python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4891' -s datou_current_4891 -M 0 -S 0 -U 95,95,120 import MySQLdb succeeded Import error (python version) ['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/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', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages'] process id : 3497520 load datou : 4891 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better 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 for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : None was removed should we ? donnée sous forme de texte was removed should we ? [ptf_id0,ptf_id1...] was removed should we ? load thcls load pdts Running datou job : batch_current TODO datou_current to load to do maybe to take outside batchDatouExec no input labels no input values updating current state to 1 list_input_json: {} Current got : datou_id : 4891, datou_cur_ids : ['2727897'] with mtr_portfolio_ids : ['22087724'] and first list_photo_ids : [] new path : /proc/3497520/ Inside batchDatouExec : verbose : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better 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 : split_time_score over limit max, limiting to limit_max 100 list_input_json : {} origin We have 1 , WARNING: data may be incomplete, need to offset and complete ! we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.027213335037231445 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Apr 7 08:30:30 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3892, 'mtr_user_id': 31, 'name': 'learn_MM_generique_26022025', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '17736100,17736101,17736102,17736103,17736104,20837895,20837896,17736107,17736108,17736109,17736110,18876169', 'photo_hashtag_type': 4989, 'photo_desc_type': 6092, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', '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': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('06', 313), ('07', 345), ('08', 161)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 642} 07042025 22087724 Nombre de photos uploadées : 819 / 23040 (3%) 07042025 22087724 Nombre de photos taguées (types de déchets): 642 / 819 (78%) 07042025 22087724 Nombre de photos taguées (volume) : 642 / 819 (78%) elapsed_time : load_data_split_time_score 3.337860107421875e-06 elapsed_time : order_list_meta_photo_and_scores 0.00022292137145996094 ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.08285045623779297 elapsed_time : insert_dashboard_record_day_entry 0.027099609375 Creating list_photo_total elapsed_time : select_descriptors 19.226504802703857 07042025 22087724 Nombre de photos avec descriptors (type 6092) : 410 / 438 (93%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1350236784 photo_id_prec : 0 0:00:00|ON:0:01:19.998449|OFF:0:00:10.001215|ON:Missing descriptors for photos 1350236981 and 1350237355 Missing descriptors for photos 1350237355 and 1350237396 Missing descriptors for photos 1350237396 and 1350237423 Missing descriptors for photos 1350237423 and 1350237437 Missing descriptors for photos 1350237437 and 1350237479 Missing descriptors for photos 1350237479 and 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loading descriptors Missing descriptors for photos 1350243564 and 1350243569 Missing descriptors for photos 1350243569 and 1350243573 Missing descriptors for photos 1350243573 and 1350243579 Missing descriptors for photos 1350243579 and 1350243583 Missing descriptors for photos 1350243583 and 1350243611 Missing descriptors for photos 1350243611 and 1350243591 Missing descriptors for photos 1350243591 and 1350243617 Missing descriptors for photos 1350243617 and 1350243623 Missing descriptors for photos 1350243623 and 1350243660 Missing descriptors for photos 1350243660 and 1350243663 Missing descriptors for photos 1350243663 and 1350243668 Missing descriptors for photos 1350243668 and 1350243704 Missing descriptors for photos 1350243704 and 1350243709 Missing descriptors for photos 1350243709 and 1350243735 Missing descriptors for photos 1350243735 and 1350243739 Missing descriptors for photos 1350243739 and 1350243762 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for photos 1350246884 and 1350246894 Missing descriptors for photos 1350246894 and 1350247073 Missing descriptors for photos 1350247073 and 1350247078 Missing descriptors for photos 1350247078 and 1350247082 Missing descriptors for photos 1350247082 and 1350247087 Missing descriptors for photos 1350247087 and 1350247092 Missing descriptors for photos 1350247092 and 1350247099 Missing descriptors for photos 1350247099 and 1350247125 Missing descriptors for photos 1350247125 and 1350247137 Missing descriptors for photos 1350247137 and 1350247143 Missing descriptors for photos 1350247143 and 1350247168 Missing descriptors for photos 1350247168 and 1350247173 Missing descriptors for photos 1350247173 and 1350247191 Missing descriptors for photos 1350247191 and 1350247254 Missing descriptors for photos 1350247254 and 1350247286 Missing descriptors for photos 1350247286 and 1350247291 Missing descriptors for photos 1350247291 and 1350247294 Missing descriptors for photos 1350247294 and 1350247296 Missing descriptors for photos 1350247296 and 1350247299 Missing descriptors for photos 1350247299 and 1350247307 Missing descriptors for photos 1350247307 and 1350247309 Missing descriptors for photos 1350247309 and 1350247314 Missing descriptors for photos 1350247314 and 1350247317 Missing descriptors for photos 1350247317 and 1350247323 Missing descriptors for photos 1350247323 and 1350247327 Missing descriptors for photos 1350247327 and 1350247370 Missing descriptors for photos 1350247370 and 1350247372 Missing descriptors for photos 1350247372 and 1350247376 Missing descriptors for photos 1350247376 and 1350247380 Missing descriptors for photos 1350247380 and 1350247395 0:17:49.999564|OFF:0:00:18.999957|ON:0:01:31.000305|OFF:0:00:18.999665|ON:0:04:00.000040|OFF:0:00:19.998731|ON:Missing descriptors for photos 1350248130 and 1350248137 Missing descriptors for photos 1350248137 and 1350248142 Missing descriptors for photos 1350248142 and 1350248201 Missing descriptors for photos 1350248201 and 1350248207 Missing descriptors for photos 1350248207 and 1350248212 Missing descriptors for photos 1350248212 and 1350248216 Missing descriptors for photos 1350248216 and 1350248226 Missing descriptors for photos 1350248226 and 1350248232 Missing descriptors for photos 1350248232 and 1350248284 Missing descriptors for photos 1350248284 and 1350248288 Missing descriptors for photos 1350248288 and 1350248293 Missing descriptors for photos 1350248293 and 1350248298 Missing descriptors for photos 1350248298 and 1350248303 Missing descriptors for photos 1350248303 and 1350248308 Missing descriptors for photos 1350248308 and 1350248336 Missing descriptors for photos 1350248336 and 1350248342 Missing descriptors for photos 1350248342 and 1350248349 Missing descriptors for photos 1350248349 and 1350248355 Missing descriptors for photos 1350248355 and 1350248360 Missing descriptors for photos 1350248360 and 1350248363 Missing descriptors for photos 1350248363 and 1350248383 Missing descriptors for photos 1350248383 and 1350248443 Missing descriptors for photos 1350248443 and 1350248528 Missing descriptors for photos 1350248528 and 1350248601 Missing descriptors for photos 1350248601 and 1350248713 Missing descriptors for photos 1350248713 and 1350248744 07042025 Removing 57 photos because of the 'same image' condition Total on : 7878.995176999999 list_time_on Total off : 671.003035 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 819 time used for this insertion : 0.23903679847717285 photos_removed : len 57 elapsed_time : remove_photo_duplicate 0.36850786209106445 Creating list_photo_total XXXXXXXXXXXXXXXXXXWarning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.10817098617553711 Total photos : 819 .........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 .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 : 14 hashtag : 2107760238 photo_id =1350238442 : flux_dev ..............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 .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 .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 .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 : 40 hashtag : 616987804 photo_id =1350240987 : emr .can't find max_score_info ......can't find max_score_info ..................Change port : 23 hashtag : 560181804 photo_id =1350241176 : pcm .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 : 1 hashtag : 2107760239 photo_id =1350241671 : pehd_pp .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 : 13 hashtag : 2107760237 photo_id =1350243773 : film_pedb .......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 : 33 hashtag : 560181804 photo_id =1350244675 : pcm ....................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 : 30 hashtag : 616987804 photo_id =1350245498 : emr .....Change port : 5 hashtag : 560181804 photo_id =1350245547 : pcm ..........can't find max_score_info .Change port : 10 hashtag : 616987804 photo_id =1350245804 : emr ..Change port : 2 hashtag : 560181804 photo_id =1350245887 : pcm .Change port : 1 hashtag : 616987804 photo_id =1350245897 : emr .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 : 2 hashtag : 2107760239 photo_id =1350246398 : pehd_pp .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 : 20 hashtag : 2107755846 photo_id =1350247405 : pet_clair ..............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 Total photos : 819 Number of lists : 14 counter photos in port : 243 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 32 photos in 4 portfolios ! hashtag : film_pedb(2107760237) : 33 photos in 1 portfolios ! hashtag : flux_dev(2107760238) : 40 photos in 1 portfolios ! hashtag : jrm(495916461) : 0 photos in 0 portfolios ! hashtag : pcm(560181804) : 42 photos in 4 portfolios ! hashtag : pcnc(1284539308) : 0 photos in 0 portfolios ! hashtag : pehd_pp(2107760239) : 33 photos in 2 portfolios ! hashtag : pet_clair(2107755846) : 63 photos in 2 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 0 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.023634672164916992 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 2.6226043701171875e-06 today str has not a value , we define it as the date of the first image todaystr_first : 07042025 attention , prev_timestamp is 0 , we do nothing Unexpected type of data : ({'photo_id': 1350237862, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/c108f4cd6587e295e46e40d9124bcb71.jpg', 'username': None, 'uploaded_at': 1743999005, 'text': 'image_07042025_06_07_56_10557.jpg', 'time': 1744006076.010557}, 'different') Unexpected type of data : ({'photo_id': 1350237865, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/76c5313d98cd2e5cc7f812f03cad7490.jpg', 'username': None, 'uploaded_at': 1743999005, 'text': 'image_07042025_06_08_05_9363.jpg', 'time': 1744006085.009363}, 'different') Unexpected type of data : ({'photo_id': 1350237867, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/4679a85b1743cc0c0cb63e23bbfd80b0.jpg', 'username': None, 'uploaded_at': 1743999005, 'text': 'image_07042025_06_08_25_9178.jpg', 'time': 1744006105.009178}, 'different') Unexpected type of data : ({'photo_id': 1350237904, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/63f3c18747396447b4ded385131ccf80.jpg', 'username': None, 'uploaded_at': 1743999005, 'text': 'image_07042025_06_08_35_10473.jpg', 'time': 1744006115.010473}, 'different') Unexpected type of data : ({'photo_id': 1350237919, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/b2aa3f9bf654a4c0574356bbb7c60f21.jpg', 'username': None, 'uploaded_at': 1743999043, 'text': 'image_07042025_06_08_55_9148.jpg', 'time': 1744006135.009148}, 'duplicate') Unexpected type of data : ({'photo_id': 1350237976, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/94599dcbac27b0fe5c8635e3990c416b.jpg', 'username': None, 'uploaded_at': 1743999043, 'text': 'image_07042025_06_09_05_10542.jpg', 'time': 1744006145.010542}, 'duplicate') Unexpected type of data : ({'photo_id': 1350237979, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/af5752ced787b24996b08ec07ea264cb.jpg', 'username': None, 'uploaded_at': 1743999043, 'text': 'image_07042025_06_09_16_10398.jpg', 'time': 1744006156.010398}, 'duplicate') Unexpected type of data : ({'photo_id': 1350237982, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/5c2d77cc6d22b64e15bf71f3c2381770.jpg', 'username': None, 'uploaded_at': 1743999043, 'text': 'image_07042025_06_09_25_9116.jpg', 'time': 1744006165.009116}, 'duplicate') Unexpected type of data : ({'photo_id': 1350237985, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/29a7be370a17584b0756f8a835cc7da4.jpg', 'username': None, 'uploaded_at': 1743999043, 'text': 'image_07042025_06_09_35_10370.jpg', 'time': 1744006175.01037}, 'duplicate') Unexpected type of data : ({'photo_id': 1350237994, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/f77dd3c30ada848c7a748b8f398f957c.jpg', 'username': None, 'uploaded_at': 1743999082, 'text': 'image_07042025_06_09_55_9134.jpg', 'time': 1744006195.009134}, 'duplicate') Unexpected type of data : ({'photo_id': 1350237997, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/cd4112845b436612f1a5c42a7ead792d.jpg', 'username': None, 'uploaded_at': 1743999082, 'text': 'image_07042025_06_10_05_10609.jpg', 'time': 1744006205.010609}, 'duplicate') Unexpected type of data : ({'photo_id': 1350237999, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/8c1823540dedbd505528a1d6711ec3ac.jpg', 'username': None, 'uploaded_at': 1743999082, 'text': 'image_07042025_06_10_15_9346.jpg', 'time': 1744006215.009346}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238003, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/07bae2163bf0eced22ce0d475b7dd855.jpg', 'username': None, 'uploaded_at': 1743999082, 'text': 'image_07042025_06_10_25_10363.jpg', 'time': 1744006225.010363}, 'different') Unexpected type of data : ({'photo_id': 1350238007, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/4affcabbd30ec2f961697293ce04b1ca.jpg', 'username': None, 'uploaded_at': 1743999082, 'text': 'image_07042025_06_10_36_10458.jpg', 'time': 1744006236.010458}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238010, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/6c08a314dbe8db76efffc6ba5fb682e7.jpg', 'username': None, 'uploaded_at': 1743999082, 'text': 'image_07042025_06_10_45_9208.jpg', 'time': 1744006245.009208}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238058, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/41e1aaf92e3af4dfc41a9b66d58ec5fa.jpg', 'username': None, 'uploaded_at': 1743999183, 'text': 'image_07042025_06_10_55_10373.jpg', 'time': 1744006255.010373}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238060, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/11f899e6550546d8168f51708088ddde.jpg', 'username': None, 'uploaded_at': 1743999183, 'text': 'image_07042025_06_11_06_10507.jpg', 'time': 1744006266.010507}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238062, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/572e159f8944464c35e7413226a407e9.jpg', 'username': None, 'uploaded_at': 1743999183, 'text': 'image_07042025_06_11_25_10600.jpg', 'time': 1744006285.0106}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238063, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/5603deb5102c873359ca9c1bbb92c112.jpg', 'username': None, 'uploaded_at': 1743999183, 'text': 'image_07042025_06_11_36_10367.jpg', 'time': 1744006296.010367}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238076, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/833c6cbcef21cfa63d87a5368bd27797.jpg', 'username': None, 'uploaded_at': 1743999222, 'text': 'image_07042025_06_11_45_9230.jpg', 'time': 1744006305.00923}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238082, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/ab4dbb703e761a37cb8691a49a53dca5.jpg', 'username': None, 'uploaded_at': 1743999222, 'text': 'image_07042025_06_12_15_10378.jpg', 'time': 1744006335.010378}, 'different') Unexpected type of data : ({'photo_id': 1350238085, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/4dea3739d16a50c889419a47bf53c067.jpg', 'username': None, 'uploaded_at': 1743999222, 'text': 'image_07042025_06_12_25_10375.jpg', 'time': 1744006345.010375}, 'different') Unexpected type of data : ({'photo_id': 1350238090, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/d4258528ff65e7e94c2ac94e354b0bee.jpg', 'username': None, 'uploaded_at': 1743999222, 'text': 'image_07042025_06_12_35_9218.jpg', 'time': 1744006355.009218}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238092, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/69fad3c03496459be448782b12f563e8.jpg', 'username': None, 'uploaded_at': 1743999222, 'text': 'image_07042025_06_12_45_10364.jpg', 'time': 1744006365.010364}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238102, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/851d54b63a09aaa756956179a9a24e11.jpg', 'username': None, 'uploaded_at': 1743999262, 'text': 'image_07042025_06_12_55_10377.jpg', 'time': 1744006375.010377}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238104, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/040b42c0b4677ce2b75010d17d80a1f0.jpg', 'username': None, 'uploaded_at': 1743999262, 'text': 'image_07042025_06_13_15_10386.jpg', 'time': 1744006395.010386}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238107, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/f52152a1ad154fd60905296ea040372d.jpg', 'username': None, 'uploaded_at': 1743999262, 'text': 'image_07042025_06_13_35_9267.jpg', 'time': 1744006415.009267}, 'different') Unexpected type of data : ({'photo_id': 1350238155, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/18c22a2f432ac98ce21ad05d06a81754.jpg', 'username': None, 'uploaded_at': 1743999364, 'text': 'image_07042025_06_13_56_10358.jpg', 'time': 1744006436.010358}, 'different') Unexpected type of data : ({'photo_id': 1350238158, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/c6e58702de5106e3a079271794c5d353.jpg', 'username': None, 'uploaded_at': 1743999364, 'text': 'image_07042025_06_14_05_9165.jpg', 'time': 1744006445.009165}, 'different') Unexpected type of data : ({'photo_id': 1350238161, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/3cb89ce140c76a08a13c2ecfc6258d7e.jpg', 'username': None, 'uploaded_at': 1743999364, 'text': 'image_07042025_06_14_25_10371.jpg', 'time': 1744006465.010371}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238163, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/01201855f03b2b4009b931e5cffa4ecd.jpg', 'username': None, 'uploaded_at': 1743999364, 'text': 'image_07042025_06_14_35_9127.jpg', 'time': 1744006475.009127}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238173, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/b36692fc69390e587bf7c9b63dee299e.jpg', 'username': None, 'uploaded_at': 1743999403, 'text': 'image_07042025_06_14_55_10438.jpg', 'time': 1744006495.010438}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238178, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/67b80e4fdac7487a13b8004669770f3f.jpg', 'username': None, 'uploaded_at': 1743999403, 'text': 'image_07042025_06_15_05_9369.jpg', 'time': 1744006505.009369}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238186, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/21bb18e8d0b6edd137fe13dfdbdb23fd.jpg', 'username': None, 'uploaded_at': 1743999403, 'text': 'image_07042025_06_15_15_10385.jpg', 'time': 1744006515.010385}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238197, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/215577bd27facf6819e47e0fdcbdbfd9.jpg', 'username': None, 'uploaded_at': 1743999403, 'text': 'image_07042025_06_15_26_10372.jpg', 'time': 1744006526.010372}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238199, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/e97673511767fc6f6f5978262f8a4b07.jpg', 'username': None, 'uploaded_at': 1743999403, 'text': 'image_07042025_06_15_35_9178.jpg', 'time': 1744006535.009178}, 'different') Unexpected type of data : ({'photo_id': 1350238202, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/744c174cd57e6c330bd3ad033bd95387.jpg', 'username': None, 'uploaded_at': 1743999403, 'text': 'image_07042025_06_15_45_10371.jpg', 'time': 1744006545.010371}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238228, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/f7fe062a9462eb65aaadbc920b3a01ad.jpg', 'username': None, 'uploaded_at': 1743999463, 'text': 'image_07042025_06_15_56_10460.jpg', 'time': 1744006556.01046}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238240, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/2f782686049c77b3057df9b753a5db26.jpg', 'username': None, 'uploaded_at': 1743999463, 'text': 'image_07042025_06_16_05_9502.jpg', 'time': 1744006565.009502}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238244, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/87dc8b12c658230ff09bf46655a61809.jpg', 'username': None, 'uploaded_at': 1743999463, 'text': 'image_07042025_06_16_15_10377.jpg', 'time': 1744006575.010377}, 'different') Unexpected type of data : ({'photo_id': 1350238248, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/68b38e0820996479dde69951a36ade59.jpg', 'username': None, 'uploaded_at': 1743999463, 'text': 'image_07042025_06_16_35_10380.jpg', 'time': 1744006595.01038}, 'duplicate') Unexpected type of data : ({'photo_id': 1350238262, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/e4cc2434f9152fdb7fd66cfaebd37d8e.jpg', 'username': None, 'uploaded_at': 1743999463, 'text': 'image_07042025_06_16_45_10422.jpg', 'time': 1744006605.010422}, 'duplicate') * BIG TIME 549.9987411499023 (120.99932217597961, 3, 0, 0, 0, 0.30095744, 0, 0, 0, 0, 0, 0, 0, 0, 0.013999953317642212, 0.0015, 0.0008998935937881469, 1.9, 0.010001275062561035, -0.0) on 13 1350238282 2025-04-07 06:16:55.009165 id_data : 84 **Unexpected type of data : ({'photo_id': 1350241778, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/e03e9d5fa6726244b3dd44af41b69776.jpg', 'username': None, 'uploaded_at': 1744003023, 'text': 'image_07042025_07_11_55_10405.jpg', 'time': 1744009915.010405}, 'different') Unexpected type of data : ({'photo_id': 1350241784, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/19163b9d20358bacd37206cdc6b7c36d.jpg', 'username': None, 'uploaded_at': 1744003023, 'text': 'image_07042025_07_12_05_9619.jpg', 'time': 1744009925.009619}, 'different') Unexpected type of data : ({'photo_id': 1350241787, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/bf419144bcc317f087d86805d95cde9f.jpg', 'username': None, 'uploaded_at': 1744003023, 'text': 'image_07042025_07_12_15_10502.jpg', 'time': 1744009935.010502}, 'different') Unexpected type of data : ({'photo_id': 1350241794, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/10a3c141e0e689716c9d986debfa1033.jpg', 'username': None, 'uploaded_at': 1744003023, 'text': 'image_07042025_07_12_25_9230.jpg', 'time': 1744009945.00923}, 'different') Unexpected type of data : ({'photo_id': 1350241800, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/cd60359cc75f4117a1cbd55638a56b7b.jpg', 'username': None, 'uploaded_at': 1744003023, 'text': 'image_07042025_07_12_35_10344.jpg', 'time': 1744009955.010344}, 'different') Unexpected type of data : ({'photo_id': 1350241811, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/643df5e7ed033db502e4333ae0a10441.jpg', 'username': None, 'uploaded_at': 1744003023, 'text': 'image_07042025_07_12_45_10365.jpg', 'time': 1744009965.010365}, 'different') Unexpected type of data : ({'photo_id': 1350241847, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/6097a803ae611ad4ef4fa83d22d8b06f.jpg', 'username': None, 'uploaded_at': 1744003084, 'text': 'image_07042025_07_13_15_10310.jpg', 'time': 1744009995.01031}, 'different') Unexpected type of data : ({'photo_id': 1350241855, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/635eadbc1f40d09d8010fcf4f00a4687.jpg', 'username': None, 'uploaded_at': 1744003084, 'text': 'image_07042025_07_13_25_10362.jpg', 'time': 1744010005.010362}, 'different') Unexpected type of data : ({'photo_id': 1350241861, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/c657ba85637990fe10f0ec46b73ddd10.jpg', 'username': None, 'uploaded_at': 1744003084, 'text': 'image_07042025_07_13_35_9318.jpg', 'time': 1744010015.009318}, 'different') Unexpected type of data : ({'photo_id': 1350241866, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/a16475efaa5a7b2ab273bcfc879dd743.jpg', 'username': None, 'uploaded_at': 1744003084, 'text': 'image_07042025_07_13_45_10379.jpg', 'time': 1744010025.010379}, 'different') Unexpected type of data : ({'photo_id': 1350241870, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/cd902ab116b2aa959e36282b1e3048f2.jpg', 'username': None, 'uploaded_at': 1744003084, 'text': 'image_07042025_07_13_55_10305.jpg', 'time': 1744010035.010305}, 'different') Unexpected type of data : ({'photo_id': 1350241875, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/5f218a296228c4d0e7c900ee7e4c076d.jpg', 'username': None, 'uploaded_at': 1744003084, 'text': 'image_07042025_07_14_05_9229.jpg', 'time': 1744010045.009229}, 'different') Unexpected type of data : ({'photo_id': 1350241935, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/1379bfe6d6d13a2b26812cd8cf465bb2.jpg', 'username': None, 'uploaded_at': 1744003123, 'text': 'image_07042025_07_14_15_10324.jpg', 'time': 1744010055.010324}, 'different') Unexpected type of data : ({'photo_id': 1350241951, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/6e9ba6da11d886eee630f64ddc22e934.jpg', 'username': None, 'uploaded_at': 1744003123, 'text': 'image_07042025_07_14_25_10358.jpg', 'time': 1744010065.010358}, 'different') Unexpected type of data : ({'photo_id': 1350242030, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/01e072ee24c8e1974e04ce0fe54789f0.jpg', 'username': None, 'uploaded_at': 1744003123, 'text': 'image_07042025_07_14_36_10343.jpg', 'time': 1744010076.010343}, 'different') Unexpected type of data : ({'photo_id': 1350242035, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/749b0a8d4c5ee08d9d3bbde258d54b2f.jpg', 'username': None, 'uploaded_at': 1744003123, 'text': 'image_07042025_07_14_45_9218.jpg', 'time': 1744010085.009218}, 'different') Unexpected type of data : ({'photo_id': 1350242075, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/f4bd83d0015bd9a4d922f5c73f62d260.jpg', 'username': None, 'uploaded_at': 1744003123, 'text': 'image_07042025_07_14_55_10336.jpg', 'time': 1744010095.010336}, 'duplicate') Unexpected type of data : ({'photo_id': 1350242139, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/17f2b641df8c1988af38dc919d6a2647.jpg', 'username': None, 'uploaded_at': 1744003123, 'text': 'image_07042025_07_15_06_10527.jpg', 'time': 1744010106.010527}, 'duplicate') Unexpected type of data : ({'photo_id': 1350242194, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/7682324f3e6bbe7751daf94b2efb281b.jpg', 'username': None, 'uploaded_at': 1744003163, 'text': 'image_07042025_07_15_15_9195.jpg', 'time': 1744010115.009195}, 'different') Unexpected type of data : ({'photo_id': 1350242232, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/c239d00743276aa7ee078a24e5105e39.jpg', 'username': None, 'uploaded_at': 1744003163, 'text': 'image_07042025_07_15_25_10506.jpg', 'time': 1744010125.010506}, 'different') Unexpected type of data : ({'photo_id': 1350242235, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/a65a598ac4c033638629613a67adb1a1.jpg', 'username': None, 'uploaded_at': 1744003163, 'text': 'image_07042025_07_15_36_10366.jpg', 'time': 1744010136.010366}, 'different') Unexpected type of data : ({'photo_id': 1350242239, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/5d56d5f5984c8e97345b730e4872a80d.jpg', 'username': None, 'uploaded_at': 1744003163, 'text': 'image_07042025_07_15_45_9151.jpg', 'time': 1744010145.009151}, 'different') Unexpected type of data : ({'photo_id': 1350242251, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/dbdfe25016ec7645fdf8f03190e50117.jpg', 'username': None, 'uploaded_at': 1744003163, 'text': 'image_07042025_07_15_55_10398.jpg', 'time': 1744010155.010398}, 'different') Unexpected type of data : ({'photo_id': 1350242256, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/c39b818ffbf998786ad3001015840801.jpg', 'username': None, 'uploaded_at': 1744003163, 'text': 'image_07042025_07_16_05_9434.jpg', 'time': 1744010165.009434}, 'different') Unexpected type of data : ({'photo_id': 1350242264, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/4dc6b938458c750bdc829d8c849b09b4.jpg', 'username': None, 'uploaded_at': 1744003204, 'text': 'image_07042025_07_16_15_10393.jpg', 'time': 1744010175.010393}, 'different') Unexpected type of data : ({'photo_id': 1350242268, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/6c241343aa3502a374f1c0c00381dc3c.jpg', 'username': None, 'uploaded_at': 1744003204, 'text': 'image_07042025_07_16_26_10413.jpg', 'time': 1744010186.010413}, 'different') Unexpected type of data : ({'photo_id': 1350242272, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/f2f1c48993ddd415759c76ba2a71ed2f.jpg', 'username': None, 'uploaded_at': 1744003204, 'text': 'image_07042025_07_16_35_9135.jpg', 'time': 1744010195.009135}, 'different') Unexpected type of data : ({'photo_id': 1350242274, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/49aaa3308411133b0c95f2eb6d8fae41.jpg', 'username': None, 'uploaded_at': 1744003204, 'text': 'image_07042025_07_16_45_10413.jpg', 'time': 1744010205.010413}, 'different') Unexpected type of data : ({'photo_id': 1350242279, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/64150e345c24047825f44b4499101a80.jpg', 'username': None, 'uploaded_at': 1744003204, 'text': 'image_07042025_07_16_56_10480.jpg', 'time': 1744010216.01048}, 'different') Unexpected type of data : ({'photo_id': 1350242284, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/8df8c539bc32c0dd3cbeba1590b848fa.jpg', 'username': None, 'uploaded_at': 1744003204, 'text': 'image_07042025_07_17_05_9364.jpg', 'time': 1744010225.009364}, 'different') Unexpected type of data : ({'photo_id': 1350242296, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/2110836cc7c77515686aaeb249e294ee.jpg', 'username': None, 'uploaded_at': 1744003243, 'text': 'image_07042025_07_17_15_10488.jpg', 'time': 1744010235.010488}, 'different') Unexpected type of data : ({'photo_id': 1350242302, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/e2e673ae0e744a09f84d372ad2884de2.jpg', 'username': None, 'uploaded_at': 1744003243, 'text': 'image_07042025_07_17_26_10375.jpg', 'time': 1744010246.010375}, 'different') Unexpected type of data : ({'photo_id': 1350242307, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/bc7f53dddd56785badba011a5b3aa590.jpg', 'username': None, 'uploaded_at': 1744003243, 'text': 'image_07042025_07_17_35_9140.jpg', 'time': 1744010255.00914}, 'different') Unexpected type of data : ({'photo_id': 1350242310, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/dcb5340047f336e0f75bc99f17f20bf2.jpg', 'username': None, 'uploaded_at': 1744003243, 'text': 'image_07042025_07_17_45_10454.jpg', 'time': 1744010265.010454}, 'different') Unexpected type of data : ({'photo_id': 1350242312, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/b7ba6886191d448f8a8ec3db1b30fe6e.jpg', 'username': None, 'uploaded_at': 1744003243, 'text': 'image_07042025_07_17_56_10341.jpg', 'time': 1744010276.010341}, 'different') Unexpected type of data : ({'photo_id': 1350242315, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/d52aa937e8e79157d6367afc564c780d.jpg', 'username': None, 'uploaded_at': 1744003243, 'text': 'image_07042025_07_18_05_9476.jpg', 'time': 1744010285.009476}, 'different') Unexpected type of data : ({'photo_id': 1350242334, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/f4c5c04211394a61dc58c299f43c1f4e.jpg', 'username': None, 'uploaded_at': 1744003282, 'text': 'image_07042025_07_18_16_10509.jpg', 'time': 1744010296.010509}, 'different') Unexpected type of data : ({'photo_id': 1350242339, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/15af0a963742fc3ee959928ade2625c9.jpg', 'username': None, 'uploaded_at': 1744003282, 'text': 'image_07042025_07_18_25_9132.jpg', 'time': 1744010305.009132}, 'different') Unexpected type of data : ({'photo_id': 1350242342, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/5f984d683d1875c37f2348b39c5f2ad7.jpg', 'username': None, 'uploaded_at': 1744003282, 'text': 'image_07042025_07_18_35_10345.jpg', 'time': 1744010315.010345}, 'different') Unexpected type of data : ({'photo_id': 1350242351, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/d119daab9febdd6269166d80e76ca1ce.jpg', 'username': None, 'uploaded_at': 1744003282, 'text': 'image_07042025_07_18_46_10444.jpg', 'time': 1744010326.010444}, 'different') Unexpected type of data : ({'photo_id': 1350242369, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/c6194af590bbf94190e437eb46cfbaa6.jpg', 'username': None, 'uploaded_at': 1744003282, 'text': 'image_07042025_07_18_55_9127.jpg', 'time': 1744010335.009127}, 'different') Unexpected type of data : ({'photo_id': 1350242373, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/d0388894f7a8581b037796077f1448ac.jpg', 'username': None, 'uploaded_at': 1744003282, 'text': 'image_07042025_07_19_05_10405.jpg', 'time': 1744010345.010405}, 'different') Unexpected type of data : ({'photo_id': 1350242389, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/924715df1b75420178801e166057e348.jpg', 'username': None, 'uploaded_at': 1744003342, 'text': 'image_07042025_07_19_16_10412.jpg', 'time': 1744010356.010412}, 'different') Unexpected type of data : ({'photo_id': 1350242391, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/77077996e739323bb60c18490d28ee6c.jpg', 'username': None, 'uploaded_at': 1744003342, 'text': 'image_07042025_07_19_25_9124.jpg', 'time': 1744010365.009124}, 'different') Unexpected type of data : ({'photo_id': 1350242393, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/66612a9f9646cc189b466154acf1be90.jpg', 'username': None, 'uploaded_at': 1744003342, 'text': 'image_07042025_07_19_35_10332.jpg', 'time': 1744010375.010332}, 'different') Unexpected type of data : ({'photo_id': 1350242398, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/5d96e2a8ce587b2632bac5cd7fb5fe9d.jpg', 'username': None, 'uploaded_at': 1744003342, 'text': 'image_07042025_07_19_45_10283.jpg', 'time': 1744010385.010283}, 'different') Unexpected type of data : ({'photo_id': 1350242405, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/013a0374e2448b4d975b9ef8e80afaf7.jpg', 'username': None, 'uploaded_at': 1744003342, 'text': 'image_07042025_07_19_56_10301.jpg', 'time': 1744010396.010301}, 'different') Unexpected type of data : ({'photo_id': 1350242409, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/fa74e385b82c49fb0f1ba61c44873b12.jpg', 'username': None, 'uploaded_at': 1744003342, 'text': 'image_07042025_07_20_05_9439.jpg', 'time': 1744010405.009439}, 'different') Unexpected type of data : ({'photo_id': 1350242460, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/942685946c999cbe1827d5fcabe7b759.jpg', 'username': None, 'uploaded_at': 1744003383, 'text': 'image_07042025_07_20_15_10297.jpg', 'time': 1744010415.010297}, 'different') Unexpected type of data : ({'photo_id': 1350242464, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/bfa65032ab1a6e26fbb1c6550da37278.jpg', 'username': None, 'uploaded_at': 1744003383, 'text': 'image_07042025_07_20_26_10273.jpg', 'time': 1744010426.010273}, 'different') Unexpected type of data : ({'photo_id': 1350242468, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/eb376437d3c86656a82413f73edde8b3.jpg', 'username': None, 'uploaded_at': 1744003383, 'text': 'image_07042025_07_20_35_9051.jpg', 'time': 1744010435.009051}, 'different') Unexpected type of data : ({'photo_id': 1350242474, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/02007e5d8e6745f315fda79e54d0a867.jpg', 'username': None, 'uploaded_at': 1744003383, 'text': 'image_07042025_07_20_45_10311.jpg', 'time': 1744010445.010311}, 'different') Unexpected type of data : ({'photo_id': 1350242479, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/36e8c191d49991268e83c0974305d544.jpg', 'username': None, 'uploaded_at': 1744003383, 'text': 'image_07042025_07_20_55_10265.jpg', 'time': 1744010455.010265}, 'duplicate') Unexpected type of data : ({'photo_id': 1350242483, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/1581d04328f1a714492ef2b87f0aeb81.jpg', 'username': None, 'uploaded_at': 1744003383, 'text': 'image_07042025_07_21_06_10392.jpg', 'time': 1744010466.010392}, 'different') Unexpected type of data : ({'photo_id': 1350242574, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/ba0cc36731f6e1a6f46437036167b50b.jpg', 'username': None, 'uploaded_at': 1744003422, 'text': 'image_07042025_07_21_15_9167.jpg', 'time': 1744010475.009167}, 'different') Unexpected type of data : ({'photo_id': 1350242578, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/36c3236cf4b89e9da0c824b899799cb0.jpg', 'username': None, 'uploaded_at': 1744003422, 'text': 'image_07042025_07_21_25_10321.jpg', 'time': 1744010485.010321}, 'different') Unexpected type of data : ({'photo_id': 1350242580, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/705b3b48e1af633a83646967a1dc9909.jpg', 'username': None, 'uploaded_at': 1744003422, 'text': 'image_07042025_07_21_36_10383.jpg', 'time': 1744010496.010383}, 'different') Unexpected type of data : ({'photo_id': 1350242582, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/5036fe37e0faafdd69cbbc82991a2ecf.jpg', 'username': None, 'uploaded_at': 1744003422, 'text': 'image_07042025_07_21_45_9026.jpg', 'time': 1744010505.009026}, 'different') Unexpected type of data : ({'photo_id': 1350242585, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/690ef5b0f807fc6730ae97714573827e.jpg', 'username': None, 'uploaded_at': 1744003422, 'text': 'image_07042025_07_22_05_10393.jpg', 'time': 1744010525.010393}, 'different') Unexpected type of data : ({'photo_id': 1350242589, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/755df45958bf9e5108d6ef0920839f31.jpg', 'username': None, 'uploaded_at': 1744003422, 'text': 'image_07042025_07_22_16_10412.jpg', 'time': 1744010536.010412}, 'different') Unexpected type of data : ({'photo_id': 1350242715, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/e8fa2049f3c78a637a855c868d7428a6.jpg', 'username': None, 'uploaded_at': 1744003463, 'text': 'image_07042025_07_22_25_9107.jpg', 'time': 1744010545.009107}, 'different') Unexpected type of data : ({'photo_id': 1350242720, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/309ed99fea36ce8ad6d036934501ee12.jpg', 'username': None, 'uploaded_at': 1744003463, 'text': 'image_07042025_07_22_35_10329.jpg', 'time': 1744010555.010329}, 'duplicate') Unexpected type of data : ({'photo_id': 1350242724, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/009dd4838724734f1cfd421cc721375c.jpg', 'username': None, 'uploaded_at': 1744003463, 'text': 'image_07042025_07_22_45_10287.jpg', 'time': 1744010565.010287}, 'different') Unexpected type of data : ({'photo_id': 1350242762, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/3904397aa10d60b19bce14761922fbcf.jpg', 'username': None, 'uploaded_at': 1744003463, 'text': 'image_07042025_07_22_56_10271.jpg', 'time': 1744010576.010271}, 'different') Unexpected type of data : ({'photo_id': 1350242776, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/665d0eb5c754173338b35203f5a9facd.jpg', 'username': None, 'uploaded_at': 1744003463, 'text': 'image_07042025_07_23_05_9560.jpg', 'time': 1744010585.00956}, 'different') Unexpected type of data : ({'photo_id': 1350242793, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/712323e98ddecd4d12260f7be43dc69f.jpg', 'username': None, 'uploaded_at': 1744003463, 'text': 'image_07042025_07_23_15_10314.jpg', 'time': 1744010595.010314}, 'duplicate') Unexpected type of data : ({'photo_id': 1350242804, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/5c25eb319843f542946eec4f6b37ebdb.jpg', 'username': None, 'uploaded_at': 1744003503, 'text': 'image_07042025_07_23_25_9298.jpg', 'time': 1744010605.009298}, 'duplicate') Unexpected type of data : ({'photo_id': 1350242809, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/f6c79e7d981bffa7e32614c6f7162cd7.jpg', 'username': None, 'uploaded_at': 1744003503, 'text': 'image_07042025_07_23_35_10356.jpg', 'time': 1744010615.010356}, 'different') Unexpected type of data : ({'photo_id': 1350242815, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/8e10617151278e86466d6a4420d7dab1.jpg', 'username': None, 'uploaded_at': 1744003503, 'text': 'image_07042025_07_23_46_10401.jpg', 'time': 1744010626.010401}, 'different') Unexpected type of data : ({'photo_id': 1350242843, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/1e84373d22a712a54b0721d310d881ba.jpg', 'username': None, 'uploaded_at': 1744003543, 'text': 'image_07042025_07_23_55_9125.jpg', 'time': 1744010635.009125}, 'different') Unexpected type of data : ({'photo_id': 1350242846, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/fa64bc322be35487bcb388a9a09296e6.jpg', 'username': None, 'uploaded_at': 1744003543, 'text': 'image_07042025_07_24_05_10713.jpg', 'time': 1744010645.010713}, 'different') Unexpected type of data : ({'photo_id': 1350242853, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/9febf31488820a0bed9c30c914b685c9.jpg', 'username': None, 'uploaded_at': 1744003543, 'text': 'image_07042025_07_24_25_9128.jpg', 'time': 1744010665.009128}, 'different') Unexpected type of data : ({'photo_id': 1350242855, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/982d050e76178ce83b86e3044e1c2b0c.jpg', 'username': None, 'uploaded_at': 1744003543, 'text': 'image_07042025_07_24_35_10354.jpg', 'time': 1744010675.010354}, 'different') Unexpected type of data : ({'photo_id': 1350242896, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/350ccfb490262d3f162dfceeda2d08b1.jpg', 'username': None, 'uploaded_at': 1744003583, 'text': 'image_07042025_07_24_46_10433.jpg', 'time': 1744010686.010433}, 'different') Unexpected type of data : ({'photo_id': 1350242900, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/e5898142ed24e10bf72f3e0231b58b62.jpg', 'username': None, 'uploaded_at': 1744003583, 'text': 'image_07042025_07_25_25_10291.jpg', 'time': 1744010725.010291}, 'different') Unexpected type of data : ({'photo_id': 1350242903, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/c1d72cf0f3bf10cf509f6b2ada6aacf0.jpg', 'username': None, 'uploaded_at': 1744003583, 'text': 'image_07042025_07_25_35_10299.jpg', 'time': 1744010735.010299}, 'different') Unexpected type of data : ({'photo_id': 1350242906, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/677622c336bea8b9f0bbe0e42cfeecc0.jpg', 'username': None, 'uploaded_at': 1744003583, 'text': 'image_07042025_07_25_46_10280.jpg', 'time': 1744010746.01028}, 'different') Unexpected type of data : ({'photo_id': 1350243048, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/713b21e6440b8fe0fe285a3ed9cf3e01.jpg', 'username': None, 'uploaded_at': 1744003663, 'text': 'image_07042025_07_25_55_9059.jpg', 'time': 1744010755.009059}, 'different') Unexpected type of data : ({'photo_id': 1350243067, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/13529b6c38bf539a2e48b53374fa4037.jpg', 'username': None, 'uploaded_at': 1744003663, 'text': 'image_07042025_07_26_05_10576.jpg', 'time': 1744010765.010576}, 'different') Unexpected type of data : ({'photo_id': 1350243079, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/8317915d6bec6b05b8e3d690f60efc58.jpg', 'username': None, 'uploaded_at': 1744003663, 'text': 'image_07042025_07_26_16_10400.jpg', 'time': 1744010776.0104}, 'different') Unexpected type of data : ({'photo_id': 1350243086, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/c7d543e269bd85dbeb075d8ca57c00b7.jpg', 'username': None, 'uploaded_at': 1744003663, 'text': 'image_07042025_07_26_25_9125.jpg', 'time': 1744010785.009125}, 'duplicate') Unexpected type of data : ({'photo_id': 1350243103, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/188d007c77518f44cdcdbfa13ed54398.jpg', 'username': None, 'uploaded_at': 1744003663, 'text': 'image_07042025_07_26_35_10303.jpg', 'time': 1744010795.010303}, 'different') Unexpected type of data : ({'photo_id': 1350243108, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/240d3146b8595ea041d74d55e721f35f.jpg', 'username': None, 'uploaded_at': 1744003663, 'text': 'image_07042025_07_26_45_10306.jpg', 'time': 1744010805.010306}, 'different') Unexpected type of data : ({'photo_id': 1350243162, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/a40d686e396ab23fcee4c7f7263d818c.jpg', 'username': None, 'uploaded_at': 1744003703, 'text': 'image_07042025_07_26_56_10311.jpg', 'time': 1744010816.010311}, 'different') Unexpected type of data : ({'photo_id': 1350243168, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/9df265aa6f05397c03bcb5b960e09402.jpg', 'username': None, 'uploaded_at': 1744003703, 'text': 'image_07042025_07_27_05_9302.jpg', 'time': 1744010825.009302}, 'different') Unexpected type of data : ({'photo_id': 1350243180, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/dee930fbaf1e4fa62cc78eaf8d5427ed.jpg', 'username': None, 'uploaded_at': 1744003703, 'text': 'image_07042025_07_27_15_10360.jpg', 'time': 1744010835.01036}, 'different') Unexpected type of data : ({'photo_id': 1350243185, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/7a4d1ec653c3578c7be7dce052291740.jpg', 'username': None, 'uploaded_at': 1744003703, 'text': 'image_07042025_07_27_25_9325.jpg', 'time': 1744010845.009325}, 'duplicate') Unexpected type of data : ({'photo_id': 1350243189, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/ea4b10e6a80690e76bfd715de0b41597.jpg', 'username': None, 'uploaded_at': 1744003703, 'text': 'image_07042025_07_27_35_10309.jpg', 'time': 1744010855.010309}, 'different') Unexpected type of data : ({'photo_id': 1350243197, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/a6e383cdf9fdb293d1ee01e5e721a3a4.jpg', 'username': None, 'uploaded_at': 1744003703, 'text': 'image_07042025_07_27_45_10325.jpg', 'time': 1744010865.010325}, 'different') Unexpected type of data : ({'photo_id': 1350243217, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/a1ae9999100810eb3cc32e8d16f8036d.jpg', 'username': None, 'uploaded_at': 1744003762, 'text': 'image_07042025_07_27_56_10383.jpg', 'time': 1744010876.010383}, 'different') Unexpected type of data : ({'photo_id': 1350243220, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/c26c66973b5f6cb074871c6e36d27e09.jpg', 'username': None, 'uploaded_at': 1744003762, 'text': 'image_07042025_07_28_05_9319.jpg', 'time': 1744010885.009319}, 'duplicate') Unexpected type of data : ({'photo_id': 1350243227, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/aa38ed54fc00f0a9a97c0811bff5f9db.jpg', 'username': None, 'uploaded_at': 1744003762, 'text': 'image_07042025_07_28_15_10421.jpg', 'time': 1744010895.010421}, 'different') Unexpected type of data : ({'photo_id': 1350243231, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/1f7a619662087940a9f4b6f729af595c.jpg', 'username': None, 'uploaded_at': 1744003762, 'text': 'image_07042025_07_28_25_9122.jpg', 'time': 1744010905.009122}, 'different') Unexpected type of data : ({'photo_id': 1350243236, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/bf84cdd51d7f2e4acea2b1c4bf117529.jpg', 'username': None, 'uploaded_at': 1744003762, 'text': 'image_07042025_07_28_35_10439.jpg', 'time': 1744010915.010439}, 'different') Unexpected type of data : ({'photo_id': 1350243243, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/e608b4146ca3287123434b179c858d77.jpg', 'username': None, 'uploaded_at': 1744003762, 'text': 'image_07042025_07_28_45_10493.jpg', 'time': 1744010925.010493}, 'different') Unexpected type of data : ({'photo_id': 1350243308, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/19be3a0ac5801df315b1ec7b065a5f5b.jpg', 'username': None, 'uploaded_at': 1744003842, 'text': 'image_07042025_07_28_55_9149.jpg', 'time': 1744010935.009149}, 'different') Unexpected type of data : ({'photo_id': 1350243314, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/1c9c5418ab19d02d6833fcf99ffe8954.jpg', 'username': None, 'uploaded_at': 1744003842, 'text': 'image_07042025_07_29_05_10683.jpg', 'time': 1744010945.010683}, 'different') Unexpected type of data : ({'photo_id': 1350243321, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/1c4d3b7768aab508156363b08d43efa7.jpg', 'username': None, 'uploaded_at': 1744003842, 'text': 'image_07042025_07_29_16_10359.jpg', 'time': 1744010956.010359}, 'different') Unexpected type of data : ({'photo_id': 1350243363, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/0000aa0b5cfd51b145d5b4b7cd4d4239.jpg', 'username': None, 'uploaded_at': 1744003842, 'text': 'image_07042025_07_29_25_9306.jpg', 'time': 1744010965.009306}, 'different') Unexpected type of data : ({'photo_id': 1350243367, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/5279202951c1a0da34bba8d9fb3ac327.jpg', 'username': None, 'uploaded_at': 1744003842, 'text': 'image_07042025_07_29_35_10426.jpg', 'time': 1744010975.010426}, 'different') Unexpected type of data : ({'photo_id': 1350243370, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/9e25e2dc7a7ab810cf64c8734bbb780a.jpg', 'username': None, 'uploaded_at': 1744003842, 'text': 'image_07042025_07_29_46_10383.jpg', 'time': 1744010986.010383}, 'different') Unexpected type of data : ({'photo_id': 1350243390, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/d5b89e3305e0d5b87c8927138ab85b53.jpg', 'username': None, 'uploaded_at': 1744003882, 'text': 'image_07042025_07_29_55_9225.jpg', 'time': 1744010995.009225}, 'different') Unexpected type of data : ({'photo_id': 1350243393, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/1bcf21869be311662b5c8a465c63fd8e.jpg', 'username': None, 'uploaded_at': 1744003882, 'text': 'image_07042025_07_30_05_9643.jpg', 'time': 1744011005.009643}, 'different') Unexpected type of data : ({'photo_id': 1350243397, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/cad3dede5405caaee9047b29aa490d3c.jpg', 'username': None, 'uploaded_at': 1744003882, 'text': 'image_07042025_07_30_15_10507.jpg', 'time': 1744011015.010507}, 'different') Unexpected type of data : ({'photo_id': 1350243402, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/5fa1970e8fc8d0d2d7c84da0a000cc39.jpg', 'username': None, 'uploaded_at': 1744003882, 'text': 'image_07042025_07_30_26_10376.jpg', 'time': 1744011026.010376}, 'different') Unexpected type of data : ({'photo_id': 1350243406, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/fc44254593f1a80f8a99dd205981f49d.jpg', 'username': None, 'uploaded_at': 1744003882, 'text': 'image_07042025_07_30_35_9196.jpg', 'time': 1744011035.009196}, 'different') Unexpected type of data : ({'photo_id': 1350243414, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/5bd7d6a0e28fcfd19483ffef5ff2e79d.jpg', 'username': None, 'uploaded_at': 1744003882, 'text': 'image_07042025_07_30_45_10418.jpg', 'time': 1744011045.010418}, 'different') Unexpected type of data : ({'photo_id': 1350243564, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/2ee55748b861fb2f8f5a051559b62027.jpg', 'username': None, 'uploaded_at': 1744003983, 'text': 'image_07042025_07_30_56_10394.jpg', 'time': 1744011056.010394}, 'different') Unexpected type of data : ({'photo_id': 1350243569, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/efa819a362b5c8d807e01e1d79584ced.jpg', 'username': None, 'uploaded_at': 1744003983, 'text': 'image_07042025_07_31_05_9199.jpg', 'time': 1744011065.009199}, 'different') Unexpected type of data : ({'photo_id': 1350243573, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/1206338d96b1491b0858260338cb1d17.jpg', 'username': None, 'uploaded_at': 1744003983, 'text': 'image_07042025_07_31_15_10424.jpg', 'time': 1744011075.010424}, 'different') Unexpected type of data : ({'photo_id': 1350243579, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/9f59ac12c06e8407734fba501de794b2.jpg', 'username': None, 'uploaded_at': 1744003983, 'text': 'image_07042025_07_31_26_10438.jpg', 'time': 1744011086.010438}, 'different') * BIG TIME 1189.9999330043793 (924.0025644302368, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9341679, 0, 0, 0, 0.4289998374223709, 0.0384, 0.0028998146057128906, 1.9, 0.13099998211860658, -0.21499791502952575) on 90 1350243583 2025-04-07 07:31:35.009143 id_data : 495 **Unexpected type of data : ({'photo_id': 1350248201, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/698c03ac60217847832eb5db70361f1d.jpg', 'username': None, 'uploaded_at': 1744007163, 'text': 'image_07042025_08_23_55_10448.jpg', 'time': 1744014235.010448}, 'different') Unexpected type of data : ({'photo_id': 1350248207, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/05b10cce39711b0985e3cabbd8eff1bf.jpg', 'username': None, 'uploaded_at': 1744007163, 'text': 'image_07042025_08_24_06_10510.jpg', 'time': 1744014246.01051}, 'different') Unexpected type of data : ({'photo_id': 1350248212, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/46bc104c22abc75bed8e58eed8ece212.jpg', 'username': None, 'uploaded_at': 1744007163, 'text': 'image_07042025_08_24_15_9167.jpg', 'time': 1744014255.009167}, 'different') Unexpected type of data : ({'photo_id': 1350248216, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/f917387c8e242b1f39ac78710b7a2dea.jpg', 'username': None, 'uploaded_at': 1744007163, 'text': 'image_07042025_08_24_25_10501.jpg', 'time': 1744014265.010501}, 'different') Unexpected type of data : ({'photo_id': 1350248226, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/b76c06c1b2b18718fbfbdd16f5de9c4e.jpg', 'username': None, 'uploaded_at': 1744007163, 'text': 'image_07042025_08_24_36_10352.jpg', 'time': 1744014276.010352}, 'different') Unexpected type of data : ({'photo_id': 1350248232, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/99d1480ed9c4c72d38685d34b542b24c.jpg', 'username': None, 'uploaded_at': 1744007163, 'text': 'image_07042025_08_24_45_9229.jpg', 'time': 1744014285.009229}, 'different') Unexpected type of data : ({'photo_id': 1350248284, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/2398fe73dcc7605d138521b7043edc92.jpg', 'username': None, 'uploaded_at': 1744007223, 'text': 'image_07042025_08_24_55_10356.jpg', 'time': 1744014295.010356}, 'different') Unexpected type of data : ({'photo_id': 1350248288, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/4cbae8769559ceda8e9b8953e5aa4a64.jpg', 'username': None, 'uploaded_at': 1744007223, 'text': 'image_07042025_08_25_05_9395.jpg', 'time': 1744014305.009395}, 'different') Unexpected type of data : ({'photo_id': 1350248293, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/90c5f8f5dcfbd19d000119b11d7bd2a4.jpg', 'username': None, 'uploaded_at': 1744007223, 'text': 'image_07042025_08_25_15_10376.jpg', 'time': 1744014315.010376}, 'different') Unexpected type of data : ({'photo_id': 1350248298, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/ffa09414f3648de74d05bd5544f4b213.jpg', 'username': None, 'uploaded_at': 1744007223, 'text': 'image_07042025_08_25_25_10407.jpg', 'time': 1744014325.010407}, 'different') Unexpected type of data : ({'photo_id': 1350248303, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/39b8038142322dd98ef7cc97cf8e4cfd.jpg', 'username': None, 'uploaded_at': 1744007223, 'text': 'image_07042025_08_25_36_10330.jpg', 'time': 1744014336.01033}, 'different') Unexpected type of data : ({'photo_id': 1350248308, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/c3644514b4f10e181b75a364fdcc6255.jpg', 'username': None, 'uploaded_at': 1744007223, 'text': 'image_07042025_08_25_45_9148.jpg', 'time': 1744014345.009148}, 'different') Unexpected type of data : ({'photo_id': 1350248336, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/82ebcbd634177db7b2b07d23a61ee06f.jpg', 'username': None, 'uploaded_at': 1744007283, 'text': 'image_07042025_08_25_55_10347.jpg', 'time': 1744014355.010347}, 'different') Unexpected type of data : ({'photo_id': 1350248342, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/c9de596384fcee5e899fa9dc027a6a59.jpg', 'username': None, 'uploaded_at': 1744007283, 'text': 'image_07042025_08_26_05_9422.jpg', 'time': 1744014365.009422}, 'different') Unexpected type of data : ({'photo_id': 1350248349, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/132c9ad5852bcd141c5ba39cd4ec8be9.jpg', 'username': None, 'uploaded_at': 1744007283, 'text': 'image_07042025_08_26_15_10370.jpg', 'time': 1744014375.01037}, 'different') Unexpected type of data : ({'photo_id': 1350248355, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/d97b0d042034a5d1240c5ded6b8cad3a.jpg', 'username': None, 'uploaded_at': 1744007283, 'text': 'image_07042025_08_26_25_10344.jpg', 'time': 1744014385.010344}, 'different') Unexpected type of data : ({'photo_id': 1350248360, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/e09885e13be4c57e453e2d3e033a311a.jpg', 'username': None, 'uploaded_at': 1744007283, 'text': 'image_07042025_08_26_36_10358.jpg', 'time': 1744014396.010358}, 'different') Unexpected type of data : ({'photo_id': 1350248363, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/79d1a318dd9b5941c56726eb14a3c99e.jpg', 'username': None, 'uploaded_at': 1744007283, 'text': 'image_07042025_08_26_45_9176.jpg', 'time': 1744014405.009176}, 'different') Unexpected type of data : ({'photo_id': 1350248383, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/3a9fa57cc575da6497b99c7c635091ff.jpg', 'username': None, 'uploaded_at': 1744007343, 'text': 'image_07042025_08_26_55_10339.jpg', 'time': 1744014415.010339}, 'different') Unexpected type of data : ({'photo_id': 1350248443, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/58a3b9c1de1778f632f63d57ad9ec801.jpg', 'username': None, 'uploaded_at': 1744007343, 'text': 'image_07042025_08_27_06_10629.jpg', 'time': 1744014426.010629}, 'different') Unexpected type of data : ({'photo_id': 1350248528, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/5dcc93261c0d0895226fdecaba9f8765.jpg', 'username': None, 'uploaded_at': 1744007343, 'text': 'image_07042025_08_27_15_9098.jpg', 'time': 1744014435.009098}, 'different') Unexpected type of data : ({'photo_id': 1350248601, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/f0d7e69dd3b4052fe2dc87857eb7c45a.jpg', 'username': None, 'uploaded_at': 1744007343, 'text': 'image_07042025_08_27_25_10417.jpg', 'time': 1744014445.010417}, 'different') Unexpected type of data : ({'photo_id': 1350248713, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/863dc6d92c9c41bb939e3fc28e14b30f.jpg', 'username': None, 'uploaded_at': 1744007343, 'text': 'image_07042025_08_27_35_9345.jpg', 'time': 1744014455.009345}, 'different') Unexpected type of data : ({'photo_id': 1350248744, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/4/7/e133273aca2e17ed26f8d40c2df43db1.jpg', 'username': None, 'uploaded_at': 1744007343, 'text': 'image_07042025_08_27_45_10379.jpg', 'time': 1744014465.010379}, 'different') Count Time bigger than 30s : 6 #Number Photos for regression : {'07042025': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 8.998727798461914, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 30.000152111053467, 2107751015: 166.99780082702637, 2107751016: 32.00092697143555, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 27.998245239257812, 2107751015: 292.0022361278534, 2107751016: 78.99954390525818, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 0, 2107751015: 302.0024290084839, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 10.001338958740234, 2107751015: 20.002435207366943, 2107751016: 10.000211000442505, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 11.000195980072021, 2107751015: 482.001225233078, 2107751016: 21.000932931900024, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 41.000412940979004, 2107751016: 8.99875807762146, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 0, 2107751015: 389.9977250099182, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 641.0010249614716, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 4108.002913713455, 2107751016: 0, 2107751017: 0}}} 07042025|aluminium, 05102018_papier_non_papier_dense:0 07042025|aluminium, 05102018_papier_non_papier_peu_dense:0 07042025|aluminium, 05102018_papier_non_papier_presque_vide:8.998727798461914 07042025|aluminium, 05102018_papier_non_papier_tres_dense:0 07042025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 07042025|ela, 05102018_papier_non_papier_dense:0 07042025|ela, 05102018_papier_non_papier_peu_dense:0 07042025|ela, 05102018_papier_non_papier_presque_vide:0 07042025|ela, 05102018_papier_non_papier_tres_dense:0 07042025|ela, 05102018_papier_non_papier_tres_peu_dense:0 07042025|emr, 05102018_papier_non_papier_dense:0 07042025|emr, 05102018_papier_non_papier_peu_dense:30.000152111053467 07042025|emr, 05102018_papier_non_papier_presque_vide:166.99780082702637 07042025|emr, 05102018_papier_non_papier_tres_dense:32.00092697143555 07042025|emr, 05102018_papier_non_papier_tres_peu_dense:0 07042025|film_pedb, 05102018_papier_non_papier_dense:0 07042025|film_pedb, 05102018_papier_non_papier_peu_dense:27.998245239257812 07042025|film_pedb, 05102018_papier_non_papier_presque_vide:292.0022361278534 07042025|film_pedb, 05102018_papier_non_papier_tres_dense:78.99954390525818 07042025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 07042025|flux_dev, 05102018_papier_non_papier_dense:0 07042025|flux_dev, 05102018_papier_non_papier_peu_dense:0 07042025|flux_dev, 05102018_papier_non_papier_presque_vide:302.0024290084839 07042025|flux_dev, 05102018_papier_non_papier_tres_dense:0 07042025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 07042025|jrm, 05102018_papier_non_papier_dense:0 07042025|jrm, 05102018_papier_non_papier_peu_dense:10.001338958740234 07042025|jrm, 05102018_papier_non_papier_presque_vide:20.002435207366943 07042025|jrm, 05102018_papier_non_papier_tres_dense:10.000211000442505 07042025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 07042025|pcm, 05102018_papier_non_papier_dense:0 07042025|pcm, 05102018_papier_non_papier_peu_dense:11.000195980072021 07042025|pcm, 05102018_papier_non_papier_presque_vide:482.001225233078 07042025|pcm, 05102018_papier_non_papier_tres_dense:21.000932931900024 07042025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 07042025|pcnc, 05102018_papier_non_papier_dense:0 07042025|pcnc, 05102018_papier_non_papier_peu_dense:0 07042025|pcnc, 05102018_papier_non_papier_presque_vide:41.000412940979004 07042025|pcnc, 05102018_papier_non_papier_tres_dense:8.99875807762146 07042025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 07042025|pehd_pp, 05102018_papier_non_papier_dense:0 07042025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 07042025|pehd_pp, 05102018_papier_non_papier_presque_vide:389.9977250099182 07042025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 07042025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 07042025|pet_clair, 05102018_papier_non_papier_dense:0 07042025|pet_clair, 05102018_papier_non_papier_peu_dense:0 07042025|pet_clair, 05102018_papier_non_papier_presque_vide:641.0010249614716 07042025|pet_clair, 05102018_papier_non_papier_tres_dense:0 07042025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 07042025|refus, 05102018_papier_non_papier_dense:0 07042025|refus, 05102018_papier_non_papier_peu_dense:0 07042025|refus, 05102018_papier_non_papier_presque_vide:0 07042025|refus, 05102018_papier_non_papier_tres_dense:0 07042025|refus, 05102018_papier_non_papier_tres_peu_dense:0 07042025|tapis_vide, 05102018_papier_non_papier_dense:0 07042025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 07042025|tapis_vide, 05102018_papier_non_papier_presque_vide:4108.002913713455 07042025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 07042025|tapis_vide, 05102018_papier_non_papier_tres_peu_dense:0 #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 ! 07042025_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 1 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_aluminium_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092612 with name like 07042025_aluminium_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : ela 0 Number amount portfolio for this type of dechet : emr 23 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_emr_05102018_papier_non_papier_peu_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092614 with name like 07042025_emr_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_emr_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092616 with name like 07042025_emr_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_emr_05102018_papier_non_papier_tres_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092619 with name like 07042025_emr_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : film_pedb 36 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_film_pedb_05102018_papier_non_papier_peu_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092621 with name like 07042025_film_pedb_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_film_pedb_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092623 with name like 07042025_film_pedb_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_film_pedb_05102018_papier_non_papier_tres_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092625 with name like 07042025_film_pedb_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : flux_dev 28 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_flux_dev_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092627 with name like 07042025_flux_dev_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : jrm 4 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_jrm_05102018_papier_non_papier_peu_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092628 with name like 07042025_jrm_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_jrm_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092629 with name like 07042025_jrm_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_jrm_05102018_papier_non_papier_tres_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092630 with name like 07042025_jrm_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : pcm 48 Number amount portfolio for this type of dechet : pcnc 4 Number amount portfolio for this type of dechet : pehd_pp 37 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_pehd_pp_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092631 with name like 07042025_pehd_pp_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : pet_clair 61 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_pet_clair_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092632 with name like 07042025_pet_clair_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : refus 0 Number amount portfolio for this type of dechet : tapis_vide 379 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=07042025_tapis_vide_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 22092633 with name like 07042025_tapis_vide_05102018_papier_non_papier_presque_vide NUMBER BATCH : 14 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['emr', 'gm', 'jrm', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev', 'aluminium', 'tapis_vide', 'refus', 'emr', 'gm'] 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 ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! result_one_balle_Type_pet_clair:{'day': '07042025', 'map_nb_amount': {0: 0, 1: 14, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 131.00059723854065, 2: 0, 3: 0, 4: 0}, 'duration': 139.99953317642212, 'nb_balles_papier': 0.13200059723854066, 'begin_time_port': 'image_07042025_06_00_15_010836m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.13200059723854066 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 ! result_one_balle_Type_flux_dev:{'day': '07042025', 'map_nb_amount': {0: 0, 1: 40, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 428.9986310005188, 2: 0, 3: 0, 4: 0}, 'duration': 1719.9988331794739, 'nb_balles_papier': 0.4289986310005189, 'begin_time_port': 'image_07042025_06_20_55_010419m0.jpg 0.01000105595588684 for time 10.00105595588684, id_amount 2 this amount prod time diff : 0.01000105595588684'} Production hashtag (incorrect ponderation at 20-10-18) : 0.4289986310005189 We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! 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 ! result_one_balle_Type_emr:{'day': '07042025', 'map_nb_amount': {0: 2, 1: 17, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 19.998809099197388, 1: 170.00453090667725, 2: 40.99866795539856, 3: 0, 4: 0}, 'duration': 239.00004601478577, 'nb_balles_papier': 0.2310020079612732, 'begin_time_port': 'image_07042025_06_58_56_010341m0.jpg 0.010999995946884155 for time 10.999995946884155, id_amount 2 this amount prod time diff : 0.010999995946884155'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2310020079612732 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '07042025', 'map_nb_amount': {0: 2, 1: 17, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 19.998809099197388, 1: 170.00453090667725, 2: 40.99866795539856, 3: 0, 4: 0}, 'duration': 239.00004601478577, 'nb_balles_papier': 0.2310020079612732, 'begin_time_port': 'image_07042025_06_58_56_010341m0.jpg 0.010999995946884155 for time 10.999995946884155, id_amount 2 this amount prod time diff : 0.010999995946884155'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2310020079612732 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 ! hashtag non trouvé ! hashtag non trouvé ! result_one_balle_Type_pehd_pp:{'day': '07042025', 'map_nb_amount': {0: 0, 1: 13, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 130.99998211860657, 2: 0, 3: 0, 4: 0}, 'duration': 128.99874901771545, 'nb_balles_papier': 0.13099998211860658, 'begin_time_port': 'image_07042025_07_09_36_010461m0.jpg 0.01100000810623169 for time 11.00000810623169, id_amount 2 this amount prod time diff : 0.01100000810623169'} Production hashtag (incorrect ponderation at 20-10-18) : 0.13099998211860658 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 ! result_one_balle_Type_film_pedb:{'day': '07042025', 'map_nb_amount': {0: 3, 1: 23, 2: 7, 3: 0, 4: 0}, 'map_time_amount': {0: 27.998245239257812, 1: 263.00187611579895, 2: 78.99954390525818, 3: 0, 4: 0}, 'duration': 408.9987380504608, 'nb_balles_papier': 0.3699996652603149, 'begin_time_port': 'image_07042025_07_33_46_10406.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.3699996652603149 We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! 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 ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_gm:{'day': '07042025', 'map_nb_amount': {0: 0, 1: 29, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 309.00090980529785, 2: 10.00091004371643, 3: 0, 4: 0}, 'duration': 340.00004482269287, 'nb_balles_papier': 0.31900181984901427, 'begin_time_port': 'image_07042025_07_44_35_9139.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.31900181984901427 We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '07042025', 'map_nb_amount': {0: 1, 1: 4, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 10.001338958740234, 1: 40.998603105545044, 2: 0, 3: 0, 4: 0}, 'duration': 40.99984312057495, 'nb_balles_papier': 0.05099994206428528, 'begin_time_port': 'image_07042025_07_54_45_10443.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.05099994206428528 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '07042025', 'map_nb_amount': {0: 1, 1: 4, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 10.001338958740234, 1: 40.998603105545044, 2: 0, 3: 0, 4: 0}, 'duration': 40.99984312057495, 'nb_balles_papier': 0.05099994206428528, 'begin_time_port': 'image_07042025_07_54_45_10443.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.05099994206428528 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 ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_gm:{'day': '07042025', 'map_nb_amount': {0: 1, 1: 7, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 11.000195980072021, 1: 76.99732995033264, 2: 21.001250982284546, 3: 0, 4: 0}, 'duration': 100.00001001358032, 'nb_balles_papier': 0.10899877691268921, 'begin_time_port': 'image_07042025_07_55_35_9053.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.10899877691268921 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 ! hashtag non trouvé ! hashtag non trouvé ! result_one_balle_Type_pehd_pp:{'day': '07042025', 'map_nb_amount': {0: 0, 1: 20, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 219.99901580810547, 2: 0, 3: 0, 4: 0}, 'duration': 220.00144004821777, 'nb_balles_papier': 0.2199990158081055, 'begin_time_port': 'image_07042025_08_04_25_9184.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2199990158081055 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 ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! result_one_balle_Type_pet_clair:{'day': '07042025', 'map_nb_amount': {0: 0, 1: 49, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 520.001702785492, 2: 0, 3: 0, 4: 0}, 'duration': 569.9988520145416, 'nb_balles_papier': 0.5200017027854921, 'begin_time_port': 'image_07042025_08_13_45_10329.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.5200017027854921 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We have rejected 6 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 12 list_same_port_ids : [22090102] find same portfolio which already exist 22090102 , we will use it list_same_port_ids : [22090342] find same portfolio which already exist 22090342 , we will use it list_same_port_ids : [22090343] find same portfolio which already exist 22090343 , we will use it list_same_port_ids : [22090343] find same portfolio which already exist 22090343 , we will use it list_same_port_ids : [22090344] find same portfolio which already exist 22090344 , we will use it list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=film_pedb_diff_batch__07042025_07_33_46_010406&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=gm_diff_batch__07042025_07_44_35_009139&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=emr_diff_batch__07042025_07_54_45_010443&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [22092636] find same portfolio which already exist 22092636 , we will use it list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=gm_diff_batch__07042025_07_55_35_009053&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=pehd_pp_diff_batch__07042025_08_04_25_009184&access_token=e7e3b500bcaff4304bc4fea92faa736f list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=pet_clair_diff_batch__07042025_08_13_45_010329&access_token=e7e3b500bcaff4304bc4fea92faa736f # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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 ! 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`=22090102 AND mptpi.`type`=3327 To do Qualite : 0.5342345738919991 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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 ! 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`=22090342 AND mptpi.`type`=4200 To do Qualite : 0.05260472954566259 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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 ! 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`=22090343 AND mptpi.`type`=4207 To do Qualite : 0.05260472954566259 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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 ! 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`=22090343 AND mptpi.`type`=4207 To do Qualite : 0.05095498090059905 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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 ! 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`=22090344 AND mptpi.`type`=4211 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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 ! 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`=22092634 AND mptpi.`type`=4461 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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 ! 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`=22092635 AND mptpi.`type`=4209 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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 ! 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`=22092636 AND mptpi.`type`=4207 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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 ! 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`=22092636 AND mptpi.`type`=4207 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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 ! 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`=22092637 AND mptpi.`type`=4209 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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 ! 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`=22092638 AND mptpi.`type`=4211 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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 ! 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`=22092639 AND mptpi.`type`=3327 To do elapsed_time : count_nb_balles_and_create_portfolio 36.562654972076416 # DISPLAY ALL COLLECTED DATA : {'07042025': {'nb_upload': 819, 'nb_taggue_class': 642, 'nb_taggue_densite': 642, 'nb_descriptors': 410, 'number_port': 14, 'count_photo_in_port': 243, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 32, 'nb_portfolios': 4}, 'film_pedb': {'nb_photos': 33, 'nb_portfolios': 1}, 'flux_dev': {'nb_photos': 40, 'nb_portfolios': 1}, 'jrm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcm': {'nb_photos': 42, 'nb_portfolios': 4}, 'pcnc': {'nb_photos': 0, 'nb_portfolios': 0}, 'pehd_pp': {'nb_photos': 33, 'nb_portfolios': 2}, 'pet_clair': {'nb_photos': 63, 'nb_portfolios': 2}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1350248744, 1350248713, 1350248601, 1350248528, 1350248443, 1350248383, 1350248363, 1350248360, 1350248355, 1350248349, 1350248342, 1350248336, 1350248308, 1350248303, 1350248298, 1350248293, 1350248288, 1350248284, 1350248232, 1350248226, 1350248216, 1350248212, 1350248207, 1350248201, 1350248142, 1350248137, 1350248130, 1350248125, 1350248122, 1350248119, 1350248112, 1350248050, 1350248041, 1350248036, 1350248031, 1350247940, 1350247937, 1350247931, 1350247927, 1350247923, 1350247920, 1350247910, 1350247903, 1350247899, 1350247896, 1350247890, 1350247886, 1350247835, 1350247830, 1350247823, 1350247815, 1350247800, 1350247796, 1350247749, 1350247746, 1350247724, 1350247720, 1350247653, 1350247650, 1350247643, 1350247634, 1350247627, 1350247622, 1350247615, 1350247612, 1350247608, 1350247604, 1350247589, 1350247574, 1350247566, 1350247561, 1350247556, 1350247553, 1350247550, 1350247460, 1350247455, 1350247450, 1350247445, 1350247442, 1350247437, 1350247405, 1350247395, 1350247380, 1350247376, 1350247372, 1350247370, 1350247327, 1350247323, 1350247317, 1350247314, 1350247309, 1350247307, 1350247299, 1350247296, 1350247294, 1350247291, 1350247286, 1350247254, 1350247191, 1350247173] Looping around the photos to save general results len do output : 1 /22087724Didn'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 ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350248744', None, None, None, None, None, '2727897') 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None, None, '2727897') ('4891', '22087724', '1350247550', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247460', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247455', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247450', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247445', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247442', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247437', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247405', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247395', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247380', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247376', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247372', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247370', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247327', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247323', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247317', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247314', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247309', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247307', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247299', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247296', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247294', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247291', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247286', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247254', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247191', None, None, None, None, None, '2727897') ('4891', None, None, None, None, None, None, None, '2727897') ('4891', '22087724', '1350247173', None, None, None, None, None, '2727897') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.025614261627197266 save_final save missing photos in datou_result : time spend for datou_step_exec : 56.5580370426178 time spend to save output : 0.026858091354370117 total time spend for step 1 : 56.58489513397217 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 1 set_done_treatment 3.60user 1.03system 1:01.60elapsed 7%CPU (0avgtext+0avgdata 107820maxresident)k 2368inputs+3824outputs (6major+50384minor)pagefaults 0swaps