670898
time for calcul the mask position with numpy : 0.0012063980102539062
nb_pixel_total : 8755
time to create 1 rle with old method : 0.008976936340332031
begin to treate photo :1057314766
add chi : 2208326713 , rotate : 150
(874, 874)
(372, 477, 474, 601)
(127, 105, 3)
(127, 105)
(874, 874, 3)

time for calcul the mask position with numpy : 0.0013763904571533203
nb_pixel_total : 6826
time to create 1 rle with old method : 0.007710456848144531
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 : 0.0016362667083740234
nb_pixel_total : 65325
time to create 1 rle with old method : 0.07495331764221191
time for calcul the mask position with numpy : 0.0018227100372314453
nb_pixel_total : 98215
time to create 1 rle with old method : 0.10103034973144531
time for calcul the mask position with numpy : 0.0012943744659423828
nb_pixel_total : 6807
time to create 1 rle with old method : 0.0071849822998046875
time for calcul the mask position with numpy : 0.0011892318725585938
nb_pixel_total : 6826
time to create 1 rle with old method : 0.007126331329345703
init cache_photo without model_param  
we have 1 photo to upload
uploaded to storage server : ovh
folder_temporaire : temp/1738442575_1556235
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 : 224
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3649184096', '423', '363', '1')
...
 last line : ('3649184096', '222', '580', '26')
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/1738442575_1556235
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 : 558
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3649184097', '380', '0', '156')
...
 last line : ('3649184099', '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/1738442575_1556235
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 : 1303
INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) 
 first line : ('3649184100', '0', '4', '1')
...
 last line : ('3649184103', '508', '493', '9')
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 : 2.58259654045105
time spend to save output : 4.76837158203125e-05
total time spend for step 1 : 2.58264422416687

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:  0.005853414535522461
 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 : 0.013213157653808594
#### 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
Sat Feb  1 21:42:56 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 :  0.00038695335388183594
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 : 2.0273308753967285
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 : 3.114241600036621
time spend to save output : 9.942054748535156e-05
total time spend for step 1 : 3.1143410205841064

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 0x7ef86814a310>
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 : 0.016413211822509766
 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 : 0.013262510299682617
#### 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
Sat Feb  1 21:43:00 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 :  1738442582.3658063
done !  1738442582.4988585
{'files': [{'name': 'pca_model.pkl', 'size': 103314, 'last_modified': '2025-02-01T20:43:02.386750', '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 : 2.3828883171081543
time spend to save output : 3.552436828613281e-05
total time spend for step 1 : 2.3829238414764404

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 : 0.01363372802734375
 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 : 0.014081001281738281
#### 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
Sat Feb  1 21:43:02 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 : {}
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 : 2025-02-01 21:43:01 create time in s3 : 2025-02-01 20:43:02
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 :  0.00035858154296875
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 : 4.492424011230469
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 : 5.84989595413208
time spend to save output : 8.177757263183594e-05
total time spend for step 1 : 5.849977731704712

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 0x7ef80434f370>
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 : 0.01714348793029785
 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 : 0.11971306800842285
#### 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
Sat Feb  1 21:43:08 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/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27.jpg': 1105701500, 'temp/1738442588_1556235_1105701516_047b0ce16fe5e308d8512c83125c4058.jpg': 1105701516}
map_photo_id_path_extension : {1105701500: {'path': 'temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27.jpg', 'extension': 'jpg'}, 1105701516: {'path': 'temp/1738442588_1556235_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/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_bib_crop_2436373819_0.jpg
Here we manage polygons !
 new_file_path_bib_crop : temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_bib_crop_2436374262_0.jpg
Here we manage polygons !
 new_file_path_bib_crop : temp/1738442588_1556235_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/1738442588_1556235_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/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_black_2436373819_0.jpg', 'polygon': 'temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_2436373819_0.jpg', 'polygon_crop': 'temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_crop_2436373819_0.jpg', 'blur': 'temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg'}, 2436374262: {'crop': 'temp/1738442588_1556235_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/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_black_2436374262_0.jpg', 'polygon': 'temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_2436374262_0.jpg', 'polygon_crop': 'temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_crop_2436374262_0.jpg', 'blur': 'temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg'}, 2436374092: {'crop': 'temp/1738442588_1556235_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/1738442588_1556235_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_black_2436374092_0.jpg', 'polygon': 'temp/1738442588_1556235_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_2436374092_0.jpg', 'polygon_crop': 'temp/1738442588_1556235_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_crop_2436374092_0.jpg', 'blur': 'temp/1738442588_1556235_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/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1738442588_1556235_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/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1738442588_1556235_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 : 0.171400785446167
time spend to save output : 5.650520324707031e-05
total time spend for step 1 : 0.17145729064941406

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 0x7ef7c9d64790>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7ef7c9d64670>
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7ef7c9d64520>
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 : 0.01853179931640625
 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/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1738442588_1556235_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)]}
ret : {1105703688: [1105701500, 'temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1738442588_1556235_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1738442588_1556235_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 : 0.3565843105316162
#### 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
Sat Feb  1 21:43:09 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/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1738442588_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1738442588_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step datou_step_copy_crop
processing picture : temp/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg
processing picture : temp/1738442588_1556235_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 : 0.06894063949584961
time spend to save output : 4.506111145019531e-05
total time spend for step 1 : 0.0689857006072998

step2:consolidate_hashtags_from_manual_portfolio
Sat Feb  1 21:43:09 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
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/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1738442588_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1738442588_1556235_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 : 2.4903557300567627
time spend to save output : 5.7220458984375e-05
total time spend for step 2 : 2.490412950515747

step3:rle_unique_nms_with_priority
Sat Feb  1 21:43:11 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 : ['temp/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'temp/1738442588_1556235_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/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1738442588_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1738442588_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg
on traite la photo : temp/1738442588_1556235_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 : 0.0315549373626709
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 : 0.03527379035949707
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 : 0.764683723449707
time spend to save output : 0.00010585784912109375
total time spend for step 3 : 0.7647895812988281

step4:ventilate_hashtags_in_portfolio
Sat Feb  1 21:43:12 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
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/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1738442588_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1738442588_1556235_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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 17, 30, 55), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), '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, 1, 17, 30, 55), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 21, 43, 11), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 11)}, '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, 1, 17, 30, 55), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 55), '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 : 0.42796826362609863
time spend to save output : 4.696846008300781e-05
total time spend for step 4 : 0.42801523208618164

step5:final
Sat Feb  1 21:43:12 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
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/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1738442588_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1738442588_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1738442588_1556235_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 : 0.020081758499145508
time spend to save output : 4.100799560546875e-05
total time spend for step 5 : 0.020122766494750977

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 : 0.012809514999389648
 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 : 0.3341057300567627
#### 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
Sat Feb  1 21:43:13 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/1738442592_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1738442592_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1738442592_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1738442592_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step datou_step_copy_crop
processing picture : temp/1738442592_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg
processing picture : temp/1738442592_1556235_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 : 0.051427364349365234
time spend to save output : 3.0994415283203125e-05
total time spend for step 1 : 0.05145835876464844

step2:consolidate_hashtags_from_manual_portfolio
Sat Feb  1 21:43:13 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/1738442592_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1738442592_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1738442592_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1738442592_1556235_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 : 1.5110785961151123
time spend to save output : 5.841255187988281e-05
total time spend for step 2 : 1.5111370086669922

step3:rle_unique_nms_with_priority
Sat Feb  1 21:43:14 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
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/1738442592_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'temp/1738442592_1556235_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/1738442592_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg']
After prepare type args : <class 'list'>

Here we display some param of map_info ! 
map_filenames : {'temp/1738442592_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1738442592_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1738442592_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1738442592_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}}
map_subphoto_mainphoto : {}
Begin step rle-unique-nms
on traite la photo : temp/1738442592_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg
on traite la photo : temp/1738442592_1556235_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 : 0.031548261642456055
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 : 0.032608747482299805
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 : 0.773120641708374
time spend to save output : 8.749961853027344e-05
total time spend for step 3 : 0.7732081413269043

step4:ventilate_hashtags_in_portfolio
Sat Feb  1 21:43:15 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/1738442592_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1738442592_1556235_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377}
map_photo_id_path_extension : {1114046597: {'path': 'temp/1738442592_1556235_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1738442592_1556235_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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 17, 30, 54), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 17, 30, 54), '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), '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, 1, 21, 43, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 14), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 2, 1, 21, 43, 14)}, '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, 1, 21, 43, 12), 'last_updated_at_desc': datetime.datetime(2025, 2, 1, 21, 43, 12), '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 : 0.905449390411377
time spend to save output : 3.743171691894531e-05
total time spend for step 4 : 0.9054868221282959

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 0x7ef949f0a100>
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 : 0.011928796768188477
 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', 'SUCCESS', True), ('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', 'FAILURE', False), ('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 SUCCEEDED #&_#_#&_#

#&_#_#&_# 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 FAILED #&_#_#&_#

#&_#_#&_# 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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"sam": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','sam');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"frcnn": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','frcnn');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"thcl": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','thcl');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"tfhub2": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','tfhub2');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"ordonner": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','ordonner');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rotate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','rotate');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"data_augmentation_ellipse_varroa_tile_rotate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','data_augmentation_ellipse_varroa_tile_rotate');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"flip": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','flip');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"crop_rles": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','crop_rles');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"angular_coeff": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','angular_coeff');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"detection_filter_by_crop": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','detection_filter_by_crop');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"detection_filter_by_classif": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','detection_filter_by_classif');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"blur_detection": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','blur_detection');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"detect_point_224x224": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','detect_point_224x224');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"certificat_qualite_papier": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','certificat_qualite_papier');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"image_temperature_detection": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','image_temperature_detection');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"broca": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','broca');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"crop_conditional": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','crop_conditional');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"image_blanchir": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','image_blanchir');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"darker_image": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','darker_image');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"img_aug": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','img_aug');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rubbia": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','rubbia');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rubbia_split_dark": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','rubbia_split_dark');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rubbia_append": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','rubbia_append');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rubbia_horaire": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','rubbia_horaire');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rle_unique_nms_with_priority": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','rle_unique_nms_with_priority');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"random_deformation": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','random_deformation');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"tile": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','tile');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rotate_chi": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','rotate_chi');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rubbia_carac_pet_clair_0121_no_cnn": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','rubbia_carac_pet_clair_0121_no_cnn');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rubbia_carac_jrm_no_mask_detect": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','rubbia_carac_jrm_no_mask_detect');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"ventilate_hashtags_in_portfolio": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','ventilate_hashtags_in_portfolio');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"poly_ro_rle": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','poly_ro_rle');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"cod_sts": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','cod_sts');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"cod_download": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','cod_download');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"sendgrid": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','sendgrid');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"rym_consolidate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','rym_consolidate');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"generate_new_image_add_crop": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','generate_new_image_add_crop');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"velours_tree": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','velours_tree');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"step ACP": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','step ACP');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"blur_crop": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','blur_crop');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"pma_consolidate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','datou','pma_consolidate');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"pma_ventilate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"CacheModelData_queries": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.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 : 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 : 1109585121
download finish for photo 1109585121
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 : 
[1109585109, 1109585120, 1109585121, 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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"CachePhotoData_queries": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.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 0x7ef80413da60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d9a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413de50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d7c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413deb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413dc40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d6a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d0a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413da30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413dd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413de80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d040>]}
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 0x7ef80413dc10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959df10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959dd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959de20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d3a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959dfd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959dac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d1f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d5e0>]}
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 0x7ef7c959dc40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d7c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d7f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959db80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959de80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d0a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959deb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959da00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959daf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d0d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959dee0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d730>]}
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 0x7ef82836beb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959df10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959dd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959de20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d3a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959dfd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959dac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d1f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d1c0>]}
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 0x7ef7c959d070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959da60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814adf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814a970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814adc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814abe0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814aa90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814a7f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814ae20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814ab80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814a430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814aa30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814a160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814abb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814aeb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814ac10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814af40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814ae50>]}
{2096875719: 'Plaque-immatriculation', 599722655: 'capot'}
{907850592: [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413da60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d9a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413de50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d7c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413deb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413dc40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d6a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d0a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413da30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413dd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413de80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d040>], 907862724: [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959dc40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d190>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d7c0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d850>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d7f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959db80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959de80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d0a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d220>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959deb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d8b0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d400>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d250>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959da00>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959daf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d280>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d0d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959dee0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d730>], 907863602: [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef82836beb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d5e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d2e0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959df10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959dd90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959de20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d3a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d610>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d490>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959dfd0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959dac0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d1f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d040>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d340>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d1c0>], 907863940: [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d070>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959da60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d670>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef7c959d310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814adf0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814a970>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814adc0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814abe0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814aa90>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814a7f0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814ae20>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814ab80>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814a430>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814aa30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814a160>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814abb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814aeb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814ac10>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814af40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef86814ae50>]}
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 0x7ef80413d9a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413da60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413de50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d6a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413dc40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413deb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d0a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413da30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d2e0>]}
{2107755846: 'pet_clair'}
{964453879: [<mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d9a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413da60>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d550>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d910>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d100>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d3d0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413de50>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d310>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d6a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d130>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413dc40>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413deb0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d0a0>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413da30>, <mtr.simple_image_editor.image_utils.CHI object at 0x7ef80413d2e0>]}
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 : 6.151199340820312e-05
nb_pixel_total : 6
time to create 1 rle with old method : 2.6226043701171875e-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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"prepare mask data poly": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','prepare_maskdata','prepare mask data poly');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"prepare mask data rle": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','prepare_maskdata','prepare mask data rle');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"prepare mask data mat": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"portfolio_queries": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.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', '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', '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', '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', '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', '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=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', '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', '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', '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', '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', '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', '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', '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', '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', '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=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', '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', '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', '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', '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', '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', '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', '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', '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', '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=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', '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', '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', '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', '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', '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', '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', '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', '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', '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=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', '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', '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', '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', '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'}, 'emr': {'mat': 'emr', 'pht': 4207, 'datou_carac_id': 3993, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'carton'}, 'jrm': {'mat': 'jrm', 'pht': 3726, 'datou_carac_id': 3459, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier'}, 'ela': {'mat': 'ela', 'pht': 4203, 'datou_carac_id': 3991, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'ela'}, 'pehd_pp': {'mat': 'pehd_pp', 'pht': 4211, 'datou_carac_id': 3995, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pehd'}, 'pet_fonce': {'mat': 'pet_fonce', 'pht': 4200, 'datou_carac_id': 4153, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_fonce'}, 'aluminium': {'mat': 'aluminium', 'pht': 4205, 'datou_carac_id': 3992, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'metal'}, 'refus': {'mat': 'refus', 'pht': 3594, 'datou_carac_id': 3318, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'refus'}, 'pet_clair': {'mat': 'pet_clair', 'pht': 3327, 'datou_carac_id': 3804, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_clair,bouchon,etiquette,barquette_avec_film'}}
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
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
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
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
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
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', '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', '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', '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', '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', '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=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', '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', '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', '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', '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', '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', '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', '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', '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', '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=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', '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', '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', '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', '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', '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', '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', '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', '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', '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', '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=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', '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', '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', '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', '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', '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', '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', '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', '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', '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=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', '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', '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', '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', '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', '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', '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', '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', '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', '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=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', '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', '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', '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', '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', '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', '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', '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', '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', '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=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', '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', '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', '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', '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', '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', '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', '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', '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', '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=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', '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', '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', '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', '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', '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', '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', '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', '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', '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=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', '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', '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', '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'}, 'emr': {'mat': 'emr', 'pht': 4207, 'datou_carac_id': 3993, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'carton'}, 'jrm': {'mat': 'jrm', 'pht': 3726, 'datou_carac_id': 3459, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier'}, 'ela': {'mat': 'ela', 'pht': 4203, 'datou_carac_id': 3991, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'ela'}, 'pet_clair': {'mat': 'pet_clair', 'pht': 3327, 'datou_carac_id': 3804, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_clair,bouchon,etiquette,barquette_avec_film'}, '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'}, 'pet_fonce': {'mat': 'pet_fonce', 'pht': 4200, 'datou_carac_id': 4153, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_fonce'}, 'aluminium': {'mat': 'aluminium', 'pht': 4205, 'datou_carac_id': 3992, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'metal'}, 'refus': {'mat': 'refus', 'pht': 3594, 'datou_carac_id': 3318, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'refus'}}
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
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
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
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
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
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', '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', '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', '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', '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', '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', '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=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', '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', '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', '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', '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', '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', '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', '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', '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', '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=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', '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', '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', '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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"memo": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','sla_mensuel','memo');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"one_day": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','sla_mensuel','one_day');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"get_data": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.txt','sla_mensuel','get_data');
/home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0
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_05fe025ee1e5ffdb2e30a2c702b1f696b76672d0','{"csv": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/February/01022025/python_test3//data_2/data_log/job/2025/February/01022025/python_test3/log-python3----short_python3--v--marlene-21:35:02.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/01022025/python_test3/output_tests_python-2143.html
new path :  /proc/1556235/
164.13user 98.74system 8:16.22elapsed 52%CPU (0avgtext+0avgdata 6441316maxresident)k
6451192inputs+940712outputs (9982major+11618480minor)pagefaults 0swaps