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 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 : 3258 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 : 0.16340994834899902 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 Thu Apr 17 03:35:27 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 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 : 3258 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 2025-04-17 03:35:30.019788: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-17 03:35:30.047184: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-17 03:35:30.049216: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f5250000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-17 03:35:30.049267: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-17 03:35:30.053634: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-17 03:35:30.202894: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x39359040 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-17 03:35:30.202992: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-17 03:35:30.204175: 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 2025-04-17 03:35:30.204712: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-17 03:35:30.207968: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-17 03:35:30.211361: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-17 03:35:30.212015: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-17 03:35:30.215659: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-17 03:35:30.217474: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-17 03:35:30.224980: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-17 03:35:30.226726: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-17 03:35:30.226877: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-17 03:35:30.227850: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-17 03:35:30.227884: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-17 03:35:30.227900: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-17 03:35:30.229086: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2806 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': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2025-04-17 03:35:38.620909: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-17 03:35:38.831811: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-17 03:35:41.103720: W tensorflow/core/common_runtime/bfc_almax_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 : 7035 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 : 0.0004942417144775391 nb_pixel_total : 16902 time to create 1 rle with old method : 0.02291727066040039 length of segment : 107 time for calcul the mask position with numpy : 0.020002365112304688 nb_pixel_total : 480752 time to create 1 rle with new method : 0.035388946533203125 length of segment : 632 time for calcul the mask position with numpy : 0.0005412101745605469 nb_pixel_total : 36587 time to create 1 rle with old method : 0.043059349060058594 length of segment : 132 time for calcul the mask position with numpy : 0.00018262863159179688 nb_pixel_total : 4794 time to create 1 rle with old method : 0.005980968475341797 length of segment : 51 time spent for convertir_results : 0.3359222412109375 time spend for datou_step_exec : 18.00720477104187 time spend to save output : 5.888938903808594e-05 total time spend for step 1 : 18.007263660430908 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 419 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 : 0.013983726501464844 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, 0.9988349, [(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, 0.9977469, [(711, 22, 21), (926, 22, 46), (608, 23, 146), (894, 23, 103), (598, 24, 233), (850, 24, 158), (590, 25, 427), (582, 26, 444), (575, 27, 458), (569, 28, 466), (565, 29, 472), (560, 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['450,47,449,46,443,46,442,45,426,45,424,41,424,37,423,36,422,31,419,25,419,21,418,20,418,17,417,15,409,6,402,3,402,1,413,1,414,0,420,0,421,1,440,1,441,0,500,0,501,1,507,1,508,0,535,0,536,1,543,1,546,2,546,4,542,8,530,18,527,19,525,21,522,22,520,24,512,28,508,33,505,34,502,37,494,41,492,41,490,43,488,43,484,45,473,45,472,46,451,46'])], 'temp/1744853748_1331777_917855882_da0fa7b7e6b5b551fe26c0ba8713276d.jpg']} ############################### 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 : 0.202301025390625 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 Thu Apr 17 03:36:07 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 : 7035 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-04-17 03:36:10.735799: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-17 03:36:10.763103: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-17 03:36:10.765555: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f524c000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-17 03:36:10.765608: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-17 03:36:10.770038: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-17 03:36:11.025972: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x3a948590 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-17 03:36:11.026038: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-17 03:36:11.027391: 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 2025-04-17 03:36:11.027841: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-17 03:36:11.032488: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-17 03:36:11.035542: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-17 03:36:11.036031: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-17 03:36:11.039286: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-17 03:36:11.040629: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-17 03:36:11.045507: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-17 03:36:11.046892: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-17 03:36:11.047012: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-17 03:36:11.047787: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-17 03:36:11.047809: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-17 03:36:11.047822: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-17 03:36:11.049074: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6470 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. 2025-04-17 03:36:11.145777: 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 2025-04-17 03:36:11.145903: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-17 03:36:11.145930: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-17 03:36:11.145953: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-17 03:36:11.145975: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-17 03:36:11.145999: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-17 03:36:11.146021: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-17 03:36:11.146043: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-17 03:36:11.147494: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-17 03:36:11.149426: 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 2025-04-17 03:36:11.149571: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-17 03:36:11.149599: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-17 03:36:11.149623: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-17 03:36:11.149645: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-17 03:36:11.149665: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-17 03:36:11.149685: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-17 03:36:11.149705: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-17 03:36:11.151331: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-17 03:36:11.151398: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-17 03:36:11.151411: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-17 03:36:11.151421: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-17 03:36:11.152913: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6470 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 : [] 2025-04-17 03:36:20.165251: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-17 03:36:20.425198: 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 1336910 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 1746 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 : 7035 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 : 0.23534059524536133 nb_pixel_total : 3693280 time to create 1 rle with new method : 0.29955363273620605 length of segment : 2041 time spent for convertir_results : 1.5997629165649414 time spend for datou_step_exec : 20.3006112575531 time spend to save output : 3.62396240234375e-05 total time spend for step 1 : 20.300647497177124 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 721 chid ids of type : 445 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++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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 : 0.01680922508239746 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, 2268, 118, 2241, 0.9850042, [(675, 120, 112), (520, 121, 481), (1051, 121, 380), (502, 122, 948), (486, 123, 981), (470, 124, 1015), (455, 125, 1046), (442, 126, 1092), (429, 127, 1136), (417, 128, 1168), (405, 129, 1187), (394, 130, 1205), (383, 131, 1223), (373, 132, 1239), (368, 133, 1250), (366, 134, 1258), (363, 135, 1267), (361, 136, 1274), (359, 137, 1281), (357, 138, 1288), (355, 139, 1295), (353, 140, 1302), (351, 141, 1309), (349, 142, 1315), (347, 143, 1320), (345, 144, 1326), (343, 145, 1331), (342, 146, 1335), (340, 147, 1340), (338, 148, 1346), (337, 149, 1349), (335, 150, 1354), (334, 151, 1358), (332, 152, 1363), (331, 153, 1366), (330, 154, 1370), (328, 155, 1375), (327, 156, 1378), (326, 157, 1381), (325, 158, 1385), (323, 159, 1390), (322, 160, 1393), (321, 161, 1397), (319, 162, 1402), (318, 163, 1406), (317, 164, 1410), (315, 165, 1415), (314, 166, 1419), (312, 167, 1424), (310, 168, 1429), (309, 169, 1434), (307, 170, 1439), (305, 171, 1444), (304, 172, 1448), (302, 173, 1453), (300, 174, 1458), (298, 175, 1463), (296, 176, 1469), (294, 177, 1474), (292, 178, 1480), (289, 179, 1487), (286, 180, 1493), (283, 181, 1500), (280, 182, 1508), (278, 183, 1514), (275, 184, 1521), (272, 185, 1529), (269, 186, 1536), (266, 187, 1544), (263, 188, 1552), (260, 189, 1561), (257, 190, 1569), (254, 191, 1579), (251, 192, 1588), (248, 193, 1597), (245, 194, 1606), (242, 195, 1615), (239, 196, 1624), (237, 197, 1631), (234, 198, 1640), (231, 199, 1648), (228, 200, 1657), (225, 201, 1665), (222, 202, 1673), (219, 203, 1681), (216, 204, 1689), (213, 205, 1694), (210, 206, 1699), (208, 207, 1702), (206, 208, 1706), (204, 209, 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['1001,2150,935,2143,759,2089,694,2075,586,2031,371,1987,215,1963,128,1971,54,1825,39,1677,39,1454,29,1244,27,757,21,696,27,543,39,458,93,308,117,277,210,206,291,179,363,135,520,121,1430,121,1584,128,1663,142,1768,178,1904,204,2021,306,2094,411,2148,535,2168,613,2165,833,2128,914,2112,994,2078,1072,2032,1130,2009,1191,1958,1273,1931,1368,1879,1444,1846,1670,1766,1901,1719,1973,1662,2015,1581,2015,1496,2039,1420,2046,1339,2070,1177,2101,1098,2141'])], 'temp/1744853767_1331777_917877156_a9c2d4b99270c9302def4ed40606e685.jpg']} nb pixel non reg : 3692295 nb pixel common : 3690910 proportion of common points : 0.9996248945439083 [('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_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"mask_detection": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','mask_detection','unknown'); #&_# END OF TEST #&_# : tests/mask_test #&_# #&_# BEGIN OF TEST : tests/datou_test #&_# /home/admin/workarea/git/Velours/python/tests/datou_test.py 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 : 0.18736696243286133 #### 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 Thu Apr 17 03:36:35 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744853795_1331777_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png': 1189321094} map_photo_id_path_extension : {1189321094: {'path': 'temp/1744853795_1331777_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 : 0.0025734901428222656 nb_pixel_total : 2942 time to create 1 rle with old method : 0.004826545715332031 time for calcul the mask position with numpy : 0.0017695426940917969 nb_pixel_total : 5621 time to create 1 rle with old method : 0.008873701095581055 time for calcul the mask position with numpy : 0.0021038055419921875 nb_pixel_total : 10796 time to create 1 rle with old method : 0.012775897979736328 time for calcul the mask position with numpy : 0.0016024112701416016 nb_pixel_total : 8627 time to create 1 rle with old method : 0.010196685791015625 time for calcul the mask position with numpy : 0.0025305747985839844 nb_pixel_total : 83958 time to create 1 rle with old method : 0.10354161262512207 time for calcul the mask position with numpy : 0.00202178955078125 nb_pixel_total : 13968 time to create 1 rle with old method : 0.023541927337646484 time for calcul the mask position with numpy : 0.0017604827880859375 nb_pixel_total : 1227 time to create 1 rle with old method : 0.0018274784088134766 time for calcul the mask position with numpy : 0.0018465518951416016 nb_pixel_total : 7862 time to create 1 rle with old method : 0.010869979858398438 time for calcul the mask position with numpy : 0.0016829967498779297 nb_pixel_total : 3302 time to create 1 rle with old method : 0.004762887954711914 time for calcul the mask position with numpy : 0.0018184185028076172 nb_pixel_total : 3781 time to create 1 rle with old method : 0.005199909210205078 time for calcul the mask position with numpy : 0.0021567344665527344 nb_pixel_total : 29371 time to create 1 rle with old method : 0.041175127029418945 time for calcul the mask position with numpy : 0.0018470287322998047 nb_pixel_total : 4278 time to create 1 rle with old method : 0.00612950325012207 time for calcul the mask position with numpy : 0.001783132553100586 nb_pixel_total : 14685 time to create 1 rle with old method : 0.03457331657409668 time for calcul the mask position with numpy : 0.002257108688354492 nb_pixel_total : 2452 time to create 1 rle with old method : 0.005721330642700195 time for calcul the mask position with numpy : 0.0022292137145996094 nb_pixel_total : 3951 time to create 1 rle with old method : 0.009195804595947266 time for calcul the mask position with numpy : 0.002295255661010742 nb_pixel_total : 6644 time to create 1 rle with old method : 0.014964818954467773 time for calcul the mask position with numpy : 0.0021576881408691406 nb_pixel_total : 9920 time to create 1 rle with old method : 0.019025325775146484 time for calcul the mask position with numpy : 0.00194549560546875 nb_pixel_total : 7637 time to create 1 rle with old method : 0.00879979133605957 time for calcul the mask position with numpy : 0.0015633106231689453 nb_pixel_total : 16335 time to create 1 rle with old method : 0.0198819637298584 time for calcul the mask position with numpy : 0.0014138221740722656 nb_pixel_total : 2082 time to create 1 rle with old method : 0.0026819705963134766 time for calcul the mask position with numpy : 0.0019097328186035156 nb_pixel_total : 4272 time to create 1 rle with old method : 0.0053272247314453125 time for calcul the mask position with numpy : 0.0015170574188232422 nb_pixel_total : 5484 time to create 1 rle with old method : 0.006705760955810547 time for calcul the mask position with numpy : 0.0014231204986572266 nb_pixel_total : 2381 time to create 1 rle with old method : 0.0030765533447265625 time for calcul the mask position with numpy : 0.0013861656188964844 nb_pixel_total : 3532 time to create 1 rle with old method : 0.004381656646728516 time for calcul the mask position with numpy : 0.0013914108276367188 nb_pixel_total : 2470 time to create 1 rle with old method : 0.003069639205932617 time for calcul the mask position with numpy : 0.0016689300537109375 nb_pixel_total : 38950 time to create 1 rle with old method : 0.04623770713806152 time for calcul the mask position with numpy : 0.001544952392578125 nb_pixel_total : 16454 time to create 1 rle with old method : 0.024748802185058594 time for calcul the mask position with numpy : 0.0015189647674560547 nb_pixel_total : 11946 time to create 1 rle with old method : 0.014730215072631836 time for calcul the mask position with numpy : 0.0014691352844238281 nb_pixel_total : 2748 time to create 1 rle with old method : 0.003300189971923828 time for calcul the mask position with numpy : 0.001474142074584961 nb_pixel_total : 12825 time to create 1 rle with old method : 0.015984296798706055 time for calcul the mask position with numpy : 0.0014276504516601562 nb_pixel_total : 2772 time to create 1 rle with old method : 0.003443002700805664 time for calcul the mask position with numpy : 0.0013835430145263672 nb_pixel_total : 5407 time to create 1 rle with old method : 0.006775379180908203 time for calcul the mask position with numpy : 0.0014481544494628906 nb_pixel_total : 1025 time to create 1 rle with old method : 0.0013179779052734375 time for calcul the mask position with numpy : 0.0014805793762207031 nb_pixel_total : 10627 time to create 1 rle with old method : 0.012809276580810547 time for calcul the mask position with numpy : 0.0013797283172607422 nb_pixel_total : 4132 time to create 1 rle with old method : 0.005069732666015625 time for calcul the mask position with numpy : 0.0014650821685791016 nb_pixel_total : 1648 time to create 1 rle with old method : 0.002138853073120117 time for calcul the mask position with numpy : 0.0013353824615478516 nb_pixel_total : 342 time to create 1 rle with old method : 0.0004444122314453125 time for calcul the mask position with numpy : 0.001344919204711914 nb_pixel_total : 1247 time to create 1 rle with old method : 0.0014858245849609375 time for calcul the mask position with numpy : 0.0013442039489746094 nb_pixel_total : 3927 time to create 1 rle with old method : 0.005048990249633789 time for calcul the mask position with numpy : 0.0013551712036132812 nb_pixel_total : 4175 time to create 1 rle with old method : 0.005079984664916992 time for calcul the mask position with numpy : 0.0014121532440185547 nb_pixel_total : 419 time to create 1 rle with old method : 0.0005850791931152344 time for calcul the mask position with numpy : 0.0014848709106445312 nb_pixel_total : 13131 time to create 1 rle with old method : 0.014635086059570312 time for calcul the mask position with numpy : 0.001405954360961914 nb_pixel_total : 596 time to create 1 rle with old method : 0.0007889270782470703 time for calcul the mask position with numpy : 0.0014503002166748047 nb_pixel_total : 861 time to create 1 rle with old method : 0.0012552738189697266 time for calcul the mask position with numpy : 0.0014462471008300781 nb_pixel_total : 2420 time to create 1 rle with old method : 0.003124713897705078 time for calcul the mask position with numpy : 0.0015420913696289062 nb_pixel_total : 18593 time to create 1 rle with old method : 0.021219730377197266 time for calcul the mask position with numpy : 0.0014455318450927734 nb_pixel_total : 1856 time to create 1 rle with old method : 0.0023360252380371094 time for calcul the mask position with numpy : 0.0013654232025146484 nb_pixel_total : 2341 time to create 1 rle with old method : 0.0029587745666503906 time for calcul the mask position with numpy : 0.0014824867248535156 nb_pixel_total : 887 time to create 1 rle with old method : 0.0012104511260986328 time for calcul the mask position with numpy : 0.001447439193725586 nb_pixel_total : 877 time to create 1 rle with old method : 0.00127410888671875 time for calcul the mask position with numpy : 0.001439809799194336 nb_pixel_total : 580 time to create 1 rle with old method : 0.000812530517578125 time for calcul the mask position with numpy : 0.0016770362854003906 nb_pixel_total : 39138 time to create 1 rle with old method : 0.05569934844970703 time for calcul the mask position with numpy : 0.0016102790832519531 nb_pixel_total : 8603 time to create 1 rle with old method : 0.010763883590698242 time for calcul the mask position with numpy : 0.0014903545379638672 nb_pixel_total : 1674 time to create 1 rle with old method : 0.002257823944091797 time for calcul the mask position with numpy : 0.0015063285827636719 nb_pixel_total : 693 time to create 1 rle with old method : 0.000965118408203125 time for calcul the mask position with numpy : 0.0014638900756835938 nb_pixel_total : 327 time to create 1 rle with old method : 0.00047969818115234375 time for calcul the mask position with numpy : 0.0014560222625732422 nb_pixel_total : 875 time to create 1 rle with old method : 0.0011577606201171875 time for calcul the mask position with numpy : 0.0015633106231689453 nb_pixel_total : 16524 time to create 1 rle with old method : 0.021952390670776367 time for calcul the mask position with numpy : 0.0015108585357666016 nb_pixel_total : 2770 time to create 1 rle with old method : 0.0038034915924072266 time for calcul the mask position with numpy : 0.001912832260131836 nb_pixel_total : 1655 time to create 1 rle with old method : 0.0052490234375 time for calcul the mask position with numpy : 0.0019156932830810547 nb_pixel_total : 1055 time to create 1 rle with old method : 0.0015685558319091797 time for calcul the mask position with numpy : 0.0018846988677978516 nb_pixel_total : 27526 time to create 1 rle with old method : 0.039666175842285156 time for calcul the mask position with numpy : 0.001977205276489258 nb_pixel_total : 1207 time to create 1 rle with old method : 0.002161741256713867 time for calcul the mask position with numpy : 0.0018780231475830078 nb_pixel_total : 3092 time to create 1 rle with old method : 0.005181074142456055 time for calcul the mask position with numpy : 0.0019359588623046875 nb_pixel_total : 1442 time to create 1 rle with old method : 0.0023496150970458984 time for calcul the mask position with numpy : 0.0018641948699951172 nb_pixel_total : 1075 time to create 1 rle with old method : 0.0018038749694824219 time for calcul the mask position with numpy : 0.0018444061279296875 nb_pixel_total : 583 time to create 1 rle with old method : 0.0010857582092285156 time for calcul the mask position with numpy : 0.0018970966339111328 nb_pixel_total : 1740 time to create 1 rle with old method : 0.0025641918182373047 time for calcul the mask position with numpy : 0.0034155845642089844 nb_pixel_total : 9090 time to create 1 rle with old method : 0.01810598373413086 time for calcul the mask position with numpy : 0.0017893314361572266 nb_pixel_total : 981 time to create 1 rle with old method : 0.0013339519500732422 time for calcul the mask position with numpy : 0.0017757415771484375 nb_pixel_total : 1107 time to create 1 rle with old method : 0.0021276473999023438 time for calcul the mask position with numpy : 0.0017549991607666016 nb_pixel_total : 7302 time to create 1 rle with old method : 0.01310873031616211 time for calcul the mask position with numpy : 0.0017752647399902344 nb_pixel_total : 267 time to create 1 rle with old method : 0.0005629062652587891 time for calcul the mask position with numpy : 0.0016689300537109375 nb_pixel_total : 1338 time to create 1 rle with old method : 0.0024025440216064453 time for calcul the mask position with numpy : 0.0017364025115966797 nb_pixel_total : 1513 time to create 1 rle with old method : 0.002850055694580078 time for calcul the mask position with numpy : 0.0018787384033203125 nb_pixel_total : 9498 time to create 1 rle with old method : 0.017140865325927734 time for calcul the mask position with numpy : 0.001653909683227539 nb_pixel_total : 713 time to create 1 rle with old method : 0.001383066177368164 time for calcul the mask position with numpy : 0.0015861988067626953 nb_pixel_total : 968 time to create 1 rle with old method : 0.0016732215881347656 time for calcul the mask position with numpy : 0.0015606880187988281 nb_pixel_total : 616 time to create 1 rle with old method : 0.0011181831359863281 time for calcul the mask position with numpy : 0.0015606880187988281 nb_pixel_total : 888 time to create 1 rle with old method : 0.0015749931335449219 time for calcul the mask position with numpy : 0.0016291141510009766 nb_pixel_total : 8512 time to create 1 rle with old method : 0.01790308952331543 time for calcul the mask position with numpy : 0.0015184879302978516 nb_pixel_total : 221 time to create 1 rle with old method : 0.0003502368927001953 time for calcul the mask position with numpy : 0.0014407634735107422 nb_pixel_total : 3170 time to create 1 rle with old method : 0.004061460494995117 time for calcul the mask position with numpy : 0.0014834403991699219 nb_pixel_total : 1124 time to create 1 rle with old method : 0.0014319419860839844 time for calcul the mask position with numpy : 0.001645803451538086 nb_pixel_total : 10146 time to create 1 rle with old method : 0.012365102767944336 time for calcul the mask position with numpy : 0.0015406608581542969 nb_pixel_total : 299 time to create 1 rle with old method : 0.0004820823669433594 time for calcul the mask position with numpy : 0.0014400482177734375 nb_pixel_total : 735 time to create 1 rle with old method : 0.0011105537414550781 time for calcul the mask position with numpy : 0.001435995101928711 nb_pixel_total : 1501 time to create 1 rle with old method : 0.0020003318786621094 time for calcul the mask position with numpy : 0.001430511474609375 nb_pixel_total : 1632 time to create 1 rle with old method : 0.0021796226501464844 time for calcul the mask position with numpy : 0.0018398761749267578 nb_pixel_total : 5047 time to create 1 rle with old method : 0.007873058319091797 time for calcul the mask position with numpy : 0.0014345645904541016 nb_pixel_total : 595 time to create 1 rle with old method : 0.0008804798126220703 time for calcul the mask position with numpy : 0.001432180404663086 nb_pixel_total : 917 time to create 1 rle with old method : 0.001369476318359375 time for calcul the mask position with numpy : 0.001466512680053711 nb_pixel_total : 2198 time to create 1 rle with old method : 0.002961874008178711 time for calcul the mask position with numpy : 0.0014336109161376953 nb_pixel_total : 947 time to create 1 rle with old method : 0.001302957534790039 time for calcul the mask position with numpy : 0.0014812946319580078 nb_pixel_total : 1320 time to create 1 rle with old method : 0.0020668506622314453 time for calcul the mask position with numpy : 0.0017807483673095703 nb_pixel_total : 1417 time to create 1 rle with old method : 0.002493143081665039 time for calcul the mask position with numpy : 0.0018527507781982422 nb_pixel_total : 885 time to create 1 rle with old method : 0.0015783309936523438 time for calcul the mask position with numpy : 0.0018482208251953125 nb_pixel_total : 475 time to create 1 rle with old method : 0.001146554946899414 time for calcul the mask position with numpy : 0.001476287841796875 nb_pixel_total : 2334 time to create 1 rle with old method : 0.002997159957885742 time for calcul the mask position with numpy : 0.0014925003051757812 nb_pixel_total : 1161 time to create 1 rle with old method : 0.0015788078308105469 time for calcul the mask position with numpy : 0.0014858245849609375 nb_pixel_total : 830 time to create 1 rle with old method : 0.0011708736419677734 insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s) insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s) batch 1 Loaded 101 chid ids of type : 4677 Number RLEs to save : 9445 INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) first line : ('3751141416', '103', '565', '2') ... last line : ('3751141516', '815', '44', '5') INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) TO DO : save crop sub photo not yet done ! After datou_step_exec type output : map_portfolio_photo : len 0 keys : dict_keys([]) Inside saveOutput : final : True verbose : True saveOutput not yet implemented for datou_step.type : sam we use saveGeneral [1189321094] map_info['map_portfolio_photo'] : {} final : True mtd_id 4573 list_pids : [1189321094] Looping around the photos to save general results len do output : 1 /1189321094Didn't retrieve data .Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4573', None, None, None, None, None, None, None, None) ('4573', None, '1189321094', None, None, None, None, None, None) begin to insert list_values into mtr_datou_result : length of list_values in save_final : 3 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('4573', None, '1189321094', 'None', None, None, None, None, None)] time used for this insertion : 0.015248537063598633 save_final save missing photos in datou_result : time spend for datou_step_exec : 10.456575393676758 time spend to save output : 0.01581406593322754 total time spend for step 1 : 10.472389459609985 caffe_path_current : About to save ! 2 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {'1189321094': [[, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ], 'temp/1744853795_1331777_1189321094_9626af7f95d010f2a4fd524688d4ea22_76896585.png']} nb_objects detect : 101 ############################### TEST frcnn ################################ test frcnn Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4184 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4184 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4184 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4184 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : frcnn list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (917754606) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 917754606 download finish for photo 917754606 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.15906071662902832 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 1 step1:frcnn Thu Apr 17 03:36:46 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744853805_1331777_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg': 917754606} map_photo_id_path_extension : {917754606: {'path': 'temp/1744853805_1331777_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou step Faster rcnn ! classes : ['background', 'plaque'] pht : 4370 caffemodel_name (should be vgg16_immat_307 but not used because net loaded outside in the fonction) : {'id': 3375, 'mtr_user_id': 31, 'name': 'detection_plaque_valcor_010622', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,plaque', 'svm_portfolios_learning': '0,0', 'photo_hashtag_type': 4370, 'photo_desc_type': 5676, 'type_classification': 'caffe_faster_rcnn', 'hashtag_id_list': '0,0'} To loadFromThcl() model_param file didn't exist model_name : detection_plaque_valcor_010622 model_type : caffe_faster_rcnn list file need : ['caffemodel', 'test.prototxt'] file exist in s3 : ['caffemodel', 'test.prototxt'] file manque in s3 : [] local folder : /data/models_weight/detection_plaque_valcor_010622 /data/models_weight/detection_plaque_valcor_010622/caffemodel size_local : 349723073 size in s3 : 349723073 create time local : 2022-07-12 14:12:27 create time in s3 : 2022-06-01 15:05:56 caffemodel already exist and didn't need to update /data/models_weight/detection_plaque_valcor_010622/test.prototxt size_local : 7163 size in s3 : 7163 create time local : 2022-07-12 14:12:27 create time in s3 : 2022-06-01 15:05:55 test.prototxt already exist and didn't need to update prototxt : /data/models_weight/detection_plaque_valcor_010622/test.prototxt caffemodel : /data/models_weight/detection_plaque_valcor_010622/caffemodel Loaded network /data/models_weight/detection_plaque_valcor_010622/caffemodel About to compute detect_faster_rcnn : len(args) : 1 Inside frcnn step exec : nb paths : 1 image_path : temp/1744853805_1331777_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg image_size (600, 800, 3) [[[ 4 6 6] [ 5 7 7] [ 6 8 8] ... [207 215 214] [206 214 213] [206 214 213]] [[ 4 6 6] [ 5 7 7] [ 6 8 8] ... [207 215 214] [206 214 213] [206 214 213]] [[ 4 6 6] [ 5 7 7] [ 6 8 8] ... [207 215 214] [206 214 213] [206 214 213]] ... [[ 14 16 16] [ 13 15 15] [ 11 13 13] ... [198 206 205] [198 206 205] [198 206 205]] [[ 16 18 18] [ 14 16 16] [ 11 13 13] ... [206 214 213] [206 214 213] [206 214 213]] [[ 13 15 15] [ 12 14 14] [ 9 11 11] ... [210 218 217] [210 218 217] [210 218 217]]] Detection took 0.080s for 300 object proposals c : plaque list_crops.shape (72, 5) proba : 0.06384295 (374.12518, 293.91766, 430.81018, 317.80756) proba : 0.052221723 (382.1777, 297.18866, 552.3578, 344.65796) proba : 0.01227175 (345.35483, 272.4313, 468.85507, 320.72592) We are managing local photo_id len de result frcnn : 1 After datou_step_exec type output : time spend for datou_step_exec : 2.304564952850342 time spend to save output : 0.00017333030700683594 total time spend for step 1 : 2.3047382831573486 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : True Inside saveFrcnn : final : True verbose : True threshold to save the result : 0.1 output flattener : [(0, 493029425, 4370, 374, 430, 293, 317, 0.06384295, None), (0, 493029425, 4370, 382, 552, 297, 344, 0.052221723, None), (0, 493029425, 4370, 345, 468, 272, 320, 0.01227175, None)] Warning : no hashtag_ids to insert in the database final : True begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('4184', None, '917754606', '0', 0, '0', 493061979, '0', None)] time used for this insertion : 0.015752315521240234 [917754606] map_info['map_portfolio_photo'] : {} final : True mtd_id 4184 list_pids : [917754606] Looping around the photos to save general results len do output : 1 /0 before output type Managing all output in save final without adding information in the mtr_datou_result ('4184', None, None, None, None, None, None, None, None) ('4184', None, '917754606', None, None, None, None, None, None) begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('4184', None, '917754606', None, None, None, None, None, None)] time used for this insertion : 0.01503753662109375 save_final save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {0: [[(0, 493029425, 4370, 374, 430, 293, 317, 0.06384295, None), (0, 493029425, 4370, 382, 552, 297, 344, 0.052221723, None), (0, 493029425, 4370, 345, 468, 272, 320, 0.01227175, None)], 'temp/1744853805_1331777_917754606_35f3c9ae49686a6be16030c6ec25c9ee.jpg']} ############################### TEST thcl ################################ TEST THCL Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=2 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=2 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 2 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=2 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : step 1 thcl is not linked in the step_by_step architecture ! WARNING : step 2 argmax is not linked in the step_by_step architecture ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! no param json to modify List Step Type Loaded in datou : thcl, argmax list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (916235064) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 916235064 download finish for photo 916235064 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.0860908031463623 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 2 step1:thcl Thu Apr 17 03:36:48 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744853808_1331777_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg': 916235064} map_photo_id_path_extension : {916235064: {'path': 'temp/1744853808_1331777_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou step Thcl ! multi_thcl or not :False multi_thcl_cond or not :False dic_thcl : {'355': 1} we are using the classfication for only one thcl 355 In convert_file_to_np l 337 : 1 l343 1 l357 after caffe.io.load_image dimension du image : (3, (66, 66, 3)) dimension displayed ! time to import caffe and check if the image exist : 0.006442070007324219 time to convert the images to numpy array : 0.0010821819305419922 total time to convert the images to numpy array : 0.008150100708007812 list photo_ids error: [] list photo_ids correct : [916235064] number of photos to traite : 1 try to delete the photos incorrect in DB tagging for thcl : 355 To do loadFromThcl(), then load ParamDescType : thcl355 get_desc_type_from_thcl : type of cat SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists, photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at, type_classification FROM MTRDatou.classification_theme WHERE `id` IN (355) thcls : [{'id': 355, 'mtr_user_id': 31, 'name': 'car_360_1027', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 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'svm_portfolios_learning': 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'506302,506374,506399,506192,506205,506350,506052,506295,506066,506117,506065,506125,506387,506381,506349,506328,506377,506286,506124,506172,506206,506178,506371,506076,506114,506329,506122,506220,506174,506224,506232,506234,506173,506181,506323,506326,506376,506048,506400,506179,506311,506325,506402,506051,506294,506318,506303,506175,506099,506061,506337,506250,506082,506166,506133,506308,506078,506340,506310,506100,506121,506070,506218,506227,506272,506147,506160,506265,506202,506222,506093,506257,506208,506344,506077,506395,506094,506219,506298,506339,506343,506365,506200,506348,506198,506385,506239,506236,506391,506087,506342,506149,506184,506393,506203,506280,506216,506403,506355,506332,506259,506401,506357,506324,506098,506315,506335,506088,506046,506185,506171,506080,506345,506347,506067,506233,506225,506312,506278,506300,506258,506182,506226,506262,506146,506113,506108,506297,506322,506143,506363,506073,506154,506313,506189,506197,506162,506249,506139,506237,506336,506084,506109,506106,506045,506392,506247,506316,506201,506353,506305,506050,506145,506362,506101,506128,506044,506317,506074,506134,506196,506194,506285,506177,506240,506282,506396,506281,506264,506276,506144,506069,506091,506081,506168,506291,506238,506072,506085,506235,506193,506268,506148,506356,506386,506229,506256,506187,506110,506304,506115,506214,506334,506289,506361,506366,506204,506190,506188,506307,506055,506389,506364,506279,506241,506057,506063,506320,506212,506263,506394,506306,506260,506309,506221,506155,506176,506398,506360,506210,506341,506209,506170,506097,506119,506163,506092,506267,506246,506047,506296,506058,506269,506378,506123,506271,506277,506207,506141,506390,506314,506299,506075,506183,506157,506228,506255,506358,506053,506060,506382,506217,506290,506230,506186,506213,506248,506354,506245,506104,506111,506054,506068,506156,506102,506191,506158,506159,506153,506107,506056,506131,506165,506370,506161,506242,506327,506253,506330,506243,506231,506096,506331,506062,506195,506369,506384,506071,506116,506164,506090,506397,506273,506338,506140,506136,506086,506083,506275,506283,506142,506383,506380,506129,506368,506130,506367,506292,506064,506138,506167,506223,506351,506079,506132,506293,506089,506095,506120,506388,506211,506274,506321,506150,506169,506049,506379,506252,506112,506199,506287,506266,506118,506103,506301,506105,506137,506352,506333,506180,506254,506375,506270,506319,506288,506244,506284,506059,506261,506372,506127,506359,506135,506215,506151,506251,506152,506126,506373,506346', 'photo_hashtag_type': 332, 'photo_desc_type': 3390, 'type_classification': 'caffe', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 3390 SELECT * FROM MTRDatou.photo_desc_type_params WHERE id in (3390) FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3390, 'car_360_1027', 16384, 25088, 'car_360_1027', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2017, 10, 28, 12, 29, 27), datetime.datetime(2017, 10, 28, 12, 29, 27)) To loadFromThcl() : net_3390 begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 2938 max_wait_temp : 1 max_wait : 0 SELECT * FROM MTRDatou.photo_desc_type_params WHERE id in (3390) FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3390, 'car_360_1027', 16384, 25088, 'car_360_1027', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2017, 10, 28, 12, 29, 27), datetime.datetime(2017, 10, 28, 12, 29, 27)) param : , param.caffemodel : car_360_1027 None mean_file_type : mean_file_path : prototxt_file_path : model : car_360_1027 Inside get_net Inside get_net before cache_data_model model_param file didn't exist Inside get_net before CDM.load_model_par_type model_name : car_360_1027 model_type : caffe list file need : ['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file exist in s3 : ['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file manque in s3 : [] local folder : /data/models_weight/car_360_1027 /data/models_weight/car_360_1027/caffemodel size_local : 542944640 size in s3 : 542944640 create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:43 caffemodel already exist and didn't need to update /data/models_weight/car_360_1027/deploy_conv_normal.prototxt size_local : 4626 size in s3 : 4626 create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:42 deploy_conv_normal.prototxt already exist and didn't need to update /data/models_weight/car_360_1027/deploy_fc.prototxt size_local : 1132 size in s3 : 1132 create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:43 deploy_fc.prototxt already exist and didn't need to update /data/models_weight/car_360_1027/deploy.prototxt size_local : 5654 size in s3 : 5654 create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:42 deploy.prototxt already exist and didn't need to update /data/models_weight/car_360_1027/mean.npy size_local : 1572944 size in s3 : 1572944 create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:55 mean.npy already exist and didn't need to update /data/models_weight/car_360_1027/synset_words.txt size_local : 13687 size in s3 : 13687 create time local : 2021-08-09 05:28:34 create time in s3 : 2021-08-06 17:57:43 synset_words.txt already exist and didn't need to update Inside get_net after CDM.load_model_par_type After if not only_with_local_cache: /home/admin/workarea/install/caffe_cuda8_python3/python/:/home/admin/workarea/install/darknet/:/home/admin/workarea/git/Velours/python:/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python:/home/admin/mtr/.credentials:/home/admin/workarea/install/caffe/python:/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools/:/home/admin/workarea/git/fotonowerpip/:/home/admin/workarea/install/segment-anything:/home/admin//workarea/git/pyfvs/ Here before set mode gpu Doing nothing but we could set mode gpu after set mode gpu prototxt_filename : /data/models_weight/car_360_1027/deploy.prototxt caffemodel_filename : /data/models_weight/car_360_1027/caffemodel now we set caffe to gpu mode before predict begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 2938 max_wait_temp : 1 max_wait : 0 dict_keys(['prob', 'pool5']) time used to do the prepocess of the images : 0.015712261199951172 time used to do the prediction : 0.08157682418823242 save descriptor for thcl : 355 (1, 512, 7, 7) Got the blobs of the net to insert : [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] code_as_byte_string:b'0000000000'| time to traite the descriptors : 0.055196523666381836 Testing : ['916235064'] In select_photos_meta_from_ids: SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text FROM MTRBack.photos WHERE photo_id IN (916235064) Catched exception ! Connect or reconnect ! result : {916235064: {'photo_id': 916235064, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2017/10/14/6293d1bb790dc6902450e7c572b7d10b.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': None}} list_photo_exists : [916235064] storage_type for insertDescriptorsMulti : 1 To insert : 916235064 time to insert the descriptors : 0.5835409164428711 After datou_step_exec type output : map_portfolio_photo : len 0 keys : dict_keys([]) Inside saveOutput : final : False verbose : True time used to find the portfolios of the photos select button_legend_list from MTRDatou.classification_theme where id = 355 SAVE THCL, output : {'916235064': [[('916235064', 'c_elysee_1027_gao__port_506302', 0.0018813885, 332, '355'), ('916235064', 'mokka_1027_gao__port_506374', 0.0011636419, 332, '355'), ('916235064', 'captur_1027_gao__port_506399', 0.0008158842, 332, '355'), ('916235064', 'sorento_1027_gao__port_506192', 0.0011772889, 332, '355'), ('916235064', 'navara_1027_gao__port_506205', 0.0025849352, 332, '355'), ('916235064', 'xc90_1027_gao__port_506350', 0.0041695796, 332, '355'), ('916235064', 'saxo_1027_gao__port_506052', 0.003481046, 332, '355'), ('916235064', 'trafic_1027_gao__port_506295', 0.0073664533, 332, '355'), ('916235064', 'punto_evo_1027_gao__port_506066', 0.002188926, 332, '355'), ('916235064', '5_1027_gao__port_506117', 0.0005798905, 332, '355'), ('916235064', '250_1027_gao__port_506065', 0.004591051, 332, '355'), ('916235064', 'd_max_1027_gao__port_506125', 0.00315883, 332, '355'), ('916235064', 'panamera_1027_gao__port_506387', 0.0022508528, 332, '355'), ('916235064', 'alhambra_1027_gao__port_506381', 0.005320515, 332, '355'), ('916235064', 'x6_1027_gao__port_506349', 0.0010999547, 332, '355'), ('916235064', 'vitara_1027_gao__port_506328', 0.0054017245, 332, '355'), ('916235064', 'fiesta_1027_gao__port_506377', 0.003919374, 332, '355'), ('916235064', 'qashqai_1027_gao__port_506286', 0.0014787444, 332, '355'), ('916235064', '147_1027_gao__port_506124', 0.00197798, 332, '355'), ('916235064', 'c5_1027_gao__port_506172', 0.0012442572, 332, '355'), ('916235064', 'q5_1027_gao__port_506206', 0.0015049244, 332, '355'), ('916235064', 'giulia_1027_gao__port_506178', 0.002169285, 332, '355'), ('916235064', 'karl_1027_gao__port_506371', 0.0027085096, 332, '355'), ('916235064', 'mehari_1027_gao__port_506076', 0.0047035273, 332, '355'), ('916235064', '911_1027_gao__port_506114', 0.0019417187, 332, '355'), ('916235064', '508_1027_gao__port_506329', 0.00095855637, 332, '355'), ('916235064', 'idea_1027_gao__port_506122', 0.00077018526, 332, '355'), ('916235064', 'megane_1027_gao__port_506220', 0.0019469041, 332, '355'), ('916235064', 'ghibli_1027_gao__port_506174', 0.0013725387, 332, '355'), ('916235064', 'touareg_1027_gao__port_506224', 0.0016201703, 332, '355'), ('916235064', 'i10_1027_gao__port_506232', 0.0013927331, 332, '355'), ('916235064', 'jumper_1027_gao__port_506234', 0.010044216, 332, '355'), ('916235064', 'classe_clk_1027_gao__port_506173', 0.001079364, 332, '355'), ('916235064', 'kuga_1027_gao__port_506181', 0.0008447668, 332, '355'), ('916235064', 'ct_1027_gao__port_506323', 0.0012521676, 332, '355'), ('916235064', 'leon_1027_gao__port_506326', 0.0025843456, 332, '355'), ('916235064', 'ds5_1027_gao__port_506376', 0.0012430196, 332, '355'), ('916235064', 'cordoba_1027_gao__port_506048', 0.0028650255, 332, '355'), ('916235064', 'classe_cla_1027_gao__port_506400', 0.0012950043, 332, '355'), ('916235064', 'jumpy_1027_gao__port_506179', 0.010338798, 332, '355'), ('916235064', 'avensis_1027_gao__port_506311', 0.0018766831, 332, '355'), ('916235064', 'juke_1027_gao__port_506325', 0.0011344186, 332, '355'), ('916235064', '4008_1027_gao__port_506402', 0.0015757905, 332, '355'), ('916235064', '190_series_1027_gao__port_506051', 0.0039801234, 332, '355'), ('916235064', 'serie_3_1027_gao__port_506294', 0.002874131, 332, '355'), ('916235064', 'q7_1027_gao__port_506318', 0.0023354096, 332, '355'), ('916235064', 'glc_1027_gao__port_506303', 0.0012106289, 332, '355'), ('916235064', 'grand_vitara_1027_gao__port_506175', 0.0011447875, 332, '355'), ('916235064', 's40_1027_gao__port_506099', 0.0022336994, 332, '355'), ('916235064', 'toledo_1027_gao__port_506061', 0.0017465559, 332, '355'), ('916235064', '5008_1027_gao__port_506337', 0.0046991953, 332, '355'), ('916235064', 'continental_1027_gao__port_506250', 0.0021912826, 332, '355'), ('916235064', 'coupe_1027_gao__port_506082', 0.0022631204, 332, '355'), ('916235064', 'iq_1027_gao__port_506166', 0.0018175252, 332, '355'), ('916235064', '407_1027_gao__port_506133', 0.0009057177, 332, '355'), ('916235064', 'touran_1027_gao__port_506308', 0.0020403028, 332, '355'), ('916235064', '300c_1027_gao__port_506078', 0.0025334598, 332, '355'), ('916235064', 'classe_gl_1027_gao__port_506340', 0.0044888766, 332, '355'), ('916235064', 'vivaro_1027_gao__port_506310', 0.0034254543, 332, '355'), ('916235064', 'sl_1027_gao__port_506100', 0.0031352574, 332, '355'), ('916235064', 'elise_1027_gao__port_506121', 0.001025664, 332, '355'), ('916235064', '1007_1027_gao__port_506070', 0.0015357238, 332, '355'), ('916235064', 'i40_1027_gao__port_506218', 0.00059154344, 332, '355'), ('916235064', 'bipper_tepee_1027_gao__port_506227', 0.0040304326, 332, '355'), ('916235064', 'focus_1027_gao__port_506272', 0.0011587245, 332, '355'), ('916235064', 'primera_1027_gao__port_506147', 0.0012158506, 332, '355'), ('916235064', 'r4_1027_gao__port_506160', 0.01496681, 332, '355'), ('916235064', 'a8_1027_gao__port_506265', 0.0011321136, 332, '355'), ('916235064', 'boxer_1027_gao__port_506202', 0.010544283, 332, '355'), ('916235064', 's5_1027_gao__port_506222', 0.0011984084, 332, '355'), ('916235064', 'r21_1027_gao__port_506093', 0.0041856794, 332, '355'), ('916235064', 'c3_1027_gao__port_506257', 0.0023636534, 332, '355'), ('916235064', 'santa_fe_1027_gao__port_506208', 0.0016323968, 332, '355'), ('916235064', 'm4_1027_gao__port_506344', 0.0015568038, 332, '355'), ('916235064', 'safrane_1027_gao__port_506077', 0.0013959453, 332, '355'), ('916235064', 'classe_gle_1027_gao__port_506395', 0.0021978244, 332, '355'), ('916235064', '0_1027_gao__port_506094', 0.008827916, 332, '355'), ('916235064', 'ix35_1027_gao__port_506219', 0.0014616175, 332, '355'), ('916235064', 'carens_1027_gao__port_506298', 0.00088257476, 332, '355'), ('916235064', 'classe_a_1027_gao__port_506339', 0.0024714589, 332, '355'), ('916235064', 'ix20_1027_gao__port_506343', 0.0010094503, 332, '355'), ('916235064', 'note_1027_gao__port_506365', 0.0015964304, 332, '355'), ('916235064', 'a5_1027_gao__port_506200', 0.0015330459, 332, '355'), ('916235064', 'sx4_1027_gao__port_506348', 0.0014916944, 332, '355'), ('916235064', 'sandero_1027_gao__port_506198', 0.0014588131, 332, '355'), ('916235064', '3008_1027_gao__port_506385', 0.0056455, 332, '355'), ('916235064', 'q50_1027_gao__port_506239', 0.0011166128, 332, '355'), ('916235064', 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'viano_1027_gao__port_506211', 0.0026946075, 332, '355'), ('916235064', 'pro_cee_d_1027_gao__port_506274', 0.00083210046, 332, '355'), ('916235064', 'a3_1027_gao__port_506321', 0.0037376324, 332, '355'), ('916235064', 'v50_1027_gao__port_506150', 0.0007919875, 332, '355'), ('916235064', 'voyager_1027_gao__port_506169', 0.0030528004, 332, '355'), ('916235064', 'corvette_1027_gao__port_506049', 0.0037227713, 332, '355'), ('916235064', 'rio_1027_gao__port_506379', 0.0017740825, 332, '355'), ('916235064', 'jazz_1027_gao__port_506252', 0.0015306764, 332, '355'), ('916235064', '200_1027_gao__port_506112', 0.004086913, 332, '355'), ('916235064', 'tts_1027_gao__port_506199', 0.0011862655, 332, '355'), ('916235064', 'zafira_1027_gao__port_506287', 0.002695502, 332, '355'), ('916235064', 'asx_1027_gao__port_506266', 0.0011407449, 332, '355'), ('916235064', '607_1027_gao__port_506118', 0.0012529688, 332, '355'), ('916235064', '207_1027_gao__port_506103', 0.0015150004, 332, '355'), ('916235064', 'classe_s_1027_gao__port_506301', 0.0031652201, 332, '355'), ('916235064', 'c6_1027_gao__port_506105', 0.0017347925, 332, '355'), ('916235064', 'express_1027_gao__port_506137', 0.016725458, 332, '355'), ('916235064', 'classe_gla_1027_gao__port_506352', 0.001825559, 332, '355'), ('916235064', 'v60_1027_gao__port_506333', 0.0021458468, 332, '355'), ('916235064', 'ka_1027_gao__port_506180', 0.0014153979, 332, '355'), ('916235064', 'range_rover_1027_gao__port_506254', 0.0020552329, 332, '355'), ('916235064', 'discovery_1027_gao__port_506375', 0.0022965178, 332, '355'), ('916235064', 'classe_r_1027_gao__port_506270', 0.001394515, 332, '355'), ('916235064', 'transporter_1027_gao__port_506319', 0.011967627, 332, '355'), ('916235064', 'cee_d_1027_gao__port_506288', 0.0010548629, 332, '355'), ('916235064', 'zoe_1027_gao__port_506244', 0.0020716293, 332, '355'), ('916235064', 'i20_1027_gao__port_506284', 0.0017870475, 332, '355'), ('916235064', 'gtv_1027_gao__port_506059', 0.005721754, 332, '355'), ('916235064', 's4_avant_1027_gao__port_506261', 0.002766228, 332, '355'), ('916235064', 'x1_1027_gao__port_506372', 0.0017145264, 332, '355'), ('916235064', 'autres_1027_gao__port_506127', 0.004825204, 332, '355'), ('916235064', '208_1027_gao__port_506359', 0.0018687623, 332, '355'), ('916235064', 'c8_1027_gao__port_506135', 0.0012581917, 332, '355'), ('916235064', 'astra_1027_gao__port_506215', 0.0012626413, 332, '355'), ('916235064', '2_1027_gao__port_506151', 0.0009245476, 332, '355'), ('916235064', 'doblo_1027_gao__port_506251', 0.007467024, 332, '355'), ('916235064', '807_1027_gao__port_506152', 0.0007291878, 332, '355'), ('916235064', '206_1027_gao__port_506126', 0.0010387083, 332, '355'), ('916235064', 'a7_1027_gao__port_506373', 0.00069119013, 332, '355'), ('916235064', 'renegade_1027_gao__port_506346', 0.002141724, 332, '355')]]} begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 0 insert into MTRPhoto.class_photo_score (thcl, photo_id, hashtag_id, score) values (%s,%s,%s,%s) on duplicate key update score = values(score) time used for this insertion : 9.5367431640625e-06 save missing photos in datou_result : time spend for datou_step_exec : 5.769704341888428 time spend to save output : 1.6910123825073242 total time spend for step 1 : 7.460716724395752 step2:argmax Thu Apr 17 03:36:55 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 : Here we display some param of map_info ! map_filenames : {'temp/1744853808_1331777_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg': 916235064} map_photo_id_path_extension : {916235064: {'path': 'temp/1744853808_1331777_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou_step Argmax ! calculate argmax for thcl : 355 After datou_step_exec type output : map_portfolio_photo : len 0 keys : dict_keys([]) Inside saveOutput : final : True verbose : True photo_id : 916235064 output[photo_id] : [('916235064', 'c15_1027_gao__port_506055', 0.017710539, 332, '355'), 'temp/1744853808_1331777_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg'] begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 1 insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) first line : ('916235064', '2049863950', '332') ... last line : ('916235064', '2049863950', '332') time used for this insertion : 0.013343095779418945 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 1 insert into MTRPhoto.class_photo_score (thcl, photo_id, hashtag_id, score) values (%s,%s,%s,%s) on duplicate key update score = values(score) time used for this insertion : 0.014960527420043945 len list_finale : 1, len picture : 1 begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('2', None, '916235064', 'c15_1027_gao__port_506055', None, None, '2049863950', '0.017710539', None)] time used for this insertion : 0.01317739486694336 saving photo_ids in datou_result photo id not in port begin to insert list_values into mtr_datou_result : length of list_values in save_final : 0 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [] time used for this insertion : 4.76837158203125e-06 save missing photos in datou_result : time spend for datou_step_exec : 0.0001971721649169922 time spend to save output : 0.041764259338378906 total time spend for step 2 : 0.0419614315032959 caffe_path_current : About to save ! 2 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 2 output : {'916235064': [('916235064', 'c15_1027_gao__port_506055', 0.017710539, 332, '355'), 'temp/1744853808_1331777_916235064_6293d1bb790dc6902450e7c572b7d10b.jpg']} ############################### TEST tfhub2 ################################ TEST TFHUB2 ######################## test with use_multi_inputs=0 ######################## Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4567 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4567 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4567 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4567 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : step 12835 tfhub_classification2 is not linked in the step_by_step architecture ! WARNING : step 12836 argmax is not linked in the step_by_step architecture ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! no param json to modify List Step Type Loaded in datou : tfhub_classification2, argmax list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (1171252784,1171252764,1171252487) Found this number of photos: 3 ##### Call download_photos : nb_thread : 5 begin to download photo : 1171252487 begin to download photo : 1171252764 begin to download photo : 1171252784 download finish for photo 1171252487 download finish for photo 1171252764 download finish for photo 1171252784 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 : 0.23140859603881836 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 2 step1:tfhub_classification2 Thu Apr 17 03:36:56 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 : Here we display some param of map_info ! map_filenames : {'temp/1744853816_1331777_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg': 1171252487, 'temp/1744853816_1331777_1171252764_29d5179a892cc50aadc9d67245534b59.jpg': 1171252764, 'temp/1744853816_1331777_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg': 1171252784} map_photo_id_path_extension : {1171252487: {'path': 'temp/1744853816_1331777_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg', 'extension': 'jpg'}, 1171252764: {'path': 'temp/1744853816_1331777_1171252764_29d5179a892cc50aadc9d67245534b59.jpg', 'extension': 'jpg'}, 1171252784: {'path': 'temp/1744853816_1331777_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou_step TFHub with tf2 ! multi_thcl or not :False multi_thcl_cond or not :False dic_thcl : {'3609': 1} we are using the classfication for only one thcl 3609 begin to check gpu status inside check gpu memory inside check gpu memory inside check gpu memory inside check gpu memory inside check gpu memory inside check gpu memory 2025-04-17 03:37:05.051356: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-17 03:37:05.051972: 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 2025-04-17 03:37:05.052057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-17 03:37:05.052114: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-17 03:37:05.054024: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-17 03:37:05.054129: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-17 03:37:05.057484: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-17 03:37:05.058910: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-17 03:37:05.065358: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-17 03:37:05.066674: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-17 03:37:05.067217: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-17 03:37:05.099149: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-17 03:37:05.101446: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f4fb0000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-17 03:37:05.101517: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-17 03:37:05.105502: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x40356860 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-17 03:37:05.105550: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-17 03:37:05.106577: 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 2025-04-17 03:37:05.106714: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-17 03:37:05.106753: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-17 03:37:05.106925: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-17 03:37:05.106978: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-17 03:37:05.107041: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-17 03:37:05.107107: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-17 03:37:05.107171: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-17 03:37:05.108468: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-17 03:37:05.108547: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-17 03:37:05.108603: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-17 03:37:05.108620: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-17 03:37:05.108637: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-17 03:37:05.109955: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3096 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) l 3637 free memory gpu now : 2938 max_wait_temp : 6 max_wait : 5 1 Physical GPUs, 1 Logical GPUs tagging for thcl : 3609 To do loadFromThcl(), then load ParamDescType : thcl3609 get_desc_type_from_thcl : type of cat SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists, photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at, type_classification FROM MTRDatou.classification_theme WHERE `id` IN (3609) thcls : [{'id': 3609, 'mtr_user_id': 31, 'name': 'tfhub_19_06_2023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'jrm,pcm,pcnc,pehd,tapis_vide', 'svm_portfolios_learning': '9336903,9336904,9336905,9336906,9336909', 'photo_hashtag_type': 4674, 'photo_desc_type': 5832, 'type_classification': 'tf_classification2', 'hashtag_id_list': '495916461,560181804,1284539308,628944319,2107748999'}] thcl {'id': 3609, 'mtr_user_id': 31, 'name': 'tfhub_19_06_2023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'jrm,pcm,pcnc,pehd,tapis_vide', 'svm_portfolios_learning': '9336903,9336904,9336905,9336906,9336909', 'photo_hashtag_type': 4674, 'photo_desc_type': 5832, 'type_classification': 'tf_classification2', 'hashtag_id_list': '495916461,560181804,1284539308,628944319,2107748999'} Update svm_hashtag_type_desc : 5832 SELECT * FROM MTRDatou.photo_desc_type_params WHERE id in (5832) FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5832, 'tfhub_19_06_2023', 1280, 1280, 'tfhub_19_06_2023', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2023, 6, 19, 12, 55, 22), datetime.datetime(2023, 6, 19, 12, 55, 22)) model_name : tfhub_19_06_2023 model_param file didn't exist model_name : tfhub_19_06_2023 model_type : tf_classification2 list file need : ['Confusion_Matrix.png', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file exist in s3 : ['Confusion_Matrix.png', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file manque in s3 : [] 2025-04-17 03:37:12.620160: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.02G (3246391296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory /home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/../../tools/../lib/rpn/proposal_layer.py:28: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details. layer_params = yaml.load(self.param_str_) local folder : /data/models_weight/tfhub_19_06_2023 /data/models_weight/tfhub_19_06_2023/Confusion_Matrix.png size_local : 57753 size in s3 : 57753 create time local : 2023-06-22 17:09:38 create time in s3 : 2023-06-19 10:55:15 Confusion_Matrix.png already exist and didn't need to update /data/models_weight/tfhub_19_06_2023/Precision_Recall_jrm.jpg size_local : 79724 size in s3 : 79724 create time local : 2023-06-22 17:09:38 create time in s3 : 2023-06-19 10:55:20 Precision_Recall_jrm.jpg already exist and didn't need to update /data/models_weight/tfhub_19_06_2023/Precision_Recall_pcm.jpg size_local : 83556 size in s3 : 83556 create time local : 2023-06-22 17:09:38 create time in s3 : 2023-06-19 10:55:15 Precision_Recall_pcm.jpg already exist and didn't need to update /data/models_weight/tfhub_19_06_2023/Precision_Recall_pcnc.jpg size_local : 74107 size in s3 : 74107 create time local : 2023-06-22 17:09:38 create time in s3 : 2023-06-19 10:55:20 Precision_Recall_pcnc.jpg already exist and didn't need to update /data/models_weight/tfhub_19_06_2023/Precision_Recall_pehd.jpg size_local : 72705 size in s3 : 72705 create time local : 2023-06-22 17:09:39 create time in s3 : 2023-06-19 10:55:20 Precision_Recall_pehd.jpg already exist and didn't need to update /data/models_weight/tfhub_19_06_2023/Precision_Recall_tapis_vide.jpg size_local : 70874 size in s3 : 70874 create time local : 2023-06-22 17:09:39 create time in s3 : 2023-06-19 10:55:15 Precision_Recall_tapis_vide.jpg already exist and didn't need to update /data/models_weight/tfhub_19_06_2023/Result_Summary.txt size_local : 642 size in s3 : 642 create time local : 2023-06-22 17:09:39 create time in s3 : 2023-06-19 10:55:22 Result_Summary.txt already exist and didn't need to update /data/models_weight/tfhub_19_06_2023/checkpoint size_local : 99 size in s3 : 99 create time local : 2023-06-22 17:09:39 create time in s3 : 2023-06-19 10:55:22 checkpoint already exist and didn't need to update /data/models_weight/tfhub_19_06_2023/model_checkpoint.ckpt.data-00000-of-00002 size_local : 216488 size in s3 : 216488 create time local : 2023-06-22 17:09:39 create time in s3 : 2023-06-19 10:55:22 model_checkpoint.ckpt.data-00000-of-00002 already exist and didn't need to update /data/models_weight/tfhub_19_06_2023/model_checkpoint.ckpt.data-00001-of-00002 size_local : 32279708 size in s3 : 32279708 create time local : 2023-06-22 17:09:40 create time in s3 : 2023-06-19 10:55:21 model_checkpoint.ckpt.data-00001-of-00002 already exist and didn't need to update /data/models_weight/tfhub_19_06_2023/model_checkpoint.ckpt.index size_local : 43546 size in s3 : 43546 create time local : 2023-06-22 17:09:40 create time in s3 : 2023-06-19 10:55:22 model_checkpoint.ckpt.index already exist and didn't need to update /data/models_weight/tfhub_19_06_2023/model_weights.h5 size_local : 16499144 size in s3 : 16499144 create time local : 2023-06-22 17:09:40 create time in s3 : 2023-06-19 10:55:15 model_weights.h5 already exist and didn't need to update desc size : 1280 Model: "sequential" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= module (KerasLayer) (None, 1280) 4049564 _________________________________________________________________ tfhub_19_06_2023dense (Dense (None, 5) 6405 ================================================================= Total params: 4,055,969 Trainable params: 6,405 Non-trainable params: 4,049,564 _________________________________________________________________ Loading Weights... time used to create the model : 9.60760498046875 time used to load_weights : 0.13747096061706543 0it [00:00, ?it/s] 3it [00:00, 1015.49it/s]2025-04-17 03:37:17.154052: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-17 03:37:17.182758: E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR 2025-04-17 03:37:17.188697: E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR temp/1744853816_1331777_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg temp/1744853816_1331777_1171252764_29d5179a892cc50aadc9d67245534b59.jpg temp/1744853816_1331777_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg Found 3 images belonging to 1 classes. begin to do the prediction : ERROR in datou_step_exec, will save and exit ! Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [[{{node model/module/StatefulPartitionedCall/StatefulPartitionedCall/StatefulPartitionedCall/stem_conv2d/StatefulPartitionedCall/Conv2D}}]] [Op:__inference_predict_function_34620] Function call stack: predict_function File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2329, in datou_exec output = datou_step_exec(sNext, args, cache, context, map_info, verbose, mtr_user_id) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2523, in datou_step_exec return lib_process.datou_step_tfhub2(param, json_param, args, cache, context, map_info, verbose) File "/home/admin/workarea/git/Velours/python/mtr/datou/lib_step_exec/lib_step_process.py", line 3146, in datou_step_tfhub2 classes, outputs, features = this_model.predict_image_paths(list_paths, keep_aspect_ratio=keep_aspect_ratio, File "/home/admin/workarea/git/Velours/python/mtr/tfhub2/evaluate.py", line 288, in predict_image_paths Y_pred, F_pred = self.model.predict(valid_generator, validation_steps) File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/training.py", line 88, in _method_wrapper return method(self, *args, **kwargs) File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/training.py", line 1268, in predict tmp_batch_outputs = predict_function(iterator) File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py", line 580, in __call__ result = self._call(*args, **kwds) File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py", line 650, in _call return self._concrete_stateful_fn._filtered_call(canon_args, canon_kwds) # pylint: disable=protected-access File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py", line 1661, in _filtered_call return self._call_flat( File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py", line 1745, in _call_flat return self._build_call_outputs(self._inference_function.call( File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py", line 593, in call outputs = execute.execute( File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/execute.py", line 59, in quick_execute tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name, [1171252487, 1171252764, 1171252784] map_info['map_portfolio_photo'] : {} final : True mtd_id 4567 list_pids : [1171252487, 1171252764, 1171252784] begin to insert list_values into mtr_datou_result : length of list_values in save_final : 3 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('4567', None, '1171252487', "[>, , , , , ' Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.\\n\\t [[{{node model/module/StatefulPartitionedCall/StatefulPartitionedCall/StatefulPartitionedCall/stem_conv2d/StatefulPartitionedCall/Conv2D}}]] [Op:__inference_predict_function_34620]\\n\\nFunction call stack:\\npredict_function\\n']", '-1', '-1.0', '501120777', '1.0', None), ('4567', None, '1171252764', "[>, , , , , ' Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.\\n\\t [[{{node model/module/StatefulPartitionedCall/StatefulPartitionedCall/StatefulPartitionedCall/stem_conv2d/StatefulPartitionedCall/Conv2D}}]] [Op:__inference_predict_function_34620]\\n\\nFunction call stack:\\npredict_function\\n']", '-1', '-1.0', '501120777', '1.0', None), ('4567', None, '1171252784', "[>, , , , , ' Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.\\n\\t [[{{node model/module/StatefulPartitionedCall/StatefulPartitionedCall/StatefulPartitionedCall/stem_conv2d/StatefulPartitionedCall/Conv2D}}]] [Op:__inference_predict_function_34620]\\n\\nFunction call stack:\\npredict_function\\n']", '-1', '-1.0', '501120777', '1.0', None)] time used for this insertion : 0.01481175422668457 save_final ERROR in last step tfhub_classification2, Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [[{{node model/module/StatefulPartitionedCall/StatefulPartitionedCall/StatefulPartitionedCall/stem_conv2d/StatefulPartitionedCall/Conv2D}}]] [Op:__inference_predict_function_34620] Function call stack: predict_function time spend for datou_step_exec : 20.93349575996399 time spend to save output : 0.01764392852783203 total time spend for step 0 : 20.95113968849182 need to delete datou_research and reload, so keep current state 1 caffe_path_current : About to save ! 2 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 2 output : None probably due to empty image bug ERROR expected : {'1171252784': [(1171252784, 'jrm', 0.9677492, 4674, '3609'), 'temp/1687511175_1882837_1171252784_5a3c5d3bb155a7a116f67ded51bffb59.jpg'], '1171252764': [(1171252764, 'jrm', 0.9853587, 4674, '3609'), 'temp/1687511175_1882837_1171252764_29d5179a892cc50aadc9d67245534b59.jpg'], '1171252487': [(1171252487, 'jrm', 0.9262757, 4674, '3609'), 'temp/1687511175_1882837_1171252487_5ebdd6b0a6bb39942a3808ed114806de.jpg']} got : None ######################## test with use_multi_inputs=1 ######################## Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4621 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4621 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4621 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4621 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : step 12927 tfhub_classification2 is not linked in the step_by_step architecture ! WARNING : step 12928 argmax is not linked in the step_by_step architecture ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! no param json to modify List Step Type Loaded in datou : tfhub_classification2, argmax list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (1171291875,1171275372,1171275314) Found this number of photos: 3 ##### Call download_photos : nb_thread : 5 begin to download photo : 1171275314 begin to download photo : 1171275372 begin to download photo : 1171291875 download finish for photo 1171291875 download finish for photo 1171275314 download finish for photo 1171275372 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 3 ; length of list_pids : 3 ; length of list_args : 3 ##### After load_data_input time to download the photos : 0.2035970687866211 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 2 step1:tfhub_classification2 Thu Apr 17 03:37:17 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 : Here we display some param of map_info ! map_filenames : {'temp/1744853837_1331777_1171291875_b62cd9e0d976b143f86fe82d072798c0.jpg': 1171291875, 'temp/1744853837_1331777_1171275314_6e0a72c8fa00d5e4b018bd689b547133.jpg': 1171275314, 'temp/1744853837_1331777_1171275372_76d81364ff7df843bff095f45c07ba35.jpg': 1171275372} map_photo_id_path_extension : {1171291875: {'path': 'temp/1744853837_1331777_1171291875_b62cd9e0d976b143f86fe82d072798c0.jpg', 'extension': 'jpg'}, 1171275314: {'path': 'temp/1744853837_1331777_1171275314_6e0a72c8fa00d5e4b018bd689b547133.jpg', 'extension': 'jpg'}, 1171275372: {'path': 'temp/1744853837_1331777_1171275372_76d81364ff7df843bff095f45c07ba35.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou_step TFHub with tf2 ! multi_thcl or not :False multi_thcl_cond or not :False dic_thcl : {'3655': 1} we are using the classfication for only one thcl 3655 begin to check gpu status inside check gpu memory havn't enough memory gpu , need / 3096 l 3632 free memory gpu now : 6 wait 20 seconds inside check gpu memory havn't enough memory gpu , need / 3096 l 3632 free memory gpu now : 6 wait 20 seconds inside check gpu memory havn't enough memory gpu , need / 3096 l 3632 free memory gpu now : 6 wait 20 seconds inside check gpu memory havn't enough memory gpu , need / 3096 l 3632 free memory gpu now : 6 wait 20 seconds inside check gpu memory havn't enough memory gpu , need / 3096 l 3632 free memory gpu now : 6 wait 20 seconds inside check gpu memory havn't enough memory gpu , need / 3096 l 3632 free memory gpu now : 6 wait 20 seconds l 3637 free memory gpu now : 6 max_wait_temp : 6 max_wait : 5 1 Physical GPUs, 1 Logical GPUs tagging for thcl : 3655 To do loadFromThcl(), then load ParamDescType : thcl3655 get_desc_type_from_thcl : type of cat SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists, photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at, type_classification FROM MTRDatou.classification_theme WHERE `id` IN (3655) thcls : [{'id': 3655, 'mtr_user_id': 31, 'name': 'tfhub_18_7_2023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'pcm,pcnc,jrm,pehd,tapis_vide', 'svm_portfolios_learning': '9336904,9336905,9336903,9336906,9336909', 'photo_hashtag_type': 4723, 'photo_desc_type': 5862, 'type_classification': 'tf_classification2', 'hashtag_id_list': '560181804,1284539308,495916461,628944319,2107748999'}] thcl {'id': 3655, 'mtr_user_id': 31, 'name': 'tfhub_18_7_2023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'pcm,pcnc,jrm,pehd,tapis_vide', 'svm_portfolios_learning': '9336904,9336905,9336903,9336906,9336909', 'photo_hashtag_type': 4723, 'photo_desc_type': 5862, 'type_classification': 'tf_classification2', 'hashtag_id_list': '560181804,1284539308,495916461,628944319,2107748999'} Update svm_hashtag_type_desc : 5862 SELECT * FROM MTRDatou.photo_desc_type_params WHERE id in (5862) FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5862, 'tfhub_18_7_2023', 1280, 1280, 'tfhub_18_7_2023', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2023, 7, 18, 22, 46, 29), datetime.datetime(2023, 7, 18, 22, 46, 29)) model_name : tfhub_18_7_2023 model_param file didn't exist model_name : tfhub_18_7_2023 model_type : tf_classification2 list file need : ['Confusion_Matrix.png', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file exist in s3 : ['Confusion_Matrix.png', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file manque in s3 : [] 2025-04-17 03:39:35.082529: E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR 2025-04-17 03:39:35.084601: E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR local folder : /data/models_weight/tfhub_18_7_2023 /data/models_weight/tfhub_18_7_2023/Confusion_Matrix.png size_local : 54360 size in s3 : 54360 create time local : 2023-08-11 11:22:56 create time in s3 : 2023-07-18 20:46:28 Confusion_Matrix.png already exist and didn't need to update /data/models_weight/tfhub_18_7_2023/Precision_Recall_jrm.jpg size_local : 72583 size in s3 : 72583 create time local : 2023-08-11 11:22:56 create time in s3 : 2023-07-18 20:46:23 Precision_Recall_jrm.jpg already exist and didn't need to update /data/models_weight/tfhub_18_7_2023/Precision_Recall_pcm.jpg size_local : 81681 size in s3 : 81681 create time local : 2023-08-11 11:22:56 create time in s3 : 2023-07-18 20:46:17 Precision_Recall_pcm.jpg already exist and didn't need to update /data/models_weight/tfhub_18_7_2023/Precision_Recall_pcnc.jpg size_local : 79510 size in s3 : 79510 create time local : 2023-08-11 11:22:56 create time in s3 : 2023-07-18 20:46:23 Precision_Recall_pcnc.jpg already exist and didn't need to update /data/models_weight/tfhub_18_7_2023/Precision_Recall_pehd.jpg size_local : 59936 size in s3 : 59936 create time local : 2023-08-11 11:22:57 create time in s3 : 2023-07-18 20:46:23 Precision_Recall_pehd.jpg already exist and didn't need to update /data/models_weight/tfhub_18_7_2023/Precision_Recall_tapis_vide.jpg size_local : 78974 size in s3 : 78974 create time local : 2023-08-11 11:22:57 create time in s3 : 2023-07-18 20:46:17 Precision_Recall_tapis_vide.jpg already exist and didn't need to update /data/models_weight/tfhub_18_7_2023/Result_Summary.txt size_local : 642 size in s3 : 642 create time local : 2023-08-11 11:22:57 create time in s3 : 2023-07-18 20:46:23 Result_Summary.txt already exist and didn't need to update /data/models_weight/tfhub_18_7_2023/checkpoint size_local : 99 size in s3 : 99 create time local : 2023-08-11 11:22:57 create time in s3 : 2023-07-18 20:46:23 checkpoint already exist and didn't need to update /data/models_weight/tfhub_18_7_2023/model_checkpoint.ckpt.data-00000-of-00002 size_local : 216529 size in s3 : 216529 create time local : 2023-08-11 11:22:57 create time in s3 : 2023-07-18 20:46:17 model_checkpoint.ckpt.data-00000-of-00002 already exist and didn't need to update /data/models_weight/tfhub_18_7_2023/model_checkpoint.ckpt.data-00001-of-00002 size_local : 32279748 size in s3 : 32279748 create time local : 2023-08-11 11:22:58 create time in s3 : 2023-07-18 20:46:19 model_checkpoint.ckpt.data-00001-of-00002 already exist and didn't need to update /data/models_weight/tfhub_18_7_2023/model_checkpoint.ckpt.index size_local : 43546 size in s3 : 43546 create time local : 2023-08-11 11:22:58 create time in s3 : 2023-07-18 20:46:19 model_checkpoint.ckpt.index already exist and didn't need to update /data/models_weight/tfhub_18_7_2023/model_weights.h5 size_local : 16500868 size in s3 : 16500868 create time local : 2023-08-11 11:22:58 create time in s3 : 2023-07-18 20:46:18 model_weights.h5 already exist and didn't need to update desc size : 1280 Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_2 (InputLayer) [(None, 224, 224, 3) 0 __________________________________________________________________________________________________ input_3 (InputLayer) [(None, 1)] 0 __________________________________________________________________________________________________ module (KerasLayer) (None, 1280) 4049564 input_2[0][0] __________________________________________________________________________________________________ concatenate (Concatenate) (None, 1281) 0 input_3[0][0] module[0][0] __________________________________________________________________________________________________ tfhub_18_7_2023dense (Dense) (None, 5) 6410 concatenate[0][0] ================================================================================================== Total params: 4,055,974 Trainable params: 0 Non-trainable params: 4,055,974 __________________________________________________________________________________________________ Loading Weights... time used to create the model : 8.129366874694824 time used to load_weights : 0.12288832664489746 found 3 data found 0 labels begin to do the prediction : ERROR in datou_step_exec, will save and exit ! Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [[{{node model_2/module/StatefulPartitionedCall/StatefulPartitionedCall/StatefulPartitionedCall/stem_conv2d/StatefulPartitionedCall/Conv2D}}]] [Op:__inference_predict_function_69245] Function call stack: predict_function File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2329, in datou_exec output = datou_step_exec(sNext, args, cache, context, map_info, verbose, mtr_user_id) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2523, in datou_step_exec return lib_process.datou_step_tfhub2(param, json_param, args, cache, context, map_info, verbose) File "/home/admin/workarea/git/Velours/python/mtr/datou/lib_step_exec/lib_step_process.py", line 3146, in datou_step_tfhub2 classes, outputs, features = this_model.predict_image_paths(list_paths, keep_aspect_ratio=keep_aspect_ratio, File "/home/admin/workarea/git/Velours/python/mtr/tfhub2/evaluate.py", line 288, in predict_image_paths Y_pred, F_pred = self.model.predict(valid_generator, validation_steps) File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/training.py", line 88, in _method_wrapper return method(self, *args, **kwargs) File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/training.py", line 1268, in predict tmp_batch_outputs = predict_function(iterator) File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py", line 580, in __call__ result = self._call(*args, **kwds) File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py", line 650, in _call return self._concrete_stateful_fn._filtered_call(canon_args, canon_kwds) # pylint: disable=protected-access File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py", line 1661, in _filtered_call return self._call_flat( File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py", line 1745, in _call_flat return self._build_call_outputs(self._inference_function.call( File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py", line 593, in call outputs = execute.execute( File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/execute.py", line 59, in quick_execute tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name, [1171291875, 1171275314, 1171275372] map_info['map_portfolio_photo'] : {} final : True mtd_id 4621 list_pids : [1171291875, 1171275314, 1171275372] begin to insert list_values into mtr_datou_result : length of list_values in save_final : 3 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('4621', None, '1171291875', "[>, , , , , ' Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.\\n\\t [[{{node model_2/module/StatefulPartitionedCall/StatefulPartitionedCall/StatefulPartitionedCall/stem_conv2d/StatefulPartitionedCall/Conv2D}}]] [Op:__inference_predict_function_69245]\\n\\nFunction call stack:\\npredict_function\\n']", '-1', '-1.0', '501120777', '1.0', None), ('4621', None, '1171275314', "[>, , , , , ' Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.\\n\\t [[{{node model_2/module/StatefulPartitionedCall/StatefulPartitionedCall/StatefulPartitionedCall/stem_conv2d/StatefulPartitionedCall/Conv2D}}]] [Op:__inference_predict_function_69245]\\n\\nFunction call stack:\\npredict_function\\n']", '-1', '-1.0', '501120777', '1.0', None), ('4621', None, '1171275372', "[>, , , , , ' Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.\\n\\t [[{{node model_2/module/StatefulPartitionedCall/StatefulPartitionedCall/StatefulPartitionedCall/stem_conv2d/StatefulPartitionedCall/Conv2D}}]] [Op:__inference_predict_function_69245]\\n\\nFunction call stack:\\npredict_function\\n']", '-1', '-1.0', '501120777', '1.0', None)] time used for this insertion : 0.016000986099243164 save_final ERROR in last step tfhub_classification2, Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [[{{node model_2/module/StatefulPartitionedCall/StatefulPartitionedCall/StatefulPartitionedCall/stem_conv2d/StatefulPartitionedCall/Conv2D}}]] [Op:__inference_predict_function_69245] Function call stack: predict_function time spend for datou_step_exec : 137.6139783859253 time spend to save output : 0.016549348831176758 total time spend for step 0 : 137.63052773475647 need to delete datou_research and reload, so keep current state 1 caffe_path_current : About to save ! 2 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 2 output : None probably due to empty image bug ERROR expected : {'1171291875': [(1171291875, 'tapis_vide', 0.97062814, 4723, '3655'), 'temp/1691745841_1143057_1171291875_b62cd9e0d976b143f86fe82d072798c0.jpg'], '1171275372': [(1171275372, 'tapis_vide', 0.9674145, 4723, '3655'), 'temp/1691745841_1143057_1171275372_76d81364ff7df843bff095f45c07ba35.jpg'], '1171275314': [(1171275314, 'tapis_vide', 0.96509415, 4723, '3655'), 'temp/1691745841_1143057_1171275314_6e0a72c8fa00d5e4b018bd689b547133.jpg']} got : None ERROR tfhub2 FAILED ############################### TEST ordonner ################################ To do loadFromThcl(), then load ParamDescType : thcl358 get_desc_type_from_thcl : type of cat SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists, photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at, type_classification FROM MTRDatou.classification_theme WHERE `id` IN (358) thcls : [{'id': 358, 'mtr_user_id': 31, 'name': 'car_orientation_0111', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'FirstUploadExperveo_vignette__port_505674,CAR_EXTERIEUR_Roue__port_503398,FirstUploadExperveo_carrosseriegrosplan_VIndanslamoquette__port_506486,FirstUploadExperveo_carrosseriegrosplan_siegegrosplan__port_506485,CAR_EXTERIEUR_Cote_droit_axe_avant__port_504465,CAR_EXTERIEUR_Cote_gauche_axe_arriere__port_504198,CAR_EXTERIEUR_Face_avant_axe_droit__port_504451,CAR_EXTERIEUR_angle_avant_gauche_axe_avant__port_504235,FirstUploadExperveo_vin__port_505675,CAR_EXTERIEUR_cote_droite__port_504108,CAR_INTERIEUR_avant_volant_class_6_levierdevitesse__port_506565,FirstUploadExperveo_carrosseriegrosplan_carrosserie__port_506483,CAR_EXTERIEUR_Angle_arriere_gauche_axe_arriere__port_504201,cartegrise_orientation__port_505064,CAR_EXTERIEUR_Angle_arriere_droit_axe_arriere__port_504217,CAR_INTERIEUR_avant_vue-arriere_class_1__port_506531,CAR_EXTERIEUR_Face_arriere_axe_droit__port_504218,CAR_EXTERIEUR_Cote_droit_axe_arriere__port_504214,CAR_EXTERIEUR_Angle_avant_droit__port_504087,FirstUploadExperveo_carrosseriegrosplan_morceauderoue__port_506484,CAR_INTERIEUR_avant_volant_class_6_class_2__port_506563,CAR_EXTERIEUR_Angle_arriere_droit__port_504160,CAR_EXTERIEUR_arriere__port_504184,CAR_INTERIEUR_avant_volant_class_6_boutonrond__port_506562,INTERIEUR_Compteur_kilometrique__port_503644,CAR_INTERIEUR_avant_vue_gauche_habitacle_class_1__port_506494,CAR_EXTERIEUR_Angle_arriere_gauche__port_504170,CAR_EXTERIEUR_Angle_avant_droit_axe_arriere__port_504226,CAR_EXTERIEUR_Face_arriere_axe_gauche__port_504202,CAR_EXTERIEUR_moteur__port_503704,FirstUploadExperveo_carrosseriegrosplan_class_6__port_506487,CAR_INTERIEUR_siege_arriere_class_1__port_506551,CAR_EXTERIEUR_avant__port_504146,CAR_EXTERIEUR_Angle_arriere_droit_axe_droit__port_504215,CAR_EXTERIEUR_Angle_avant_droit_axe_droit__port_504225,CAR_INTERIEUR_avant_volant_class_6_ecrangrosplan__port_506564,FirstUploadExperveo_carrosseriegrosplan_moteurgrosplanetdegat__port_506482,CAR_INTERIEUR_coffre__port_503412,FirstUploadExperveo_rouetranche__port_505677,UploadPhotoImmatBest_class_1__port_505051,CAR_INTERIEUR_avant_vue-arriere_class_2__port_506532,CAR_EXTERIEUR_angle_avant_gauche__port_504098,CAR_EXTERIEUR_face_avant_axe_gauche__port_504236,CAR_INTERIEUR_avant_vue_droite_habitacle_class_1__port_506540,CAR_EXTERIEUR_cote_gauche_axe_avant__port_504233,CAR_EXTERIEUR_roue_de_secour__port_503763,CAR_EXTERIEUR_Angle_arriere_gauche_axe_gauche__port_504199,CAR_EXTERIEUR_cote_gauche__port_504017,CAR_INTERIEUR_avant_volant_class_1__port_506503,CAR_INTERIEUR_avant_volant_class_2__port_506504,CAR_EXTERIEUR_angle_avant_gauche_axe_gauche__port_504234', 'svm_portfolios_learning': '505674,503398,506486,506485,504465,504198,504451,504235,505675,504108,506565,506483,504201,505064,504217,506531,504218,504214,504087,506484,506563,504160,504184,506562,503644,506494,504170,504226,504202,503704,506487,506551,504146,504215,504225,506564,506482,503412,505677,505051,506532,504098,504236,506540,504233,503763,504199,504017,506503,506504,504234', 'photo_hashtag_type': 337, 'photo_desc_type': 3392, 'type_classification': 'caffe', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}] thcl {'id': 358, 'mtr_user_id': 31, 'name': 'car_orientation_0111', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'FirstUploadExperveo_vignette__port_505674,CAR_EXTERIEUR_Roue__port_503398,FirstUploadExperveo_carrosseriegrosplan_VIndanslamoquette__port_506486,FirstUploadExperveo_carrosseriegrosplan_siegegrosplan__port_506485,CAR_EXTERIEUR_Cote_droit_axe_avant__port_504465,CAR_EXTERIEUR_Cote_gauche_axe_arriere__port_504198,CAR_EXTERIEUR_Face_avant_axe_droit__port_504451,CAR_EXTERIEUR_angle_avant_gauche_axe_avant__port_504235,FirstUploadExperveo_vin__port_505675,CAR_EXTERIEUR_cote_droite__port_504108,CAR_INTERIEUR_avant_volant_class_6_levierdevitesse__port_506565,FirstUploadExperveo_carrosseriegrosplan_carrosserie__port_506483,CAR_EXTERIEUR_Angle_arriere_gauche_axe_arriere__port_504201,cartegrise_orientation__port_505064,CAR_EXTERIEUR_Angle_arriere_droit_axe_arriere__port_504217,CAR_INTERIEUR_avant_vue-arriere_class_1__port_506531,CAR_EXTERIEUR_Face_arriere_axe_droit__port_504218,CAR_EXTERIEUR_Cote_droit_axe_arriere__port_504214,CAR_EXTERIEUR_Angle_avant_droit__port_504087,FirstUploadExperveo_carrosseriegrosplan_morceauderoue__port_506484,CAR_INTERIEUR_avant_volant_class_6_class_2__port_506563,CAR_EXTERIEUR_Angle_arriere_droit__port_504160,CAR_EXTERIEUR_arriere__port_504184,CAR_INTERIEUR_avant_volant_class_6_boutonrond__port_506562,INTERIEUR_Compteur_kilometrique__port_503644,CAR_INTERIEUR_avant_vue_gauche_habitacle_class_1__port_506494,CAR_EXTERIEUR_Angle_arriere_gauche__port_504170,CAR_EXTERIEUR_Angle_avant_droit_axe_arriere__port_504226,CAR_EXTERIEUR_Face_arriere_axe_gauche__port_504202,CAR_EXTERIEUR_moteur__port_503704,FirstUploadExperveo_carrosseriegrosplan_class_6__port_506487,CAR_INTERIEUR_siege_arriere_class_1__port_506551,CAR_EXTERIEUR_avant__port_504146,CAR_EXTERIEUR_Angle_arriere_droit_axe_droit__port_504215,CAR_EXTERIEUR_Angle_avant_droit_axe_droit__port_504225,CAR_INTERIEUR_avant_volant_class_6_ecrangrosplan__port_506564,FirstUploadExperveo_carrosseriegrosplan_moteurgrosplanetdegat__port_506482,CAR_INTERIEUR_coffre__port_503412,FirstUploadExperveo_rouetranche__port_505677,UploadPhotoImmatBest_class_1__port_505051,CAR_INTERIEUR_avant_vue-arriere_class_2__port_506532,CAR_EXTERIEUR_angle_avant_gauche__port_504098,CAR_EXTERIEUR_face_avant_axe_gauche__port_504236,CAR_INTERIEUR_avant_vue_droite_habitacle_class_1__port_506540,CAR_EXTERIEUR_cote_gauche_axe_avant__port_504233,CAR_EXTERIEUR_roue_de_secour__port_503763,CAR_EXTERIEUR_Angle_arriere_gauche_axe_gauche__port_504199,CAR_EXTERIEUR_cote_gauche__port_504017,CAR_INTERIEUR_avant_volant_class_1__port_506503,CAR_INTERIEUR_avant_volant_class_2__port_506504,CAR_EXTERIEUR_angle_avant_gauche_axe_gauche__port_504234', 'svm_portfolios_learning': '505674,503398,506486,506485,504465,504198,504451,504235,505675,504108,506565,506483,504201,505064,504217,506531,504218,504214,504087,506484,506563,504160,504184,506562,503644,506494,504170,504226,504202,503704,506487,506551,504146,504215,504225,506564,506482,503412,505677,505051,506532,504098,504236,506540,504233,503763,504199,504017,506503,506504,504234', 'photo_hashtag_type': 337, 'photo_desc_type': 3392, 'type_classification': 'caffe', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 3392 ['FirstUploadExperveo_vignette__port_505674', 'CAR_EXTERIEUR_Roue__port_503398', 'FirstUploadExperveo_carrosseriegrosplan_VIndanslamoquette__port_506486', 'FirstUploadExperveo_carrosseriegrosplan_siegegrosplan__port_506485', 'CAR_EXTERIEUR_Cote_droit_axe_avant__port_504465', 'CAR_EXTERIEUR_Cote_gauche_axe_arriere__port_504198', 'CAR_EXTERIEUR_Face_avant_axe_droit__port_504451', 'CAR_EXTERIEUR_angle_avant_gauche_axe_avant__port_504235', 'FirstUploadExperveo_vin__port_505675', 'CAR_EXTERIEUR_cote_droite__port_504108', 'CAR_INTERIEUR_avant_volant_class_6_levierdevitesse__port_506565', 'FirstUploadExperveo_carrosseriegrosplan_carrosserie__port_506483', 'CAR_EXTERIEUR_Angle_arriere_gauche_axe_arriere__port_504201', 'cartegrise_orientation__port_505064', 'CAR_EXTERIEUR_Angle_arriere_droit_axe_arriere__port_504217', 'CAR_INTERIEUR_avant_vue-arriere_class_1__port_506531', 'CAR_EXTERIEUR_Face_arriere_axe_droit__port_504218', 'CAR_EXTERIEUR_Cote_droit_axe_arriere__port_504214', 'CAR_EXTERIEUR_Angle_avant_droit__port_504087', 'FirstUploadExperveo_carrosseriegrosplan_morceauderoue__port_506484', 'CAR_INTERIEUR_avant_volant_class_6_class_2__port_506563', 'CAR_EXTERIEUR_Angle_arriere_droit__port_504160', 'CAR_EXTERIEUR_arriere__port_504184', 'CAR_INTERIEUR_avant_volant_class_6_boutonrond__port_506562', 'INTERIEUR_Compteur_kilometrique__port_503644', 'CAR_INTERIEUR_avant_vue_gauche_habitacle_class_1__port_506494', 'CAR_EXTERIEUR_Angle_arriere_gauche__port_504170', 'CAR_EXTERIEUR_Angle_avant_droit_axe_arriere__port_504226', 'CAR_EXTERIEUR_Face_arriere_axe_gauche__port_504202', 'CAR_EXTERIEUR_moteur__port_503704', 'FirstUploadExperveo_carrosseriegrosplan_class_6__port_506487', 'CAR_INTERIEUR_siege_arriere_class_1__port_506551', 'CAR_EXTERIEUR_avant__port_504146', 'CAR_EXTERIEUR_Angle_arriere_droit_axe_droit__port_504215', 'CAR_EXTERIEUR_Angle_avant_droit_axe_droit__port_504225', 'CAR_INTERIEUR_avant_volant_class_6_ecrangrosplan__port_506564', 'FirstUploadExperveo_carrosseriegrosplan_moteurgrosplanetdegat__port_506482', 'CAR_INTERIEUR_coffre__port_503412', 'FirstUploadExperveo_rouetranche__port_505677', 'UploadPhotoImmatBest_class_1__port_505051', 'CAR_INTERIEUR_avant_vue-arriere_class_2__port_506532', 'CAR_EXTERIEUR_angle_avant_gauche__port_504098', 'CAR_EXTERIEUR_face_avant_axe_gauche__port_504236', 'CAR_INTERIEUR_avant_vue_droite_habitacle_class_1__port_506540', 'CAR_EXTERIEUR_cote_gauche_axe_avant__port_504233', 'CAR_EXTERIEUR_roue_de_secour__port_503763', 'CAR_EXTERIEUR_Angle_arriere_gauche_axe_gauche__port_504199', 'CAR_EXTERIEUR_cote_gauche__port_504017', 'CAR_INTERIEUR_avant_volant_class_1__port_506503', 'CAR_INTERIEUR_avant_volant_class_2__port_506504', 'CAR_EXTERIEUR_angle_avant_gauche_axe_gauche__port_504234'] 51 SELECT hashtag_id,hashtag FROM MTRBack.hashtags where hashtag in ('FirstUploadExperveo_vignette__port_505674','CAR_EXTERIEUR_Roue__port_503398','FirstUploadExperveo_carrosseriegrosplan_VIndanslamoquette__port_506486','FirstUploadExperveo_carrosseriegrosplan_siegegrosplan__port_506485','CAR_EXTERIEUR_Cote_droit_axe_avant__port_504465','CAR_EXTERIEUR_Cote_gauche_axe_arriere__port_504198','CAR_EXTERIEUR_Face_avant_axe_droit__port_504451','CAR_EXTERIEUR_angle_avant_gauche_axe_avant__port_504235','FirstUploadExperveo_vin__port_505675','CAR_EXTERIEUR_cote_droite__port_504108','CAR_INTERIEUR_avant_volant_class_6_levierdevitesse__port_506565','FirstUploadExperveo_carrosseriegrosplan_carrosserie__port_506483','CAR_EXTERIEUR_Angle_arriere_gauche_axe_arriere__port_504201','cartegrise_orientation__port_505064','CAR_EXTERIEUR_Angle_arriere_droit_axe_arriere__port_504217','CAR_INTERIEUR_avant_vue-arriere_class_1__port_506531','CAR_EXTERIEUR_Face_arriere_axe_droit__port_504218','CAR_EXTERIEUR_Cote_droit_axe_arriere__port_504214','CAR_EXTERIEUR_Angle_avant_droit__port_504087','FirstUploadExperveo_carrosseriegrosplan_morceauderoue__port_506484','CAR_INTERIEUR_avant_volant_class_6_class_2__port_506563','CAR_EXTERIEUR_Angle_arriere_droit__port_504160','CAR_EXTERIEUR_arriere__port_504184','CAR_INTERIEUR_avant_volant_class_6_boutonrond__port_506562','INTERIEUR_Compteur_kilometrique__port_503644','CAR_INTERIEUR_avant_vue_gauche_habitacle_class_1__port_506494','CAR_EXTERIEUR_Angle_arriere_gauche__port_504170','CAR_EXTERIEUR_Angle_avant_droit_axe_arriere__port_504226','CAR_EXTERIEUR_Face_arriere_axe_gauche__port_504202','CAR_EXTERIEUR_moteur__port_503704','FirstUploadExperveo_carrosseriegrosplan_class_6__port_506487','CAR_INTERIEUR_siege_arriere_class_1__port_506551','CAR_EXTERIEUR_avant__port_504146','CAR_EXTERIEUR_Angle_arriere_droit_axe_droit__port_504215','CAR_EXTERIEUR_Angle_avant_droit_axe_droit__port_504225','CAR_INTERIEUR_avant_volant_class_6_ecrangrosplan__port_506564','FirstUploadExperveo_carrosseriegrosplan_moteurgrosplanetdegat__port_506482','CAR_INTERIEUR_coffre__port_503412','FirstUploadExperveo_rouetranche__port_505677','UploadPhotoImmatBest_class_1__port_505051','CAR_INTERIEUR_avant_vue-arriere_class_2__port_506532','CAR_EXTERIEUR_angle_avant_gauche__port_504098','CAR_EXTERIEUR_face_avant_axe_gauche__port_504236','CAR_INTERIEUR_avant_vue_droite_habitacle_class_1__port_506540','CAR_EXTERIEUR_cote_gauche_axe_avant__port_504233','CAR_EXTERIEUR_roue_de_secour__port_503763','CAR_EXTERIEUR_Angle_arriere_gauche_axe_gauche__port_504199','CAR_EXTERIEUR_cote_gauche__port_504017','CAR_INTERIEUR_avant_volant_class_1__port_506503','CAR_INTERIEUR_avant_volant_class_2__port_506504','CAR_EXTERIEUR_angle_avant_gauche_axe_gauche__port_504234'); 51 dict_keys(['cartegrise_orientation__port_505064', 'car_exterieur_angle_arriere_droit_axe_arriere__port_504217', 'car_exterieur_angle_arriere_droit_axe_droit__port_504215', 'car_exterieur_angle_arriere_droit__port_504160', 'car_exterieur_angle_arriere_gauche_axe_arriere__port_504201', 'car_exterieur_angle_arriere_gauche_axe_gauche__port_504199', 'car_exterieur_angle_arriere_gauche__port_504170', 'car_exterieur_angle_avant_droit_axe_arriere__port_504226', 'car_exterieur_angle_avant_droit_axe_droit__port_504225', 'car_exterieur_angle_avant_droit__port_504087', 'car_exterieur_angle_avant_gauche_axe_avant__port_504235', 'car_exterieur_angle_avant_gauche_axe_gauche__port_504234', 'car_exterieur_angle_avant_gauche__port_504098', 'car_exterieur_arriere__port_504184', 'car_exterieur_avant__port_504146', 'car_exterieur_cote_droite__port_504108', 'car_exterieur_cote_droit_axe_arriere__port_504214', 'car_exterieur_cote_droit_axe_avant__port_504465', 'car_exterieur_cote_gauche_axe_arriere__port_504198', 'car_exterieur_cote_gauche_axe_avant__port_504233', 'car_exterieur_cote_gauche__port_504017', 'car_exterieur_face_arriere_axe_droit__port_504218', 'car_exterieur_face_arriere_axe_gauche__port_504202', 'car_exterieur_face_avant_axe_droit__port_504451', 'car_exterieur_face_avant_axe_gauche__port_504236', 'car_exterieur_moteur__port_503704', 'car_exterieur_roue_de_secour__port_503763', 'car_exterieur_roue__port_503398', 'car_interieur_avant_volant_class_1__port_506503', 'car_interieur_avant_volant_class_2__port_506504', 'car_interieur_avant_volant_class_6_boutonrond__port_506562', 'car_interieur_avant_volant_class_6_class_2__port_506563', 'car_interieur_avant_volant_class_6_ecrangrosplan__port_506564', 'car_interieur_avant_volant_class_6_levierdevitesse__port_506565', 'car_interieur_avant_vue-arriere_class_1__port_506531', 'car_interieur_avant_vue-arriere_class_2__port_506532', 'car_interieur_avant_vue_droite_habitacle_class_1__port_506540', 'car_interieur_avant_vue_gauche_habitacle_class_1__port_506494', 'car_interieur_coffre__port_503412', 'car_interieur_siege_arriere_class_1__port_506551', 'firstuploadexperveo_carrosseriegrosplan_carrosserie__port_506483', 'firstuploadexperveo_carrosseriegrosplan_class_6__port_506487', 'firstuploadexperveo_carrosseriegrosplan_morceauderoue__port_506484', 'firstuploadexperveo_carrosseriegrosplan_moteurgrosplanetdegat__port_506482', 'firstuploadexperveo_carrosseriegrosplan_siegegrosplan__port_506485', 'firstuploadexperveo_carrosseriegrosplan_vindanslamoquette__port_506486', 'firstuploadexperveo_rouetranche__port_505677', 'firstuploadexperveo_vignette__port_505674', 'firstuploadexperveo_vin__port_505675', 'interieur_compteur_kilometrique__port_503644', 'uploadphotoimmatbest_class_1__port_505051']) select photo_hashtag_type from MTRDatou.classification_theme where id = 358 thcl : 358 photo_hashtag_type : 337 SELECT phi.hashtag_id , phi.photo_id FROM MTRBack.photo_hashtag_ids phi, MTRUser.mtr_portfolio_photos mp where phi.type = 337 and phi.photo_id = mp.mtr_photo_id and mp.mtr_portfolio_id =510365; {510365: [(917973295, 1), (917973297, 1), (917973302, 1), (917973293, 7), (917973296, 11), (917973300, 11), (917973286, 13), (917973289, 13), (917973301, 24), (917973285, 29), (917973290, 29), (917973299, 29), (917973304, 35), (917973287, 36), (917973298, 36), (917973305, 36), (917973292, 37), (917973291, 41), (917973303, 41), (917973294, 42), (917973288, 46)]} ############################### TEST rotate ################################ test rotate only Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=230 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=230 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 230 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=230 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : rotate list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (917849322) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 917849322 download finish for photo 917849322 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.16918301582336426 #### 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 Thu Apr 17 03:39:40 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg': 917849322} map_photo_id_path_extension : {917849322: {'path': 'temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou_step_rotate ! We are in a linear step without datou_depend ! rotate photos of 90,180,270 degres batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 917849322) and `type` in (0) Loaded 0 chid ids of type : 0 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in () map_chi : {} photo_id in download_rotate_and_save : 917849322 list_chi_loc : 0 Use all angle ! Rotation of photo 917849322 of 90 degree temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg [] 90 remove_crop_border : False version de PIL : 9.5.0 Needs to change image size ! [[ 6.123234e-17 1.000000e+00] [-1.000000e+00 6.123234e-17]] 90 [[ 6.123234e-17 1.000000e+00] [-1.000000e+00 6.123234e-17]] shrink_image : False image_rotate : image_path : temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg path_name_rotate : temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c454890.jpg image_rotate.mode : RGB Rotation of photo 917849322 of 180 degree temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg [] 180 remove_crop_border : False version de PIL : 9.5.0 Needs to change image size ! [[-1.0000000e+00 1.2246468e-16] [-1.2246468e-16 -1.0000000e+00]] 180 [[-1.0000000e+00 1.2246468e-16] [-1.2246468e-16 -1.0000000e+00]] shrink_image : False image_rotate : image_path : temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg path_name_rotate : temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548180.jpg image_rotate.mode : RGB Rotation of photo 917849322 of 270 degree temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg [] 270 remove_crop_border : False version de PIL : 9.5.0 Needs to change image size ! [[-1.8369702e-16 -1.0000000e+00] [ 1.0000000e+00 -1.8369702e-16]] 270 [[-1.8369702e-16 -1.0000000e+00] [ 1.0000000e+00 -1.8369702e-16]] shrink_image : False image_rotate : image_path : temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg path_name_rotate : temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548270.jpg image_rotate.mode : RGB About to upload 3 photos upload in portfolio : 551782 init cache_photo without model_param we have 3 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744853981_1331777 we have uploaded 3 photos in the portfolio 551782 time of upload the photos Elapsed time : 1.1860363483428955 map_filename_photo_id : 3 map_filename_photo_id : {'temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c454890.jpg': 1350609013, 'temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548180.jpg': 1350609014, 'temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548270.jpg': 1350609015} Len new_chis : 3 Len list_new_chi_with_photo_id : 0 of type : 0 list_new_chi_with_photo_id : [] After datou_step_exec type output : time spend for datou_step_exec : 1.4221129417419434 time spend to save output : 5.125999450683594e-05 total time spend for step 1 : 1.4221642017364502 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : True saveOutput not yet implemented for datou_step.type : rotate we use saveGeneral [917849322] map_info['map_portfolio_photo'] : {} final : True mtd_id 230 list_pids : [917849322] Looping around the photos to save general results len do output : 3 /1350609013Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350609014Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350609015Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('230', None, None, None, None, None, None, None, None) ('230', None, '917849322', None, None, None, None, None, None) begin to insert list_values into mtr_datou_result : length of list_values in save_final : 10 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('230', None, '1350609013', 'None', None, None, None, None, None), ('230', None, '1350609014', 'None', None, None, None, None, None), ('230', None, '1350609015', 'None', None, None, None, None, None), ('230', None, '917849322', None, None, None, None, None, None)] time used for this insertion : 0.07178640365600586 save_final save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {1350609013: ['917849322', 'temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c454890.jpg', []], 1350609014: ['917849322', 'temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548180.jpg', []], 1350609015: ['917849322', 'temp/1744853980_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548270.jpg', []]} test rotate only is a success ! test rotate conditionnel Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=233 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=233 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 233 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=233 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! no param json to modify List Step Type Loaded in datou : thcl, argmax, rotate list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (917849322) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 917849322 download finish for photo 917849322 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.11504483222961426 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 3 step1:thcl Thu Apr 17 03:39:42 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg': 917849322} map_photo_id_path_extension : {917849322: {'path': 'temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou step Thcl ! multi_thcl or not :False multi_thcl_cond or not :False dic_thcl : {'500': 1} we are using the classfication for only one thcl 500 In convert_file_to_np l 337 : 1 l343 1 l357 after caffe.io.load_image dimension du image : (3, (2448, 3264, 3)) dimension displayed ! time to import caffe and check if the image exist : 0.0002200603485107422 time to convert the images to numpy array : 1.766768217086792 total time to convert the images to numpy array : 1.7675471305847168 list photo_ids error: [] list photo_ids correct : [917849322] number of photos to traite : 1 try to delete the photos incorrect in DB tagging for thcl : 500 To do loadFromThcl(), then load ParamDescType : thcl500 get_desc_type_from_thcl : type of cat SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists, photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at, type_classification FROM MTRDatou.classification_theme WHERE `id` IN (500) thcls : [{'id': 500, 'mtr_user_id': 31, 'name': 'orientation_carte_grise_all_2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'carteGrisesVerticales__port_549774,cartegrise_90deg__port_550987,cartesGrisesEnvers__port_549765,portfolio_270deg__port_550988', 'svm_portfolios_learning': '549774,550987,549765,550988', 'photo_hashtag_type': 507, 'photo_desc_type': 3517, 'type_classification': 'caffe', 'hashtag_id_list': '0,0,0,0'}] thcl {'id': 500, 'mtr_user_id': 31, 'name': 'orientation_carte_grise_all_2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'carteGrisesVerticales__port_549774,cartegrise_90deg__port_550987,cartesGrisesEnvers__port_549765,portfolio_270deg__port_550988', 'svm_portfolios_learning': '549774,550987,549765,550988', 'photo_hashtag_type': 507, 'photo_desc_type': 3517, 'type_classification': 'caffe', 'hashtag_id_list': '0,0,0,0'} Update svm_hashtag_type_desc : 3517 SELECT * FROM MTRDatou.photo_desc_type_params WHERE id in (3517) FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3517, 'orientation_carte_grise_all_2', 16384, 25088, 'orientation_carte_grise_all_2', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 4, 18, 20, 4, 34), datetime.datetime(2018, 4, 18, 20, 4, 34)) To loadFromThcl() : net_3517 begin to check gpu status inside check gpu memory havn't enough memory gpu , need / 2500 l 3632 free memory gpu now : 6 wait 20 seconds l 3637 free memory gpu now : 6 max_wait_temp : 1 max_wait : 0 SELECT * FROM MTRDatou.photo_desc_type_params WHERE id in (3517) FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3517, 'orientation_carte_grise_all_2', 16384, 25088, 'orientation_carte_grise_all_2', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 4, 18, 20, 4, 34), datetime.datetime(2018, 4, 18, 20, 4, 34)) param : , param.caffemodel : orientation_carte_grise_all_2 None mean_file_type : mean_file_path : prototxt_file_path : model : orientation_carte_grise_all_2 Inside get_net Inside get_net before cache_data_model model_param file didn't exist Inside get_net before CDM.load_model_par_type model_name : orientation_carte_grise_all_2 model_type : caffe list file need : ['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file exist in s3 : ['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file manque in s3 : [] local folder : /data/models_weight/orientation_carte_grise_all_2 /data/models_weight/orientation_carte_grise_all_2/caffemodel size_local : 537110520 size in s3 : 537110520 create time local : 2021-08-09 05:29:00 create time in s3 : 2021-08-06 20:07:17 caffemodel already exist and didn't need to update /data/models_weight/orientation_carte_grise_all_2/deploy_conv_normal.prototxt size_local : 4626 size in s3 : 4626 create time local : 2021-08-09 05:29:00 create time in s3 : 2021-08-06 20:07:16 deploy_conv_normal.prototxt already exist and didn't need to update /data/models_weight/orientation_carte_grise_all_2/deploy_fc.prototxt size_local : 1130 size in s3 : 1130 create time local : 2021-08-09 05:29:00 create time in s3 : 2021-08-06 20:07:16 deploy_fc.prototxt already exist and didn't need to update /data/models_weight/orientation_carte_grise_all_2/deploy.prototxt size_local : 5653 size in s3 : 5653 create time local : 2021-08-09 05:29:00 create time in s3 : 2021-08-06 20:07:16 deploy.prototxt already exist and didn't need to update /data/models_weight/orientation_carte_grise_all_2/mean.npy size_local : 1572992 size in s3 : 1572992 create time local : 2021-08-09 05:29:00 create time in s3 : 2021-08-06 20:07:31 mean.npy already exist and didn't need to update /data/models_weight/orientation_carte_grise_all_2/synset_words.txt size_local : 159 size in s3 : 159 create time local : 2021-08-09 05:29:00 create time in s3 : 2021-08-06 20:07:16 synset_words.txt already exist and didn't need to update Inside get_net after CDM.load_model_par_type After if not only_with_local_cache: /home/admin/workarea/install/caffe_cuda8_python3/python/:/home/admin/workarea/install/darknet/:/home/admin/workarea/git/Velours/python:/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python:/home/admin/mtr/.credentials:/home/admin/workarea/install/caffe/python:/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools/:/home/admin/workarea/git/fotonowerpip/:/home/admin/workarea/install/segment-anything:/home/admin//workarea/git/pyfvs/ Here before set mode gpu Doing nothing but we could set mode gpu after set mode gpu prototxt_filename : /data/models_weight/orientation_carte_grise_all_2/deploy.prototxt caffemodel_filename : /data/models_weight/orientation_carte_grise_all_2/caffemodel now we set caffe to gpu mode before predict begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 3785 max_wait_temp : 1 max_wait : 0 dict_keys(['prob', 'pool5']) time used to do the prepocess of the images : 3.989910125732422 time used to do the prediction : 0.21401333808898926 save descriptor for thcl : 500 (1, 512, 7, 7) Got the blobs of the net to insert : [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] code_as_byte_string:b'0000000000'| time to traite the descriptors : 0.04943108558654785 Testing : ['917849322'] In select_photos_meta_from_ids: SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text FROM MTRBack.photos WHERE photo_id IN (917849322) result : {917849322: {'photo_id': 917849322, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2022/9/13/2bd260e91e91df8378dde8bb8b8c4548.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_13092022_12_32_19_5566.jpg'}} list_photo_exists : [917849322] storage_type for insertDescriptorsMulti : 1 To insert : 917849322 time to insert the descriptors : 0.6141695976257324 After datou_step_exec type output : time spend for datou_step_exec : 32.21571230888367 time spend to save output : 6.127357482910156e-05 total time spend for step 1 : 32.215773582458496 step2:argmax Thu Apr 17 03:40:14 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 : {'917849322': [[('917849322', 'carteGrisesVerticales__port_549774', 0.9976495, 507, '500'), ('917849322', 'cartegrise_90deg__port_550987', 0.00050364784, 507, '500'), ('917849322', 'cartesGrisesEnvers__port_549765', 0.00036644458, 507, '500'), ('917849322', 'portfolio_270deg__port_550988', 0.0014804557, 507, '500')]]} input_args_next_step : {'917849322': ()} output_args : {'917849322': [[('917849322', 'carteGrisesVerticales__port_549774', 0.9976495, 507, '500'), ('917849322', 'cartegrise_90deg__port_550987', 0.00050364784, 507, '500'), ('917849322', 'cartesGrisesEnvers__port_549765', 0.00036644458, 507, '500'), ('917849322', 'portfolio_270deg__port_550988', 0.0014804557, 507, '500')]]} args : 917849322 depend.output_id : 0 VR 22-3-18 : For now we do not clean correctly the datou structure input_args_next_step, len :1, first value : ([('917849322', 'carteGrisesVerticales__port_549774', 0.9976495, 507, '500'), ('917849322', 'cartegrise_90deg__port_550987', 0.00050364784, 507, '500'), ('917849322', 'cartesGrisesEnvers__port_549765', 0.00036644458, 507, '500'), ('917849322', 'portfolio_270deg__port_550988', 0.0014804557, 507, '500')],) After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg': 917849322} map_photo_id_path_extension : {917849322: {'path': 'temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou_step Argmax ! calculate argmax for thcl : 500 After datou_step_exec type output : time spend for datou_step_exec : 0.0002315044403076172 time spend to save output : 1.2874603271484375e-05 total time spend for step 2 : 0.00024437904357910156 step3:rotate Thu Apr 17 03:40:14 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 : {'917849322': [('917849322', 'carteGrisesVerticales__port_549774', 0.9976495, 507, '500'), 'temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg']} input_args_next_step : {'917849322': ()} output_args : {'917849322': [('917849322', 'carteGrisesVerticales__port_549774', 0.9976495, 507, '500'), 'temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg']} args : 917849322 depend.output_id : 1 complete output_args for input 1 : {'917849322': [('917849322', 'carteGrisesVerticales__port_549774', 0.9976495, 507, '500'), 'temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg']} input_args_next_step : {'917849322': ('temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg',)} output_args : {'917849322': [('917849322', 'carteGrisesVerticales__port_549774', 0.9976495, 507, '500'), 'temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg']} args : 917849322 depend.output_id : 0 VR 22-3-18 : For now we do not clean correctly the datou structure input_args_next_step, len :1, first value : ('temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg', ('917849322', 'carteGrisesVerticales__port_549774', 0.9976495, 507, '500')) After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg': 917849322} map_photo_id_path_extension : {917849322: {'path': 'temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou_step_rotate ! We are in a datou with depends ! angle_condi : {'carteGrisesVerticales__port_549774': 0, 'cartegrise_90deg__port_550987': 270, 'portfolio_270deg__port_550988': 90, 'cartesGrisesEnvers__port_549765': 180} rotate photos for hashtag carteGrisesVerticales__port_549774 of 0 degres 1 photos founded : [917849322] batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 917849322) and `type` in (0) Loaded 0 chid ids of type : 0 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in () map_chi : {} photo_id in download_rotate_and_save : 917849322 list_chi_loc : 0 Use all angle ! Rotation of photo 917849322 of 0 degree temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg [] 0 remove_crop_border : False version de PIL : 9.5.0 Needs to change image size ! [[ 1. 0.] [-0. 1.]] 0 [[ 1. 0.] [-0. 1.]] shrink_image : False image_rotate : image_path : temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c4548.jpg path_name_rotate : temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c45480.jpg image_rotate.mode : RGB About to upload 1 photos upload in portfolio : 551782 init cache_photo without model_param we have 1 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744854015_1331777 we have uploaded 1 photos in the portfolio 551782 time of upload the photos Elapsed time : 0.7347815036773682 map_filename_photo_id : 1 map_filename_photo_id : {'temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c45480.jpg': 1350609052} Len new_chis : 1 Len list_new_chi_with_photo_id : 0 of type : 0 list_new_chi_with_photo_id : [] rotate photos for hashtag cartegrise_90deg__port_550987 of 270 degres 0 photos founded : [] rotate photos for hashtag portfolio_270deg__port_550988 of 90 degres 0 photos founded : [] rotate photos for hashtag cartesGrisesEnvers__port_549765 of 180 degres 0 photos founded : [] After datou_step_exec type output : time spend for datou_step_exec : 0.8359863758087158 time spend to save output : 4.839897155761719e-05 total time spend for step 3 : 0.8360347747802734 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : True saveOutput not yet implemented for datou_step.type : rotate we use saveGeneral [917849322] map_info['map_portfolio_photo'] : {} final : True mtd_id 233 list_pids : [917849322] Looping around the photos to save general results len do output : 1 /1350609052Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('233', None, None, None, None, None, None, None, None) ('233', None, '917849322', None, None, None, None, None, None) begin to insert list_values into mtr_datou_result : length of list_values in save_final : 4 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('233', None, '1350609052', 'None', None, None, None, None, None), ('233', None, '917849322', None, None, None, None, None, None)] time used for this insertion : 0.01641845703125 save_final save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 3 output : {1350609052: ['917849322', 'temp/1744853982_1331777_917849322_2bd260e91e91df8378dde8bb8b8c45480.jpg', []]} ############################### TEST data_augmentation_ellipse_varroa_tile_rotate ################################ SELECT id FROM MTRPhoto.crop_hashtag_ids WHERE photo_id=937852786 AND `type`=520 DELETE FROM MTRPhoto.crop_hashtag_ids WHERE id IN (3750292238,3750292239,3750292240,3750292241) # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : step 316 crop is not linked in the step_by_step architecture ! Step 318 rotate have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 318 rotate have less outputs used (0) than in the step definition (3) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! Unexpected type seems boolean for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : DATA AUGMENTATION ELLIPSE VARROA TILE ROTATE Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=243 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=243 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 243 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=243 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : step 316 crop is not linked in the step_by_step architecture ! Step 318 rotate have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 318 rotate have less outputs used (0) than in the step definition (3) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! no param json to modify List Step Type Loaded in datou : crop, tile, rotate list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (937852786) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 937852786 download finish for photo 937852786 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.10354423522949219 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 3 step1:crop Thu Apr 17 03:40:15 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854015_1331777_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg': 937852786} map_photo_id_path_extension : {937852786: {'path': 'temp/1744854015_1331777_937852786_7d9a231a08a1c63d0868e56a5361bf67.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou_step Crop ! param_json : {'hashtag_id_ellipse': 2087736828, 'photo_hashtag_type_from_ellipse': 520, 'token': '78d09a0790ec6ecbf119343125a81fdc', 'portfolio_name': 'crop_detect_varroa', 'photo_hashtag_type': 407, 'feed_id_new_photos_not_used': 549103, 'host': 'www.fotonower.com', 'margin': 8, 'upload_type': 'python'} margin_type : margin margin_value : [8, 8, 8, 8] Loading chi in step crop with photo_hashtag_type : 407 Loading chi in step crop for list_pids : 1 ! batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 937852786) and `type` in (407) Loaded 4 chid ids of type : 407 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (8165075,8165076,8165077,8165078) +WARNING : Unexpected points, we should remove this data for chi_id : 8165075, for now we just ignore these empty polygon points +WARNING : Unexpected points, we should remove this data for chi_id : 8165076, for now we just ignore these empty polygon points +WARNING : Unexpected points, we should remove this data for chi_id : 8165077, for now we just ignore these empty polygon points +WARNING : Unexpected points, we should remove this data for chi_id : 8165078, for now we just ignore these empty polygon points SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (8165075,8165076,8165077,8165078) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (8165075,8165076,8165077,8165078) select photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type, id from MTRPhoto.photo_sub_photos where photo_id in ( 937852786) WARNING : margin is only used for type bib ! type of cropped photo chosen : we resize croppped photo by 1 on x axis and by 1 on y axis new_file_path_bib_crop : temp/1744854015_1331777_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0.jpg new_file_path_bib_crop : temp/1744854015_1331777_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0.jpg new_file_path_bib_crop : temp/1744854015_1331777_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0.jpg new_file_path_bib_crop : temp/1744854015_1331777_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0.jpg map_result returned by crop_photo_return_map_crop : length : 4 map_result after crop : {8165075: {'crop': 'temp/1744854015_1331777_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165075_0.jpg', 'photo_id': 937852786, 'sub_photo_id': -1, 'coordonates': (426, 467, 312, 347), 'sub_photo_infos': (418, 475, 304, 355, 1, 1), 'same_chi': False}, 8165076: {'crop': 'temp/1744854015_1331777_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165076_0.jpg', 'photo_id': 937852786, 'sub_photo_id': -1, 'coordonates': (411, 445, 443, 480), 'sub_photo_infos': (403, 453, 435, 480, 1, 1), 'same_chi': False}, 8165077: {'crop': 'temp/1744854015_1331777_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165077_0.jpg', 'photo_id': 937852786, 'sub_photo_id': -1, 'coordonates': (103, 138, 358, 396), 'sub_photo_infos': (95, 146, 350, 404, 1, 1), 'same_chi': False}, 8165078: {'crop': 'temp/1744854015_1331777_937852786_7d9a231a08a1c63d0868e56a5361bf67_bib_crop_8165078_0.jpg', 'photo_id': 937852786, 'sub_photo_id': -1, 'coordonates': (104, 131, 256, 292), 'sub_photo_infos': (96, 139, 248, 300, 1, 1), 'same_chi': False}} Here we crop with rles About to insert : list_path_to_insert length 4 new photo from crops ! About to upload 4 photos https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=crop_detect_varroa&access_token=78d09a0790ec6ecbf119343125a81fdc upload in portfolio : 22117231 init cache_photo without model_param ERROR in datou_step_exec, will save and exit ! Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2329, in datou_exec output = datou_step_exec(sNext, args, cache, context, map_info, verbose, mtr_user_id) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2446, in datou_step_exec return pre_process.datou_step_crop(param, json_param, args, cache, context, map_info, verbose) File "/home/admin/workarea/git/Velours/python/mtr/datou/lib_step_exec/lib_step_pre_processing.py", line 1184, in datou_step_crop map_result_insert, new_feed_id = upload_batch(list_path_to_insert, fc, File "/home/admin/workarea/git/Velours/python/mtr/utils/upload_batch.py", line 61, in upload_batch storage_photo = Cache_Photo_Data_s3(storage_server=storage_server) File "/home/admin/workarea/git/Velours/python/mtr/database_queries/CachePhotoData_queries.py", line 67, in __init__ server.connect() File "/home/admin/workarea/git/Velours/python/mtr/utils/cdn/swift_upload_manager.py", line 41, in connect resp_headers, containers = self._conn.get_account() File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 1804, in get_account return self._retry(None, get_account, marker=marker, limit=limit, File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 1738, in _retry self.url, self.token = self.get_auth() File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 1682, in get_auth self.url, self.token = get_auth(self.authurl, self.user, self.key, File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 729, in get_auth storage_url, token = get_auth_keystone(auth_url, user, File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 646, in get_auth_keystone raise ClientException('Authorization Failure. %s' % err) [937852786] map_info['map_portfolio_photo'] : {} final : True mtd_id 243 list_pids : [937852786] 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 : [('243', None, '937852786', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None)] time used for this insertion : 0.016489267349243164 save_final ERROR in last step crop, Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429) time spend for datou_step_exec : 1.981912612915039 time spend to save output : 0.02008223533630371 total time spend for step 0 : 2.0019948482513428 need to delete datou_research and reload, so keep current state 1 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : True ouput is None saving photo_ids in datou_result photo id not in port begin to insert list_values into mtr_datou_result : length of list_values in save_final : 0 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [] time used for this insertion : 3.337860107421875e-06 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 3 output : None ERROR data_augmentation_ellipse_varroa_tile_rotate FAILED ############################### TEST flip ################################ t Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=571 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=571 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 571 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=571 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : flip list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (911785586) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 911785586 download finish for photo 911785586 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.12575197219848633 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 1 step1:flip Thu Apr 17 03:40:19 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854019_1331777_911785586_d8582feabcd359151ff718b5832248c7-big.jpg': 911785586} map_photo_id_path_extension : {911785586: {'path': 'temp/1744854019_1331777_911785586_d8582feabcd359151ff718b5832248c7-big.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou_step_flip ! We are in a linear step without datou_depend ! batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 911785586) and `type` in (741) Loaded 6 chid ids of type : 741 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (18344206,18344211,18344210,18344209,18344208,18344207) +++++WARNING : Unexpected points, we should remove this data for chi_id : 18344210, for now we just ignore these empty polygon points +SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (18344206,18344211,18344210,18344209,18344208,18344207) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (18344206,18344211,18344210,18344209,18344208,18344207) map_chi_objs : {911785586: [, , , , , ]} photo_id in download_rotate_and_save : 911785586 list_chi_loc : 6 Vertical flip of photo 911785586 version de PIL : 9.5.0 vertically flipped image is saved in temp/1744854019_1331777_911785586_d8582feabcd359151ff718b5832248c7-big_flip_vert.jpg Horizontal flip of photo 911785586 version de PIL : 9.5.0 horizontally flipped image is saved in temp/1744854019_1331777_911785586_d8582feabcd359151ff718b5832248c7-big_flip_hori.jpg About to upload 2 photos upload in portfolio : 1090565 init cache_photo without model_param ERROR in datou_step_exec, will save and exit ! Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2329, in datou_exec output = datou_step_exec(sNext, args, cache, context, map_info, verbose, mtr_user_id) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2459, in datou_step_exec return datou_step_flip(param, json_param, args, context, map_info, verbose) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib_step_data_increase.py", line 204, in datou_step_flip map_subpids_data = upload_flip_and_save(map_pid_filename, 0, 0, photo_hashtag_type File "/home/admin/workarea/git/Velours/python/mtr/simple_image_editor/flip_images.py", line 301, in upload_flip_and_save map_filename_photo_id, feed_id_new_photos = upload_batch(list_path_to_upload, fc, File "/home/admin/workarea/git/Velours/python/mtr/utils/upload_batch.py", line 61, in upload_batch storage_photo = Cache_Photo_Data_s3(storage_server=storage_server) File "/home/admin/workarea/git/Velours/python/mtr/database_queries/CachePhotoData_queries.py", line 67, in __init__ server.connect() File "/home/admin/workarea/git/Velours/python/mtr/utils/cdn/swift_upload_manager.py", line 41, in connect resp_headers, containers = self._conn.get_account() File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 1804, in get_account return self._retry(None, get_account, marker=marker, limit=limit, File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 1738, in _retry self.url, self.token = self.get_auth() File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 1682, in get_auth self.url, self.token = get_auth(self.authurl, self.user, self.key, File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 729, in get_auth storage_url, token = get_auth_keystone(auth_url, user, File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 646, in get_auth_keystone raise ClientException('Authorization Failure. %s' % err) [911785586] map_info['map_portfolio_photo'] : {} final : True mtd_id 571 list_pids : [911785586] begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('571', None, '911785586', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None)] time used for this insertion : 0.02734375 save_final ERROR in last step flip, Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429) time spend for datou_step_exec : 0.1297445297241211 time spend to save output : 0.029211997985839844 total time spend for step 0 : 0.15895652770996094 need to delete datou_research and reload, so keep current state 1 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : True ouput is None saving photo_ids in datou_result photo id not in port begin to insert list_values into mtr_datou_result : length of list_values in save_final : 0 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [] time used for this insertion : 3.814697265625e-06 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : None ERROR, got 0 upload, expected 2 ERROR flip FAILED ############################### TEST crop_rles ################################ # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! Unexpected type seems boolean for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : TEST CROP RLES Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=686 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=686 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 686 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=686 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : crop list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (950103132) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 950103132 download finish for photo 950103132 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.16717290878295898 #### 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 Thu Apr 17 03:40:20 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00.jpg': 950103132} map_photo_id_path_extension : {950103132: {'path': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou_step Crop ! param_json : {'photo_hashtag_type': 755, 'token': '78d09a0790ec6ecbf119343125a81fdc', 'feed_id_new_photos': 0, 'host': 'www.fotonower.com', 'crop_type': 'rle', 'margin_relative': 0.1, 'min_score': 0.3, 'upload,type': 'python'} margin_type : margin_relative margin_value : [0.1, 0.1, 0.1, 0.1] Loading chi in step crop with photo_hashtag_type : 755 Loading chi in step crop for list_pids : 1 ! batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 950103132) and `type` in (755) and score>0.3 Loaded 8 chid ids of type : 755 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947670931,1947670932,1947670933,1947670934,1947670935,1947670936,1947670937,1947670938) ++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947670931,1947670932,1947670933,1947670934,1947670935,1947670936,1947670937,1947670938) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947670931,1947670932,1947670933,1947670934,1947670935,1947670936,1947670937,1947670938) select photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type, id from MTRPhoto.photo_sub_photos where photo_id in ( 950103132) WARNING : margin is only used for type bib ! type of cropped photo chosen : rle we resize croppped photo by 1 on x axis and by 1 on y axis we have both polygon and rles Here we manage rles ! we have both polygon and rles Here we manage rles ! we have both polygon and rles Here we manage rles ! we have both polygon and rles Here we manage rles ! we have both polygon and rles Here we manage rles ! we have both polygon and rles Here we manage rles ! we have both polygon and rles Here we manage rles ! we have both polygon and rles Here we manage rles ! map_result returned by crop_photo_return_map_crop : length : 8 map_result after crop : {1947670931: {'crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670931_0.jpg', 'coordonates': (183, 199, 15, 41), 'sub_photo_id': -1, 'same_chi': False}, 1947670932: {'crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670932_0.jpg', 'coordonates': (38, 85, 113, 140), 'sub_photo_id': -1, 'same_chi': False}, 1947670933: {'crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670933_0.jpg', 'coordonates': (168, 194, 141, 151), 'sub_photo_id': -1, 'same_chi': False}, 1947670934: {'crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670934_0.jpg', 'coordonates': (47, 101, 16, 110), 'sub_photo_id': -1, 'same_chi': False}, 1947670935: {'crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670935_0.jpg', 'coordonates': (175, 199, 104, 111), 'sub_photo_id': -1, 'same_chi': False}, 1947670936: {'crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670936_0.jpg', 'coordonates': (86, 130, 184, 196), 'sub_photo_id': -1, 'same_chi': False}, 1947670937: {'crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670937_0.jpg', 'coordonates': (79, 195, 0, 61), 'sub_photo_id': -1, 'same_chi': False}, 1947670938: {'crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg', 'photo_id': 950103132, 'bib_crop': 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_bib_crop_1947670938_0.jpg', 'coordonates': (131, 155, 181, 195), 'sub_photo_id': -1, 'same_chi': False}} Here we crop with rles About to insert : list_path_to_insert length 8 new photo from crops ! About to upload 8 photos https://marlene.fotonower.com/api/v1/secured/portfolio/new?access_token=78d09a0790ec6ecbf119343125a81fdc upload in portfolio : 22117232 in upload media Upload medias : ['temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=78d09a0790ec6ecbf119343125a81fdc&datou=0 temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg after data_to_send, before sending request after request b'{"photo_ids":["1350609082","1350609079","1350609070","1350609081","1350609078","1350609077","1350609080","1350609074"],"photo_ids_order":["1350609070","1350609074","1350609077","1350609078","1350609079","1350609080","1350609081","1350609082"],"photo_detail":[{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/17/6038e9fb2c3136b54e1da2775f31d21f.jpg","text":"TemporaryFile(/tmp/multipartBody9107616908165462267asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1744854021594,"filename":"1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg","height":0,"width":0},{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/17/78d70d071ab1e8f69f9c038b4da39c26.jpg","text":"TemporaryFile(/tmp/multipartBody4626019518089874837asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1744854021594,"filename":"1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg","height":0,"width":0},{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/17/bf71a67c33b51afe47915ec08bd50a64.jpg","text":"TemporaryFile(/tmp/multipartBody7644546811316103580asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1744854021594,"filename":"1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg","height":0,"width":0},{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/17/71ad41838bc5e11dc9c668e4643637a8.jpg","text":"TemporaryFile(/tmp/multipartBody3685970706638610540asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1744854021594,"filename":"1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg","height":0,"width":0},{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/17/942a527b1db7107545345a6a5b1490c2.jpg","text":"TemporaryFile(/tmp/multipartBody4801851936394176885asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1744854021594,"filename":"1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg","height":0,"width":0},{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/17/272e652a5684400b0fe5b38b374fca4d.jpg","text":"TemporaryFile(/tmp/multipartBody6754482605164190880asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1744854021594,"filename":"1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg","height":0,"width":0},{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/17/7574a97d8325ad77fc9103c3b8516e14.jpg","text":"TemporaryFile(/tmp/multipartBody6398835704014479802asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1744854021594,"filename":"1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg","height":0,"width":0},{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/17/840a3aa57d5663d72fdee7ff675930c2.jpg","text":"TemporaryFile(/tmp/multipartBody5409915537563127720asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1744854021594,"filename":"1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg","height":0,"width":0}],"map_files_photo_id":{"file2":"1350609077","file6":"1350609081","file1":"1350609074","file7":"1350609082","file0":"1350609070","file4":"1350609079","file5":"1350609080","file3":"1350609078"},"map_files_photo_id_array":[{"photo_id":"1350609080","filename":"file5"},{"photo_id":"1350609077","filename":"file2"},{"photo_id":"1350609079","filename":"file4"},{"photo_id":"1350609082","filename":"file7"},{"photo_id":"1350609074","filename":"file1"},{"photo_id":"1350609070","filename":"file0"},{"photo_id":"1350609078","filename":"file3"},{"photo_id":"1350609081","filename":"file6"}],"portfolio_id":22117232,"hashtag_by_photo_ids":[{"1350609082":["hashtag1","hashtag2"]},{"1350609079":["hashtag1","hashtag2"]},{"1350609070":["hashtag1","hashtag2"]},{"1350609081":["hashtag1","hashtag2"]},{"1350609078":["hashtag1","hashtag2"]},{"1350609077":["hashtag1","hashtag2"]},{"1350609080":["hashtag1","hashtag2"]},{"1350609074":["hashtag1","hashtag2"]}],"comms":"Portfolio 22117232 used, photo_id : ArrayBuffer(1350609082, 1350609079, 1350609070, 1350609081, 1350609078, 1350609077, 1350609080, 1350609074)","result":[],"list_datou_current":[]}' Result OK ! uploaded one batch 0 Elapsed time : 20.000595331192017 map_result_insert : {'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg': 1350609077, 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg': 1350609081, 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg': 1350609074, 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg': 1350609082, 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg': 1350609070, 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg': 1350609079, 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg': 1350609080, 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg': 1350609078} Now we prepare data that will be used for ellipse search ! chi_id found to be used 1947670931 path of cropped varroa found to be used to match on an ellipse temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg sub_photo_id found to be used 1350609070 chi_id found to be used 1947670932 path of cropped varroa found to be used to match on an ellipse temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg sub_photo_id found to be used 1350609074 chi_id found to be used 1947670933 path of cropped varroa found to be used to match on an ellipse temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg sub_photo_id found to be used 1350609077 chi_id found to be used 1947670934 path of cropped varroa found to be used to match on an ellipse temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg sub_photo_id found to be used 1350609078 chi_id found to be used 1947670935 path of cropped varroa found to be used to match on an ellipse temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg sub_photo_id found to be used 1350609079 chi_id found to be used 1947670936 path of cropped varroa found to be used to match on an ellipse temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg sub_photo_id found to be used 1350609080 chi_id found to be used 1947670937 path of cropped varroa found to be used to match on an ellipse temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg sub_photo_id found to be used 1350609081 chi_id found to be used 1947670938 path of cropped varroa found to be used to match on an ellipse temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg sub_photo_id found to be used 1350609082 insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : [(1947670931, '1350609070', 31), (1947670932, '1350609074', 31), (1947670933, '1350609077', 31), (1947670934, '1350609078', 31), (1947670935, '1350609079', 31), (1947670936, '1350609080', 31), (1947670937, '1350609081', 31), (1947670938, '1350609082', 31)] map of cropped photos with some data : {'1350609070': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg', (183, 199, 15, 41)], '1350609074': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg', (38, 85, 113, 140)], '1350609077': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg', (168, 194, 141, 151)], '1350609078': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg', (47, 101, 16, 110)], '1350609079': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg', (175, 199, 104, 111)], '1350609080': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg', (86, 130, 184, 196)], '1350609081': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg', (79, 195, 0, 61)], '1350609082': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg', (131, 155, 181, 195)]} After datou_step_exec type output : time spend for datou_step_exec : 20.058974266052246 time spend to save output : 2.9087066650390625e-05 total time spend for step 1 : 20.059003353118896 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : True saveOutput not yet implemented for datou_step.type : crop we use saveGeneral [950103132] map_info['map_portfolio_photo'] : {} final : True mtd_id 686 list_pids : [950103132] Looping around the photos to save general results len do output : 8 /1350609070Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350609074Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350609077Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350609078Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350609079Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350609080Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350609081Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350609082Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('686', None, None, None, None, None, None, None, None) ('686', None, '950103132', None, None, None, None, None, None) begin to insert list_values into mtr_datou_result : length of list_values in save_final : 25 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('686', None, '1350609070', 'None', None, None, None, None, None), ('686', None, '1350609074', 'None', None, None, None, None, None), ('686', None, '1350609077', 'None', None, None, None, None, None), ('686', None, '1350609078', 'None', None, None, None, None, None), ('686', None, '1350609079', 'None', None, None, None, None, None), ('686', None, '1350609080', 'None', None, None, None, None, None), ('686', None, '1350609081', 'None', None, None, None, None, None), ('686', None, '1350609082', 'None', None, None, None, None, None), ('686', None, '950103132', None, None, None, None, None, None)] time used for this insertion : 0.013623714447021484 save_final save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {'1350609070': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg', (183, 199, 15, 41)], '1350609074': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg', (38, 85, 113, 140)], '1350609077': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg', (168, 194, 141, 151)], '1350609078': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg', (47, 101, 16, 110)], '1350609079': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg', (175, 199, 104, 111)], '1350609080': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg', (86, 130, 184, 196)], '1350609081': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg', (79, 195, 0, 61)], '1350609082': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg', (131, 155, 181, 195)]} ret_da : {'1350609070': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670931_0.jpg', (183, 199, 15, 41)], '1350609074': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg', (38, 85, 113, 140)], '1350609077': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670933_0.jpg', (168, 194, 141, 151)], '1350609078': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670934_0.jpg', (47, 101, 16, 110)], '1350609079': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670935_0.jpg', (175, 199, 104, 111)], '1350609080': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670936_0.jpg', (86, 130, 184, 196)], '1350609081': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670937_0.jpg', (79, 195, 0, 61)], '1350609082': ['950103132', 'temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670938_0.jpg', (131, 155, 181, 195)]} 8 Found filename_to_hash : temp/1744854019_1331777_950103132_4f47bd527301396b0a701a1b4183ba00_rle_crop_1947670932_0.jpg ############################### TEST angular_coeff ################################ t Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=852 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=852 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 852 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=852 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : angular_coeff list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (932296368) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 932296368 download finish for photo 932296368 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.1269834041595459 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 1 step1:angular_coeff Thu Apr 17 03:40:40 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854040_1331777_932296368_97c5e7b0f2830e550e2d6eeb248d8006.jpg': 932296368} map_photo_id_path_extension : {932296368: {'path': 'temp/1744854040_1331777_932296368_97c5e7b0f2830e550e2d6eeb248d8006.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} beginning of step detection filter param_json : {'input_type': 846, 'output_type': -1, 'orientation_type': 872, 'ref_crop_type': 846, 'condition_crop': 'car', 'criteria_crop': 'center_rect', 'crops_coeffs': {'CAR_EXTERIEUR_angle_avant_droit.*': {'aile-avant': [[15, 0.0], [240, 0.0], [285, 1.0], [345, 1.0]], 'capot': [[45, 1.0], [60, 0.5], [270, 0.0], [315, 1.0], [360, 1.0]]}}} angular_coefficients_to_crops batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 932296368) and `type` in (846) Loaded 19 chid ids of type : 846 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (769189713,769189714,769189715,769189716,769189717,769189718,769189721,769189723,769189724,769189725,769189727,769189729,769189730,769189732,769189733,769189734,769189737,769189738,769189739) SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (769189713,769189714,769189715,769189716,769189717,769189718,769189721,769189723,769189724,769189725,769189727,769189729,769189730,769189732,769189733,769189734,769189737,769189738,769189739) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (769189713,769189714,769189715,769189716,769189717,769189718,769189721,769189723,769189724,769189725,769189727,769189729,769189730,769189732,769189733,769189734,769189737,769189738,769189739) select distinct hashtag_id from MTRBack.photo_hashtag_ids where photo_id in (932296368) and type=872 treating photo 932296368 select distinct hashtag_id from MTRBack.photo_hashtag_ids where photo_id in (932296368) and type=872 After datou_step_exec type output : time spend for datou_step_exec : 0.06998062133789062 time spend to save output : 4.553794860839844e-05 total time spend for step 1 : 0.07002615928649902 caffe_path_current : About to save ! 0 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {932296368: ([(932296368, 2106233860, 846, 1066, 1277, 93, 340, 0.31964028378983567, 0, []), (932296368, 2106233860, 846, 434, 690, 218, 498, 0.7170410105787726, 0, []), (932296368, 503548896, 846, 902, 1111, 466, 576, 0.31724966, 769189715, []), (932296368, 599722655, 846, 523, 1100, 152, 337, 0.98039776, 0, []), (932296368, 492601069, 846, 143, 1190, 90, 695, 0.9696157, 769189717, []), (932296368, 492601069, 846, 0, 408, 246, 719, 0.9431181, 769189718, []), (932296368, 2096875722, 846, 567, 964, 162, 215, 0.55490255, 769189721, []), (932296368, 2096875709, 846, 437, 939, 24, 198, 0.9983077, 769189723, []), (932296368, 2096875709, 846, 1004, 1263, 28, 144, 0.9485744, 769189724, []), (932296368, 624624117, 846, 595, 1122, 331, 640, 0.99100167, 769189725, []), (932296368, 492624020, 846, 585, 874, 308, 393, 0.78697366, 769189727, []), (932296368, 2096875719, 846, 943, 1100, 428, 547, 0.96733797, 769189729, []), (932296368, 492654799, 846, 253, 467, 35, 441, 0.99621326, 769189730, []), (932296368, 492689227, 846, 1118, 1264, 270, 438, 0.9901647, 769189732, []), (932296368, 492689227, 846, 486, 671, 378, 690, 0.98789483, 769189733, []), (932296368, 492689227, 846, 161, 255, 229, 409, 0.70801014, 769189734, []), (932296368, 492925064, 846, 261, 421, 27, 193, 0.92215157, 769189737, []), (932296368, 492925064, 846, 873, 1045, 46, 156, 0.7535122, 769189738, []), (932296368, 492925064, 846, 1090, 1279, 20, 107, 0.45259848, 769189739, [])],)} test angular coeff is a success ! ############################### TEST detection_filter_by_crop ################################ t Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=708 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=708 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 708 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=708 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : detection_filter_by_crop list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (946711423) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 946711423 download finish for photo 946711423 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.10595178604125977 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 1 step1:detection_filter_by_crop Thu Apr 17 03:40:40 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854040_1331777_946711423_b4bef6b5c6c4b6ffae23f8718c42183c.jpg': 946711423} map_photo_id_path_extension : {946711423: {'path': 'temp/1744854040_1331777_946711423_b4bef6b5c6c4b6ffae23f8718c42183c.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} beginning of step detection filter param_json : {'input_type': 631, 'output_type': -1, 'condition_type': 445, 'condition_crop': 'car', 'criteria_crop': 'center_rect', 'min_surface_ratio': 0.7} conditional_crop_copy batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 946711423) and `type` in (445) Loaded 3 chid ids of type : 445 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947734477,18345275,18345276) +++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947734477,18345275,18345276) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947734477,18345275,18345276) batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 946711423) and `type` in (631) Loaded 35 chid ids of type : 631 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552) +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552) batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 946711423) and `type` in (445) Loaded 3 chid ids of type : 445 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947734477,18345275,18345276) +++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947734477,18345275,18345276) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947734477,18345275,18345276) treating photo 946711423 SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552) crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 624624117, 'type': 631, 'x0': 226, 'x1': 569, 'y0': 252, 'y1': 425, 'score': 0.99812776, 'id': 1947740368, 'points': ['395,419,341,419,340,418,316,418,315,417,306,417, crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 162, 'x1': 245, 'y0': 233, 'y1': 396, 'score': 0.99702626, 'id': 1947740369, 'points': ['215,393,206,393,202,390,200,390,192,383,191,380, crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 96, 'x1': 172, 'y0': 39, 'y1': 261, 'score': 0.9928518, 'id': 1947740370, 'points': ['143,252,143,249,141,246,140,246,138,248,138,251,137 crop not duplicated : : {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 545, 'x1': 612, 'y0': 186, 'y1': 276, 'score': 0.9876676, 'id': 1947740371, 'points': ['584,267,583,266,578,266,574,262,574,259,573,258,5 surface aoutside conditional crop crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 2096875719, 'type': 631, 'x0': 468, 'x1': 555, 'y0': 292, 'y1': 365, 'score': 0.9830025, 'id': 1947740372, 'points': ['491,350,489,350,488,349,487,350,483,350,480,348, crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 599722655, 'type': 631, 'x0': 176, 'x1': 535, 'y0': 138, 'y1': 264, 'score': 0.9818268, 'id': 1947740373, 'points': ['453,253,413,253,412,252,387,252,386,250,386,248,3 crop not duplicated : : {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 53, 'x1': 87, 'y0': 127, 'y1': 212, 'score': 0.9786105, 'id': 1947740374, 'points': ['74,201,69,201,67,199,66,199,65,198,62,192,62,190,61 surface aoutside conditional crop crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 492844413, 'type': 631, 'x0': 89, 'x1': 163, 'y0': 93, 'y1': 144, 'score': 0.9772748, 'id': 1947740375, 'points': ['159,142,153,141,151,139,148,138,145,135,141,133,139 crop not duplicated : : {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 418, 'x1': 522, 'y0': 69, 'y1': 136, 'score': 0.97407305, 'id': 1947740376, 'points': ['510,121,507,121,505,119,501,120,500,119,500,113,4 surface aoutside conditional crop crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 2096875709, 'type': 631, 'x0': 185, 'x1': 431, 'y0': 39, 'y1': 136, 'score': 0.97171515, 'id': 1947740377, 'points': ['331,134,287,134,286,133,284,133,283,134,272,134, crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 2096875722, 'type': 631, 'x0': 198, 'x1': 395, 'y0': 118, 'y1': 142, 'score': 0.9699756, 'id': 1947740378, 'points': ['328,137,251,137,250,136,249,137,241,137,240,136, crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 499500794, 'type': 631, 'x0': 93, 'x1': 107, 'y0': 127, 'y1': 146, 'score': 0.9574813, 'id': 1947740379, 'points': ['101,143,98,143,95,139,95,131,97,129,100,129,101,13 crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 71, 'x1': 125, 'y0': 36, 'y1': 95, 'score': 0.95296955, 'id': 1947740380, 'points': ['104,92,96,92,93,90,91,90,86,86,83,85,83,84,81,82,80 crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 101, 'x1': 167, 'y0': 38, 'y1': 127, 'score': 0.9508439, 'id': 1947740381, 'points': ['154,117,152,115,152,112,150,110,148,106,148,104,14 crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 492624020, 'type': 631, 'x0': 249, 'x1': 400, 'y0': 219, 'y1': 316, 'score': 0.8792459, 'id': 1947740382, 'points': ['395,313,390,313,386,311,384,312,381,312,376,309,3 crop not duplicated : : {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 540, 'x1': 625, 'y0': 78, 'y1': 221, 'score': 0.87864035, 'id': 1947740383, 'points': ['567,127,566,127,565,126,564,109,562,106,560,106,5 surface aoutside conditional crop crop not duplicated : : {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 547, 'x1': 640, 'y0': 79, 'y1': 129, 'score': 0.8165246, 'id': 1947740384, 'points': ['630,96,627,96,627,94,628,92,629,92,631,94,631,95', surface aoutside conditional crop crop not duplicated : : {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 360, 'x1': 434, 'y0': 62, 'y1': 116, 'score': 0.74684095, 'id': 1947740385, 'points': ['415,103,413,103,411,101,408,101,405,99,403,99,401 surface aoutside conditional crop crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 503548896, 'type': 631, 'x0': 302, 'x1': 540, 'y0': 339, 'y1': 403, 'score': 0.7406652, 'id': 1947740386, 'points': ['442,401,372,401,372,397,370,395,369,392,366,390,3 crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 53, 'x1': 85, 'y0': 75, 'y1': 182, 'score': 0.73015845, 'id': 1947740387, 'points': ['70,147,68,145,65,139,65,137,62,132,61,128,57,126,5 crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 2096875717, 'type': 631, 'x0': 477, 'x1': 510, 'y0': 220, 'y1': 243, 'score': 0.69028217, 'id': 1947740388, 'points': ['501,241,493,241,489,239,488,237,487,237,480,232 crop not duplicated : : {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 61, 'x1': 115, 'y0': 42, 'y1': 188, 'score': 0.6900027, 'id': 1947740389, 'points': ['92,47,91,45,92,44,96,45,94,45', '73,141,73,136,72,1 surface aoutside conditional crop crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 2096875712, 'type': 631, 'x0': 309, 'x1': 326, 'y0': 382, 'y1': 404, 'score': 0.6633776, 'id': 1947740390, 'points': ['309,383,309,382,311,382', '325,385,324,383,319,3 crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 2096875719, 'type': 631, 'x0': 427, 'x1': 553, 'y0': 258, 'y1': 315, 'score': 0.6446218, 'id': 1947740391, 'points': ['531,284,526,284,525,283,525,281,523,279,522,280, crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 2106233861, 'type': 631, 'x0': 144, 'x1': 267, 'y0': 181, 'y1': 307, 'score': 0.63958377, 'id': 1947740392, 'points': ['212,251,209,251,208,250,203,251,201,250,201,249 crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 2096875712, 'type': 631, 'x0': 285, 'x1': 433, 'y0': 343, 'y1': 377, 'score': 0.61493844, 'id': 1947740393, 'points': ['431,376,286,376,285,375,285,368,286,367,286,362 crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 146, 'x1': 287, 'y0': 140, 'y1': 311, 'score': 0.54784286, 'id': 1947740394, 'points': ['234,254,227,254,221,251,219,248,215,253,212,253 crop not duplicated : : {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 496, 'x1': 624, 'y0': 141, 'y1': 245, 'score': 0.46262404, 'id': 1947740395, 'points': ['603,176,599,173,595,176,593,176,590,174,589,174 surface aoutside conditional crop crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 495920967, 'type': 631, 'x0': 202, 'x1': 524, 'y0': 112, 'y1': 333, 'score': 0.45109355, 'id': 1947740396, 'points': ['483,289,483,286,482,285,482,283,480,279,480,274, crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 2096875722, 'type': 631, 'x0': 433, 'x1': 558, 'y0': 248, 'y1': 286, 'score': 0.44133398, 'id': 1947740397, 'points': ['492,272,474,272,473,271,468,271,465,269,460,269 crop not duplicated : : {'photo_id': 946711423, 'hashtag_id': 2106233861, 'type': 631, 'x0': 535, 'x1': 630, 'y0': 138, 'y1': 231, 'score': 0.42747068, 'id': 1947740398, 'points': ['590,171,589,170,585,170,584,171,581,169,579,169 surface aoutside conditional crop crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 399, 'x1': 569, 'y0': 68, 'y1': 251, 'score': 0.41876298, 'id': 1947740399, 'points': [], 'sub_photo_id': 0, 'rles': [], 'hashtag': '', ' crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 492624020, 'type': 631, 'x0': 420, 'x1': 552, 'y0': 244, 'y1': 293, 'score': 0.35962066, 'id': 1947740400, 'points': ['474,289,453,289,452,288,439,288,437,286,431,286, crop duplicated : : {'photo_id': 946711423, 'hashtag_id': 503548896, 'type': 631, 'x0': 301, 'x1': 540, 'y0': 339, 'y1': 403, 'score': 0.740756, 'id': 3140491551, 'points': ['442,401,371,401,371,397,366,390,365,386,356,386,35 crop not duplicated : : {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 496, 'x1': 624, 'y0': 140, 'y1': 245, 'score': 0.4627206, 'id': 3140491552, 'points': ['595,176,593,176,589,173,586,176,583,176,580,174, surface aoutside conditional crop After datou_step_exec type output : time spend for datou_step_exec : 0.13028168678283691 time spend to save output : 3.457069396972656e-05 total time spend for step 1 : 0.13031625747680664 caffe_path_current : About to save ! 0 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {946711423: ([(946711423, 624624117, 631, 226, 569, 252, 425, 0.99812776, 1947740368, 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(946711423, 492689227, 631, 162, 245, 233, 396, 0.99702626, 1947740369, ['215,393,206,393,202,390,200,390,192,383,191,380,187,375,184,369,184,367,180,360,180,358,179,357,177,349,175,347,174,339,172,336,171,330,170,329,169,324,168,323,168,313,167,312,167,304,166,303,166,298,165,297,165,288,164,287,165,286,165,272,166,271,166,268,167,267,167,263,168,262,169,254,173,249,177,247,178,247,181,251,184,251,184,252,187,255,189,255,193,259,193,261,195,263,195,264,201,270,203,278,207,282,208,289,211,293,211,296,213,299,214,304,215,305,216,312,219,316,219,319,220,320,220,325,222,329,222,335,223,336,223,338,225,342,225,349,226,350,226,359,227,360,227,366,228,367,228,371,231,375,231,382,227,385,226,388,225,389,223,388,219,392,216,392']), (946711423, 492654799, 631, 96, 172, 39, 261, 0.9928518, 1947740370, ['143,252,143,249,141,246,140,246,138,248,138,251,137,250,137,248,135,246,134,246,132,248,127,244,124,244,122,241,122,236,121,235,121,232,118,229,117,225,116,224,116,212,113,209,115,207,116,201,111,194,110,184,106,178,107,154,108,152,112,148,113,144,112,143,112,138,110,136,108,136,107,135,103,128,103,124,102,123,102,121,103,120,103,118,106,115,106,106,107,105,110,104,113,101,117,93,117,71,114,65,116,61,116,59,117,58,117,55,118,54,119,49,122,45,122,44,124,42,150,42,151,43,153,43,153,47,152,48,152,50,154,52,155,56,156,57,156,85,155,86,155,95,154,96,154,98,155,99,155,105,156,106,155,107,155,116,157,120,159,121,159,123,156,127,156,134,157,135,157,138,156,139,156,141,154,145,152,147,150,151,149,159,148,160,148,164,149,165,149,174,148,175,148,197,149,198,149,215,150,216,150,241,149,242,149,245,148,247,146,245,144,247', '122,147,121,138,120,141,119,142,119,144,118,145,121,148']), (946711423, 2096875719, 631, 468, 555, 292, 365, 0.9830025, 1947740372, 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['453,253,413,253,412,252,387,252,386,250,386,248,383,246,379,245,376,243,361,243,361,240,362,239,359,238,358,237,356,237,355,236,352,236,351,235,333,235,332,234,329,234,329,233,331,231,331,229,329,228,328,224,330,222,330,221,324,218,308,219,307,218,302,218,298,216,288,217,287,218,285,218,283,220,283,221,287,224,295,225,295,225,294,226,289,226,288,227,283,227,282,228,273,228,272,229,271,228,259,228,258,227,254,227,253,226,247,225,247,225,251,221,248,218,243,216,247,213,248,213,249,212,248,211,246,211,245,210,241,210,240,209,237,209,236,208,231,207,230,206,228,202,224,201,223,200,221,200,220,199,214,198,213,195,211,193,208,193,203,189,203,184,201,181,201,176,198,171,199,170,199,158,203,154,205,153,205,151,206,149,209,149,210,148,225,148,226,147,283,147,284,148,287,148,288,147,305,147,306,148,312,148,313,147,354,147,355,146,428,146,429,147,433,147,434,148,437,148,438,149,451,149,457,156,459,162,462,165,464,166,471,166,472,165,477,165,480,167,480,171,486,175,488,175,489,176,502,176,503,178,503,180,509,185,509,189,512,193,512,199,513,200,513,203,514,204,514,210,513,211,514,217,512,221,513,222,513,225,510,229,510,235,507,237,504,238,502,243,490,243,489,244,485,244,484,245,480,245,479,246,463,246,462,247,460,247,458,249,457,252,454,252', '528,212,528,207,526,206,524,203,526,203,527,202,528,202', '299,215,302,212,299,211,298,210,291,210,290,211,281,212,286,215,290,215,291,216', '375,242,376,240,375,238,363,239,368,242,371,242,372,243']), (946711423, 492844413, 631, 89, 163, 93, 144, 0.9772748, 1947740375, ['159,142,153,141,151,139,148,138,145,135,141,133,139,133,138,132,131,132,130,131,125,131,124,130,121,130,120,129,116,129,115,128,112,128,108,126,106,126,100,123,98,121,94,113,94,104,97,101,103,98,105,98,106,97,110,97,111,96,116,96,117,95,132,95,133,96,139,97,141,99,144,100,149,105,150,107,154,108,155,113,157,115,158,115,160,118,160,120,161,121,161,133,160,134,160,140']), (946711423, 2096875709, 631, 185, 431, 39, 136, 0.97171515, 1947740377, 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['442,401,372,401,372,397,370,395,369,392,366,390,367,389,366,386,357,386,354,384,350,384,349,383,320,383,319,382,320,378,318,376,318,374,314,370,309,370,308,369,306,369,305,363,305,357,306,356,306,353,307,353,308,354,313,354,314,355,315,354,320,354,321,353,331,353,332,354,335,354,336,355,339,355,340,356,379,356,380,357,406,357,407,356,409,356,410,357,474,357,475,356,482,356,484,357,485,356,488,356,493,353,501,354,502,353,506,353,507,352,517,352,518,351,522,351,525,347,527,346,530,347,530,349,533,351,530,355,528,355,527,356,515,356,509,359,508,361,505,362,503,365,497,368,494,372,490,373,489,374,492,376,495,376,493,377,488,378,490,380,495,380,497,381,497,381,487,382,485,385,476,387,469,392,466,392,465,393,460,393,456,396,453,397,451,399,443,400', '519,353,518,352,517,353,518,354']), (946711423, 2106233860, 631, 53, 85, 75, 182, 0.73015845, 1947740387, 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['431,376,286,376,285,375,285,368,286,367,286,362,287,361,287,359,291,359,297,362,306,363,307,364,312,364,313,365,322,366,323,367,331,366,332,368,334,368,335,369,338,368,337,366,336,366,337,365,336,364,327,364,325,361,319,361,317,357,317,356,318,355,325,355,326,353,331,353,333,351,332,350,330,350,328,348,326,348,325,347,319,347,315,345,306,345,305,344,297,344,299,344,300,343,431,343,432,344,432,353,431,354,431,358,430,359,430,365,427,365,425,363,424,363,422,364,421,366,418,366,413,369,404,370,409,371,409,371,399,371,398,372,395,373,419,374,420,373,426,372,428,370,428,367,429,367,430,368,429,369,430,370,430,373,431,374', '381,373,378,372,377,371,356,371,356,371,359,370,347,369,345,367,343,367,342,368,343,369,341,370,354,371,354,371,352,372,353,373,359,373,360,374']), (946711423, 2106233860, 631, 146, 287, 140, 311, 0.54784286, 1947740394, ['234,254,227,254,221,251,219,248,215,253,212,253,210,252,206,247,203,247,198,243,197,243,194,239,189,238,186,236,182,236,181,235,167,235,164,233,164,228,159,227,158,226,158,219,159,218,159,213,162,207,162,205,169,192,169,186,170,185,172,185,177,179,175,175,173,173,177,171,181,171,182,170,184,170,187,167,187,164,188,163,188,161,199,161,202,164,205,165,207,167,209,167,212,165,215,165,216,168,218,170,219,170,221,168,221,164,220,163,220,161,222,161,223,160,230,160,231,159,242,159,244,158,247,161,248,161,247,162,246,168,248,172,248,174,253,176,254,180,253,182,249,182,247,185,249,188,253,188,254,189,254,194,249,194,247,196,247,198,249,200,252,200,253,199,255,202,255,205,254,206,254,208,250,207,249,206,246,209,246,210,249,214,252,212,254,212,254,214,255,215,255,217,254,218,254,221,252,221,249,219,247,221,247,225,249,228,250,228,252,226,253,224,253,224,253,229,252,229,251,228,249,228,247,230,247,233,246,234,246,237,245,238,245,240,243,244,243,247,239,251,237,251', '230,167,229,166,227,167,228,168']), (946711423, 495920967, 631, 202, 524, 112, 333, 0.45109355, 1947740396, 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'312,179,311,178,308,179,309,180', '268,269,264,269,259,266,259,262,261,258,261,250,265,245,269,250,270,257,274,260,278,265,275,267,269,268', '414,281,401,281,414,281']), (946711423, 2096875722, 631, 433, 558, 248, 286, 0.44133398, 1947740397, ['492,272,474,272,473,271,468,271,465,269,460,269,460,268,465,266,467,266,468,265,470,265,471,264,475,264,476,263,479,263,480,262,486,262,487,261,491,261,492,260,495,260,496,259,502,259,506,257,510,257,514,255,517,255,518,254,530,253,531,252,535,252,536,251,538,251,539,252,543,252,544,253,547,253,549,251,553,251,555,253,555,267,552,270,550,270,550,269,548,267,547,267,547,267,548,266,547,265,545,266,540,266,539,264,530,264,529,263,524,263,519,266,513,266,510,268,507,268,506,269,499,270,498,271,493,271', '438,279,435,279,435,273,436,272,448,271,449,272,448,274,443,274,440,277,440,278']), (946711423, 492654799, 631, 399, 569, 68, 251, 0.41876298, 1947740399, []), (946711423, 492624020, 631, 420, 552, 244, 293, 0.35962066, 1947740400, ['474,289,453,289,452,288,439,288,437,286,431,286,427,284,423,284,422,283,422,275,427,275,428,273,430,272,435,272,436,271,438,271,442,269,447,269,450,267,454,267,460,264,464,264,467,262,483,261,484,260,488,260,489,259,494,259,495,258,502,258,503,257,505,257,509,255,512,255,516,252,520,252,521,251,526,250,530,248,534,248,535,247,546,247,547,248,549,248,549,250,550,251,550,266,551,267,551,275,550,276,550,278,549,279,549,281,537,282,535,284,528,284,527,285,504,285,503,286,495,286,492,288,488,287,487,288,475,288']), (946711423, 503548896, 631, 301, 540, 339, 403, 0.740756, 3140491551, ['442,401,371,401,371,397,366,390,365,386,356,386,353,384,348,383,319,383,319,378,314,370,310,370,305,368,304,357,305,353,330,353,339,356,378,356,379,357,474,357,475,356,488,356,493,353,501,354,507,352,517,352,522,351,527,346,530,347,533,351,530,355,527,356,515,356,505,362,503,365,497,368,494,372,489,374,492,376,488,378,490,380,495,380,487,382,485,385,476,387,469,392,461,393,456,395,451,399,447,399', '519,353,518,352,517,353,518,354'])],)} test detection filter by crop is a success ! ############################### TEST detection_filter_by_classif ################################ t SELECT id FROM MTRPhoto.crop_hashtag_ids WHERE photo_id=946711423 AND `type`=816 DELETE FROM MTRPhoto.crop_hashtag_ids WHERE id IN (3750293036,3750293035,3750293034,3750293043,3750293042,3750293041,3750293040,3750293039,3750293048,3750293051,3750293037,3750293038,3750293047,3750293046,3750293052,3750293053,3750293054,3750293056,3750293044,3750293050,3750293049,3750293055,3750293045) Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=672 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=672 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 672 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=672 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : detection_filter_by_classif list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (946711423) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos ##### After load_data_input time to download the photos : 0.00423431396484375 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load Calling datou_exec Inside datou_exec : verbose : True number of steps : 1 step1:detection_filter_by_classif Thu Apr 17 03:40:40 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {} map_photo_id_path_extension : {} map_subphoto_mainphoto : {} beginning of step detection filter with classification results param_json : {'input_type': 631, 'output_type': 816, 'condition_type': 872, 'crops_ok': {'CAR_DOCUMENT.*': {}, 'CAR_INTERIEUR.*': {}, 'CAR_EXTERIEUR_angle_avant_droit.*': {'Retroviseur': 2, 'Roue': 2, 'Capot': 1, 'Pare-brise': 1, 'vitre': 10, 'phare': 2, 'Feu-antibrouillard': 2, 'poignee': 2, 'porte': 2, 'calandre': 1, 'logo-marque': 1, 'Plaque-immatriculation': 1, 'Essuie-glace': 1, 'pare-choc': 1, 'toit': 1, 'logo-roue': 1, 'aile-avant': 1}}, 'separation': {'CAR_EXTERIEUR_avant.*': {'pare-choc': ['pare-chocs-avant'], 'phare': ['phare-gauche', 'a-droite-de', 'phare-droit']}, 'CAR_EXTERIEUR_angle_avant_droit.*': {'pare-choc': ['pare-chocs-avant'], 'phare': ['phare-droite', 'a-gauche-de', 'phare-gauche'], 'porte': ['porte-avant', 'a-droite-de', 'porte-arriere']}}} conditional_crop_by_classif_copy select distinct hashtag_id from MTRBack.photo_hashtag_ids where photo_id in (946711423) and type=872 batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 946711423) and `type` in (631) Loaded 35 chid ids of type : 631 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552) +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1947740368,1947740369,1947740370,1947740371,1947740372,1947740373,1947740374,1947740375,1947740376,1947740377,1947740378,1947740379,1947740380,1947740381,1947740382,1947740383,1947740384,1947740385,1947740386,1947740387,1947740388,1947740389,1947740390,1947740391,1947740392,1947740393,1947740394,1947740395,1947740396,1947740397,1947740398,1947740399,1947740400,3140491551,3140491552) treating photo 946711423 select distinct hashtag_id from MTRBack.photo_hashtag_ids where photo_id in (946711423) and type=872 list of crops kept {'retroviseur': 2, 'roue': 2, 'capot': 1, 'pare-brise': 1, 'vitre': 10, 'phare': 2, 'feu-antibrouillard': 2, 'poignee': 2, 'porte': 2, 'calandre': 1, 'logo-marque': 1, 'plaque-immatriculation': 1, 'essuie-glace': 1, 'pare-choc': 1, 'toit': 1, 'logo-roue': 1, 'aile-avant': 1} for hahstag car_exterieur_angle_avant_droit_merge__port_551052 crop not duplicated for hashtag aile-arriere : : {'photo_id': 946711423, 'hashtag_id': 2106233861, 'type': 631, 'x0': 144, 'x1': 267, 'y0': 181, 'y1': 307, 'score': 0.63958377, 'id': 1947740392, 'points': ['212,251,209,251,208,250,203,251,201,250,201,249 crop not duplicated for hashtag coffre : : {'photo_id': 946711423, 'hashtag_id': 495920967, 'type': 631, 'x0': 202, 'x1': 524, 'y0': 112, 'y1': 333, 'score': 0.45109355, 'id': 1947740396, 'points': ['483,289,483,286,482,285,482,283,480,279,480,274, crop not duplicated for hashtag aile-arriere : : {'photo_id': 946711423, 'hashtag_id': 2106233861, 'type': 631, 'x0': 535, 'x1': 630, 'y0': 138, 'y1': 231, 'score': 0.42747068, 'id': 1947740398, 'points': ['590,171,589,170,585,170,584,171,581,169,579,169 crop duplicated for hashtag retroviseur : : {'photo_id': 946711423, 'hashtag_id': 492844413, 'type': 631, 'x0': 89, 'x1': 163, 'y0': 93, 'y1': 144, 'score': 0.9772748, 'id': 1947740375, 'points': ['159,142,153,141,151,139,148,138,145,135,141,133,139 crop duplicated for hashtag roue : : {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 162, 'x1': 245, 'y0': 233, 'y1': 396, 'score': 0.99702626, 'id': 1947740369, 'points': ['215,393,206,393,202,390,200,390,192,383,191,380, crop duplicated for hashtag roue : : {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 545, 'x1': 612, 'y0': 186, 'y1': 276, 'score': 0.9876676, 'id': 1947740371, 'points': ['584,267,583,266,578,266,574,262,574,259,573,258,5 crop not duplicated for hashtag roue : : {'photo_id': 946711423, 'hashtag_id': 492689227, 'type': 631, 'x0': 53, 'x1': 87, 'y0': 127, 'y1': 212, 'score': 0.9786105, 'id': 1947740374, 'points': ['74,201,69,201,67,199,66,199,65,198,62,192,62,190,61 crop duplicated for hashtag capot : : {'photo_id': 946711423, 'hashtag_id': 599722655, 'type': 631, 'x0': 176, 'x1': 535, 'y0': 138, 'y1': 264, 'score': 0.9818268, 'id': 1947740373, 'points': ['453,253,413,253,412,252,387,252,386,250,386,248,3 crop duplicated for hashtag pare-brise : : {'photo_id': 946711423, 'hashtag_id': 2096875709, 'type': 631, 'x0': 185, 'x1': 431, 'y0': 39, 'y1': 136, 'score': 0.97171515, 'id': 1947740377, 'points': ['331,134,287,134,286,133,284,133,283,134,272,134, crop duplicated for hashtag vitre : : {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 418, 'x1': 522, 'y0': 69, 'y1': 136, 'score': 0.97407305, 'id': 1947740376, 'points': ['510,121,507,121,505,119,501,120,500,119,500,113,4 crop duplicated for hashtag vitre : : {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 71, 'x1': 125, 'y0': 36, 'y1': 95, 'score': 0.95296955, 'id': 1947740380, 'points': ['104,92,96,92,93,90,91,90,86,86,83,85,83,84,81,82,80 crop duplicated for hashtag vitre : : {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 101, 'x1': 167, 'y0': 38, 'y1': 127, 'score': 0.9508439, 'id': 1947740381, 'points': ['154,117,152,115,152,112,150,110,148,106,148,104,14 crop duplicated for hashtag vitre : : {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 547, 'x1': 640, 'y0': 79, 'y1': 129, 'score': 0.8165246, 'id': 1947740384, 'points': ['630,96,627,96,627,94,628,92,629,92,631,94,631,95', crop duplicated for hashtag vitre : : {'photo_id': 946711423, 'hashtag_id': 492925064, 'type': 631, 'x0': 360, 'x1': 434, 'y0': 62, 'y1': 116, 'score': 0.74684095, 'id': 1947740385, 'points': ['415,103,413,103,411,101,408,101,405,99,403,99,401 crop duplicated for hashtag phare : : {'photo_id': 946711423, 'hashtag_id': 492624020, 'type': 631, 'x0': 249, 'x1': 400, 'y0': 219, 'y1': 316, 'score': 0.8792459, 'id': 1947740382, 'points': ['395,313,390,313,386,311,384,312,381,312,376,309,3 crop duplicated for hashtag phare : : {'photo_id': 946711423, 'hashtag_id': 492624020, 'type': 631, 'x0': 420, 'x1': 552, 'y0': 244, 'y1': 293, 'score': 0.35962066, 'id': 1947740400, 'points': ['474,289,453,289,452,288,439,288,437,286,431,286, crop duplicated for hashtag feu-antibrouillard : : {'photo_id': 946711423, 'hashtag_id': 2096875712, 'type': 631, 'x0': 309, 'x1': 326, 'y0': 382, 'y1': 404, 'score': 0.6633776, 'id': 1947740390, 'points': ['309,383,309,382,311,382', '325,385,324,383,319,3 crop duplicated for hashtag feu-antibrouillard : : {'photo_id': 946711423, 'hashtag_id': 2096875712, 'type': 631, 'x0': 285, 'x1': 433, 'y0': 343, 'y1': 377, 'score': 0.61493844, 'id': 1947740393, 'points': ['431,376,286,376,285,375,285,368,286,367,286,362 crop duplicated for hashtag poignee : : {'photo_id': 946711423, 'hashtag_id': 499500794, 'type': 631, 'x0': 93, 'x1': 107, 'y0': 127, 'y1': 146, 'score': 0.9574813, 'id': 1947740379, 'points': ['101,143,98,143,95,139,95,131,97,129,100,129,101,13 crop duplicated for hashtag porte : : {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 96, 'x1': 172, 'y0': 39, 'y1': 261, 'score': 0.9928518, 'id': 1947740370, 'points': ['143,252,143,249,141,246,140,246,138,248,138,251,137 crop duplicated for hashtag porte : : {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 540, 'x1': 625, 'y0': 78, 'y1': 221, 'score': 0.87864035, 'id': 1947740383, 'points': ['567,127,566,127,565,126,564,109,562,106,560,106,5 crop not duplicated for hashtag porte : : {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 61, 'x1': 115, 'y0': 42, 'y1': 188, 'score': 0.6900027, 'id': 1947740389, 'points': ['92,47,91,45,92,44,96,45,94,45', '73,141,73,136,72,1 crop not duplicated for hashtag porte : : {'photo_id': 946711423, 'hashtag_id': 492654799, 'type': 631, 'x0': 399, 'x1': 569, 'y0': 68, 'y1': 251, 'score': 0.41876298, 'id': 1947740399, 'points': [], 'sub_photo_id': 0, 'rles': [], 'hashtag': '', ' crop duplicated for hashtag calandre : : {'photo_id': 946711423, 'hashtag_id': 503548896, 'type': 631, 'x0': 301, 'x1': 540, 'y0': 339, 'y1': 403, 'score': 0.740756, 'id': 3140491551, 'points': ['442,401,371,401,371,397,366,390,365,386,356,386,35 crop not duplicated for hashtag calandre : : {'photo_id': 946711423, 'hashtag_id': 503548896, 'type': 631, 'x0': 302, 'x1': 540, 'y0': 339, 'y1': 403, 'score': 0.7406652, 'id': 1947740386, 'points': ['442,401,372,401,372,397,370,395,369,392,366,390,3 crop duplicated for hashtag logo-marque : : {'photo_id': 946711423, 'hashtag_id': 2096875717, 'type': 631, 'x0': 477, 'x1': 510, 'y0': 220, 'y1': 243, 'score': 0.69028217, 'id': 1947740388, 'points': ['501,241,493,241,489,239,488,237,487,237,480,232 crop duplicated for hashtag plaque-immatriculation : : {'photo_id': 946711423, 'hashtag_id': 2096875719, 'type': 631, 'x0': 468, 'x1': 555, 'y0': 292, 'y1': 365, 'score': 0.9830025, 'id': 1947740372, 'points': ['491,350,489,350,488,349,487,350,483,350,480,348, crop not duplicated for hashtag plaque-immatriculation : : {'photo_id': 946711423, 'hashtag_id': 2096875719, 'type': 631, 'x0': 427, 'x1': 553, 'y0': 258, 'y1': 315, 'score': 0.6446218, 'id': 1947740391, 'points': ['531,284,526,284,525,283,525,281,523,279,522,280, crop duplicated for hashtag essuie-glace : : {'photo_id': 946711423, 'hashtag_id': 2096875722, 'type': 631, 'x0': 198, 'x1': 395, 'y0': 118, 'y1': 142, 'score': 0.9699756, 'id': 1947740378, 'points': ['328,137,251,137,250,136,249,137,241,137,240,136, crop not duplicated for hashtag essuie-glace : : {'photo_id': 946711423, 'hashtag_id': 2096875722, 'type': 631, 'x0': 433, 'x1': 558, 'y0': 248, 'y1': 286, 'score': 0.44133398, 'id': 1947740397, 'points': ['492,272,474,272,473,271,468,271,465,269,460,269 crop duplicated for hashtag pare-choc : : {'photo_id': 946711423, 'hashtag_id': 624624117, 'type': 631, 'x0': 226, 'x1': 569, 'y0': 252, 'y1': 425, 'score': 0.99812776, 'id': 1947740368, 'points': ['395,419,341,419,340,418,316,418,315,417,306,417, crop duplicated for hashtag aile-avant : : {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 53, 'x1': 85, 'y0': 75, 'y1': 182, 'score': 0.73015845, 'id': 1947740387, 'points': ['70,147,68,145,65,139,65,137,62,132,61,128,57,126,5 crop not duplicated for hashtag aile-avant : : {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 146, 'x1': 287, 'y0': 140, 'y1': 311, 'score': 0.54784286, 'id': 1947740394, 'points': ['234,254,227,254,221,251,219,248,215,253,212,253 crop not duplicated for hashtag aile-avant : : {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 496, 'x1': 624, 'y0': 140, 'y1': 245, 'score': 0.4627206, 'id': 3140491552, 'points': ['595,176,593,176,589,173,586,176,583,176,580,174, crop not duplicated for hashtag aile-avant : : {'photo_id': 946711423, 'hashtag_id': 2106233860, 'type': 631, 'x0': 496, 'x1': 624, 'y0': 141, 'y1': 245, 'score': 0.46262404, 'id': 1947740395, 'points': ['603,176,599,173,595,176,593,176,590,174,589,174 list of crops kept {'pare-choc': ('pare-chocs-avant',), 'phare': ('phare-droite', 'a-gauche-de', 'phare-gauche'), 'porte': ('porte-avant', 'a-droite-de', 'porte-arriere')} for hahstag car_exterieur_angle_avant_droit_merge__port_551052 batch 1 Loaded 0 chid ids of type : 0 insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s) batch 1 Loaded 23 chid ids of type : 816 INSERT IGNORE INTO MTRPhoto.crop_polygon_points (`crop_hashtag_id`, `points`) VALUES (%s, %s) Number RLEs to save : 1600 INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) first line : ('3751142216', '117', '95', '16') ... last line : ('3751142238', '70', '147', '1') INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) TO DO : save crop sub photo not yet done ! After datou_step_exec type output : time spend for datou_step_exec : 0.30664873123168945 time spend to save output : 0.00010418891906738281 total time spend for step 1 : 0.30675292015075684 caffe_path_current : About to save ! 0 After save, about to update current ! test detection filter by classif is a success ! ############################### TEST blur_detection ################################ t Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1243 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=1243 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 1243 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=1243 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : blur_detection list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (930729675) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 930729675 download finish for photo 930729675 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.11080026626586914 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 1 step1:blur_detection Thu Apr 17 03:40:41 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854040_1331777_930729675_b2d2beaaee733d521cbb0c9800a29073.jpg': 930729675} map_photo_id_path_extension : {930729675: {'path': 'temp/1744854040_1331777_930729675_b2d2beaaee733d521cbb0c9800a29073.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} inside step blur_detection methode: ratio et variance treat image : temp/1744854040_1331777_930729675_b2d2beaaee733d521cbb0c9800a29073.jpg resize: (600, 800) 930729675 12.961859636534896 score_blur_detection : {930729675: [(930729675, 12.961859636534896, 492688767)]} After datou_step_exec type output : time spend for datou_step_exec : 0.19129419326782227 time spend to save output : 3.743171691894531e-05 total time spend for step 1 : 0.1913316249847412 caffe_path_current : About to save ! 0 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {930729675: [(930729675, 12.961859636534896, 492688767)]} {930729675: [(930729675, 12.961859636534896, 492688767)]} ############################### TEST detect_point_224x224 ################################ test_detect_point_224x224 Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1908 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=1908 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 1908 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=1908 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : step 4589 thcl is not linked in the step_by_step architecture ! WARNING : step 4590 argmax is not linked in the step_by_step architecture ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! no param json to modify List Step Type Loaded in datou : thcl, argmax list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (987515175,987515176,987515177,987515178,987515179,987515180,987515181,987515182,987515183,987515184,987515185,987515186,987515187,987515188,987515189,987515190,987515192,987515193,987515195,987515196,987515198,987515200,987515201,987515202,987515204,987515205,987515207,987515208,987515209,987515211,987515212,987515213,987515215,987515216,987515217,987515219,987515220,987515222,987515223,987515224,987515226,987515227,987515228,987515230,987515231,987515232,987515233,987515234,987515235,987515236,987515237,987515238,987515239,987515240,987515241,987515242,987515243,987515244,987515245,987515246,987515247,987515248,987515249,987515250) Found this number of photos: 64 ##### Call download_photos : nb_thread : 5 begin to download photo : 987515175 begin to download photo : 987515188 begin to download photo : 987515207 begin to download photo : 987515224 begin to download photo : 987515239 download finish for photo 987515175 begin to download photo : 987515176 download finish for photo 987515188 begin to download photo : 987515189 download finish for photo 987515224 begin to download photo : 987515226 download finish for photo 987515207 begin to download photo : 987515208 download finish for photo 987515189 begin to download photo : 987515190 download finish for photo 987515176 begin to download photo : 987515177 download finish for photo 987515226 begin to download photo : 987515227 download finish for photo 987515239 begin to download photo : 987515240 download finish for photo 987515190 begin to download photo : 987515192 download finish for photo 987515208 begin to download photo : 987515209 download finish for photo 987515240 begin to download photo : 987515241 download finish for photo 987515227 begin to download photo : 987515228 download finish for photo 987515192 begin to download photo : 987515193 download finish for photo 987515177 begin to download photo : 987515178 download finish for photo 987515209 begin to download photo : 987515211 download finish for photo 987515241 begin to download photo : 987515242 download finish for photo 987515193 begin to download photo : 987515195 download finish for photo 987515228 begin to download photo : 987515230 download finish for photo 987515178 begin to download photo : 987515179 download finish for photo 987515211 begin to download photo : 987515212 download finish for photo 987515230 begin to download photo : 987515231 download finish for photo 987515242 begin to download photo : 987515243 download finish for photo 987515195 begin to download photo : 987515196 download finish for photo 987515179 download finish for photo 987515212 begin to download photo : 987515180 begin to download photo : 987515213 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photo : 987515249 download finish for photo 987515205 download finish for photo 987515184 begin to download photo : 987515185 download finish for photo 987515222 begin to download photo : 987515223 download finish for photo 987515237 begin to download photo : 987515238 download finish for photo 987515249 begin to download photo : 987515250 download finish for photo 987515185 begin to download photo : 987515186 download finish for photo 987515223 download finish for photo 987515186 begin to download photo : 987515187 download finish for photo 987515250 download finish for photo 987515238 download finish for photo 987515187 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 : 1.5582935810089111 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 2 step1:thcl Thu Apr 17 03:40:42 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854041_1331777_987515188_4116f9906657a69bb76c2fda982037b9.jpg': 987515188, 'temp/1744854041_1331777_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg': 987515189, 'temp/1744854041_1331777_987515190_d56932bfc6ba2a8c974c691108755017.jpg': 987515190, 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'extension': 'jpg'}, 987515179: {'path': 'temp/1744854041_1331777_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg', 'extension': 'jpg'}, 987515180: {'path': 'temp/1744854041_1331777_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg', 'extension': 'jpg'}, 987515181: {'path': 'temp/1744854041_1331777_987515181_1738c2798fb31152809ecb443ac286d6.jpg', 'extension': 'jpg'}, 987515182: {'path': 'temp/1744854041_1331777_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg', 'extension': 'jpg'}, 987515183: {'path': 'temp/1744854041_1331777_987515183_6aab9ca0421398b4899892c10c2594c6.jpg', 'extension': 'jpg'}, 987515184: {'path': 'temp/1744854041_1331777_987515184_19c8c2177209a285df6014d95fe53f2c.jpg', 'extension': 'jpg'}, 987515185: {'path': 'temp/1744854041_1331777_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg', 'extension': 'jpg'}, 987515186: {'path': 'temp/1744854041_1331777_987515186_797def426440b544aa80dbd63a19234a.jpg', 'extension': 'jpg'}, 987515187: {'path': 'temp/1744854041_1331777_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou step Thcl ! multi_thcl or not :False multi_thcl_cond or not :False dic_thcl : {'1528': 1} we are using the classfication for only one thcl 1528 In convert_file_to_np l 337 : 7 l343 7 In convert_file_to_np l 337 : 7 l343 7 In convert_file_to_np l 337 : 7 l343 7 In convert_file_to_np l 337 : 7 l343 7 In convert_file_to_np l 337 : 1 l343 1 In convert_file_to_np l 337 : 7 l343 7 l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! In convert_file_to_np l 337 : 7 l343 7 l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! time to import caffe and check if the image exist : 0.0029473304748535156 time to convert the images to numpy array : 0.008760690689086914 In convert_file_to_np l 337 : 7 l343 7 In convert_file_to_np l 337 : 7 l343 7 l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! In convert_file_to_np l 337 : 7 l343 7 l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! time to import caffe and check if the image exist : 0.0047380924224853516 time to convert the images to numpy array : 0.04010200500488281 l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! time to import caffe and check if the image exist : 0.004567146301269531 time to convert the images to numpy array : 0.040780067443847656 l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! time to import caffe and check if the image exist : 0.013608217239379883 time to convert the images to numpy array : 0.03184318542480469 l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! time to import caffe and check if the image exist : 0.0037751197814941406 time to convert the images to numpy array : 0.045119285583496094 l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! time to import caffe and check if the image exist : 0.007422924041748047 time to convert the images to numpy array : 0.04227566719055176 l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! time to import caffe and check if the image exist : 0.005216121673583984 time to convert the images to numpy array : 0.04634356498718262 l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! time to import caffe and check if the image exist : 0.014512777328491211 time to convert the images to numpy array : 0.03480243682861328 l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! time to import caffe and check if the image exist : 0.014131307601928711 time to convert the images to numpy array : 0.034815311431884766 l357 after caffe.io.load_image dimension du image : (3, (224, 224, 3)) dimension displayed ! time to import caffe and check if the image exist : 0.018791675567626953 time to convert the images to numpy array : 0.031502723693847656 @ ß÷ß÷` YO÷à{–©S 0P‰ötotal time to convert the images to numpy array : 0.05409646034240723 list photo_ids error: [] list photo_ids correct : [987515187, 987515217, 987515219, 987515220, 987515222, 987515223, 987515239, 987515240, 987515241, 987515242, 987515243, 987515244, 987515245, 987515246, 987515247, 987515248, 987515249, 987515250, 987515224, 987515226, 987515227, 987515228, 987515198, 987515200, 987515201, 987515202, 987515204, 987515205, 987515207, 987515208, 987515209, 987515211, 987515212, 987515213, 987515215, 987515216, 987515188, 987515189, 987515190, 987515192, 987515193, 987515195, 987515196, 987515230, 987515231, 987515232, 987515233, 987515234, 987515235, 987515236, 987515180, 987515181, 987515182, 987515183, 987515184, 987515185, 987515186, 987515237, 987515238, 987515175, 987515176, 987515177, 987515178, 987515179] number of photos to traite : 64 try to delete the photos incorrect in DB tagging for thcl : 1528 To do loadFromThcl(), then load ParamDescType : thcl1528 get_desc_type_from_thcl : type of cat SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists, photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at, type_classification FROM MTRDatou.classification_theme WHERE `id` IN (1528) thcls : [{'id': 1528, 'mtr_user_id': 31, 'name': 'learn_refus_upm_blanches_1924', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Autre_Environement,Carton,Kraft,Lointain_Papier_Magazine,Metal,Papier_Magazine,Plastique,Sol_Environement,Teint_Dans_La_Masse,autre_refus', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 1927, 'photo_desc_type': 4421, 'type_classification': 'caffe', 'hashtag_id_list': '2107752388,492774966,493202403,2107752389,492628673,2107752386,492725882,2107752387,2107752385,2107752406'}] thcl {'id': 1528, 'mtr_user_id': 31, 'name': 'learn_refus_upm_blanches_1924', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Autre_Environement,Carton,Kraft,Lointain_Papier_Magazine,Metal,Papier_Magazine,Plastique,Sol_Environement,Teint_Dans_La_Masse,autre_refus', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 1927, 'photo_desc_type': 4421, 'type_classification': 'caffe', 'hashtag_id_list': '2107752388,492774966,493202403,2107752389,492628673,2107752386,492725882,2107752387,2107752385,2107752406'} Update svm_hashtag_type_desc : 4421 SELECT * FROM MTRDatou.photo_desc_type_params WHERE id in (4421) FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (4421, 'learn_refus_upm_blanches_1924', 16384, 25088, 'learn_refus_upm_blanches_1924', 'res5b', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2019, 10, 22, 17, 39, 25), datetime.datetime(2019, 10, 22, 17, 39, 25)) To loadFromThcl() : net_4421 begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 3785 max_wait_temp : 1 max_wait : 0 SELECT * FROM MTRDatou.photo_desc_type_params WHERE id in (4421) FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (4421, 'learn_refus_upm_blanches_1924', 16384, 25088, 'learn_refus_upm_blanches_1924', 'res5b', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2019, 10, 22, 17, 39, 25), datetime.datetime(2019, 10, 22, 17, 39, 25)) param : , param.caffemodel : learn_refus_upm_blanches_1924 None mean_file_type : mean_file_path : prototxt_file_path : model : learn_refus_upm_blanches_1924 Inside get_net Inside get_net before cache_data_model model_param file didn't exist Inside get_net before CDM.load_model_par_type model_name : learn_refus_upm_blanches_1924 model_type : caffe list file need : ['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file exist in s3 : ['caffemodel', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file manque in s3 : ['deploy_conv_normal.prototxt', 'deploy_fc.prototxt'] local folder : /data/models_weight/learn_refus_upm_blanches_1924 /data/models_weight/learn_refus_upm_blanches_1924/caffemodel size_local : 45774543 size in s3 : 45774543 create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04 caffemodel already exist and didn't need to update /data/models_weight/learn_refus_upm_blanches_1924/deploy.prototxt size_local : 17312 size in s3 : 17312 create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:03 deploy.prototxt already exist and didn't need to update /data/models_weight/learn_refus_upm_blanches_1924/mean.npy size_local : 1572992 size in s3 : 1572992 create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:05 mean.npy already exist and didn't need to update /data/models_weight/learn_refus_upm_blanches_1924/synset_words.txt size_local : 218 size in s3 : 218 create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04 synset_words.txt already exist and didn't need to update Inside get_net after CDM.load_model_par_type After if not only_with_local_cache: /home/admin/workarea/install/caffe_cuda8_python3/python/:/home/admin/workarea/install/darknet/:/home/admin/workarea/git/Velours/python:/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python:/home/admin/mtr/.credentials:/home/admin/workarea/install/caffe/python:/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools/:/home/admin/workarea/git/fotonowerpip/:/home/admin/workarea/install/segment-anything:/home/admin//workarea/git/pyfvs/ Here before set mode gpu Doing nothing but we could set mode gpu after set mode gpu prototxt_filename : /data/models_weight/learn_refus_upm_blanches_1924/deploy.prototxt caffemodel_filename : /data/models_weight/learn_refus_upm_blanches_1924/caffemodel now we set caffe to gpu mode before predict begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 3785 max_wait_temp : 1 max_wait : 0 dict_keys(['prob', 'res5b']) time used to do the prepocess of the images : 0.057718515396118164 time used to do the prediction : 0.8573799133300781 save descriptor for thcl : 1528 (64, 512, 7, 7) Got the blobs of the net to insert : [3, 1, 1, 1, 1, 1, 2, 1, 1, 2] code_as_byte_string:b'0301010101'| Got the blobs of the net to insert : [2, 1, 2, 2, 2, 0, 0, 1, 0, 3] code_as_byte_string:b'0201020202'| Got the blobs of the net to insert : [0, 0, 2, 3, 3, 1, 0, 0, 0, 0] code_as_byte_string:b'0000020303'| Got the blobs of the net to insert : [1, 0, 0, 1, 0, 0, 0, 3, 4, 5] code_as_byte_string:b'0100000100'| Got the blobs of the net to insert : [0, 1, 1, 4, 2, 1, 3, 7, 9, 9] code_as_byte_string:b'0001010402'| Got the blobs of the net to insert : [7, 10, 10, 2, 4, 7, 8, 5, 5, 2] code_as_byte_string:b'070a0a0204'| Got the blobs of the net to insert : [1, 1, 0, 0, 0, 0, 0, 3, 5, 1] code_as_byte_string:b'0101000000'| Got the blobs of the net to insert : [0, 3, 0, 1, 1, 6, 7, 5, 5, 3] code_as_byte_string:b'0003000101'| Got the blobs of the net to insert : [6, 6, 3, 3, 8, 8, 6, 6, 2, 0] code_as_byte_string:b'0606030308'| Got the blobs of the net to insert : [5, 5, 2, 4, 6, 5, 9, 9, 4, 2] code_as_byte_string:b'0505020406'| Got the blobs of the net to insert : [2, 1, 3, 5, 7, 5, 3, 4, 1, 3] code_as_byte_string:b'0201030507'| Got the blobs of the net to insert : [0, 0, 0, 1, 1, 3, 2, 1, 0, 2] code_as_byte_string:b'0000000101'| Got the blobs of the net to insert : [0, 0, 0, 0, 0, 0, 1, 3, 1, 0] code_as_byte_string:b'0000000000'| Got the blobs of the net to insert : [0, 0, 0, 1, 0, 0, 0, 0, 1, 3] code_as_byte_string:b'0000000100'| Got the blobs of the net to insert : [0, 0, 0, 1, 2, 0, 1, 4, 0, 2] code_as_byte_string:b'0000000102'| Got the blobs of the net to insert : [4, 1, 3, 4, 7, 3, 4, 2, 1, 0] code_as_byte_string:b'0401030407'| Got the blobs of the net to insert : [4, 1, 3, 4, 7, 3, 4, 2, 1, 0] code_as_byte_string:b'0401030407'| Got the blobs of the net to insert : [3, 3, 1, 4, 7, 7, 9, 6, 2, 1] code_as_byte_string:b'0303010407'| Got the blobs of the net to insert : [7, 7, 3, 8, 9, 6, 7, 10, 11, 6] code_as_byte_string:b'0707030809'| Got the blobs of the net to insert : [3, 3, 3, 1, 6, 7, 10, 5, 3, 5] code_as_byte_string:b'0303030106'| Got the blobs of the net to insert : [3, 2, 2, 1, 1, 2, 2, 3, 2, 5] code_as_byte_string:b'0302020101'| Got the blobs of the net to insert : [1, 0, 3, 1, 0, 0, 0, 0, 0, 5] code_as_byte_string:b'0100030100'| Got the blobs of the net to insert : [1, 1, 0, 0, 1, 2, 0, 0, 0, 1] code_as_byte_string:b'0101000001'| Got the blobs of the net to insert : [0, 1, 0, 1, 3, 4, 2, 1, 3, 5] code_as_byte_string:b'0001000103'| Got the blobs of the net to insert : [3, 3, 3, 8, 7, 5, 5, 4, 5, 3] code_as_byte_string:b'0303030807'| Got the blobs of the net to insert : [2, 5, 4, 6, 9, 9, 10, 9, 11, 5] code_as_byte_string:b'0205040609'| Got the blobs of the net to insert : [5, 2, 3, 7, 5, 7, 6, 2, 4, 3] code_as_byte_string:b'0502030705'| Got the blobs of the net to insert : [5, 7, 3, 2, 1, 2, 2, 2, 0, 0] code_as_byte_string:b'0507030201'| Got the blobs of the net to insert : [4, 2, 1, 2, 3, 1, 0, 1, 0, 1] code_as_byte_string:b'0402010203'| Got the blobs of the net to insert : [0, 0, 0, 1, 2, 2, 1, 1, 0, 0] code_as_byte_string:b'0000000102'| Got the blobs of the net to insert : [1, 0, 0, 1, 1, 1, 0, 1, 1, 3] code_as_byte_string:b'0100000101'| Got the blobs of the net to insert : [1, 1, 2, 3, 4, 4, 1, 2, 8, 7] code_as_byte_string:b'0101020304'| Got the blobs of the net to insert : [6, 8, 5, 7, 7, 8, 10, 12, 12, 6] code_as_byte_string:b'0608050707'| Got the blobs of the net to insert : [6, 8, 5, 7, 7, 8, 10, 12, 12, 6] code_as_byte_string:b'0608050707'| Got the blobs of the net to insert : [5, 5, 4, 3, 5, 6, 3, 4, 3, 3] code_as_byte_string:b'0505040305'| Got the blobs of the net to insert : [5, 3, 3, 1, 1, 1, 2, 2, 2, 4] code_as_byte_string:b'0503030101'| Got the blobs of the net to insert : [1, 1, 1, 2, 0, 3, 4, 3, 4, 5] code_as_byte_string:b'0101010200'| Got the blobs of the net to insert : [3, 2, 1, 4, 5, 7, 6, 5, 6, 5] code_as_byte_string:b'0302010405'| Got the blobs of the net to insert : [3, 4, 5, 5, 9, 9, 9, 9, 11, 7] code_as_byte_string:b'0304050509'| Got the blobs of the net to insert : [5, 2, 3, 6, 8, 12, 9, 9, 3, 5] code_as_byte_string:b'0502030608'| Got the blobs of the net to insert : [6, 3, 3, 0, 1, 2, 2, 5, 2, 4] code_as_byte_string:b'0603030001'| Got the blobs of the net to insert : [0, 0, 0, 0, 0, 2, 5, 1, 0, 0] code_as_byte_string:b'0000000000'| Got the blobs of the net to insert : [0, 0, 0, 0, 0, 2, 5, 1, 0, 0] code_as_byte_string:b'0000000000'| Got the blobs of the net to insert : [0, 0, 2, 2, 0, 0, 0, 0, 0, 3] code_as_byte_string:b'0000020200'| Got the blobs of the net to insert : [1, 1, 2, 1, 0, 0, 0, 3, 6, 7] code_as_byte_string:b'0101020100'| Got the blobs of the net to insert : [1, 3, 3, 3, 0, 1, 5, 6, 7, 4] code_as_byte_string:b'0103030300'| Got the blobs of the net to insert : [5, 7, 3, 2, 5, 9, 10, 3, 5, 0] code_as_byte_string:b'0507030205'| Got the blobs of the net to insert : [6, 8, 3, 6, 6, 6, 5, 10, 10, 3] code_as_byte_string:b'0608030606'| Got the blobs of the net to insert : [1, 2, 1, 5, 7, 10, 8, 2, 2, 1] code_as_byte_string:b'0102010507'| Got the blobs of the net to insert : [0, 0, 0, 1, 5, 4, 6, 3, 1, 3] code_as_byte_string:b'0000000105'| Got the blobs of the net to insert : [1, 0, 1, 2, 1, 0, 3, 3, 3, 8] code_as_byte_string:b'0100010201'| Got the blobs of the net to insert : [5, 5, 6, 4, 3, 6, 9, 7, 7, 7] code_as_byte_string:b'0505060403'| Got the blobs of the net to insert : [4, 6, 6, 4, 7, 8, 8, 8, 12, 8] code_as_byte_string:b'0406060407'| Got the blobs of the net to insert : [11, 8, 5, 9, 12, 14, 13, 14, 12, 6] code_as_byte_string:b'0b0805090c'| Got the blobs of the net to insert : [8, 7, 6, 4, 2, 1, 2, 4, 4, 4] code_as_byte_string:b'0807060402'| Got the blobs of the net to insert : [2, 3, 5, 5, 2, 2, 3, 0, 1, 4] code_as_byte_string:b'0203050502'| Got the blobs of the net to insert : [0, 0, 0, 1, 1, 1, 3, 3, 0, 0] code_as_byte_string:b'0000000101'| Got the blobs of the net to insert : [0, 2, 1, 0, 0, 0, 0, 0, 4, 2] code_as_byte_string:b'0002010000'| Got the blobs of the net to insert : [0, 2, 0, 1, 1, 0, 0, 0, 1, 3] code_as_byte_string:b'0002000101'| Got the blobs of the net to insert : [12, 9, 9, 8, 11, 13, 6, 14, 9, 18] code_as_byte_string:b'0c0909080b'| Got the blobs of the net to insert : [13, 9, 9, 8, 11, 13, 6, 14, 9, 18] code_as_byte_string:b'0d0909080b'| Got the blobs of the net to insert : [2, 2, 6, 7, 8, 6, 4, 3, 1, 8] code_as_byte_string:b'0202060708'| Got the blobs of the net to insert : [1, 2, 2, 1, 0, 1, 1, 2, 1, 1] code_as_byte_string:b'0102020100'| Got the blobs of the net to insert : [2, 2, 1, 3, 2, 3, 2, 0, 0, 1] code_as_byte_string:b'0202010302'| time to traite the descriptors : 3.3612964153289795 Testing : ['987515187', '987515217', '987515219', '987515220', '987515222', '987515223', '987515239', '987515240', '987515241', '987515242', '987515243', '987515244', '987515245', '987515246', '987515247', '987515248', '987515249', '987515250', '987515224', '987515226', '987515227', '987515228', '987515198', '987515200', '987515201', '987515202', '987515204', '987515205', '987515207', '987515208', '987515209', '987515211', '987515212', '987515213', '987515215', '987515216', '987515188', '987515189', '987515190', '987515192', '987515193', '987515195', '987515196', '987515230', '987515231', '987515232', '987515233', '987515234', '987515235', '987515236', '987515180', '987515181', '987515182', '987515183', '987515184', '987515185', '987515186', '987515237', '987515238', '987515175', '987515176', '987515177', '987515178', '987515179'] In select_photos_meta_from_ids: SELECT photo_id, url, FROM_UNIXTIME(uploaded_at), latitude, longitude, text FROM MTRBack.photos WHERE photo_id IN (987515187,987515217,987515219,987515220,987515222,987515223,987515239,987515240,987515241,987515242,987515243,987515244,987515245,987515246,987515247,987515248,987515249,987515250,987515224,987515226,987515227,987515228,987515198,987515200,987515201,987515202,987515204,987515205,987515207,987515208,987515209,987515211,987515212,987515213,987515215,987515216,987515188,987515189,987515190,987515192,987515193,987515195,987515196,987515230,987515231,987515232,987515233,987515234,987515235,987515236,987515180,987515181,987515182,987515183,987515184,987515185,987515186,987515237,987515238,987515175,987515176,987515177,987515178,987515179) result : {987515175: {'photo_id': 987515175, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/8b398cba2f448622cd9657f5eb3f9796.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22062023_14_16_02_694514_0001.jpg'}, 987515176: {'photo_id': 987515176, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/8b398cba2f448622cd9657f5eb3f9796.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_144.jpg'}, 987515177: {'photo_id': 987515177, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/4a54e9967227806219ddf45d256539d8.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_176.jpg'}, 987515178: {'photo_id': 987515178, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/298b3d2bfe0fda6787b59a78e2e68867.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_208.jpg'}, 987515179: {'photo_id': 987515179, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/f7d4d1757a470f4c96dc3541eac88b9e.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_240.jpg'}, 987515180: {'photo_id': 987515180, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/776a5d7d8486ee2961bbe3a0d90f95b5.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_272.jpg'}, 987515181: {'photo_id': 987515181, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/1738c2798fb31152809ecb443ac286d6.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_304.jpg'}, 987515182: {'photo_id': 987515182, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/fe7f29bf6d13e08c3e985f91b5232178.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_112_y_336.jpg'}, 987515183: {'photo_id': 987515183, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/6aab9ca0421398b4899892c10c2594c6.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_112.jpg'}, 987515184: {'photo_id': 987515184, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/19c8c2177209a285df6014d95fe53f2c.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_144.jpg'}, 987515185: {'photo_id': 987515185, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e172d54457cabee9d7f02ee1300f3ae9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_176.jpg'}, 987515186: {'photo_id': 987515186, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/797def426440b544aa80dbd63a19234a.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_208.jpg'}, 987515187: {'photo_id': 987515187, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/9f62f98efd3caca0b9c17d27f5c70440.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_240.jpg'}, 987515188: {'photo_id': 987515188, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/4116f9906657a69bb76c2fda982037b9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_272.jpg'}, 987515189: {'photo_id': 987515189, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/8e8590a26f72249d4c2116dffd0cf668.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_304.jpg'}, 987515190: {'photo_id': 987515190, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/d56932bfc6ba2a8c974c691108755017.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_144_y_336.jpg'}, 987515192: {'photo_id': 987515192, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b661073b218f5f056833d6af1c617153.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_112.jpg'}, 987515193: {'photo_id': 987515193, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/1a97fceb4dcbf5821d783b2e00b52fe6.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_144.jpg'}, 987515195: {'photo_id': 987515195, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/30ccb89dfe410c445878a7f2819ddc36.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22062023_17_37_58_622227.jpg'}, 987515196: {'photo_id': 987515196, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/30ccb89dfe410c445878a7f2819ddc36.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_208.jpg'}, 987515198: {'photo_id': 987515198, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/599e80f444c876f407e94b533c89360b.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_240.jpg'}, 987515200: {'photo_id': 987515200, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/978964436b5d5fb0eeda17e3bfafe889.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_272.jpg'}, 987515201: {'photo_id': 987515201, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b224d2acdc7fa2bbb134c09db6bca7ce.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_304.jpg'}, 987515202: {'photo_id': 987515202, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/3314bd90d1404f31b827d8925abf2d62.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_176_y_336.jpg'}, 987515204: {'photo_id': 987515204, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/9779c4f9d44360a9c80499e3b01e8a09.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_112.jpg'}, 987515205: {'photo_id': 987515205, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/fd4b136d0b3a9a1a347942d7191f6fea.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_144.jpg'}, 987515207: {'photo_id': 987515207, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/de216ddb041e249524b0fb2b949064a5.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_176.jpg'}, 987515208: {'photo_id': 987515208, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/a2b90cb74908aa64bbc4aae58f0c5ae8.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_208.jpg'}, 987515209: {'photo_id': 987515209, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/02dfe1ae39f51994652f4a8538844aea.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_240.jpg'}, 987515211: {'photo_id': 987515211, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/72cc7664d45bd40477351b9b764f1500.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_272.jpg'}, 987515212: {'photo_id': 987515212, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22062023_09_32_14_525625.jpg'}, 987515213: {'photo_id': 987515213, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_208_y_336.jpg'}, 987515215: {'photo_id': 987515215, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/902ef348a7eebb9a8b87f42927347936.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_112.jpg'}, 987515216: {'photo_id': 987515216, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/4f7dc21f1d2cd3fcabadc4a6755921e1.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_144.jpg'}, 987515217: {'photo_id': 987515217, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/78877bb2c5760be28518d17f77d1c609.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_176.jpg'}, 987515219: {'photo_id': 987515219, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/c2d417a5ba6ccf7c84527636f8d5eef9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_208.jpg'}, 987515220: {'photo_id': 987515220, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e729f316c4c3b32049adfbaaa336d95c.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_240.jpg'}, 987515222: {'photo_id': 987515222, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/067a027bc7402f969b6277d0dcb47eaa.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_272.jpg'}, 987515223: {'photo_id': 987515223, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/ebb57f09941cd11d7ee45a9368a883c1.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_304.jpg'}, 987515224: {'photo_id': 987515224, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e8747b400e713ecbd08d5b75db4d7568.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_240_y_336.jpg'}, 987515226: {'photo_id': 987515226, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/a18048dca1a77ae086b62cf07759f704.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_112.jpg'}, 987515227: {'photo_id': 987515227, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e9c45a0e576ec9e44c1379c3fc5fec7c.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_144.jpg'}, 987515228: {'photo_id': 987515228, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/9f1759f20c9e603bccb9f9879d2f0d54.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_176.jpg'}, 987515230: {'photo_id': 987515230, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/846ad925884264181565c81d152a2e94.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_208.jpg'}, 987515231: {'photo_id': 987515231, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/dbf4cafa71b6db4771c5c8f0c25e9cda.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_240.jpg'}, 987515232: {'photo_id': 987515232, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/38db7950cdb3c674ee0ad65915b021f3.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_272.jpg'}, 987515233: {'photo_id': 987515233, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/a92514bed0e8c5724f2d032d3ab1e2ad.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_304.jpg'}, 987515234: {'photo_id': 987515234, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/2eca3480aed0f8b876242675ad99b666.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_272_y_336.jpg'}, 987515235: {'photo_id': 987515235, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/87075955a2f76b3948b47ffe1825ecd9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_112.jpg'}, 987515236: {'photo_id': 987515236, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/8b44a98b1aceadad73ed000d65836a9a.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_144.jpg'}, 987515237: {'photo_id': 987515237, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/1183dfa371a457f11ce2b622c7cf9467.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_176.jpg'}, 987515238: {'photo_id': 987515238, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e6292cb81e05894cfeb4b99f21a1d3f8.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_208.jpg'}, 987515239: {'photo_id': 987515239, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b3fa6f29636080b5138c8d8c33fea309.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_240.jpg'}, 987515240: {'photo_id': 987515240, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_272.jpg'}, 987515241: {'photo_id': 987515241, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/073420d938f5f010ffd5b4353c064e09.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_304.jpg'}, 987515242: {'photo_id': 987515242, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/327abb5215d6fd1f0aad51f53ed8c324.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_304_y_336.jpg'}, 987515243: {'photo_id': 987515243, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/4375283f3bc5cdaa431c2fc6f17f53a4.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_112.jpg'}, 987515244: {'photo_id': 987515244, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/419530eaef5ef868f75c758b94eea4b4.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_144.jpg'}, 987515245: {'photo_id': 987515245, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/757d9d208d5bd4375c5f21f68b699148.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_176.jpg'}, 987515246: {'photo_id': 987515246, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/671a708f67f2efa19004b8257fc7b9c8.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_208.jpg'}, 987515247: {'photo_id': 987515247, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/e47b65403df916ba909bc9c439b0af73.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_240.jpg'}, 987515248: {'photo_id': 987515248, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/a70ad88462a22fb62a120721a42b2d42.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'image_22062023_14_16_02_694514_0002.jpg'}, 987515249: {'photo_id': 987515249, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/a70ad88462a22fb62a120721a42b2d42.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_304.jpg'}, 987515250: {'photo_id': 987515250, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/11/22/b2827c9639df69656f23abcc7f2f82d9.jpg', 'latitude': 0.0, 'longitude': 0.0, 'text': 'photo_origin_x_336_y_336.jpg'}} list_photo_exists : [987515175, 987515176, 987515177, 987515178, 987515179, 987515180, 987515181, 987515182, 987515183, 987515184, 987515185, 987515186, 987515187, 987515188, 987515189, 987515190, 987515192, 987515193, 987515195, 987515196, 987515198, 987515200, 987515201, 987515202, 987515204, 987515205, 987515207, 987515208, 987515209, 987515211, 987515212, 987515213, 987515215, 987515216, 987515217, 987515219, 987515220, 987515222, 987515223, 987515224, 987515226, 987515227, 987515228, 987515230, 987515231, 987515232, 987515233, 987515234, 987515235, 987515236, 987515237, 987515238, 987515239, 987515240, 987515241, 987515242, 987515243, 987515244, 987515245, 987515246, 987515247, 987515248, 987515249, 987515250] storage_type for insertDescriptorsMulti : 1 To insert : 987515187 To insert : 987515217 To insert : 987515219 To insert : 987515220 To insert : 987515222 To insert : 987515223 To insert : 987515239 To insert : 987515240 To insert : 987515241 To insert : 987515242 To insert : 987515243 To insert : 987515244 To insert : 987515245 To insert : 987515246 To insert : 987515247 To insert : 987515248 To insert : 987515249 To insert : 987515250 To insert : 987515224 To insert : 987515226 To insert : 987515227 To insert : 987515228 To insert : 987515198 To insert : 987515200 To insert : 987515201 To insert : 987515202 To insert : 987515204 To insert : 987515205 To insert : 987515207 To insert : 987515208 To insert : 987515209 To insert : 987515211 To insert : 987515212 To insert : 987515213 To insert : 987515215 To insert : 987515216 To insert : 987515188 To insert : 987515189 To insert : 987515190 To insert : 987515192 To insert : 987515193 To insert : 987515195 To insert : 987515196 To insert : 987515230 To insert : 987515231 To insert : 987515232 To insert : 987515233 To insert : 987515234 To insert : 987515235 To insert : 987515236 To insert : 987515180 To insert : 987515181 To insert : 987515182 To insert : 987515183 To insert : 987515184 To insert : 987515185 To insert : 987515186 To insert : 987515237 To insert : 987515238 To insert : 987515175 To insert : 987515176 To insert : 987515177 To insert : 987515178 To insert : 987515179 time to insert the descriptors : 14.38646936416626 After datou_step_exec type output : time spend for datou_step_exec : 22.32776141166687 time spend to save output : 0.00012946128845214844 total time spend for step 1 : 22.327890872955322 step2:argmax Thu Apr 17 03:41:05 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854041_1331777_987515188_4116f9906657a69bb76c2fda982037b9.jpg': 987515188, 'temp/1744854041_1331777_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg': 987515189, 'temp/1744854041_1331777_987515190_d56932bfc6ba2a8c974c691108755017.jpg': 987515190, 'temp/1744854041_1331777_987515192_b661073b218f5f056833d6af1c617153.jpg': 987515192, 'temp/1744854041_1331777_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg': 987515193, 'temp/1744854041_1331777_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg': 987515195, 'temp/1744854041_1331777_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg': 987515196, 'temp/1744854041_1331777_987515198_599e80f444c876f407e94b533c89360b.jpg': 987515198, 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'temp/1744854041_1331777_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg': 987515187} map_photo_id_path_extension : {987515188: {'path': 'temp/1744854041_1331777_987515188_4116f9906657a69bb76c2fda982037b9.jpg', 'extension': 'jpg'}, 987515189: {'path': 'temp/1744854041_1331777_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg', 'extension': 'jpg'}, 987515190: {'path': 'temp/1744854041_1331777_987515190_d56932bfc6ba2a8c974c691108755017.jpg', 'extension': 'jpg'}, 987515192: {'path': 'temp/1744854041_1331777_987515192_b661073b218f5f056833d6af1c617153.jpg', 'extension': 'jpg'}, 987515193: {'path': 'temp/1744854041_1331777_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg', 'extension': 'jpg'}, 987515195: {'path': 'temp/1744854041_1331777_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg', 'extension': 'jpg'}, 987515196: {'path': 'temp/1744854041_1331777_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg', 'extension': 'jpg'}, 987515198: {'path': 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'extension': 'jpg'}, 987515211: {'path': 'temp/1744854041_1331777_987515211_72cc7664d45bd40477351b9b764f1500.jpg', 'extension': 'jpg'}, 987515212: {'path': 'temp/1744854041_1331777_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'extension': 'jpg'}, 987515213: {'path': 'temp/1744854041_1331777_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg', 'extension': 'jpg'}, 987515215: {'path': 'temp/1744854041_1331777_987515215_902ef348a7eebb9a8b87f42927347936.jpg', 'extension': 'jpg'}, 987515216: {'path': 'temp/1744854041_1331777_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg', 'extension': 'jpg'}, 987515217: {'path': 'temp/1744854041_1331777_987515217_78877bb2c5760be28518d17f77d1c609.jpg', 'extension': 'jpg'}, 987515219: {'path': 'temp/1744854041_1331777_987515219_c2d417a5ba6ccf7c84527636f8d5eef9.jpg', 'extension': 'jpg'}, 987515220: {'path': 'temp/1744854041_1331777_987515220_e729f316c4c3b32049adfbaaa336d95c.jpg', 'extension': 'jpg'}, 987515222: {'path': 'temp/1744854041_1331777_987515222_067a027bc7402f969b6277d0dcb47eaa.jpg', 'extension': 'jpg'}, 987515223: {'path': 'temp/1744854041_1331777_987515223_ebb57f09941cd11d7ee45a9368a883c1.jpg', 'extension': 'jpg'}, 987515239: {'path': 'temp/1744854041_1331777_987515239_b3fa6f29636080b5138c8d8c33fea309.jpg', 'extension': 'jpg'}, 987515240: {'path': 'temp/1744854041_1331777_987515240_7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg', 'extension': 'jpg'}, 987515241: {'path': 'temp/1744854041_1331777_987515241_073420d938f5f010ffd5b4353c064e09.jpg', 'extension': 'jpg'}, 987515242: {'path': 'temp/1744854041_1331777_987515242_327abb5215d6fd1f0aad51f53ed8c324.jpg', 'extension': 'jpg'}, 987515243: {'path': 'temp/1744854041_1331777_987515243_4375283f3bc5cdaa431c2fc6f17f53a4.jpg', 'extension': 'jpg'}, 987515244: {'path': 'temp/1744854041_1331777_987515244_419530eaef5ef868f75c758b94eea4b4.jpg', 'extension': 'jpg'}, 987515245: {'path': 'temp/1744854041_1331777_987515245_757d9d208d5bd4375c5f21f68b699148.jpg', 'extension': 'jpg'}, 987515246: {'path': 'temp/1744854041_1331777_987515246_671a708f67f2efa19004b8257fc7b9c8.jpg', 'extension': 'jpg'}, 987515247: {'path': 'temp/1744854041_1331777_987515247_e47b65403df916ba909bc9c439b0af73.jpg', 'extension': 'jpg'}, 987515248: {'path': 'temp/1744854041_1331777_987515248_a70ad88462a22fb62a120721a42b2d42.jpg', 'extension': 'jpg'}, 987515249: {'path': 'temp/1744854041_1331777_987515249_a70ad88462a22fb62a120721a42b2d42.jpg', 'extension': 'jpg'}, 987515250: {'path': 'temp/1744854041_1331777_987515250_b2827c9639df69656f23abcc7f2f82d9.jpg', 'extension': 'jpg'}, 987515224: {'path': 'temp/1744854041_1331777_987515224_e8747b400e713ecbd08d5b75db4d7568.jpg', 'extension': 'jpg'}, 987515226: {'path': 'temp/1744854041_1331777_987515226_a18048dca1a77ae086b62cf07759f704.jpg', 'extension': 'jpg'}, 987515227: {'path': 'temp/1744854041_1331777_987515227_e9c45a0e576ec9e44c1379c3fc5fec7c.jpg', 'extension': 'jpg'}, 987515228: {'path': 'temp/1744854041_1331777_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg', 'extension': 'jpg'}, 987515230: {'path': 'temp/1744854041_1331777_987515230_846ad925884264181565c81d152a2e94.jpg', 'extension': 'jpg'}, 987515231: {'path': 'temp/1744854041_1331777_987515231_dbf4cafa71b6db4771c5c8f0c25e9cda.jpg', 'extension': 'jpg'}, 987515232: {'path': 'temp/1744854041_1331777_987515232_38db7950cdb3c674ee0ad65915b021f3.jpg', 'extension': 'jpg'}, 987515233: {'path': 'temp/1744854041_1331777_987515233_a92514bed0e8c5724f2d032d3ab1e2ad.jpg', 'extension': 'jpg'}, 987515234: {'path': 'temp/1744854041_1331777_987515234_2eca3480aed0f8b876242675ad99b666.jpg', 'extension': 'jpg'}, 987515235: {'path': 'temp/1744854041_1331777_987515235_87075955a2f76b3948b47ffe1825ecd9.jpg', 'extension': 'jpg'}, 987515236: {'path': 'temp/1744854041_1331777_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg', 'extension': 'jpg'}, 987515237: {'path': 'temp/1744854041_1331777_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg', 'extension': 'jpg'}, 987515238: {'path': 'temp/1744854041_1331777_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg', 'extension': 'jpg'}, 987515175: {'path': 'temp/1744854041_1331777_987515175_8b398cba2f448622cd9657f5eb3f9796.jpg', 'extension': 'jpg'}, 987515176: {'path': 'temp/1744854041_1331777_987515176_8b398cba2f448622cd9657f5eb3f9796.jpg', 'extension': 'jpg'}, 987515177: {'path': 'temp/1744854041_1331777_987515177_4a54e9967227806219ddf45d256539d8.jpg', 'extension': 'jpg'}, 987515178: {'path': 'temp/1744854041_1331777_987515178_298b3d2bfe0fda6787b59a78e2e68867.jpg', 'extension': 'jpg'}, 987515179: {'path': 'temp/1744854041_1331777_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg', 'extension': 'jpg'}, 987515180: {'path': 'temp/1744854041_1331777_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg', 'extension': 'jpg'}, 987515181: {'path': 'temp/1744854041_1331777_987515181_1738c2798fb31152809ecb443ac286d6.jpg', 'extension': 'jpg'}, 987515182: {'path': 'temp/1744854041_1331777_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg', 'extension': 'jpg'}, 987515183: {'path': 'temp/1744854041_1331777_987515183_6aab9ca0421398b4899892c10c2594c6.jpg', 'extension': 'jpg'}, 987515184: {'path': 'temp/1744854041_1331777_987515184_19c8c2177209a285df6014d95fe53f2c.jpg', 'extension': 'jpg'}, 987515185: {'path': 'temp/1744854041_1331777_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg', 'extension': 'jpg'}, 987515186: {'path': 'temp/1744854041_1331777_987515186_797def426440b544aa80dbd63a19234a.jpg', 'extension': 'jpg'}, 987515187: {'path': 'temp/1744854041_1331777_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou_step Argmax ! calculate argmax for thcl : 1528 After datou_step_exec type output : time spend for datou_step_exec : 0.0007567405700683594 time spend to save output : 2.8848648071289062e-05 total time spend for step 2 : 0.0007855892181396484 caffe_path_current : About to save ! 0 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 2 output : {'987515187': [('987515187', 'Carton', 0.9810642, 1927, '1528'), 'temp/1744854041_1331777_987515187_9f62f98efd3caca0b9c17d27f5c70440.jpg'], '987515217': [('987515217', 'Carton', 0.5290419, 1927, '1528'), 'temp/1744854041_1331777_987515217_78877bb2c5760be28518d17f77d1c609.jpg'], '987515219': [('987515219', 'Carton', 0.99936694, 1927, '1528'), 'temp/1744854041_1331777_987515219_c2d417a5ba6ccf7c84527636f8d5eef9.jpg'], '987515220': [('987515220', 'Carton', 0.99638015, 1927, '1528'), 'temp/1744854041_1331777_987515220_e729f316c4c3b32049adfbaaa336d95c.jpg'], '987515222': [('987515222', 'Carton', 0.99748117, 1927, '1528'), 'temp/1744854041_1331777_987515222_067a027bc7402f969b6277d0dcb47eaa.jpg'], '987515223': [('987515223', 'Carton', 0.9920935, 1927, '1528'), 'temp/1744854041_1331777_987515223_ebb57f09941cd11d7ee45a9368a883c1.jpg'], '987515239': [('987515239', 'Carton', 0.9997824, 1927, '1528'), 'temp/1744854041_1331777_987515239_b3fa6f29636080b5138c8d8c33fea309.jpg'], '987515240': [('987515240', 'Carton', 0.9995202, 1927, '1528'), 'temp/1744854041_1331777_987515240_7829b9b15f1bf128ea4e2c1a39b9f0dd.jpg'], '987515241': [('987515241', 'Carton', 0.98217255, 1927, '1528'), 'temp/1744854041_1331777_987515241_073420d938f5f010ffd5b4353c064e09.jpg'], '987515242': [('987515242', 'Carton', 0.9359819, 1927, '1528'), 'temp/1744854041_1331777_987515242_327abb5215d6fd1f0aad51f53ed8c324.jpg'], '987515243': [('987515243', 'Papier_Magazine', 0.87429136, 1927, '1528'), 'temp/1744854041_1331777_987515243_4375283f3bc5cdaa431c2fc6f17f53a4.jpg'], '987515244': [('987515244', 'Papier_Magazine', 0.817288, 1927, '1528'), 'temp/1744854041_1331777_987515244_419530eaef5ef868f75c758b94eea4b4.jpg'], '987515245': [('987515245', 'Carton', 0.8656189, 1927, '1528'), 'temp/1744854041_1331777_987515245_757d9d208d5bd4375c5f21f68b699148.jpg'], '987515246': [('987515246', 'Carton', 0.99923384, 1927, '1528'), 'temp/1744854041_1331777_987515246_671a708f67f2efa19004b8257fc7b9c8.jpg'], '987515247': [('987515247', 'Carton', 0.9996685, 1927, '1528'), 'temp/1744854041_1331777_987515247_e47b65403df916ba909bc9c439b0af73.jpg'], '987515248': [('987515248', 'Carton', 0.98133296, 1927, '1528'), 'temp/1744854041_1331777_987515248_a70ad88462a22fb62a120721a42b2d42.jpg'], '987515249': [('987515249', 'Carton', 0.9813378, 1927, '1528'), 'temp/1744854041_1331777_987515249_a70ad88462a22fb62a120721a42b2d42.jpg'], '987515250': [('987515250', 'Carton', 0.9807684, 1927, '1528'), 'temp/1744854041_1331777_987515250_b2827c9639df69656f23abcc7f2f82d9.jpg'], '987515224': [('987515224', 'Carton', 0.9088596, 1927, '1528'), 'temp/1744854041_1331777_987515224_e8747b400e713ecbd08d5b75db4d7568.jpg'], '987515226': [('987515226', 'Papier_Magazine', 0.98699653, 1927, '1528'), 'temp/1744854041_1331777_987515226_a18048dca1a77ae086b62cf07759f704.jpg'], '987515227': [('987515227', 'Papier_Magazine', 0.9005408, 1927, '1528'), 'temp/1744854041_1331777_987515227_e9c45a0e576ec9e44c1379c3fc5fec7c.jpg'], '987515228': [('987515228', 'Papier_Magazine', 0.52098054, 1927, '1528'), 'temp/1744854041_1331777_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg'], '987515198': [('987515198', 'Carton', 0.9660139, 1927, '1528'), 'temp/1744854041_1331777_987515198_599e80f444c876f407e94b533c89360b.jpg'], '987515200': [('987515200', 'Carton', 0.98598516, 1927, '1528'), 'temp/1744854041_1331777_987515200_978964436b5d5fb0eeda17e3bfafe889.jpg'], '987515201': [('987515201', 'Carton', 0.9954543, 1927, '1528'), 'temp/1744854041_1331777_987515201_b224d2acdc7fa2bbb134c09db6bca7ce.jpg'], '987515202': [('987515202', 'Carton', 0.99111146, 1927, '1528'), 'temp/1744854041_1331777_987515202_3314bd90d1404f31b827d8925abf2d62.jpg'], '987515204': [('987515204', 'Papier_Magazine', 0.9950825, 1927, '1528'), 'temp/1744854041_1331777_987515204_9779c4f9d44360a9c80499e3b01e8a09.jpg'], '987515205': [('987515205', 'Papier_Magazine', 0.99082816, 1927, '1528'), 'temp/1744854041_1331777_987515205_fd4b136d0b3a9a1a347942d7191f6fea.jpg'], '987515207': [('987515207', 'Papier_Magazine', 0.8746841, 1927, '1528'), 'temp/1744854041_1331777_987515207_de216ddb041e249524b0fb2b949064a5.jpg'], '987515208': [('987515208', 'Carton', 0.9916943, 1927, '1528'), 'temp/1744854041_1331777_987515208_a2b90cb74908aa64bbc4aae58f0c5ae8.jpg'], '987515209': [('987515209', 'Carton', 0.96664053, 1927, '1528'), 'temp/1744854041_1331777_987515209_02dfe1ae39f51994652f4a8538844aea.jpg'], '987515211': [('987515211', 'Carton', 0.9734875, 1927, '1528'), 'temp/1744854041_1331777_987515211_72cc7664d45bd40477351b9b764f1500.jpg'], '987515212': [('987515212', 'Carton', 0.98691005, 1927, '1528'), 'temp/1744854041_1331777_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg'], '987515213': [('987515213', 'Carton', 0.9869372, 1927, '1528'), 'temp/1744854041_1331777_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg'], '987515215': [('987515215', 'Papier_Magazine', 0.9939247, 1927, '1528'), 'temp/1744854041_1331777_987515215_902ef348a7eebb9a8b87f42927347936.jpg'], '987515216': [('987515216', 'Papier_Magazine', 0.97746015, 1927, '1528'), 'temp/1744854041_1331777_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg'], '987515188': [('987515188', 'Carton', 0.99565697, 1927, '1528'), 'temp/1744854041_1331777_987515188_4116f9906657a69bb76c2fda982037b9.jpg'], '987515189': [('987515189', 'Carton', 0.99778336, 1927, '1528'), 'temp/1744854041_1331777_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg'], '987515190': [('987515190', 'Carton', 0.97635967, 1927, '1528'), 'temp/1744854041_1331777_987515190_d56932bfc6ba2a8c974c691108755017.jpg'], '987515192': [('987515192', 'Papier_Magazine', 0.9999112, 1927, '1528'), 'temp/1744854041_1331777_987515192_b661073b218f5f056833d6af1c617153.jpg'], '987515193': [('987515193', 'Papier_Magazine', 0.99939644, 1927, '1528'), 'temp/1744854041_1331777_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg'], '987515195': [('987515195', 'Carton', 0.9846618, 1927, '1528'), 'temp/1744854041_1331777_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg'], '987515196': [('987515196', 'Carton', 0.98461086, 1927, '1528'), 'temp/1744854041_1331777_987515196_30ccb89dfe410c445878a7f2819ddc36.jpg'], '987515230': [('987515230', 'Carton', 0.9994056, 1927, '1528'), 'temp/1744854041_1331777_987515230_846ad925884264181565c81d152a2e94.jpg'], '987515231': [('987515231', 'Carton', 0.9994215, 1927, '1528'), 'temp/1744854041_1331777_987515231_dbf4cafa71b6db4771c5c8f0c25e9cda.jpg'], '987515232': [('987515232', 'Carton', 0.9992465, 1927, '1528'), 'temp/1744854041_1331777_987515232_38db7950cdb3c674ee0ad65915b021f3.jpg'], '987515233': [('987515233', 'Carton', 0.98335916, 1927, '1528'), 'temp/1744854041_1331777_987515233_a92514bed0e8c5724f2d032d3ab1e2ad.jpg'], '987515234': [('987515234', 'Carton', 0.9445086, 1927, '1528'), 'temp/1744854041_1331777_987515234_2eca3480aed0f8b876242675ad99b666.jpg'], '987515235': [('987515235', 'Papier_Magazine', 0.89220303, 1927, '1528'), 'temp/1744854041_1331777_987515235_87075955a2f76b3948b47ffe1825ecd9.jpg'], '987515236': [('987515236', 'Papier_Magazine', 0.53876144, 1927, '1528'), 'temp/1744854041_1331777_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg'], '987515180': [('987515180', 'Carton', 0.9900185, 1927, '1528'), 'temp/1744854041_1331777_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg'], '987515181': [('987515181', 'Carton', 0.997787, 1927, '1528'), 'temp/1744854041_1331777_987515181_1738c2798fb31152809ecb443ac286d6.jpg'], '987515182': [('987515182', 'Carton', 0.9924354, 1927, '1528'), 'temp/1744854041_1331777_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg'], '987515183': [('987515183', 'Papier_Magazine', 0.99999225, 1927, '1528'), 'temp/1744854041_1331777_987515183_6aab9ca0421398b4899892c10c2594c6.jpg'], '987515184': [('987515184', 'Papier_Magazine', 0.99973184, 1927, '1528'), 'temp/1744854041_1331777_987515184_19c8c2177209a285df6014d95fe53f2c.jpg'], '987515185': [('987515185', 'Papier_Magazine', 0.7977771, 1927, '1528'), 'temp/1744854041_1331777_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg'], '987515186': [('987515186', 'Carton', 0.9847499, 1927, '1528'), 'temp/1744854041_1331777_987515186_797def426440b544aa80dbd63a19234a.jpg'], '987515237': [('987515237', 'Carton', 0.7699749, 1927, '1528'), 'temp/1744854041_1331777_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg'], '987515238': [('987515238', 'Carton', 0.9995714, 1927, '1528'), 'temp/1744854041_1331777_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg'], '987515175': [('987515175', 'Papier_Magazine', 0.9998123, 1927, '1528'), 'temp/1744854041_1331777_987515175_8b398cba2f448622cd9657f5eb3f9796.jpg'], '987515176': [('987515176', 'Papier_Magazine', 0.99981374, 1927, '1528'), 'temp/1744854041_1331777_987515176_8b398cba2f448622cd9657f5eb3f9796.jpg'], '987515177': [('987515177', 'Papier_Magazine', 0.9772069, 1927, '1528'), 'temp/1744854041_1331777_987515177_4a54e9967227806219ddf45d256539d8.jpg'], '987515178': [('987515178', 'Carton', 0.8575339, 1927, '1528'), 'temp/1744854041_1331777_987515178_298b3d2bfe0fda6787b59a78e2e68867.jpg'], '987515179': [('987515179', 'Carton', 0.9267864, 1927, '1528'), 'temp/1744854041_1331777_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg']} Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1879 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=1879 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 1879 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=1879 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : detect_points list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (987515173) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 987515173 download finish for photo 987515173 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.10155963897705078 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 1 step1:detect_points Thu Apr 17 03:41:05 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854065_1331777_987515173_91fa471b1a04f95b356afdbaf021f623.jpg': 987515173} map_photo_id_path_extension : {987515173: {'path': 'temp/1744854065_1331777_987515173_91fa471b1a04f95b356afdbaf021f623.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou step predict points ! Inside try reload ! classes : ['Autre_Environement', 'Carton', 'Kraft', 'Lointain_Papier_Magazine', 'Metal', 'Papier_Magazine', 'Plastique', 'Sol_Environement', 'Teint_Dans_La_Masse', 'autre_refus'] pht : 1927 model_name : learn_refus_upm_blanches_1924 {'id': 1528, 'mtr_user_id': 31, 'name': 'learn_refus_upm_blanches_1924', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Autre_Environement,Carton,Kraft,Lointain_Papier_Magazine,Metal,Papier_Magazine,Plastique,Sol_Environement,Teint_Dans_La_Masse,autre_refus', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 1927, 'photo_desc_type': 4421, 'type_classification': 'caffe', 'hashtag_id_list': '2107752388,492774966,493202403,2107752389,492628673,2107752386,492725882,2107752387,2107752385,2107752406'} gpu_mode in detect_points : 1 To load net FromThcl() model_param file didn't exist model_name : learn_refus_upm_blanches_1924 model_type : caffe list file need : ['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file exist in s3 : ['caffemodel', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file manque in s3 : ['deploy_conv_normal.prototxt', 'deploy_fc.prototxt'] local folder : /data/models_weight/learn_refus_upm_blanches_1924 /data/models_weight/learn_refus_upm_blanches_1924/caffemodel size_local : 45774543 size in s3 : 45774543 create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04 caffemodel already exist and didn't need to update /data/models_weight/learn_refus_upm_blanches_1924/deploy.prototxt size_local : 17312 size in s3 : 17312 create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:03 deploy.prototxt already exist and didn't need to update /data/models_weight/learn_refus_upm_blanches_1924/mean.npy size_local : 1572992 size in s3 : 1572992 create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:05 mean.npy already exist and didn't need to update /data/models_weight/learn_refus_upm_blanches_1924/synset_words.txt size_local : 218 size in s3 : 218 create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04 synset_words.txt already exist and didn't need to update reshape net's input to : (224, 224) origin shape : (10, 3, 224, 224) after reshape : (1, 3, 224, 224) [('data', (1, 3, 224, 224)), ('conv1', (1, 64, 112, 112)), ('pool1', (1, 64, 56, 56)), ('pool1_pool1_0_split_0', (1, 64, 56, 56)), ('pool1_pool1_0_split_1', (1, 64, 56, 56)), ('res2a_branch1', (1, 64, 56, 56)), ('res2a_branch2a', (1, 64, 56, 56)), ('res2a_branch2b', (1, 64, 56, 56)), ('res2a', (1, 64, 56, 56)), ('res2a_res2a_relu_0_split_0', (1, 64, 56, 56)), ('res2a_res2a_relu_0_split_1', (1, 64, 56, 56)), ('res2b_branch2a', (1, 64, 56, 56)), ('res2b_branch2b', (1, 64, 56, 56)), ('res2b', (1, 64, 56, 56)), ('res2b_res2b_relu_0_split_0', (1, 64, 56, 56)), ('res2b_res2b_relu_0_split_1', (1, 64, 56, 56)), ('res3a_branch1', (1, 128, 28, 28)), ('res3a_branch2a', (1, 128, 28, 28)), ('res3a_branch2b', (1, 128, 28, 28)), ('res3a', (1, 128, 28, 28)), ('res3a_res3a_relu_0_split_0', (1, 128, 28, 28)), ('res3a_res3a_relu_0_split_1', (1, 128, 28, 28)), ('res3b_branch2a', (1, 128, 28, 28)), ('res3b_branch2b', (1, 128, 28, 28)), ('res3b', (1, 128, 28, 28)), ('res3b_res3b_relu_0_split_0', (1, 128, 28, 28)), ('res3b_res3b_relu_0_split_1', (1, 128, 28, 28)), ('res4a_branch1', (1, 256, 14, 14)), ('res4a_branch2a', (1, 256, 14, 14)), ('res4a_branch2b', (1, 256, 14, 14)), ('res4a', (1, 256, 14, 14)), ('res4a_res4a_relu_0_split_0', (1, 256, 14, 14)), ('res4a_res4a_relu_0_split_1', (1, 256, 14, 14)), ('res4b_branch2a', (1, 256, 14, 14)), ('res4b_branch2b', (1, 256, 14, 14)), ('res4b', (1, 256, 14, 14)), ('res4b_res4b_relu_0_split_0', (1, 256, 14, 14)), ('res4b_res4b_relu_0_split_1', (1, 256, 14, 14)), ('res5a_branch1', (1, 512, 7, 7)), ('res5a_branch2a', (1, 512, 7, 7)), ('res5a_branch2b', (1, 512, 7, 7)), ('res5a', (1, 512, 7, 7)), ('res5a_res5a_relu_0_split_0', (1, 512, 7, 7)), ('res5a_res5a_relu_0_split_1', (1, 512, 7, 7)), ('res5b_branch2a', (1, 512, 7, 7)), ('res5b_branch2b', (1, 512, 7, 7)), ('res5b', (1, 512, 7, 7)), ('fc2019-10-22_15-02-46', (1, 10, 1, 1)), ('prob', (1, 10, 1, 1))] set image transformer : About to compute detect the points : len(args) : 1 Inside predict_points step exec : nb paths : 1 treate image : temp/1744854065_1331777_987515173_91fa471b1a04f95b356afdbaf021f623.jpg size of numpy array img : 2408584 scale method : caffe/skimage size of numpy array img_scale : 2408584 (448, 448, 3) nb_h 8 nb_w 8 size of sub images : (224, 224, 3) size of caffe_input : 38535320 (64, 3, 224, 224) time to do the preprocess : 0.025428056716918945 time to do a prediction : 0.21213841438293457 dict_keys(['prob']) shape of output (64, 10, 1, 1) shape of the out_put heatmap (10, 8, 8) number of sub_photos vertical and horizon 8 8 size of heatmap : (8,8) size of heatmap : (8,8) size of heatmap : (8,8) size of heatmap : (8,8) size of heatmap : (8,8) size of heatmap : (8,8) size of heatmap : (8,8) size of heatmap : (8,8) size of heatmap : (8,8) size of heatmap : (8,8) After datou_step_exec type output : time spend for datou_step_exec : 1.532686471939087 time spend to save output : 4.506111145019531e-05 total time spend for step 1 : 1.532731533050537 caffe_path_current : About to save ! 0 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {987515173: [(987515173, 1982, 'Autre_Environement', 112, -1, 112, -1, 6.24408857952119e-12), (987515173, 1982, 'Autre_Environement', 144, -1, 112, -1, 2.4288158290142192e-11), (987515173, 1982, 'Autre_Environement', 176, -1, 112, -1, 1.0656154181276634e-08), (987515173, 1982, 'Autre_Environement', 208, -1, 112, -1, 4.4418115408006997e-07), (987515173, 1982, 'Autre_Environement', 240, -1, 112, -1, 1.9276005787105532e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 112, -1, 3.779802136705257e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 112, -1, 0.00012270321894902736), (987515173, 1982, 'Autre_Environement', 336, -1, 112, -1, 2.9668362913071178e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 144, -1, 2.3709915808467485e-08), (987515173, 1982, 'Autre_Environement', 144, -1, 144, -1, 2.214516214849027e-08), (987515173, 1982, 'Autre_Environement', 176, -1, 144, -1, 1.378262908247052e-07), (987515173, 1982, 'Autre_Environement', 208, -1, 144, -1, 1.4729695294590783e-06), (987515173, 1982, 'Autre_Environement', 240, -1, 144, -1, 1.1291060218354687e-05), (987515173, 1982, 'Autre_Environement', 272, -1, 144, -1, 0.00015770693426020443), (987515173, 1982, 'Autre_Environement', 304, -1, 144, -1, 0.00044224353041499853), (987515173, 1982, 'Autre_Environement', 336, -1, 144, -1, 6.519506860058755e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 176, -1, 1.331674184257281e-06), (987515173, 1982, 'Autre_Environement', 144, -1, 176, -1, 1.630658402973495e-06), (987515173, 1982, 'Autre_Environement', 176, -1, 176, -1, 2.525575609979569e-06), (987515173, 1982, 'Autre_Environement', 208, -1, 176, -1, 1.613362201169366e-06), (987515173, 1982, 'Autre_Environement', 240, -1, 176, -1, 6.268362085393164e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 176, -1, 8.670316310599446e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 176, -1, 0.0003256858908571303), (987515173, 1982, 'Autre_Environement', 336, -1, 176, -1, 0.00030575250275433064), (987515173, 1982, 'Autre_Environement', 112, -1, 208, -1, 1.857312054198701e-05), (987515173, 1982, 'Autre_Environement', 144, -1, 208, -1, 7.926500074972864e-06), (987515173, 1982, 'Autre_Environement', 176, -1, 208, -1, 2.7011297788703814e-05), (987515173, 1982, 'Autre_Environement', 208, -1, 208, -1, 1.8037526388070546e-05), (987515173, 1982, 'Autre_Environement', 240, -1, 208, -1, 2.3521894036093727e-05), (987515173, 1982, 'Autre_Environement', 272, -1, 208, -1, 1.710066499072127e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 208, -1, 4.5331971705309115e-06), (987515173, 1982, 'Autre_Environement', 336, -1, 208, -1, 8.773215085966513e-06), (987515173, 1982, 'Autre_Environement', 112, -1, 240, -1, 6.102675797592383e-06), (987515173, 1982, 'Autre_Environement', 144, -1, 240, -1, 1.6479143596370704e-06), (987515173, 1982, 'Autre_Environement', 176, -1, 240, -1, 1.955656443897169e-06), (987515173, 1982, 'Autre_Environement', 208, -1, 240, -1, 1.4359267197505687e-06), (987515173, 1982, 'Autre_Environement', 240, -1, 240, -1, 7.872917194617912e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 240, -1, 1.2824776604247745e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 240, -1, 9.286709428124595e-06), (987515173, 1982, 'Autre_Environement', 336, -1, 240, -1, 2.1836396626895294e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 272, -1, 3.828494300250895e-06), (987515173, 1982, 'Autre_Environement', 144, -1, 272, -1, 2.5634135454311036e-06), (987515173, 1982, 'Autre_Environement', 176, -1, 272, -1, 2.9632487894559745e-06), (987515173, 1982, 'Autre_Environement', 208, -1, 272, -1, 2.7586697797232773e-06), (987515173, 1982, 'Autre_Environement', 240, -1, 272, -1, 4.310160420573084e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 272, -1, 8.168817657860927e-06), (987515173, 1982, 'Autre_Environement', 304, -1, 272, -1, 1.1525904483278282e-05), (987515173, 1982, 'Autre_Environement', 336, -1, 272, -1, 3.924076008843258e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 304, -1, 1.2062194400641602e-05), (987515173, 1982, 'Autre_Environement', 144, -1, 304, -1, 1.5723961041658185e-05), (987515173, 1982, 'Autre_Environement', 176, -1, 304, -1, 3.33130155922845e-05), (987515173, 1982, 'Autre_Environement', 208, -1, 304, -1, 0.00015442610310856253), (987515173, 1982, 'Autre_Environement', 240, -1, 304, -1, 0.00025899510364979506), (987515173, 1982, 'Autre_Environement', 272, -1, 304, -1, 0.00018794010975398123), (987515173, 1982, 'Autre_Environement', 304, -1, 304, -1, 0.0002125791652360931), (987515173, 1982, 'Autre_Environement', 336, -1, 304, -1, 0.00016459348262287676), (987515173, 1982, 'Autre_Environement', 112, -1, 336, -1, 4.548442120722029e-06), (987515173, 1982, 'Autre_Environement', 144, -1, 336, -1, 1.736181184242014e-05), (987515173, 1982, 'Autre_Environement', 176, -1, 336, -1, 4.9340425903210416e-05), (987515173, 1982, 'Autre_Environement', 208, -1, 336, -1, 0.0001213701325468719), (987515173, 1982, 'Autre_Environement', 240, -1, 336, -1, 0.0001957534987013787), (987515173, 1982, 'Autre_Environement', 272, -1, 336, -1, 0.00018778182857204229), (987515173, 1982, 'Autre_Environement', 304, -1, 336, -1, 0.00012362356937956065), (987515173, 1982, 'Autre_Environement', 336, -1, 336, -1, 0.00027213935391046107), (987515173, 1982, 'Carton', 112, -1, 112, -1, 1.5781034790052217e-07), (987515173, 1982, 'Carton', 144, -1, 112, -1, 4.031460321129998e-06), (987515173, 1982, 'Carton', 176, -1, 112, -1, 7.0284022513078526e-06), (987515173, 1982, 'Carton', 208, -1, 112, -1, 0.0008709880639798939), (987515173, 1982, 'Carton', 240, -1, 112, -1, 0.002650707494467497), (987515173, 1982, 'Carton', 272, -1, 112, -1, 0.003381952876225114), (987515173, 1982, 'Carton', 304, -1, 112, -1, 0.03139542415738106), (987515173, 1982, 'Carton', 336, -1, 112, -1, 0.056042224168777466), (987515173, 1982, 'Carton', 112, -1, 144, -1, 0.0001243647566298023), (987515173, 1982, 'Carton', 144, -1, 144, -1, 0.00020909869635943323), (987515173, 1982, 'Carton', 176, -1, 144, -1, 0.00036772206658497453), (987515173, 1982, 'Carton', 208, -1, 144, -1, 0.006858893670141697), (987515173, 1982, 'Carton', 240, -1, 144, -1, 0.015913233160972595), (987515173, 1982, 'Carton', 272, -1, 144, -1, 0.009362103417515755), (987515173, 1982, 'Carton', 304, -1, 144, -1, 0.009753945283591747), (987515173, 1982, 'Carton', 336, -1, 144, -1, 0.022080305963754654), (987515173, 1982, 'Carton', 112, -1, 176, -1, 0.021965213119983673), 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'1528'), 'temp/1744854041_1331777_987515228_9f1759f20c9e603bccb9f9879d2f0d54.jpg'], '987515198': [('987515198', 'Carton', 0.9660139, 1927, '1528'), 'temp/1744854041_1331777_987515198_599e80f444c876f407e94b533c89360b.jpg'], '987515200': [('987515200', 'Carton', 0.98598516, 1927, '1528'), 'temp/1744854041_1331777_987515200_978964436b5d5fb0eeda17e3bfafe889.jpg'], '987515201': [('987515201', 'Carton', 0.9954543, 1927, '1528'), 'temp/1744854041_1331777_987515201_b224d2acdc7fa2bbb134c09db6bca7ce.jpg'], '987515202': [('987515202', 'Carton', 0.99111146, 1927, '1528'), 'temp/1744854041_1331777_987515202_3314bd90d1404f31b827d8925abf2d62.jpg'], '987515204': [('987515204', 'Papier_Magazine', 0.9950825, 1927, '1528'), 'temp/1744854041_1331777_987515204_9779c4f9d44360a9c80499e3b01e8a09.jpg'], '987515205': [('987515205', 'Papier_Magazine', 0.99082816, 1927, '1528'), 'temp/1744854041_1331777_987515205_fd4b136d0b3a9a1a347942d7191f6fea.jpg'], '987515207': [('987515207', 'Papier_Magazine', 0.8746841, 1927, '1528'), 'temp/1744854041_1331777_987515207_de216ddb041e249524b0fb2b949064a5.jpg'], '987515208': [('987515208', 'Carton', 0.9916943, 1927, '1528'), 'temp/1744854041_1331777_987515208_a2b90cb74908aa64bbc4aae58f0c5ae8.jpg'], '987515209': [('987515209', 'Carton', 0.96664053, 1927, '1528'), 'temp/1744854041_1331777_987515209_02dfe1ae39f51994652f4a8538844aea.jpg'], '987515211': [('987515211', 'Carton', 0.9734875, 1927, '1528'), 'temp/1744854041_1331777_987515211_72cc7664d45bd40477351b9b764f1500.jpg'], '987515212': [('987515212', 'Carton', 0.98691005, 1927, '1528'), 'temp/1744854041_1331777_987515212_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg'], '987515213': [('987515213', 'Carton', 0.9869372, 1927, '1528'), 'temp/1744854041_1331777_987515213_b0a038fcb9678ebfd60d9b1f6ec1fc17.jpg'], '987515215': [('987515215', 'Papier_Magazine', 0.9939247, 1927, '1528'), 'temp/1744854041_1331777_987515215_902ef348a7eebb9a8b87f42927347936.jpg'], '987515216': [('987515216', 'Papier_Magazine', 0.97746015, 1927, '1528'), 'temp/1744854041_1331777_987515216_4f7dc21f1d2cd3fcabadc4a6755921e1.jpg'], '987515188': [('987515188', 'Carton', 0.99565697, 1927, '1528'), 'temp/1744854041_1331777_987515188_4116f9906657a69bb76c2fda982037b9.jpg'], '987515189': [('987515189', 'Carton', 0.99778336, 1927, '1528'), 'temp/1744854041_1331777_987515189_8e8590a26f72249d4c2116dffd0cf668.jpg'], '987515190': [('987515190', 'Carton', 0.97635967, 1927, '1528'), 'temp/1744854041_1331777_987515190_d56932bfc6ba2a8c974c691108755017.jpg'], '987515192': [('987515192', 'Papier_Magazine', 0.9999112, 1927, '1528'), 'temp/1744854041_1331777_987515192_b661073b218f5f056833d6af1c617153.jpg'], '987515193': [('987515193', 'Papier_Magazine', 0.99939644, 1927, '1528'), 'temp/1744854041_1331777_987515193_1a97fceb4dcbf5821d783b2e00b52fe6.jpg'], '987515195': [('987515195', 'Carton', 0.9846618, 1927, '1528'), 'temp/1744854041_1331777_987515195_30ccb89dfe410c445878a7f2819ddc36.jpg'], '987515196': [('987515196', 'Carton', 0.98461086, 1927, 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'1528'), 'temp/1744854041_1331777_987515236_8b44a98b1aceadad73ed000d65836a9a.jpg'], '987515180': [('987515180', 'Carton', 0.9900185, 1927, '1528'), 'temp/1744854041_1331777_987515180_776a5d7d8486ee2961bbe3a0d90f95b5.jpg'], '987515181': [('987515181', 'Carton', 0.997787, 1927, '1528'), 'temp/1744854041_1331777_987515181_1738c2798fb31152809ecb443ac286d6.jpg'], '987515182': [('987515182', 'Carton', 0.9924354, 1927, '1528'), 'temp/1744854041_1331777_987515182_fe7f29bf6d13e08c3e985f91b5232178.jpg'], '987515183': [('987515183', 'Papier_Magazine', 0.99999225, 1927, '1528'), 'temp/1744854041_1331777_987515183_6aab9ca0421398b4899892c10c2594c6.jpg'], '987515184': [('987515184', 'Papier_Magazine', 0.99973184, 1927, '1528'), 'temp/1744854041_1331777_987515184_19c8c2177209a285df6014d95fe53f2c.jpg'], '987515185': [('987515185', 'Papier_Magazine', 0.7977771, 1927, '1528'), 'temp/1744854041_1331777_987515185_e172d54457cabee9d7f02ee1300f3ae9.jpg'], '987515186': [('987515186', 'Carton', 0.9847499, 1927, '1528'), 'temp/1744854041_1331777_987515186_797def426440b544aa80dbd63a19234a.jpg'], '987515237': [('987515237', 'Carton', 0.7699749, 1927, '1528'), 'temp/1744854041_1331777_987515237_1183dfa371a457f11ce2b622c7cf9467.jpg'], '987515238': [('987515238', 'Carton', 0.9995714, 1927, '1528'), 'temp/1744854041_1331777_987515238_e6292cb81e05894cfeb4b99f21a1d3f8.jpg'], '987515175': [('987515175', 'Papier_Magazine', 0.9998123, 1927, '1528'), 'temp/1744854041_1331777_987515175_8b398cba2f448622cd9657f5eb3f9796.jpg'], '987515176': [('987515176', 'Papier_Magazine', 0.99981374, 1927, '1528'), 'temp/1744854041_1331777_987515176_8b398cba2f448622cd9657f5eb3f9796.jpg'], '987515177': [('987515177', 'Papier_Magazine', 0.9772069, 1927, '1528'), 'temp/1744854041_1331777_987515177_4a54e9967227806219ddf45d256539d8.jpg'], '987515178': [('987515178', 'Carton', 0.8575339, 1927, '1528'), 'temp/1744854041_1331777_987515178_298b3d2bfe0fda6787b59a78e2e68867.jpg'], '987515179': [('987515179', 'Carton', 0.9267864, 1927, '1528'), 'temp/1744854041_1331777_987515179_f7d4d1757a470f4c96dc3541eac88b9e.jpg']} result detect_point : {987515173: [(987515173, 1982, 'Autre_Environement', 112, -1, 112, -1, 6.24408857952119e-12), (987515173, 1982, 'Autre_Environement', 144, -1, 112, -1, 2.4288158290142192e-11), (987515173, 1982, 'Autre_Environement', 176, -1, 112, -1, 1.0656154181276634e-08), (987515173, 1982, 'Autre_Environement', 208, -1, 112, -1, 4.4418115408006997e-07), (987515173, 1982, 'Autre_Environement', 240, -1, 112, -1, 1.9276005787105532e-06), (987515173, 1982, 'Autre_Environement', 272, -1, 112, -1, 3.779802136705257e-05), (987515173, 1982, 'Autre_Environement', 304, -1, 112, -1, 0.00012270321894902736), (987515173, 1982, 'Autre_Environement', 336, -1, 112, -1, 2.9668362913071178e-05), (987515173, 1982, 'Autre_Environement', 112, -1, 144, -1, 2.3709915808467485e-08), (987515173, 1982, 'Autre_Environement', 144, -1, 144, -1, 2.214516214849027e-08), (987515173, 1982, 'Autre_Environement', 176, -1, 144, 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0.0004708489286713302), (987515173, 1982, 'autre_refus', 176, -1, 336, -1, 0.0003346978919580579), (987515173, 1982, 'autre_refus', 208, -1, 336, -1, 0.0002368989516980946), (987515173, 1982, 'autre_refus', 240, -1, 336, -1, 0.00010676267265807837), (987515173, 1982, 'autre_refus', 272, -1, 336, -1, 9.574225259711966e-05), (987515173, 1982, 'autre_refus', 304, -1, 336, -1, 0.000131330918520689), (987515173, 1982, 'autre_refus', 336, -1, 336, -1, 0.0007306626066565514)]} ############################### TEST certificat_qualite_papier ################################ TEST certificat qualite papier Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1848 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=1848 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 1848 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=1848 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! Step 4442 tile have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 4441 detect_points is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 4443 count_percent_refus is not consistent : 4 used against 3 in the step definition ! Step 4444 send_mail_dechet have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : output 1 of step 4440 have datatype=1 whereas input 0 of step 4443 have datatype=2 WARNING : type of output 1 of step 4441 doesn't seem to be define in the database( WARNING : type of input 4 of step 4443 doesn't seem to be define in the database( DataTypes for each output/input checked ! no param json to modify List Step Type Loaded in datou : init_dechet, tile, detect_points, count_percent_refus, brightness, blur_detection, send_mail_dechet list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT ph.photo_id, ph.url FROM MTRBack.photos ph WHERE ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (1902940) and hide_status = 0 ) ORDER BY ph.photo_id DESC LIMIT 0, 10000 Catched exception ! Connect or reconnect ! We have 1 , {} SELECT mtr_photo_id, mtr_portfolio_id FROM MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (1902940) AND hide_status = 0 ORDER by mtr_photo_id desc LIMIT 0, 10000 list_result: [{'photo_id': 987321136, 'portfolio_id': 1902940}] map_portfolio_id_photo_id: {1902940: [987321136]} ##### Call download_photos : nb_thread : 5 begin to download photo : 987321136 download finish for photo 987321136 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.2484290599822998 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 7 step1:init_dechet Thu Apr 17 03:41:07 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136} map_photo_id_path_extension : {987321136: {'path': 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} debut step init detect dechets input : temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg ON MODIFIE NB AVEC LE INPUT map photo id path extension : temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg scale : 0.9481481481481482 FIN step init dechet After datou_step_exec type output : map_portfolio_photo : len 1 keys : dict_keys([1902940]) Inside saveOutput : final : False verbose : True saveOutput not yet implemented for datou_step.type : init_dechet we use saveGeneral [987321136] map_info['map_portfolio_photo'] : {1902940: [987321136]} final : False mtd_id 1848 list_pids : [987321136] Looping around the photos to save general results len do output : 1 /987321136Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('1848', None, None, None, None, None, None, None, None) ('1848', '1902940', '987321136', None, None, None, None, None, None) begin to insert list_values into mtr_datou_result : length of list_values in save_final : 4 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('1848', '1902940', '987321136', 'None', None, None, None, None, None)] time used for this insertion : 0.015461444854736328 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.00018525123596191406 time spend to save output : 0.015726089477539062 total time spend for step 1 : 0.015911340713500977 step2:tile Thu Apr 17 03:41:07 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 : {'987321136': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]} input_args_next_step : {'987321136': ()} output_args : {'987321136': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]} args : 987321136 depend.output_id : 0 We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure input_args_next_step, len :1, first value : ('temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg',) After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136} map_photo_id_path_extension : {987321136: {'path': 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {0: 987321136} verbose : True param_json : {'token': '78d09a0790ec6ecbf119343125a81fdc', 'portfolio_name': 'tile_correct_upm', 'ETA': 86400, 'new_width': 1500, 'new_height': 20000, 'host': 'www.fotonower.com', 'protocol': 'https', 'photo_tile_type': 1522, 'option_bande': 'True'} type(crop_hashtag_type) : type(crop_hashtag_type_tiled) : We consider crop_hashtag_type is an integer ! map_chi_type_to_chi_type_cropped : {406: 410} map_filenames : {987321136: 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg'} list_pids : 1 list_pids : 2 list_subpids to replace list_pids : 1 batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 987321136,987321136,987321136) and `type` in (406) Loaded 0 chid ids of type : 0 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in () https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=tile_correct_upm&access_token=78d09a0790ec6ecbf119343125a81fdc created feed_id_new_photos : 22117260 with name tile_correct_upm feed_id_new_photos : 22117260 filename : temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg photo_id : 987321136 height_image_input : 439 width_image_input : 562 new_width : 1500 new_height : 20000 stride : 0 stride_relative : 0.1 chi to copy from the main photo to the tiled photo input_chi_for_this_image_as_chi : 0 list_bib_to_crops : 1 [(0, 562, 0, 439, 0)] calcul des nouveaux crops pour le tile x0:0,x1:562,y0:0,y1:439 chi selectionnes : [] new_crops_tiles : 1 crop_transformed : 0 insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s) [(987321136, 2090988864, 1522, 0, 562, 0, 439, 1.0)] list_photo_ids_cropped : [987321136] batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 987321136) and `type` in (1522) Loaded 1 chid ids of type : 1522 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1608847328) SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1608847328) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1608847328) treat the image : temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg , 0 before upload mediasElapsed time : 0.01191854476928711 About to upload 1 photos upload in portfolio : 22117260 Result OK ! uploaded one batch 0 Elapsed time : 5.051407337188721 upload mediasElapsed time : 5.063404560089111 , 0insert ignore into MTRPhoto.crop_sub_photo_ids (crop_hashtag_id, sub_photo_id, mtr_user_id) VALUES (%s,%s,%s) : [(1608847328, 1350609140, 0)] Saving 0 CHIs. list_chi_tile : [] end of tileElapsed time : 5.079440355300903 map_pid_results : {'1350609140': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg']} After datou_step_exec type output : map_portfolio_photo : len 1 keys : dict_keys([1902940]) Inside saveOutput : final : False verbose : True saveOutput not yet implemented for datou_step.type : tile we use saveGeneral [987321136, 987321136, '1350609140'] map_info['map_portfolio_photo'] : {1902940: [987321136]} final : False mtd_id 1848 list_pids : [987321136, 987321136, '1350609140'] Looping around the photos to save general results len do output : 1 /1350609140Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('1848', None, None, None, None, None, None, None, None) ('1848', '1902940', '987321136', None, None, None, None, None, None) ('1848', None, None, None, None, None, None, None, None) ('1848', '1902940', '987321136', None, None, None, None, None, None) ('1848', None, None, None, None, None, None, None, None) ('1848', None, '1350609140', None, None, None, None, None, None) begin to insert list_values into mtr_datou_result : length of list_values in save_final : 4 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('1848', None, '1350609140', 'None', None, None, None, None, None), ('1848', '1902940', '987321136', None, None, None, None, None, None)] time used for this insertion : 0.015118598937988281 save_final save missing photos in datou_result : time spend for datou_step_exec : 12.136283159255981 time spend to save output : 0.015323877334594727 total time spend for step 2 : 12.151607036590576 step3:detect_points Thu Apr 17 03:41:19 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 : {'1350609140': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg']} input_args_next_step : {'1350609140': ()} output_args : {'1350609140': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg']} args : 1350609140 depend.output_id : 0 complete output_args for input 1 : {'987321136': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]} input_args_next_step : {'1350609140': ('temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg',), '987321136': ()} output_args : {'987321136': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]} args : 987321136 depend.output_id : 2 VR 22-3-18 : For now we do not clean correctly the datou structure input_args_next_step, len :2, first value : ('temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg',) After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136, 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg': 1350609140} map_photo_id_path_extension : {987321136: {'path': 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}, 1350609140: {'path': 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg'}} map_subphoto_mainphoto : {0: 987321136, 1350609140: 987321136} Beginning of datou step predict points ! Inside try reload ! classes : ['Autre_Environement', 'Carton', 'Kraft', 'Lointain_Papier_Magazine', 'Metal', 'Papier_Magazine', 'Plastique', 'Sol_Environement', 'Teint_Dans_La_Masse', 'autre_refus'] pht : 1927 model_name : learn_refus_upm_blanches_1924 {'id': 1528, 'mtr_user_id': 31, 'name': 'learn_refus_upm_blanches_1924', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Autre_Environement,Carton,Kraft,Lointain_Papier_Magazine,Metal,Papier_Magazine,Plastique,Sol_Environement,Teint_Dans_La_Masse,autre_refus', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 1927, 'photo_desc_type': 4421, 'type_classification': 'caffe', 'hashtag_id_list': '2107752388,492774966,493202403,2107752389,492628673,2107752386,492725882,2107752387,2107752385,2107752406'} gpu_mode in detect_points : False To load net FromThcl() model_param file didn't exist model_name : learn_refus_upm_blanches_1924 model_type : caffe list file need : ['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file exist in s3 : ['caffemodel', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file manque in s3 : ['deploy_conv_normal.prototxt', 'deploy_fc.prototxt'] local folder : /data/models_weight/learn_refus_upm_blanches_1924 /data/models_weight/learn_refus_upm_blanches_1924/caffemodel size_local : 45774543 size in s3 : 45774543 create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04 caffemodel already exist and didn't need to update /data/models_weight/learn_refus_upm_blanches_1924/deploy.prototxt size_local : 17312 size in s3 : 17312 create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:03 deploy.prototxt already exist and didn't need to update /data/models_weight/learn_refus_upm_blanches_1924/mean.npy size_local : 1572992 size in s3 : 1572992 create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:05 mean.npy already exist and didn't need to update /data/models_weight/learn_refus_upm_blanches_1924/synset_words.txt size_local : 218 size in s3 : 218 create time local : 2021-08-09 05:29:53 create time in s3 : 2021-08-06 19:36:04 synset_words.txt already exist and didn't need to update reshape net's input to : (224, 224) origin shape : (10, 3, 224, 224) after reshape : (1, 3, 224, 224) [('data', (1, 3, 224, 224)), ('conv1', (1, 64, 112, 112)), ('pool1', (1, 64, 56, 56)), ('pool1_pool1_0_split_0', (1, 64, 56, 56)), ('pool1_pool1_0_split_1', (1, 64, 56, 56)), ('res2a_branch1', (1, 64, 56, 56)), ('res2a_branch2a', (1, 64, 56, 56)), ('res2a_branch2b', (1, 64, 56, 56)), ('res2a', (1, 64, 56, 56)), ('res2a_res2a_relu_0_split_0', (1, 64, 56, 56)), ('res2a_res2a_relu_0_split_1', (1, 64, 56, 56)), ('res2b_branch2a', (1, 64, 56, 56)), ('res2b_branch2b', (1, 64, 56, 56)), ('res2b', (1, 64, 56, 56)), ('res2b_res2b_relu_0_split_0', (1, 64, 56, 56)), ('res2b_res2b_relu_0_split_1', (1, 64, 56, 56)), ('res3a_branch1', (1, 128, 28, 28)), ('res3a_branch2a', (1, 128, 28, 28)), ('res3a_branch2b', (1, 128, 28, 28)), ('res3a', (1, 128, 28, 28)), ('res3a_res3a_relu_0_split_0', (1, 128, 28, 28)), ('res3a_res3a_relu_0_split_1', (1, 128, 28, 28)), ('res3b_branch2a', (1, 128, 28, 28)), ('res3b_branch2b', (1, 128, 28, 28)), ('res3b', (1, 128, 28, 28)), ('res3b_res3b_relu_0_split_0', (1, 128, 28, 28)), ('res3b_res3b_relu_0_split_1', (1, 128, 28, 28)), ('res4a_branch1', (1, 256, 14, 14)), ('res4a_branch2a', (1, 256, 14, 14)), ('res4a_branch2b', (1, 256, 14, 14)), ('res4a', (1, 256, 14, 14)), ('res4a_res4a_relu_0_split_0', (1, 256, 14, 14)), ('res4a_res4a_relu_0_split_1', (1, 256, 14, 14)), ('res4b_branch2a', (1, 256, 14, 14)), ('res4b_branch2b', (1, 256, 14, 14)), ('res4b', (1, 256, 14, 14)), ('res4b_res4b_relu_0_split_0', (1, 256, 14, 14)), ('res4b_res4b_relu_0_split_1', (1, 256, 14, 14)), ('res5a_branch1', (1, 512, 7, 7)), ('res5a_branch2a', (1, 512, 7, 7)), ('res5a_branch2b', (1, 512, 7, 7)), ('res5a', (1, 512, 7, 7)), ('res5a_res5a_relu_0_split_0', (1, 512, 7, 7)), ('res5a_res5a_relu_0_split_1', (1, 512, 7, 7)), ('res5b_branch2a', (1, 512, 7, 7)), ('res5b_branch2b', (1, 512, 7, 7)), ('res5b', (1, 512, 7, 7)), ('fc2019-10-22_15-02-46', (1, 10, 1, 1)), ('prob', (1, 10, 1, 1))] set image transformer : About to compute detect the points : len(args) : 2 Inside predict_points step exec : nb paths : 1 treate image : temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg size of numpy array img : 2960752 scale method : caffe/skimage size of numpy array img_scale : 2655880 (416, 532, 3) nb_h 7 nb_w 11 size of sub images : (224, 224, 3) size of caffe_input : 46362776 (77, 3, 224, 224) time to do the preprocess : 0.05043983459472656 time to do a prediction : 16.021111011505127 dict_keys(['prob']) shape of output (77, 10, 1, 1) shape of the out_put heatmap (10, 7, 11) number of sub_photos vertical and horizon 7 11 size of heatmap : (7,11) size of heatmap : (7,11) size of heatmap : (7,11) size of heatmap : (7,11) size of heatmap : (7,11) size of heatmap : (7,11) size of heatmap : (7,11) size of heatmap : (7,11) size of heatmap : (7,11) size of heatmap : (7,11) After datou_step_exec type output : map_portfolio_photo : len 1 keys : dict_keys([1902940]) Inside saveOutput : final : False verbose : True Inside savePoints : final : False verbose : True threshold to save the result : 0.05 maximun points to save in the table mtr_datou_result for each class : 100 output flattener 5 example : {1350609140: [(1350609140, 1945, 'Autre_Environement', 185, -1, 118, -1, 1.8337410438107327e-05), (1350609140, 1945, 'Autre_Environement', 320, -1, 118, -1, 0.0001291327498620376), (1350609140, 1945, 'Autre_Environement', 388, -1, 151, -1, 1.3445685908664018e-05), (1350609140, 1945, 'Autre_Environement', 286, -1, 185, -1, 0.00013466527161654085), (1350609140, 1945, 'Autre_Environement', 118, -1, 219, -1, 9.86390750767896e-06), (1350609140, 1945, 'Autre_Environement', 219, -1, 219, -1, 0.00038494516047649086), (1350609140, 1945, 'Autre_Environement', 354, -1, 219, -1, 0.0003431888180784881), (1350609140, 1945, 'Autre_Environement', 421, -1, 253, -1, 1.494663450785083e-07), (1350609140, 1945, 'Autre_Environement', 185, -1, 286, -1, 1.814520658172114e-07), (1350609140, 1945, 'Autre_Environement', 320, -1, 286, -1, 4.115241154067917e-06), (1350609140, 1945, 'Autre_Environement', 118, -1, 320, -1, 2.5274063397695556e-10), (1350609140, 1945, 'Autre_Environement', 253, -1, 320, -1, 1.0447603199237321e-10), (1350609140, 1945, 'Autre_Environement', 388, -1, 320, -1, 4.5192118136583304e-07), (1350609140, 1945, 'Carton', 151, -1, 118, -1, 0.9897055625915527), (1350609140, 1945, 'Carton', 286, -1, 118, -1, 0.8210961222648621), (1350609140, 1945, 'Carton', 421, -1, 118, -1, 0.4851985573768616), (1350609140, 1945, 'Carton', 219, -1, 151, -1, 0.9841372966766357), (1350609140, 1945, 'Carton', 118, -1, 185, -1, 0.9978604912757874), (1350609140, 1945, 'Carton', 185, -1, 219, -1, 0.7996194958686829), (1350609140, 1945, 'Carton', 354, -1, 219, -1, 0.13047637045383453), (1350609140, 1945, 'Carton', 286, -1, 253, -1, 0.05070793256163597), (1350609140, 1945, 'Carton', 118, -1, 286, -1, 0.31989040970802307), (1350609140, 1945, 'Carton', 219, -1, 286, -1, 0.0034983144141733646), (1350609140, 1945, 'Carton', 421, -1, 286, -1, 0.01660206913948059), (1350609140, 1945, 'Carton', 354, -1, 320, -1, 0.0016258988762274384), (1350609140, 1945, 'Kraft', 185, -1, 118, -1, 0.004793279338628054), (1350609140, 1945, 'Kraft', 286, -1, 118, -1, 0.0023909551091492176), (1350609140, 1945, 'Kraft', 421, -1, 118, -1, 0.002102428814396262), (1350609140, 1945, 'Kraft', 354, -1, 151, -1, 0.05212335288524628), (1350609140, 1945, 'Kraft', 118, -1, 185, -1, 0.0017166697653010488), (1350609140, 1945, 'Kraft', 253, -1, 185, -1, 0.04599893465638161), (1350609140, 1945, 'Kraft', 185, -1, 219, -1, 0.021099306643009186), (1350609140, 1945, 'Kraft', 388, -1, 219, -1, 6.061792737455107e-05), (1350609140, 1945, 'Kraft', 286, -1, 253, -1, 0.0037522290367633104), (1350609140, 1945, 'Kraft', 118, -1, 286, -1, 0.010319208726286888), (1350609140, 1945, 'Kraft', 219, -1, 286, -1, 5.351284926291555e-05), (1350609140, 1945, 'Kraft', 421, -1, 286, -1, 9.467339623370208e-06), (1350609140, 1945, 'Kraft', 320, -1, 320, -1, 0.00017124204896390438), (1350609140, 1945, 'Lointain_Papier_Magazine', 185, -1, 118, -1, 2.352082447032444e-06), (1350609140, 1945, 'Lointain_Papier_Magazine', 320, -1, 118, -1, 1.991412864299491e-05), (1350609140, 1945, 'Lointain_Papier_Magazine', 253, -1, 151, -1, 1.1851832823595032e-05), (1350609140, 1945, 'Lointain_Papier_Magazine', 354, -1, 185, -1, 8.877575601218268e-05), (1350609140, 1945, 'Lointain_Papier_Magazine', 118, -1, 219, -1, 2.1015976017224602e-06), (1350609140, 1945, 'Lointain_Papier_Magazine', 219, -1, 219, -1, 7.86672972026281e-05), (1350609140, 1945, 'Lointain_Papier_Magazine', 421, -1, 219, -1, 5.019426794206083e-07), (1350609140, 1945, 'Lointain_Papier_Magazine', 320, -1, 253, -1, 8.220934978453442e-05), (1350609140, 1945, 'Lointain_Papier_Magazine', 185, -1, 286, -1, 3.6812457437918056e-07), (1350609140, 1945, 'Lointain_Papier_Magazine', 388, -1, 286, -1, 3.3782250739022857e-06), (1350609140, 1945, 'Lointain_Papier_Magazine', 118, -1, 320, -1, 3.5824958555252806e-09), (1350609140, 1945, 'Lointain_Papier_Magazine', 286, -1, 320, -1, 1.2866975396264024e-07), (1350609140, 1945, 'Metal', 185, -1, 118, -1, 7.473808364011347e-05), (1350609140, 1945, 'Metal', 286, -1, 118, -1, 3.432366065680981e-05), (1350609140, 1945, 'Metal', 118, -1, 151, -1, 1.1519473446242046e-06), (1350609140, 1945, 'Metal', 354, -1, 151, -1, 0.001217490527778864), (1350609140, 1945, 'Metal', 253, -1, 185, -1, 0.001836584648117423), (1350609140, 1945, 'Metal', 421, -1, 185, -1, 3.084278432652354e-05), (1350609140, 1945, 'Metal', 185, -1, 219, -1, 0.0011127882171422243), (1350609140, 1945, 'Metal', 118, -1, 253, -1, 2.7215228328714147e-05), (1350609140, 1945, 'Metal', 354, -1, 253, -1, 0.0005037166411057115), (1350609140, 1945, 'Metal', 219, -1, 286, -1, 1.657771281315945e-05), (1350609140, 1945, 'Metal', 421, -1, 286, -1, 2.2439740860136226e-05), (1350609140, 1945, 'Metal', 151, -1, 320, -1, 1.393576087860282e-10), (1350609140, 1945, 'Metal', 320, -1, 320, -1, 3.1560623028781265e-05), (1350609140, 1945, 'Papier_Magazine', 118, -1, 118, -1, 0.001665871823206544), (1350609140, 1945, 'Papier_Magazine', 253, -1, 118, -1, 0.28050497174263), (1350609140, 1945, 'Papier_Magazine', 185, -1, 151, -1, 0.003942570183426142), (1350609140, 1945, 'Papier_Magazine', 421, -1, 151, -1, 0.9828073978424072), (1350609140, 1945, 'Papier_Magazine', 354, -1, 185, -1, 0.7690255045890808), (1350609140, 1945, 'Papier_Magazine', 286, -1, 219, -1, 0.9288092851638794), (1350609140, 1945, 'Papier_Magazine', 118, -1, 253, -1, 0.04313919320702553), (1350609140, 1945, 'Papier_Magazine', 219, -1, 253, -1, 0.8978631496429443), (1350609140, 1945, 'Papier_Magazine', 388, -1, 253, -1, 0.9886879324913025), (1350609140, 1945, 'Papier_Magazine', 151, -1, 320, -1, 0.9999996423721313), (1350609140, 1945, 'Papier_Magazine', 253, -1, 320, -1, 0.9999960660934448), (1350609140, 1945, 'Papier_Magazine', 354, -1, 320, -1, 0.9942159056663513), (1350609140, 1945, 'Plastique', 118, -1, 118, -1, 1.236031312146224e-05), (1350609140, 1945, 'Plastique', 219, -1, 118, -1, 0.00030184732167981565), (1350609140, 1945, 'Plastique', 320, -1, 118, -1, 0.0002493929350748658), (1350609140, 1945, 'Plastique', 253, -1, 185, -1, 0.007031592074781656), (1350609140, 1945, 'Plastique', 354, -1, 185, -1, 0.032503753900527954), (1350609140, 1945, 'Plastique', 185, -1, 219, -1, 0.050375860184431076), (1350609140, 1945, 'Plastique', 421, -1, 219, -1, 0.00012226666149217635), (1350609140, 1945, 'Plastique', 118, -1, 253, -1, 0.003930176142603159), (1350609140, 1945, 'Plastique', 286, -1, 253, -1, 0.0025490771513432264), (1350609140, 1945, 'Plastique', 219, -1, 286, -1, 6.120907346485183e-05), (1350609140, 1945, 'Plastique', 354, -1, 286, -1, 0.00538312504068017), (1350609140, 1945, 'Plastique', 151, -1, 320, -1, 1.8926894773674263e-10), (1350609140, 1945, 'Plastique', 421, -1, 320, -1, 0.00020204381144139916), (1350609140, 1945, 'Sol_Environement', 185, -1, 118, -1, 9.372543900099117e-06), (1350609140, 1945, 'Sol_Environement', 320, -1, 118, -1, 2.7338848667568527e-05), (1350609140, 1945, 'Sol_Environement', 118, -1, 151, -1, 2.5881729470711434e-07), (1350609140, 1945, 'Sol_Environement', 253, -1, 185, -1, 0.00011454988998593763), (1350609140, 1945, 'Sol_Environement', 354, -1, 185, -1, 0.00020838991622440517), (1350609140, 1945, 'Sol_Environement', 185, -1, 219, -1, 9.349620813736692e-05), (1350609140, 1945, 'Sol_Environement', 421, -1, 219, -1, 1.1348908657282664e-07), (1350609140, 1945, 'Sol_Environement', 118, -1, 253, -1, 7.004572921687213e-07), (1350609140, 1945, 'Sol_Environement', 320, -1, 253, -1, 5.724640504922718e-05), (1350609140, 1945, 'Sol_Environement', 219, -1, 286, -1, 3.869550369017816e-08), (1350609140, 1945, 'Sol_Environement', 388, -1, 286, -1, 6.792529802623903e-06), (1350609140, 1945, 'Sol_Environement', 151, -1, 320, -1, 2.6225014184994705e-14), (1350609140, 1945, 'Sol_Environement', 286, -1, 320, -1, 1.5886031690115487e-07), (1350609140, 1945, 'Teint_Dans_La_Masse', 185, -1, 118, -1, 0.002272234996780753), (1350609140, 1945, 'Teint_Dans_La_Masse', 286, -1, 118, -1, 0.001813237671740353), (1350609140, 1945, 'Teint_Dans_La_Masse', 388, -1, 118, -1, 0.04538803920149803), (1350609140, 1945, 'Teint_Dans_La_Masse', 118, -1, 151, -1, 0.00010940170614048839), (1350609140, 1945, 'Teint_Dans_La_Masse', 253, -1, 185, -1, 0.0056123328395187855), (1350609140, 1945, 'Teint_Dans_La_Masse', 354, -1, 185, -1, 0.15166763961315155), (1350609140, 1945, 'Teint_Dans_La_Masse', 185, -1, 219, -1, 0.0013750138459727168), (1350609140, 1945, 'Teint_Dans_La_Masse', 118, -1, 253, -1, 6.252125604078174e-05), (1350609140, 1945, 'Teint_Dans_La_Masse', 286, -1, 253, -1, 0.0018639108166098595), (1350609140, 1945, 'Teint_Dans_La_Masse', 388, -1, 253, -1, 0.001438076258637011), (1350609140, 1945, 'Teint_Dans_La_Masse', 219, -1, 286, -1, 1.016586884361459e-05), (1350609140, 1945, 'Teint_Dans_La_Masse', 151, -1, 320, -1, 3.425693932967988e-07), (1350609140, 1945, 'Teint_Dans_La_Masse', 320, -1, 320, -1, 0.0020001486409455538), (1350609140, 1945, 'Teint_Dans_La_Masse', 421, -1, 320, -1, 8.311669807881117e-05), (1350609140, 1945, 'autre_refus', 185, -1, 118, -1, 0.028516046702861786), (1350609140, 1945, 'autre_refus', 354, -1, 118, -1, 0.0014720888575538993), (1350609140, 1945, 'autre_refus', 118, -1, 151, -1, 3.824138184427284e-05), (1350609140, 1945, 'autre_refus', 253, -1, 185, -1, 0.07516990602016449), (1350609140, 1945, 'autre_refus', 185, -1, 219, -1, 0.010234796442091465), (1350609140, 1945, 'autre_refus', 354, -1, 219, -1, 0.04460597038269043), (1350609140, 1945, 'autre_refus', 118, -1, 253, -1, 0.00015751634782645851), (1350609140, 1945, 'autre_refus', 286, -1, 253, -1, 0.01393966656178236), (1350609140, 1945, 'autre_refus', 219, -1, 286, -1, 4.3672833271557465e-05), (1350609140, 1945, 'autre_refus', 388, -1, 286, -1, 0.0030952864326536655), (1350609140, 1945, 'autre_refus', 151, -1, 320, -1, 1.5080686699420198e-10), (1350609140, 1945, 'autre_refus', 320, -1, 320, -1, 0.0030849112663418055)]} hashtag or score ? = 0.9897055625915527 hashtag or score ? = 0.8210961222648621 hashtag or score ? = 0.4851985573768616 hashtag or score ? = 0.9841372966766357 hashtag or score ? = 0.9978604912757874 hashtag or score ? = 0.7996194958686829 hashtag or score ? = 0.13047637045383453 hashtag or score ? = 0.05070793256163597 hashtag or score ? = 0.31989040970802307 hashtag or score ? = 0.05212335288524628 hashtag or score ? = 0.28050497174263 hashtag or score ? = 0.9828073978424072 hashtag or score ? = 0.7690255045890808 hashtag or score ? = 0.9288092851638794 hashtag or score ? = 0.8978631496429443 hashtag or score ? = 0.9886879324913025 hashtag or score ? = 0.9999996423721313 hashtag or score ? = 0.9999960660934448 hashtag or score ? = 0.9942159056663513 hashtag or score ? = 0.050375860184431076 hashtag or score ? = 0.15166763961315155 hashtag or score ? = 0.07516990602016449 insert ignore into MTRPhoto.crop_hashtag_ids (photo_id, hashtag_id, `type`,x0,x1,y0,y1,score) VALUES (%s,%s,%s,%s,%s,%s,%s,%s) [('1350609140', '492774966', '1945', '151', '-1', '118', '-1', '0.9897055625915527'), ('1350609140', '492774966', '1945', '286', '-1', '118', '-1', '0.8210961222648621'), ('1350609140', '492774966', '1945', '421', '-1', '118', '-1', '0.4851985573768616'), ('1350609140', '492774966', '1945', '219', '-1', '151', '-1', '0.9841372966766357'), ('1350609140', '492774966', '1945', '118', '-1', '185', '-1', '0.9978604912757874'), ('1350609140', '492774966', '1945', '185', '-1', '219', '-1', '0.7996194958686829'), ('1350609140', '492774966', '1945', '354', '-1', '219', '-1', '0.13047637045383453'), ('1350609140', '492774966', '1945', '286', '-1', '253', '-1', '0.05070793256163597'), ('1350609140', '492774966', '1945', '118', '-1', '286', '-1', '0.31989040970802307'), ('1350609140', '493202403', '1945', '354', '-1', '151', '-1', '0.05212335288524628'), ('1350609140', '2107752386', '1945', '253', '-1', '118', '-1', '0.28050497174263'), ('1350609140', '2107752386', '1945', '421', '-1', '151', '-1', '0.9828073978424072'), ('1350609140', '2107752386', '1945', '354', '-1', '185', '-1', '0.7690255045890808'), ('1350609140', '2107752386', '1945', '286', '-1', '219', '-1', '0.9288092851638794'), ('1350609140', '2107752386', '1945', '219', '-1', '253', '-1', '0.8978631496429443'), ('1350609140', '2107752386', '1945', '388', '-1', '253', '-1', '0.9886879324913025'), ('1350609140', '2107752386', '1945', '151', '-1', '320', '-1', '0.9999996423721313'), ('1350609140', '2107752386', '1945', '253', '-1', '320', '-1', '0.9999960660934448'), ('1350609140', '2107752386', '1945', '354', '-1', '320', '-1', '0.9942159056663513'), ('1350609140', '492725882', '1945', '185', '-1', '219', '-1', '0.050375860184431076'), ('1350609140', '2107752385', '1945', '354', '-1', '185', '-1', '0.15166763961315155'), ('1350609140', '2107752406', '1945', '253', '-1', '185', '-1', '0.07516990602016449')] final : False save missing photos in datou_result : time spend for datou_step_exec : 17.145171403884888 time spend to save output : 0.06747865676879883 total time spend for step 3 : 17.212650060653687 step4:count_percent_refus Thu Apr 17 03:41:36 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 : {'987321136': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]} input_args_next_step : {'987321136': ()} output_args : {'987321136': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]} args : 987321136 depend.output_id : 1 complete output_args for input 1 : {'1350609140': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg']} input_args_next_step : {'987321136': (987321136,), '1350609140': ()} output_args : {'1350609140': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg']} args : 1350609140 depend.output_id : 0 complete output_args for input 2 : {'987321136': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]} input_args_next_step : {'987321136': (987321136,), '1350609140': ('temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg',)} output_args : {'987321136': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]} args : 987321136 depend.output_id : 2 VR 22-3-18 : For now we do not clean correctly the datou structure input_args_next_step, len :2, first value : (987321136, 0.9481481481481482) After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136, 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg': 1350609140} map_photo_id_path_extension : {987321136: {'path': 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}, 1350609140: {'path': 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg'}} map_subphoto_mainphoto : {0: 987321136, 1350609140: 987321136} debut step count percent refus args : {'987321136': (987321136, 0.9481481481481482), '1350609140': ('temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg',)} (987321136, 0.9481481481481482) ('temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg',) on trouve le portfolio_id = 1902940 list_photo : [987321136] list_photo_correc : [1350609140] debut step count percent refus Treating photo_id : 987321136 Calcul du count_res count res : ((492774966, 3), (2107752386, 7)) Hashtag_id : 492774966 Hashtag_id : 2107752386 We have 2 classes in this image After datou_step_exec type output : map_portfolio_photo : len 1 keys : dict_keys([1902940]) Inside saveOutput : final : False verbose : True map_info[mapportfolio_photo] : {1902940: [987321136]} dans le for photo id : 987321136 output[photo_id] : [({'carton': 3, 'Papier_Magazine': 7}, [1350609140], {'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}, {'refus_total': 61.64383561643836, 'carton': 61.64383561643836, 'Papier_Magazine': 38.35616438356164}, 1902940)] begin to insert list_values into mtr_datou_result : length of list_values in save_final : 6 insert into MTRLabel.upm_carac (ol,type_carac,portfolio_id,value,material,hashtag_type) values (0,'qualipapia_surface',1902940,30.0,'refus_total',1945) on duplicate key update value= 30.0 list_values : [['0', 'qualipapia_surface', 1902940, 30.0, 'refus_total', 1945]] insert into MTRLabel.upm_carac (ol,type_carac,portfolio_id,value,material,hashtag_type) values (0,'qualipapia_gravi',1902940,61.64383561643836,'refus_total',1945) on duplicate key update value= 61.64383561643836 list_values : [['0', 'qualipapia_surface', 1902940, 30.0, 'refus_total', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'refus_total', 1945]] insert into MTRLabel.upm_carac (ol,type_carac,portfolio_id,value,material,hashtag_type) values (0,'qualipapia_surface',1902940,30.0,'carton',1945) on duplicate key update value= 30.0 list_values : [['0', 'qualipapia_surface', 1902940, 30.0, 'refus_total', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'refus_total', 1945], ['0', 'qualipapia_surface', 1902940, 30.0, 'carton', 1945]] insert into MTRLabel.upm_carac (ol,type_carac,portfolio_id,value,material,hashtag_type) values (0,'qualipapia_gravi',1902940,61.64383561643836,'carton',1945) on duplicate key update value= 61.64383561643836 list_values : [['0', 'qualipapia_surface', 1902940, 30.0, 'refus_total', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'refus_total', 1945], ['0', 'qualipapia_surface', 1902940, 30.0, 'carton', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'carton', 1945]] insert into MTRLabel.upm_carac (ol,type_carac,portfolio_id,value,material,hashtag_type) values (0,'qualipapia_surface',1902940,70.0,'Papier_Magazine',1945) on duplicate key update value= 70.0 list_values : [['0', 'qualipapia_surface', 1902940, 30.0, 'refus_total', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'refus_total', 1945], ['0', 'qualipapia_surface', 1902940, 30.0, 'carton', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'carton', 1945], ['0', 'qualipapia_surface', 1902940, 70.0, 'Papier_Magazine', 1945]] insert into MTRLabel.upm_carac (ol,type_carac,portfolio_id,value,material,hashtag_type) values (0,'qualipapia_gravi',1902940,38.35616438356164,'Papier_Magazine',1945) on duplicate key update value= 38.35616438356164 list_values : [['0', 'qualipapia_surface', 1902940, 30.0, 'refus_total', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'refus_total', 1945], ['0', 'qualipapia_surface', 1902940, 30.0, 'carton', 1945], ['0', 'qualipapia_gravi', 1902940, 61.64383561643836, 'carton', 1945], ['0', 'qualipapia_surface', 1902940, 70.0, 'Papier_Magazine', 1945], ['0', 'qualipapia_gravi', 1902940, 38.35616438356164, 'Papier_Magazine', 1945]] time used for this insertion : 0.05361342430114746 save missing photos in datou_result : time spend for datou_step_exec : 0.021204710006713867 time spend to save output : 0.053887128829956055 total time spend for step 4 : 0.07509183883666992 step5:brightness Thu Apr 17 03:41:36 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 : {'987321136': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]} input_args_next_step : {'987321136': ()} output_args : {'987321136': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]} args : 987321136 depend.output_id : 0 VR 22-3-18 : For now we do not clean correctly the datou structure input_args_next_step, len :1, first value : ('temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg',) After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136, 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg': 1350609140} map_photo_id_path_extension : {987321136: {'path': 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}, 1350609140: {'path': 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg'}} map_subphoto_mainphoto : {0: 987321136, 1350609140: 987321136} inside step calcul brightness treat image : temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg pour la photo_id : -0.39870825574700136, le score de luminosite est de 987321136 brightness_score : {987321136: [(987321136, -0.39870825574700136, 496442774)]} After datou_step_exec type output : map_portfolio_photo : len 1 keys : dict_keys([1902940]) Inside saveOutput : final : False verbose : True select photo_hashtag_type from MTRDatou.classification_theme where id = 1154 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 1 insert into MTRPhoto.class_photo_score (thcl, photo_id, hashtag_id, score) values (%s,%s,%s,%s) on duplicate key update score = values(score) time used for this insertion : 0.007822275161743164 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 1 insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) first line : ('987321136', '496442774', '1426') ... last line : ('987321136', '496442774', '1426') time used for this insertion : 0.011916160583496094 save missing photos in datou_result : time spend for datou_step_exec : 0.06938934326171875 time spend to save output : 0.02457261085510254 total time spend for step 5 : 0.09396195411682129 step6:blur_detection Thu Apr 17 03:41:36 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 : {'987321136': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]} input_args_next_step : {'987321136': ()} output_args : {'987321136': ['temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 987321136, 0.9481481481481482]} args : 987321136 depend.output_id : 0 VR 22-3-18 : For now we do not clean correctly the datou structure input_args_next_step, len :1, first value : ('temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg',) After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136, 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg': 1350609140} map_photo_id_path_extension : {987321136: {'path': 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}, 1350609140: {'path': 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg'}} map_subphoto_mainphoto : {0: 987321136, 1350609140: 987321136} inside step blur_detection score_blur_detection : {} methode: ratio et variance treat image : temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg resize: (439, 562) 987321136 -5.392404060312662 score_blur_detection : {987321136: [(987321136, -5.392404060312662, 492609224)]} After datou_step_exec type output : map_portfolio_photo : len 1 keys : dict_keys([1902940]) Inside saveOutput : final : False verbose : True select photo_hashtag_type from MTRDatou.classification_theme where id = 1055 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 1 insert into MTRPhoto.class_photo_score (thcl, photo_id, hashtag_id, score) values (%s,%s,%s,%s) on duplicate key update score = values(score) time used for this insertion : 0.009611368179321289 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 1 insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) insert ignore into MTRBack.photo_hashtag_ids (photo_id, hashtag_id, type) values (%s,%s,%s) first line : ('987321136', '492609224', '1294') ... last line : ('987321136', '492609224', '1294') time used for this insertion : 0.009150981903076172 save missing photos in datou_result : time spend for datou_step_exec : 0.10845065116882324 time spend to save output : 0.023706436157226562 total time spend for step 6 : 0.1321570873260498 step7:send_mail_dechet Thu Apr 17 03:41:36 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 : {987321136: [(987321136, -5.392404060312662, 492609224)]} input_args_next_step : {987321136: ()} output_args : {987321136: [(987321136, -5.392404060312662, 492609224)]} args : 987321136 depend.output_id : 0 complete output_args for input 1 : {987321136: [(987321136, -0.39870825574700136, 496442774)]} input_args_next_step : {987321136: ((987321136, -5.392404060312662, 492609224),)} output_args : {987321136: [(987321136, -0.39870825574700136, 496442774)]} args : 987321136 depend.output_id : 0 complete output_args for input 2 : {987321136: [({'carton': 3, 'Papier_Magazine': 7}, [1350609140], {'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}, {'refus_total': 61.64383561643836, 'carton': 61.64383561643836, 'Papier_Magazine': 38.35616438356164}, 1902940)]} input_args_next_step : {987321136: ((987321136, -5.392404060312662, 492609224), (987321136, -0.39870825574700136, 496442774))} output_args : {987321136: [({'carton': 3, 'Papier_Magazine': 7}, [1350609140], {'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}, {'refus_total': 61.64383561643836, 'carton': 61.64383561643836, 'Papier_Magazine': 38.35616438356164}, 1902940)]} args : 987321136 depend.output_id : 0 We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure input_args_next_step, len :1, first value : ((987321136, -5.392404060312662, 492609224), (987321136, -0.39870825574700136, 496442774), ({'carton': 3, 'Papier_Magazine': 7}, [1350609140], {'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}, {'refus_total': 61.64383561643836, 'carton': 61.64383561643836, 'Papier_Magazine': 38.35616438356164}, 1902940)) After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg': 987321136, 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg': 1350609140} map_photo_id_path_extension : {987321136: {'path': 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea.jpg', 'extension': 'jpg'}, 1350609140: {'path': 'temp/1744854067_1331777_987321136_6a08497399a24a3041045c21475a90ea_0.jpg'}} map_subphoto_mainphoto : {0: 987321136, 1350609140: 987321136} dans la step send mail dechet list_name : ['one', 'sample', 'debug', 'board', 'détect', 'port'] corps du mail : La photo est trop sombre et nette, merci de reprendre la photo
Lien affichage photo


Dans ces conditions de prise de photo, les résultats sur le tas sont les suivants :
Le pourcentage de matière impropre est de 61.64 %.

Pour plus de détails:

Teint Dans La Masse: 0%.

carton: 61.64%.

metal: 0%.

plastique: 0%.

senders@fotonower.com retour de l'envoi du mail : None After datou_step_exec type output : map_portfolio_photo : len 1 keys : dict_keys([1902940]) Inside saveOutput : final : True verbose : True saveOutput not yet implemented for datou_step.type : send_mail_dechet we use saveGeneral [987321136, 987321136, '1350609140'] map_info['map_portfolio_photo'] : {1902940: [987321136]} final : True mtd_id 1848 list_pids : [987321136, 987321136, '1350609140'] Looping around the photos to save general results len do output : 1 /987321136. before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('1848', None, None, None, None, None, None, None, None) ('1848', '1902940', '987321136', None, None, None, None, None, None) ('1848', None, None, None, None, None, None, None, None) ('1848', '1902940', '987321136', None, None, None, None, None, None) ('1848', None, None, None, None, None, None, None, None) ('1848', None, '1350609140', None, None, None, None, None, None) begin to insert list_values into mtr_datou_result : length of list_values in save_final : 4 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('1848', '1902940', '987321136', "{'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}", None, None, None, None, None), ('1848', None, '1350609140', None, None, None, None, None, None)] time used for this insertion : 0.017630338668823242 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.4283792972564697 time spend to save output : 0.017894983291625977 total time spend for step 7 : 0.4462742805480957 caffe_path_current : About to save ! 2 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 7 output : {987321136: (-110, -0.39870825574700136, -5.392404060312662, 30.0, 61.64383561643836, {'carton': 3, 'Papier_Magazine': 7}, {'refus_total': 30.0, 'carton': 30.0, 'Papier_Magazine': 70.0}, {'refus_total': 61.64383561643836, 'carton': 61.64383561643836, 'Papier_Magazine': 38.35616438356164}, 0.6164383561643836)} ############################### TEST image_temperature_detection ################################ t Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=1807 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=1807 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 1807 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=1807 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : image_temperature_detection list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (984484223) Found this number of photos: 1 ##### Call download_photos : nb_thread : 5 begin to download photo : 984484223 download finish for photo 984484223 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 ##### After load_data_input time to download the photos : 0.1322188377380371 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 1 step1:image_temperature_detection Thu Apr 17 03:41:37 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854097_1331777_984484223_2e25dc219a9a57a9f85bcae482a80c35.jpg': 984484223} map_photo_id_path_extension : {984484223: {'path': 'temp/1744854097_1331777_984484223_2e25dc219a9a57a9f85bcae482a80c35.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} inside step blanche_jaune_detection treat image : temp/1744854097_1331777_984484223_2e25dc219a9a57a9f85bcae482a80c35.jpg 984484223 1.004309911525615 After datou_step_exec type output : time spend for datou_step_exec : 0.2042832374572754 time spend to save output : 6.818771362304688e-05 total time spend for step 1 : 0.20435142517089844 caffe_path_current : About to save ! 0 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {984484223: [(984484223, 1.004309911525615, 492630606)]} {984484223: [(984484223, 1.004309911525615, 492630606)]} ############################### TEST broca ################################ t Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4041 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4041 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4041 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4041 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : split_time_score list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT ph.photo_id, ph.url FROM MTRBack.photos ph WHERE ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (5205529) and hide_status = 0 ) ORDER BY ph.photo_id DESC LIMIT 0, 10000 We have 1 , {} SELECT mtr_photo_id, mtr_portfolio_id FROM MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (5205529) AND hide_status = 0 ORDER by mtr_photo_id desc LIMIT 0, 10000 list_result: [{'photo_id': 1064921404, 'portfolio_id': 5205529}, {'photo_id': 1064921402, 'portfolio_id': 5205529}, {'photo_id': 1064921401, 'portfolio_id': 5205529}, {'photo_id': 1064921201, 'portfolio_id': 5205529}, {'photo_id': 1064921196, 'portfolio_id': 5205529}, {'photo_id': 1064919876, 'portfolio_id': 5205529}, {'photo_id': 1064919873, 'portfolio_id': 5205529}, {'photo_id': 1064919869, 'portfolio_id': 5205529}, {'photo_id': 1064919862, 'portfolio_id': 5205529}, {'photo_id': 1064919858, 'portfolio_id': 5205529}, {'photo_id': 1064919856, 'portfolio_id': 5205529}, {'photo_id': 1064919752, 'portfolio_id': 5205529}, {'photo_id': 1064919748, 'portfolio_id': 5205529}, {'photo_id': 1064919745, 'portfolio_id': 5205529}, {'photo_id': 1064919741, 'portfolio_id': 5205529}, {'photo_id': 1064919737, 'portfolio_id': 5205529}, {'photo_id': 1064919730, 'portfolio_id': 5205529}, {'photo_id': 1064919660, 'portfolio_id': 5205529}] map_portfolio_id_photo_id: {5205529: [1064921404, 1064921402, 1064921401, 1064921201, 1064921196, 1064919876, 1064919873, 1064919869, 1064919862, 1064919858, 1064919856, 1064919752, 1064919748, 1064919745, 1064919741, 1064919737, 1064919730, 1064919660]} ##### Call download_photos : nb_thread : 5 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos ##### After load_data_input time to download the photos : 0.017789125442504883 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load Calling datou_exec Inside datou_exec : verbose : True number of steps : 1 step1:split_time_score Thu Apr 17 03:41:37 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {} map_photo_id_path_extension : {} map_subphoto_mainphoto : {} split portfolio by speed calcul order for each photo with time calcul time for a portfolio query : SELECT photo_id, text FROM MTRBack.photos where photo_id in (SELECT mtr_photo_id FROM MTRUser.mtr_portfolio_photos where mtr_portfolio_id = 5205529); result : ((1064919660, 'image_01122021_10_11_30_014389.jpg'), (1064919730, 'image_01122021_10_12_17_665202.jpg'), (1064919737, 'image_01122021_10_11_40_031052.jpg'), (1064919741, 'image_01122021_10_11_34_021658.jpg'), (1064919745, 'image_01122021_10_11_32_018001.jpg'), (1064919748, 'image_01122021_10_12_27_027057.jpg'), (1064919752, 'image_01122021_10_12_24_005017.jpg'), (1064919856, 'image_01122021_10_13_13_399843.jpg'), (1064919858, 'image_01122021_10_13_04_729164.jpg'), (1064919862, 'image_01122021_10_12_56_581019.jpg'), (1064919869, 'image_01122021_10_12_29_030603.jpg'), (1064919873, 'image_01122021_10_13_30_005720.jpg'), (1064919876, 'image_01122021_10_13_22_147712.jpg'), (1064921196, 'image_01122021_10_16_18_114975.jpg'), (1064921201, 'image_01122021_10_16_14_925132.jpg'), (1064921401, 'image_01122021_10_16_57_981306.jpg'), (1064921402, 'image_01122021_10_16_53_913663.jpg'), (1064921404, 'image_01122021_10_16_47_889875.jpg')) INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `order`) VALUES (%s, %s, %s) on duplicate key update `order`=VALUES(`order`); first line : (5205529, 1064919660, 1098136690) ... last line : (5205529, 1064921404, 1098137007) 2021-12-01 10:11:30 2021-12-01 10:11:32 2021-12-01 10:11:30 2021-12-01 10:11:34 2021-12-01 10:11:32 2021-12-01 10:11:40 2021-12-01 10:11:34 2021-12-01 10:12:17 2021-12-01 10:11:40 2021-12-01 10:12:24 2021-12-01 10:12:17 2021-12-01 10:12:27 2021-12-01 10:12:24 2021-12-01 10:12:29 2021-12-01 10:12:27 2021-12-01 10:12:56 2021-12-01 10:12:29 2021-12-01 10:13:04 2021-12-01 10:12:56 2021-12-01 10:13:13 2021-12-01 10:13:04 2021-12-01 10:13:04 distance 1.4513659170185111 2021-12-01 10:13:13 2021-12-01 10:13:22 2021-12-01 10:13:13 2021-12-01 10:13:30 2021-12-01 10:13:22 2021-12-01 10:16:14 2021-12-01 10:13:30 2021-12-01 10:13:30 distance 8.382409567451603 2021-12-01 10:16:14 2021-12-01 10:16:18 2021-12-01 10:16:14 2021-12-01 10:16:47 2021-12-01 10:16:18 2021-12-01 10:16:53 2021-12-01 10:16:47 2021-12-01 10:16:47 distance 8.03396608896571 2021-12-01 10:16:53 2021-12-01 10:16:57 2021-12-01 10:16:53 dict_time_useful: {0: [1098136690, 1098136784, 48.864288393888884, 2.19199505125, [datetime.datetime(2021, 12, 1, 10, 11, 30), datetime.datetime(2021, 12, 1, 10, 13, 4), 94]], 1: [1098136974, 1098137007, 48.86291258986111, 2.19361357125, [datetime.datetime(2021, 12, 1, 10, 16, 14), datetime.datetime(2021, 12, 1, 10, 16, 47), 33]]} len of dic_time_useful : 2 get gps info of PAV SELECT id,Y_WGS84,X_WGS84 FROM MTRLabel.info_PAV; get gps info of PAV SELECT id,Y_WGS84,X_WGS84 FROM MTRLabel.info_PAV WHERE type_pav = "CS"; get gps info of PAV SELECT id,Y_WGS84,X_WGS84 FROM MTRLabel.info_PAV WHERE type_pav = "OM"; select cs_nb_photo / nb_photo, om_nb_photo / nb_photo from (select sum(1) as nb_photo,sum(if (tags= "[CS]",1,0)) as cs_nb_photo, sum(if (tags= "[OM]",1,0)) as om_nb_photo from MTRBack.photos where photo_id in ()) t1; select cs_nb_photo / nb_photo, om_nb_photo / nb_photo from (select sum(1) as nb_photo,sum(if (tags= "[CS]",1,0)) as cs_nb_photo, sum(if (tags= "[OM]",1,0)) as om_nb_photo from MTRBack.photos where photo_id in (1064919660, 1064919745, 1064919741, 1064919737, 1064919730, 1064919752, 1064919748, 1064919869, 1064919862, 1064919858)) t1; distance: RUEIL14CS [48.864288393888884, 2.19199505125] 16.57008455321128 (22117262, 48.864288393888884, 2.19199505125, 10, 1064919752, [datetime.datetime(2021, 12, 1, 10, 11, 30), datetime.datetime(2021, 12, 1, 10, 13, 4), 94.0], 5205529) After datou_step_exec type output : time spend for datou_step_exec : 0.20348691940307617 time spend to save output : 9.775161743164062e-05 total time spend for step 1 : 0.2035846710205078 caffe_path_current : About to save ! 0 After save, about to update current ! {15: [(22117262, 48.864288393888884, 2.19199505125, 10, 1064919752, [datetime.datetime(2021, 12, 1, 10, 11, 30), datetime.datetime(2021, 12, 1, 10, 13, 4), 94.0], 5205529)]} résultat du premier test BROCA : True True ############################### TEST crop_conditional ################################ t Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=719 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=719 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 719 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=719 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : step 1335 frcnn is not linked in the step_by_step architecture ! WARNING : step 1336 crop_condition is not linked in the step_by_step architecture ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! no param json to modify List Step Type Loaded in datou : frcnn, crop_condition list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT ph.photo_id, ph.url FROM MTRBack.photos ph WHERE ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (1981316) and hide_status = 0 ) ORDER BY ph.photo_id DESC LIMIT 0, 10000 We have 1 , {} SELECT mtr_photo_id, mtr_portfolio_id FROM MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (1981316) AND hide_status = 0 ORDER by mtr_photo_id desc LIMIT 0, 10000 list_result: [{'photo_id': 950003838, 'portfolio_id': 1981316}, {'photo_id': 950003813, 'portfolio_id': 1981316}, {'photo_id': 950003812, 'portfolio_id': 1981316}, {'photo_id': 950003696, 'portfolio_id': 1981316}, {'photo_id': 950003695, 'portfolio_id': 1981316}, {'photo_id': 926687666, 'portfolio_id': 1981316}] map_portfolio_id_photo_id: {1981316: [950003838, 950003813, 950003812, 950003696, 950003695, 926687666]} ##### Call download_photos : nb_thread : 5 begin to download photo : 950003838 begin to download photo : 950003812 begin to download photo : 950003695 download finish for photo 950003838 begin to download photo : 950003813 download finish for photo 950003812 begin to download photo : 950003696 download finish for photo 950003695 begin to download photo : 926687666 download finish for photo 926687666 download finish for photo 950003813 download finish for photo 950003696 we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB ##### After download_photos length of list_filenames : 6 ; length of list_pids : 6 ; length of list_args : 6 ##### After load_data_input time to download the photos : 0.29407715797424316 #### fin chargement data Blocking on flush ? No conitnuing About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : True number of steps : 2 step1:frcnn Thu Apr 17 03:41:38 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854098_1331777_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg': 950003695, 'temp/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg': 926687666, 'temp/1744854098_1331777_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg': 950003838, 'temp/1744854098_1331777_950003813_e28be02dfcce79cce594a390a9911a0a.jpg': 950003813, 'temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg': 950003812, 'temp/1744854098_1331777_950003696_11e3a77b72af4b332d366d98984039c7.jpg': 950003696} map_photo_id_path_extension : {950003695: {'path': 'temp/1744854098_1331777_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg', 'extension': 'jpg'}, 926687666: {'path': 'temp/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg', 'extension': 'jpg'}, 950003838: {'path': 'temp/1744854098_1331777_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg', 'extension': 'jpg'}, 950003813: {'path': 'temp/1744854098_1331777_950003813_e28be02dfcce79cce594a390a9911a0a.jpg', 'extension': 'jpg'}, 950003812: {'path': 'temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg', 'extension': 'jpg'}, 950003696: {'path': 'temp/1744854098_1331777_950003696_11e3a77b72af4b332d366d98984039c7.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou step Faster rcnn ! Inside try reload ! classes : ['background', 'retroviseur', 'roue', 'capot', 'pare-brise', 'vitre', 'phare', 'feu-antibrouillard', 'feu-arriere', 'poignee', 'porte', 'radiateur', 'logo-marque', 'cache-reservoir', 'plaque-immatriculation', 'pot-echappement', 'info-modele', 'essuie-glace', 'pare-choc', 'coffre', 'carrosserie-autre', 'toit', 'logo-roue', 'aile-avant', 'aile-arriere', 'autre'] pht : 757 caffemodel_name (should be vgg16_immat_307 but not used because net loaded outside in the fonction) : {'id': 685, 'mtr_user_id': 31, 'name': 'learn_piece_voiture_0808_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,retroviseur,roue,capot,pare-brise,vitre,phare,feu-antibrouillard,feu-arriere,poignee,porte,radiateur,logo-marque,cache-reservoir,plaque-immatriculation,pot-echappement,info-modele,essuie-glace,pare-choc,coffre,carrosserie-autre,toit,logo-roue,aile-avant,aile-arriere,autre', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 757, 'photo_desc_type': 3800, 'type_classification': 'caffe_faster_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'} To loadFromThcl() model_param file didn't exist model_name : learn_piece_voiture_0808_v2 model_type : caffe_faster_rcnn list file need : ['caffemodel', 'test.prototxt'] file exist in s3 : ['caffemodel', 'test.prototxt'] file manque in s3 : [] local folder : /data/models_weight/learn_piece_voiture_0808_v2 /data/models_weight/learn_piece_voiture_0808_v2/caffemodel size_local : 350215080 size in s3 : 350215080 create time local : 2021-08-09 05:30:22 create time in s3 : 2021-08-06 19:24:16 caffemodel already exist and didn't need to update /data/models_weight/learn_piece_voiture_0808_v2/test.prototxt size_local : 7166 size in s3 : 7166 create time local : 2021-08-09 05:30:22 create time in s3 : 2021-08-06 19:24:16 test.prototxt already exist and didn't need to update prototxt : /data/models_weight/learn_piece_voiture_0808_v2/test.prototxt caffemodel : /data/models_weight/learn_piece_voiture_0808_v2/caffemodel Loaded network /data/models_weight/learn_piece_voiture_0808_v2/caffemodel About to compute detect_faster_rcnn : len(args) : 6 Inside frcnn step exec : nb paths : 6 image_path : temp/1744854098_1331777_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg image_size (2160, 3840, 3) [[[111 118 91] [113 120 93] [115 120 93] ... [ 23 40 37] [ 23 40 37] [ 24 41 38]] [[111 118 91] [112 119 92] [115 120 93] ... [ 23 40 37] [ 23 40 37] [ 23 40 37]] [[113 118 91] [114 119 92] [115 120 93] ... [ 22 39 36] [ 23 40 37] [ 23 40 37]] ... [[120 125 94] [119 124 93] [118 123 92] ... [ 22 36 34] [ 22 36 34] [ 23 37 35]] [[119 124 93] [119 124 93] [118 123 92] ... [ 22 36 34] [ 22 36 34] [ 22 36 34]] [[118 123 91] [117 122 90] [117 122 91] ... [ 22 36 34] [ 22 36 34] [ 22 36 34]]] Detection took 2.567s for 300 object proposals c : aile-arriere list_crops.shape (45, 5) proba : 0.016368102 (3266.7578, 1031.9526, 3839.0, 1714.2793) proba : 0.016077543 (16.38823, 491.1037, 406.77057, 799.8536) proba : 0.012597663 (1997.6678, 259.48947, 2506.435, 848.92957) proba : 0.011018581 (51.391403, 1690.1233, 479.94733, 1966.648) c : aile-avant list_crops.shape (41, 5) c : autre list_crops.shape (46, 5) c : cache-reservoir list_crops.shape (46, 5) c : capot list_crops.shape (38, 5) c : carrosserie-autre list_crops.shape (44, 5) c : coffre list_crops.shape (31, 5) c : essuie-glace list_crops.shape (49, 5) c : feu-antibrouillard list_crops.shape (44, 5) proba : 0.014235263 (3282.5308, 1219.7363, 3793.4375, 1821.3225) proba : 0.012605552 (27.955963, 498.9049, 410.00864, 789.64417) c : feu-arriere list_crops.shape (44, 5) proba : 0.0746709 (7.603058, 454.30002, 376.22046, 791.5923) proba : 0.025197966 (3284.6301, 1151.9357, 3782.611, 1834.0741) proba : 0.011052311 (17.656677, 1586.661, 282.00806, 1995.7521) c : info-modele list_crops.shape (44, 5) proba : 0.01871485 (35.90677, 482.72452, 414.19565, 791.4713) c : logo-marque list_crops.shape (46, 5) proba : 0.017158598 (41.25975, 486.38177, 409.7353, 792.7236) c : logo-roue list_crops.shape (45, 5) c : pare-brise list_crops.shape (38, 5) proba : 0.016610788 (24.739594, 0.0, 388.9833, 684.2969) c : pare-choc list_crops.shape (35, 5) c : phare list_crops.shape (48, 5) c : plaque-immatriculation list_crops.shape (47, 5) proba : 0.025557786 (26.29483, 479.66028, 404.917, 771.07983) proba : 0.016562048 (28.250885, 1620.7134, 299.37018, 1974.5989) proba : 0.014715742 (18.399567, 3.5792923, 386.74146, 255.02939) c : poignee list_crops.shape (43, 5) c : porte list_crops.shape (40, 5) proba : 0.11927929 (1872.7856, 10.21814, 2442.9663, 862.2279) proba : 0.11467695 (2136.5027, 52.976868, 2855.9646, 815.2723) proba : 0.024793522 (3234.8398, 69.6687, 3823.1118, 847.876) proba : 0.013811682 (109.54021, 1835.4897, 459.8424, 2159.0) proba : 0.011389811 (1348.9714, 1049.349, 1927.9333, 1776.9928) proba : 0.011370724 (3314.9746, 1115.5789, 3778.9023, 1883.7583) proba : 0.010760169 (2525.6946, 168.77722, 3531.493, 924.12964) c : pot-echappement list_crops.shape (43, 5) proba : 0.03342846 (5.1140747, 1746.6926, 343.44772, 2019.2859) proba : 0.010659459 (117.175064, 1862.9741, 459.0324, 2155.173) c : radiateur list_crops.shape (43, 5) c : retroviseur list_crops.shape (47, 5) proba : 0.01804314 (3296.5452, 1199.9639, 3787.8953, 1822.4788) proba : 0.013669082 (13.038742, 1748.95, 340.38818, 2015.7698) proba : 0.012992674 (124.42445, 1867.7573, 456.3167, 2150.5212) c : roue list_crops.shape (45, 5) proba : 0.5840869 (3132.754, 1107.5076, 3839.0, 1925.3435) proba : 0.045897484 (3481.3, 1409.8605, 3814.2908, 1997.3707) proba : 0.037305806 (38.596817, 1751.947, 339.53394, 2013.6829) proba : 0.029190416 (3244.3743, 40.528076, 3721.5876, 739.2046) proba : 0.0181842 (3167.0728, 383.68152, 3484.2896, 1016.47424) proba : 0.012431729 (229.06586, 0.0, 685.8004, 557.6306) proba : 0.010359726 (2689.2065, 224.93909, 3238.7866, 934.2788) c : toit list_crops.shape (48, 5) c : vitre list_crops.shape (44, 5) proba : 0.018364254 (23.042542, 0.0, 379.9352, 299.26843) proba : 0.014204209 (3321.1838, 1194.2755, 3770.0984, 1805.7894) We are managing local photo_id image_path : temp/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg image_size (480, 640, 3) [[[36 41 44] [36 41 44] [35 40 43] ... [ 8 10 10] [ 8 10 10] [ 8 10 10]] [[37 42 45] [36 41 44] [35 40 43] ... [ 5 7 7] [ 5 7 7] [ 5 7 7]] [[37 42 45] [36 41 44] [35 40 43] ... [ 3 5 5] [ 4 6 6] [ 4 6 6]] ... [[42 47 50] [41 46 49] [40 45 48] ... [ 8 10 10] [ 8 10 10] [ 8 10 10]] [[41 46 49] [41 46 49] [40 45 48] ... [ 0 2 2] [10 12 12] [22 24 24]] [[40 45 48] [40 45 48] [40 45 48] ... [10 12 12] [17 19 19] [26 28 28]]] Detection took 0.045s for 300 object proposals c : aile-arriere list_crops.shape (32, 5) proba : 0.12727787 (160.85474, 172.84541, 306.20062, 321.39532) proba : 0.011539862 (538.53204, 190.8328, 613.9653, 298.88608) proba : 0.0102525 (197.33005, 160.36847, 490.47537, 311.27026) c : aile-avant list_crops.shape (40, 5) proba : 0.94816154 (161.78691, 149.53818, 330.65015, 343.41718) proba : 0.09028636 (20.761192, 105.88202, 54.775085, 195.62918) proba : 0.022173174 (152.80363, 143.27715, 217.16896, 306.26215) proba : 0.013757491 (320.70123, 330.90704, 439.33118, 414.44562) proba : 0.011395535 (557.76587, 199.6693, 608.6664, 270.50726) c : autre list_crops.shape (36, 5) proba : 0.011427943 (458.2703, 15.297245, 521.14514, 98.99342) c : cache-reservoir list_crops.shape (37, 5) proba : 0.029749027 (470.56616, 21.583435, 531.467, 89.20091) proba : 0.025542311 (368.27313, 265.8574, 446.90063, 331.26755) proba : 0.01492758 (353.33182, 360.48923, 412.48868, 423.13065) proba : 0.014713479 (451.10873, 57.61046, 523.15656, 125.92992) c : capot list_crops.shape (33, 5) proba : 0.9944277 (211.28009, 115.14397, 555.7744, 300.74103) proba : 0.23368217 (65.791145, 24.148905, 285.73337, 46.31675) proba : 0.034849655 (343.23746, 279.9097, 508.20993, 431.92026) proba : 0.01747815 (89.4306, 37.518085, 357.51242, 63.629185) proba : 0.010149846 (424.37662, 246.66731, 564.6207, 357.00525) c : carrosserie-autre list_crops.shape (35, 5) proba : 0.028545758 (454.5431, 25.086067, 523.52246, 121.41209) c : coffre list_crops.shape (31, 5) proba : 0.12968639 (446.4289, 19.307255, 528.3405, 117.91052) proba : 0.10256366 (139.89296, 45.980797, 419.5276, 192.66193) proba : 0.0308601 (269.2924, 162.00201, 553.9431, 348.94342) c : essuie-glace list_crops.shape (40, 5) proba : 0.7894984 (203.86624, 108.23175, 416.75723, 147.35791) proba : 0.14471895 (369.06158, 267.53107, 445.03552, 332.95905) proba : 0.09796222 (391.05853, 261.1874, 527.01434, 318.13065) proba : 0.07721721 (470.4776, 22.209988, 532.0759, 88.022675) proba : 0.035417914 (354.3855, 360.35922, 414.20447, 422.97708) proba : 0.014149122 (114.83859, 22.670918, 335.36917, 42.909786) proba : 0.012225613 (254.57944, 94.72253, 456.8184, 288.5594) proba : 0.01093055 (353.8387, 285.56604, 484.79086, 414.6955) c : feu-antibrouillard list_crops.shape (39, 5) proba : 0.21194354 (341.78372, 363.48306, 404.8497, 430.65836) proba : 0.055870883 (368.66174, 268.62836, 446.4449, 330.09265) proba : 0.025239851 (470.4281, 21.907837, 531.3972, 89.25729) proba : 0.023562556 (389.44705, 264.0463, 529.78955, 316.95987) proba : 0.016474739 (451.485, 58.83982, 522.9094, 125.205864) proba : 0.0105612315 (467.00665, 343.55054, 573.7636, 420.2019) c : feu-arriere list_crops.shape (39, 5) proba : 0.101646304 (329.67, 259.2599, 456.71774, 315.55048) proba : 0.042252228 (454.30273, 28.768291, 522.91296, 104.10016) proba : 0.02524759 (333.5109, 352.8448, 405.06076, 425.97443) proba : 0.010688079 (475.56622, 341.54013, 575.4427, 420.15152) c : info-modele list_crops.shape (36, 5) proba : 0.070469916 (470.48868, 21.813938, 532.04443, 89.57283) proba : 0.038774017 (353.82898, 361.54092, 412.9959, 422.85287) proba : 0.033352565 (368.7073, 266.81415, 448.2435, 331.62982) proba : 0.023053624 (450.83902, 57.470566, 524.069, 126.338745) proba : 0.015797716 (390.14102, 260.8506, 533.17065, 317.5346) c : logo-marque list_crops.shape (39, 5) proba : 0.11936579 (352.9693, 361.31393, 412.5313, 422.70078) proba : 0.032979924 (470.55594, 20.778442, 530.9608, 88.801796) proba : 0.027513126 (370.81326, 264.58478, 447.20822, 329.64166) proba : 0.025025832 (397.47153, 260.82507, 526.3096, 316.55157) proba : 0.014328813 (584.1553, 0.7487755, 639.0, 70.736176) c : logo-roue list_crops.shape (37, 5) proba : 0.014609021 (353.32275, 360.72882, 413.24725, 423.60657) proba : 0.01322484 (470.34378, 21.60043, 532.06714, 89.58148) c : pare-brise list_crops.shape (35, 5) proba : 0.9569859 (141.0979, 42.465187, 444.09692, 147.77155) proba : 0.10513376 (319.45328, 22.013855, 424.0319, 129.13077) proba : 0.066554375 (453.85464, 19.658878, 523.2724, 91.54587) proba : 0.050990943 (287.21368, 164.05878, 547.3211, 296.73502) proba : 0.023291396 (95.59815, 40.147633, 158.49237, 162.53769) c : pare-choc list_crops.shape (28, 5) proba : 0.94537944 (272.89862, 257.50363, 580.2354, 444.44437) proba : 0.21969254 (233.48993, 224.18646, 397.7641, 411.54767) proba : 0.028823828 (487.97104, 17.562119, 613.4281, 120.578445) proba : 0.028741974 (435.95914, 307.78662, 588.67633, 426.57697) c : phare list_crops.shape (38, 5) proba : 0.77764535 (326.83978, 251.89111, 477.77637, 312.8636) proba : 0.07698756 (328.22092, 359.63727, 410.2429, 426.96704) proba : 0.038827624 (292.80872, 225.13884, 466.7431, 392.34344) proba : 0.033106808 (538.23804, 197.21257, 600.2163, 303.43924) proba : 0.026039585 (466.6497, 20.839993, 531.73804, 84.1189) proba : 0.018858558 (305.60883, 209.47229, 597.7135, 307.11743) proba : 0.014257895 (478.9225, 344.1292, 578.62805, 416.75287) proba : 0.0112915905 (96.669586, 66.985504, 163.91144, 147.69093) c : plaque-immatriculation list_crops.shape (38, 5) proba : 0.23006928 (518.5554, 294.16476, 582.33777, 390.75766) proba : 0.03376815 (438.44446, 271.76062, 568.4207, 386.5609) proba : 0.025870342 (347.18567, 259.77945, 452.8791, 315.94443) proba : 0.021148048 (470.3883, 23.621655, 531.613, 85.379456) c : poignee list_crops.shape (35, 5) proba : 0.054372936 (583.3567, 0.030948639, 639.0, 70.98567) proba : 0.034035243 (470.453, 21.597584, 531.6764, 89.774506) proba : 0.026380727 (353.1713, 360.958, 412.8945, 423.59967) proba : 0.024485456 (368.05392, 266.123, 448.05612, 332.26855) c : porte list_crops.shape (28, 5) proba : 0.98541117 (78.175415, 43.098236, 169.65903, 306.44644) proba : 0.9672455 (33.645752, 44.18036, 90.6486, 241.28915) proba : 0.09153628 (452.36993, 19.604382, 521.08997, 113.53577) proba : 0.034190517 (158.7092, 46.13768, 421.33847, 212.15388) proba : 0.01242749 (436.96768, 223.37698, 575.0615, 403.33023) c : pot-echappement list_crops.shape (37, 5) proba : 0.055537883 (353.82162, 360.70206, 412.2313, 423.33865) proba : 0.018792039 (458.05518, 14.544731, 521.22156, 99.67078) proba : 0.012937814 (584.3939, 0.0, 639.0, 71.100555) proba : 0.0113198655 (466.14563, 340.33984, 575.4005, 420.87817) c : radiateur list_crops.shape (38, 5) c : retroviseur list_crops.shape (38, 5) proba : 0.23812321 (452.1742, 56.79744, 522.1657, 124.12399) proba : 0.20777205 (471.1529, 21.539486, 531.22266, 89.27255) proba : 0.19335563 (369.9019, 266.02112, 447.44705, 332.58765) proba : 0.04561867 (342.49417, 362.45767, 404.12796, 431.03372) proba : 0.026584512 (176.92099, 115.9493, 409.85056, 150.13135) proba : 0.021460412 (584.3822, 0.0, 639.0, 70.689255) proba : 0.013624381 (392.9413, 259.88437, 530.61017, 318.64426) proba : 0.010495587 (101.943886, 73.786606, 164.67856, 158.12636) c : roue list_crops.shape (38, 5) proba : 0.9417776 (187.78563, 271.24344, 306.5102, 426.32986) proba : 0.1353847 (334.87302, 358.32166, 400.077, 428.79797) proba : 0.04978836 (538.7118, 250.99718, 599.9934, 395.2788) proba : 0.03739769 (12.769442, 136.75374, 64.16225, 244.91664) proba : 0.03481207 (549.3052, 192.3883, 605.7942, 305.71265) proba : 0.015742645 (479.68802, 335.91614, 572.4815, 421.26526) c : toit list_crops.shape (34, 5) proba : 0.79195666 (83.63396, 31.277313, 341.39258, 55.135048) c : vitre list_crops.shape (38, 5) proba : 0.98047054 (95.83086, 50.27493, 162.35329, 142.97327) proba : 0.84251225 (42.27646, 43.051865, 91.283005, 114.96521) proba : 0.076692395 (277.41528, 28.772247, 404.65784, 139.54973) proba : 0.06446696 (455.88498, 20.458794, 518.8431, 90.14356) proba : 0.027510216 (148.30289, 51.20489, 356.01456, 112.50868) proba : 0.01317797 (336.19427, 352.38275, 408.22125, 424.23206) proba : 0.012460326 (364.9289, 257.4682, 445.52618, 324.04022) We are managing local photo_id image_path : temp/1744854098_1331777_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 0.030s for 300 object proposals c : aile-arriere list_crops.shape (29, 5) proba : 0.05210033 (104.294876, 64.891335, 245.01921, 262.5949) proba : 0.011475025 (156.04788, 154.27725, 276.97598, 234.77829) proba : 0.010071152 (133.89383, 191.02994, 199.79309, 262.34775) c : aile-avant list_crops.shape (30, 5) proba : 0.16408038 (93.40142, 110.005806, 261.18137, 244.45575) proba : 0.011734169 (153.08719, 215.96095, 224.00296, 288.5537) c : autre list_crops.shape (31, 5) c : cache-reservoir list_crops.shape (30, 5) proba : 0.01679063 (12.162216, 54.52729, 94.04555, 89.23437) c : capot list_crops.shape (24, 5) proba : 0.10150133 (69.29344, 0.0, 280.0044, 54.9123) proba : 0.08460898 (113.76059, 84.13551, 262.94363, 231.19246) proba : 0.040668752 (6.7410126, 36.86303, 96.11398, 92.56599) c : carrosserie-autre list_crops.shape (27, 5) c : coffre list_crops.shape (23, 5) proba : 0.04764695 (53.505547, 0.0, 284.0, 92.37551) proba : 0.03266074 (10.15992, 31.720757, 95.70394, 100.611595) proba : 0.012153279 (235.39497, 155.04282, 284.0, 216.00705) c : essuie-glace list_crops.shape (31, 5) proba : 0.80939555 (149.03516, 63.96395, 284.0, 87.61472) proba : 0.034233563 (13.640541, 56.070663, 92.069695, 89.41574) proba : 0.02068011 (234.30357, 175.75987, 284.0, 231.14915) c : feu-antibrouillard list_crops.shape (33, 5) proba : 0.05568474 (27.496758, 50.04123, 86.947266, 89.45688) proba : 0.018112581 (229.45786, 178.3128, 279.93854, 220.47263) proba : 0.010317814 (206.26312, 260.46304, 253.11871, 293.0) c : feu-arriere list_crops.shape (34, 5) proba : 0.0682878 (27.727467, 49.239624, 86.89516, 88.091995) proba : 0.02400307 (231.78581, 177.13293, 279.9595, 219.17068) c : info-modele list_crops.shape (34, 5) proba : 0.015899867 (27.181038, 48.777843, 87.641, 89.72061) c : logo-marque list_crops.shape (32, 5) proba : 0.010618806 (206.26852, 219.39368, 262.95163, 293.0) c : logo-roue list_crops.shape (30, 5) c : pare-brise list_crops.shape (24, 5) proba : 0.38037133 (84.45098, 0.0, 284.0, 80.62942) proba : 0.06983135 (21.855927, 45.929688, 86.831665, 90.58237) proba : 0.0109225055 (162.29079, 212.50853, 227.27943, 293.0) proba : 0.010167268 (238.71918, 156.77809, 284.0, 216.58849) c : pare-choc list_crops.shape (20, 5) proba : 0.15655503 (75.03955, 12.041813, 284.0, 83.4698) proba : 0.039188735 (173.62704, 206.89339, 284.0, 287.13086) proba : 0.029331397 (3.535263, 39.445263, 99.71056, 103.58792) proba : 0.021779202 (236.46062, 158.8277, 284.0, 219.9404) c : phare list_crops.shape (33, 5) proba : 0.2955039 (16.08575, 55.130432, 94.49298, 86.99957) proba : 0.017165132 (85.86638, 17.958233, 272.2666, 68.44061) proba : 0.013771958 (241.58221, 159.23875, 284.0, 213.74617) proba : 0.011596833 (207.11081, 255.55263, 262.25983, 293.0) c : plaque-immatriculation list_crops.shape (38, 5) proba : 0.13103662 (235.82175, 174.3212, 284.0, 225.21869) proba : 0.039650075 (30.735737, 49.49218, 81.558716, 87.70559) c : poignee list_crops.shape (27, 5) c : porte list_crops.shape (24, 5) proba : 0.59996736 (23.914482, 0.0, 103.21741, 219.54597) proba : 0.028163282 (2.5912437, 0.0, 48.603848, 196.39536) proba : 0.012117857 (103.532745, 0.099845886, 235.17075, 252.15622) c : pot-echappement list_crops.shape (30, 5) proba : 0.021319764 (228.94257, 176.45462, 280.0194, 221.2586) proba : 0.01325697 (208.9188, 255.16246, 263.81396, 293.0) proba : 0.0132410275 (26.96734, 48.156197, 87.178505, 89.945625) c : radiateur list_crops.shape (30, 5) c : retroviseur list_crops.shape (32, 5) proba : 0.037688155 (14.681416, 54.764797, 94.67334, 89.587265) proba : 0.012229222 (210.45903, 255.86539, 263.1132, 293.0) proba : 0.0101433 (231.19063, 176.60622, 279.57257, 220.06242) c : roue list_crops.shape (34, 5) proba : 0.81207997 (146.79666, 218.47404, 218.13376, 292.02368) proba : 0.27982283 (135.77425, 224.51237, 169.61461, 293.0) proba : 0.04485823 (29.876698, 37.66432, 91.51712, 83.938446) proba : 0.02531838 (7.3843994, 0.092977524, 44.254997, 34.973648) proba : 0.01880293 (234.26064, 172.02597, 277.35748, 219.31094) proba : 0.01128116 (206.81865, 251.68657, 258.87265, 293.0) c : toit list_crops.shape (29, 5) c : vitre list_crops.shape (32, 5) proba : 0.1483231 (152.67262, 220.61024, 208.97383, 293.0) proba : 0.034726605 (235.4912, 173.76224, 284.0, 228.0794) proba : 0.030397564 (138.02545, 226.14905, 164.98773, 293.0) proba : 0.018850073 (18.038788, 51.715424, 93.86104, 87.637146) We are managing local photo_id image_path : temp/1744854098_1331777_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 0.029s for 300 object proposals c : aile-arriere list_crops.shape (29, 5) proba : 0.067705385 (98.069626, 150.88132, 151.93864, 223.72354) proba : 0.040919553 (33.359604, 90.135574, 179.13081, 182.83733) proba : 0.016993871 (79.35252, 122.7214, 111.496704, 230.36578) c : aile-avant list_crops.shape (30, 5) proba : 0.048600513 (43.71585, 17.111244, 139.32468, 207.17804) proba : 0.010095491 (62.040184, 104.14494, 183.72339, 182.30766) c : autre list_crops.shape (32, 5) c : cache-reservoir list_crops.shape (33, 5) c : capot list_crops.shape (22, 5) proba : 0.096831135 (38.04281, 75.41989, 207.15451, 166.65909) c : carrosserie-autre list_crops.shape (24, 5) c : coffre list_crops.shape (21, 5) proba : 0.06442384 (165.47498, 115.304214, 226.39886, 165.47694) c : essuie-glace list_crops.shape (34, 5) proba : 0.38609895 (88.26849, 10.883494, 179.58325, 31.355774) proba : 0.04237936 (133.08537, 1.8785334, 227.74294, 26.52906) proba : 0.024031354 (169.25462, 117.38469, 218.9153, 165.4337) proba : 0.010852058 (61.551964, 1.9377422, 117.81747, 33.003304) c : feu-antibrouillard list_crops.shape (32, 5) proba : 0.01959782 (168.92453, 117.953964, 219.5307, 165.85649) c : feu-arriere list_crops.shape (30, 5) proba : 0.022234838 (171.07327, 119.67732, 221.00949, 164.20042) c : info-modele list_crops.shape (31, 5) proba : 0.0102003645 (168.52211, 116.05275, 219.95363, 166.43416) c : logo-marque list_crops.shape (34, 5) proba : 0.015150141 (154.45753, 207.10849, 180.12538, 244.76999) c : logo-roue list_crops.shape (30, 5) c : pare-brise list_crops.shape (27, 5) proba : 0.047092613 (168.768, 117.31413, 222.88724, 165.84227) proba : 0.013605196 (53.460167, 0.0, 178.92004, 22.404263) proba : 0.012164931 (15.943054, 0.0, 44.89682, 48.294716) c : pare-choc list_crops.shape (23, 5) proba : 0.08984886 (166.06523, 118.16057, 226.88026, 168.71373) proba : 0.012226321 (108.19572, 130.85954, 228.0, 249.22548) c : phare list_crops.shape (37, 5) proba : 0.0136899445 (172.01439, 118.39719, 223.30763, 162.23999) c : plaque-immatriculation list_crops.shape (38, 5) proba : 0.0512115 (173.59454, 120.67824, 218.52481, 161.7848) c : poignee list_crops.shape (31, 5) c : porte list_crops.shape (25, 5) proba : 0.039296754 (4.7751923, 0.0, 38.135494, 169.70813) proba : 0.014843894 (170.3252, 112.398636, 220.7059, 170.46446) proba : 0.013459896 (19.338516, 0.0, 92.4532, 176.19597) c : pot-echappement list_crops.shape (31, 5) proba : 0.021787036 (168.56772, 115.56333, 219.4159, 166.48651) proba : 0.016472131 (154.52908, 206.3201, 179.71347, 244.10428) c : radiateur list_crops.shape (30, 5) c : retroviseur list_crops.shape (34, 5) proba : 0.010121274 (169.53543, 116.209274, 219.60449, 166.28905) c : roue list_crops.shape (36, 5) proba : 0.1063374 (83.72266, 166.04526, 133.41669, 253.0) proba : 0.050473824 (73.958664, 164.6685, 104.24199, 236.14494) proba : 0.032676037 (18.137688, 0.0, 45.997726, 33.78546) c : toit list_crops.shape (33, 5) c : vitre list_crops.shape (34, 5) proba : 0.0282958 (20.600689, 0.0, 45.49342, 43.05528) proba : 0.015350068 (170.87436, 118.45918, 221.03384, 164.49498) We are managing local photo_id image_path : temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg image_size (480, 614, 3) [[[ 44 44 44] [ 49 51 51] [ 42 44 44] ... [ 8 10 10] [ 8 10 10] [ 8 10 10]] [[ 43 43 43] [ 36 38 38] [ 39 41 41] ... [ 5 7 7] [ 5 7 7] [ 5 7 7]] [[ 70 70 70] [ 40 42 42] [ 41 43 43] ... [ 4 6 6] [ 4 6 6] [ 4 6 6]] ... [[103 101 101] [110 108 108] [ 61 59 59] ... [ 8 10 10] [ 8 10 10] [ 8 10 10]] [[ 98 96 96] [115 113 113] [ 73 71 71] ... [ 0 2 2] [ 11 13 13] [ 21 23 23]] [[ 92 90 90] [114 112 112] [ 87 82 83] ... [ 10 12 12] [ 18 20 20] [ 25 27 27]]] Detection took 0.038s for 300 object proposals c : aile-arriere list_crops.shape (30, 5) proba : 0.13238655 (133.29529, 172.38998, 280.82672, 321.4983) proba : 0.013276205 (153.19362, 232.50525, 369.76233, 359.78265) c : aile-avant list_crops.shape (35, 5) proba : 0.95040566 (133.96857, 146.1625, 305.77893, 344.49283) proba : 0.020749113 (128.14899, 143.01068, 188.89917, 305.02908) proba : 0.014926924 (294.24344, 331.83655, 412.49808, 415.3291) proba : 0.011195164 (533.05676, 198.27579, 583.49756, 268.45734) proba : 0.010002571 (0.0, 114.21092, 47.59145, 234.00331) c : autre list_crops.shape (36, 5) c : cache-reservoir list_crops.shape (35, 5) proba : 0.025676271 (426.69925, 57.937344, 496.62106, 125.31258) proba : 0.025271904 (342.54333, 266.6139, 421.36798, 330.55957) proba : 0.017258476 (306.4112, 352.4296, 382.6056, 422.0015) c : capot list_crops.shape (32, 5) proba : 0.9904698 (196.73668, 110.37533, 532.5139, 291.9684) proba : 0.2253151 (40.247505, 25.965912, 253.16199, 48.717873) proba : 0.058448434 (318.88562, 286.61212, 481.6015, 427.90564) proba : 0.017971247 (64.42473, 38.410805, 331.29456, 64.356606) proba : 0.010638206 (116.14885, 36.753254, 368.6355, 155.92685) c : carrosserie-autre list_crops.shape (29, 5) proba : 0.03029589 (429.3424, 22.057125, 497.81763, 122.481995) c : coffre list_crops.shape (29, 5) proba : 0.12299339 (421.3317, 15.514782, 501.77542, 119.22365) proba : 0.10115371 (112.75729, 46.269173, 395.27115, 193.29248) proba : 0.062824816 (247.80487, 171.98434, 517.53955, 335.84723) c : essuie-glace list_crops.shape (37, 5) proba : 0.77170986 (178.36783, 109.07592, 389.5618, 147.703) proba : 0.14847797 (343.30273, 268.28952, 419.48663, 332.3488) proba : 0.10085648 (364.4606, 261.51495, 501.23825, 317.85828) proba : 0.047932096 (446.58167, 21.590923, 508.3305, 88.69632) proba : 0.03781421 (328.76028, 360.46112, 389.85794, 423.3349) proba : 0.01470521 (85.602905, 24.015375, 308.106, 43.34725) proba : 0.013856231 (267.03476, 240.33743, 412.95517, 348.48508) proba : 0.012839721 (427.0743, 58.156715, 496.35483, 124.403404) c : feu-antibrouillard list_crops.shape (37, 5) proba : 0.21096864 (307.28006, 354.31326, 381.79544, 421.61044) proba : 0.05684057 (342.88785, 269.36426, 420.8851, 329.44592) proba : 0.02813787 (427.12213, 58.818237, 496.15137, 124.551346) proba : 0.023532202 (362.93726, 264.44147, 504.096, 316.8341) c : feu-arriere list_crops.shape (34, 5) proba : 0.09636512 (303.15143, 259.6369, 431.30133, 316.443) proba : 0.04133032 (428.94705, 25.615368, 497.48447, 104.486984) proba : 0.03446374 (305.47455, 351.55847, 379.5114, 423.9406) c : info-modele list_crops.shape (36, 5) proba : 0.04286178 (306.73883, 353.5143, 383.17554, 421.56064) proba : 0.035219524 (426.5225, 57.95355, 497.442, 125.61296) proba : 0.033360805 (342.98242, 267.55838, 422.70343, 330.90012) proba : 0.016028175 (363.59412, 261.2586, 507.57672, 317.38684) proba : 0.010808955 (445.90057, 19.326786, 507.9972, 91.46228) c : logo-marque list_crops.shape (36, 5) proba : 0.105420396 (327.4337, 361.3264, 387.95615, 423.03458) proba : 0.028342042 (344.98666, 265.38995, 421.65244, 329.0504) proba : 0.02539794 (370.86707, 261.3335, 500.62103, 316.38074) proba : 0.017485315 (427.60062, 57.647873, 496.79062, 125.724) c : logo-roue list_crops.shape (34, 5) proba : 0.0142068975 (327.66263, 360.7192, 388.8018, 424.041) c : pare-brise list_crops.shape (30, 5) proba : 0.9546299 (113.62529, 42.32834, 417.92627, 147.5591) proba : 0.107001245 (294.67844, 24.328339, 399.7065, 129.18114) proba : 0.054105345 (258.49927, 161.25879, 521.593, 295.0413) proba : 0.02762521 (424.62082, 20.860394, 499.57144, 97.2269) proba : 0.017621499 (72.59019, 41.742443, 127.25335, 168.79216) c : pare-choc list_crops.shape (25, 5) proba : 0.94856864 (247.46861, 265.47162, 552.9364, 445.28058) proba : 0.09528805 (194.31998, 225.23476, 348.43143, 419.22888) proba : 0.019610668 (422.4497, 329.61023, 549.5339, 424.81403) proba : 0.014916606 (455.54306, 26.133282, 592.81586, 120.21637) c : phare list_crops.shape (35, 5) proba : 0.678163 (318.18625, 264.64294, 489.94357, 310.62024) proba : 0.40316123 (261.63684, 234.11755, 408.50555, 331.02344) proba : 0.095888235 (301.1048, 356.41714, 385.49835, 425.2344) proba : 0.0146383615 (525.6664, 198.5476, 575.2168, 289.9505) proba : 0.013312331 (427.9925, 23.3303, 501.30103, 100.64869) proba : 0.011497392 (277.7393, 207.80864, 557.2843, 296.8586) c : plaque-immatriculation list_crops.shape (36, 5) proba : 0.19051166 (491.40735, 294.21918, 563.8292, 390.17456) proba : 0.057757568 (439.51434, 291.40866, 531.0478, 407.16653) proba : 0.022954833 (298.98743, 257.4183, 447.54126, 319.1707) proba : 0.01133874 (309.84076, 356.20654, 386.15674, 421.93433) c : poignee list_crops.shape (34, 5) proba : 0.025668727 (327.50882, 360.97052, 388.4728, 424.01904) proba : 0.024165772 (342.3361, 266.88837, 422.51828, 331.5321) proba : 0.021982957 (426.42487, 57.753986, 497.0813, 125.796616) proba : 0.013410401 (559.0073, 0.020671844, 613.0, 71.29207) c : porte list_crops.shape (27, 5) proba : 0.99229604 (51.415802, 40.43834, 152.79482, 306.38702) proba : 0.97203135 (4.567543, 51.349586, 72.87491, 242.47415) proba : 0.05867283 (425.31635, 19.069836, 501.1231, 130.88408) proba : 0.030512061 (132.09113, 46.460052, 397.1678, 213.58475) proba : 0.01453698 (360.29572, 244.28073, 551.6083, 395.62045) c : pot-echappement list_crops.shape (36, 5) proba : 0.050584048 (328.17007, 360.69583, 387.76968, 423.7305) proba : 0.020145614 (427.15625, 57.464172, 496.29572, 125.84146) c : radiateur list_crops.shape (35, 5) c : retroviseur list_crops.shape (35, 5) proba : 0.43155095 (427.40802, 56.7777, 495.94666, 123.668594) proba : 0.18577774 (344.13275, 266.81314, 421.88812, 331.874) proba : 0.11663089 (446.86682, 19.438496, 506.46454, 90.94905) proba : 0.0480312 (316.7072, 363.191, 377.64038, 430.7927) proba : 0.027535977 (150.81252, 116.120285, 381.6007, 150.22145) proba : 0.012783846 (366.32037, 260.309, 504.9325, 318.48453) proba : 0.011192412 (77.32827, 81.656815, 130.1764, 174.47636) c : roue list_crops.shape (37, 5) proba : 0.93756545 (166.73325, 261.12976, 275.2197, 420.8094) proba : 0.14077112 (307.794, 351.35486, 385.35583, 430.9649) proba : 0.11402599 (4.55567, 161.2867, 50.799507, 253.06847) proba : 0.045057192 (513.95135, 252.54102, 573.9196, 393.48285) proba : 0.03706311 (526.667, 191.7768, 581.60095, 303.9076) c : toit list_crops.shape (33, 5) proba : 0.7964247 (58.20302, 31.455273, 316.00928, 55.599964) c : vitre list_crops.shape (33, 5) proba : 0.9803714 (69.39542, 49.350784, 135.83318, 142.42163) proba : 0.89378685 (14.668802, 41.218563, 66.17444, 115.178085) proba : 0.11751992 (205.48929, 48.102985, 379.275, 127.90619) proba : 0.043760765 (428.12424, 21.89355, 499.21182, 97.15451) proba : 0.017627476 (308.70776, 352.47775, 385.68652, 423.24905) proba : 0.012125184 (338.97177, 258.53363, 419.91177, 323.74207) We are managing local photo_id image_path : temp/1744854098_1331777_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 0.964s for 300 object proposals c : aile-arriere list_crops.shape (52, 5) proba : 0.020721301 (396.22748, 192.55818, 703.237, 482.50793) proba : 0.013662119 (2606.485, 1489.7418, 2954.3977, 2131.3945) proba : 0.010281132 (2270.1746, 1651.4268, 2706.3865, 2138.8584) proba : 0.01001892 (2922.7332, 683.26965, 3263.0, 1188.8956) c : aile-avant list_crops.shape (55, 5) proba : 0.025828317 (2616.2065, 1475.3573, 2938.8408, 2144.0332) c : autre list_crops.shape (53, 5) proba : 0.013096861 (405.69397, 192.21985, 689.0907, 476.50458) c : cache-reservoir list_crops.shape (50, 5) proba : 0.029477831 (2629.4756, 1461.0247, 2954.7183, 2148.847) proba : 0.02454202 (299.21368, 89.51265, 716.662, 498.37256) proba : 0.020120611 (2232.05, 676.7733, 2590.5183, 1171.2039) proba : 0.018791227 (2298.386, 1682.8025, 2783.6604, 2156.6445) proba : 0.012401518 (2317.1348, 1436.052, 2614.4814, 1924.9534) proba : 0.012135145 (2925.148, 677.30457, 3258.894, 1209.0409) c : capot list_crops.shape (44, 5) proba : 0.01801025 (2645.9773, 973.0488, 3214.721, 1642.1016) proba : 0.016424326 (77.75183, 795.96655, 694.0055, 1481.1042) c : carrosserie-autre list_crops.shape (45, 5) proba : 0.029315194 (251.717, 0.0, 712.3534, 634.996) proba : 0.013689294 (2284.6958, 1569.4862, 2687.3672, 2159.0) c : coffre list_crops.shape (42, 5) proba : 0.13925886 (283.04382, 0.0, 631.6834, 633.4006) proba : 0.013912303 (1720.584, 507.76614, 2227.8416, 1191.3573) c : essuie-glace list_crops.shape (56, 5) proba : 0.018926864 (320.89017, 110.23653, 601.0017, 462.48364) proba : 0.013812268 (2187.6125, 749.4883, 2497.321, 1214.4448) proba : 0.013556886 (2629.3308, 1462.9358, 2950.868, 2139.6472) proba : 0.013342133 (74.38928, 721.19824, 391.73016, 1112.9515) c : feu-antibrouillard list_crops.shape (52, 5) proba : 0.060857818 (372.09875, 242.49086, 759.4321, 515.9235) proba : 0.018308558 (2928.3796, 694.30963, 3257.6501, 1206.6497) proba : 0.01810292 (2299.5415, 1693.859, 2784.1245, 2158.6946) proba : 0.015858473 (2230.3672, 698.5573, 2591.1729, 1175.2937) proba : 0.01435589 (2630.7505, 1480.9962, 2954.476, 2151.751) proba : 0.011738883 (383.5591, 1437.119, 937.136, 1845.1305) c : feu-arriere list_crops.shape (48, 5) proba : 0.6466891 (354.84906, 213.38231, 730.1606, 532.0534) proba : 0.120330796 (2225.6616, 661.2109, 2605.2212, 1235.9001) proba : 0.07939917 (256.185, 24.242477, 540.24414, 478.12457) proba : 0.06069326 (1807.4286, 656.7434, 2155.9019, 1147.3477) proba : 0.03355983 (2308.1843, 1667.5713, 2786.756, 2159.0) proba : 0.032258753 (2930.4429, 638.0886, 3237.7646, 1243.1915) proba : 0.018529227 (619.94934, 619.24805, 953.74524, 1223.5782) proba : 0.017300598 (2630.6858, 1496.9292, 2955.381, 2159.0) proba : 0.016658826 (2317.2368, 1411.0944, 2618.2642, 1961.695) proba : 0.015816653 (770.62524, 939.72, 1053.5664, 1456.1318) proba : 0.010595719 (2489.4512, 424.49484, 2939.1875, 1234.4323) proba : 0.010263518 (828.0618, 1.9262848, 1174.9619, 369.9054) proba : 0.010094634 (14.197922, 430.91492, 165.10265, 734.0233) c : info-modele list_crops.shape (49, 5) proba : 0.07010126 (403.72815, 194.21458, 693.0526, 475.90332) proba : 0.022201018 (2299.254, 1684.2523, 2787.1133, 2154.6646) proba : 0.019057427 (2232.609, 682.5514, 2592.7412, 1170.8309) proba : 0.017020335 (2630.5835, 1468.2239, 2959.7236, 2151.3455) proba : 0.010882482 (1.7524261, 575.7849, 261.8977, 885.7097) c : logo-marque list_crops.shape (51, 5) proba : 0.051886447 (408.49518, 200.25713, 688.27277, 481.55658) proba : 0.034076206 (2304.7773, 1690.4408, 2793.8872, 2159.0) proba : 0.018233927 (2631.4736, 1489.2572, 2967.9976, 2159.0) proba : 0.013039104 (2236.6895, 683.9112, 2594.5977, 1180.4834) proba : 0.011359424 (2319.9631, 1440.4059, 2621.3855, 1933.8334) c : logo-roue list_crops.shape (52, 5) proba : 0.030219402 (402.78058, 191.06712, 692.75397, 478.26514) proba : 0.02090054 (2230.9314, 677.76404, 2592.723, 1173.995) proba : 0.018411884 (2512.7563, 492.685, 2833.5508, 843.9954) proba : 0.018071992 (2298.683, 1681.3525, 2786.0845, 2156.1257) proba : 0.013550263 (2610.3848, 558.79834, 3007.538, 1178.0138) proba : 0.01327998 (1762.7964, 675.09375, 2234.7065, 1109.9442) proba : 0.012411892 (2317.8032, 1434.3516, 2615.2632, 1928.4221) proba : 0.011196651 (2783.5886, 1527.3961, 3036.1243, 2077.7412) c : pare-brise list_crops.shape (46, 5) proba : 0.054989167 (2411.5837, 398.66748, 2957.362, 1171.5487) proba : 0.045023013 (2240.3499, 634.92676, 2579.2659, 1217.4199) proba : 0.026919622 (1424.8757, 304.9922, 2074.841, 1161.6029) proba : 0.0257002 (312.55292, 97.24298, 605.9246, 472.60223) proba : 0.024200074 (2954.803, 604.7603, 3255.3616, 1264.4822) proba : 0.021961233 (2056.8562, 93.7858, 2392.5027, 713.7069) proba : 0.020825913 (323.82306, 1090.6985, 787.1567, 1678.9507) proba : 0.018577235 (103.62805, 794.4242, 696.1986, 1524.2701) proba : 0.01708287 (2701.8157, 949.385, 3158.238, 1362.8464) proba : 0.011479438 (2240.9023, 3.3489075, 2720.1987, 772.5925) proba : 0.010908401 (1694.8085, 659.7054, 2162.8638, 1116.596) c : pare-choc list_crops.shape (38, 5) proba : 0.106194794 (347.38028, 1367.4327, 1073.0149, 1857.0509) proba : 0.016678052 (1310.3984, 1570.4321, 2576.6196, 2051.2678) proba : 0.010983483 (0.0, 545.1317, 997.969, 1254.1354) proba : 0.010150155 (2850.24, 1465.3898, 3233.6272, 2099.7578) c : phare list_crops.shape (49, 5) proba : 0.06943998 (2930.6914, 682.54443, 3257.6675, 1220.2411) proba : 0.064109944 (310.48822, 118.32359, 715.9473, 508.54022) proba : 0.028805355 (324.5792, 1179.3383, 758.8125, 1634.1957) proba : 0.013004362 (2226.5745, 695.2528, 2603.4382, 1195.8021) proba : 0.011204659 (83.407104, 743.9827, 419.85342, 1117.4738) proba : 0.010502447 (2318.077, 1449.4409, 2631.681, 1922.1321) c : plaque-immatriculation list_crops.shape (55, 5) proba : 0.05737766 (399.6269, 207.96097, 679.60785, 493.9534) proba : 0.04576389 (1744.0809, 665.8694, 2221.151, 1071.6494) proba : 0.023891617 (2294.9834, 1697.752, 2792.1924, 2132.5803) proba : 0.02344546 (2538.795, 1521.5725, 2898.8755, 2073.3535) proba : 0.014001371 (2783.4634, 1564.8683, 3034.8965, 2056.8027) proba : 0.013542073 (2245.3335, 695.2743, 2573.165, 1168.4259) proba : 0.01130073 (2945.942, 676.8959, 3251.018, 1190.9655) c : poignee list_crops.shape (48, 5) proba : 0.05707269 (2629.5107, 1457.6127, 2958.77, 2152.9644) proba : 0.023786185 (2299.0862, 1682.433, 2785.6082, 2157.393) proba : 0.018133467 (2232.17, 677.86346, 2592.0996, 1173.5798) proba : 0.014422353 (403.02338, 191.02963, 692.26666, 478.3815) c : porte list_crops.shape (42, 5) proba : 0.12676047 (2295.5718, 1531.3794, 2685.666, 2159.0) proba : 0.04496024 (2857.5015, 1450.7462, 3263.0, 2033.0133) proba : 0.041269075 (2466.142, 1663.9398, 3030.1978, 2159.0) proba : 0.028296728 (390.16586, 1195.2072, 897.94385, 1796.6537) proba : 0.023547288 (1444.4913, 1494.0891, 2537.7637, 2103.8586) proba : 0.017250787 (311.34402, 15.946075, 609.73755, 659.74524) proba : 0.012648319 (2938.5781, 622.9866, 3247.8066, 1300.4644) c : pot-echappement list_crops.shape (49, 5) proba : 0.03307385 (2632.8525, 1456.6271, 2954.794, 2152.6858) proba : 0.030935295 (2302.4858, 1680.4293, 2781.5728, 2157.6838) proba : 0.015973825 (405.30908, 189.98384, 691.14355, 477.74756) proba : 0.011727911 (67.23935, 695.8226, 394.58777, 1122.9121) proba : 0.011399844 (1748.3528, 537.0478, 2217.0125, 1143.0505) proba : 0.011031619 (2926.5437, 674.9735, 3258.5608, 1211.8673) c : radiateur list_crops.shape (50, 5) c : retroviseur list_crops.shape (52, 5) proba : 0.083668135 (2235.2056, 682.1243, 2591.208, 1175.3992) proba : 0.059495024 (2321.942, 1443.8849, 2613.5674, 1922.5787) proba : 0.043871094 (2937.0747, 682.2761, 3252.6147, 1205.0328) proba : 0.042288646 (2632.6514, 1459.1266, 2953.671, 2146.3115) proba : 0.034087766 (71.96408, 699.83435, 393.31018, 1120.515) proba : 0.03188422 (308.7803, 91.3607, 716.16077, 497.18744) proba : 0.025060154 (2306.4973, 1681.2104, 2777.2512, 2150.37) proba : 0.019790426 (2394.734, 1122.3605, 2636.1577, 1534.4594) proba : 0.018271457 (2293.514, 971.5077, 2576.6184, 1378.5492) proba : 0.016420947 (2956.3508, 1594.2385, 3251.536, 2041.8752) proba : 0.015731044 (10.902718, 573.5236, 252.95602, 882.5069) proba : 0.015467874 (2710.9805, 884.66565, 3001.4248, 1337.11) proba : 0.014100723 (2619.5122, 564.032, 2997.376, 1174.497) proba : 0.013077409 (162.06244, 998.61096, 907.7867, 1740.7074) proba : 0.012830954 (2117.251, 1467.1467, 2431.4883, 2134.755) proba : 0.012180584 (2070.6711, 153.24414, 2426.6072, 695.56793) c : roue list_crops.shape (48, 5) proba : 0.0820933 (2921.282, 638.37744, 3254.5295, 1258.6846) proba : 0.058017004 (2507.5432, 1513.977, 2926.2502, 2083.4473) proba : 0.05731309 (2746.1377, 1692.6024, 3205.857, 2127.3518) proba : 0.038230233 (2267.4536, 1589.351, 2719.9355, 2144.458) proba : 0.029197091 (2521.5903, 448.8118, 3069.207, 1139.646) proba : 0.026407061 (416.59094, 1400.4648, 896.459, 1839.0708) proba : 0.022059364 (258.38165, 30.397247, 777.48944, 579.23193) proba : 0.018165093 (269.5167, 1082.4331, 809.19714, 1696.9341) proba : 0.016238704 (814.9458, 0.0, 1180.137, 343.5951) proba : 0.014415454 (1708.7618, 636.11804, 2206.2207, 1093.4137) proba : 0.011406647 (2210.276, 646.75464, 2617.3384, 1202.6606) c : toit list_crops.shape (51, 5) c : vitre list_crops.shape (47, 5) proba : 0.17965546 (2201.5283, 706.0845, 2505.8027, 1225.6044) proba : 0.13707128 (2332.1946, 1420.2493, 2614.7712, 1932.4609) proba : 0.09206982 (2941.3257, 639.2736, 3238.2437, 1233.3069) proba : 0.047083896 (321.50464, 101.23271, 604.4536, 480.10248) proba : 0.041155603 (2545.232, 540.12286, 2972.1396, 1045.7706) proba : 0.039570156 (2362.6418, 1470.2163, 2901.423, 2152.238) proba : 0.030482361 (2784.0984, 1531.0579, 3025.3796, 2079.1064) proba : 0.017642671 (1748.7081, 547.45184, 2193.0356, 1162.6294) proba : 0.015795557 (2879.627, 1427.3823, 3199.186, 2141.8376) proba : 0.010810348 (2403.9094, 706.27875, 2720.5095, 1277.5774) proba : 0.010703111 (2683.0679, 868.7865, 2997.1724, 1348.8602) We are managing local photo_id len de result frcnn : 6 After datou_step_exec type output : time spend for datou_step_exec : 6.12454628944397 time spend to save output : 4.863739013671875e-05 total time spend for step 1 : 6.1245949268341064 step2:crop_condition Thu Apr 17 03:41:44 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854098_1331777_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg': 950003695, 'temp/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg': 926687666, 'temp/1744854098_1331777_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg': 950003838, 'temp/1744854098_1331777_950003813_e28be02dfcce79cce594a390a9911a0a.jpg': 950003813, 'temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg': 950003812, 'temp/1744854098_1331777_950003696_11e3a77b72af4b332d366d98984039c7.jpg': 950003696} map_photo_id_path_extension : {950003695: {'path': 'temp/1744854098_1331777_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg', 'extension': 'jpg'}, 926687666: {'path': 'temp/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg', 'extension': 'jpg'}, 950003838: {'path': 'temp/1744854098_1331777_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg', 'extension': 'jpg'}, 950003813: {'path': 'temp/1744854098_1331777_950003813_e28be02dfcce79cce594a390a9911a0a.jpg', 'extension': 'jpg'}, 950003812: {'path': 'temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg', 'extension': 'jpg'}, 950003696: {'path': 'temp/1744854098_1331777_950003696_11e3a77b72af4b332d366d98984039c7.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} param_json : {'photo_hashtag_type': 757, 'token': '78d09a0790ec6ecbf119343125a81fdc', 'feed_id_new_photos': 1981313, 'host': 'www.fotonower.com', 'filter': {'phare': {'margin_type': 'margin', 'margin_value': 300, 'feed_id_new_photos': 1097966}, 'aile-avant': {}}, 'crop_type': 'bib', 'margin_type': 'margin_relative', 'margin_value': [0.5, 0.1, 0.5, 0.1], 'min_score': 0.3} list_filenames in step crop : ['temp/1744854098_1331777_950003695_22b4110c9a86b12e1542ec2bb977f6a8.jpg', 'temp/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c.jpg', 'temp/1744854098_1331777_950003838_e480bc28e6ceabc2f5995246a6af6b46.jpg', 'temp/1744854098_1331777_950003813_e28be02dfcce79cce594a390a9911a0a.jpg', 'temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74.jpg', 'temp/1744854098_1331777_950003696_11e3a77b72af4b332d366d98984039c7.jpg'] Loading chi in step crop with photo_hashtag_type : 757 Loading chi in step crop for subpids : 6 ! batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 950003695,926687666,950003838,950003813,950003812,950003696) and `type` in (757) Loaded 32 chid ids of type : 757 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1655713604,1655713607,1655713608,1655713612,1655713617,1655713619,1655713621,1655713623,1655713624,1655713628,1655713630,1655713631,1655713632,1655713634,1655713635,1655713639,1655713644,1655713646,1655713647,1655713648,1655713650,1655713651,1655713652,1655713655,1655713658,1655713659,1655713660,1655713662,1655713695,1655713696,1655713700,1655713701) SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1655713604,1655713607,1655713608,1655713612,1655713617,1655713619,1655713621,1655713623,1655713624,1655713628,1655713630,1655713631,1655713632,1655713634,1655713635,1655713639,1655713644,1655713646,1655713647,1655713648,1655713650,1655713651,1655713652,1655713655,1655713658,1655713659,1655713660,1655713662,1655713695,1655713696,1655713700,1655713701) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1655713604,1655713607,1655713608,1655713612,1655713617,1655713619,1655713621,1655713623,1655713624,1655713628,1655713630,1655713631,1655713632,1655713634,1655713635,1655713639,1655713644,1655713646,1655713647,1655713648,1655713650,1655713651,1655713652,1655713655,1655713658,1655713659,1655713660,1655713662,1655713695,1655713696,1655713700,1655713701) select photo_id, sub_photo_id, x0, x1, y0, y1, resize_coeff_x, resize_coeff_y, crop_type, id from MTRPhoto.photo_sub_photos where photo_id in ( 950003695,926687666,950003838,950003813,950003812,950003696) select sub_photo_id, crop_hashtag_id from MTRPhoto.crop_sub_photo_ids where sub_photo_id in (971020109,971021726,971022383,1071808962,1071808969,1071808957,1071808960,1071808966) map_pid_crop from SQL : ['[]', '[, , , , , , , , , , , ]', '[, , , , , , , , , , , , , ]', '[]', '[, , , ]'] 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 (950003695,926687666,950003838,950003813,950003812,950003696) and hashtag_id = 492624020) as a where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 and coverage >= 0 and surface_rectangle >= 0; chi_id interessant : [1655713621] chi_id interessant : [1655713621, 1655713648] chi_id interessant : [1655713621, 1655713648, 1655713647] WARNING : margin is only used for type bib ! type of cropped photo chosen : bib we resize croppped photo by 1 on x axis and by 1 on y axis new_file_path_bib_crop : temp/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg new_file_path_bib_crop : temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg new_file_path_bib_crop : temp/1744854098_1331777_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/1744854098_1331777_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/1744854098_1331777_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/1744854098_1331777_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/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', (326, 477, 251, 312)], 1071808957: [950003812, 'temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', (318, 489, 264, 310)], 1071808960: [950003812, 'temp/1744854098_1331777_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 (950003695,926687666,950003838,950003813,950003812,950003696) and hashtag_id = 2106233860) as a where proportion_allonge >= 1/1000000 and proportion_allonge <= 1000000 and coverage >= 0 and surface_rectangle >= 0; chi_id interessant : [1655713607] chi_id interessant : [1655713607, 1655713634] WARNING : margin is only used for type bib ! type of cropped photo chosen : bib we resize croppped photo by 1 on x axis and by 1 on y axis new_file_path_bib_crop : temp/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg now we use margin_relative for the photo_id : 926687666 new_file_path_bib_crop : temp/1744854098_1331777_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/1744854098_1331777_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/1744854098_1331777_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/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', (161, 330, 149, 343)], 1071808966: [950003812, 'temp/1744854098_1331777_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/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', (326, 477, 251, 312)], 1071808957: [950003812, 'temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', (318, 489, 264, 310)], 1071808960: [950003812, 'temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg', (261, 408, 234, 331)], 1071808969: [926687666, 'temp/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', (161, 330, 149, 343)], 1071808966: [950003812, 'temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713634_0.jpg', (133, 305, 146, 344)]} After datou_step_exec type output : time spend for datou_step_exec : 0.46685171127319336 time spend to save output : 6.747245788574219e-05 total time spend for step 2 : 0.4669191837310791 caffe_path_current : About to save ! 0 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 2 output : {1071808962: [926687666, 'temp/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713621_0.jpg', (326, 477, 251, 312)], 1071808957: [950003812, 'temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713647_0.jpg', (318, 489, 264, 310)], 1071808960: [950003812, 'temp/1744854098_1331777_950003812_3dbffe9f441f7d28d087f3e571769e74_bib_crop_1655713648_0.jpg', (261, 408, 234, 331)], 1071808969: [926687666, 'temp/1744854098_1331777_926687666_a8bc8c1fad77748c62ca641ceb29ad9c_bib_crop_1655713607_0.jpg', (161, 330, 149, 343)], 1071808966: [950003812, 'temp/1744854098_1331777_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 : 0.1594851016998291 #### 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 Thu Apr 17 03:41:45 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854104_1331777_990111206_7ca22c7e68dd0a10509c7987af0cf549.png': 990111206} map_photo_id_path_extension : {990111206: {'path': 'temp/1744854104_1331777_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:22117263 treat image : temp/1744854104_1331777_990111206_7ca22c7e68dd0a10509c7987af0cf549.png blanchir func in upload media Upload medias : ['temp/1744854104_1331777_990111206_7ca22c7e68dd0a10509c7987af0cf549.png'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=78d09a0790ec6ecbf119343125a81fdc&datou=0 temp/1744854104_1331777_990111206_7ca22c7e68dd0a10509c7987af0cf549.png after data_to_send, before sending request after request b'{"photo_ids":["1350609184"],"photo_id":"1350609184","photo_detail":[{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/17/06f7f41307da128b93c04e7aeea0fa3b.png","text":"TemporaryFile(/tmp/multipartBody6353032998479899363asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1744854106523,"filename":"1744854104_1331777_990111206_7ca22c7e68dd0a10509c7987af0cf549.png","height":0,"width":0}],"map_files_photo_id":{"file0":"1350609184"},"map_files_photo_id_array":[{"photo_id":"file0","filename":"1350609184"}],"hashtags":[],"portfolio_id":"22117263","result":[],"list_datou_current":[]}' Result OK ! After datou_step_exec type output : time spend for datou_step_exec : 6.878434896469116 time spend to save output : 1.5735626220703125e-05 total time spend for step 1 : 6.878450632095337 caffe_path_current : 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 : 0.013342142105102539 save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : [(990111206, '1350609184', 0, 300, 0, 381, 1, 1, 'blanc')] [(990111206, '1350609184', 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 : 0.18177437782287598 #### 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 Thu Apr 17 03:41:52 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854112_1331777_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg': 989962950} map_photo_id_path_extension : {989962950: {'path': 'temp/1744854112_1331777_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/1744854112_1331777_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg in upload media Upload medias : ['temp/1744854112_1331777_989962950_4d2e56be59e275c3d57b085a836be0badarker.jpg'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=78d09a0790ec6ecbf119343125a81fdc&datou=0 temp/1744854112_1331777_989962950_4d2e56be59e275c3d57b085a836be0badarker.jpg after data_to_send, before sending request after request b'{"photo_ids":["1350609194"],"photo_id":"1350609194","photo_detail":[{"mtr_user_id":440,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/17/5baa0b95fe4bedda004eb1ce6d0459fe.jpg","text":"TemporaryFile(/tmp/multipartBody220735209889590733asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1744854113418,"filename":"1744854112_1331777_989962950_4d2e56be59e275c3d57b085a836be0badarker.jpg","height":0,"width":0}],"map_files_photo_id":{"file0":"1350609194"},"map_files_photo_id_array":[{"photo_id":"file0","filename":"1350609194"}],"hashtags":[],"portfolio_id":"2213400","result":[],"list_datou_current":[]}' Result OK ! list chi 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 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 : time spend for datou_step_exec : 7.481137990951538 time spend to save output : 3.743171691894531e-05 total time spend for step 1 : 7.481175422668457 caffe_path_current : 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 : 0.015476226806640625 save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : [(989962950, '1350609194', 0, 897, 0, 1431, 1, 1, 'darker')] [(989962950, '1350609194', 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 ( 1350609194) 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 (3751142494,3751142495,3751142493,3751142491,3751142492,3751142489,3751142490) SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3751142494,3751142495,3751142493,3751142491,3751142492,3751142489,3751142490) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3751142494,3751142495,3751142493,3751142491,3751142492,3751142489,3751142490) ############################### 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 : 0.1628732681274414 #### 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 Thu Apr 17 03:42:00 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854120_1331777_989962950_4d2e56be59e275c3d57b085a836be0ba.jpg': 989962950} map_photo_id_path_extension : {989962950: {'path': 'temp/1744854120_1331777_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/1744854120_1331777_989962950_4d2e56be59e275c3d57b085a836be0ba_aug.jpg'] : url : https://marlene.fotonower.com/api/v1/secured/photo/upload?token=7ad776945df9e5335881f03fafdabb27&datou=0 temp/1744854120_1331777_989962950_4d2e56be59e275c3d57b085a836be0ba_aug.jpg after data_to_send, before sending request after request b'{"photo_ids":["1350609196"],"photo_id":"1350609196","photo_detail":[{"mtr_user_id":0,"url":"https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/17/b9c3a20c84743c6aa3ce5e1ff48769be.jpg","text":"TemporaryFile(/tmp/multipartBody397186631544300301asTemporaryFile)","latitude":0.0,"longitude":0.0,"uploaded_at":1744854120780,"filename":"1744854120_1331777_989962950_4d2e56be59e275c3d57b085a836be0ba_aug.jpg","height":0,"width":0}],"map_files_photo_id":{"file0":"1350609196"},"map_files_photo_id_array":[{"photo_id":"file0","filename":"1350609196"}],"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 : 1350609196 ERROR missing MTRPhoto.crop_hashtag_ids : 492774966 on photo_id : 1350609196 ERROR missing MTRPhoto.crop_hashtag_ids : 492725882 on photo_id : 1350609196 ERROR missing MTRPhoto.crop_hashtag_ids : 492725882 on photo_id : 1350609196 ERROR missing MTRPhoto.crop_hashtag_ids : 492668766 on photo_id : 1350609196 ERROR missing MTRPhoto.crop_hashtag_ids : 492668766 on photo_id : 1350609196 ERROR missing MTRPhoto.crop_hashtag_ids : 492668766 on photo_id : 1350609196 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 : time spend for datou_step_exec : 6.9685750007629395 time spend to save output : 5.745887756347656e-05 total time spend for step 1 : 6.968632459640503 caffe_path_current : 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 : 0.012465953826904297 save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : [(989962950, 1350609196, 0, 1431, 0, 897, 1, 1, 'img_aug')] [(989962950, 1350609196, 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 ( 1350609196) 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 (3751142675,3751142676,3751142674,3751142672,3751142673,3751142670,3751142671) SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3751142675,3751142676,3751142674,3751142672,3751142673,3751142670,3751142671) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3751142675,3751142676,3751142674,3751142672,3751142673,3751142670,3751142671) ############################### 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 : 0.047460079193115234 #### 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 Thu Apr 17 03:42:07 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 : Here we display some param of map_info ! map_filenames : {} map_photo_id_path_extension : {} map_subphoto_mainphoto : {} begin split time score 2022-04-13 10:29:59 0 SELECT app_name, token FROM MTRUser.mtr_app_api_token WHERE mtr_user_id=739 AND app_name="token_split_time_score" AND expire_at > NOW() TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}] thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join MTRBack.photos ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = 4599398 group by h (('05', 2), ('07', 25), ('06', 1), ('08', 96), ('09', 44), ('10', 64)) SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4599398 AND mpp.hide_status=0 ORDER BY mpp.order LIMIT 0, 100000 SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1 where mpp1.mtr_photo_id=cps.photo_id AND h.hashtag_id=cps.hashtag_id AND mpp1.hide_status=0 AND mpp1.mtr_portfolio_id in (4599398) AND cps.thcl in (861) order by cps.score desc LIMIT 0, 100000 SELECT cps.photo_id, cps.score, h.hashtag, cps.hashtag_id, mpp1.mtr_portfolio_id FROM MTRPhoto.class_photo_score cps, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp1 where mpp1.mtr_photo_id=cps.photo_id AND h.hashtag_id=cps.hashtag_id AND mpp1.hide_status=0 AND mpp1.mtr_portfolio_id in (4599398) AND cps.thcl in (758) order by cps.score desc LIMIT 0, 100000 ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 188, 2: 36, 3: 8} 07092021 4599398 Nombre de photos uploadées : 232 / 23040 (1%) 07092021 4599398 Nombre de photos taguées (types de déchets): 232 / 232 (100%) 07092021 4599398 Nombre de photos taguées (volume) : 232 / 232 (100%) [{'photo_id': 1049293230, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/7/f23ba47cedee4657ed22c3d9f9535a34.jpg', 'username': None, 'uploaded_at': 1630984864, 'text': 'image_07092021_05_20_04_010050m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'}, {'photo_id': 1049296121, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/7/0093b445a3c4de9b92562659d544a352.jpg', 'username': None, 'uploaded_at': 1630986542, 'text': 'image_07092021_05_47_33_009984m0.jpg 0.002 for time 1, id_amount 3 this amount prod time diff : 0.001'}, {'photo_id': 1049296996, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/7/f6ab2ade6ce6c6a1cdc5e37444e94ea8.jpg', 'username': None, 'uploaded_at': 1630987563, 'text': 'image_07092021_06_05_54_010003m0.jpg 0.003 for time 1, id_amount 3 this amount prod time diff : 0.001'}, {'photo_id': 1049303925, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/9/7/225c2975cddc22def1487c51a2d2f466.jpg', 'username': None, 'uploaded_at': 1630990923, 'text': 'image_07092021_07_00_04_009910m0.jpg 0.004 for time 1, id_amount 3 this amount prod time diff : 0.001'}] 232 [{'photo_id': 1049318293, 'score': 0.9999683, 'hashtag': '05102018_Papier_non_papier_tres_dense', 'hashtag_id': 2107751016, 'label': 4599398}, {'photo_id': 1049312426, 'score': 0.9998722, 'hashtag': '05102018_Papier_non_papier_tres_dense', 'hashtag_id': 2107751016, 'label': 4599398}, {'photo_id': 1049318291, 'score': 0.9998473, 'hashtag': '05102018_Papier_non_papier_tres_dense', 'hashtag_id': 2107751016, 'label': 4599398}, {'photo_id': 1049318289, 'score': 0.99982566, 'hashtag': '05102018_Papier_non_papier_tres_dense', 'hashtag_id': 2107751016, 'label': 4599398}] elapsed_time : load_data_split_time_score 3.337860107421875e-06 elapsed_time : order_list_meta_photo_and_scores 0.00010800361633300781 elapsed_time : fill_and_build_computed_from_old_data 0.015172004699707031 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 0.025912046432495117 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 19.36205220222473 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 : 0.08084940910339355 photos_removed : len 115 elapsed_time : remove_photo_duplicate 0.15302777290344238 Creating list_photo_total XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX elapsed_time : count_sum_diff_and_build_graph 0.03773856163024902 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 0.007501125335693359 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 5.7220458984375e-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 : 22117264 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 : 22117265 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 : 22117266 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 : 22117267 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 : 22117268 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 : 22117269 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 : 22117270 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 : 22117271 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 : 22117272 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 : 22117273 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 : [] INSERT into MTRPhoto.mtr_datou_current (mtd_id, mtr_portfolio_id, mtr_user_id) VALUES (370,13545772,739) ON DUPLICATE KEY UPDATE backup = backup + 1 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 (1729177, '_______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': 2711361, 'mtr_portfolio_id': 13545774, 'created_at': datetime.datetime(2025, 4, 1, 4, 43, 50), 'result': '0.005823220486111111', 'result_long': None, 'result_double': None}] Qualite : 0.005823220486111111 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 (1729177, '_______plastique_fonce', '2021-09-07 07:50:23.010046', '2021-09-07 08:29:13.009925', 25, 13545774, 0.005823220486111111, 2711361, '-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': 2710694, 'mtr_portfolio_id': 13545777, 'created_at': datetime.datetime(2025, 3, 31, 23, 49, 49), '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 (1729177, '_______papier', '2021-09-07 08:29:24.010122', '2021-09-07 08:32:34.009894', 4, 13545777, 0.1888521086140681, 2710694, '-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': 2711362, 'mtr_portfolio_id': 5570414, 'created_at': datetime.datetime(2025, 4, 1, 3, 59, 59), '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 (1729177, '_______plastique_fonce', '2021-09-07 08:32:43.009899', '2021-09-07 08:32:43.009899', 1, 5570414, 0.007415846836419753, 2711362, '-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 : [] INSERT into MTRPhoto.mtr_datou_current (mtd_id, mtr_portfolio_id, mtr_user_id) VALUES (370,13545779,739) ON DUPLICATE KEY UPDATE backup = backup + 1 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 (1729177, '_______papier', '2021-09-07 08:40:04.010052', '2021-09-07 08:51:43.009902', 5, 13545779, -1, -1, '-1', "{'max_time_prod_two_photos': 119.00011491775513}" ); SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double FROM MTRPhoto.mtr_datou_result WHERE mtr_portfolio_id = 13545780 AND result is not null and result<>"None" and result<>0.0 AND mtd_id=3979 ORDER BY id desc LIMIT 1 list_result_datou : [{'mtr_datou_id': 3979, 'mtr_datou_current_id': 2591870, 'mtr_portfolio_id': 13545780, 'created_at': datetime.datetime(2025, 2, 16, 9, 56, 31), 'result': '0.004572120949074074', 'result_long': None, 'result_double': None}] Qualite : 0.004572120949074074 select url from MTRUser.mtr_files where mtd_id = 3979 and mtr_portfolio_id = 13545780 order by file_id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 10257 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 10261 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 10261 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 10263 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 10264 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 10258 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 10260 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 10259 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 10259 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 10306 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs ! Step 11081 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 10260 doesn't seem to be define in the database( WARNING : type of input 3 of step 10259 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 10260 doesn't seem to be define in the database( WARNING : output 1 of step 10258 have datatype=7 whereas input 1 of step 10260 have datatype=None WARNING : type of output 2 of step 10257 doesn't seem to be define in the database( WARNING : type of input 2 of step 10261 doesn't seem to be define in the database( WARNING : output 0 of step 10257 have datatype=16 whereas input 0 of step 10264 have datatype=1 WARNING : output 1 of step 10257 have datatype=2 whereas input 1 of step 10264 have datatype=7 WARNING : output 0 of step 10263 have datatype=6 whereas input 2 of step 10264 have datatype=5 WARNING : type of output 2 of step 10264 doesn't seem to be define in the database( WARNING : type of input 1 of step 10258 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 10260 have datatype=10 whereas input 3 of step 10306 have datatype=6 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=13545780 AND mptpi.`type`=4199 To do INSERT INTO `MTRPhoto`.`dashboard_results` (`dashboard_run_id`, `hashtag`, `date_debut`, `date_fin`, `nombre_balle`, `mtr_portfolio_id`, `qualite`, `datou_result_id_qualite`, `completion_percentage`, `completion_json`) VALUES (1729177, '_______plastique_fonce', '2021-09-07 08:51:54.010119', '2021-09-07 08:51:54.010119', 1, 13545780, 0.004572120949074074, 2591870, '-1', "{'max_time_prod_two_photos': 11.000216960906982, 'url_report': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P13545780_23-01-2025_12_31_57.pdf', 'ela': {'hashtag': 'ela', 'sub_port_id': 13644047, 'pht': 4199}, 'barquette_opaque': {'hashtag': 'barquette_opaque', 'sub_port_id': 13644048, 'pht': 4199}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 13644049, 'pht': 4199}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 13644050, 'pht': 4199}, 'metal': {'hashtag': 'metal', 'sub_port_id': 13644051, 'pht': 4199}, 'textiles_sanitaires': {'hashtag': 'textiles_sanitaires', 'sub_port_id': 13644052, 'pht': 4199}, 'pet_opaque': {'hashtag': 'pet_opaque', 'sub_port_id': 13644053, 'pht': 4199}, 'film_plastique': {'hashtag': 'film_plastique', 'sub_port_id': 13644054, 'pht': 4199}, 'papier': {'hashtag': 'papier', 'sub_port_id': 13644055, 'pht': 4199}, 'carton': {'hashtag': 'carton', 'sub_port_id': 13644056, 'pht': 4199}, 'etiquette': {'hashtag': 'etiquette', 'sub_port_id': 13644057, 'pht': 4199}, 'pehd': {'hashtag': 'pehd', 'sub_port_id': 13644058, 'pht': 4199}, 'pet_fonce': {'hashtag': 'pet_fonce', 'sub_port_id': 13644059, 'pht': 4199}, 'pet_clair': {'hashtag': 'pet_clair', 'sub_port_id': 13644060, 'pht': 4199}}" ); SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double FROM MTRPhoto.mtr_datou_result WHERE mtr_portfolio_id = 13545783 AND result is not null and result<>"None" and result<>0.0 AND mtd_id=370 ORDER BY id desc LIMIT 1 SELECT mtd_id, mtr_current_id, mtr_portfolio_id, created_at, result, result_long, result_double FROM MTRPhoto.mtr_datou_result WHERE mtr_portfolio_id = 13545783 AND result is not null and result<>"None" and result=0.0 AND mtd_id=370 ORDER BY created_at desc LIMIT 1 list_result_datou : [] INSERT into MTRPhoto.mtr_datou_current (mtd_id, mtr_portfolio_id, mtr_user_id) VALUES (370,13545783,739) ON DUPLICATE KEY UPDATE backup = backup + 1 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 (1729177, '_______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': 2711365, 'mtr_portfolio_id': 13545785, 'created_at': datetime.datetime(2025, 4, 1, 3, 58, 52), '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 (1729177, '_______plastique_fonce', '2021-09-07 08:52:53.009918', '2021-09-07 08:58:23.009966', 12, 13545785, 0.00907640496399177, 2711365, '-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 (1729177, '_______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': 2711367, 'mtr_portfolio_id': 13545788, 'created_at': datetime.datetime(2025, 4, 1, 3, 51, 30), '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 (1729177, '_______plastique_fonce', '2021-09-07 09:10:34.010157', '2021-09-07 10:02:34.010134', 17, 13545788, 0.01485129824918373, 2711367, '-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 (1729177, '_______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 (1729177, '_______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': 2711368, 'mtr_portfolio_id': 13543475, 'created_at': datetime.datetime(2025, 4, 1, 3, 46, 54), '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 (1729177, '_______plastique_fonce', '2021-09-07 10:16:24.010117', '2021-09-07 10:23:33.009852', 12, 13543475, 0.003848153410463827, 2711368, '-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': 2710698, 'mtr_portfolio_id': 13543476, 'created_at': datetime.datetime(2025, 3, 31, 21, 49, 54), '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 (1729177, '_______papier', '2021-09-07 10:23:44.010139', '2021-09-07 10:24:23.009930', 4, 13543476, 0.11478003563407302, 2710698, '-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': 2711369, 'mtr_portfolio_id': 13543477, 'created_at': datetime.datetime(2025, 4, 1, 3, 48, 33), '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 (1729177, '_______plastique_fonce', '2021-09-07 10:24:34.010156', '2021-09-07 10:26:13.010065', 6, 13543477, 0.019897576026366652, 2711369, '-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 25.73995590209961 # 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 : time spend for datou_step_exec : 45.47685718536377 time spend to save output : 9.274482727050781e-05 total time spend for step 1 : 45.47694993019104 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : True saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1049318362, 1049318360, 1049318358, 1049318356, 1049318342, 1049318339, 1049318337, 1049318311, 1049318310, 1049318309, 1049318294, 1049318293, 1049318291, 1049318289, 1049318288, 1049318287, 1049318279, 1049318276, 1049318273, 1049318271, 1049318268, 1049318265, 1049318260, 1049318257, 1049318253, 1049318250, 1049318247, 1049318246, 1049318222, 1049318219, 1049318216, 1049318214, 1049318213, 1049318212, 1049317554, 1049317551, 1049317549, 1049317546, 1049317542, 1049317536, 1049317526, 1049317525, 1049317524, 1049317522, 1049317520, 1049317517, 1049317497, 1049317493, 1049317491, 1049317489, 1049317487, 1049317485, 1049317468, 1049317461, 1049317457, 1049317453, 1049317444, 1049317440, 1049317359, 1049317333, 1049317282, 1049317225, 1049317210, 1049317197, 1049316790, 1049316785, 1049316782, 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1049311767, 1049311267, 1049311266, 1049311263, 1049311252, 1049311199, 1049311136, 1049311073, 1049311009, 1049311006, 1049310994, 1049310992, 1049310991, 1049310984, 1049310982, 1049310981, 1049310919, 1049310914, 1049310911, 1049310909, 1049310907, 1049310905, 1049310165, 1049310162, 1049310159, 1049310145, 1049310141, 1049310139, 1049310138, 1049310134, 1049310132, 1049309737, 1049309734, 1049309732, 1049309706, 1049309703, 1049309701, 1049309686, 1049309681, 1049309677, 1049309675, 1049309672, 1049309670, 1049309658, 1049309657, 1049309656, 1049309655, 1049309653, 1049309651, 1049309605, 1049309603, 1049309599, 1049309597, 1049309595, 1049309592, 1049309385, 1049309383, 1049309382, 1049309381, 1049309380, 1049309379, 1049309345, 1049308384, 1049308381, 1049308376, 1049308280, 1049308276, 1049308275, 1049308235, 1049307693, 1049306823, 1049306804, 1049306792, 1049306791, 1049306635, 1049306205, 1049304810, 1049303925, 1049296996, 1049296121, 1049294990, 1049293230] map_info['map_portfolio_photo'] : {4599398: [1049318362, 1049318360, 1049318358, 1049318356, 1049318342, 1049318339, 1049318337, 1049318311, 1049318310, 1049318309, 1049318294, 1049318293, 1049318291, 1049318289, 1049318288, 1049318287, 1049318279, 1049318276, 1049318273, 1049318271, 1049318268, 1049318265, 1049318260, 1049318257, 1049318253, 1049318250, 1049318247, 1049318246, 1049318222, 1049318219, 1049318216, 1049318214, 1049318213, 1049318212, 1049317554, 1049317551, 1049317549, 1049317546, 1049317542, 1049317536, 1049317526, 1049317525, 1049317524, 1049317522, 1049317520, 1049317517, 1049317497, 1049317493, 1049317491, 1049317489, 1049317487, 1049317485, 1049317468, 1049317461, 1049317457, 1049317453, 1049317444, 1049317440, 1049317359, 1049317333, 1049317282, 1049317225, 1049317210, 1049317197, 1049316790, 1049316785, 1049316782, 1049316778, 1049316752, 1049316749, 1049316610, 1049316600, 1049316597, 1049316594, 1049316588, 1049316582, 1049316545, 1049316543, 1049316540, 1049316537, 1049316534, 1049316520, 1049316338, 1049316336, 1049316332, 1049316331, 1049316257, 1049316255, 1049316222, 1049316216, 1049316214, 1049316212, 1049316210, 1049316209, 1049313025, 1049312984, 1049312803, 1049312588, 1049312585, 1049312583, 1049312579, 1049312574, 1049312573, 1049312571, 1049312568, 1049312566, 1049312562, 1049312556, 1049312508, 1049312489, 1049312488, 1049312487, 1049312485, 1049312484, 1049312464, 1049312463, 1049312462, 1049312461, 1049312460, 1049312449, 1049312445, 1049312444, 1049312442, 1049312440, 1049312438, 1049312429, 1049312426, 1049312424, 1049312422, 1049312420, 1049312409, 1049312406, 1049312404, 1049312363, 1049312208, 1049311964, 1049311963, 1049311962, 1049311961, 1049311960, 1049311943, 1049311938, 1049311937, 1049311935, 1049311934, 1049311932, 1049311795, 1049311793, 1049311791, 1049311771, 1049311767, 1049311267, 1049311266, 1049311263, 1049311252, 1049311199, 1049311136, 1049311073, 1049311009, 1049311006, 1049310994, 1049310992, 1049310991, 1049310984, 1049310982, 1049310981, 1049310919, 1049310914, 1049310911, 1049310909, 1049310907, 1049310905, 1049310165, 1049310162, 1049310159, 1049310145, 1049310141, 1049310139, 1049310138, 1049310134, 1049310132, 1049309737, 1049309734, 1049309732, 1049309706, 1049309703, 1049309701, 1049309686, 1049309681, 1049309677, 1049309675, 1049309672, 1049309670, 1049309658, 1049309657, 1049309656, 1049309655, 1049309653, 1049309651, 1049309605, 1049309603, 1049309599, 1049309597, 1049309595, 1049309592, 1049309385, 1049309383, 1049309382, 1049309381, 1049309380, 1049309379, 1049309345, 1049308384, 1049308381, 1049308376, 1049308280, 1049308276, 1049308275, 1049308235, 1049307693, 1049306823, 1049306804, 1049306792, 1049306791, 1049306635, 1049306205, 1049304810, 1049303925, 1049296996, 1049296121, 1049294990, 1049293230]} final : True mtd_id 3789 list_pids : [1049318362, 1049318360, 1049318358, 1049318356, 1049318342, 1049318339, 1049318337, 1049318311, 1049318310, 1049318309, 1049318294, 1049318293, 1049318291, 1049318289, 1049318288, 1049318287, 1049318279, 1049318276, 1049318273, 1049318271, 1049318268, 1049318265, 1049318260, 1049318257, 1049318253, 1049318250, 1049318247, 1049318246, 1049318222, 1049318219, 1049318216, 1049318214, 1049318213, 1049318212, 1049317554, 1049317551, 1049317549, 1049317546, 1049317542, 1049317536, 1049317526, 1049317525, 1049317524, 1049317522, 1049317520, 1049317517, 1049317497, 1049317493, 1049317491, 1049317489, 1049317487, 1049317485, 1049317468, 1049317461, 1049317457, 1049317453, 1049317444, 1049317440, 1049317359, 1049317333, 1049317282, 1049317225, 1049317210, 1049317197, 1049316790, 1049316785, 1049316782, 1049316778, 1049316752, 1049316749, 1049316610, 1049316600, 1049316597, 1049316594, 1049316588, 1049316582, 1049316545, 1049316543, 1049316540, 1049316537, 1049316534, 1049316520, 1049316338, 1049316336, 1049316332, 1049316331, 1049316257, 1049316255, 1049316222, 1049316216, 1049316214, 1049316212, 1049316210, 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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 : 0.07276082038879395 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, 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map_portfolio_id_photo_id: {4608689: [1055013727, 1055013724, 1055013693, 1055012727, 1055012722, 1055012686, 1055012684, 1055011740, 1055011733, 1055011726, 1055011459, 1055011454, 1055011441, 1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679, 1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055003131, 1055002045, 1055001545, 1055001542, 1055001092, 1055001085, 1055000228, 1055000070, 1055000068, 1055000063, 1055000059, 1055000055]} ##### Call download_photos : nb_thread : 5 begin to download photo : 1055013727 begin to download photo : 1055011086 begin to download photo : 1055008597 begin to download photo : 1055003131 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begin to download photo : 1055011459 download finish for photo 1055000059 begin to download photo : 1055000055 download finish for photo 1055004278 begin to download photo : 1055004217 download finish for photo 1055003134 download finish for photo 1055008599 download finish for photo 1055000055 download finish for photo 1055004217 begin to download photo : 1055003679 download finish for photo 1055011459 begin to download photo : 1055011454 download finish for photo 1055003679 download finish for photo 1055011454 begin to download photo : 1055011441 download finish for photo 1055011441 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 : 4.618946552276611 #### 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 Thu Apr 17 03:42:58 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854173_1331777_1055003357_724bbfa472d57dcea0975679f4a393ff.jpg': 1055003357, 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'temp/1744854173_1331777_1055007953_831e4c41962162209ffbd3492d14ca01.jpg', 'extension': 'jpg'}, 1055007950: {'path': 'temp/1744854173_1331777_1055007950_3aea8b8cb1f8c6e4b87714e0d17e12c5.jpg', 'extension': 'jpg'}, 1055004798: {'path': 'temp/1744854173_1331777_1055004798_c38e078097a0afb8565867dfa05724d7.jpg', 'extension': 'jpg'}, 1055004627: {'path': 'temp/1744854173_1331777_1055004627_9afc9aa5c93533104d86b96e0b5de9d0.jpg', 'extension': 'jpg'}, 1055004608: {'path': 'temp/1744854173_1331777_1055004608_8f10a6ef80cc1cb72e52bb22cdd7bac9.jpg', 'extension': 'jpg'}, 1055004600: {'path': 'temp/1744854173_1331777_1055004600_d545fe61ea780a6598c9d5febba7d576.jpg', 'extension': 'jpg'}, 1055004278: {'path': 'temp/1744854173_1331777_1055004278_7d9a1423053759339afb51f45a1b5d84.jpg', 'extension': 'jpg'}, 1055004217: {'path': 'temp/1744854173_1331777_1055004217_63353acd8a59167cd1364f16c9c06813.jpg', 'extension': 'jpg'}, 1055003679: {'path': 'temp/1744854173_1331777_1055003679_9231db8e9237505d07f9358467266703.jpg', 'extension': 'jpg'}, 1055013727: {'path': 'temp/1744854173_1331777_1055013727_f34e29870c3ec81fcb476bf0068450cf.jpg', 'extension': 'jpg'}, 1055013724: {'path': 'temp/1744854173_1331777_1055013724_8e582d8384c64704f84356f873bb03d8.jpg', 'extension': 'jpg'}, 1055013693: {'path': 'temp/1744854173_1331777_1055013693_876ad4d5805887cd941b46d5ca7d5b1b.jpg', 'extension': 'jpg'}, 1055012727: {'path': 'temp/1744854173_1331777_1055012727_3a1bdb1d67309822657123609c77e797.jpg', 'extension': 'jpg'}, 1055012722: {'path': 'temp/1744854173_1331777_1055012722_f9babb3fe56ced25ffede8bbef5069fb.jpg', 'extension': 'jpg'}, 1055012686: {'path': 'temp/1744854173_1331777_1055012686_a45d0e00cad891daaf8f041ee26a78d1.jpg', 'extension': 'jpg'}, 1055012684: {'path': 'temp/1744854173_1331777_1055012684_ba679a0e20ea6f16bfd9069fc90f689d.jpg', 'extension': 'jpg'}, 1055011740: {'path': 'temp/1744854173_1331777_1055011740_0b33951d4709683b89a108912f3c0dd3.jpg', 'extension': 'jpg'}, 1055011733: {'path': 'temp/1744854173_1331777_1055011733_801c47d539f95680cda20cf369779093.jpg', 'extension': 'jpg'}, 1055011726: {'path': 'temp/1744854173_1331777_1055011726_707dc466731322dc036267ca30d7e700.jpg', 'extension': 'jpg'}, 1055011459: {'path': 'temp/1744854173_1331777_1055011459_76e96710774ab5e4a8e5f23142b2b45e.jpg', 'extension': 'jpg'}, 1055011454: {'path': 'temp/1744854173_1331777_1055011454_46ec921f09112d298dcc47353d779d55.jpg', 'extension': 'jpg'}, 1055011441: {'path': 'temp/1744854173_1331777_1055011441_d825f9623da221614af7ce7a13591d1a.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/1744854173_1331777_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/1744854173_1331777_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/1744854173_1331777_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/1744854173_1331777_1055000055_c9e450bd4b6e2cb9cfa8e540e915987c.jpg', 'black': False}] 0 [] elapsed_time : load_data_split_time_score 1.1682510375976562e-05 elapsed_time : order_list_meta_photo_and_scores 1.2874603271484375e-05 ???????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.003515958786010742 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 0.024335622787475586 ***** 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 : 0.012506723403930664 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 : 0.008872747421264648 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 : 0.008946895599365234 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 : 0.008932352066040039 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 : 0.008947610855102539 elapsed_time : SPLIT_BY_DARK 0.05930280685424805 ***** END SPLIT BY DARK ***** ((1055001085,), (1055008638,), (1055010730,), (1055011086,), (1055012686,)) ***** BEGIN SPLIT TIME ***** [12, 20, 29, 38, 51] 1633478400.0 `1633508253.0 1633507200.0 `1633508284.0 1633507200.0 `1633508316.0 1633507200.0 `1633508323.0 1633507200.0 `1633508333.0 1633507200.0 `1633508340.0 1633507200.0 `1633508358.0 1633507200.0 `1633508369.0 1633507200.0 `1633508385.0 1633507200.0 `1633508398.0 1633507200.0 `1633508416.0 1633507200.0 `1633508425.0 1633507200.0 `1633508434.0 1633507200.0 `1633508449.0 1633507200.0 `1633508458.0 1633507200.0 `1633508470.0 1633507200.0 `1633508491.0 1633507200.0 `1633508499.0 1633507200.0 `1633508508.0 1633507200.0 `1633508521.0 1633507200.0 `1633508524.0 1633507200.0 `1633508644.0 1633507200.0 `1633508652.0 1633507200.0 `1633508657.0 1633507200.0 `1633508669.0 1633507200.0 `1633508678.0 1633507200.0 `1633508684.0 1633507200.0 `1633508690.0 1633507200.0 `1633508696.0 1633507200.0 `1633508701.0 1633507200.0 `1633508725.0 1633507200.0 `1633508733.0 1633507200.0 `1633508739.0 1633507200.0 `1633508748.0 1633507200.0 `1633508759.0 1633507200.0 `1633508766.0 1633507200.0 `1633508772.0 1633507200.0 `1633508778.0 1633507200.0 `1633508781.0 1633507200.0 `1633508805.0 1633507200.0 `1633508813.0 1633507200.0 `1633508820.0 1633507200.0 `1633508824.0 1633507200.0 `1633508829.0 1633507200.0 `1633508833.0 1633507200.0 `1633508849.0 1633507200.0 `1633508858.0 1633507200.0 `1633508865.0 1633507200.0 `1633508871.0 1633507200.0 `1633508877.0 1633507200.0 `1633508886.0 1633507200.0 `1633508891.0 1633507200.0 `1633524639.0 1633521600.0 `1633524648.0 1633521600.0 `1633524657.0 1633521600.0 `1633524662.0 1633521600.0 `1633524675.0 1633521600.0 `1633524680.0 1633521600.0 `1633524683.0 1633521600.0 `1633524694.0 1633521600.0 `1633524700.0 1633521600.0 `1633524718.0 1633521600.0 `1633524722.0 1633521600.0 `1633524741.0 1633521600.0 list printed: [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [13, 14, 15, 16, 17, 18, 19], [21, 22, 23, 24, 25, 26, 27, 28], [30, 31, 32, 33, 34, 35, 36, 37], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [], [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]] forced_hashtag: jrm force hashtag to jrm elapsed_time : SPLIT_TIME 0.006796836853027344 ***** 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 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 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 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 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 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 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 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 created_at desc LIMIT 1 list_result_datou : [] 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 (1729180, '_______jrm', '2021-10-06 10:17:33', '2021-10-06 10:20:25', 12, 4938484, -1, -1, '-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 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 created_at desc LIMIT 1 list_result_datou : [] 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 (1729180, '_______jrm', '2021-10-06 10:20:49', '2021-10-06 10:22:01', 7, 4938485, -1, -1, '-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 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 created_at desc LIMIT 1 list_result_datou : [] 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 (1729180, '_______jrm', '2021-10-06 10:24:04', '2021-10-06 10:24:56', 8, 4938486, -1, -1, '-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 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 created_at desc LIMIT 1 list_result_datou : [] 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 (1729180, '_______jrm', '2021-10-06 10:25:25', '2021-10-06 10:26:18', 8, 4938487, -1, -1, '-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 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 created_at desc LIMIT 1 list_result_datou : [] 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 (1729180, '_______jrm', '2021-10-06 10:26:45', '2021-10-06 10:28:06', 12, 4938488, -1, -1, '-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 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 created_at desc LIMIT 1 list_result_datou : [] 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 (1729180, '_______jrm', '2021-10-06 14:50:39', '2021-10-06 14:52:21', 12, 4756245, -1, -1, '-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 0.9380226135253906 # 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 : time spend for datou_step_exec : 6.446219205856323 time spend to save output : 6.532669067382812e-05 total time spend for step 1 : 6.446284532546997 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : True saveOutput not yet implemented for datou_step.type : split_time_score_with_photo we use saveGeneral [1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599, 1055003131, 1055002045, 1055001545, 1055001542, 1055001092, 1055001085, 1055000228, 1055000070, 1055000068, 1055000063, 1055000059, 1055000055, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679, 1055013727, 1055013724, 1055013693, 1055012727, 1055012722, 1055012686, 1055012684, 1055011740, 1055011733, 1055011726, 1055011459, 1055011454, 1055011441] map_info['map_portfolio_photo'] : {4608689: [1055013727, 1055013724, 1055013693, 1055012727, 1055012722, 1055012686, 1055012684, 1055011740, 1055011733, 1055011726, 1055011459, 1055011454, 1055011441, 1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679, 1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055003131, 1055002045, 1055001545, 1055001542, 1055001092, 1055001085, 1055000228, 1055000070, 1055000068, 1055000063, 1055000059, 1055000055]} final : True mtd_id 3787 list_pids : [1055003357, 1055003348, 1055003292, 1055003278, 1055003266, 1055003261, 1055003259, 1055003249, 1055003202, 1055003198, 1055003197, 1055003185, 1055003134, 1055011086, 1055011076, 1055011074, 1055011072, 1055010743, 1055010739, 1055010737, 1055010730, 1055010725, 1055010723, 1055010143, 1055008638, 1055008599, 1055003131, 1055002045, 1055001545, 1055001542, 1055001092, 1055001085, 1055000228, 1055000070, 1055000068, 1055000063, 1055000059, 1055000055, 1055008597, 1055008184, 1055008181, 1055007992, 1055007953, 1055007950, 1055004798, 1055004627, 1055004608, 1055004600, 1055004278, 1055004217, 1055003679, 1055013727, 1055013724, 1055013693, 1055012727, 1055012722, 1055012686, 1055012684, 1055011740, 1055011733, 1055011726, 1055011459, 1055011454, 1055011441] Looping around the photos to save general results len do output : 5 /[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [13, 14, 15, 16, 17, 18, 19], [21, 22, 23, 24, 25, 26, 27, 28], [30, 31, 32, 33, 34, 35, 36, 37], [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], [], [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]] /{'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]} /{4938484: {'list_of_photos': [1055000228, 1055000055, 1055003357, 1055007950, 1055003348, 1055007953, 1055000059, 1055007992, 1055008181, 1055003197, 1055003198, 1055008184], 'hashtag': 'jrm'}, 4938485: {'list_of_photos': [1055000063, 1055004600, 1055008597, 1055003134, 1055008599, 1055003679, 1055004627], 'hashtag': 'jrm'}, 4938486: {'list_of_photos': [1055004217, 1055010143, 1055004278, 1055010723, 1055003131, 1055003202, 1055010725, 1055000068], 'hashtag': 'jrm'}, 4938487: {'list_of_photos': [1055010737, 1055010739, 1055003278, 1055010743, 1055011072, 1055011074, 1055011076, 1055000070], 'hashtag': 'jrm'}, 4938488: {'list_of_photos': [1055011441, 1055011454, 1055003185, 1055011459, 1055001092, 1055001542, 1055003292, 1055011726, 1055011733, 1055011740, 1055012684, 1055002045], 'hashtag': 'jrm'}, 4756245: {'list_of_photos': [1055012722, 1055004798, 1055004608, 1055012727, 1055013693, 1055013724, 1055003249, 1055001545, 1055003259, 1055013727, 1055003266, 1055003261], 'hashtag': 'jrm'}} /{2107757407: 59} /{'amount_uploaded_and_tagged': {'06102021': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}}, 'map_amount_per_hashtag': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}, 'count': {'Rungis_jrm': [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]}} before output type Managing all output in save final without adding information in the mtr_datou_result ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003357', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003348', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003292', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003278', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003266', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003261', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003259', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003249', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003202', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003198', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003197', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003185', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003134', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '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', '1055003131', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055002045', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055001545', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055001542', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055001092', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055001085', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055000228', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055000070', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055000068', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055000063', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055000059', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055000055', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055008597', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055008184', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055008181', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055007992', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055007953', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055007950', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055004798', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055004627', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055004608', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055004600', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055004278', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055004217', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '1055003679', None, None, None, None, None, None) ('3787', None, None, None, None, None, None, None, None) ('3787', '4608689', '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) begin to insert list_values into mtr_datou_result : length of list_values in save_final : 64 insert ignore into MTRPhoto.mtr_datou_result (mtd_id, mtr_portfolio_id,mtr_photo_id,result,result_long,result_double,hashtag_id,proba, mtr_current_id) values (%s,%s,%s,%s,%s,%s,%s,%s,%s) on duplicate key update mtr_portfolio_id = mtr_portfolio_id list_values : [('3787', '4608689', '1055003357', None, None, None, None, None, None), ('3787', '4608689', '1055003348', None, None, None, None, None, None), ('3787', '4608689', '1055003292', None, None, None, None, None, None), ('3787', '4608689', '1055003278', None, None, None, None, None, None), ('3787', '4608689', '1055003266', None, None, None, None, None, None), ('3787', '4608689', '1055003261', None, None, None, None, None, None), ('3787', '4608689', '1055003259', None, None, None, None, None, None), ('3787', '4608689', '1055003249', None, None, None, None, None, None), ('3787', '4608689', '1055003202', None, None, None, None, None, None), ('3787', '4608689', '1055003198', None, None, None, None, None, None), ('3787', '4608689', '1055003197', None, None, None, None, None, None), ('3787', '4608689', '1055003185', None, None, None, None, None, None), ('3787', '4608689', '1055003134', None, None, None, None, None, None), ('3787', '4608689', '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', '1055003131', None, None, None, None, None, None), ('3787', '4608689', '1055002045', None, None, None, None, None, None), ('3787', '4608689', '1055001545', None, None, None, None, None, None), ('3787', '4608689', '1055001542', None, None, None, None, None, None), ('3787', '4608689', '1055001092', None, None, None, None, None, None), ('3787', '4608689', '1055001085', None, None, None, None, None, None), ('3787', '4608689', '1055000228', None, None, None, None, None, None), ('3787', '4608689', '1055000070', None, None, None, None, None, None), ('3787', '4608689', '1055000068', None, None, None, None, None, None), ('3787', '4608689', '1055000063', None, None, None, None, None, None), ('3787', '4608689', '1055000059', None, None, None, None, None, None), ('3787', '4608689', '1055000055', None, None, None, None, None, None), ('3787', '4608689', '1055008597', None, None, None, None, None, None), ('3787', '4608689', '1055008184', None, None, None, None, None, None), ('3787', '4608689', '1055008181', None, None, None, None, None, None), ('3787', '4608689', '1055007992', None, None, None, None, None, None), ('3787', '4608689', '1055007953', None, None, None, None, None, None), ('3787', '4608689', '1055007950', None, None, None, None, None, None), ('3787', '4608689', '1055004798', None, None, None, None, None, None), ('3787', '4608689', '1055004627', None, None, None, None, None, None), ('3787', '4608689', '1055004608', None, None, None, None, None, None), ('3787', '4608689', '1055004600', None, None, None, None, None, None), ('3787', '4608689', '1055004278', None, None, None, None, None, None), ('3787', '4608689', '1055004217', None, None, None, None, None, None), ('3787', '4608689', '1055003679', None, None, None, None, None, None), ('3787', '4608689', '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)] time used for this insertion : 0.05045890808105469 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 : 0.028853654861450195 #### 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 Thu Apr 17 03:43:04 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 : 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 3.5762786865234375e-06 elapsed_time : order_list_meta_photo_and_scores 7.62939453125e-06 ??? elapsed_time : fill_and_build_computed_from_old_data 0.0002334117889404297 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 0.025702476501464844 ---------- 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': 9917815, '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 2.6226043701171875e-06 elapsed_time : order_list_meta_photo_and_scores 5.9604644775390625e-06 ? elapsed_time : fill_and_build_computed_from_old_data 0.00016236305236816406 INSERT INTO `MTRPhoto`.`dashboard_entry_day` (`dashboard_place_id`, `mtr_portfolio_id`, `date`) VALUES ( 13, 4505992, '2021-09-21' ) ON DUPLICATE KEY UPDATE updated_at=NOW(); INSERT INTO `MTRPhoto`.`dashboard_run_ids` (`dashboard_entry_day`, `mtr_user_id`, `misc_info`) VALUES (145759,739,"{}"); elapsed_time : insert_dashboard_record_day_entry 0.022779226303100586 ---------- 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': 9917815, 'hashtag': '_______Plastique_fonce', 'completion_json': "{'url_report': ''}"}, {'dashboat_entry_day': 145759, 'dashboard_run_id': 152846, 'mtr_portfolio_id': 4505992, 'dashboard_result_id': 9917816, '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 : time spend for datou_step_exec : 2.536695718765259 time spend to save output : 6.198883056640625e-05 total time spend for step 1 : 2.536757707595825 caffe_path_current : 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 : 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 : 0.016696929931640625 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 : 0.029496431350708008 #### 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 Thu Apr 17 03:43:07 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 : 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 2.6226043701171875e-06 elapsed_time : order_list_meta_photo_and_scores 7.152557373046875e-06 ????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0014407634735107422 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 0.02449631690979004 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 0.01626110076904297 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 : 0.02128291130065918 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.049926042556762695 To do, maybe not at the correct place ! .................................force hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.0060770511627197266 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 0.02472972869873047 # 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 : time spend for datou_step_exec : 0.17838573455810547 time spend to save output : 4.4345855712890625e-05 total time spend for step 1 : 0.17843008041381836 caffe_path_current : 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 : 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 : 0.02563929557800293 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 (3750294453,3750294454,3750294455,3750294456,3750294457,3750294458,3750294459,3750294460,3750294461,3750294462) SELECT id FROM MTRPhoto.crop_hashtag_ids WHERE photo_id=996751167 AND `type`=2805 DELETE FROM MTRPhoto.crop_hashtag_ids WHERE id IN (3750294579,3750294552,3750294580,3750294559,3750294542,3750294556,3750294539,3750294570,3750294558,3750294549,3750294577,3750294561,3750294566,3750294567,3750294572,3750294569,3750294545,3750294574,3750294550,3750294553,3750294568,3750294576,3750294555,3750294560,3750294551,3750294541,3750294565,3750294571,3750294543,3750294538,3750294547,3750294540,3750294557,3750294575,3750294562,3750294548,3750294564,3750294563,3750294546,3750294573,3750294578,3750294544,3750294554,3750294537) 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 : 0.15095996856689453 #### 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 Thu Apr 17 03:43:08 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854188_1331777_998957128_f45017ffedbd1f7cb33fed47ac33648c.jpg': 998957128} map_photo_id_path_extension : {998957128: {'path': 'temp/1744854188_1331777_998957128_f45017ffedbd1f7cb33fed47ac33648c.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Begin step rle-unique-nms on traite la photo : temp/1744854188_1331777_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 : 0.4820108413696289 time for calcul the mask position with numpy : 0.004235506057739258 nb_pixel_total : 217207 time to create 1 rle with new method : 0.046983957290649414 time for calcul the mask position with numpy : 0.004576683044433594 nb_pixel_total : 1008 time to create 1 rle with old method : 0.002054452896118164 time for calcul the mask position with numpy : 0.0029261112213134766 nb_pixel_total : 751 time to create 1 rle with old method : 0.0008950233459472656 time for calcul the mask position with numpy : 0.002692699432373047 nb_pixel_total : 722 time to create 1 rle with old method : 0.0009064674377441406 time for calcul the mask position with numpy : 0.00267791748046875 nb_pixel_total : 2949 time to create 1 rle with old method : 0.0033936500549316406 time for calcul the mask position with numpy : 0.0026955604553222656 nb_pixel_total : 497 time to create 1 rle with old method : 0.0007915496826171875 time for calcul the mask position with numpy : 0.0031065940856933594 nb_pixel_total : 1086 time to create 1 rle with old method : 0.0013616085052490234 time for calcul the mask position with numpy : 0.0027306079864501953 nb_pixel_total : 1924 time to create 1 rle with old method : 0.0022020339965820312 time for calcul the mask position with numpy : 0.0027246475219726562 nb_pixel_total : 413 time to create 1 rle with old method : 0.0005412101745605469 time for calcul the mask position with numpy : 0.0026726722717285156 nb_pixel_total : 526 time to create 1 rle with old method : 0.0006632804870605469 create new chi : 0.09114670753479004 proportion hashtag : balle_pet_clair 0.23568467881944444 proportion hashtag : contaminant_du_pet_clair 0.010716145833333333 time to delete rle : 0.015314102172851562 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 : ('3751143209', '538', '174', '1') ... last line : ('3751143218', '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 : 0.17650675773620605 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 : time spend for datou_step_exec : 0.9013135433197021 time spend to save output : 8.416175842285156e-05 total time spend for step 1 : 0.901397705078125 caffe_path_current : 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 : 0.21653342247009277 #### 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 Thu Apr 17 03:43:09 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854189_1331777_1066511071_cca6b29b0253f105b76231d9c28fabe3.jpg': 1066511071} map_photo_id_path_extension : {1066511071: {'path': 'temp/1744854189_1331777_1066511071_cca6b29b0253f105b76231d9c28fabe3.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Begin step rle-unique-nms on traite la photo : temp/1744854189_1331777_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 : 0.027291536331176758 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 : time spend for datou_step_exec : 0.3603243827819824 time spend to save output : 4.9591064453125e-05 total time spend for step 1 : 0.36037397384643555 caffe_path_current : 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 : 0.23925065994262695 #### 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 Thu Apr 17 03:43:09 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854189_1331777_996751167_a4a67aed9b2473876b59443347f3912e.jpg': 996751167} map_photo_id_path_extension : {996751167: {'path': 'temp/1744854189_1331777_996751167_a4a67aed9b2473876b59443347f3912e.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Begin step rle-unique-nms on traite la photo : temp/1744854189_1331777_996751167_a4a67aed9b2473876b59443347f3912e.jpg batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 996751167) and `type` in (2596) and score>0.5and hashtag_id in (492622729,501120777) Loaded 91 chid ids of type : 2596 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (1855152024,1947270239,1947270255,1947270247,1855152035,1947270267,1947270236,1855152019,1855152044,1947270245,1855152040,1855152025,1947270251,1855152027,1947270250,1855152020,1947270237,1855152029,1947270241,1855152058,1947270274,1855152062,1855152061,1947270275,1947270277,1855152055,1855152052,1947270261,1855152046,1947270265,1855152021,1947270238,1947270269,1855152045,1947270276,1947270257,1855152054,1855152031,1947270263,1855152023,1855156849,1947270240,1855152042,1947270249,1855152047,1947270273,1947270258,1855152050,1947270270,1855152034,1855152039,1947270259,1855152063,1947270272,1855152038,1947270252,1855152026,1947270242,1855152049,1947270256,1855152048,1947270262,1855152056,1947270266,1947270271,1855152037,1855156850,1947270253,1855152033,1947270246,1855152030,1855152041,1947270260,1855152057,1855152036,1947270268,1855152043,1855152065,1855152064,1947270254,1855152060,1855152032,1947270243,1855152059,1855152051,1855152053,1947270264,1855152022,1947270248,1947270244,1855152028) +++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (1855152024,1947270239,1947270255,1947270247,1855152035,1947270267,1947270236,1855152019,1855152044,1947270245,1855152040,1855152025,1947270251,1855152027,1947270250,1855152020,1947270237,1855152029,1947270241,1855152058,1947270274,1855152062,1855152061,1947270275,1947270277,1855152055,1855152052,1947270261,1855152046,1947270265,1855152021,1947270238,1947270269,1855152045,1947270276,1947270257,1855152054,1855152031,1947270263,1855152023,1855156849,1947270240,1855152042,1947270249,1855152047,1947270273,1947270258,1855152050,1947270270,1855152034,1855152039,1947270259,1855152063,1947270272,1855152038,1947270252,1855152026,1947270242,1855152049,1947270256,1855152048,1947270262,1855152056,1947270266,1947270271,1855152037,1855156850,1947270253,1855152033,1947270246,1855152030,1855152041,1947270260,1855152057,1855152036,1947270268,1855152043,1855152065,1855152064,1947270254,1855152060,1855152032,1947270243,1855152059,1855152051,1855152053,1947270264,1855152022,1947270248,1947270244,1855152028) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (1855152024,1947270239,1947270255,1947270247,1855152035,1947270267,1947270236,1855152019,1855152044,1947270245,1855152040,1855152025,1947270251,1855152027,1947270250,1855152020,1947270237,1855152029,1947270241,1855152058,1947270274,1855152062,1855152061,1947270275,1947270277,1855152055,1855152052,1947270261,1855152046,1947270265,1855152021,1947270238,1947270269,1855152045,1947270276,1947270257,1855152054,1855152031,1947270263,1855152023,1855156849,1947270240,1855152042,1947270249,1855152047,1947270273,1947270258,1855152050,1947270270,1855152034,1855152039,1947270259,1855152063,1947270272,1855152038,1947270252,1855152026,1947270242,1855152049,1947270256,1855152048,1947270262,1855152056,1947270266,1947270271,1855152037,1855156850,1947270253,1855152033,1947270246,1855152030,1855152041,1947270260,1855152057,1855152036,1947270268,1855152043,1855152065,1855152064,1947270254,1855152060,1855152032,1947270243,1855152059,1855152051,1855152053,1947270264,1855152022,1947270248,1947270244,1855152028) nb_obj : 43 nb_hashtags : 2 time to prepare the origin masks : 15.16002082824707 time for calcul the mask position with numpy : 0.2877376079559326 nb_pixel_total : 5233657 time to create 1 rle with new method : 0.7635538578033447 time for calcul the mask position with numpy : 0.033411264419555664 nb_pixel_total : 11972 time to create 1 rle with old method : 0.013723134994506836 time for calcul the mask position with numpy : 0.03346419334411621 nb_pixel_total : 15054 time to create 1 rle with old method : 0.017052173614501953 time for calcul the mask position with numpy : 0.03237628936767578 nb_pixel_total : 13954 time to create 1 rle with old method : 0.015346050262451172 time for calcul the mask position with numpy : 0.03238511085510254 nb_pixel_total : 4888 time to create 1 rle with old method : 0.00571441650390625 time for calcul the mask position with numpy : 0.05134940147399902 nb_pixel_total : 1188492 time to create 1 rle with new method : 0.48687267303466797 time for calcul the mask position with numpy : 0.03468728065490723 nb_pixel_total : 184585 time to create 1 rle with new method : 0.5879216194152832 time for calcul the mask position with numpy : 0.03207731246948242 nb_pixel_total : 18620 time to create 1 rle with old method : 0.02040553092956543 time for calcul the mask position with numpy : 0.03300738334655762 nb_pixel_total : 62945 time to create 1 rle with old method : 0.06688499450683594 time for calcul the mask position with numpy : 0.03297734260559082 nb_pixel_total : 9427 time to create 1 rle with old method : 0.010784149169921875 time for calcul the mask position with numpy : 0.03355717658996582 nb_pixel_total : 9081 time to create 1 rle with old method : 0.012206554412841797 time for calcul the mask position with numpy : 0.040427446365356445 nb_pixel_total : 15987 time to create 1 rle with old method : 0.01793074607849121 time for calcul the mask position with numpy : 0.03385019302368164 nb_pixel_total : 33276 time to create 1 rle with old method : 0.03709006309509277 time for calcul the mask position with numpy : 0.03285646438598633 nb_pixel_total : 17533 time to create 1 rle with old method : 0.020292043685913086 time for calcul the mask position with numpy : 0.0324099063873291 nb_pixel_total : 4876 time to create 1 rle with old method : 0.005560874938964844 time for calcul the mask position with numpy : 0.033432722091674805 nb_pixel_total : 25226 time to create 1 rle with old method : 0.028284072875976562 time for calcul the mask position with numpy : 0.03352808952331543 nb_pixel_total : 30773 time to create 1 rle with old method : 0.03351926803588867 time for calcul the mask position with numpy : 0.032891035079956055 nb_pixel_total : 65671 time to create 1 rle with old method : 0.07199430465698242 time for calcul the mask position with numpy : 0.03332948684692383 nb_pixel_total : 12230 time to create 1 rle with old method : 0.013931751251220703 time for calcul the mask position with numpy : 0.0360260009765625 nb_pixel_total : 29560 time to create 1 rle with old method : 0.03550076484680176 time for calcul the mask position with numpy : 0.03370022773742676 nb_pixel_total : 14310 time to create 1 rle with old method : 0.01644444465637207 time for calcul the mask position with numpy : 0.034368038177490234 nb_pixel_total : 15117 time to create 1 rle with old method : 0.01787567138671875 time for calcul the mask position with numpy : 0.04067230224609375 nb_pixel_total : 301487 time to create 1 rle with new method : 0.5085270404815674 time for calcul the mask position with numpy : 0.032251834869384766 nb_pixel_total : 29821 time to create 1 rle with old method : 0.03567647933959961 time for calcul the mask position with numpy : 0.047788381576538086 nb_pixel_total : 40299 time to create 1 rle with old method : 0.05930757522583008 time for calcul the mask position with numpy : 0.037592411041259766 nb_pixel_total : 12680 time to create 1 rle with old method : 0.015856266021728516 time for calcul the mask position with numpy : 0.04118633270263672 nb_pixel_total : 9449 time to create 1 rle with old method : 0.014834880828857422 time for calcul the mask position with numpy : 0.03495526313781738 nb_pixel_total : 15168 time to create 1 rle with old method : 0.024136781692504883 time for calcul the mask position with numpy : 0.03768610954284668 nb_pixel_total : 11140 time to create 1 rle with old method : 0.012703895568847656 time for calcul the mask position with numpy : 0.03371477127075195 nb_pixel_total : 29065 time to create 1 rle with old method : 0.03353548049926758 time for calcul the mask position with numpy : 0.04480123519897461 nb_pixel_total : 22774 time to create 1 rle with old method : 0.025368690490722656 time for calcul the mask position with numpy : 0.03341054916381836 nb_pixel_total : 13880 time to create 1 rle with old method : 0.015471696853637695 time for calcul the mask position with numpy : 0.03767991065979004 nb_pixel_total : 155366 time to create 1 rle with new method : 0.6930406093597412 time for calcul the mask position with numpy : 0.03369784355163574 nb_pixel_total : 63941 time to create 1 rle with old method : 0.07016372680664062 time for calcul the mask position with numpy : 0.03367257118225098 nb_pixel_total : 7836 time to create 1 rle with old method : 0.00951075553894043 time for calcul the mask position with numpy : 0.03812909126281738 nb_pixel_total : 7460 time to create 1 rle with old method : 0.011856317520141602 time for calcul the mask position with numpy : 0.03808236122131348 nb_pixel_total : 44600 time to create 1 rle with old method : 0.05023503303527832 time for calcul the mask position with numpy : 0.03238058090209961 nb_pixel_total : 11879 time to create 1 rle with old method : 0.012934446334838867 time for calcul the mask position with numpy : 0.031995296478271484 nb_pixel_total : 44195 time to create 1 rle with old method : 0.04748964309692383 time for calcul the mask position with numpy : 0.032134056091308594 nb_pixel_total : 23652 time to create 1 rle with old method : 0.02511119842529297 time for calcul the mask position with numpy : 0.0319521427154541 nb_pixel_total : 30006 time to create 1 rle with old method : 0.03298497200012207 time for calcul the mask position with numpy : 0.03221487998962402 nb_pixel_total : 15880 time to create 1 rle with old method : 0.01762223243713379 time for calcul the mask position with numpy : 0.03220844268798828 nb_pixel_total : 29845 time to create 1 rle with old method : 0.03314995765686035 time for calcul the mask position with numpy : 0.03417158126831055 nb_pixel_total : 144263 time to create 1 rle with old method : 0.17937302589416504 create new chi : 6.179073095321655 proportion hashtag : error 0.14340033061450744 proportion hashtag : environment 0.209023722085841 proportion hashtag : pet_fonce 0.6475759472996516 time to delete rle : 0.39336585998535156 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 : ('3751143229', '0', '0', '3280') ... last line : ('3751143272', '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 : 1.602794885635376 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 : time spend for datou_step_exec : 23.598342657089233 time spend to save output : 0.0001327991485595703 total time spend for step 1 : 23.598475456237793 caffe_path_current : 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 (3751143209,3751143210,3751143211,3751143212,3751143213,3751143214,3751143215,3751143216,3751143217,3751143218,3751143229,3751143230,3751143231,3751143232,3751143233,3751143234,3751143235,3751143236,3751143237,3751143238,3751143239,3751143240,3751143241,3751143242,3751143243,3751143244,3751143245,3751143246,3751143247,3751143248,3751143249,3751143250,3751143251,3751143252,3751143253,3751143254,3751143255,3751143256,3751143257,3751143258,3751143259,3751143260,3751143261,3751143262,3751143263,3751143264,3751143265,3751143266,3751143267,3751143268,3751143269,3751143270,3751143271,3751143272) SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3751143209,3751143210,3751143211,3751143212,3751143213,3751143214,3751143215,3751143216,3751143217,3751143218,3751143229,3751143230,3751143231,3751143232,3751143233,3751143234,3751143235,3751143236,3751143237,3751143238,3751143239,3751143240,3751143241,3751143242,3751143243,3751143244,3751143245,3751143246,3751143247,3751143248,3751143249,3751143250,3751143251,3751143252,3751143253,3751143254,3751143255,3751143256,3751143257,3751143258,3751143259,3751143260,3751143261,3751143262,3751143263,3751143264,3751143265,3751143266,3751143267,3751143268,3751143269,3751143270,3751143271,3751143272) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3751143209,3751143210,3751143211,3751143212,3751143213,3751143214,3751143215,3751143216,3751143217,3751143218,3751143229,3751143230,3751143231,3751143232,3751143233,3751143234,3751143235,3751143236,3751143237,3751143238,3751143239,3751143240,3751143241,3751143242,3751143243,3751143244,3751143245,3751143246,3751143247,3751143248,3751143249,3751143250,3751143251,3751143252,3751143253,3751143254,3751143255,3751143256,3751143257,3751143258,3751143259,3751143260,3751143261,3751143262,3751143263,3751143264,3751143265,3751143266,3751143267,3751143268,3751143269,3751143270,3751143271,3751143272) 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 : 0.15491104125976562 #### 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 Thu Apr 17 03:43:36 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854216_1331777_1006293201_ac133c4479fdab9f9d690f3bcbac83df.jpg': 1006293201} map_photo_id_path_extension : {1006293201: {'path': 'temp/1744854216_1331777_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/1744854219_1331777 we have uploaded 4 photos in the portfolio 3287159 time of upload the photos Elapsed time : 2.457773208618164 After datou_step_exec type output : time spend for datou_step_exec : 4.640696048736572 time spend to save output : 7.700920104980469e-05 total time spend for step 1 : 4.640773057937622 caffe_path_current : 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 /1350609454Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350609455Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350609456Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350609457Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : 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, '1350609454', 'None', None, None, None, None, None), ('2896', None, '1350609455', 'None', None, None, None, None, None), ('2896', None, '1350609456', 'None', None, None, None, None, None), ('2896', None, '1350609457', 'None', None, None, None, None, None), ('2896', '3288640', '1006293201', None, None, None, None, None, None)] time used for this insertion : 0.013515949249267578 save_final save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {1350609454: ['1006293201', 'temp/1006293201_random_deformation_0.png', []], 1350609455: ['1006293201', 'temp/1006293201_random_deformation_1.png', []], 1350609456: ['1006293201', 'temp/1006293201_random_deformation_2.png', []], 1350609457: ['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 : 0.49641966819763184 #### 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 Thu Apr 17 03:43:42 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53.jpg': 1008283903} map_photo_id_path_extension : {1008283903: {'path': 'temp/1744854221_1331777_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) : type(crop_hashtag_type_tiled) : 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/1744854221_1331777_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 : 22117279 with name results_test_tile feed_id_new_photos : 22117279 filename : temp/1744854221_1331777_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 : [] calcul des nouveaux crops pour le tile x0:1280,x1:1920,y0:1280,y1:1920 calcul avec la methode originale chi selectionnes : [] calcul des nouveaux crops pour le tile x0:1280,x1:1920,y0:1824,y1:2464 calcul avec la methode originale chi selectionnes : [] calcul des nouveaux crops pour le tile x0:1920,x1:2560,y0:0,y1:640 calcul avec la methode originale chi selectionnes : [] calcul des nouveaux crops pour le tile x0:1920,x1:2560,y0:640,y1:1280 calcul avec la methode originale chi selectionnes : [] calcul des nouveaux crops pour le tile x0:1920,x1:2560,y0:1280,y1:1920 calcul avec la methode originale chi selectionnes : [] calcul des nouveaux crops pour le tile x0:1920,x1:2560,y0:1824,y1:2464 calcul avec la methode originale chi selectionnes : [] 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/1744854221_1331777_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 : 0.325042724609375 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/1744854229_1331777 INSERT ignore into MTRUser.mtr_portfolio_photos (`mtr_portfolio_id`, `mtr_photo_id`, `mtr_user_id`, `created_at`) VALUES (22117279, 1350609469, 0, NOW()),(22117279, 1350609470, 0, NOW()),(22117279, 1350609471, 0, NOW()),(22117279, 1350609472, 0, NOW()),(22117279, 1350609473, 0, NOW()),(22117279, 1350609474, 0, NOW()),(22117279, 1350609475, 0, NOW()),(22117279, 1350609476, 0, NOW()),(22117279, 1350609477, 0, NOW()),(22117279, 1350609478, 0, NOW()),(22117279, 1350609479, 0, NOW()),(22117279, 1350609480, 0, NOW()),(22117279, 1350609482, 0, NOW()),(22117279, 1350609483, 0, NOW()),(22117279, 1350609485, 0, NOW()),(22117279, 1350609486, 0, NOW()),(22117279, 1350609487, 0, NOW()),(22117279, 1350609488, 0, NOW()),(22117279, 1350609489, 0, NOW()),(22117279, 1350609490, 0, NOW()),(22117279, 1350609491, 0, NOW()),(22117279, 1350609492, 0, NOW()),(22117279, 1350609493, 0, NOW()),(22117279, 1350609494, 0, NOW()) 24 we have uploaded 24 photos in the portfolio 22117279 Importing ! upload mediasElapsed time : 6.846498250961304 , 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, 1350609469, 0), (1930014931, 1350609470, 0), (1930014932, 1350609471, 0), (1930014933, 1350609472, 0), (1930014934, 1350609473, 0), (1930014935, 1350609474, 0), (1930014936, 1350609475, 0), (1930014937, 1350609476, 0), (1930014938, 1350609477, 0), (1930014939, 1350609478, 0), (1930014940, 1350609479, 0), (1930014941, 1350609480, 0), (1930014942, 1350609482, 0), (1930014943, 1350609483, 0), (1930014944, 1350609485, 0), (1930014945, 1350609486, 0), (1930014946, 1350609487, 0), (1930014947, 1350609488, 0), (1930014948, 1350609489, 0), (1930014949, 1350609490, 0), (1930014950, 1350609491, 0), (1930014951, 1350609492, 0), (1930014952, 1350609493, 0), (1930014953, 1350609494, 0)] Saving 7 CHIs. list_chi_tile : [": {'photo_id': 1350609478, '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}", ": {'photo_id': 1350609479, 'hashtag_id': 511548407, 'type': 3243, 'x0': 180, 'x1': 640, 'y0': 0, 'y1': 640, 'score': 1.0, 'id': 0, 'points': ['311,11,292,25,268,58,240,82,229,100,223,127,188,148,181,171,180,226,186,327,211,393,216,463,211,472,211,487,238,640,244,640,242,640,261,640,275,640,298,640,357,640,380,640,409,640,548,640,557,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,625,640,566,640,542,640,454,640,388,640,346,640,295,640,246,640,125,640,99,640,63,640,28,640,27,640,17,640,8,640,9,640,0,640,0,640,0,640,0,576,0,543,0,490,0,424,0,352,0', '311,11,292,25,268,58,240,82,229,100,223,127,188,148,181,171,180,226,186,327,211,393,216,463,211,472,211,487,238,640,244,640,242,640,261,640,275,640,298,640,357,640,380,640,409,640,548,640,557,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,640,625,640,566,640,542,640,454,640,388,640,346,640,295,640,246,640,125,640,99,640,63,640,28,640,27,640,17,640,8,640,9,640,0,640,0,640,0,640,0,576,0,543,0,490,0,424,0,352,0'], 'sub_photo_id': 0, 'rles': [[1929991390, 351, 0, 289], [1929991390, 347, 1, 293], [1929991390, 344, 2, 296], [1929991390, 340, 3, 300], [1929991390, 336, 4, 304], [1929991390, 332, 5, 308], [1929991390, 328, 6, 312], [1929991390, 325, 7, 315], [1929991390, 321, 8, 319], [1929991390, 317, 9, 323], [1929991390, 313, 10, 327], [1929991390, 311, 11, 329], [1929991390, 309, 12, 331], [1929991390, 308, 13, 332], [1929991390, 307, 14, 333], [1929991390, 305, 15, 335], [1929991390, 304, 16, 336], [1929991390, 303, 17, 337], [1929991390, 301, 18, 339], [1929991390, 300, 19, 340], [1929991390, 299, 20, 341], [1929991390, 297, 21, 343], [1929991390, 296, 22, 344], [1929991390, 295, 23, 345], [1929991390, 293, 24, 347], [1929991390, 292, 25, 348], [1929991390, 291, 26, 349], [1929991390, 291, 27, 349], [1929991390, 290, 28, 350], [1929991390, 289, 29, 351], [1929991390, 288, 30, 352], [1929991390, 288, 31, 352], [1929991390, 287, 32, 353], [1929991390, 286, 33, 354], [1929991390, 285, 34, 355], [1929991390, 285, 35, 355], [1929991390, 284, 36, 356], [1929991390, 283, 37, 357], [1929991390, 283, 38, 357], [1929991390, 282, 39, 358], [1929991390, 281, 40, 359], [1929991390, 280, 41, 360], [1929991390, 280, 42, 360], [1929991390, 279, 43, 361], [1929991390, 278, 44, 362], [1929991390, 277, 45, 363], [1929991390, 277, 46, 363], [1929991390, 276, 47, 364], [1929991390, 275, 48, 365], [1929991390, 275, 49, 365], [1929991390, 274, 50, 366], [1929991390, 273, 51, 367], [1929991390, 272, 52, 368], [1929991390, 272, 53, 368], [1929991390, 271, 54, 369], [1929991390, 270, 55, 370], [1929991390, 269, 56, 371], [1929991390, 269, 57, 371], [1929991390, 268, 58, 372], [1929991390, 267, 59, 373], [1929991390, 266, 60, 374], [1929991390, 264, 61, 376], [1929991390, 263, 62, 377], [1929991390, 262, 63, 378], [1929991390, 261, 64, 379], [1929991390, 260, 65, 380], [1929991390, 259, 66, 381], [1929991390, 257, 67, 383], [1929991390, 256, 68, 384], [1929991390, 255, 69, 385], [1929991390, 254, 70, 386], [1929991390, 253, 71, 387], [1929991390, 252, 72, 388], [1929991390, 250, 73, 390], [1929991390, 249, 74, 391], [1929991390, 248, 75, 392], [1929991390, 247, 76, 393], [1929991390, 246, 77, 394], [1929991390, 245, 78, 395], [1929991390, 243, 79, 397], [1929991390, 242, 80, 398], [1929991390, 241, 81, 399], [1929991390, 240, 82, 400], [1929991390, 239, 83, 401], [1929991390, 239, 84, 401], [1929991390, 238, 85, 402], [1929991390, 238, 86, 402], [1929991390, 237, 87, 403], [1929991390, 236, 88, 404], [1929991390, 236, 89, 404], [1929991390, 235, 90, 405], [1929991390, 234, 91, 406], [1929991390, 234, 92, 406], [1929991390, 233, 93, 407], [1929991390, 233, 94, 407], [1929991390, 232, 95, 408], [1929991390, 231, 96, 409], [1929991390, 231, 97, 409], [1929991390, 230, 98, 410], [1929991390, 230, 99, 410], [1929991390, 229, 100, 411], [1929991390, 229, 101, 411], [1929991390, 229, 102, 411], [1929991390, 228, 103, 412], [1929991390, 228, 104, 412], [1929991390, 228, 105, 412], [1929991390, 228, 106, 412], [1929991390, 227, 107, 413], [1929991390, 227, 108, 413], [1929991390, 227, 109, 413], [1929991390, 227, 110, 413], [1929991390, 227, 111, 413], [1929991390, 226, 112, 414], [1929991390, 226, 113, 414], [1929991390, 226, 114, 414], [1929991390, 226, 115, 414], [1929991390, 225, 116, 415], [1929991390, 225, 117, 415], [1929991390, 225, 118, 415], [1929991390, 225, 119, 415], [1929991390, 225, 120, 415], [1929991390, 224, 121, 416], [1929991390, 224, 122, 416], [1929991390, 224, 123, 416], [1929991390, 224, 124, 416], [1929991390, 223, 125, 417], [1929991390, 223, 126, 417], [1929991390, 223, 127, 417], [1929991390, 221, 128, 419], [1929991390, 219, 129, 421], [1929991390, 218, 130, 422], [1929991390, 216, 131, 424], [1929991390, 214, 132, 426], [1929991390, 213, 133, 427], [1929991390, 211, 134, 429], [1929991390, 209, 135, 431], [1929991390, 208, 136, 432], [1929991390, 206, 137, 434], [1929991390, 204, 138, 436], [1929991390, 203, 139, 437], [1929991390, 201, 140, 439], [1929991390, 199, 141, 441], [1929991390, 198, 142, 442], [1929991390, 196, 143, 444], [1929991390, 194, 144, 446], [1929991390, 193, 145, 447], [1929991390, 191, 146, 449], [1929991390, 189, 147, 451], [1929991390, 188, 148, 452], [1929991390, 188, 149, 452], [1929991390, 187, 150, 453], [1929991390, 187, 151, 453], [1929991390, 187, 152, 453], [1929991390, 186, 153, 454], [1929991390, 186, 154, 454], [1929991390, 186, 155, 454], [1929991390, 186, 156, 454], [1929991390, 185, 157, 455], [1929991390, 185, 158, 455], [1929991390, 185, 159, 455], [1929991390, 184, 160, 456], [1929991390, 184, 161, 456], [1929991390, 184, 162, 456], [1929991390, 183, 163, 457], [1929991390, 183, 164, 457], [1929991390, 183, 165, 457], [1929991390, 183, 166, 457], [1929991390, 182, 167, 458], [1929991390, 182, 168, 458], [1929991390, 182, 169, 458], [1929991390, 181, 170, 459], [1929991390, 181, 171, 459], [1929991390, 181, 172, 459], [1929991390, 181, 173, 459], [1929991390, 181, 174, 459], [1929991390, 181, 175, 459], [1929991390, 181, 176, 459], [1929991390, 181, 177, 459], [1929991390, 181, 178, 459], [1929991390, 181, 179, 459], [1929991390, 181, 180, 459], [1929991390, 181, 181, 459], [1929991390, 181, 182, 459], [1929991390, 181, 183, 459], [1929991390, 181, 184, 459], [1929991390, 181, 185, 459], [1929991390, 181, 186, 459], [1929991390, 181, 187, 459], [1929991390, 181, 188, 459], [1929991390, 181, 189, 459], [1929991390, 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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 : ('3751143297', '487', '611', '30') ... last line : ('3751143303', '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 : 7.089931964874268 map_pid_results : {'1350609469': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_0.jpg'], '1350609470': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_1.jpg'], '1350609471': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_2.jpg'], '1350609472': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_3.jpg'], '1350609473': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_4.jpg'], '1350609474': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_5.jpg'], '1350609475': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_6.jpg'], '1350609476': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_7.jpg'], '1350609477': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_8.jpg'], '1350609478': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_9.jpg'], '1350609479': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_10.jpg'], '1350609480': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_11.jpg'], '1350609482': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_12.jpg'], '1350609483': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_13.jpg'], '1350609485': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_14.jpg'], '1350609486': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_15.jpg'], '1350609487': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_16.jpg'], '1350609488': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_17.jpg'], '1350609489': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_18.jpg'], '1350609490': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_19.jpg'], '1350609491': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_20.jpg'], '1350609492': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_21.jpg'], '1350609493': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_22.jpg'], '1350609494': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_23.jpg']} After datou_step_exec type output : time spend for datou_step_exec : 13.504451036453247 time spend to save output : 6.67572021484375e-05 total time spend for step 1 : 13.504517793655396 caffe_path_current : About to save ! 0 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {'1350609469': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_0.jpg'], '1350609470': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_1.jpg'], '1350609471': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_2.jpg'], '1350609472': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_3.jpg'], '1350609473': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_4.jpg'], '1350609474': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_5.jpg'], '1350609475': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_6.jpg'], '1350609476': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_7.jpg'], '1350609477': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_8.jpg'], '1350609478': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_9.jpg'], '1350609479': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_10.jpg'], '1350609480': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_11.jpg'], '1350609482': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_12.jpg'], '1350609483': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_13.jpg'], '1350609485': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_14.jpg'], '1350609486': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_15.jpg'], '1350609487': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_16.jpg'], '1350609488': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_17.jpg'], '1350609489': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_18.jpg'], '1350609490': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_19.jpg'], '1350609491': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_20.jpg'], '1350609492': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_21.jpg'], '1350609493': ['temp/1744854221_1331777_1008283903_6d008d31a1477b2e98cbafa96bd48e53_22.jpg'], '1350609494': ['temp/1744854221_1331777_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 ( 1350609469,1350609470,1350609471,1350609472,1350609473,1350609474,1350609475,1350609476,1350609477,1350609478,1350609479,1350609480,1350609482,1350609483,1350609485,1350609486,1350609487,1350609488,1350609489,1350609490,1350609491,1350609492,1350609493,1350609494) 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 (3751143297,3751143298,3751143299,3751143300,3751143301,3751143302,3751143303) ++WARNING : duplicated polygon, we should remove this data for chi_id : 3751143297. Ignored now ++WARNING : duplicated polygon, we should remove this data for chi_id : 3751143298. Ignored now ++WARNING : duplicated polygon, we should remove this data for chi_id : 3751143299. Ignored now ++WARNING : duplicated polygon, we should remove this data for chi_id : 3751143300. Ignored now ++WARNING : duplicated polygon, we should remove this data for chi_id : 3751143301. Ignored now ++WARNING : duplicated polygon, we should remove this data for chi_id : 3751143302. Ignored now ++WARNING : duplicated polygon, we should remove this data for chi_id : 3751143303. Ignored now SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3751143297,3751143298,3751143299,3751143300,3751143301,3751143302,3751143303) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3751143297,3751143298,3751143299,3751143300,3751143301,3751143302,3751143303) 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 : 0.2786831855773926 #### 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 Thu Apr 17 03:43:55 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg': 1003369118} map_photo_id_path_extension : {1003369118: {'path': 'temp/1744854235_1331777_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: [, , , , , , , , , , , , , , , ]} https://marlene.fotonower.com/api/v1/secured/portfolio/new?access_token=78d09a0790ec6ecbf119343125a81fdc feed_id_new_photos : 22117280 photo_id in download_rotate_and_save : 1003369118 list_chi_loc : 16 Use all angle ! Rotation of photo 1003369118 of 0 degree temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [, , , , , , , , , , , , , , , ] 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 : 0.010023117065429688 nb_pixel_total : 110633 time to create 1 rle with old method : 0.11969661712646484 .time for calcul the mask position with numpy : 0.009185552597045898 nb_pixel_total : 15826 time to create 1 rle with old method : 0.01768803596496582 .time for calcul the mask position with numpy : 0.013659954071044922 nb_pixel_total : 5286 time to create 1 rle with old method : 0.0060062408447265625 .time for calcul the mask position with numpy : 0.009257793426513672 nb_pixel_total : 1633 time to create 1 rle with old method : 0.0018756389617919922 .time for calcul the mask position with numpy : 0.009833335876464844 nb_pixel_total : 105533 time to create 1 rle with old method : 0.11623883247375488 .time for calcul the mask position with numpy : 0.010111808776855469 nb_pixel_total : 4393 time to create 1 rle with old method : 0.0054552555084228516 .time for calcul the mask position with numpy : 0.011518239974975586 nb_pixel_total : 632 time to create 1 rle with old method : 0.0007641315460205078 .time for calcul the mask position with numpy : 0.015969276428222656 nb_pixel_total : 62627 time to create 1 rle with old method : 0.06791353225708008 .time for calcul the mask position with numpy : 0.009409427642822266 nb_pixel_total : 33681 time to create 1 rle with old method : 0.036719322204589844 .time for calcul the mask position with numpy : 0.009911298751831055 nb_pixel_total : 37724 time to create 1 rle with old method : 0.06168818473815918 .time for calcul the mask position with numpy : 0.009039878845214844 nb_pixel_total : 48775 time to create 1 rle with old method : 0.0633687973022461 .time for calcul the mask position with numpy : 0.041721343994140625 nb_pixel_total : 1171703 time to create 1 rle with new method : 0.27760910987854004 .time for calcul the mask position with numpy : 0.008901119232177734 nb_pixel_total : 2310 time to create 1 rle with old method : 0.0025565624237060547 .time for calcul the mask position with numpy : 0.008786439895629883 nb_pixel_total : 2256 time to create 1 rle with old method : 0.002649545669555664 .time for calcul the mask position with numpy : 0.012250661849975586 nb_pixel_total : 3112 time to create 1 rle with old method : 0.004732847213745117 .time for calcul the mask position with numpy : 0.010775089263916016 nb_pixel_total : 1662 time to create 1 rle with old method : 0.002261638641357422 .len(list_crops_rotate) : 16 list_crops_rotate : : {'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, 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(-1, 1124, 1267, 70), (-1, 1125, 1268, 69), (-1, 1125, 1269, 70), (-1, 1125, 1270, 70), (-1, 1125, 1271, 71), (-1, 1125, 1272, 71), (-1, 1126, 1273, 71), (-1, 1126, 1274, 71), (-1, 1126, 1275, 72), (-1, 1126, 1276, 72), (-1, 1127, 1277, 71), (-1, 1127, 1278, 72), (-1, 1127, 1279, 72), (-1, 1154, 1280, 45), (-1, 1156, 1281, 44), (-1, 1158, 1282, 42), (-1, 1160, 1283, 40), (-1, 1161, 1284, 39), (-1, 1163, 1285, 37), (-1, 1165, 1286, 35), (-1, 1166, 1287, 34), (-1, 1168, 1288, 32), (-1, 1170, 1289, 29), (-1, 1172, 1290, 27), (-1, 1173, 1291, 26), (-1, 1175, 1292, 24), (-1, 1176, 1293, 23), (-1, 1177, 1294, 22), (-1, 1179, 1295, 20), (-1, 1180, 1296, 19), (-1, 1181, 1297, 15), (-1, 1183, 1298, 9), (-1, 1184, 1299, 3)], 'hashtag': '', 'sum_segment': 0},: {'photo_id': 0, 'hashtag_id': 493012381, 'type': 3230, 'x0': 311, 'x1': 371, 'y0': 832, 'y1': 907, 'score': 1.0, 'id': None, 'points': ['311,841,362,907,371,901,347,864,356,855,352,841,346,832,328,837'], 'sub_photo_id': 0, 'rles': [(-1, 345, 832, 2), (-1, 341, 833, 7), (-1, 338, 834, 10), (-1, 334, 835, 15), (-1, 330, 836, 20), (-1, 326, 837, 24), (-1, 322, 838, 29), (-1, 318, 839, 34), (-1, 314, 840, 38), (-1, 311, 841, 42), (-1, 312, 842, 41), (-1, 313, 843, 41), (-1, 313, 844, 41), (-1, 314, 845, 40), (-1, 315, 846, 39), (-1, 316, 847, 39), (-1, 316, 848, 39), (-1, 317, 849, 38), (-1, 318, 850, 38), (-1, 319, 851, 37), (-1, 319, 852, 37), (-1, 320, 853, 36), (-1, 321, 854, 36), (-1, 322, 855, 35), (-1, 323, 856, 33), (-1, 323, 857, 32), (-1, 324, 858, 30), (-1, 325, 859, 28), (-1, 326, 860, 26), (-1, 326, 861, 25), (-1, 327, 862, 23), (-1, 328, 863, 21), (-1, 329, 864, 19), (-1, 330, 865, 19), (-1, 330, 866, 19), (-1, 331, 867, 19), (-1, 332, 868, 19), (-1, 333, 869, 18), (-1, 333, 870, 19), (-1, 334, 871, 19), (-1, 335, 872, 18), (-1, 336, 873, 18), (-1, 336, 874, 18), (-1, 337, 875, 18), (-1, 338, 876, 18), (-1, 339, 877, 17), (-1, 340, 878, 17), (-1, 340, 879, 18), (-1, 341, 880, 17), (-1, 342, 881, 17), (-1, 343, 882, 17), (-1, 343, 883, 17), (-1, 344, 884, 17), (-1, 345, 885, 17), (-1, 346, 886, 16), (-1, 347, 887, 16), (-1, 347, 888, 17), (-1, 348, 889, 16), (-1, 349, 890, 16), (-1, 350, 891, 16), (-1, 350, 892, 16), (-1, 351, 893, 16), (-1, 352, 894, 15), (-1, 353, 895, 15), (-1, 353, 896, 16), (-1, 354, 897, 15), (-1, 355, 898, 15), (-1, 356, 899, 15), (-1, 357, 900, 14), (-1, 357, 901, 15), (-1, 358, 902, 13), (-1, 359, 903, 10), (-1, 360, 904, 8), (-1, 360, 905, 6), (-1, 361, 906, 4), (-1, 362, 907, 1)], 'hashtag': '', 'sum_segment': 0} Rotation of photo 1003369118 of 90 degree temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [, , , , , , , , , , , , , , , ] 90 remove_crop_border : False version de PIL : 9.5.0 Needs to change image size ! [[ 6.123234e-17 1.000000e+00] [-1.000000e+00 6.123234e-17]] 90 [[ 6.123234e-17 1.000000e+00] [-1.000000e+00 6.123234e-17]] shrink_image : False len(list_crops) : 16 time for calcul the mask position with numpy : 0.009397745132446289 nb_pixel_total : 110633 time to create 1 rle with old method : 0.12666606903076172 .time for calcul the mask position with numpy : 0.008963346481323242 nb_pixel_total : 15826 time to create 1 rle with old method : 0.018850088119506836 .time for calcul the mask position with numpy : 0.01001119613647461 nb_pixel_total : 5286 time to create 1 rle with old method : 0.006522178649902344 .time for calcul the mask position with numpy : 0.009097814559936523 nb_pixel_total : 1633 time to create 1 rle with old method : 0.0019373893737792969 .time for calcul the mask position with numpy : 0.009711265563964844 nb_pixel_total : 105533 time to create 1 rle with old method : 0.11716866493225098 .time for calcul the mask position with numpy : 0.009512662887573242 nb_pixel_total : 4393 time to create 1 rle with old method : 0.004979133605957031 .time for calcul the mask position with numpy : 0.008681058883666992 nb_pixel_total : 632 time to create 1 rle with old method : 0.0007307529449462891 .time for calcul the mask position with numpy : 0.00995326042175293 nb_pixel_total : 62627 time to create 1 rle with old method : 0.07023954391479492 .time for calcul the mask position with numpy : 0.009053468704223633 nb_pixel_total : 33681 time to create 1 rle with old method : 0.037589311599731445 .time for calcul the mask position with numpy : 0.01027059555053711 nb_pixel_total : 37724 time to create 1 rle with old method : 0.04747176170349121 .time for calcul the mask position with numpy : 0.009614706039428711 nb_pixel_total : 48775 time to create 1 rle with old method : 0.054427146911621094 .time for calcul the mask position with numpy : 0.04490828514099121 nb_pixel_total : 1171703 time to create 1 rle with new method : 0.3339414596557617 .time for calcul the mask position with numpy : 0.009573698043823242 nb_pixel_total : 2310 time to create 1 rle with old method : 0.0027048587799072266 .time for calcul the mask position with numpy : 0.010057687759399414 nb_pixel_total : 2256 time to create 1 rle with old method : 0.0025916099548339844 .time for calcul the mask position with numpy : 0.009479761123657227 nb_pixel_total : 3112 time to create 1 rle with old method : 0.003625631332397461 .time for calcul the mask position with numpy : 0.009068012237548828 nb_pixel_total : 1662 time to create 1 rle with old method : 0.001972675323486328 .len(list_crops_rotate) : 16 list_crops_rotate : : {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1038, 'x1': 1438, 'y0': 1584, 'y1': 2158, 'score': 1.0, 'id': None, 'points': ['1038,2157,1108,2061,1182,1979,1230,1913,1204,1884,1245,1821,1279,1848,1288,1845,1440,1581,1438,2159'], 'sub_photo_id': 0, 'rles': [(-1, 1438, 1584, 1), (-1, 1437, 1585, 2), (-1, 1437, 1586, 2), (-1, 1436, 1587, 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8), (-1, 1252, 1043, 7), (-1, 1254, 1044, 5), (-1, 1255, 1045, 3), (-1, 1257, 1046, 1)], 'hashtag': '', 'sum_segment': 0},: {'photo_id': -1, 'hashtag_id': 493012381, 'type': 3230, 'x0': 832, 'x1': 907, 'y0': 1787, 'y1': 1847, 'score': 1.0, 'id': None, 'points': ['841,1847,907,1796,901,1787,864,1811,855,1802,841,1806,832,1812,837,1830'], 'sub_photo_id': 0, 'rles': [(-1, 901, 1787, 1), (-1, 899, 1788, 4), (-1, 898, 1789, 5), (-1, 896, 1790, 8), (-1, 895, 1791, 10), (-1, 893, 1792, 12), (-1, 891, 1793, 15), (-1, 890, 1794, 17), (-1, 888, 1795, 19), (-1, 887, 1796, 21), (-1, 885, 1797, 22), (-1, 884, 1798, 22), (-1, 882, 1799, 22), (-1, 881, 1800, 22), (-1, 879, 1801, 23), (-1, 854, 1802, 2), (-1, 878, 1802, 22), (-1, 850, 1803, 7), (-1, 876, 1803, 23), (-1, 847, 1804, 11), (-1, 875, 1804, 23), (-1, 843, 1805, 16), (-1, 873, 1805, 24), (-1, 841, 1806, 19), (-1, 871, 1806, 24), (-1, 839, 1807, 22), (-1, 870, 1807, 24), (-1, 838, 1808, 24), (-1, 868, 1808, 25), (-1, 836, 1809, 27), (-1, 867, 1809, 24), (-1, 835, 1810, 29), (-1, 865, 1810, 25), (-1, 833, 1811, 56), (-1, 832, 1812, 55), (-1, 832, 1813, 54), (-1, 833, 1814, 52), (-1, 833, 1815, 51), (-1, 833, 1816, 49), (-1, 833, 1817, 48), (-1, 834, 1818, 46), (-1, 834, 1819, 44), (-1, 834, 1820, 43), (-1, 835, 1821, 41), (-1, 835, 1822, 40), (-1, 835, 1823, 38), (-1, 835, 1824, 37), (-1, 836, 1825, 35), (-1, 836, 1826, 33), (-1, 836, 1827, 32), (-1, 836, 1828, 31), (-1, 837, 1829, 28), (-1, 837, 1830, 27), (-1, 837, 1831, 26), (-1, 837, 1832, 25), (-1, 838, 1833, 22), (-1, 838, 1834, 21), (-1, 838, 1835, 20), (-1, 838, 1836, 18), (-1, 839, 1837, 16), (-1, 839, 1838, 15), (-1, 839, 1839, 14), (-1, 839, 1840, 12), (-1, 840, 1841, 10), (-1, 840, 1842, 9), (-1, 840, 1843, 7), (-1, 840, 1844, 6), (-1, 841, 1845, 4), (-1, 841, 1846, 2), (-1, 841, 1847, 1)], 'hashtag': '', 'sum_segment': 0} Rotation of photo 1003369118 of 180 degree temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [, , , , , , , , , , , , , , , ] 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 : 0.013061046600341797 nb_pixel_total : 110633 time to create 1 rle with old method : 0.17163753509521484 .time for calcul the mask position with numpy : 0.00992584228515625 nb_pixel_total : 15826 time to create 1 rle with old method : 0.01844930648803711 .time for calcul the mask position with numpy : 0.009560346603393555 nb_pixel_total : 5286 time to create 1 rle with old method : 0.00630950927734375 .time for calcul the mask position with numpy : 0.00917673110961914 nb_pixel_total : 1633 time to create 1 rle with old method : 0.0019342899322509766 .time for calcul the mask position with numpy : 0.009649038314819336 nb_pixel_total : 105533 time to create 1 rle with old method : 0.11846399307250977 .time for calcul the mask position with numpy : 0.009736776351928711 nb_pixel_total : 4393 time to create 1 rle with old method : 0.005126237869262695 .time for calcul the mask position with numpy : 0.008858680725097656 nb_pixel_total : 632 time to create 1 rle with old method : 0.0007688999176025391 .time for calcul the mask position with numpy : 0.01162266731262207 nb_pixel_total : 62627 time to create 1 rle with old method : 0.07026028633117676 .time for calcul the mask position with numpy : 0.009678840637207031 nb_pixel_total : 33681 time to create 1 rle with old method : 0.037062883377075195 .time for calcul the mask position with numpy : 0.010519742965698242 nb_pixel_total : 37724 time to create 1 rle with old method : 0.04462480545043945 .time for calcul the mask position with numpy : 0.01509237289428711 nb_pixel_total : 48775 time to create 1 rle with old method : 0.055643320083618164 .time for calcul the mask position with numpy : 0.04023623466491699 nb_pixel_total : 1171703 time to create 1 rle with new method : 0.5463967323303223 .time for calcul the mask position with numpy : 0.011645793914794922 nb_pixel_total : 2310 time to create 1 rle with old method : 0.0041539669036865234 .time for calcul the mask position with numpy : 0.010385990142822266 nb_pixel_total : 2256 time to create 1 rle with old method : 0.0030591487884521484 .time for calcul the mask position with numpy : 0.01086878776550293 nb_pixel_total : 3112 time to create 1 rle with old method : 0.003545045852661133 .time for calcul the mask position with numpy : 0.010102987289428711 nb_pixel_total : 1662 time to create 1 rle with old method : 0.0019724369049072266 .len(list_crops_rotate) : 16 list_crops_rotate : : {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1584, 'x1': 2158, 'y0': 0, 'y1': 400, 'score': 1.0, 'id': None, 'points': ['2157,400,2061,330,1979,256,1913,208,1884,234,1821,193,1848,159,1845,150,1581,-2,2159,0'], 'sub_photo_id': 0, 'rles': [(-1, 1584, 0, 575), (-1, 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(-1, 223, 263, 19), (-1, 222, 264, 21), (-1, 222, 265, 21), (-1, 221, 266, 23), (-1, 221, 267, 23), (-1, 220, 268, 25), (-1, 220, 269, 25), (-1, 219, 270, 27), (-1, 220, 271, 26), (-1, 222, 272, 25), (-1, 224, 273, 23), (-1, 226, 274, 22), (-1, 228, 275, 20), (-1, 230, 276, 19), (-1, 231, 277, 18), (-1, 232, 278, 18), (-1, 234, 279, 16), (-1, 235, 280, 16), (-1, 236, 281, 15), (-1, 237, 282, 14), (-1, 238, 283, 14), (-1, 240, 284, 12), (-1, 241, 285, 12), (-1, 242, 286, 11), (-1, 243, 287, 11), (-1, 245, 288, 9), (-1, 246, 289, 8), (-1, 247, 290, 8), (-1, 248, 291, 7), (-1, 250, 292, 6), (-1, 251, 293, 5), (-1, 252, 294, 4), (-1, 253, 295, 4), (-1, 254, 296, 3), (-1, 256, 297, 2), (-1, 257, 298, 1)], 'hashtag': '', 'sum_segment': 0},: {'photo_id': -2, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 1487, 'x1': 1620, 'y0': 1392, 'y1': 1425, 'score': 1.0, 'id': None, 'points': ['1620,1425,1487,1417,1497,1392,1515,1392,1533,1396,1580,1411'], 'sub_photo_id': 0, 'rles': [(-1, 1497, 1392, 21), (-1, 1497, 1393, 25), (-1, 1496, 1394, 31), (-1, 1496, 1395, 35), (-1, 1495, 1396, 40), (-1, 1495, 1397, 43), (-1, 1495, 1398, 46), (-1, 1494, 1399, 50), (-1, 1494, 1400, 54), (-1, 1493, 1401, 58), (-1, 1493, 1402, 61), (-1, 1493, 1403, 64), (-1, 1492, 1404, 68), (-1, 1492, 1405, 71), (-1, 1491, 1406, 75), (-1, 1491, 1407, 79), (-1, 1491, 1408, 82), (-1, 1490, 1409, 86), (-1, 1490, 1410, 89), (-1, 1489, 1411, 93), (-1, 1489, 1412, 96), (-1, 1489, 1413, 99), (-1, 1488, 1414, 102), (-1, 1488, 1415, 105), (-1, 1487, 1416, 109), (-1, 1487, 1417, 112), (-1, 1496, 1418, 106), (-1, 1512, 1419, 93), (-1, 1529, 1420, 79), (-1, 1546, 1421, 64), (-1, 1562, 1422, 51), (-1, 1579, 1423, 37), (-1, 1596, 1424, 23), (-1, 1612, 1425, 9)], 'hashtag': '', 'sum_segment': 0},: {'photo_id': -2, 'hashtag_id': 2107752406, 'type': 3230, 'x0': 959, 'x1': 1046, 'y0': 139, 'y1': 204, 'score': 1.0, 'id': None, 'points': ['1046,180,1035,176,1031,158,1014,158,1005,158,986,147,974,138,960,141,959,155,962,164,966,171,980,182,1007,203,1013,203,1023,198,1032,195,1040,189'], 'sub_photo_id': 0, 'rles': [(-1, 972, 139, 3), (-1, 967, 140, 9), (-1, 963, 141, 15), (-1, 960, 142, 19), (-1, 960, 143, 20), (-1, 960, 144, 22), (-1, 960, 145, 23), (-1, 960, 146, 24), (-1, 960, 147, 26), (-1, 960, 148, 27), (-1, 960, 149, 29), (-1, 959, 150, 32), (-1, 959, 151, 34), (-1, 959, 152, 35), (-1, 959, 153, 37), (-1, 959, 154, 39), (-1, 959, 155, 40), (-1, 959, 156, 42), (-1, 959, 157, 44), (-1, 960, 158, 45), (-1, 960, 159, 72), (-1, 960, 160, 72), (-1, 961, 161, 71), (-1, 961, 162, 72), (-1, 961, 163, 72), (-1, 962, 164, 71), (-1, 962, 165, 71), (-1, 963, 166, 71), (-1, 963, 167, 71), (-1, 964, 168, 70), (-1, 964, 169, 70), (-1, 965, 170, 69), (-1, 965, 171, 70), (-1, 966, 172, 69), (-1, 967, 173, 68), (-1, 968, 174, 67), (-1, 970, 175, 66), (-1, 971, 176, 65), (-1, 972, 177, 65), (-1, 973, 178, 67), (-1, 975, 179, 67), (-1, 976, 180, 69), (-1, 977, 181, 70), (-1, 979, 182, 67), (-1, 980, 183, 66), (-1, 981, 184, 64), (-1, 982, 185, 62), (-1, 984, 186, 60), (-1, 985, 187, 58), (-1, 986, 188, 56), (-1, 988, 189, 54), (-1, 989, 190, 52), (-1, 990, 191, 50), (-1, 991, 192, 47), (-1, 993, 193, 44), (-1, 994, 194, 42), (-1, 995, 195, 39), (-1, 997, 196, 36), (-1, 998, 197, 33), (-1, 999, 198, 29), (-1, 1000, 199, 25), (-1, 1002, 200, 20), (-1, 1003, 201, 17), (-1, 1004, 202, 14), (-1, 1006, 203, 10), (-1, 1007, 204, 7)], 'hashtag': '', 'sum_segment': 0},: {'photo_id': -2, 'hashtag_id': 493012381, 'type': 3230, 'x0': 1787, 'x1': 1847, 'y0': 531, 'y1': 606, 'score': 1.0, 'id': None, 'points': ['1847,597,1796,531,1787,537,1811,574,1802,583,1806,597,1812,606,1830,601'], 'sub_photo_id': 0, 'rles': [(-1, 1796, 531, 1), (-1, 1794, 532, 4), (-1, 1793, 533, 6), (-1, 1791, 534, 8), (-1, 1790, 535, 10), (-1, 1788, 536, 13), (-1, 1787, 537, 15), (-1, 1788, 538, 14), (-1, 1788, 539, 15), (-1, 1789, 540, 15), (-1, 1790, 541, 15), (-1, 1790, 542, 16), (-1, 1791, 543, 15), (-1, 1792, 544, 15), (-1, 1792, 545, 16), (-1, 1793, 546, 16), (-1, 1793, 547, 16), (-1, 1794, 548, 16), (-1, 1795, 549, 16), (-1, 1795, 550, 17), (-1, 1796, 551, 16), (-1, 1797, 552, 16), (-1, 1797, 553, 17), (-1, 1798, 554, 17), (-1, 1799, 555, 17), (-1, 1799, 556, 17), (-1, 1800, 557, 17), (-1, 1801, 558, 17), (-1, 1801, 559, 18), (-1, 1802, 560, 17), (-1, 1803, 561, 17), (-1, 1803, 562, 18), (-1, 1804, 563, 18), (-1, 1805, 564, 18), (-1, 1805, 565, 18), (-1, 1806, 566, 18), (-1, 1806, 567, 19), (-1, 1807, 568, 19), (-1, 1808, 569, 18), (-1, 1808, 570, 19), (-1, 1809, 571, 19), (-1, 1810, 572, 19), (-1, 1810, 573, 19), (-1, 1811, 574, 19), (-1, 1810, 575, 21), (-1, 1809, 576, 23), (-1, 1808, 577, 25), (-1, 1807, 578, 26), (-1, 1806, 579, 28), (-1, 1805, 580, 30), (-1, 1804, 581, 32), (-1, 1803, 582, 33), (-1, 1802, 583, 35), (-1, 1802, 584, 36), (-1, 1803, 585, 36), (-1, 1803, 586, 37), (-1, 1803, 587, 37), (-1, 1803, 588, 38), (-1, 1804, 589, 38), (-1, 1804, 590, 39), (-1, 1804, 591, 39), (-1, 1805, 592, 39), (-1, 1805, 593, 40), (-1, 1805, 594, 41), (-1, 1805, 595, 41), (-1, 1806, 596, 41), (-1, 1806, 597, 42), (-1, 1807, 598, 38), (-1, 1807, 599, 34), (-1, 1808, 600, 29), (-1, 1809, 601, 24), (-1, 1809, 602, 20), (-1, 1810, 603, 15), (-1, 1811, 604, 10), (-1, 1811, 605, 7), (-1, 1812, 606, 2)], 'hashtag': '', 'sum_segment': 0} Rotation of photo 1003369118 of 270 degree temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg [, , , , , , , , , , , , , , , ] 270 remove_crop_border : False version de PIL : 9.5.0 Needs to change image size ! [[-1.8369702e-16 -1.0000000e+00] [ 1.0000000e+00 -1.8369702e-16]] 270 [[-1.8369702e-16 -1.0000000e+00] [ 1.0000000e+00 -1.8369702e-16]] shrink_image : False len(list_crops) : 16 time for calcul the mask position with numpy : 0.010004758834838867 nb_pixel_total : 110633 time to create 1 rle with old method : 0.12483429908752441 .time for calcul the mask position with numpy : 0.010118246078491211 nb_pixel_total : 15826 time to create 1 rle with old method : 0.025388717651367188 .time for calcul the mask position with numpy : 0.010883569717407227 nb_pixel_total : 5286 time to create 1 rle with old method : 0.006433010101318359 .time for calcul the mask position with numpy : 0.011141777038574219 nb_pixel_total : 1633 time to create 1 rle with old method : 0.0020210742950439453 .time for calcul the mask position with numpy : 0.01116180419921875 nb_pixel_total : 105533 time to create 1 rle with old method : 0.14555740356445312 .time for calcul the mask position with numpy : 0.011969327926635742 nb_pixel_total : 4393 time to create 1 rle with old method : 0.005882740020751953 .time for calcul the mask position with numpy : 0.010960578918457031 nb_pixel_total : 632 time to create 1 rle with old method : 0.0011162757873535156 .time for calcul the mask position with numpy : 0.010851144790649414 nb_pixel_total : 62627 time to create 1 rle with old method : 0.09072422981262207 .time for calcul the mask position with numpy : 0.011431455612182617 nb_pixel_total : 33681 time to create 1 rle with old method : 0.05372905731201172 .time for calcul the mask position with numpy : 0.010777711868286133 nb_pixel_total : 37724 time to create 1 rle with old method : 0.04151201248168945 .time for calcul the mask position with numpy : 0.010512351989746094 nb_pixel_total : 48775 time to create 1 rle with old method : 0.0530245304107666 .time for calcul the mask position with numpy : 0.0608363151550293 nb_pixel_total : 1171703 time to create 1 rle with new method : 0.24851036071777344 .time for calcul the mask position with numpy : 0.011266946792602539 nb_pixel_total : 2310 time to create 1 rle with old method : 0.003929853439331055 .time for calcul the mask position with numpy : 0.00982522964477539 nb_pixel_total : 2256 time to create 1 rle with old method : 0.002827882766723633 .time for calcul the mask position with numpy : 0.009722232818603516 nb_pixel_total : 3112 time to create 1 rle with old method : 0.003482341766357422 .time for calcul the mask position with numpy : 0.009917259216308594 nb_pixel_total : 1662 time to create 1 rle with old method : 0.001992464065551758 .len(list_crops_rotate) : 16 list_crops_rotate : : {'photo_id': -3, 'hashtag_id': 493012381, 'type': 3230, 'x0': 0, 'x1': 400, 'y0': 0, 'y1': 574, 'score': 1.0, 'id': None, 'points': ['400,0,330,96,256,178,208,244,234,273,193,336,159,309,150,312,-2,576,0,-1'], 'sub_photo_id': 0, 'rles': [(-1, 0, 0, 301), (-1, 0, 1, 401), (-1, 0, 2, 400), (-1, 0, 3, 400), (-1, 0, 4, 399), 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1196, 24), (-1, 142, 1197, 22), (-1, 142, 1198, 19), (-1, 150, 1199, 8)], 'hashtag': '', 'sum_segment': 0},: {'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, 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portfolio 22117280 time of upload the photos Elapsed time : 1.3987464904785156 map_filename_photo_id : 4 map_filename_photo_id : {'temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_658263370.jpg': 1350609511, 'temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_6582633790.jpg': 1350609512, 'temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_65826337180.jpg': 1350609513, 'temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_65826337270.jpg': 1350609514} Len new_chis : 4 Len list_new_chi_with_photo_id : 64 of type : 3230 list_new_chi_with_photo_id : [, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ] 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 : time spend for datou_step_exec : 20.19900131225586 time spend to save output : 0.00017786026000976562 total time spend for step 1 : 20.19917917251587 caffe_path_current : About to save ! 0 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {1350609511: ['1003369118', 'temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_658263370.jpg', [, , , , , , , , , , , , , , , ]], 1350609512: ['1003369118', 'temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_6582633790.jpg', [, , , , , , , , , , , , , , , ]], 1350609513: ['1003369118', 'temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_65826337180.jpg', [, , , , , , , , , , , , , , , ]], 1350609514: ['1003369118', 'temp/1744854235_1331777_1003369118_58171420504d0b5f05a1233b6c515509_65826337270.jpg', [, , , , , , , , , , , , , , , ]]} batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 1350609511,1350609512,1350609513,1350609514) 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 (3751143312,3751143313,3751143314,3751143315,3751143316,3751143317,3751143318,3751143319,3751143320,3751143321,3751143322,3751143323,3751143324,3751143325,3751143326,3751143327,3751143328,3751143329,3751143330,3751143331,3751143332,3751143333,3751143334,3751143335,3751143336,3751143337,3751143338,3751143339,3751143340,3751143341,3751143342,3751143343,3751143344,3751143345,3751143346,3751143347,3751143348,3751143349,3751143350,3751143351,3751143352,3751143353,3751143354,3751143355,3751143356,3751143357,3751143358,3751143359,3751143360,3751143361,3751143362,3751143363,3751143364,3751143365,3751143366,3751143367,3751143368,3751143369,3751143370,3751143371,3751143372,3751143373,3751143374,3751143375) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (3751143312,3751143313,3751143314,3751143315,3751143316,3751143317,3751143318,3751143319,3751143320,3751143321,3751143322,3751143323,3751143324,3751143325,3751143326,3751143327,3751143328,3751143329,3751143330,3751143331,3751143332,3751143333,3751143334,3751143335,3751143336,3751143337,3751143338,3751143339,3751143340,3751143341,3751143342,3751143343,3751143344,3751143345,3751143346,3751143347,3751143348,3751143349,3751143350,3751143351,3751143352,3751143353,3751143354,3751143355,3751143356,3751143357,3751143358,3751143359,3751143360,3751143361,3751143362,3751143363,3751143364,3751143365,3751143366,3751143367,3751143368,3751143369,3751143370,3751143371,3751143372,3751143373,3751143374,3751143375) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (3751143312,3751143313,3751143314,3751143315,3751143316,3751143317,3751143318,3751143319,3751143320,3751143321,3751143322,3751143323,3751143324,3751143325,3751143326,3751143327,3751143328,3751143329,3751143330,3751143331,3751143332,3751143333,3751143334,3751143335,3751143336,3751143337,3751143338,3751143339,3751143340,3751143341,3751143342,3751143343,3751143344,3751143345,3751143346,3751143347,3751143348,3751143349,3751143350,3751143351,3751143352,3751143353,3751143354,3751143355,3751143356,3751143357,3751143358,3751143359,3751143360,3751143361,3751143362,3751143363,3751143364,3751143365,3751143366,3751143367,3751143368,3751143369,3751143370,3751143371,3751143372,3751143373,3751143374,3751143375) 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 : 0.23578977584838867 #### 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 Thu Apr 17 03:44:16 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1744854256_1331777_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724} map_photo_id_path_extension : {1009068683: {'path': 'temp/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1744854256_1331777_1009068724_3e705379f97632c4a2fd676e348a335d.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Begin step merge_mask_thcl_custom args ['temp/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'temp/1744854256_1331777_1009068724_3e705379f97632c4a2fd676e348a335d.jpg'] processing picture : temp/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg processing picture : temp/1744854256_1331777_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] chi 1941272803 saved with no changes chi 1941272804 saved with no changes chi 1941272805 saved with no changes chi 1941272781 saved with no changes chi 1941272789 saved with no changes chi 1941272798 saved with no changes chi 1941272812 saved with no changes chi 1941272800 saved with no changes chi 1941272784 saved with no changes chi 1941272782 saved with no changes chi 1941272794 saved with no changes 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 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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 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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 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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 : time spend for datou_step_exec : 0.30110955238342285 time spend to save output : 9.34600830078125e-05 total time spend for step 1 : 0.30120301246643066 step2:rle_unique_nms_with_priority Thu Apr 17 03:44:16 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 : ['temp/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'temp/1744854256_1331777_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/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg'] After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1744854256_1331777_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724} map_photo_id_path_extension : {1009068683: {'path': 'temp/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1744854256_1331777_1009068724_3e705379f97632c4a2fd676e348a335d.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Begin step rle-unique-nms on traite la photo : temp/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg on traite la photo : temp/1744854256_1331777_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 : 2.5755228996276855 create new chi : 9.131431579589844e-05 proportion hashtag : pet_clair 0.5317132844650205 proportion hashtag : contaminant 0.002766525205761317 time to delete rle : 0.03975105285644531 save time : 3.314018249511719e-05 nb_obj : 0 nb_hashtags : 1 time to prepare the origin masks : 2.5661838054656982 create new chi : 3.9577484130859375e-05 proportion hashtag : pet_clair 0.5582751414609054 time to delete rle : 0.016811609268188477 save time : 6.4373016357421875e-06 INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`) VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`) map_output_result : {1009068683: (0.002588053987919006, 'Should be the crop_list due to order', 0.005176107975838012), 1009068724: (0.002588053987919006, 'Should be the crop_list due to order', 0.0)} End step rle-unique-nms After datou_step_exec type output : time spend for datou_step_exec : 5.39466667175293 time spend to save output : 9.512901306152344e-05 total time spend for step 2 : 5.394761800765991 step3:ventilate_hashtags_in_portfolio Thu Apr 17 03:44:22 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure input_args_next_step, len :0, first value : [] After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1744854256_1331777_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724} map_photo_id_path_extension : {1009068683: {'path': 'temp/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1744854256_1331777_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, 4, 16, 21, 43, 41), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 43, 41), '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, 4, 16, 21, 43, 41), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 43, 41), '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, 4, 16, 21, 43, 41), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 43, 41), '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, 4, 16, 21, 43, 41), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 43, 41), '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, 4, 16, 21, 43, 41), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 43, 41), '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, 4, 16, 21, 43, 41), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 43, 41), '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, 4, 16, 21, 43, 41), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 43, 41), '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 : time spend for datou_step_exec : 3.6448814868927 time spend to save output : 7.104873657226562e-05 total time spend for step 3 : 3.6449525356292725 step4:final Thu Apr 17 03:44:25 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 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg': 1009068683, 'temp/1744854256_1331777_1009068724_3e705379f97632c4a2fd676e348a335d.jpg': 1009068724} map_photo_id_path_extension : {1009068683: {'path': 'temp/1744854256_1331777_1009068683_4beb092fd180a8b620f754bb89015722.jpg', 'extension': 'jpg'}, 1009068724: {'path': 'temp/1744854256_1331777_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 : time spend for datou_step_exec : 0.10324788093566895 time spend to save output : 3.528594970703125e-05 total time spend for step 4 : 0.10328316688537598 caffe_path_current : 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 : 0.014154434204101562 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 1008922095 begin to download photo : 1008922073 download finish for photo 1008921657 begin to download photo : 1008921656 download finish for photo 1008922130 begin to download photo : 1008922101 download finish for photo 1008921601 begin to download photo : 1008921600 download finish for photo 1008922003 begin to download photo : 1008922002 download finish for photo 1008922073 begin to download photo : 1008922072 download finish for photo 1008921656 begin to download photo : 1008921602 download finish for photo 1008922101 begin to download photo : 1008922097 download finish for photo 1008921600 download finish for photo 1008922002 begin to download photo : 1008921786 download finish for photo 1008921602 download finish for photo 1008922097 download finish for photo 1008922072 download finish for photo 1008921786 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 : 1.212202548980713 #### 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 Thu Apr 17 03:44:27 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786} map_photo_id_path_extension : {1008921601: {'path': 'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.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 ( 1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786) 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 ( 1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786) 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 (1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786) 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 : time spend for datou_step_exec : 10.749591827392578 time spend to save output : 0.00011014938354492188 total time spend for step 1 : 10.749701976776123 step2:thcl Thu Apr 17 03:44:37 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 : {} 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786} map_photo_id_path_extension : {1008921601: {'path': 'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou step Thcl ! no input After datou_step_exec type output : time spend for datou_step_exec : 0.0006508827209472656 time spend to save output : 3.0994415283203125e-05 total time spend for step 2 : 0.0006818771362304688 step3:argmax Thu Apr 17 03:44:37 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 : {} 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786} map_photo_id_path_extension : {1008921601: {'path': 'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Beginning of datou_step Argmax ! no input After datou_step_exec type output : time spend for datou_step_exec : 8.726119995117188e-05 time spend to save output : 2.2411346435546875e-05 total time spend for step 3 : 0.00010967254638671875 step4:merge_mask_and_thcl Thu Apr 17 03:44:37 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 : {} 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786} map_photo_id_path_extension : {1008921601: {'path': 'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} debut de la step merge mask and classif [] crops sont a sauvegarder After datou_step_exec type output : time spend for datou_step_exec : 0.0001125335693359375 time spend to save output : 2.1696090698242188e-05 total time spend for step 4 : 0.0001342296600341797 step5:rle_unique_nms_with_priority Thu Apr 17 03:44:37 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 : ['temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.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/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg'] After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786} map_photo_id_path_extension : {1008921601: {'path': 'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Begin step rle-unique-nms on traite la photo : temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg on traite la photo : temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg on traite la photo : temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg on traite la photo : temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg on traite la photo : temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg on traite la photo : temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg on traite la photo : temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg on traite la photo : temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg on traite la photo : temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg on traite la photo : temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg on traite la photo : temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg on traite la photo : temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg on traite la photo : temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg on traite la photo : temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.jpg batch 1 select photo_id, hashtag_id, `type`, x0, x1, y0, y1, score, id from MTRPhoto.crop_hashtag_ids where photo_id in ( 1008921601,1008921600,1008921657,1008921656,1008921602,1008922130,1008922101,1008922097,1008922095,1008922073,1008922072,1008922003,1008922002,1008921786) 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 : 2.7751317024230957 create new chi : 0.006970643997192383 proportion hashtag : refus 0.011822314499524865 proportion hashtag : papier 0.9824540455733292 time to delete rle : 0.4525296688079834 save time : 2.1696090698242188e-05 nb_obj : 0 nb_hashtags : 2 time to prepare the origin masks : 2.1487960815429688 create new chi : 0.007405519485473633 proportion hashtag : refus 0.01255295771301869 proportion hashtag : papier 0.9863322081881533 time to delete rle : 0.5024330615997314 save time : 1.1444091796875e-05 nb_obj : 0 nb_hashtags : 1 time to prepare the origin masks : 1.1021873950958252 create new chi : 0.007999658584594727 proportion hashtag : papier 0.994315707158695 time to delete rle : 0.5569460391998291 save time : 1.1205673217773438e-05 nb_obj : 0 nb_hashtags : 1 time to prepare the origin masks : 1.1120727062225342 create new chi : 6.151199340820312e-05 proportion hashtag : refus 0.0018834633354450428 proportion hashtag : papier 0.9981165366645549 time to delete rle : 0.7400856018066406 save time : 2.7894973754882812e-05 nb_obj : 0 nb_hashtags : 1 time to prepare the origin masks : 1.879312515258789 create new chi : 6.079673767089844e-05 proportion hashtag : refus 0.011059624445676274 proportion hashtag : papier 0.9889403755543237 time to delete rle : 0.5729062557220459 save time : 2.2649765014648438e-05 nb_obj : 0 nb_hashtags : 1 time to prepare the origin masks : 1.633699655532837 create new chi : 9.34600830078125e-05 proportion hashtag : refus 0.009172696586949636 proportion hashtag : papier 0.9908273034130504 time to delete rle : 0.4679830074310303 save time : 4.363059997558594e-05 nb_obj : 0 nb_hashtags : 2 time to prepare the origin masks : 1.6520438194274902 create new chi : 0.008251667022705078 proportion hashtag : papier 0.9896722560975609 proportion hashtag : refus 0.001785095620842572 time to delete rle : 0.506709098815918 save time : 6.4373016357421875e-06 nb_obj : 0 nb_hashtags : 2 time to prepare the origin masks : 1.6039788722991943 create new chi : 0.008676290512084961 proportion hashtag : papier 0.9968715354767184 proportion hashtag : refus 0.00213167168197656 time to delete rle : 0.5956380367279053 save time : 5.9604644775390625e-06 nb_obj : 0 nb_hashtags : 1 time to prepare the origin masks : 1.1424064636230469 create new chi : 0.008394479751586914 proportion hashtag : papier 0.9585115913050364 time to delete rle : 0.44187092781066895 save time : 7.3909759521484375e-06 nb_obj : 0 nb_hashtags : 1 time to prepare the origin masks : 1.5731642246246338 create new chi : 3.790855407714844e-05 proportion hashtag : refus 0.0034527686490338928 proportion hashtag : papier 0.9965472313509661 time to delete rle : 1.107118844985962 save time : 2.4557113647460938e-05 nb_obj : 0 nb_hashtags : 1 time to prepare the origin masks : 2.220654010772705 create new chi : 3.695487976074219e-05 proportion hashtag : refus 0.006595957396262274 proportion hashtag : papier 0.9934040426037377 time to delete rle : 0.9046535491943359 save time : 5.245208740234375e-06 nb_obj : 0 nb_hashtags : 1 time to prepare the origin masks : 1.3017497062683105 create new chi : 2.2172927856445312e-05 proportion hashtag : refus 0.010260185698447893 proportion hashtag : papier 0.9897398143015521 time to delete rle : 0.5728349685668945 save time : 3.5762786865234375e-06 nb_obj : 0 nb_hashtags : 1 time to prepare the origin masks : 0.9755966663360596 create new chi : 0.008102655410766602 proportion hashtag : papier 0.98686463117675 time to delete rle : 0.7297348976135254 save time : 2.1696090698242188e-05 nb_obj : 0 nb_hashtags : 1 time to prepare the origin masks : 1.25107741355896 create new chi : 3.2901763916015625e-05 proportion hashtag : refus 0.0024127929996832437 proportion hashtag : papier 0.9975872070003168 time to delete rle : 0.3871119022369385 save time : 4.76837158203125e-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), 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), 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)} End step rle-unique-nms After datou_step_exec type output : time spend for datou_step_exec : 33.08870458602905 time spend to save output : 0.00010538101196289062 total time spend for step 5 : 33.088809967041016 step6:ventilate_hashtags_in_portfolio Thu Apr 17 03:45:10 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786} map_photo_id_path_extension : {1008921601: {'path': 'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.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 SELECT id, mtr_user_id, name, pb_hashtag_id, hashtag_id_list, button_legend_list, portfolio_id_lists, photo_hashtag_type, photo_desc_type, svm_limit, limit_tagging, is_public, live, created_at, updated_at, type_classification FROM MTRDatou.classification_theme WHERE `id` IN (2456) thcls : [{'id': 2456, 'mtr_user_id': 31, 'name': 'learn_qualipapia_papier_refus_from_vlg_data_aug', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'papier,refus', 'svm_portfolios_learning': '3028087,3028251', 'photo_hashtag_type': 3049, 'photo_desc_type': 4999, 'type_classification': 'caffe', 'hashtag_id_list': '492668766,538914404'}] thcl {'id': 2456, 'mtr_user_id': 31, 'name': 'learn_qualipapia_papier_refus_from_vlg_data_aug', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'papier,refus', 'svm_portfolios_learning': '3028087,3028251', 'photo_hashtag_type': 3049, 'photo_desc_type': 4999, 'type_classification': 'caffe', 'hashtag_id_list': '492668766,538914404'} Update svm_hashtag_type_desc : 4999 Iterating over portfolio : 3364276 get user id for portfolio 3364276 get sub ptf for main ptf 3535038, type 3418 and hashtags ['refus', 'papier'] SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=3535038 AND mptpi.`type`=3418 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('refus','papier')) AND mptpi.`min_score`=0.7 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=3535038 AND mptpi.`type`=3418 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('refus','papier')) AND mptpi.`min_score`=0.7 To do returned map {'refus': {'main_port_id': 3535038, 'sub_port_id': 3535090, 'hashtag': 'refus', 'pht': 3418, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 8903, 'last_updated_at': datetime.datetime(2025, 4, 16, 21, 44, 27), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 44, 27), '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, 4, 16, 21, 44, 27), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 44, 27), 'last_updated_at_asc': datetime.datetime(2021, 3, 5, 16, 19, 20)}} insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at) SELECT 3535090 , sub_photo_id, 739,now() FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at FROM MTRPhoto.crop_sub_photo_ids csp, MTRPhoto.crop_hashtag_ids chi, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp WHERE mpp.mtr_portfolio_id=3364276 AND mpp.mtr_photo_id=chi.photo_id AND chi.id=csp.crop_hashtag_id AND chi.score>0.7 AND chi.type=3418 AND chi.hashtag_id=h.hashtag_id AND h.hashtag='refus' GROUP BY csp.crop_hashtag_id, csp.created_at order by csp.created_at desc) as a group by crop_hashtag_id; insert ignore into MTRUser.mtr_portfolio_photos (mtr_portfolio_id, mtr_photo_id, mtr_user_id,created_at) SELECT 3535091 , sub_photo_id, 739,now() FROM (SELECT csp.sub_photo_id, csp.crop_hashtag_id, csp.created_at FROM MTRPhoto.crop_sub_photo_ids csp, MTRPhoto.crop_hashtag_ids chi, MTRBack.hashtags h, MTRUser.mtr_portfolio_photos mpp WHERE mpp.mtr_portfolio_id=3364276 AND mpp.mtr_photo_id=chi.photo_id AND chi.id=csp.crop_hashtag_id AND chi.score>0.7 AND chi.type=3418 AND chi.hashtag_id=h.hashtag_id AND h.hashtag='papier' GROUP BY csp.crop_hashtag_id, csp.created_at order by csp.created_at desc) as a group by crop_hashtag_id; To do ! Use context local managing function ! get sub ptf for main ptf 3364276, type 3418 and hashtags ['refus', 'papier'] SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=3364276 AND mptpi.`type`=3418 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('refus','papier')) AND mptpi.`min_score`=0.7 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=3364276 AND mptpi.`type`=3418 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('refus','papier')) AND mptpi.`min_score`=0.7 To do returned map {'refus': {'main_port_id': 3364276, 'sub_port_id': 3534897, 'hashtag': 'refus', 'pht': 3418, 'min_score': 0.7, 'mtr_user_id': 0, 'id': 8901, 'last_updated_at': datetime.datetime(2025, 4, 16, 21, 44, 27), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 44, 27), '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, 4, 16, 21, 44, 27), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 44, 27), '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 : time spend for datou_step_exec : 0.1869504451751709 time spend to save output : 0.00011610984802246094 total time spend for step 6 : 0.18706655502319336 step7:final Thu Apr 17 03:45:11 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 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), 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), 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)} 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), 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), 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)} 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), 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), 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)} 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), 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), 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)} 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), 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), 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)} 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), 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), 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)} 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), 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), 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)} 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), 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), 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)} 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), 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), 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)} 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,), 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), 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), 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)} 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,), 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), 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), 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)} 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,), 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), 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), 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)} args : 1008922072 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,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (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), 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), 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)} 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,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (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), 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), 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)} 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,), 1008922095: (0.005230650193135238,), 1008922073: (0.005230650193135238,), 1008922072: (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), 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), 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)} args : 1008921786 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg': 1008921601, 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg': 1008921600, 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg': 1008921657, 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg': 1008921656, 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg': 1008921602, 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg': 1008922130, 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg': 1008922101, 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg': 1008922097, 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg': 1008922095, 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg': 1008922073, 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg': 1008922072, 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg': 1008922003, 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg': 1008922002, 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.jpg': 1008921786} map_photo_id_path_extension : {1008921601: {'path': 'temp/1744854265_1331777_1008921601_8e77b77d2ac41a1e6ec6af186d0ee0e0.jpg', 'extension': 'jpg'}, 1008921600: {'path': 'temp/1744854265_1331777_1008921600_37a7af01ee43a568dfe3728dcdbe17a4.jpg', 'extension': 'jpg'}, 1008921657: {'path': 'temp/1744854265_1331777_1008921657_46fce4176daed1c358e2a7c299fc5587.jpg', 'extension': 'jpg'}, 1008921656: {'path': 'temp/1744854265_1331777_1008921656_c93a3fc2cd8645066f3120d727a4ce22.jpg', 'extension': 'jpg'}, 1008921602: {'path': 'temp/1744854265_1331777_1008921602_383b6a7758931a2dff9de560df82456c.jpg', 'extension': 'jpg'}, 1008922130: {'path': 'temp/1744854265_1331777_1008922130_4c0c64c8974710b1875fb84156e8457c.jpg', 'extension': 'jpg'}, 1008922101: {'path': 'temp/1744854265_1331777_1008922101_1a025189b8603388d54304e6754e9df9.jpg', 'extension': 'jpg'}, 1008922097: {'path': 'temp/1744854265_1331777_1008922097_6c2f48fc82a23eb61afdc5b17b032e88.jpg', 'extension': 'jpg'}, 1008922095: {'path': 'temp/1744854265_1331777_1008922095_dc858351f179fe112b62a458b452c880.jpg', 'extension': 'jpg'}, 1008922073: {'path': 'temp/1744854265_1331777_1008922073_f4a476ca7bbbdbb6286b3964cb9dfa09.jpg', 'extension': 'jpg'}, 1008922072: {'path': 'temp/1744854265_1331777_1008922072_0b2e247d5ad70c283fb6fd8596c1a378.jpg', 'extension': 'jpg'}, 1008922003: {'path': 'temp/1744854265_1331777_1008922003_b378dd1de9a27a4b0a8bb35c5e0d5b99.jpg', 'extension': 'jpg'}, 1008922002: {'path': 'temp/1744854265_1331777_1008922002_4e629eb338e1fe79a3726963bf6d47dd.jpg', 'extension': 'jpg'}, 1008921786: {'path': 'temp/1744854265_1331777_1008921786_066e79494b5536cc7d2f3293519cd617.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 : time spend for datou_step_exec : 0.020441532135009766 time spend to save output : 6.318092346191406e-05 total time spend for step 7 : 0.02050471305847168 caffe_path_current : 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',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('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',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('0.005252307643909098',)} [1008921601, 1008921600, 1008921657, 1008921656, 1008921602, 1008922130, 1008922101, 1008922097, 1008922095, 1008922073, 1008922072, 1008922003, 1008922002, 1008921786] 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, 1008922095, 1008922073, 1008922072, 1008922003, 1008922002, 1008921786] 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 . /1008922095.Didn't retrieve data . /1008922073.Didn't retrieve data . /1008922072.Didn't retrieve data . /1008922003.Didn't retrieve data . /1008922002.Didn't retrieve data . /1008921786.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', '1008922095', None, None, None, None, None, None) ('3164', None, None, None, None, None, None, None, None) ('3164', '3364276', '1008922073', None, None, None, None, None, None) ('3164', None, None, None, None, None, None, None, None) ('3164', '3364276', '1008922072', None, None, None, None, None, None) ('3164', None, None, None, None, None, None, None, None) ('3164', '3364276', '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) 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', '1008922095', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922073', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '1008922072', '0.005252307643909098', None, None, None, None, None), ('3164', '3364276', '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)] time used for this insertion : 0.016632080078125 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',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('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',), 1008922095: ('0.005252307643909098',), 1008922073: ('0.005252307643909098',), 1008922072: ('0.005252307643909098',), 1008922003: ('0.005252307643909098',), 1008922002: ('0.005252307643909098',), 1008921786: ('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 : 0.015426874160766602 #### 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 Thu Apr 17 03:45:11 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 After prepare type args : 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, 4, 16, 21, 44, 27), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 44, 27), '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, 4, 16, 21, 44, 27), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 44, 27), '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, 4, 16, 21, 44, 27), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 44, 27), '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 : time spend for datou_step_exec : 0.0779561996459961 time spend to save output : 7.462501525878906e-05 total time spend for step 1 : 0.07803082466125488 caffe_path_current : 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 : 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 : 0.016096115112304688 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 : 0.20668911933898926 #### 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 Thu Apr 17 03:45:11 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 After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854311_1331777_1003369118_58171420504d0b5f05a1233b6c515509_65826337.jpg': 1003369118} map_photo_id_path_extension : {1003369118: {'path': 'temp/1744854311_1331777_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/1744854311_1331777_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 : 0.008397579193115234 nb_pixel_total : 110633 time to create 1 rle with old method : 0.16331195831298828 time for calcul the mask position with numpy : 0.008677482604980469 nb_pixel_total : 15826 time to create 1 rle with old method : 0.02028179168701172 time for calcul the mask position with numpy : 0.0075893402099609375 nb_pixel_total : 5286 time to create 1 rle with old method : 0.00693511962890625 time for calcul the mask position with numpy : 0.008157014846801758 nb_pixel_total : 1633 time to create 1 rle with old method : 0.003017902374267578 time for calcul the mask position with numpy : 0.009363651275634766 nb_pixel_total : 105533 time to create 1 rle with old method : 0.15336203575134277 time for calcul the mask position with numpy : 0.007988691329956055 nb_pixel_total : 4393 time to create 1 rle with old method : 0.006706714630126953 time for calcul the mask position with numpy : 0.007449626922607422 nb_pixel_total : 632 time to create 1 rle with old method : 0.0008666515350341797 time for calcul the mask position with numpy : 0.00801539421081543 nb_pixel_total : 62627 time to create 1 rle with old method : 0.07769393920898438 time for calcul the mask position with numpy : 0.007696628570556641 nb_pixel_total : 33681 time to create 1 rle with old method : 0.037593841552734375 time for calcul the mask position with numpy : 0.008317708969116211 nb_pixel_total : 37724 time to create 1 rle with old method : 0.044428348541259766 time for calcul the mask position with numpy : 0.007760763168334961 nb_pixel_total : 48775 time to create 1 rle with old method : 0.05549263954162598 time for calcul the mask position with numpy : 0.04273200035095215 nb_pixel_total : 1171703 time to create 1 rle with new method : 0.3130772113800049 time for calcul the mask position with numpy : 0.007925271987915039 nb_pixel_total : 2310 time to create 1 rle with old method : 0.003969430923461914 time for calcul the mask position with numpy : 0.007906913757324219 nb_pixel_total : 2256 time to create 1 rle with old method : 0.004342079162597656 time for calcul the mask position with numpy : 0.007906198501586914 nb_pixel_total : 3112 time to create 1 rle with old method : 0.003904104232788086 time for calcul the mask position with numpy : 0.007281303405761719 nb_pixel_total : 1662 time to create 1 rle with old method : 0.002070903778076172 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 : time spend for datou_step_exec : 1.4837675094604492 time spend to save output : 0.00011396408081054688 total time spend for step 1 : 1.4838814735412598 caffe_path_current : About to save ! 0 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {1003369118: 'temp/1744854311_1331777_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 : 0.017136335372924805 #### 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 Thu Apr 17 03:45:13 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 : 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 5.245208740234375e-06 elapsed_time : order_list_meta_photo_and_scores 7.62939453125e-06 ??????? elapsed_time : fill_and_build_computed_from_old_data 0.0004303455352783203 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 0.028734445571899414 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 ***** 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 0.005130290985107422 ***** 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 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 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 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 created_at desc LIMIT 1 list_result_datou : [] 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 (1729186, '_______jrm', '2021-08-17 09:48:08', '2021-08-17 09:48:32', 4, 4453926, -1, -1, '-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 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 created_at desc LIMIT 1 list_result_datou : [] 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 (1729186, '_______jrm', '2021-08-17 10:42:13', '2021-08-17 10:42:16', 3, 4652336, -1, -1, '-1', "{'max_time_prod_two_photos': 0, 'autre_refus': {'hashtag': 'autre_refus', 'sub_port_id': 18491234, 'pht': 4038}, 'Carton_gris': {'hashtag': 'Carton_gris', 'sub_port_id': 18491235, 'pht': 4038}, 'cartonnette': {'hashtag': 'cartonnette', 'sub_port_id': 18491236, 'pht': 4038}, 'Carton_brun': {'hashtag': 'Carton_brun', 'sub_port_id': 18491237, 'pht': 4038}, 'plastique': {'hashtag': 'plastique', 'sub_port_id': 18491238, 'pht': 4038}, 'papier': {'hashtag': 'papier', 'sub_port_id': 18491239, 'pht': 4038}, 'Teint_Dans_La_Masse': {'hashtag': 'Teint_Dans_La_Masse', 'sub_port_id': 18491240, 'pht': 4038}, 'metal': {'hashtag': 'metal', 'sub_port_id': 18491241, 'pht': 4038}, 'environnement': {'hashtag': 'environnement', 'sub_port_id': 18491242, 'pht': 4038}, 'kraft': {'hashtag': 'kraft', 'sub_port_id': 18491243, 'pht': 4038}}" ); elapsed_time : count_nb_balles_and_create_portfolio 1.2073888778686523 # DISPLAY ALL COLLECTED DATA : {'17082021': {'nb_upload': 7, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}} After datou_step_exec type output : time spend for datou_step_exec : 1.2879743576049805 time spend to save output : 5.602836608886719e-05 total time spend for step 1 : 1.2880303859710693 caffe_path_current : 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 : 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 : 0.01766204833984375 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 : 0.19093728065490723 #### 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 Thu Apr 17 03:45:17 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1744854317_1331777_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546} map_photo_id_path_extension : {1057289467: {'path': 'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1744854317_1331777_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Begin step datou_step_copy_crop processing picture : temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg processing picture : temp/1744854317_1331777_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 : time spend for datou_step_exec : 0.0071370601654052734 time spend to save output : 2.5987625122070312e-05 total time spend for step 1 : 0.007163047790527344 step2:consolidate_hashtags_from_manual_portfolio Thu Apr 17 03:45:17 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 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1744854317_1331777_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546} map_photo_id_path_extension : {1057289467: {'path': 'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1744854317_1331777_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 : time spend for datou_step_exec : 7.94074010848999 time spend to save output : 5.0067901611328125e-05 total time spend for step 2 : 7.940790176391602 step3:rle_unique_nms_with_priority Thu Apr 17 03:45:25 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 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/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'temp/1744854317_1331777_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/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg'] After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1744854317_1331777_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546} map_photo_id_path_extension : {1057289467: {'path': 'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1744854317_1331777_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Begin step rle-unique-nms on traite la photo : temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg on traite la photo : temp/1744854317_1331777_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 (2211485914,2211485915,2211485916,2211485917,2211485918,2211485919,2211485920,2211485921,2211485922,2211485923,2211485924,2211485925,2211485926,2211485927,2211485928,2211485929,2211485930,2211485931,2211485932,2211485933,2211485934,2211485935,2211485936,2211485937,2211485938,2211485939,2211485940,2211485941,2211485942,2211485943,2211485944,2211486029,2211486030,2211486031,2211486032,2211486033,2211486034,2211486035,2211486036,2211486037,2211486038,2211486039,2211486040,2211486041,2211486042,2211486043,2211486044,2211486045,2211486046,2211486047,2211486048,2211486049,2211486050,2211486051,2211486052,2211486053,2211486054,2211486055,2211486056,2211486057,2211486058,2241206166,2241206167,2241206168,2241206169) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2211485914,2211485915,2211485916,2211485917,2211485918,2211485919,2211485920,2211485921,2211485922,2211485923,2211485924,2211485925,2211485926,2211485927,2211485928,2211485929,2211485930,2211485931,2211485932,2211485933,2211485934,2211485935,2211485936,2211485937,2211485938,2211485939,2211485940,2211485941,2211485942,2211485943,2211485944,2211486029,2211486030,2211486031,2211486032,2211486033,2211486034,2211486035,2211486036,2211486037,2211486038,2211486039,2211486040,2211486041,2211486042,2211486043,2211486044,2211486045,2211486046,2211486047,2211486048,2211486049,2211486050,2211486051,2211486052,2211486053,2211486054,2211486055,2211486056,2211486057,2211486058,2241206166,2241206167,2241206168,2241206169) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2211485914,2211485915,2211485916,2211485917,2211485918,2211485919,2211485920,2211485921,2211485922,2211485923,2211485924,2211485925,2211485926,2211485927,2211485928,2211485929,2211485930,2211485931,2211485932,2211485933,2211485934,2211485935,2211485936,2211485937,2211485938,2211485939,2211485940,2211485941,2211485942,2211485943,2211485944,2211486029,2211486030,2211486031,2211486032,2211486033,2211486034,2211486035,2211486036,2211486037,2211486038,2211486039,2211486040,2211486041,2211486042,2211486043,2211486044,2211486045,2211486046,2211486047,2211486048,2211486049,2211486050,2211486051,2211486052,2211486053,2211486054,2211486055,2211486056,2211486057,2211486058,2241206166,2241206167,2241206168,2241206169) nb_obj : 0 nb_hashtags : 3 time to prepare the origin masks : 10.24388337135315 create new chi : 3.838539123535156e-05 proportion hashtag : environment 0.29592690382801784 proportion hashtag : pet_clair 0.39099757399905694 proportion hashtag : etiquette 0.0016148780435528121 time to delete rle : 0.3787119388580322 save time : 2.3603439331054688e-05 nb_obj : 0 nb_hashtags : 3 time to prepare the origin masks : 11.178942918777466 create new chi : 4.267692565917969e-05 proportion hashtag : pet_clair 0.5358597032000172 proportion hashtag : environment 0.16202715754672498 proportion hashtag : etiquette 0.004007054290980795 time to delete rle : 0.322115421295166 save time : 3.123283386230469e-05 INSERT IGNORE INTO MTRPhoto.photo_carac_ratio (`photo_id`, `hashtag_type`, `hashtag_id`, `ratio`) VALUES (%s, %s, %s, %s) on duplicate key update `ratio` = VALUES(`ratio`) map_output_result : {1057289467: (0.0, 'Should be the crop_list due to order', 0.0), 1057289546: (0.0, 'Should be the crop_list due to order', 0.0)} End step rle-unique-nms After datou_step_exec type output : time spend for datou_step_exec : 22.45811676979065 time spend to save output : 0.00011491775512695312 total time spend for step 3 : 22.458231687545776 step4:ventilate_hashtags_in_portfolio Thu Apr 17 03:45:47 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 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1744854317_1331777_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546} map_photo_id_path_extension : {1057289467: {'path': 'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1744854317_1331777_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, 4, 16, 21, 45, 7), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), '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, 4, 17, 3, 45, 25), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 45, 25)}, '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, 4, 17, 3, 45, 25), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 45, 25)}, '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, 4, 17, 3, 45, 25), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 45, 25)}, '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, 4, 17, 3, 45, 25), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 45, 25)}, '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, 4, 17, 3, 45, 25), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 45, 25)}, '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, 4, 17, 3, 45, 25), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 45, 25)}, '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, 4, 17, 3, 45, 25), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 45, 25)}, '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, 4, 17, 3, 45, 25), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 45, 25)}, '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, 4, 17, 3, 45, 25), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 45, 25)}, '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, 4, 17, 3, 45, 25), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 45, 25)}, '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, 4, 17, 3, 45, 25), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 45, 25)}, '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, 4, 17, 3, 45, 25), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 45, 25)}, '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, 4, 16, 21, 45, 7), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 7), '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 : time spend for datou_step_exec : 0.22330117225646973 time spend to save output : 5.0067901611328125e-05 total time spend for step 4 : 0.22335124015808105 step5:final Thu Apr 17 03:45:47 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 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1744854317_1331777_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546} map_photo_id_path_extension : {1057289467: {'path': 'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1744854317_1331777_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 : time spend for datou_step_exec : 0.024886369705200195 time spend to save output : 2.2411346435546875e-05 total time spend for step 5 : 0.024908781051635742 step6:blur_detection Thu Apr 17 03:45:47 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 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1744854317_1331777_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546} map_photo_id_path_extension : {1057289467: {'path': 'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1744854317_1331777_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 : time spend for datou_step_exec : 0.006923198699951172 time spend to save output : 2.6702880859375e-05 total time spend for step 6 : 0.006949901580810547 step7:brightness Thu Apr 17 03:45:47 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 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1744854317_1331777_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546} map_photo_id_path_extension : {1057289467: {'path': 'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1744854317_1331777_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 : time spend for datou_step_exec : 0.0050830841064453125 time spend to save output : 5.030632019042969e-05 total time spend for step 7 : 0.005133390426635742 step8:send_mail_cod Thu Apr 17 03:45:47 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 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg': 1057289467, 'temp/1744854317_1331777_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg': 1057289546} map_photo_id_path_extension : {1057289467: {'path': 'temp/1744854317_1331777_1057289467_5eaa0f3f506e9775c4ed0da9d66dfffc.jpg', 'extension': 'jpg'}, 1057289546: {'path': 'temp/1744854317_1331777_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} dans la step send mail cod work_area: /home/admin/temp in order to get the selector url, please entre the license of selector results_COD_P4709558_17-04-2025_03_45_47.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'} change filename to text .wget -O 1.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/260f36868ad8639bfe08539d97670294_60697461.png change filename to text .wget -O 2.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/74c0b0111a8b25e5e42edb1f66e0d424_118910.png change filename to text .wget -O 3.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/b0d7ef53bb89120ce0b8a74036049aae_25336551.png change filename to text .wget -O 4.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ed3d00617e10a2a572e094db588a1b4c_10594461.png change filename to text .wget -O 5.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/9bf1b27c92eb432655e72bca50e63901_67751791.png change filename to text .imagette46734941744854347/ imagette46734941744854347/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251857_0.png.png imagette46734941744854347/1634829704_286060_1057555339_9a5f94a8403042545fa45237bb938371_rle_crop_2208357166_0.png.png imagette46734941744854347/1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208357090_0.png.png imagette46734941744854347/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225431_0.png.png imagette46734941744854347/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225448_0.png.png imagette46734941744854347/1634829704_286060_1057555396_47c920059d0b6cda7e22138ddf336350_rle_crop_2208357088_0.png.png wget -O 6.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c1bc91312417f9a9bdb4a199149ee0d7_68395095.png imagette46734941744854347 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'} change filename to text .wget -O 1.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/dc768881af791a8d566486cfebab75c2_1749470.png change filename to text .wget -O 2.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/fd42b578a37432482479ea01a01159d1_33342118.png change filename to text .wget -O 3.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/37366fe604a1832006341a05bdd87ff9_33959399.png change filename to text .wget -O 4.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/8e38678298412f206d8a49ac12150ecc_77675765.png change filename to text .wget -O 5.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/19d6cd526e8f254aef888de3f0e0f689_68680265.png change filename to text .wget -O 6.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/98edd3d5b95376ba63dc00717fd7bb6f_73819945.png change filename to text .wget -O 7.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/ac8a084fc3c0e6576ad55b7df645f65f_99363185.png change filename to text .wget -O 8.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/82075e8a5acdb4bae51f4258fc04a70f_16843351.png change filename to text .wget -O 9.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/5a6fdef813012c90e17149db29709975_85459157.png change filename to text .wget -O 10.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/a673a3b562e184bf55cb2a90ae250dcd_4174480.png change filename to text .wget -O 11.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/8347bcb759da0acb2d8cd3c08c0f882b_12672194.png change filename to text .wget -O 12.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/3ec79ab86ec08290af890fc3345102c7_77747352.png change filename to text .wget -O 13.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/12f25469e6e964d777d2ec67bbddba36_52759193.png change filename to text .wget -O 14.png 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imagette46734961744854348/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208251706_0.png.png imagette46734961744854348/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214676_0.png.png imagette46734961744854348/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214590_0.png.png imagette46734961744854348/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225368_0.png.png imagette46734961744854348/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225487_0.png.png imagette46734961744854348/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225392_0.png.png imagette46734961744854348/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225442_0.png.png imagette46734961744854348/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208214637_0.png.png imagette46734961744854348/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214691_0.png.png imagette46734961744854348/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214598_0.png.png imagette46734961744854348/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208214652_0.png.png imagette46734961744854348/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208214610_0.png.png imagette46734961744854348/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208225426_0.png.png imagette46734961744854348/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225459_0.png.png wget -O 20.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/6212b28d168de46f1c6294bd8b60d961_90895624.png imagette46734961744854348 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'} change filename to text .wget -O 1.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/56b63b142fc021592b45e2ffb2d9fb73_87430553.png change filename to text .wget -O 2.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/bdb53607e396a709749146495b5e83b0_87115423.png change filename to text .wget -O 3.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/c69016b3777c97bc1b95844a22d5e2b5_29844601.png change filename to text .wget -O 4.png 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imagette46734971744854350/1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269334_0.png.png imagette46734971744854350/1634827697_407544_1057556393_bbf87e4ef2415091c2a75db8671410b3_rle_crop_2208269289_0.png.png imagette46734971744854350/1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269296_0.png.png imagette46734971744854350/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251802_0.png.png imagette46734971744854350/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251798_0.png.png imagette46734971744854350/1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208269345_0.png.png imagette46734971744854350/1634827697_407544_1057556394_1c95f3356751e9e6242fbf572ddfc8a9_rle_crop_2208269246_0.png.png imagette46734971744854350/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225380_0.png.png imagette46734971744854350/1634825922_279497_1057556884_51fe1c8993c752f291d01bfc16bbfe25_rle_crop_2208251768_0.png.png imagette46734971744854350/1634827697_407544_1057556391_8fe7a4656ae620da6cbee87efbbaddab_rle_crop_2208267250_0.png.png imagette46734971744854350/1634824321_277176_1057557362_3e42d90eac257eafe604e796f9e1d1d8_rle_crop_2208214662_0.png.png imagette46734971744854350/1634825922_279497_1057556885_d3fce39e04c069da4720e02a0d172b63_rle_crop_2208244046_0.png.png imagette46734971744854350/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208244157_0.png.png imagette46734971744854350/1634827697_407544_1057556392_f5dce5eea889838268a5f6ddaee1c46f_rle_crop_2208269297_0.png.png wget -O 20.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/a00c7d1a2c8432a6364d68164c278304_35227740.png imagette46734971744854350 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'} change filename to text .wget -O 1.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/cc278c36f86af3345934162953249fd1_2706330.png change filename to text .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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imagette46735031744854354/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225401_0.png.png imagette46735031744854354/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214696_0.png.png imagette46735031744854354/1634823105_274997_1057557871_bab55ef7fc1a7db67edc82a2e9cad716_rle_crop_2208133134_0.png.png imagette46735041744854359/ imagette46735051744854359/ wget -O 20.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/fce888444ab6590ab8a37cbe3a106c17_45693026.png imagette46735031744854354 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 : {} imagette46735041744854359 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 : {} imagette46735051744854359 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: 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imagette46735061744854359/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208244133_0.png.png imagette46735061744854359/1634829704_286060_1057555395_0c18a4546be7d1e86d74113e392ddd2c_rle_crop_2208357131_0.png.png imagette46735061744854359/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251841_0.png.png imagette46735061744854359/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208244088_0.png.png imagette46735061744854359/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208225449_0.png.png imagette46735061744854359/1634824321_277176_1057557520_056ea5c15ce6988605936961fb1fe49b_rle_crop_2208225396_0.png.png imagette46735061744854359/1634825922_279497_1057556844_9aa65c618b5130482f5cf56acd980137_rle_crop_2208251856_0.png.png imagette46735061744854359/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251799_0.png.png imagette46735061744854359/1634824321_277176_1057557247_fcddf1b6572fdb118d33c88fbe12b3d2_rle_crop_2208214665_0.png.png imagette46735061744854359/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251778_0.png.png imagette46735061744854359/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208244116_0.png.png imagette46735061744854359/1634825922_279497_1057556883_bb1e9dd8aa9265a4e49742b75e639fcf_rle_crop_2208251788_0.png.png wget -O 12.png http://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2021/10/21/fb6a7d128ecfee65834b66ca3c1e6cfc_66615736.png imagette46735061744854359 4673507 SELECT ph.photo_id,ph.url,ph.username,ph.text FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=4673507 AND mpp.hide_status=0 ORDER BY mpp.order LIMIT 0, 20 map_photo_id_text : {1057457388: 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imagette46735081744854362/1634683799_2045935_1057113099_0d8b621cf424d90e6d970906bf99832d_rle_crop_2206561526_0.png.png imagette46735081744854362/1634683377_2041713_1057076305_4d69819ec75835240e00e59f39b9d840_rle_crop_2206547298_0.png.png imagette46735081744854362/1634682881_3635026_1056707572_0c04c0833ab2f73176de371f15fba10e_rle_crop_2206539248_0.png.png imagette46735081744854362/1634631694_3395528_1056952118_a446055cc0ecd61f8f14c52ac97c65f1_rle_crop_2205771210_0.png.png imagette46735081744854362/1634708200_3775898_1057289546_da9d43be274d4fe0bc4d06d071dbd3bd_rle_crop_2206952033_0.png.png imagette46735081744854362/1634710122_3781798_1057294236_caaea4d022b2d568805996ef213a3f82_rle_crop_2206977297_0.png.png imagette46735081744854362/1634710001_3781530_1057289771_6650bcb078dc46bca71773fb4969dca3_rle_crop_2206978161_0.png.png imagette46735081744854362/1634631694_3395528_1056952118_a446055cc0ecd61f8f14c52ac97c65f1_rle_crop_2205767654_0.png.png imagette46735081744854362/1634682959_2036712_1056952808_74d76831dec2e88b98e1ee956313098b_rle_crop_2206541136_0.png.png imagette46735081744854362/1634710001_3781530_1057289771_6650bcb078dc46bca71773fb4969dca3_rle_crop_2206978156_0.png.png imagette46735081744854362/1634710122_3781798_1057294236_caaea4d022b2d568805996ef213a3f82_rle_crop_2206977301_0.png.png imagette46735081744854362/1634708200_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 imagette46735081744854362 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_17-04-2025_03_45_47.pdf results_COD_P4709558_17-04-2025_03_45_47.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4709558_17-04-2025_03_45_47.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_17-04-2025_03_45_47.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P4709558_17-04-2025_03_45_47.pdf','pdf','','0.48','0.009511382621534484') After datou_step_exec type output : time spend for datou_step_exec : 17.282203912734985 time spend to save output : 3.743171691894531e-05 total time spend for step 8 : 17.282241344451904 caffe_path_current : About to save ! 0 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 8 output : SELECT value FROM MTRUser.portfolio_carac_ratio WHERE portfolio_id = 4709558 AND hashtag_type = 4016 ORDER BY hashtag_id; fin du test de rym_consolidate ############################### TEST generate_new_image_add_crop ################################ test_generate_new_image_add_crop DELETE FROM MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id = 4789106 DELETE FROM MTRPhoto.crop_hashtag_ids WHERE type = 4086 Inside batchDatouExec : verbose : True ##### chargement datou SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3870 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3870 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3870 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3870 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! no param json to modify List Step Type Loaded in datou : generate_new_image list_input_json : [] ##### fin chargement datou ##### chargement data ##### Call load_data_input : nb_thread : 5 origin SELECT ph.photo_id, ph.url FROM MTRBack.photos ph WHERE ph.photo_id IN (SELECT mtr_photo_id from MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4789595) and hide_status = 0 ) ORDER BY ph.photo_id DESC LIMIT 0, 10000 We have 1 , {} SELECT mtr_photo_id, mtr_portfolio_id FROM MTRUser.mtr_portfolio_photos WHERE mtr_portfolio_id in (4789595) AND hide_status = 0 ORDER by mtr_photo_id desc LIMIT 0, 10000 list_result: [{'photo_id': 1057314774, 'portfolio_id': 4789595}, {'photo_id': 1057314768, 'portfolio_id': 4789595}, {'photo_id': 1057314766, 'portfolio_id': 4789595}] map_portfolio_id_photo_id: {4789595: [1057314774, 1057314768, 1057314766]} ##### Call download_photos : nb_thread : 5 begin to download photo : 1057314774 begin to download photo : 1057314768 begin to download photo : 1057314766 download finish for photo 1057314766 download finish for photo 1057314768 download finish for photo 1057314774 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 : 0.18862080574035645 #### 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 Thu Apr 17 03:46:05 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854365_1331777_1057314766_850e771a4800ad0a89e4fec977bcfedd_29707587.jpg': 1057314766, 'temp/1744854365_1331777_1057314768_3b6c8b2738f519f078355064487ef55f_72134828.jpg': 1057314768, 'temp/1744854365_1331777_1057314774_6bab7ce0e063fda7d35a74c0adf7f25b_17612544.jpg': 1057314774} map_photo_id_path_extension : {1057314766: {'path': 'temp/1744854365_1331777_1057314766_850e771a4800ad0a89e4fec977bcfedd_29707587.jpg', 'extension': 'jpg'}, 1057314768: {'path': 'temp/1744854365_1331777_1057314768_3b6c8b2738f519f078355064487ef55f_72134828.jpg', 'extension': 'jpg'}, 1057314774: {'path': 'temp/1744854365_1331777_1057314774_6bab7ce0e063fda7d35a74c0adf7f25b_17612544.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 (2208326717,2208326718) Loaded 2 chid ids of type : 4021 SELECT crop_hashtag_id, points FROM MTRPhoto.crop_polygon_points WHERE crop_hashtag_id in (2208326717,2208326718) ++SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2208326717,2208326718) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2208326717,2208326718) SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (1057314768) 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 : [] begin to treate photo :1057314774 add chi : 2208326717 , rotate : 48 (903, 903) (530, 833, 282, 686) (404, 303, 3) (404, 303) (903, 903, 3) time for calcul the mask position with numpy : 0.0014309883117675781 nb_pixel_total : 80921 time to create 1 rle with old method : 0.09524750709533691 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 : 0.0020127296447753906 nb_pixel_total : 80921 time to create 1 rle with old method : 0.11416172981262207 begin to treate photo :1057314768 add chi : 2208326717 , rotate : 73 (799, 799) (443, 768, 334, 703) (369, 325, 3) (369, 325) (799, 799, 3) time for calcul the mask position with numpy : 0.0018537044525146484 nb_pixel_total : 80919 time to create 1 rle with old method : 0.1219186782836914 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 : 0.0018689632415771484 nb_pixel_total : 76830 time to create 1 rle with old method : 0.08910870552062988 time for calcul the mask position with numpy : 0.0017125606536865234 nb_pixel_total : 80919 time to create 1 rle with old method : 0.09483051300048828 time for calcul the mask position with numpy : 0.0015711784362792969 nb_pixel_total : 6632 time to create 1 rle with old method : 0.009689092636108398 begin to treate photo :1057314766 add chi : 2208326718 , rotate : 162 (806, 806) (263, 596, 5, 158) (153, 333, 3) (153, 333) (806, 806, 3) time for calcul the mask position with numpy : 0.0012249946594238281 nb_pixel_total : 8875 time to create 1 rle with old method : 0.015044689178466797 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 : 0.001989126205444336 nb_pixel_total : 65325 time to create 1 rle with old method : 0.0753011703491211 time for calcul the mask position with numpy : 0.002068042755126953 nb_pixel_total : 97013 time to create 1 rle with old method : 0.12080574035644531 time for calcul the mask position with numpy : 0.0020284652709960938 nb_pixel_total : 6807 time to create 1 rle with old method : 0.010207414627075195 time for calcul the mask position with numpy : 0.0017771720886230469 nb_pixel_total : 8875 time to create 1 rle with old method : 0.011099100112915039 init cache_photo without model_param we have 1 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744854367_1331777 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 : 414 INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) first line : ('3751143795', '534', '186', '2') ... last line : ('3751143795', '468', '589', '6') INSERT IGNORE INTO MTRPhoto.crop_sum_segments (`crop_hashtag_id`, `sum_segments`) VALUES (%s, %s) TO DO : save crop sub photo not yet done ! we have 1 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744854367_1331777 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 : 797 INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) first line : ('3751143796', '380', '0', '156') ... last line : ('3751143798', '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/1744854368_1331777 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 : 1322 INSERT IGNORE INTO MTRPhoto.crop_segments (`crop_hashtag_id`, `x0`, `y0`, `length`) VALUES (%s, %s, %s , %s) first line : ('3751143799', '0', '4', '1') ... last line : ('3751143802', '349', '630', '7') 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 : time spend for datou_step_exec : 3.081143856048584 time spend to save output : 5.030632019042969e-05 total time spend for step 1 : 3.0811941623687744 caffe_path_current : 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: 0.010415315628051758 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 : 0.016444683074951172 #### 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 Thu Apr 17 03:46:09 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 : 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 : 0.0002868175506591797 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 : 2.5062458515167236 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 : time spend for datou_step_exec : 3.775506019592285 time spend to save output : 7.033348083496094e-05 total time spend for step 1 : 3.77557635307312 caffe_path_current : 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 : 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 : 0.020765066146850586 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 : 0.0145416259765625 #### 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 Thu Apr 17 03:46:13 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 : 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 ERROR in datou_step_exec, will save and exit ! Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2329, in datou_exec output = datou_step_exec(sNext, args, cache, context, map_info, verbose, mtr_user_id) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2662, in datou_step_exec return post_process.datou_step_exec_ACP(param, json_param, args, context, map_info, mtr_user_id, verbose) File "/home/admin/workarea/git/Velours/python/mtr/datou/lib_step_exec/lib_step_post_processing.py", line 1198, in datou_step_exec_ACP aa = s3_model(0, CAFFE_MODELS, storage_server=storage_server) File "/home/admin/workarea/git/Velours/python/mtr/database_queries/CacheModelData_queries.py", line 55, in __init__ s3_model.connect() File "/home/admin/workarea/git/Velours/python/mtr/utils/cdn/swift_upload_manager.py", line 41, in connect resp_headers, containers = self._conn.get_account() File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 1804, in get_account return self._retry(None, get_account, marker=marker, limit=limit, File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 1738, in _retry self.url, self.token = self.get_auth() File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 1682, in get_auth self.url, self.token = get_auth(self.authurl, self.user, self.key, File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 729, in get_auth storage_url, token = get_auth_keystone(auth_url, user, File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 646, in get_auth_keystone raise ClientException('Authorization Failure. %s' % err) [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] 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', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306964', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306954', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306844', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306843', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306841', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306815', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306805', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306710', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4209', '5709050', '1069306708', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None)] time used for this insertion : 0.024015188217163086 save_final ERROR in last step acp, Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429) time spend for datou_step_exec : 0.9538919925689697 time spend to save output : 0.02564239501953125 total time spend for step 0 : 0.979534387588501 need to delete datou_research and reload, so keep current state 1 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : True ouput is None saving photo_ids in datou_result 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', '0', '492764225', '0', None), ('4209', '5709050', '1069306964', '0', '0', '0', '492764225', '0', None), ('4209', '5709050', '1069306954', '0', '0', '0', '492764225', '0', None), ('4209', '5709050', '1069306844', '0', '0', '0', '492764225', '0', None), ('4209', '5709050', '1069306843', '0', '0', '0', '492764225', '0', None), ('4209', '5709050', '1069306841', '0', '0', '0', '492764225', '0', None), ('4209', '5709050', '1069306815', '0', '0', '0', '492764225', '0', None), ('4209', '5709050', '1069306805', '0', '0', '0', '492764225', '0', None), ('4209', '5709050', '1069306710', '0', '0', '0', '492764225', '0', None), ('4209', '5709050', '1069306708', '0', '0', '0', '492764225', '0', None)] time used for this insertion : 0.025016307830810547 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 : 0.015238523483276367 #### 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 Thu Apr 17 03:46:14 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : 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 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 ERROR in datou_step_exec, will save and exit ! Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2329, in datou_exec output = datou_step_exec(sNext, args, cache, context, map_info, verbose, mtr_user_id) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2662, in datou_step_exec return post_process.datou_step_exec_ACP(param, json_param, args, context, map_info, mtr_user_id, verbose) File "/home/admin/workarea/git/Velours/python/mtr/datou/lib_step_exec/lib_step_post_processing.py", line 1164, in datou_step_exec_ACP cdm = CacheModelData(0, os.environ["CAFFE_MODELS"], storage_server="ovh") File "/home/admin/workarea/git/Velours/python/mtr/database_queries/CacheModelData_queries.py", line 58, in __init__ s3_desc.connect() File "/home/admin/workarea/git/Velours/python/mtr/utils/cdn/swift_upload_manager.py", line 41, in connect resp_headers, containers = self._conn.get_account() File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 1804, in get_account return self._retry(None, get_account, marker=marker, limit=limit, File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 1738, in _retry self.url, self.token = self.get_auth() File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 1682, in get_auth self.url, self.token = get_auth(self.authurl, self.user, self.key, File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 729, in get_auth storage_url, token = get_auth_keystone(auth_url, user, File "/usr/lib/python3/dist-packages/swiftclient/client.py", line 646, in get_auth_keystone raise ClientException('Authorization Failure. %s' % err) [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] 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 : [('4212', '5709050', '1069306967', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4212', '5709050', '1069306964', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4212', '5709050', '1069306954', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4212', '5709050', '1069306844', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4212', '5709050', '1069306843', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4212', '5709050', '1069306841', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4212', '5709050', '1069306815', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4212', '5709050', '1069306805', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4212', '5709050', '1069306710', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None), ('4212', '5709050', '1069306708', "[>, , , , , 'Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429)']", '-1', '-1.0', '501120777', '1.0', None)] time used for this insertion : 0.02103281021118164 save_final ERROR in last step acp, Authorization Failure. Authorization failed: HTTP Client Error (HTTP 429) time spend for datou_step_exec : 1.2874619960784912 time spend to save output : 0.021773099899291992 total time spend for step 0 : 1.3092350959777832 need to delete datou_research and reload, so keep current state 1 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : True ouput is None saving photo_ids in datou_result 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 : [('4212', '5709050', '1069306967', '0', '0', '0', '492764225', '0', None), ('4212', '5709050', '1069306964', '0', '0', '0', '492764225', '0', None), ('4212', '5709050', '1069306954', '0', '0', '0', '492764225', '0', None), ('4212', '5709050', '1069306844', '0', '0', '0', '492764225', '0', None), ('4212', '5709050', '1069306843', '0', '0', '0', '492764225', '0', None), ('4212', '5709050', '1069306841', '0', '0', '0', '492764225', '0', None), ('4212', '5709050', '1069306815', '0', '0', '0', '492764225', '0', None), ('4212', '5709050', '1069306805', '0', '0', '0', '492764225', '0', None), ('4212', '5709050', '1069306710', '0', '0', '0', '492764225', '0', None), ('4212', '5709050', '1069306708', '0', '0', '0', '492764225', '0', None)] time used for this insertion : 0.016267061233520508 After save, about to update current ! ret : None Test for jobs "fit" and "transform" of step ACP failed fin du test de la step acp ERROR step ACP FAILED ############################### 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 : 0.24492621421813965 #### 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 Thu Apr 17 03:46:15 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27.jpg': 1105701500, 'temp/1744854375_1331777_1105701516_047b0ce16fe5e308d8512c83125c4058.jpg': 1105701516} map_photo_id_path_extension : {1105701500: {'path': 'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27.jpg', 'extension': 'jpg'}, 1105701516: {'path': 'temp/1744854375_1331777_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/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_bib_crop_2436373819_0.jpg Here we manage polygons ! new_file_path_bib_crop : temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_bib_crop_2436374262_0.jpg Here we manage polygons ! new_file_path_bib_crop : temp/1744854375_1331777_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/1744854375_1331777_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/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_black_2436373819_0.jpg', 'polygon': 'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_2436373819_0.jpg', 'polygon_crop': 'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_crop_2436373819_0.jpg', 'blur': 'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg'}, 2436374262: {'crop': 'temp/1744854375_1331777_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/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_black_2436374262_0.jpg', 'polygon': 'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_2436374262_0.jpg', 'polygon_crop': 'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_crop_2436374262_0.jpg', 'blur': 'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg'}, 2436374092: {'crop': 'temp/1744854375_1331777_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/1744854375_1331777_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_black_2436374092_0.jpg', 'polygon': 'temp/1744854375_1331777_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_2436374092_0.jpg', 'polygon_crop': 'temp/1744854375_1331777_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_crop_2436374092_0.jpg', 'blur': 'temp/1744854375_1331777_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/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1744854375_1331777_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/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1744854375_1331777_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)]} After datou_step_exec type output : time spend for datou_step_exec : 0.16382336616516113 time spend to save output : 3.719329833984375e-05 total time spend for step 1 : 0.16386055946350098 caffe_path_current : 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 : Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : 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 : 0.0871896743774414 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/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1744854375_1331777_1105701516_047b0ce16fe5e308d8512c83125c4058_polygon_blur_2436374092_1.jpg', (25, 175, 137, 235)]} ret : {1105703688: [1105701500, 'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436373819_1.jpg', (108, 300, 16, 138)], 1105703689: [1105701500, 'temp/1744854375_1331777_1105701500_b57a1caec2d74ede6814095fdd28cb27_polygon_blur_2436374262_1.jpg', (47, 300, 91, 247)], 1105703686: [1105701516, 'temp/1744854375_1331777_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 : 0.4331936836242676 #### 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 Thu Apr 17 03:46:16 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1744854376_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377} map_photo_id_path_extension : {1114046597: {'path': 'temp/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1744854376_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Begin step datou_step_copy_crop processing picture : temp/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg processing picture : temp/1744854376_1331777_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 : time spend for datou_step_exec : 0.06392979621887207 time spend to save output : 3.2901763916015625e-05 total time spend for step 1 : 0.06396269798278809 step2:consolidate_hashtags_from_manual_portfolio Thu Apr 17 03:46:16 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1744854376_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377} map_photo_id_path_extension : {1114046597: {'path': 'temp/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1744854376_1331777_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 : time spend for datou_step_exec : 1.8244059085845947 time spend to save output : 4.649162292480469e-05 total time spend for step 2 : 1.8244524002075195 step3:rle_unique_nms_with_priority Thu Apr 17 03:46:18 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec 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/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'temp/1744854376_1331777_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/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg'] After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1744854376_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377} map_photo_id_path_extension : {1114046597: {'path': 'temp/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1744854376_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Begin step rle-unique-nms on traite la photo : temp/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg on traite la photo : temp/1744854376_1331777_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 (2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058408,2805058409,2805058410,2805058411,2805058412,2805058413,2805058414,2805058415,2805058416,2805058417,2805058418,2805058419,2805058420,2805058421,2805058422,2805058423,2805058424,2805058425,2805058426,2805058427,2805058428,2805058429,2805058430,2805058431) SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058408,2805058409,2805058410,2805058411,2805058412,2805058413,2805058414,2805058415,2805058416,2805058417,2805058418,2805058419,2805058420,2805058421,2805058422,2805058423,2805058424,2805058425,2805058426,2805058427,2805058428,2805058429,2805058430,2805058431) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058408,2805058409,2805058410,2805058411,2805058412,2805058413,2805058414,2805058415,2805058416,2805058417,2805058418,2805058419,2805058420,2805058421,2805058422,2805058423,2805058424,2805058425,2805058426,2805058427,2805058428,2805058429,2805058430,2805058431) 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 : 0.03270697593688965 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 : 0.03487133979797363 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 : time spend for datou_step_exec : 1.0268113613128662 time spend to save output : 0.00011396408081054688 total time spend for step 3 : 1.0269253253936768 step4:ventilate_hashtags_in_portfolio Thu Apr 17 03:46:19 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 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1744854376_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377} map_photo_id_path_extension : {1114046597: {'path': 'temp/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1744854376_1331777_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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 17, 3, 46, 18), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 18)}, '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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 : time spend for datou_step_exec : 0.42029643058776855 time spend to save output : 7.605552673339844e-05 total time spend for step 4 : 0.42037248611450195 step5:final Thu Apr 17 03:46:19 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 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1744854376_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377} map_photo_id_path_extension : {1114046597: {'path': 'temp/1744854376_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1744854376_1331777_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 : time spend for datou_step_exec : 0.02974843978881836 time spend to save output : 0.00013303756713867188 total time spend for step 5 : 0.02988147735595703 caffe_path_current : 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 : 0.01624917984008789 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 : 0.2555243968963623 #### 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 Thu Apr 17 03:46:20 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854380_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1744854380_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377} map_photo_id_path_extension : {1114046597: {'path': 'temp/1744854380_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1744854380_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Begin step datou_step_copy_crop processing picture : temp/1744854380_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg processing picture : temp/1744854380_1331777_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 : time spend for datou_step_exec : 0.05006575584411621 time spend to save output : 4.57763671875e-05 total time spend for step 1 : 0.05011153221130371 step2:consolidate_hashtags_from_manual_portfolio Thu Apr 17 03:46:20 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 : Here we display some param of map_info ! map_filenames : {'temp/1744854380_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1744854380_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377} map_photo_id_path_extension : {1114046597: {'path': 'temp/1744854380_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1744854380_1331777_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 : time spend for datou_step_exec : 1.5434176921844482 time spend to save output : 6.556510925292969e-05 total time spend for step 2 : 1.5434832572937012 step3:rle_unique_nms_with_priority Thu Apr 17 03:46:21 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 : ['temp/1744854380_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'temp/1744854380_1331777_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/1744854380_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg'] After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854380_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1744854380_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377} map_photo_id_path_extension : {1114046597: {'path': 'temp/1744854380_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1744854380_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg', 'extension': 'jpg'}} map_subphoto_mainphoto : {} Begin step rle-unique-nms on traite la photo : temp/1744854380_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg on traite la photo : temp/1744854380_1331777_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 (2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058408,2805058409,2805058410,2805058411,2805058412,2805058413,2805058414,2805058415,2805058416,2805058417,2805058418,2805058419,2805058420,2805058421,2805058422,2805058423,2805058424,2805058425,2805058426,2805058427,2805058428,2805058429,2805058430,2805058431) SELECT * FROM MTRPhoto.crop_segments WHERE crop_hashtag_id in (2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058408,2805058409,2805058410,2805058411,2805058412,2805058413,2805058414,2805058415,2805058416,2805058417,2805058418,2805058419,2805058420,2805058421,2805058422,2805058423,2805058424,2805058425,2805058426,2805058427,2805058428,2805058429,2805058430,2805058431) SELECT * FROM MTRPhoto.crop_sum_segments WHERE crop_hashtag_id in (2805058344,2805058345,2805058346,2805058347,2805058348,2805058349,2805058350,2805058351,2805058352,2805058353,2805058354,2805058355,2805058356,2805058357,2805058358,2805058359,2805058360,2805058361,2805058362,2805058363,2805058364,2805058365,2805058366,2805058367,2805058368,2805058369,2805058370,2805058371,2805058372,2805058373,2805058374,2805058375,2805058376,2805058377,2805058378,2805058379,2805058380,2805058381,2805058382,2805058383,2805058384,2805058385,2805058386,2805058387,2805058388,2805058389,2805058390,2805058391,2805058392,2805058393,2805058394,2805058395,2805058396,2805058397,2805058398,2805058399,2805058400,2805058401,2805058402,2805058403,2805058404,2805058405,2805058406,2805058407,2805058408,2805058409,2805058410,2805058411,2805058412,2805058413,2805058414,2805058415,2805058416,2805058417,2805058418,2805058419,2805058420,2805058421,2805058422,2805058423,2805058424,2805058425,2805058426,2805058427,2805058428,2805058429,2805058430,2805058431) 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 : 0.03189969062805176 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 : 0.03165745735168457 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 : time spend for datou_step_exec : 0.8079500198364258 time spend to save output : 8.058547973632812e-05 total time spend for step 3 : 0.8080306053161621 step4:ventilate_hashtags_in_portfolio Thu Apr 17 03:46:22 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure input_args_next_step, len :0, first value : [] After prepare type args : Here we display some param of map_info ! map_filenames : {'temp/1744854380_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg': 1114046597, 'temp/1744854380_1331777_1114046377_5a616bef1e05c703d5ceed86ed97d218.jpg': 1114046377} map_photo_id_path_extension : {1114046597: {'path': 'temp/1744854380_1331777_1114046597_e7ec945a635561c7bd8479a35c983a2c.jpg', 'extension': 'jpg'}, 1114046377: {'path': 'temp/1744854380_1331777_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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 16, 21, 45, 48), 'last_updated_at_desc': datetime.datetime(2025, 4, 16, 21, 45, 48), '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, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'carton': {'main_port_id': 6549724, 'sub_port_id': 9755347, 'hashtag': 'carton', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534383, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'metal': {'main_port_id': 6549724, 'sub_port_id': 9755348, 'hashtag': 'metal', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534384, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'pet_clair': {'main_port_id': 6549724, 'sub_port_id': 9755349, 'hashtag': 'pet_clair', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534385, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'pehd': {'main_port_id': 6549724, 'sub_port_id': 9755350, 'hashtag': 'pehd', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534386, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'pet_fonce': {'main_port_id': 6549724, 'sub_port_id': 9755351, 'hashtag': 'pet_fonce', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534387, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'pet_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755352, 'hashtag': 'pet_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534388, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'barquette_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755353, 'hashtag': 'barquette_opaque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534389, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'film_plastique': {'main_port_id': 6549724, 'sub_port_id': 9755354, 'hashtag': 'film_plastique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534390, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'ela': {'main_port_id': 6549724, 'sub_port_id': 9755355, 'hashtag': 'ela', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534391, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'sac': {'main_port_id': 6549724, 'sub_port_id': 9755356, 'hashtag': 'sac', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534392, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'textiles': {'main_port_id': 6549724, 'sub_port_id': 9755357, 'hashtag': 'textiles', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534393, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'verre': {'main_port_id': 6549724, 'sub_port_id': 9755358, 'hashtag': 'verre', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534394, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'organique': {'main_port_id': 6549724, 'sub_port_id': 9755359, 'hashtag': 'organique', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534395, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'dasri': {'main_port_id': 6549724, 'sub_port_id': 9755360, 'hashtag': 'dasri', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534396, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'masque': {'main_port_id': 6549724, 'sub_port_id': 9755361, 'hashtag': 'masque', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534397, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'encombrant': {'main_port_id': 6549724, 'sub_port_id': 9755362, 'hashtag': 'encombrant', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534398, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'autre_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755363, 'hashtag': 'autre_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534399, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'autre_non_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755364, 'hashtag': 'autre_non_emballage', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534400, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'environnement': {'main_port_id': 6549724, 'sub_port_id': 9755365, 'hashtag': 'environnement', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534401, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'mal_croppe': {'main_port_id': 6549724, 'sub_port_id': 9755366, 'hashtag': 'mal_croppe', 'pht': 4490, 'min_score': 0.1, 'mtr_user_id': 31, 'id': 4534402, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), '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, 4, 17, 3, 46, 19), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), '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, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'carton': {'main_port_id': 6549724, 'sub_port_id': 9755324, 'hashtag': 'carton', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534334, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'metal': {'main_port_id': 6549724, 'sub_port_id': 9755325, 'hashtag': 'metal', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534335, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'pet_clair': {'main_port_id': 6549724, 'sub_port_id': 9755326, 'hashtag': 'pet_clair', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534336, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'pehd': {'main_port_id': 6549724, 'sub_port_id': 9755327, 'hashtag': 'pehd', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534337, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'pet_fonce': {'main_port_id': 6549724, 'sub_port_id': 9755328, 'hashtag': 'pet_fonce', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534338, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'pet_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755329, 'hashtag': 'pet_opaque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534339, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'barquette_opaque': {'main_port_id': 6549724, 'sub_port_id': 9755330, 'hashtag': 'barquette_opaque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534340, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'film_plastique': {'main_port_id': 6549724, 'sub_port_id': 9755331, 'hashtag': 'film_plastique', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534341, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'ela': {'main_port_id': 6549724, 'sub_port_id': 9755332, 'hashtag': 'ela', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534342, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'sac': {'main_port_id': 6549724, 'sub_port_id': 9755333, 'hashtag': 'sac', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534343, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'textiles': {'main_port_id': 6549724, 'sub_port_id': 9755334, 'hashtag': 'textiles', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534344, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'verre': {'main_port_id': 6549724, 'sub_port_id': 9755335, 'hashtag': 'verre', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534345, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'organique': {'main_port_id': 6549724, 'sub_port_id': 9755336, 'hashtag': 'organique', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534346, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'dasri': {'main_port_id': 6549724, 'sub_port_id': 9755337, 'hashtag': 'dasri', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534347, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'masque': {'main_port_id': 6549724, 'sub_port_id': 9755338, 'hashtag': 'masque', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534348, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'encombrant': {'main_port_id': 6549724, 'sub_port_id': 9755339, 'hashtag': 'encombrant', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534349, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'autre_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755340, 'hashtag': 'autre_emballage', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534350, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'autre_non_emballage': {'main_port_id': 6549724, 'sub_port_id': 9755341, 'hashtag': 'autre_non_emballage', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534351, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'environnement': {'main_port_id': 6549724, 'sub_port_id': 9755342, 'hashtag': 'environnement', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534352, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 21), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2025, 4, 17, 3, 46, 21)}, 'mal_croppe': {'main_port_id': 6549724, 'sub_port_id': 9755344, 'hashtag': 'mal_croppe', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534354, 'last_updated_at': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_desc': datetime.datetime(2023, 6, 19, 18, 33, 50), 'last_updated_at_asc': datetime.datetime(2023, 6, 19, 18, 33, 50)}, 'flou': {'main_port_id': 6549724, 'sub_port_id': 9755345, 'hashtag': 'flou', 'pht': 4483, 'min_score': 0.1, 'mtr_user_id': 440, 'id': 4534355, 'last_updated_at': datetime.datetime(2025, 4, 17, 3, 46, 19), 'last_updated_at_desc': datetime.datetime(2025, 4, 17, 3, 46, 19), '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 : time spend for datou_step_exec : 0.8714282512664795 time spend to save output : 5.245208740234375e-05 total time spend for step 4 : 0.8714807033538818 caffe_path_current : 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 : 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 : 0.014835357666015625 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', 'FAILURE', False), ('ordonner', 'SUCCESS', True), ('rotate', 'SUCCESS', True), ('data_augmentation_ellipse_varroa_tile_rotate', 'FAILURE', False), ('flip', 'FAILURE', False), ('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', 'SUCCESS', True), ('image_temperature_detection', 'success', True), ('broca', 'success', True), ('crop_conditional', 'success', True), ('image_blanchir', 'success', True), ('darker_image', 'success', True), ('img_aug', 'success', True), ('rubbia', 'success', True), ('rubbia_split_dark', 'success', True), ('rubbia_append', 'success', True), ('rubbia_horaire', 'failed', False), ('rle_unique_nms_with_priority', 'SUCCESS', True), ('random_deformation', 'success', True), ('tile', 'Success', True), ('rotate_chi', 'Success', True), ('rubbia_carac_pet_clair_0121_no_cnn', 'success', True), ('rubbia_carac_jrm_no_mask_detect', 'success', True), ('ventilate_hashtags_in_portfolio', 'success', True), ('poly_ro_rle', 'Success', True), ('cod_sts', 'success', True), ('cod_download', 'success', True), ('sendgrid', 'Success', True), ('rym_consolidate', 'Success', True), ('generate_new_image_add_crop', 'Success', True), ('velours_tree', 'Success', True), ('step ACP', 'failed', False), ('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 FAILED #&_#_#&_# #&_#_#&_# TEST ordonner SUCCEEDED #&_#_#&_# #&_#_#&_# TEST rotate SUCCEEDED #&_#_#&_# #&_#_#&_# TEST data_augmentation_ellipse_varroa_tile_rotate FAILED #&_#_#&_# #&_#_#&_# TEST flip FAILED #&_#_#&_# #&_#_#&_# 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 SUCCEEDED #&_#_#&_# #&_#_#&_# TEST image_temperature_detection SUCCEEDED #&_#_#&_# #&_#_#&_# TEST broca SUCCEEDED #&_#_#&_# #&_#_#&_# TEST crop_conditional SUCCEEDED #&_#_#&_# #&_#_#&_# TEST image_blanchir SUCCEEDED #&_#_#&_# #&_#_#&_# TEST darker_image SUCCEEDED #&_#_#&_# #&_#_#&_# TEST img_aug SUCCEEDED #&_#_#&_# #&_#_#&_# TEST rubbia SUCCEEDED #&_#_#&_# #&_#_#&_# TEST rubbia_split_dark SUCCEEDED #&_#_#&_# #&_#_#&_# TEST rubbia_append SUCCEEDED #&_#_#&_# #&_#_#&_# TEST rubbia_horaire FAILED #&_#_#&_# #&_#_#&_# TEST rle_unique_nms_with_priority SUCCEEDED #&_#_#&_# #&_#_#&_# TEST random_deformation SUCCEEDED #&_#_#&_# #&_#_#&_# TEST tile SUCCEEDED #&_#_#&_# #&_#_#&_# TEST rotate_chi SUCCEEDED #&_#_#&_# #&_#_#&_# TEST rubbia_carac_pet_clair_0121_no_cnn SUCCEEDED #&_#_#&_# #&_#_#&_# TEST rubbia_carac_jrm_no_mask_detect SUCCEEDED #&_#_#&_# #&_#_#&_# TEST ventilate_hashtags_in_portfolio SUCCEEDED #&_#_#&_# #&_#_#&_# TEST poly_ro_rle SUCCEEDED #&_#_#&_# #&_#_#&_# TEST cod_sts SUCCEEDED #&_#_#&_# #&_#_#&_# TEST cod_download SUCCEEDED #&_#_#&_# #&_#_#&_# TEST sendgrid SUCCEEDED #&_#_#&_# #&_#_#&_# TEST rym_consolidate SUCCEEDED #&_#_#&_# #&_#_#&_# TEST generate_new_image_add_crop SUCCEEDED #&_#_#&_# #&_#_#&_# TEST velours_tree SUCCEEDED #&_#_#&_# #&_#_#&_# TEST step ACP FAILED #&_#_#&_# #&_#_#&_# 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_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"sam": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','sam'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"frcnn": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','frcnn'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 SQL :INSERT INTO MTRAdmin.monitor_sys (name, type, server, version_code, result_str, 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"success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','ventilate_hashtags_in_portfolio'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"poly_ro_rle": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','poly_ro_rle'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"cod_sts": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','cod_sts'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"cod_download": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','cod_download'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"sendgrid": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','sendgrid'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"rym_consolidate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','rym_consolidate'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"generate_new_image_add_crop": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','generate_new_image_add_crop'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"velours_tree": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','velours_tree'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"step ACP": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','step ACP'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"blur_crop": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','blur_crop'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"pma_consolidate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','pma_consolidate'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"pma_ventilate": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','datou','pma_ventilate'); #&_# END OF TEST #&_# : tests/datou_test #&_# #&_# BEGIN OF TEST : mtr/database_queries/CacheModelData_queries #&_# /home/admin/workarea/git/Velours/python/mtr/database_queries/CacheModelData_queries.py 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_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"CacheModelData_queries": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','CacheModelData_queries','unknown'); #&_# END OF TEST #&_# : mtr/database_queries/CacheModelData_queries #&_# #&_# BEGIN OF TEST : tests/cache_photo_data_test #&_# /home/admin/workarea/git/Velours/python/tests/cache_photo_data_test.py 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 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930151813, 'portfolio_id': 1162416}, {'photo_id': 930121174, 'portfolio_id': 1162416}, {'photo_id': 930036928, 'portfolio_id': 1162416}, {'photo_id': 930004214, 'portfolio_id': 1162416}, {'photo_id': 929997042, 'portfolio_id': 1162416}, {'photo_id': 929995451, 'portfolio_id': 1162416}, {'photo_id': 929952896, 'portfolio_id': 1162416}, {'photo_id': 929938277, 'portfolio_id': 1162416}, {'photo_id': 929917391, 'portfolio_id': 1162416}, {'photo_id': 929867509, 'portfolio_id': 1162416}, {'photo_id': 929852170, 'portfolio_id': 1162416}, {'photo_id': 929841716, 'portfolio_id': 1162416}, {'photo_id': 929821336, 'portfolio_id': 1162416}, {'photo_id': 929819490, 'portfolio_id': 1162416}, {'photo_id': 929809329, 'portfolio_id': 1162416}, {'photo_id': 929807315, 'portfolio_id': 1162416}, {'photo_id': 929806174, 'portfolio_id': 1162416}, {'photo_id': 929802254, 'portfolio_id': 1162416}, {'photo_id': 929791288, 'portfolio_id': 1162416}, {'photo_id': 929786343, 'portfolio_id': 1162416}, {'photo_id': 929776980, '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, 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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 : 1109585436 begin to download photo : 1109585121 HTTP Error 404: Not Found can't download the photo : 1109585109 download finish for photo 1109585109 HTTP Error 404: Not Found can't download the photo : 1109585436 download finish for photo 1109585436 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 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, 1109585436, 1109585120, 1109585121] ############################### 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_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"CachePhotoData_queries": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','CachePhotoData_queries','unknown'); #&_# END OF TEST #&_# : tests/cache_photo_data_test #&_# #&_# BEGIN OF TEST : mtr/mask_rcnn/prepare_maskdata #&_# /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/prepare_maskdata.py 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: [, , , , , , , , , , , , , , , , , , , ]} 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: [, , , , , , , , , , , , , , , ]} 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: [, , , , , , , , , , , , , , , , , , , ]} 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: [, , , , , , , , , , , , , , , , , , ]} 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: [, , , , , , , , , , , , , , , , , , , ]} {2096875719: 'Plaque-immatriculation', 599722655: 'capot'} {907850592: [, , , , , , , , , , , , , , , , , , , ], 907862724: [, , , , , , , , , , , , , , , , , , , ], 907863602: [, , , , , , , , , , , , , , , , , , ], 907863940: [, , , , , , , , , , , , , , , , , , , ]} 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: [, , , , , , , , , , , , , , ]} {2107755846: 'pet_clair'} {964453879: [, , , , , , , , , , , , , , ]} dict_keys([964453879]) SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (964453879) Found this number of photos: 1 [{'photo_id': 964453879, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2019/1/6/3d07bc7d06c477acf98514ee747d5c5a.jpg'}] {964453879: '/data/data_root/test_preparedata/val/964453879.jpg'} environment 492622729 964453879 x0 : 0 y1 : 479 width : 112, height : 415, area : 46480, score : 1.0 None error 501120777 964453879 x0 : 142 y1 : 479 width : 28, height : 20, area : 560, score : 1.0 None error 501120777 964453879 x0 : 151 y1 : 99 width : 23, height : 42, area : 966, score : 1.0 None error 501120777 964453879 x0 : 175 y1 : 59 width : 117, height : 59, area : 6903, score : 1.0 None error 501120777 964453879 x0 : 282 y1 : 479 width : 35, height : 62, area : 2170, score : 1.0 None error 501120777 964453879 x0 : 315 y1 : 460 width : 19, height : 26, area : 494, score : 1.0 None error 501120777 964453879 x0 : 353 y1 : 361 width : 32, height : 41, area : 1312, score : 1.0 None error 501120777 964453879 x0 : 403 y1 : 215 width : 47, height : 51, area : 2397, score : 1.0 None error 501120777 964453879 x0 : 497 y1 : 253 width : 89, height : 55, area : 4895, score : 1.0 None error 501120777 964453879 x0 : 546 y1 : 195 width : 58, height : 68, area : 3944, score : 1.0 None error 501120777 964453879 x0 : 613 y1 : 323 width : 20, height : 32, area : 640, score : 1.0 None error 501120777 964453879 x0 : 638 y1 : 225 width : 17, height : 27, area : 459, score : 1.0 None pet_clair 2107755846 964453879 x0 : 0 y1 : 479 width : 719, height : 479, area : 344401, score : 1.0 None error 501120777 964453879 x0 : 546 y1 : 195 width : 60, height : 68, area : 4080, score : 1.0 None error 501120777 964453879 x0 : 613 y1 : 323 width : 22, height : 32, area : 704, score : 1.0 None /data/data_root/test_preparedata/val/964453879.jpg #&_#_#&_# TEST prepare mask data rle SUCCEEDED #&_#_#&_# time for calcul the mask position with numpy : 0.00011944770812988281 nb_pixel_total : 6 time to create 1 rle with old method : 2.5033950805664062e-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_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"prepare mask data poly": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','prepare_maskdata','prepare mask data poly'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"prepare mask data rle": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','prepare_maskdata','prepare mask data rle'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"prepare mask data mat": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','prepare_maskdata','prepare mask data mat'); #&_# END OF TEST #&_# : mtr/mask_rcnn/prepare_maskdata #&_# #&_# BEGIN OF TEST : mtr/database_queries/portfolio_queries #&_# /home/admin/workarea/git/Velours/python/mtr/database_queries/portfolio_queries.py 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_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"portfolio_queries": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','portfolio_queries','unknown'); #&_# END OF TEST #&_# : mtr/database_queries/portfolio_queries #&_# #&_# BEGIN OF TEST : prod/memo/memo #&_# /home/admin/workarea/git/Velours/python/prod/memo/memo.py SLA Mensuel python version used : 3 ############################### TEST memo ################################ Removing /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3981 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3981 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3981 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3804 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3804 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3804 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_background': 'pet_clair', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier TODO : Insert select and so on SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_2"; SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3981 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3981 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3981 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3804 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3804 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3804 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_background': 'pet_clair', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier nb_day : (0, 31) VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3981 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3981 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3981 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3804 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3804 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3804 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_background': 'pet_clair', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier TODO : Insert select and so on SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_2"; SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3981 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3981 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3981 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3804 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3804 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3804 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_background': 'pet_clair', '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 : dt_date_just_month_year : 2022-08-01 00:00:00 : VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! Error parsing crontab ! [Errno 2] No such file or directory: '' You better check your LOGRASPI env !!! after pl.get_datou_sts_from_crontab : verbose : True no sts found, try to find from database SELECT dri.id FROM MTRPhoto.dashboard_run_ids dri, MTRPhoto.dashboard_entry_day ded, MTRPhoto.dashboard_places dp WHERE dp.name= "Romainville_Presse_2" AND ded.dashboard_place_id=dp.id AND dri.dashboard_entry_day=ded.id AND dri.id=ded.last_run_id AND ded.date >= "2022-08-01" AND ded.date <= "2022-08-31" apple3 {'gm': {'mat': 'gm', 'pht': 4209, 'datou_carac_id': 3994, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier,background'}, 'emr': {'mat': 'emr', 'pht': 4207, 'datou_carac_id': 3993, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'carton,background'}, 'jrm': {'mat': 'jrm', 'pht': 3726, 'datou_carac_id': 3459, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier,background'}, 'ela': {'mat': 'ela', 'pht': 4203, 'datou_carac_id': 3991, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'ela,background'}, 'pehd_pp': {'mat': 'pehd_pp', 'pht': 4211, 'datou_carac_id': 3995, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pehd,background'}, 'pet_fonce': {'mat': 'pet_fonce', 'pht': 4200, 'datou_carac_id': 4153, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_fonce,background'}, 'aluminium': {'mat': 'aluminium', 'pht': 4205, 'datou_carac_id': 3992, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'metal,background'}, 'refus': {'mat': 'refus', 'pht': 3594, 'datou_carac_id': 3318, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'refus,background'}, 'pet_clair': {'mat': 'pet_clair', 'pht': 3327, 'datou_carac_id': 3804, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_clair,bouchon,etiquette,barquette_avec_film,background'}} SELECT h.hashtag as unwanted_material, substr(dr.hashtag,8) as main_material, ptp.type as pht_type, sum(pcr.value*dr.nombre_balle)/sum(dr.nombre_balle) as ratio, count(distinct mpp.mtr_photo_id) as nb_photo, group_concat(distinct ptp.mtr_portfolio_id_2) as list_port_cont, group_concat(distinct concat(cast(ptp.mtr_portfolio_id_1 as char), ":", cast(ptp.mtr_portfolio_id_2 as char))) as assoc_port, group_concat(distinct concat(cast(ptp.mtr_portfolio_id_1 as char), ":", h.hashtag, ":", cast(ptp.type as char), ":", cast(ptp.mtr_portfolio_id_2 as char))) as assoc_mat FROM MTRPhoto.dashboard_results dr, MTRPhoto.mtr_port_to_port_ids ptp, MTRUser.mtr_portfolio_photos mpp, MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h WHERE dr.dashboard_run_id IN (448643,449568,454450,454465,454459,454472,456239,458795,461498,454567,457375,457649,459844,460382,461634,463066,472528,465865,469297,468129,475039,472453,474892,474538,475316,476524,479832,481665,479903) AND dr.mtr_portfolio_id=ptp.mtr_portfolio_id_1 AND dr.qualite >= 0 AND mpp.mtr_portfolio_id=ptp.mtr_portfolio_id_2 AND pcr.portfolio_id=ptp.mtr_portfolio_id_1 AND h.hashtag_id = pcr.hashtag_id AND ptp.type = pcr.hashtag_type AND mpp.hide_status = 0 AND ptp.hashtag_id=h.hashtag_id AND ptp.type IN (4209,4207,3726,4203,4211,4200,4205,3594,3327) group by h.hashtag, dr.hashtag, ptp.type; VR TODO TO BETTER PARSE ! ({'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0001728785023265608, 'nb_photo': 18, 'list_port_cont': '6861407,6862123,6862547,6867908,6868674,6869389,6869558,6877707,6877972,6881690,6891352,6894202,6907047,6922714,6925593', 'assoc_port': '6790887:6862547,6794193:6862123,6834822:6877972,6840554:6877707,6845438:6869389,6846972:6869558,6851003:6868674,6853215:6861407,6864848:6867908,6881492:6881690,6889190:6891352,6894094:6894202,6906036:6907047,6921897:6922714,6925484:6925593', 'assoc_mat': '6790887:barquette_opaque:4207:6862547,6794193:barquette_opaque:4207:6862123,6834822:barquette_opaque:4207:6877972,6840554:barquette_opaque:4207:6877707,6845438:barquette_opaque:4207:6869389,6846972:barquette_opaque:4207:6869558,6851003:barquette_opaque:4207:6868674,6853215:barquette_opaque:4207:6861407,6864848:barquette_opaque:4207:6867908,6881492:barquette_opaque:4207:6881690,6889190:barquette_opaque:4207:6891352,6894094:barquette_opaque:4207:6894202,6906036:barquette_opaque:4207:6907047,6921897:barquette_opaque:4207:6922714,6925484:barquette_opaque:4207:6925593'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 8.469862336652651e-05, 'nb_photo': 44, 'list_port_cont': '6626450,6627857,6628405,6628829,6644425,6664932,6665236,6666075,6666652,6669243,6669771,6706891,6712605,6719637,6720391,6720629,6722154,6744912,6762879,6775287,6835808,6841133,6842925,6846016,6852775,6853230', 'assoc_port': '6625827:6626450,6627447:6627857,6627801:6628405,6628455:6628829,6630580:6664932,6630581:6665236,6630822:6666075,6631618:6669771,6639123:6644425,6665718:6666652,6668655:6669243,6706262:6706891,6708643:6712605,6719441:6719637,6719951:6720391,6720202:6720629,6721827:6722154,6744086:6744912,6762224:6762879,6774283:6775287,6834821:6835808,6840554:6841133,6842390:6842925,6845438:6846016,6852117:6852775,6852533:6853230', 'assoc_mat': '6625827:barquette_opaque:4209:6626450,6627447:barquette_opaque:4209:6627857,6627801:barquette_opaque:4209:6628405,6628455:barquette_opaque:4209:6628829,6630580:barquette_opaque:4209:6664932,6630581:barquette_opaque:4209:6665236,6630822:barquette_opaque:4209:6666075,6631618:barquette_opaque:4209:6669771,6639123:barquette_opaque:4209:6644425,6665718:barquette_opaque:4209:6666652,6668655:barquette_opaque:4209:6669243,6706262:barquette_opaque:4209:6706891,6708643:barquette_opaque:4209:6712605,6719441:barquette_opaque:4209:6719637,6719951:barquette_opaque:4209:6720391,6720202:barquette_opaque:4209:6720629,6721827:barquette_opaque:4209:6722154,6744086:barquette_opaque:4209:6744912,6762224:barquette_opaque:4209:6762879,6774283:barquette_opaque:4209:6775287,6834821:barquette_opaque:4209:6835808,6840554:barquette_opaque:4209:6841133,6842390:barquette_opaque:4209:6842925,6845438:barquette_opaque:4209:6846016,6852117:barquette_opaque:4209:6852775,6852533:barquette_opaque:4209:6853230'}, {'unwanted_material': 'carton', 'main_material': 'aluminium', 'pht_type': 4205, 'ratio': 0.01022994561299725, 'nb_photo': 16, 'list_port_cont': '6625532,6880743,6880786', 'assoc_port': '6625304:6625532,6880715:6880786,6880716:6880743', 'assoc_mat': '6625304:carton:4205:6625532,6880715:carton:4205:6880786,6880716:carton:4205:6880743'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.9683717828305286, 'nb_photo': 2565, 'list_port_cont': '6860769,6860801,6860841,6860928,6860987,6861035,6861210,6861405,6861437,6861808,6861831,6861929,6862023,6862130,6862206,6862328,6862365,6862540,6862581,6862649,6862984,6863819,6864050,6866304,6866467,6866495,6866955,6867660,6867837,6867907,6868220,6868254,6868280,6868378,6868398,6868623,6868676,6868731,6868887,6868963,6869104,6869323,6869395,6869455,6869560,6876859,6876893,6876912,6876948,6877006,6877054,6877103,6877189,6877551,6877616,6877676,6877710,6877780,6877820,6877867,6877909,6877915,6877971,6877996,6878027,6881699,6884486,6886468,6886876,6887990,6888294,6889466,6891082,6891177,6891354,6894196,6894492,6895946,6896156,6897897,6898092,6898471,6898488,6900295,6900456,6904480,6904513,6905153,6905998,6906484,6907056,6908162,6908516,6908935,6909121,6914618,6915177,6915209,6915268,6916694,6917250,6917397,6920809,6922717,6925589', 'assoc_port': '6790886:6864050,6790887:6862540,6794193:6862130,6832752:6877915,6832753:6877867,6833565:6878027,6834821:6877996,6834822:6877971,6836050:6877780,6838973:6877676,6838974:6877616,6840554:6877710,6842390:6877820,6845438:6869395,6846972:6869560,6846973:6869455,6848417:6869323,6849526:6868887,6851003:6868676,6852117:6868731,6852533:6869104,6852534:6868963,6853215:6861405,6853569:6861437,6853919:6868623,6855642:6860801,6859123:6861831,6860530:6861210,6860531:6861035,6860532:6860987,6860535:6860928,6860537:6860841,6860538:6860769,6861512:6868220,6861514:6868280,6861516:6868254,6861517:6868378,6861519:6862581,6861520:6862649,6861522:6861808,6861523:6862328,6861524:6862206,6861525:6861929,6861635:6862365,6861636:6862023,6862501:6862984,6863220:6863819,6864848:6867907,6864850:6867837,6864851:6867660,6864853:6866955,6864855:6866495,6865738:6866304,6865739:6866467,6868332:6868398,6876683:6877189,6876684:6876912,6876685:6877006,6876686:6877054,6876687:6877103,6876688:6876893,6876689:6876948,6876691:6876859,6877478:6877909,', 'assoc_mat': '6790886:carton:4207:6864050,6790887:carton:4207:6862540,6794193:carton:4207:6862130,6832752:carton:4207:6877915,6832753:carton:4207:6877867,6833565:carton:4207:6878027,6834821:carton:4207:6877996,6834822:carton:4207:6877971,6836050:carton:4207:6877780,6838973:carton:4207:6877676,6838974:carton:4207:6877616,6840554:carton:4207:6877710,6842390:carton:4207:6877820,6845438:carton:4207:6869395,6846972:carton:4207:6869560,6846973:carton:4207:6869455,6848417:carton:4207:6869323,6849526:carton:4207:6868887,6851003:carton:4207:6868676,6852117:carton:4207:6868731,6852533:carton:4207:6869104,6852534:carton:4207:6868963,6853215:carton:4207:6861405,6853569:carton:4207:6861437,6853919:carton:4207:6868623,6855642:carton:4207:6860801,6859123:carton:4207:6861831,6860530:carton:4207:6861210,6860531:carton:4207:6861035,6860532:carton:4207:6860987,6860535:carton:4207:6860928,6860537:carton:4207:6860841,6860538:carton:4207:6860769,6861512:carton:4207:6868220,6861514:carton:4207:6868280,6861516:carton:4207:6868254,6861517:carton:4'}, {'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.007834080277437061, 'nb_photo': 1462, 'list_port_cont': '6613099,6614127,6614585,6615525,6616029,6626453,6627860,6628395,6628840,6629152,6629205,6629281,6635304,6635369,6635432,6639702,6640661,6641608,6642551,6644436,6646356,6647438,6648160,6648884,6654375,6655819,6657180,6658370,6659145,6659232,6660891,6661075,6664557,6664640,6664706,6664802,6664929,6665234,6666043,6666077,6666648,6666765,6666944,6668004,6668673,6668922,6669250,6669483,6669559,6669701,6669786,6669812,6670114,6671149,6671463,6671574,6671847,6672297,6674151,6674264,6674794,6676772,6678452,6681186,6683438,6683967,6700222,6702222,6704712,6706887,6708974,6709414,6709569,6710040,6710776,6711299,6712611,6716502,6718348,6718717,6718883,6719281,6719649,6719891,6720389,6720622,6722163,6722585,6722885,6723449,6723510,6744917,6745245,6746407,6748615,6748946,6749029,6758826,6760253,6760547,6761445,6761998,6762877,6774108,6774613,6775298,6776475,6776981,6813192,6834126,6834362,6834696,6835803,6836102,6837017,6839291,6839592,6841138,6842928,6846019,6847495,6847556,6849259,6850419,6851368,6852770,6853216,6853519,', 'assoc_port': 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'assoc_mat': 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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,'}) select count(distinct mtr_photo_id) from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in (select mtr_portfolio_id from MTRPhoto.dashboard_results where dashboard_run_id in(448643,449568,454450,454465,454459,454472,456239,458795,461498,454567,457375,457649,459844,460382,461634,463066,472528,465865,469297,468129,475039,472453,474892,474538,475316,476524,479832,481665,479903)); after get_hostname_from_raspi hasthag : emr hasthag that could be used but not yet : _______carton,background SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______emr' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038) and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month; hasthag : jrm hasthag that could be used but not yet : _______papier,background SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______jrm' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038) and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month; hasthag : aluminium hasthag that could be used but not yet : _______metal,background SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______aluminium' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038) and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month; hasthag : pet_fonce hasthag that could be used but not yet : _______pet_fonce,background SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______pet_fonce' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038) and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month; hasthag : gm hasthag that could be used but not yet : _______papier,background SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______gm' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038) and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month; after impurety_average_per_hashtag {'number_of_analysed_photos': ((8000,),), 'unwanted_material_monthly_percentage': ((0.02991916097445073,),), 'material_repartition': (('emr', 5015), ('gm', 135), ('aluminium', 89), ('jrm', 45), ('pet_fonce', 28)), 'material_dict': {'emr': 5015, 'autres': 297}, 'coverage_data': (('2022/08/31/', 0.645567), ('2022/08/30/', 1.0), ('2022/08/29/', 1.0), ('2022/08/27/', 0.463906), ('2022/08/26/', 1.0), ('2022/08/25/', 0.812121), ('2022/08/24/', 1.0), ('2022/08/23/', 1.0), ('2022/08/22/', 0.486486), ('2022/08/20/', 0.473359), ('2022/08/19/', 0.441242), ('2022/08/18/', 0.836601), ('2022/08/17/', 0.898649), ('2022/08/16/', 0.581668), ('2022/08/15/', 0.604208), ('2022/08/13/', 0.905738), ('2022/08/12/', 1.0), ('2022/08/11/', 0.555556), ('2022/08/10/', 1.0), ('2022/08/09/', 1.0), ('2022/08/08/', 1.0), ('2022/08/06/', 0.45925), ('2022/08/05/', 1.0), ('2022/08/04/', 0.511261), ('2022/08/03/', 0.850806), ('2022/08/02/', 0.714286), ('2022/08/01/', 0.615778)), 'impurety_average_data': ((datetime.date(2022, 8, 2), 0.014282331762157728, 103), (datetime.date(2022, 8, 3), 0.03494206677880239, 211), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.04557840319999026, 54), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.02268268592206632, 320), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.029592761588569258, 277), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.02985658365132344, 351), (datetime.date(2022, 8, 24), 0.02890717923269598, 369), (datetime.date(2022, 8, 25), 0.02964405365672207, 385), (datetime.date(2022, 8, 26), 0.027188360813364603, 209), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.023942954543620824, 233), (datetime.date(2022, 8, 30), 0.03176500481166622, 362), (datetime.date(2022, 8, 31), 0.024400799858355637, 340)), 'impurety_average_data_per_hashtag': {'emr': ((datetime.date(2022, 8, 2), 0.014497225753743103, 90), (datetime.date(2022, 8, 3), 0.035407726190541, 201), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.051389769677544335, 43), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.022808792662868328, 304), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.03144342737311807, 238), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.030080632780942033, 330), (datetime.date(2022, 8, 24), 0.029230789634089597, 345), (datetime.date(2022, 8, 25), 0.029901630015503007, 357), (datetime.date(2022, 8, 26), 0.028097448563616227, 175), (datetime.date(2022, 8, 29), 0.03005524006484819, 165), (datetime.date(2022, 8, 30), 0.03263495327830263, 307), (datetime.date(2022, 8, 31), 0.02525588399363416, 301)), 'jrm': ((datetime.date(2022, 8, 2), 0.012085072487249132, 13), (datetime.date(2022, 8, 19), 0.010114825333022708, 10), (datetime.date(2022, 8, 23), 0.024498907798673017, 5), (datetime.date(2022, 8, 26), 0.0052974707656706635, 12), (datetime.date(2022, 8, 29), 0.0180872193641313, 5), (datetime.date(2022, 8, 30), 0.012309361035885383, 18), (datetime.date(2022, 8, 31), 0.0, 30)), 'aluminium': ((datetime.date(2022, 8, 3), 0.0029466085982426723, 10), (datetime.date(2022, 8, 6), 0.0, 11), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.0027249051959917212, 35), (datetime.date(2022, 8, 30), 0.0, 5)), 'pet_fonce': ((datetime.date(2022, 8, 9), 0.01691330253037371, 16), (datetime.date(2022, 8, 19), 0.01514668242834379, 6), (datetime.date(2022, 8, 29), 0.0, 6)), 'gm': ((datetime.date(2022, 8, 19), 0.0036688743500458555, 23), (datetime.date(2022, 8, 23), 2.7541150063779214e-07, 16), (datetime.date(2022, 8, 24), 0.009998135847154843, 24), (datetime.date(2022, 8, 25), 0.007110951820118182, 28), (datetime.date(2022, 8, 26), 0.0026635914561474365, 22), (datetime.date(2022, 8, 29), 0.005845156606103965, 22), (datetime.date(2022, 8, 30), 0.01774597693816732, 32), (datetime.date(2022, 8, 31), 0.04037847154938461, 9))}, 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'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),)]} VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3981 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3981 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3981 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3804 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3804 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3804 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_background': 'pet_clair', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier TODO : Insert select and so on SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_2"; SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3981 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3981 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3981 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3981 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3804 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3804 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3804 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3804 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3327, 'hashtag_proportion': 'autre,carton,metal,papier,pehd,pet_fonce', 'hashtag_parmi': 'pet_clair,bouchon,etiquette,barquette_avec_film,background', 'hashtag_background': 'pet_clair', '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), 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': 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'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': 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'assoc_mat': 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{'unwanted_material': 'carton', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.007834080277437061, 'nb_photo': 1462, 'list_port_cont': 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'assoc_port': 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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': 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'6612572:pet_fonce:4209:6613106,6614336:pet_fonce:4209:6614596,6625827:pet_fonce:4209:6626457,6628455:pet_fonce:4209:6628830,6628736:pet_fonce:4209:6629210,6630577:pet_fonce:4209:6664546,6630578:pet_fonce:4209:6664700,6630581:pet_fonce:4209:6665227,6630822:pet_fonce:4209:6666079,6631384:pet_fonce:4209:6668662,6631618:pet_fonce:4209:6669785,6633545:pet_fonce:4209:6635370,6635651:pet_fonce:4209:6661079,6635653:pet_fonce:4209:6660883,6639123:pet_fonce:4209:6644426,6639695:pet_fonce:4209:6642548,6640928:pet_fonce:4209:6641607,6645791:pet_fonce:4209:6646347,6646682:pet_fonce:4209:6647448,6648217:pet_fonce:4209:6648893,6652800:pet_fonce:4209:6654377,6657819:pet_fonce:4209:6659140,6659025:pet_fonce:4209:6659225,6665067:pet_fonce:4209:6666950,6665718:pet_fonce:4209:6666644,6665719:pet_fonce:4209:6666756,6668655:pet_fonce:4209:6669252,6668656:pet_fonce:4209:6669485,6670886:pet_fonce:4209:6671575,6673850:pet_fonce:4209:6674270,6678032:pet_fonce:4209:6678461,6682633:pet_fonce:4209:6683425,6683289:pet_fonce:4209:6683978,6'}, {'unwanted_material': 'pet_fonce', 'main_material': 'gm', 'pht_type': 4209, 'ratio': 0.0009882492230258019, 'nb_photo': 2, 'list_port_cont': '6894805', 'assoc_port': '6894658:6894805', 'assoc_mat': '6894658:pet_fonce:4209:6894805'}, {'unwanted_material': 'pet_fonce', 'main_material': 'pet_fonce', 'pht_type': 4200, 'ratio': 0.9832720072705387, 'nb_photo': 21, 'list_port_cont': '6647700,6861697', 'assoc_port': '6647200:6647700,6861521:6861697', 'assoc_mat': '6647200:pet_fonce:4200:6647700,6861521:pet_fonce:4200:6861697'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4207, 'ratio': 0.0006428090611349251, 'nb_photo': 9, 'list_port_cont': '6866496,6868369,6869096,6869546,6878036,6904487,6905142,6905991,6922715', 'assoc_port': '6833565:6878036,6846972:6869546,6852533:6869096,6861517:6868369,6864855:6866496,6903710:6905991,6903712:6904487,6905102:6905142,6921897:6922715', 'assoc_mat': '6833565:pet_opaque:4207:6878036,6846972:pet_opaque:4207:6869546,6852533:pet_opaque:4207:6869096,6861517:pet_opaque:4207:6868369,6864855:pet_opaque:4207:6866496,6903710:pet_opaque:4207:6905991,6903712:pet_opaque:4207:6904487,6905102:pet_opaque:4207:6905142,6921897:pet_opaque:4207:6922715'}, {'unwanted_material': 'pet_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0005744915736568625, 'nb_photo': 214, 'list_port_cont': '6613105,6614118,6616031,6627858,6628408,6628839,6629216,6629282,6635308,6635367,6639706,6640660,6641595,6644422,6647441,6655823,6657172,6658373,6659149,6660897,6661077,6664543,6664634,6664804,6664940,6665229,6666078,6666656,6666757,6666952,6667994,6668664,6668914,6669254,6669547,6669695,6669784,6669814,6670110,6671566,6671848,6672292,6674152,6676774,6678456,6681180,6683428,6683979,6700223,6704719,6706884,6709575,6711305,6712607,6718352,6718715,6719280,6719890,6720396,6722151,6722589,6722891,6723435,6744915,6748617,6748952,6749035,6760254,6761440,6774110,6776978,6813183,6834135,6834365,6834702,6835809,6839582,6841141,6842938,6853225,6853523,6859402', 'assoc_port': '6612572:6613105,6613636:6614118,6614891:6616031,6627447:6627858,6627801:6628408,6627802:6629282,6628455:6628839,6628736:6629216,6630577:6664543,6630579:6664634,6630580:6664940,6630581:6665229,6630822:6666078,6631154:6667994,6631384:6668664,6631385:6668914,6631618:6669784,6631619:6669814,6631901:6670110,6633543:6635308,6633544:6671848,6633545:6635367,6633546:6672292,6635651:6661077,6635653:6660897,6639123:6644422,6639124:6639706,6640066:6640660,6640928:6641595,6646682:6647441,6655088:6655823,6656505:6657172,6656506:6658373,6657819:6659149,6663042:6664804,6665067:6666952,6665718:6666656,6665719:6666757,6668654:6669695,6668655:6669254,6668657:6669547,6670886:6671566,6671756:6676774,6673385:6674152,6678032:6678456,6680947:6681180,6682633:6683428,6683289:6683979,6699726:6700223,6700555:6704719,6706262:6706884,6707499:6709575,6708643:6712607,6708644:6711305,6715973:6718352,6716500:6718715,6717201:6719890,6718520:6719280,6719951:6720396,6721826:6722589,6721827:6722151,6722573:6722891,6723094:6723435,6744086:6744915,', 'assoc_mat': '6612572:pet_opaque:4209:6613105,6613636:pet_opaque:4209:6614118,6614891:pet_opaque:4209:6616031,6627447:pet_opaque:4209:6627858,6627801:pet_opaque:4209:6628408,6627802:pet_opaque:4209:6629282,6628455:pet_opaque:4209:6628839,6628736:pet_opaque:4209:6629216,6630577:pet_opaque:4209:6664543,6630579:pet_opaque:4209:6664634,6630580:pet_opaque:4209:6664940,6630581:pet_opaque:4209:6665229,6630822:pet_opaque:4209:6666078,6631154:pet_opaque:4209:6667994,6631384:pet_opaque:4209:6668664,6631385:pet_opaque:4209:6668914,6631618:pet_opaque:4209:6669784,6631619:pet_opaque:4209:6669814,6631901:pet_opaque:4209:6670110,6633543:pet_opaque:4209:6635308,6633544:pet_opaque:4209:6671848,6633545:pet_opaque:4209:6635367,6633546:pet_opaque:4209:6672292,6635651:pet_opaque:4209:6661077,6635653:pet_opaque:4209:6660897,6639123:pet_opaque:4209:6644422,6639124:pet_opaque:4209:6639706,6640066:pet_opaque:4209:6640660,6640928:pet_opaque:4209:6641595,6646682:pet_opaque:4209:6647441,6655088:pet_opaque:4209:6655823,6656505:pet_opaque:4209:6657172,'}), 'main_stat': {'nb_photos': 8000}}, 'hostname': (('jetson-2',),), 'impurety_average_per_hashtag': [(('emr', '2022-08', 0.03139712425437559),), (('jrm', '2022-08', 0.00838254816722681),), (('aluminium', '2022-08', 0.006832126052700646),), (('pet_fonce', '2022-08', 0.012910461966287217),), (('gm', '2022-08', 0.009116560536537937),)]} filepath : /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel/sla_mensuel_Romainville_Presse_2_mois_08_annee_2022.pdf Before plot_photos_and_unwanted_material_summary # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! None was removed should we ? donnée sous forme de texte was removed should we ? [ptf_id0,ptf_id1...] was removed should we ? Before organize_and_plot_unwanted_material_stats {'emr': {'barquette_opaque': ['barquette_opaque', '0.01%', 44], 'carton': ['carton', '0.78%', 1462], 'ela': ['ela', '0.01%', 3], 'etiquette': ['etiquette', '0.08%', 1049], 'film_plastique': ['film_plastique', '0.01%', 9], 'kraft': ['kraft', '0.11%', 1], 'metal': ['metal', '2.6%', 787], 'papier': ['papier', '96.86%', 148871], 'pehd': ['pehd', '0.0%', 2], 'pet_clair': ['pet_clair', '0.04%', 52], 'pet_fonce': ['pet_fonce', '0.2%', 165], 'pet_opaque': ['pet_opaque', '0.06%', 214]}, 'aluminium': {'carton': ['carton', '1.02%', 16], 'metal': ['metal', '98.97%', 54], 'papier': ['papier', '0.13%', 9]}, 'gm': {'carton': ['carton', '0.29%', 10], 'etiquette': ['etiquette', '0.08%', 16], 'metal': ['metal', '3.43%', 14], 'papier': ['papier', '99.03%', 2955], 'pet_clair': ['pet_clair', '0.04%', 1], 'pet_fonce': ['pet_fonce', '0.1%', 2]}, 'pet_fonce': {'carton': ['carton', '0.59%', 4], 'etiquette': ['etiquette', '0.11%', 5], 'papier': ['papier', '1.02%', 31], 'pet_fonce': ['pet_fonce', '98.33%', 21]}} before plot_matierial_repartition before organize_and_plot_coverage_data before organize_and_plot_impurety_average_data before organize_and_plot_quality_photo_data finish generating filepath : /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel/sla_mensuel_Romainville_Presse_2_mois_08_annee_2022.pdf hash: 9b473a9b7e6f69a2b2147971a7bf4221 for path: /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel/sla_mensuel_Romainville_Presse_2_mois_08_annee_2022.pdf voici le hostname : marlene hash: 9b473a9b7e6f69a2b2147971a7bf4221 for path: /home/admin/workarea/git/Velours/python/prod/memo/sla_mensuel/sla_mensuel_Romainville_Presse_2_mois_08_annee_2022.pdf ############################### TEST one_day ################################ TODO and TOTEST Removing /home/admin/workarea/git/Velours/python/prod/memo/sla_one_day nb_day : (3, 30) nb deleted : 3 VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3980 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3980 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3980 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_background': 'pet_clair', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4322 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4322 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4322 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3995 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3995 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3995 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier Inconsistency in dashboard_places dashboard_places from input : romainville_petite_presse dashboard_name_from_port found from datou STS from crontab from raspi : Romainville_Presse_1 We force the correct camera_place_name ! TODO : Insert select and so on SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_1"; SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3980 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3980 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3980 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_background': 'pet_clair', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4322 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4322 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4322 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3995 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3995 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3995 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier TODO TODO : Insert select and so on ***** analysis of device with port 20001 for dashboard romainville_petite_presse ***** **** analysis of day 2022/09/01/ **** VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! WARNING: No hour configured for port 20001, from 00:00 to 24:00 used 0:00:00 apple pause between two photos 10 Unable to retrieve photo time from log, find in sqlite. Find filename in sqlite. List of all images [] Info from logs total number of images : 0 coverage for 10 seconds : 0:00:00 (0.00%) coverage for 20 seconds : 0:00:00 (0.00%) max time between two photos : 0:00:00 results of pre-diagnostic : light ok 5716, not duplicated 5865, two criteria ok 5716, nb forced upload 0 end of day status of photos as found in sqllite Unable to find info for dashboard number 181 for day 2022-09-01 00:00:00 Info from dashboard total number of uploaded images : 0 number of useful images : 5716 number of finished photos : 0 (0.00% of two criteria ok) number of finished photos for older algorithm : 0 (0.00% of two criteria ok) number of started photos : 0 (0.00% of two criteria ok) **** analysis of day 2022/09/02/ **** VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! WARNING: No hour configured for port 20001, from 00:00 to 24:00 used 0:00:00 apple pause between two photos 10 Unable to retrieve photo time from log, find in sqlite. Find filename in sqlite. List of all images [] Info from logs total number of images : 0 coverage for 10 seconds : 0:00:00 (0.00%) coverage for 20 seconds : 0:00:00 (0.00%) max time between two photos : 0:00:00 results of pre-diagnostic : light ok 5716, not duplicated 5865, two criteria ok 5716, nb forced upload 0 end of day status of photos as found in sqllite Unable to find info for dashboard number 181 for day 2022-09-02 00:00:00 Info from dashboard total number of uploaded images : 0 number of useful images : 5716 number of finished photos : 0 (0.00% of two criteria ok) number of finished photos for older algorithm : 0 (0.00% of two criteria ok) number of started photos : 0 (0.00% of two criteria ok) **** analysis of day 2022/09/03/ **** VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! WARNING: No hour configured for port 20001, from 00:00 to 24:00 used 0:00:00 apple pause between two photos 10 Unable to retrieve photo time from log, find in sqlite. Find filename in sqlite. List of all images [] Info from logs total number of images : 0 coverage for 10 seconds : 0:00:00 (0.00%) coverage for 20 seconds : 0:00:00 (0.00%) max time between two photos : 0:00:00 results of pre-diagnostic : light ok 5716, not duplicated 5865, two criteria ok 5716, nb forced upload 0 end of day status of photos as found in sqllite Unable to find info for dashboard number 181 for day 2022-09-03 00:00:00 Info from dashboard total number of uploaded images : 0 number of useful images : 5716 number of finished photos : 0 (0.00% of two criteria ok) number of finished photos for older algorithm : 0 (0.00% of two criteria ok) number of started photos : 0 (0.00% of two criteria ok) **** analysis for all days **** Info from logs total number of images : 0 coverage for 10 seconds : 0:00:00 (0.00%) coverage for 20 seconds : 0:00:00 (0.00%) max time between two photos : 0:00:00 results of pre-diagnostic : light ok 17148, not duplicated 17595, two criteria ok 17148, nb forced upload 0 end of day status of photos as found in sqllite Info from dashboard total number of uploaded images : 0 number of useful images : 17148 number of finished photos : 0 (0.00% of two criteria ok) number of finished photos for older algorithm : 0 (0.00% of two criteria ok) number of started photos : 0 (0.00% of two criteria ok) cvs resume : date,nb_photos,% time,nb ok,uploaded,to upload, % uploaded, nb useful, % completed photos, last_update, remark 2022/09/01,0,0.00%,5716,0,0,0.00%,0,0.00%,0000/00/00, 2022/09/02,0,0.00%,5716,0,0,0.00%,0,0.00%,0000/00/00, 2022/09/03,0,0.00%,5716,0,0,0.00%,0,0.00%,0000/00/00, coverage for this period for every 10 second 2022/09/01/ 0.0 2022/09/02/ 0.0 2022/09/03/ 0.0 mean value for this period : 0.0 coverage for this period for every 20 second 2022/09/01/ 0.0 2022/09/02/ 0.0 2022/09/03/ 0.0 mean value for this period : 0.0 SQL: SELECT ms.id, ms.name, mst.name as type, ms.test_group, ms.test_name, ms.server, ms.version_code, ms.result_str, ms.result_bool, ms.result_float, ms.lien, ms.created_at FROM MTRAdmin.monitor_sys ms INNER JOIN MTRAdmin.monitor_sys_type mst on mst.id = ms.type WHERE mst.id='3' AND ms.name='sla_RUBBIA' AND ms.test_name like '%20001 romainville_petite_presse%'ORDER BY ms.id desc LIMIT 0, 1000000; ############################### TEST get_data ################################ TODO and TOTEST VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3980 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3980 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3980 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_background': 'pet_clair', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4322 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4322 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4322 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3995 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3995 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3995 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier TODO : Insert select and so on SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_1"; SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3980 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3980 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3980 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_background': 'pet_clair', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4322 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4322 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4322 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3995 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3995 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3995 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier nb_day : (0, 31) VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3980 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3980 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3980 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_background': 'pet_clair', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4322 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4322 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4322 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3995 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3995 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3995 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier TODO : Insert select and so on SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_1"; SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3980 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3980 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3980 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_background': 'pet_clair', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4322 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4322 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4322 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3995 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3995 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3995 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier place_id : 53 month : 08 mtr_id : 1038 dashboard_places : Romainville_Presse_1 date : 2022-08 year : 2022 raspi : 20064 select count(distinct mtr_photo_id) from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in (select id from MTRUser.mtr_portfolios where id in (select mtr_portfolio_id from MTRPhoto.dashboard_results where dashboard_run_id in(select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id in (select id from MTRPhoto.dashboard_places where name = 'Romainville_Presse_1' and date like '%2022-08%') and created_at like '%2022-08%'))); nb_day : (0, 31) after unwanted_material_data nb_day : (0, 31) SQL: SELECT ms.id, ms.name, mst.name as type, ms.test_group, ms.test_name, ms.server, ms.version_code, ms.result_str, ms.result_bool, ms.result_float, ms.lien, ms.created_at FROM MTRAdmin.monitor_sys ms INNER JOIN MTRAdmin.monitor_sys_type mst on mst.id = ms.type WHERE ms.test_name like '%20064%' AND ms.result_str like '%2022/08%'ORDER BY ms.id desc LIMIT 0, 1000000; No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}} No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}} No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}} No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}} No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}} No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}} No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}} No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}} No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 52510 seconds', 'coverage_times_pause': '0 days 52816 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 11774, 'nb_dedup_ok': 11774, 'nb_two_criteria_ok': 11774, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.9261186264308012}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}} No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58927 seconds', 'coverage_times_pause': '0 days 59361 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 3929, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 3929, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58785 seconds', 'coverage_times_pause': '0 days 59249 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 3918, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 3918, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58815 seconds', 'coverage_times_pause': '0 days 59311 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 3921, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 3921, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58800 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 3920, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 3920, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58875 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 3925, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 3925, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 58860 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 3924, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 3924, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58755 seconds', 'coverage_times_pause': '0 days 59354 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 3916, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 3916, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 58965 seconds', 'coverage_times_pause': '0 days 59198 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59025 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 59100 seconds', 'coverage_times_pause': '0 days 59297 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59309 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 59186 seconds', 'coverage_times_pause': '0 days 59365 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59111 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59308 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 37154 seconds', 'coverage_times_pause': '0 days 37372 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2477, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2477, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.6552849256600646}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59024 seconds', 'coverage_times_pause': '0 days 59304 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59115 seconds', 'coverage_times_pause': '0 days 59374 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59010 seconds', 'coverage_times_pause': '0 days 59242 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59366 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3932, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 59040 seconds', 'coverage_times_pause': '0 days 59363 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59369 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 59112 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3941, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3941, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 59130 seconds', 'coverage_times_pause': '0 days 59372 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 58663 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3911, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 58692 seconds', 'coverage_times_pause': '0 days 59285 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3914, 'nb_dedup_ok': 3914, 'nb_two_criteria_ok': 3914, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 52510 seconds', 'coverage_times_pause': '0 days 52816 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 11774, 'nb_dedup_ok': 11774, 'nb_two_criteria_ok': 11774, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.9261186264308012}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}} No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58927 seconds', 'coverage_times_pause': '0 days 59361 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 3929, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 3929, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58785 seconds', 'coverage_times_pause': '0 days 59249 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 3918, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 3918, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58815 seconds', 'coverage_times_pause': '0 days 59311 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 3921, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 3921, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58800 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 3920, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 3920, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58875 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 3925, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 3925, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 58860 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 3924, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 3924, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58755 seconds', 'coverage_times_pause': '0 days 59354 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 3916, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 3916, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 58965 seconds', 'coverage_times_pause': '0 days 59198 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59025 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 59100 seconds', 'coverage_times_pause': '0 days 59297 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59309 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 59186 seconds', 'coverage_times_pause': '0 days 59365 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59111 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59308 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 37154 seconds', 'coverage_times_pause': '0 days 37372 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2477, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2477, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.6552849256600646}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59024 seconds', 'coverage_times_pause': '0 days 59304 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59115 seconds', 'coverage_times_pause': '0 days 59374 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59010 seconds', 'coverage_times_pause': '0 days 59242 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59366 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3932, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 59040 seconds', 'coverage_times_pause': '0 days 59363 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59369 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 59112 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3941, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3941, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 59130 seconds', 'coverage_times_pause': '0 days 59372 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 58663 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3911, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 58692 seconds', 'coverage_times_pause': '0 days 59285 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3914, 'nb_dedup_ok': 3914, 'nb_two_criteria_ok': 3914, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 52510 seconds', 'coverage_times_pause': '0 days 52816 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 11774, 'nb_dedup_ok': 11774, 'nb_two_criteria_ok': 11774, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.9261186264308012}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}} No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58927 seconds', 'coverage_times_pause': '0 days 59361 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 3929, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 3929, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58785 seconds', 'coverage_times_pause': '0 days 59249 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 3918, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 3918, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 58815 seconds', 'coverage_times_pause': '0 days 59311 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 3921, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 3921, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 58800 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 3920, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 3920, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58875 seconds', 'coverage_times_pause': '0 days 59301 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 3925, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 3925, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 58860 seconds', 'coverage_times_pause': '0 days 59362 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 3924, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 3924, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 58755 seconds', 'coverage_times_pause': '0 days 59354 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 3916, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 3916, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 58965 seconds', 'coverage_times_pause': '0 days 59198 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59025 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 59100 seconds', 'coverage_times_pause': '0 days 59297 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59309 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 59186 seconds', 'coverage_times_pause': '0 days 59365 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59111 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59308 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 37154 seconds', 'coverage_times_pause': '0 days 37372 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2477, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2477, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.6552849256600646}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 59024 seconds', 'coverage_times_pause': '0 days 59304 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3935, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3935, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 59115 seconds', 'coverage_times_pause': '0 days 59374 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59010 seconds', 'coverage_times_pause': '0 days 59242 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 58993 seconds', 'coverage_times_pause': '0 days 59366 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3932, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 59040 seconds', 'coverage_times_pause': '0 days 59363 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 59085 seconds', 'coverage_times_pause': '0 days 59369 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 59112 seconds', 'coverage_times_pause': '0 days 59367 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3941, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3941, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 59130 seconds', 'coverage_times_pause': '0 days 59372 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 58663 seconds', 'coverage_times_pause': '0 days 59355 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3911, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 58692 seconds', 'coverage_times_pause': '0 days 59285 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3914, 'nb_dedup_ok': 3914, 'nb_two_criteria_ok': 3914, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 1.0}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 11754, 'max_time_between_images': '0 days 6397 seconds', 'coverage_pause': '0 days 26466 seconds', 'coverage_times_pause': '0 days 43831 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.46678071923667086}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/04', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4031}} No error ? {'log_dict': {'total_nb_images': 3929, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7858 seconds', 'coverage_times_pause': '0 days 15716 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.13859150955043298}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/03', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 3919, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7838 seconds', 'coverage_times_pause': '0 days 15676 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.13823876964320359}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3921, 'max_time_between_images': '0 days 80 seconds', 'coverage_pause': '0 days 7842 seconds', 'coverage_times_pause': '0 days 15684 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.13830931762464946}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3920, 'max_time_between_images': '0 days 81 seconds', 'coverage_pause': '0 days 7840 seconds', 'coverage_times_pause': '0 days 15680 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.13827404363392654}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 93 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3925, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7850 seconds', 'coverage_times_pause': '0 days 15700 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.13845041358754123}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 3924, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7848 seconds', 'coverage_times_pause': '0 days 15696 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.13841513959681828}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 3917, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7834 seconds', 'coverage_times_pause': '0 days 15668 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.1381682216617577}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3931, 'max_time_between_images': '0 days 121 seconds', 'coverage_pause': '0 days 7862 seconds', 'coverage_times_pause': '0 days 15724 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13866205753187888}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3940, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7880 seconds', 'coverage_times_pause': '0 days 15760 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.13897952344838532}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2477, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 4954 seconds', 'coverage_times_pause': '0 days 9908 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 0.08737367502072348}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 3935, 'max_time_between_images': '0 days 86 seconds', 'coverage_pause': '0 days 7870 seconds', 'coverage_times_pause': '0 days 15740 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.13880315349477063}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 79 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 3934, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7868 seconds', 'coverage_times_pause': '0 days 15736 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.1387678795040477}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/05', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 3939, 'max_time_between_images': '0 days 85 seconds', 'coverage_pause': '0 days 7878 seconds', 'coverage_times_pause': '0 days 15756 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 0.1389442494576624}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 3941, 'max_time_between_images': '0 days 88 seconds', 'coverage_pause': '0 days 7882 seconds', 'coverage_times_pause': '0 days 15764 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.13901479743910827}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 3911, 'max_time_between_images': '0 days 87 seconds', 'coverage_pause': '0 days 7822 seconds', 'coverage_times_pause': '0 days 15644 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 0.13795657771742006}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 3914, 'max_time_between_images': '0 days 89 seconds', 'coverage_pause': '0 days 7828 seconds', 'coverage_times_pause': '0 days 15656 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 0.1380623996895889}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/02', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4023}} No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/02', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/01', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 2984, 'max_time_between_images': '0 days 1044 seconds', 'coverage_pause': '0 days 3936 seconds', 'coverage_times_pause': '0 days 6834 seconds', 'nb_photos_decision': 11774, 'nb_gray_level_ok': 4617, 'nb_dedup_ok': 11773, 'nb_two_criteria_ok': 4616, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1498, 'end_of_day_photos_pink': 20, 'end_of_day_photos_dark': 5638, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 181, 'end_of_day_photos_uploaded': 4415, 'ratio_coverage': 0.06941921374274679}, 'dashboard_dict': {'nb_ptf_finished': 19, 'nb_images_finished': 1263, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 564, 'nb_selected_images': 1827, 'last_update': '2022/09/01', 'portfolio_id': 6911337, 'last_run_id': 479886, 'total_number_of_photos': 4023}} No error ? {'log_dict': {'total_nb_images': 3320, 'max_time_between_images': '0 days 466 seconds', 'coverage_pause': '0 days 3320 seconds', 'coverage_times_pause': '0 days 6640 seconds', 'nb_photos_decision': 3929, 'nb_gray_level_ok': 911, 'nb_dedup_ok': 3929, 'nb_two_criteria_ok': 911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1660, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1357, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 909, 'ratio_coverage': 0.05855482460008113}, 'dashboard_dict': {'nb_ptf_finished': 28, 'nb_images_finished': 390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 11, 'nb_images_started': 207, 'nb_selected_images': 597, 'last_update': '2022/09/01', 'portfolio_id': 6892921, 'last_run_id': 478927, 'total_number_of_photos': 909}} No error ? {'log_dict': {'total_nb_images': 4134, 'max_time_between_images': '0 days 315 seconds', 'coverage_pause': '0 days 4134 seconds', 'coverage_times_pause': '0 days 8268 seconds', 'nb_photos_decision': 3918, 'nb_gray_level_ok': 662, 'nb_dedup_ok': 3918, 'nb_two_criteria_ok': 662, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2067, 'end_of_day_photos_dark': 1189, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 662, 'ratio_coverage': 0.07291133882431788}, 'dashboard_dict': {'nb_ptf_finished': 26, 'nb_images_finished': 389, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 74, 'nb_selected_images': 463, 'last_update': '2022/08/30', 'portfolio_id': 6880974, 'last_run_id': 477478, 'total_number_of_photos': 646}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3626, 'max_time_between_images': '0 days 451 seconds', 'coverage_pause': '0 days 3626 seconds', 'coverage_times_pause': '0 days 7252 seconds', 'nb_photos_decision': 3921, 'nb_gray_level_ok': 1057, 'nb_dedup_ok': 3921, 'nb_two_criteria_ok': 1057, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1813, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 1050, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1056, 'ratio_coverage': 0.06395174518069102}, 'dashboard_dict': {'nb_ptf_finished': 2, 'nb_images_finished': 28, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 28, 'last_update': '2022/08/27', 'portfolio_id': 6872937, 'last_run_id': 475306, 'total_number_of_photos': 1056}} No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/29', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3736, 'max_time_between_images': '0 days 436 seconds', 'coverage_pause': '0 days 3736 seconds', 'coverage_times_pause': '0 days 7472 seconds', 'nb_photos_decision': 3933, 'nb_gray_level_ok': 1059, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 1059, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1868, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 1005, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 429, 'end_of_day_photos_uploaded': 623, 'ratio_coverage': 0.06589181467045274}, 'dashboard_dict': {'nb_ptf_finished': 16, 'nb_images_finished': 264, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 25, 'nb_images_started': 480, 'nb_selected_images': 744, 'last_update': '2022/08/29', 'portfolio_id': 6858102, 'last_run_id': 474755, 'total_number_of_photos': 1052}} No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472189, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/26', 'portfolio_id': 6830485, 'last_run_id': 470781, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469411, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 7064 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3931, 'nb_gray_level_ok': 3928, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3928, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 0, 'nb_images_started': 0, 'nb_selected_images': 0, 'last_update': '2022/08/20', 'portfolio_id': 6800521, 'last_run_id': 465870, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/21', 'portfolio_id': 6785173, 'last_run_id': 464885, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1227, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 11, 'nb_images_started': 275, 'nb_selected_images': 1603, 'last_update': '2022/08/21', 'portfolio_id': 6771154, 'last_run_id': 463490, 'total_number_of_photos': 4063}} No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/22', 'portfolio_id': 6756941, 'last_run_id': 462392, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 69, 'nb_images_finished': 1402, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 13, 'nb_images_started': 331, 'nb_selected_images': 1733, 'last_update': '2022/08/22', 'portfolio_id': 6738801, 'last_run_id': 461074, 'total_number_of_photos': 3942}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 1677 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3933, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 3526, 'end_of_day_photos_uploaded': 405, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 4, 'nb_images_started': 127, 'nb_selected_images': 127, 'last_update': '2022/08/22', 'portfolio_id': 6736624, 'last_run_id': 459828, 'total_number_of_photos': 3932}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2475}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1043, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 588, 'nb_selected_images': 1631, 'last_update': '2022/08/28', 'portfolio_id': 6680169, 'last_run_id': 455185, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 56, 'nb_images_finished': 1036, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 227, 'nb_selected_images': 1263, 'last_update': '2022/08/29', 'portfolio_id': 6662197, 'last_run_id': 468274, 'total_number_of_photos': 3932}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/21', 'portfolio_id': 6645254, 'last_run_id': 452689, 'total_number_of_photos': 3938}} No error ? {'log_dict': {'total_nb_images': 3933, 'max_time_between_images': '0 days 84 seconds', 'coverage_pause': '0 days 7866 seconds', 'coverage_times_pause': '0 days 15732 seconds', 'nb_photos_decision': 3932, 'nb_gray_level_ok': 3932, 'nb_dedup_ok': 3931, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3920, 'ratio_coverage': 0.13873260551332475}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 803, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 28, 'nb_images_started': 730, 'nb_selected_images': 1533, 'last_update': '2022/09/01', 'portfolio_id': 6633492, 'last_run_id': 451519, 'total_number_of_photos': 3925}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 3936, 'max_time_between_images': '0 days 82 seconds', 'coverage_pause': '0 days 7872 seconds', 'coverage_times_pause': '0 days 15744 seconds', 'nb_photos_decision': 3936, 'nb_gray_level_ok': 3936, 'nb_dedup_ok': 3936, 'nb_two_criteria_ok': 3936, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 10, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.13883842748549358}, 'dashboard_dict': {'nb_ptf_finished': 34, 'nb_images_finished': 568, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 49, 'nb_images_started': 940, 'nb_selected_images': 1508, 'last_update': '2022/08/24', 'portfolio_id': 6632462, 'last_run_id': 454424, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1181, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 10, 'nb_images_started': 258, 'nb_selected_images': 1439, 'last_update': '2022/08/17', 'portfolio_id': 6630409, 'last_run_id': 454399, 'total_number_of_photos': 3928}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3941, 'nb_gray_level_ok': 3940, 'nb_dedup_ok': 3941, 'nb_two_criteria_ok': 3940, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 40, 'nb_images_started': 797, 'nb_selected_images': 797, 'last_update': '2022/08/24', 'portfolio_id': 6629944, 'last_run_id': 454411, 'total_number_of_photos': 3979}} No error ? {'log_dict': {'total_nb_images': 3942, 'max_time_between_images': '0 days 83 seconds', 'coverage_pause': '0 days 7884 seconds', 'coverage_times_pause': '0 days 15768 seconds', 'nb_photos_decision': 3942, 'nb_gray_level_ok': 3942, 'nb_dedup_ok': 3942, 'nb_two_criteria_ok': 3942, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3935, 'ratio_coverage': 0.13905007142983122}, 'dashboard_dict': {'nb_ptf_finished': 23, 'nb_images_finished': 521, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 32, 'nb_images_started': 658, 'nb_selected_images': 1179, 'last_update': '2022/08/28', 'portfolio_id': 6625129, 'last_run_id': 454388, 'total_number_of_photos': 3940}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/11', 'portfolio_id': 6612466, 'last_run_id': 454376, 'total_number_of_photos': 3920}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449271, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 3668, 'max_time_between_images': '0 days 517 seconds', 'coverage_pause': '0 days 3668 seconds', 'coverage_times_pause': '0 days 7336 seconds', 'nb_photos_decision': 3920, 'nb_gray_level_ok': 1069, 'nb_dedup_ok': 3920, 'nb_two_criteria_ok': 1069, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1834, 'end_of_day_photos_pink': 2, 'end_of_day_photos_dark': 1016, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1067, 'ratio_coverage': 0.06469249898587277}, 'dashboard_dict': {'nb_ptf_finished': 31, 'nb_images_finished': 537, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 163, 'nb_selected_images': 700, 'last_update': '2022/08/27', 'portfolio_id': 6865211, 'last_run_id': 474338, 'total_number_of_photos': 1067}} No error ? {'log_dict': {'total_nb_images': 3798, 'max_time_between_images': '0 days 511 seconds', 'coverage_pause': '0 days 3798 seconds', 'coverage_times_pause': '0 days 7596 seconds', 'nb_photos_decision': 3925, 'nb_gray_level_ok': 1034, 'nb_dedup_ok': 3925, 'nb_two_criteria_ok': 1034, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1899, 'end_of_day_photos_pink': 1, 'end_of_day_photos_dark': 991, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 1033, 'ratio_coverage': 0.0669853083828639}, 'dashboard_dict': {'nb_ptf_finished': 35, 'nb_images_finished': 576, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 137, 'nb_selected_images': 713, 'last_update': '2022/08/25', 'portfolio_id': 6845170, 'last_run_id': 472123, 'total_number_of_photos': 1033}} No error ? {'log_dict': {'total_nb_images': 4136, 'max_time_between_images': '0 days 502 seconds', 'coverage_pause': '0 days 4116 seconds', 'coverage_times_pause': '0 days 8232 seconds', 'nb_photos_decision': 3924, 'nb_gray_level_ok': 905, 'nb_dedup_ok': 3924, 'nb_two_criteria_ok': 905, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2058, 'end_of_day_photos_pink': 7, 'end_of_day_photos_dark': 960, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 898, 'ratio_coverage': 0.07259387290781143}, 'dashboard_dict': {'nb_ptf_finished': 32, 'nb_images_finished': 494, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 156, 'nb_selected_images': 650, 'last_update': '2022/08/24', 'portfolio_id': 6830485, 'last_run_id': 470724, 'total_number_of_photos': 898}} No error ? {'log_dict': {'total_nb_images': 2568, 'max_time_between_images': '0 days 449 seconds', 'coverage_pause': '0 days 2568 seconds', 'coverage_times_pause': '0 days 5136 seconds', 'nb_photos_decision': 3916, 'nb_gray_level_ok': 2076, 'nb_dedup_ok': 3916, 'nb_two_criteria_ok': 2076, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1284, 'end_of_day_photos_pink': 5, 'end_of_day_photos_dark': 556, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 2071, 'ratio_coverage': 0.045291804088255526}, 'dashboard_dict': {'nb_ptf_finished': 45, 'nb_images_finished': 714, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 8, 'nb_images_started': 216, 'nb_selected_images': 930, 'last_update': '2022/08/23', 'portfolio_id': 6811061, 'last_run_id': 469344, 'total_number_of_photos': 2075}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 22258 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3935, 'nb_two_criteria_ok': 3931, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 5, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 55, 'nb_images_finished': 1095, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 225, 'nb_selected_images': 1320, 'last_update': '2022/08/20', 'portfolio_id': 6785173, 'last_run_id': 464819, 'total_number_of_photos': 3939}} No error ? {'log_dict': {'total_nb_images': 6, 'max_time_between_images': '0 days 13249 seconds', 'coverage_pause': '0 days 6 seconds', 'coverage_times_pause': '0 days 12 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3937, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 3, 'end_of_day_photos_pink': 6, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 893, 'end_of_day_photos_uploaded': 3037, 'ratio_coverage': 0.00010582197216882132}, 'dashboard_dict': {'nb_ptf_finished': 58, 'nb_images_finished': 1089, 'nb_ptf_finished_for_older': 1, 'nb_images_finished_for_older': 101, 'nb_ptf_started': 15, 'nb_images_started': 413, 'nb_selected_images': 1603, 'last_update': '2022/08/19', 'portfolio_id': 6771154, 'last_run_id': 463447, 'total_number_of_photos': 4062}} No error ? {'log_dict': {'total_nb_images': 10, 'max_time_between_images': '0 days 21811 seconds', 'coverage_pause': '0 days 10 seconds', 'coverage_times_pause': '0 days 20 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3934, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3934, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 3, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3930, 'ratio_coverage': 0.0001763699536147022}, 'dashboard_dict': {'nb_ptf_finished': 54, 'nb_images_finished': 1122, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 18, 'nb_images_started': 344, 'nb_selected_images': 1466, 'last_update': '2022/08/18', 'portfolio_id': 6756941, 'last_run_id': 462344, 'total_number_of_photos': 3930}} No error ? {'log_dict': {'total_nb_images': 3946, 'max_time_between_images': '0 days 90 seconds', 'coverage_pause': '0 days 7892 seconds', 'coverage_times_pause': '0 days 15784 seconds', 'nb_photos_decision': 3946, 'nb_gray_level_ok': 3946, 'nb_dedup_ok': 3946, 'nb_two_criteria_ok': 3946, 'nb_forced_upload': 0, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3941, 'ratio_coverage': 0.13919116739272297}, 'dashboard_dict': {'nb_ptf_finished': 68, 'nb_images_finished': 1390, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 343, 'nb_selected_images': 1733, 'last_update': '2022/08/17', 'portfolio_id': 6738801, 'last_run_id': 461015, 'total_number_of_photos': 3941}} Since we don't have condition on date we need to verify this lately ! No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3938, 'nb_two_criteria_ok': 3937, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 10, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 62, 'nb_images_finished': 1156, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 14, 'nb_images_started': 330, 'nb_selected_images': 1486, 'last_update': '2022/08/14', 'portfolio_id': 6714370, 'last_run_id': 457640, 'total_number_of_photos': 3926}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 3519 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 2477, 'nb_gray_level_ok': 2475, 'nb_dedup_ok': 2477, 'nb_two_criteria_ok': 2475, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 4, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_ok_for_neural_classification': 300, 'end_of_day_photos_uploaded': 2170, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 39, 'nb_images_finished': 747, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 7, 'nb_images_started': 169, 'nb_selected_images': 916, 'last_update': '2022/08/13', 'portfolio_id': 6703539, 'last_run_id': 456478, 'total_number_of_photos': 2474}} No error ? {'log_dict': {'total_nb_images': 8, 'max_time_between_images': '0 days 28998 seconds', 'coverage_pause': '0 days 8 seconds', 'coverage_times_pause': '0 days 16 seconds', 'nb_photos_decision': 3935, 'nb_gray_level_ok': 3931, 'nb_dedup_ok': 3934, 'nb_two_criteria_ok': 3930, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 4, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3923, 'ratio_coverage': 0.00014109596289176176}, 'dashboard_dict': {'nb_ptf_finished': 51, 'nb_images_finished': 864, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 33, 'nb_images_started': 767, 'nb_selected_images': 1631, 'last_update': '2022/08/12', 'portfolio_id': 6680169, 'last_run_id': 455143, 'total_number_of_photos': 3939}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3940, 'nb_gray_level_ok': 3939, 'nb_dedup_ok': 3940, 'nb_two_criteria_ok': 3939, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 7, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3931, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 856, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 17, 'nb_images_started': 407, 'nb_selected_images': 1263, 'last_update': '2022/08/11', 'portfolio_id': 6662197, 'last_run_id': 453977, 'total_number_of_photos': 3931}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3934, 'nb_gray_level_ok': 3933, 'nb_dedup_ok': 3933, 'nb_two_criteria_ok': 3932, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 6, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3925, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 48, 'nb_images_finished': 929, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 22, 'nb_images_started': 429, 'nb_selected_images': 1358, 'last_update': '2022/08/10', 'portfolio_id': 6645254, 'last_run_id': 452640, 'total_number_of_photos': 3937}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3939, 'nb_gray_level_ok': 3938, 'nb_dedup_ok': 3939, 'nb_two_criteria_ok': 3938, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 1, 'end_of_day_photos_pink': 11, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3926, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 0, 'nb_images_finished': 0, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 76, 'nb_images_started': 1439, 'nb_selected_images': 1439, 'last_update': '2022/08/06', 'portfolio_id': 6630409, 'last_run_id': 450661, 'total_number_of_photos': 3927}} No error ? {'log_dict': {'total_nb_images': 2, 'max_time_between_images': '0 days 2 seconds', 'coverage_pause': '0 days 2 seconds', 'coverage_times_pause': '0 days 4 seconds', 'nb_photos_decision': 3911, 'nb_gray_level_ok': 3910, 'nb_dedup_ok': 3911, 'nb_two_criteria_ok': 3910, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 5, 'end_of_day_photos_pink': 9, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3896, 'ratio_coverage': 3.527399072294044e-05}, 'dashboard_dict': {'nb_ptf_finished': 77, 'nb_images_finished': 1405, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 271, 'nb_selected_images': 1676, 'last_update': '2022/08/03', 'portfolio_id': 6612466, 'last_run_id': 450107, 'total_number_of_photos': 3919}} No error ? {'log_dict': {'total_nb_images': 4, 'max_time_between_images': '0 days 24740 seconds', 'coverage_pause': '0 days 4 seconds', 'coverage_times_pause': '0 days 8 seconds', 'nb_photos_decision': 3914, 'nb_gray_level_ok': 3912, 'nb_dedup_ok': 3913, 'nb_two_criteria_ok': 3911, 'nb_forced_upload': 0, 'end_of_day_photos_no_longer_on_disk': 2, 'end_of_day_photos_pink': 11, 'end_of_day_photos_duplicated': 1, 'end_of_day_photos_nothing_done': 1, 'end_of_day_photos_uploaded': 3899, 'ratio_coverage': 7.054798144588088e-05}, 'dashboard_dict': {'nb_ptf_finished': 66, 'nb_images_finished': 1291, 'nb_ptf_finished_for_older': 0, 'nb_images_finished_for_older': 0, 'nb_ptf_started': 9, 'nb_images_started': 226, 'nb_selected_images': 1517, 'last_update': '2022/08/02', 'portfolio_id': 6600066, 'last_run_id': 449257, 'total_number_of_photos': 3918}} Found day : 2022-08-31 00:00:00 Found day : 2022-08-30 00:00:00 Found day : 2022-08-29 00:00:00 Found day : 2022-08-27 00:00:00 Found day : 2022-08-26 00:00:00 Found day : 2022-08-25 00:00:00 Found day : 2022-08-24 00:00:00 Found day : 2022-08-23 00:00:00 Found day : 2022-08-22 00:00:00 Found day : 2022-08-20 00:00:00 Found day : 2022-08-19 00:00:00 Found day : 2022-08-18 00:00:00 Found day : 2022-08-17 00:00:00 Found day : 2022-08-16 00:00:00 Found day : 2022-08-15 00:00:00 Found day : 2022-08-13 00:00:00 Found day : 2022-08-12 00:00:00 Found day : 2022-08-11 00:00:00 Found day : 2022-08-10 00:00:00 Found day : 2022-08-09 00:00:00 Found day : 2022-08-08 00:00:00 Found day : 2022-08-06 00:00:00 Found day : 2022-08-05 00:00:00 Found day : 2022-08-04 00:00:00 Found day : 2022-08-03 00:00:00 Found day : 2022-08-02 00:00:00 Found day : 2022-08-01 00:00:00 after coverage_data SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut; SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______emr' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut; SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______jrm' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut; SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______aluminium' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut; SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______pet_fonce' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut; SELECT DATE(date_debut) as date, sum(qualite*nombre_balle)/sum(nombre_balle), count(distinct mtr_photo_id) FROM MTRPhoto.dashboard_results dr, MTRUser.mtr_portfolio_photos mpp, MTRPhoto.dashboard_entry_day ded where mpp.mtr_portfolio_id=dr.mtr_portfolio_id and dr.hashtag = '_______gm' and ded.dashboard_place_id = 53 and month(ded.date) = 08 and year(ded.date) = 2022 and dr.dashboard_run_id=ded.last_run_id and dr.qualite>=0 GROUP BY ded.date order by dr.date_debut; select avg(cps.score) as score, SUBSTRING_INDEX(SUBSTRING_INDEX(mp.name,'__', -1), '_', 1) as sbstr, SUBSTRING_INDEX(SUBSTRING_INDEX(mp.name,'_', -2), '_', 1) as sbstr2, SUBSTRING_INDEX(mp.name,'_', -1) as sbstr3 FROM MTRUser.mtr_portfolio_photos mpp, MTRUser.mtr_portfolios mp,MTRPhoto.class_photo_score cps,MTRBack.hashtags h,MTRPhoto.dashboard_results dr,MTRPhoto.dashboard_entry_day ded, MTRPhoto.dashboard_places dp WHERE mp.id=mpp.mtr_portfolio_id and cps.photo_id=mpp.mtr_photo_id and h.hashtag_id=cps.hashtag_id and dr.mtr_portfolio_id = mpp.mtr_portfolio_id and dr.dashboard_run_id = ded.last_run_id and ded.dashboard_place_id = dp.id and h.hashtag in ('blur', 'mean_blur', 'clear') and dp.id = 53 and mp.name like '%082022%' and cps.thcl = 1533 GROUP BY sbstr ; after number_of_batch date_start : 2022-08-01 : dt_date_just_month_year : 2022-08-01 00:00:00 : VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! after pl.get_datou_sts_from_crontab : verbose : True no sts found, try to find from database SELECT dri.id FROM MTRPhoto.dashboard_run_ids dri, MTRPhoto.dashboard_entry_day ded, MTRPhoto.dashboard_places dp WHERE dp.name= "Romainville_Presse_1" AND ded.dashboard_place_id=dp.id AND dri.dashboard_entry_day=ded.id AND dri.id=ded.last_run_id AND ded.date >= "2022-08-01" AND ded.date <= "2022-08-31" apple3 {'gm': {'mat': 'gm', 'pht': 4209, 'datou_carac_id': 3994, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier,background'}, 'emr': {'mat': 'emr', 'pht': 4207, 'datou_carac_id': 3993, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'carton,background'}, 'jrm': {'mat': 'jrm', 'pht': 3726, 'datou_carac_id': 3459, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'papier,background'}, 'ela': {'mat': 'ela', 'pht': 4203, 'datou_carac_id': 3991, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'ela,background'}, 'pet_clair': {'mat': 'pet_clair', 'pht': 3327, 'datou_carac_id': 3804, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_clair,bouchon,etiquette,barquette_avec_film,background'}, 'film_pedb': {'mat': 'film_pedb', 'pht': 4461, 'datou_carac_id': 4322, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'film_plastique'}, 'pehd_pp': {'mat': 'pehd_pp', 'pht': 4211, 'datou_carac_id': 3995, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pehd,background'}, 'pet_fonce': {'mat': 'pet_fonce', 'pht': 4200, 'datou_carac_id': 4153, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'pet_fonce,background'}, 'aluminium': {'mat': 'aluminium', 'pht': 4205, 'datou_carac_id': 3992, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'metal,background'}, 'refus': {'mat': 'refus', 'pht': 3594, 'datou_carac_id': 3318, 'unwanted_material': [], 'hashtag_majoritaire_from_carac': 'refus,background'}} SELECT h.hashtag as unwanted_material, substr(dr.hashtag,8) as main_material, ptp.type as pht_type, sum(pcr.value*dr.nombre_balle)/sum(dr.nombre_balle) as ratio, count(distinct mpp.mtr_photo_id) as nb_photo, group_concat(distinct ptp.mtr_portfolio_id_2) as list_port_cont, group_concat(distinct concat(cast(ptp.mtr_portfolio_id_1 as char), ":", cast(ptp.mtr_portfolio_id_2 as char))) as assoc_port, group_concat(distinct concat(cast(ptp.mtr_portfolio_id_1 as char), ":", h.hashtag, ":", cast(ptp.type as char), ":", cast(ptp.mtr_portfolio_id_2 as char))) as assoc_mat FROM MTRPhoto.dashboard_results dr, MTRPhoto.mtr_port_to_port_ids ptp, MTRUser.mtr_portfolio_photos mpp, MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h WHERE dr.dashboard_run_id IN (449271,454376,454388,454411,454399,454424,451519,452689,468274,455185,456478,457640,459828,461074,462392,463490,464885,465870,469411,470781,897152,474755,474338,475306,477478,478927,479886) AND dr.mtr_portfolio_id=ptp.mtr_portfolio_id_1 AND dr.qualite >= 0 AND mpp.mtr_portfolio_id=ptp.mtr_portfolio_id_2 AND pcr.portfolio_id=ptp.mtr_portfolio_id_1 AND h.hashtag_id = pcr.hashtag_id AND ptp.type = pcr.hashtag_type AND mpp.hide_status = 0 AND ptp.hashtag_id=h.hashtag_id AND ptp.type IN (4209,4207,3726,4203,3327,4461,4211,4200,4205,3594) group by h.hashtag, dr.hashtag, ptp.type; VR TODO TO BETTER PARSE ! ({'unwanted_material': 'autre', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.025985557831013643, 'nb_photo': 16651, 'list_port_cont': '6601211,6601249,6601319,6601376,6601558,6601691,6601783,6601837,6602312,6603611,6603837,6603984,6604939,6606283,6606361,6607127,6607396,6607889,6608318,6608592,6608684,6608960,6609911,6610060,6610278,6610907,6611078,6613725,6614148,6615899,6616064,6616199,6616975,6617461,6617846,6618177,6618947,6620505,6620992,6621119,6621146,6621174,6621388,6621447,6621537,6622105,6622162,6622311,6622378,6622426,6622514,6622647,6622758,6626372,6626974,6626997,6627200,6627837,6628024,6628557,6628624,6629354,6629396,6635806,6635864,6635897,6635947,6635974,6636029,6636109,6636139,6636295,6636316,6636423,6636599,6636674,6636727,6636791,6637048,6637689,6637708,6637756,6637854,6637954,6637974,6638095,6638421,6638597,6638696,6638833,6638947,6638968,6639187,6639299,6639353,6639652,6639761,6639844,6639904,6639965,6640123,6640725,6640745,6640776,6640959,6641209,6641306,6641333,6641484,6641521,6641655,6641820,6641954,6642026,6642079,6642285,6643237,6643372,6643479,6643603,6643631,6643664,6643695,6643718,6643895,6644078,6644458,6644663,', 'assoc_port': '6600535:6601249,6600537:6601691,6600543:6601211,6600545:6601376,6600547:6601558,6600550:6601783,6600553:6601319,6601140:6602312,6601199:6601837,6602727:6603837,6602729:6603984,6602732:6603611,6604400:6604939,6604702:6606361,6605500:6606283,6605502:6607127,6606682:6608318,6606685:6607889,6606687:6607396,6607836:6608592,6607838:6608684,6608144:6608960,6609197:6610060,6609198:6609911,6609963:6610278,6610497:6611078,6610499:6610907,6612953:6613725,6613333:6614148,6614966:6616199,6614968:6616064,6615360:6615899,6616171:6616975,6616960:6618177,6616966:6617461,6616967:6617846,6618310:6618947,6620036:6620505,6620039:6621388,6620042:6620992,6620404:6621146,6620441:6621447,6620445:6621174,6620446:6621537,6620449:6621119,6621639:6622647,6621642:6622758,6621645:6622514,6621650:6622378,6621652:6622426,6621655:6622162,6621656:6622105,6621661:6622311,6625901:6626372,6626270:6626974,6626272:6626997,6626275:6627200,6627097:6627837,6627099:6628024,6627946:6628557,6627948:6628624,6628988:6629354,6628991:6629396,6630847:6635947,', 'assoc_mat': '6600535:autre:3327:6601249,6600537:autre:3327:6601691,6600543:autre:3327:6601211,6600545:autre:3327:6601376,6600547:autre:3327:6601558,6600550:autre:3327:6601783,6600553:autre:3327:6601319,6601140:autre:3327:6602312,6601199:autre:3327:6601837,6602727:autre:3327:6603837,6602729:autre:3327:6603984,6602732:autre:3327:6603611,6604400:autre:3327:6604939,6604702:autre:3327:6606361,6605500:autre:3327:6606283,6605502:autre:3327:6607127,6606682:autre:3327:6608318,6606685:autre:3327:6607889,6606687:autre:3327:6607396,6607836:autre:3327:6608592,6607838:autre:3327:6608684,6608144:autre:3327:6608960,6609197:autre:3327:6610060,6609198:autre:3327:6609911,6609963:autre:3327:6610278,6610497:autre:3327:6611078,6610499:autre:3327:6610907,6612953:autre:3327:6613725,6613333:autre:3327:6614148,6614966:autre:3327:6616199,6614968:autre:3327:6616064,6615360:autre:3327:6615899,6616171:autre:3327:6616975,6616960:autre:3327:6618177,6616966:autre:3327:6617461,6616967:autre:3327:6617846,6618310:autre:3327:6618947,6620036:autre:3327:662050'}, {'unwanted_material': 'barquette_avec_film', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.0050634087913797535, 'nb_photo': 1051, 'list_port_cont': '6601216,6601255,6601316,6601366,6601556,6601694,6601795,6601849,6602314,6603610,6603845,6603981,6604938,6606272,6606380,6607136,6607388,6607885,6608324,6608593,6608675,6608967,6609910,6610048,6610273,6611082,6613721,6614147,6615898,6616193,6616972,6617468,6618176,6618950,6620509,6620988,6621144,6621167,6621391,6621449,6622102,6622163,6622316,6622379,6622436,6622519,6622752,6626364,6626973,6627004,6627197,6627840,6628023,6628564,6628623,6629352,6629394,6635811,6635862,6635901,6635945,6635972,6636036,6636112,6636138,6636318,6636424,6636724,6637044,6637685,6637716,6637764,6637852,6637945,6637984,6638094,6638596,6638700,6638835,6638944,6638974,6639298,6639361,6639645,6639764,6639852,6639896,6639968,6640121,6640722,6640783,6640963,6641211,6641294,6641332,6641486,6641520,6641652,6641944,6642022,6642080,6642290,6643373,6643478,6643608,6643683,6643716,6643902,6644079,6644456,6644652,6645162,6645304,6645766,6647408,6648376,6648805,6649738,6651383,6651686,6654487,6654608,6655045,6655877,6656213,6656668,6659085,6660221,', 'assoc_port': '6600535:6601255,6600537:6601694,6600543:6601216,6600545:6601366,6600547:6601556,6600550:6601795,6600553:6601316,6601140:6602314,6601199:6601849,6602727:6603845,6602729:6603981,6602732:6603610,6604400:6604938,6604702:6606380,6605500:6606272,6605502:6607136,6606682:6608324,6606685:6607885,6606687:6607388,6607836:6608593,6607838:6608675,6608144:6608967,6609197:6610048,6609198:6609910,6609963:6610273,6610497:6611082,6612953:6613721,6613333:6614147,6614966:6616193,6615360:6615898,6616171:6616972,6616960:6618176,6616966:6617468,6618310:6618950,6620036:6620509,6620039:6621391,6620042:6620988,6620404:6621144,6620441:6621449,6620445:6621167,6621642:6622752,6621645:6622519,6621650:6622379,6621652:6622436,6621655:6622163,6621656:6622102,6621661:6622316,6625901:6626364,6626270:6626973,6626272:6627004,6626275:6627197,6627097:6627840,6627099:6628023,6627946:6628564,6627948:6628623,6628988:6629352,6628991:6629394,6630847:6635945,6630849:6636036,6630851:6635972,6630854:6637685,6630934:6637764,6630936:6637716,6630938:6638094,', 'assoc_mat': '6600535:barquette_avec_film:3327:6601255,6600537:barquette_avec_film:3327:6601694,6600543:barquette_avec_film:3327:6601216,6600545:barquette_avec_film:3327:6601366,6600547:barquette_avec_film:3327:6601556,6600550:barquette_avec_film:3327:6601795,6600553:barquette_avec_film:3327:6601316,6601140:barquette_avec_film:3327:6602314,6601199:barquette_avec_film:3327:6601849,6602727:barquette_avec_film:3327:6603845,6602729:barquette_avec_film:3327:6603981,6602732:barquette_avec_film:3327:6603610,6604400:barquette_avec_film:3327:6604938,6604702:barquette_avec_film:3327:6606380,6605500:barquette_avec_film:3327:6606272,6605502:barquette_avec_film:3327:6607136,6606682:barquette_avec_film:3327:6608324,6606685:barquette_avec_film:3327:6607885,6606687:barquette_avec_film:3327:6607388,6607836:barquette_avec_film:3327:6608593,6607838:barquette_avec_film:3327:6608675,6608144:barquette_avec_film:3327:6608967,6609197:barquette_avec_film:3327:6610048,6609198:barquette_avec_film:3327:6609910,6609963:barquette_avec_film:3327:6610273'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0006065490165070008, 'nb_photo': 9, 'list_port_cont': '6603426,6627334,6634749,6723417,6780640,6834099,6852168', 'assoc_port': '6602731:6603426,6626721:6627334,6630937:6634749,6671808:6834099,6722813:6723417,6780026:6780640,6851650:6852168', 'assoc_mat': '6602731:barquette_opaque:4203:6603426,6626721:barquette_opaque:4203:6627334,6630937:barquette_opaque:4203:6634749,6671808:barquette_opaque:4203:6834099,6722813:barquette_opaque:4203:6723417,6780026:barquette_opaque:4203:6780640,6851650:barquette_opaque:4203:6852168'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0005293780694215035, 'nb_photo': 1, 'list_port_cont': '6692906', 'assoc_port': '6691778:6692906', 'assoc_mat': '6691778:barquette_opaque:4209:6692906'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.008662761320534096, 'nb_photo': 659, 'list_port_cont': '6600860,6600903,6601023,6601433,6602273,6602593,6603403,6606082,6607689,6608069,6608289,6609462,6610653,6614532,6615427,6615792,6616525,6618779,6618922,6620328,6621053,6621664,6621960,6622002,6622135,6622199,6624057,6626607,6627268,6628481,6629183,6629252,6634382,6635139,6638289,6638441,6640989,6642058,6642706,6650155,6650276,6650959,6658495,6664041,6668175,6669610,6672035,6674014,6674549,6674630,6674772,6675081,6675105,6675139,6675482,6676524,6677132,6677217,6678042,6678216,6678577,6678660,6678688,6678769,6678960,6678988,6681252,6687138,6692292,6693194,6693681,6693891,6694045,6694217,6694420,6698421,6698805,6699377,6699427,6700669,6707231,6711232,6711409,6711495,6712142,6713437,6713607,6713753,6714397,6716562,6717498,6717555,6718025,6719023,6719736,6720660,6720723,6721143,6721925,6722677,6723045,6723102,6724740,6724912,6724973,6725830,6729866,6730263,6730718,6731855,6732324,6732440,6735375,6738136,6740197,6740602,6741090,6741939,6743256,6743597,6743876,6745278,6747827,6751581,6751678,6751683,6752336,6754140,', 'assoc_port': 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'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'}) select count(distinct mtr_photo_id) from MTRUser.mtr_portfolio_photos where mtr_portfolio_id in (select mtr_portfolio_id from MTRPhoto.dashboard_results where dashboard_run_id in(449271,454376,454388,454411,454399,454424,451519,452689,468274,455185,456478,457640,459828,461074,462392,463490,464885,465870,469411,470781,897152,474755,474338,475306,477478,478927,479886)); after get_hostname_from_raspi hasthag : emr hasthag that could be used but not yet : _______carton,background SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______emr' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038) and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month; hasthag : jrm hasthag that could be used but not yet : _______papier,background SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______jrm' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038) and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month; hasthag : aluminium hasthag that could be used but not yet : _______metal,background SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______aluminium' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038) and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month; hasthag : pet_fonce hasthag that could be used but not yet : _______pet_fonce,background SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______pet_fonce' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038) and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month; hasthag : gm hasthag that could be used but not yet : _______papier,background SELECT substr(hashtag,8), substr(date_debut,1,7) as month, (sum(qualite*nombre_balle)/sum(nombre_balle)) FROM MTRPhoto.dashboard_results WHERE hashtag = '_______gm' and mtr_portfolio_id in (select id FROM MTRUser.mtr_portfolios where mtr_user_id=1038) and qualite >=0 and dashboard_run_id in (select last_run_id from MTRPhoto.dashboard_entry_day where dashboard_place_id=53 and date >='2022-08-01' and date <= '2022-08-31') GROUP BY month order by month; after impurety_average_per_hashtag {'number_of_analysed_photos': ((29394,),), 'unwanted_material_monthly_percentage': ((0.04166288885557681,),), 'material_repartition': (('pet_clair', 11530), ('pehd_pp', 8058), ('pet_fonce', 2026), ('emr', 805), ('ela', 779), ('gm', 319), ('pcnc', 86)), 'material_dict': {'pet_clair': 11530, 'pehd_pp': 8058, 'pet_fonce': 2026, 'autres': 1989}, 'coverage_data': (('2022/08/31/', 0.691297), ('2022/08/30/', 0.653266), ('2022/08/29/', 0.840173), ('2022/08/27/', 1.0), ('2022/08/26/', 0.767143), ('2022/08/25/', 0.354839), ('2022/08/24/', 0.807854), ('2022/08/23/', 0.76), ('2022/08/22/', 0.767742), ('2022/08/20/', 0.138662), ('2022/08/19/', 0.829545), ('2022/08/18/', 0.76544), ('2022/08/17/', 0.765348), ('2022/08/16/', 0.809002), ('2022/08/15/', 0.139015), ('2022/08/13/', 0.777927), ('2022/08/12/', 0.815502), ('2022/08/11/', 0.639485), ('2022/08/10/', 0.820269), ('2022/08/09/', 0.684094), ('2022/08/08/', 0.52381), ('2022/08/06/', 0.376658), ('2022/08/05/', 0.820709), ('2022/08/04/', 0.139015), ('2022/08/03/', 0.4419), ('2022/08/02/', 0.838305), ('2022/08/01/', 0.851022)), 'impurety_average_data': ((datetime.date(2022, 8, 2), 0.014282331762157728, 103), (datetime.date(2022, 8, 3), 0.03494206677880239, 211), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.04557840319999026, 54), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.02268268592206632, 320), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.029592761588569258, 277), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.02985658365132344, 351), (datetime.date(2022, 8, 24), 0.02890717923269598, 369), (datetime.date(2022, 8, 25), 0.02964405365672207, 385), (datetime.date(2022, 8, 26), 0.027188360813364603, 209), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.023942954543620824, 233), (datetime.date(2022, 8, 30), 0.03176500481166622, 362), (datetime.date(2022, 8, 31), 0.024400799858355637, 340)), 'impurety_average_data_per_hashtag': {'emr': ((datetime.date(2022, 8, 2), 0.014497225753743103, 90), (datetime.date(2022, 8, 3), 0.035407726190541, 201), (datetime.date(2022, 8, 5), 0.029420780762543012, 438), (datetime.date(2022, 8, 6), 0.051389769677544335, 43), (datetime.date(2022, 8, 8), 0.022841014228638157, 375), (datetime.date(2022, 8, 9), 0.022808792662868328, 304), (datetime.date(2022, 8, 10), 0.021294981158255618, 407), (datetime.date(2022, 8, 11), 0.022496316372650236, 115), (datetime.date(2022, 8, 12), 0.037292023387041164, 482), (datetime.date(2022, 8, 13), 0.030188267365227943, 442), (datetime.date(2022, 8, 16), 0.06353963932551064, 211), (datetime.date(2022, 8, 17), 0.055518220907447555, 133), (datetime.date(2022, 8, 18), 0.028245770796200272, 128), (datetime.date(2022, 8, 19), 0.03144342737311807, 238), (datetime.date(2022, 8, 22), 0.010668998327936066, 36), (datetime.date(2022, 8, 23), 0.030080632780942033, 330), (datetime.date(2022, 8, 24), 0.029230789634089597, 345), (datetime.date(2022, 8, 25), 0.029901630015503007, 357), (datetime.date(2022, 8, 26), 0.028097448563616227, 175), (datetime.date(2022, 8, 29), 0.03005524006484819, 165), (datetime.date(2022, 8, 30), 0.03263495327830263, 307), (datetime.date(2022, 8, 31), 0.02525588399363416, 301)), 'jrm': ((datetime.date(2022, 8, 2), 0.012085072487249132, 13), (datetime.date(2022, 8, 19), 0.010114825333022708, 10), (datetime.date(2022, 8, 23), 0.024498907798673017, 5), (datetime.date(2022, 8, 26), 0.0052974707656706635, 12), (datetime.date(2022, 8, 29), 0.0180872193641313, 5), (datetime.date(2022, 8, 30), 0.012309361035885383, 18), (datetime.date(2022, 8, 31), 0.0, 30)), 'aluminium': ((datetime.date(2022, 8, 3), 0.0029466085982426723, 10), (datetime.date(2022, 8, 6), 0.0, 11), (datetime.date(2022, 8, 28), 0.014876381935804891, 33), (datetime.date(2022, 8, 29), 0.0027249051959917212, 35), (datetime.date(2022, 8, 30), 0.0, 5)), 'pet_fonce': ((datetime.date(2022, 8, 9), 0.01691330253037371, 16), (datetime.date(2022, 8, 19), 0.01514668242834379, 6), (datetime.date(2022, 8, 29), 0.0, 6)), 'gm': ((datetime.date(2022, 8, 19), 0.0036688743500458555, 23), (datetime.date(2022, 8, 23), 2.7541150063779214e-07, 16), (datetime.date(2022, 8, 24), 0.009998135847154843, 24), (datetime.date(2022, 8, 25), 0.007110951820118182, 28), (datetime.date(2022, 8, 26), 0.0026635914561474365, 22), (datetime.date(2022, 8, 29), 0.005845156606103965, 22), (datetime.date(2022, 8, 30), 0.01774597693816732, 32), (datetime.date(2022, 8, 31), 0.04037847154938461, 9))}, 'quality_array': [['7.002742885641196', '01082022'], ['7.276538764582762', '02082022'], ['7.489191991610414', '03082022'], ['7.1515808570282635', '04082022'], ['7.481548146738859', '05082022'], ['7.304119764213931', '06082022'], ['7.180322525692267', '08082022'], ['6.878113539107664', '09082022'], ['7.100998473868195', '10082022'], ['7.303181417036363', '11082022'], ['6.929539513848952', '12082022'], ['6.949887273916412', '13082022'], ['6.952864344290567', '15082022'], ['6.946439599449299', '16082022'], ['8.200164971876198', '17082022'], ['7.414826551741067', '18082022'], ['7.567049552876916', '19082022'], ['8.275572615180698', '22082022'], ['8.683058890962057', '23082022'], ['9.447587725285345', '24082022'], ['9.907266828738836', '25082022'], ['9.398694081509628', '26082022'], ['3.699836545530341', '28082022'], ['9.278913980706943', '29082022'], ['9.808918378829057', '30082022'], ['12.679394134058633', '31082022']], 'number_of_batch': ((325,),), 'datou_id_sts': 3980, 'map_hashtag_number_mat': {'hash_to_mat_nb': ({'unwanted_material': 'autre', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.025985557831013643, 'nb_photo': 16651, 'list_port_cont': '6601211,6601249,6601319,6601376,6601558,6601691,6601783,6601837,6602312,6603611,6603837,6603984,6604939,6606283,6606361,6607127,6607396,6607889,6608318,6608592,6608684,6608960,6609911,6610060,6610278,6610907,6611078,6613725,6614148,6615899,6616064,6616199,6616975,6617461,6617846,6618177,6618947,6620505,6620992,6621119,6621146,6621174,6621388,6621447,6621537,6622105,6622162,6622311,6622378,6622426,6622514,6622647,6622758,6626372,6626974,6626997,6627200,6627837,6628024,6628557,6628624,6629354,6629396,6635806,6635864,6635897,6635947,6635974,6636029,6636109,6636139,6636295,6636316,6636423,6636599,6636674,6636727,6636791,6637048,6637689,6637708,6637756,6637854,6637954,6637974,6638095,6638421,6638597,6638696,6638833,6638947,6638968,6639187,6639299,6639353,6639652,6639761,6639844,6639904,6639965,6640123,6640725,6640745,6640776,6640959,6641209,6641306,6641333,6641484,6641521,6641655,6641820,6641954,6642026,6642079,6642285,6643237,6643372,6643479,6643603,6643631,6643664,6643695,6643718,6643895,6644078,6644458,6644663,', 'assoc_port': '6600535:6601249,6600537:6601691,6600543:6601211,6600545:6601376,6600547:6601558,6600550:6601783,6600553:6601319,6601140:6602312,6601199:6601837,6602727:6603837,6602729:6603984,6602732:6603611,6604400:6604939,6604702:6606361,6605500:6606283,6605502:6607127,6606682:6608318,6606685:6607889,6606687:6607396,6607836:6608592,6607838:6608684,6608144:6608960,6609197:6610060,6609198:6609911,6609963:6610278,6610497:6611078,6610499:6610907,6612953:6613725,6613333:6614148,6614966:6616199,6614968:6616064,6615360:6615899,6616171:6616975,6616960:6618177,6616966:6617461,6616967:6617846,6618310:6618947,6620036:6620505,6620039:6621388,6620042:6620992,6620404:6621146,6620441:6621447,6620445:6621174,6620446:6621537,6620449:6621119,6621639:6622647,6621642:6622758,6621645:6622514,6621650:6622378,6621652:6622426,6621655:6622162,6621656:6622105,6621661:6622311,6625901:6626372,6626270:6626974,6626272:6626997,6626275:6627200,6627097:6627837,6627099:6628024,6627946:6628557,6627948:6628624,6628988:6629354,6628991:6629396,6630847:6635947,', 'assoc_mat': '6600535:autre:3327:6601249,6600537:autre:3327:6601691,6600543:autre:3327:6601211,6600545:autre:3327:6601376,6600547:autre:3327:6601558,6600550:autre:3327:6601783,6600553:autre:3327:6601319,6601140:autre:3327:6602312,6601199:autre:3327:6601837,6602727:autre:3327:6603837,6602729:autre:3327:6603984,6602732:autre:3327:6603611,6604400:autre:3327:6604939,6604702:autre:3327:6606361,6605500:autre:3327:6606283,6605502:autre:3327:6607127,6606682:autre:3327:6608318,6606685:autre:3327:6607889,6606687:autre:3327:6607396,6607836:autre:3327:6608592,6607838:autre:3327:6608684,6608144:autre:3327:6608960,6609197:autre:3327:6610060,6609198:autre:3327:6609911,6609963:autre:3327:6610278,6610497:autre:3327:6611078,6610499:autre:3327:6610907,6612953:autre:3327:6613725,6613333:autre:3327:6614148,6614966:autre:3327:6616199,6614968:autre:3327:6616064,6615360:autre:3327:6615899,6616171:autre:3327:6616975,6616960:autre:3327:6618177,6616966:autre:3327:6617461,6616967:autre:3327:6617846,6618310:autre:3327:6618947,6620036:autre:3327:662050'}, {'unwanted_material': 'barquette_avec_film', 'main_material': 'pet_clair', 'pht_type': 3327, 'ratio': 0.0050634087913797535, 'nb_photo': 1051, 'list_port_cont': '6601216,6601255,6601316,6601366,6601556,6601694,6601795,6601849,6602314,6603610,6603845,6603981,6604938,6606272,6606380,6607136,6607388,6607885,6608324,6608593,6608675,6608967,6609910,6610048,6610273,6611082,6613721,6614147,6615898,6616193,6616972,6617468,6618176,6618950,6620509,6620988,6621144,6621167,6621391,6621449,6622102,6622163,6622316,6622379,6622436,6622519,6622752,6626364,6626973,6627004,6627197,6627840,6628023,6628564,6628623,6629352,6629394,6635811,6635862,6635901,6635945,6635972,6636036,6636112,6636138,6636318,6636424,6636724,6637044,6637685,6637716,6637764,6637852,6637945,6637984,6638094,6638596,6638700,6638835,6638944,6638974,6639298,6639361,6639645,6639764,6639852,6639896,6639968,6640121,6640722,6640783,6640963,6641211,6641294,6641332,6641486,6641520,6641652,6641944,6642022,6642080,6642290,6643373,6643478,6643608,6643683,6643716,6643902,6644079,6644456,6644652,6645162,6645304,6645766,6647408,6648376,6648805,6649738,6651383,6651686,6654487,6654608,6655045,6655877,6656213,6656668,6659085,6660221,', 'assoc_port': '6600535:6601255,6600537:6601694,6600543:6601216,6600545:6601366,6600547:6601556,6600550:6601795,6600553:6601316,6601140:6602314,6601199:6601849,6602727:6603845,6602729:6603981,6602732:6603610,6604400:6604938,6604702:6606380,6605500:6606272,6605502:6607136,6606682:6608324,6606685:6607885,6606687:6607388,6607836:6608593,6607838:6608675,6608144:6608967,6609197:6610048,6609198:6609910,6609963:6610273,6610497:6611082,6612953:6613721,6613333:6614147,6614966:6616193,6615360:6615898,6616171:6616972,6616960:6618176,6616966:6617468,6618310:6618950,6620036:6620509,6620039:6621391,6620042:6620988,6620404:6621144,6620441:6621449,6620445:6621167,6621642:6622752,6621645:6622519,6621650:6622379,6621652:6622436,6621655:6622163,6621656:6622102,6621661:6622316,6625901:6626364,6626270:6626973,6626272:6627004,6626275:6627197,6627097:6627840,6627099:6628023,6627946:6628564,6627948:6628623,6628988:6629352,6628991:6629394,6630847:6635945,6630849:6636036,6630851:6635972,6630854:6637685,6630934:6637764,6630936:6637716,6630938:6638094,', 'assoc_mat': '6600535:barquette_avec_film:3327:6601255,6600537:barquette_avec_film:3327:6601694,6600543:barquette_avec_film:3327:6601216,6600545:barquette_avec_film:3327:6601366,6600547:barquette_avec_film:3327:6601556,6600550:barquette_avec_film:3327:6601795,6600553:barquette_avec_film:3327:6601316,6601140:barquette_avec_film:3327:6602314,6601199:barquette_avec_film:3327:6601849,6602727:barquette_avec_film:3327:6603845,6602729:barquette_avec_film:3327:6603981,6602732:barquette_avec_film:3327:6603610,6604400:barquette_avec_film:3327:6604938,6604702:barquette_avec_film:3327:6606380,6605500:barquette_avec_film:3327:6606272,6605502:barquette_avec_film:3327:6607136,6606682:barquette_avec_film:3327:6608324,6606685:barquette_avec_film:3327:6607885,6606687:barquette_avec_film:3327:6607388,6607836:barquette_avec_film:3327:6608593,6607838:barquette_avec_film:3327:6608675,6608144:barquette_avec_film:3327:6608967,6609197:barquette_avec_film:3327:6610048,6609198:barquette_avec_film:3327:6609910,6609963:barquette_avec_film:3327:6610273'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'ela', 'pht_type': 4203, 'ratio': 0.0006065490165070008, 'nb_photo': 9, 'list_port_cont': '6603426,6627334,6634749,6723417,6780640,6834099,6852168', 'assoc_port': '6602731:6603426,6626721:6627334,6630937:6634749,6671808:6834099,6722813:6723417,6780026:6780640,6851650:6852168', 'assoc_mat': '6602731:barquette_opaque:4203:6603426,6626721:barquette_opaque:4203:6627334,6630937:barquette_opaque:4203:6634749,6671808:barquette_opaque:4203:6834099,6722813:barquette_opaque:4203:6723417,6780026:barquette_opaque:4203:6780640,6851650:barquette_opaque:4203:6852168'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'emr', 'pht_type': 4209, 'ratio': 0.0005293780694215035, 'nb_photo': 1, 'list_port_cont': '6692906', 'assoc_port': '6691778:6692906', 'assoc_mat': '6691778:barquette_opaque:4209:6692906'}, {'unwanted_material': 'barquette_opaque', 'main_material': 'pehd_pp', 'pht_type': 4211, 'ratio': 0.008662761320534096, 'nb_photo': 659, 'list_port_cont': 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'10844012:textiles_sanitaires:4211:10845973,6604399:textiles_sanitaires:4211:6608063,6630939:textiles_sanitaires:4211:6675111,6632877:textiles_sanitaires:4211:6678967,6654837:textiles_sanitaires:4211:6725824,6663625:textiles_sanitaires:4211:6735649,6686021:textiles_sanitaires:4211:6855445,6709374:textiles_sanitaires:4211:6709734,6720298:textiles_sanitaires:4211:6720656,6724591:textiles_sanitaires:4211:6724749,6787210:textiles_sanitaires:4211:6787860,6790919:textiles_sanitaires:4211:6791503,6812962:textiles_sanitaires:4211:6813248,6814154:textiles_sanitaires:4211:6828520'}), 'main_stat': {'nb_photos': 29394}}, 'hostname': (('raspi-64',),), 'impurety_average_per_hashtag': [(('emr', '2022-08', 0.03139712425437559),), (('jrm', '2022-08', 0.00838254816722681),), (('aluminium', '2022-08', 0.006832126052700646),), (('pet_fonce', '2022-08', 0.012910461966287217),), (('gm', '2022-08', 0.009116560536537937),)]} ############################### TEST csv ################################ Removing /home/admin/workarea/git/Velours/python/prod/memo/sla_csv VR TODO TOCHECK : due to this bug it shouldn't have being able to work, or maybe it was due to a change directory not done ! SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3980 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3980 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3980 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_background': 'pet_clair', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4322 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4322 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4322 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3995 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3995 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3995 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier TODO : Insert select and so on SELECT id, name, misc_info, datou_id_for_right FROM MTRPhoto.dashboard_places WHERE name="Romainville_Presse_1"; SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3980 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3980 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3980 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3980 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! {"input_values":[]} SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3994 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3994 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3994 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3994 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11488 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11496 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11497 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11495 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11495 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11489 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11575 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11575 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11491 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11490 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11490 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11498 send_mail_cod have less outputs used (0) than in the step definition (1) : some outputs may be not used ! Step 11499 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11491 doesn't seem to be define in the database( WARNING : type of input 3 of step 11490 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11488 doesn't seem to be define in the database( WARNING : type of input 2 of step 11492 doesn't seem to be define in the database( WARNING : output 1 of step 11488 have datatype=2 whereas input 1 of step 11495 have datatype=7 WARNING : type of output 2 of step 11495 doesn't seem to be define in the database( WARNING : type of input 1 of step 11489 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11491 have datatype=10 whereas input 3 of step 11498 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11575 doesn't seem to be define in the database( WARNING : output 1 of step 11489 have datatype=7 whereas input 2 of step 11575 have datatype=None WARNING : type of output 3 of step 11575 doesn't seem to be define in the database( WARNING : type of input 1 of step 11491 doesn't seem to be define in the database( WARNING : output 0 of step 11491 have datatype=10 whereas input 0 of step 11581 have datatype=18 WARNING : type of input 5 of step 11498 doesn't seem to be define in the database( WARNING : output 0 of step 11581 have datatype=11 whereas input 5 of step 11498 have datatype=None WARNING : type of output 1 of step 11496 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : type of output 1 of step 11497 doesn't seem to be define in the database( WARNING : type of input 3 of step 11492 doesn't seem to be define in the database( WARNING : output 0 of step 11495 have datatype=1 whereas input 0 of step 11489 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4209, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'papier,background', 'hashtag_background': '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,background', 'hashtag_weights': {'barquette_opaque': 1, 'ela': 1, 'etiquette': 1.0, 'film_plastique': 0.5, 'kraft': 1, 'metal': 3.0, 'papier': 1, 'pehd': 2, 'pet_clair': 2, 'pet_opaque': 2, 'textiles_sanitaires': 1.0, 'pet_fonce': 2}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3459 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3459 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3459 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3459 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 3726, 'hashtag_proportion': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,kraft,metal,plastique', 'hashtag_parmi': 'papier,background', 'hashtag_weights': {'Carton_brun': 1.5, 'Carton_gris': 1.5, 'Teint_Dans_La_Masse': 1.0, 'autre_refus': 1.5, 'cartonnette': 1.0, 'kraft': 1.5, 'metal': 3, 'plastique': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3991 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3991 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3991 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4203, 'hashtag_proportion': 'barquette_opaque,carton,etiquette,film_plastique,kraft,metal,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'ela,background', 'hashtag_background': '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,background', 'hashtag_background': 'pet_clair', 'hashtag_weights': {'autre': 8.0, 'barquette_avec_film': 6, 'carton': 8.0, 'metal': 12, 'papier': 5, 'pehd': 8, 'pet_fonce': 8, 'bouchon': 8, 'etiquette': 8}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4322 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4322 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4322 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4322 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4461, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,pehd,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'film_plastique', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3995 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3995 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3995 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3995 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4211, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,metal,papier,pet_fonce,pet_clair,pet_opaque,textiles_sanitaires', 'hashtag_parmi': 'pehd,background', 'hashtag_weights': {'barquette_opaque': 1, 'carton': 0.3, 'ela': 0.3, 'etiquette': 0.1, 'film_plastique': 0.1, 'kraft': 0.3, 'metal': 1.5, 'papier': 0.3, 'pet_clair': 0.3, 'pet_opaque': 0.3, 'textiles_sanitaires': 0.3, 'pet_fonce': 0.3, 'background': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=4153 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=4153 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 4153 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=4153 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4200, 'hashtag_proportion': 'carton,ela,etiquette,film_plastique,kraft,metal,papier,pehd,pet_opaque,textiles_sanitaires,barquette_opaque,pet_clair', 'hashtag_parmi': 'pet_fonce,background', 'hashtag_weights': {'barquette_opaque': 1.5, 'carton': 2.5, 'ela': 1.5, 'etiquette': 1.5, 'film_plastique': 1, 'kraft': 1.5, 'metal': 3.0, 'papier': 1.2, 'pehd': 1.5, 'pet_clair': 1.5, 'pet_opaque': 1.5, 'textiles_sanitaires': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier SELECT name, created_at,limit_max FROM MTRDatou.mtr_datou WHERE id=3992 SELECT mtd.id, mtdt.`type`, mtd.`param`, mtd.param_json, mtdt.nb_input, mtdt.nb_output, mtdt.prod, mtdt.is_local, mtdt.is_datou_depend, mtdt.is_photo_id_local FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_step_types mtdt WHERE mtdt.`id`=mtd.`type` AND mtd.mtd_id=3992 SELECT mtd.id, mtd.mtd_id, mdsdt.id, mdsdt.name, mdsdt.description, msid.output_or_input, msid.data_order_id, mdsdt.type FROM MTRDatou.mtr_datou_step mtd, MTRDatou.mtr_datou_steptype_io_datatypes msid, MTRDatou.mtr_datou_step_data_types mdsdt WHERE mtd.`type`=msid.`mtr_datou_step_type` AND mtd.mtd_id= 3992 AND msid.data_type=mdsdt.id SELECT mts_id_output, id_output, mts_id_input, id_input FROM MTRDatou.mtr_datou_step_by_step WHERE mtd_id=3992 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 have datatype=2 DataTypes for each output/input checked ! {"input_values":[]} Unexpected error treated as WARNING for now expected given param in final step {'name_pipeline': 'aggregate_carac_ratio', 'hashtag_type': 4205, 'hashtag_proportion': 'barquette_opaque,carton,ela,etiquette,film_plastique,kraft,papier,pehd,pet_clair,pet_opaque,textiles_sanitaires,pet_fonce', 'hashtag_parmi': 'metal,background', 'hashtag_background': '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,background', 'hashtag_weights': {'papier': 1, 'carton': 1, 'metal': 1, 'pet_clair': 1, 'autre': 1, 'pehd': 1, 'pet_fonce': 1, 'refus': 1}} Found hashtag_parmi in final step, will be used and useful if different from matiere_majoritaire in classifier create_report_from_API() got an unexpected keyword argument 'outfolder' ERROR csv FAILED [('memo', 'SUCCESS', True), ('one_day', 'SUCCESS', True), ('get_data', 'SUCCESS', True), ('csv', 'FAILURE', False)] res_total : False #&_#_#&_# TEST memo SUCCEEDED #&_#_#&_# #&_#_#&_# TEST one_day SUCCEEDED #&_#_#&_# #&_#_#&_# TEST get_data SUCCEEDED #&_#_#&_# #&_#_#&_# TEST csv FAILED #&_#_#&_# #&_# TEST FAILED #&_# : prod/memo/memo #&_# /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"memo": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','sla_mensuel','memo'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"one_day": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','sla_mensuel','one_day'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"get_data": "success"}','1','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','sla_mensuel','get_data'); /home/admin/workarea/git/Velours/python/tests/python_tests.py refs/heads/master_83a99f89ba1425b61103d3c693338e89f5a66451 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_83a99f89ba1425b61103d3c693338e89f5a66451','{"csv": "fail"}','0','http://marlene.fotonower-preprod.com/job/2025/April/17042025/python_test3//data_2/data_log/job/2025/April/17042025/python_test3/log-python3----short_python3--v--marlene-03:35:00.txt','sla_mensuel','csv'); #&_# END OF TEST #&_# : prod/memo/memo #&_# /home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python/../../tools/../lib/rpn/proposal_layer.py:28: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details. layer_params = yaml.load(self.param_str_) /usr/lib/python3/dist-packages/paramiko/transport.py:220: CryptographyDeprecationWarning: Blowfish has been deprecated "class": algorithms.Blowfish, #######all_test_python_finish###### insert result in bdd : Test are not running on charlot, the path should be tested ! /data_2/data_log/job/2025/April/17042025/python_test3/output_tests_python-0346.html new path : /proc/1331777/ 188.97user 117.33system 11:34.31elapsed 44%CPU (0avgtext+0avgdata 5809792maxresident)k 6798808inputs+936760outputs (26685major+11585476minor)pagefaults 0swaps