python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4323' -s datou_current_4323 -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 : 3052358 load datou : 4323 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better 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 we have a portfolio with more photos than limit : 1318>1000 please execute split_portfolio.py -i 24815594 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4323, datou_cur_ids : ['3269934'] with mtr_portfolio_ids : ['24815594'] and first list_photo_ids : [] new path : /proc/3052358/ 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 : 0.02357792854309082 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Jul 11 09:55:28 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec 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': 3847, 'mtr_user_id': 31, 'name': 'learn_MM_generique_050224', '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': '13096157,13096155,13096163,13096159,13301956,13095886,13096162,13096160,13358264,13096158,5515868,13276803', 'photo_hashtag_type': 4932, 'photo_desc_type': 6032, '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'}] (('00', 698), ('01', 68), ('02', 85), ('03', 107), ('04', 360)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 1305} 11072025 24815594 Nombre de photos uploadées : 1318 / 23040 (5%) 11072025 24815594 Nombre de photos taguées (types de déchets): 1305 / 1318 (99%) 11072025 24815594 Nombre de photos taguées (volume) : 1305 / 1318 (99%) elapsed_time : load_data_split_time_score 2.6226043701171875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0005066394805908203 ????????????? elapsed_time : fill_and_build_computed_from_old_data 0.07068920135498047 elapsed_time : insert_dashboard_record_day_entry 0.02354574203491211 Creating list_photo_total elapsed_time : select_descriptors 2.9214589595794678 11072025 24815594 Nombre de photos avec descriptors (type 6032) : 64 / 77 (83%) Missing descriptors for photos 0 and 1371530554 0:00:00|ON:Missing descriptors for photos 1371530554 and 1371530738 Missing descriptors for photos 1371530738 and 1371531190 Missing descriptors for photos 1371531190 and 1371531328 Missing descriptors for photos 1371531328 and 1371531439 Missing descriptors for photos 1371531439 and 1371531572 Missing descriptors for photos 1371531572 and 1371531918 Missing descriptors for photos 1371531918 and 1371532297 Missing descriptors for photos 1371532297 and 1371532485 Missing descriptors for photos 1371532485 and 1371532768 Missing descriptors for photos 1371532768 and 1371533188 Missing descriptors for photos 1371533188 and 1371533198 Missing descriptors for 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for photos 1371552774 and 1371552889 Missing descriptors for photos 1371552889 and 1371552996 Missing descriptors for photos 1371552996 and 1371553059 Missing descriptors for photos 1371553059 and 1371553289 Missing descriptors for photos 1371553289 and 1371553290 Missing descriptors for photos 1371553290 and 1371553292 Missing descriptors for photos 1371553292 and 1371553496 Missing descriptors for photos 1371553496 and 1371553829 Missing descriptors for photos 1371553829 and 1371554054 Missing descriptors for photos 1371554054 and 1371554056 Missing descriptors for photos 1371554056 and 1371554070 Missing descriptors for photos 1371554070 and 1371554148 Missing descriptors for photos 1371554148 and 1371554322 Missing descriptors for photos 1371554322 and 1371554370 Missing descriptors for photos 1371554370 and 1371554623 Missing descriptors for photos 1371554623 and 1371554642 Missing descriptors for photos 1371554642 and 1371555103 Missing descriptors for photos 1371555103 and 1371555586 Missing descriptors for photos 1371555586 and 1371555591 Missing descriptors for photos 1371555591 and 1371555894 Missing descriptors for photos 1371555894 and 1371556025 Missing descriptors for photos 1371556025 and 1371556252 Missing descriptors for photos 1371556252 and 1371556350 Missing descriptors for photos 1371556350 and 1371556591 Missing descriptors for photos 1371556591 and 1371556725 Missing descriptors for photos 1371556725 and 1371556866 Missing descriptors for photos 1371556866 and 1371557952 Missing descriptors for photos 1371557952 and 1371558198 Missing descriptors for photos 1371558198 and 1371558365 Missing descriptors for photos 1371558365 and 1371558535 Missing descriptors for photos 1371558535 and 1371558727 Missing descriptors for photos 1371558727 and 1371558830 Missing descriptors for photos 1371558830 and 1371559161 Missing descriptors for photos 1371559161 and 1371559424 Missing descriptors for photos 1371559424 and 1371560061 Missing descriptors for photos 1371560061 and 1371560262 Missing descriptors for photos 1371560262 and 1371560542 Missing descriptors for photos 1371560542 and 1371560798 Missing descriptors for photos 1371560798 and 1371560903 Missing descriptors for photos 1371560903 and 1371560950 Missing descriptors for photos 1371560950 and 1371561086 Missing descriptors for photos 1371561086 and 1371561471 Missing descriptors for photos 1371561471 and 1371561982 Missing descriptors for photos 1371561982 and 1371562311 Missing descriptors for photos 1371562311 and 1371561838 Missing descriptors for photos 1371561838 and 1371562637 Missing descriptors for photos 1371562637 and 1371548499 Missing descriptors for photos 1371548499 and 1371548567 Missing descriptors for photos 1371548567 and 1371548568 Missing descriptors for photos 1371548568 and 1371548822 Missing descriptors for photos 1371548822 and 1371549275 Missing descriptors for photos 1371549275 and 1371549505 Missing descriptors for photos 1371549505 and 1371549549 Missing descriptors for photos 1371549549 and 1371549805 Missing descriptors for photos 1371549805 and 1371550037 Missing descriptors for photos 1371550037 and 1371550115 Missing descriptors for photos 1371550115 and 1371550393 Missing descriptors for photos 1371550393 and 1371550480 Missing descriptors for photos 1371550480 and 1371550725 Missing descriptors for photos 1371550725 and 1371550881 Missing descriptors for photos 1371550881 and 1371551030 Missing descriptors for photos 1371551030 and 1371551228 Missing descriptors for photos 1371551228 and 1371551315 Missing descriptors for photos 1371551315 and 1371551462 Missing descriptors for photos 1371551462 and 1371551659 Missing descriptors for photos 1371551659 and 1371551787 Missing descriptors for photos 1371551787 and 1371552050 Missing descriptors for photos 1371552050 and 1371552352 Missing descriptors for photos 1371552352 and 1371552432 Missing descriptors for photos 1371552432 and 1371552442 Missing descriptors for photos 1371552442 and 1371552580 Missing descriptors for photos 1371552580 and 1371552638 Missing descriptors for photos 1371552638 and 1371552701 Missing descriptors for photos 1371552701 and 1371552802 Missing descriptors for photos 1371552802 and 1371552887 Missing descriptors for photos 1371552887 and 1371552939 Missing descriptors for photos 1371552939 and 1371553124 Missing descriptors for photos 1371553124 and 1371553194 Missing descriptors for photos 1371553194 and 1371553503 Missing descriptors for photos 1371553503 and 1371553642 Missing descriptors for photos 1371553642 and 1371553648 Missing descriptors for photos 1371553648 and 1371553699 Missing descriptors for photos 1371553699 and 1371553706 Missing descriptors for photos 1371553706 and 1371553902 Missing descriptors for photos 1371553902 and 1371553904 Missing descriptors for photos 1371553904 and 1371554071 Missing descriptors for photos 1371554071 and 1371554201 Missing descriptors for photos 1371554201 and 1371554628 Missing descriptors for photos 1371554628 and 1371554714 Missing descriptors for photos 1371554714 and 1371555109 Missing descriptors for photos 1371555109 and 1371555111 Missing descriptors for photos 1371555111 and 1371555488 Missing descriptors for photos 1371555488 and 1371555588 Missing descriptors for photos 1371555588 and 1371555768 Missing descriptors for photos 1371555768 and 1371555782 Missing descriptors for photos 1371555782 and 1371555896 Missing descriptors for photos 1371555896 and 1371555897 Missing descriptors for photos 1371555897 and 1371556145 Missing descriptors for photos 1371556145 and 1371556146 Missing descriptors for photos 1371556146 and 1371556306 Missing descriptors for photos 1371556306 and 1371556343 Missing descriptors for photos 1371556343 and 1371557053 Missing descriptors for photos 1371557053 and 1371557360 Missing descriptors for photos 1371557360 and 1371557540 Missing descriptors for photos 1371557540 and 1371557566 Missing descriptors for photos 1371557566 and 1371557854 Missing descriptors for photos 1371557854 and 1371558022 Missing descriptors for photos 1371558022 and 1371558196 Missing descriptors for photos 1371558196 and 1371558366 Missing descriptors for photos 1371558366 and 1371558448 Missing descriptors for photos 1371558448 and 1371558792 Missing descriptors for photos 1371558792 and 1371558799 Missing descriptors for photos 1371558799 and 1371559009 Missing descriptors for photos 1371559009 and 1371559159 Missing descriptors for photos 1371559159 and 1371559648 Missing descriptors for photos 1371559648 and 1371559709 Missing descriptors for photos 1371559709 and 1371559856 Missing descriptors for photos 1371559856 and 1371559945 Missing descriptors for photos 1371559945 and 1371560121 Missing descriptors for photos 1371560121 and 1371560390 Missing descriptors for photos 1371560390 and 1371560395 Missing descriptors for photos 1371560395 and 1371560548 Missing descriptors for photos 1371560548 and 1371560606 Missing descriptors for photos 1371560606 and 1371560770 Missing descriptors for photos 1371560770 and 1371561026 Missing descriptors for photos 1371561026 and 1371561295 Missing descriptors for photos 1371561295 and 1371561480 Missing descriptors for photos 1371561480 and 1371561978 Missing descriptors for photos 1371561978 and 1371562241 Missing descriptors for photos 1371562241 and 1371561436 Missing descriptors for photos 1371561436 and 1371562242 Missing descriptors for photos 1371562242 and 1371562643 Missing descriptors for photos 1371562643 and 1371548116 Missing descriptors for photos 1371548116 and 1371548161 Missing descriptors for photos 1371548161 and 1371548196 Missing descriptors for photos 1371548196 and 1371548408 Missing descriptors for photos 1371548408 and 1371548498 Missing descriptors for photos 1371548498 and 1371548652 Missing descriptors for photos 1371548652 and 1371548799 Missing descriptors for photos 1371548799 and 1371548971 Missing descriptors for photos 1371548971 and 1371549133 Missing descriptors for photos 1371549133 and 1371549136 Missing descriptors for photos 1371549136 and 1371549198 Missing descriptors for photos 1371549198 and 1371549386 Missing descriptors for photos 1371549386 and 1371549581 Missing descriptors for photos 1371549581 and 1371549707 Missing descriptors for photos 1371549707 and 1371549784 Missing descriptors for photos 1371549784 and 1371549999 Missing descriptors for photos 1371549999 and 1371550050 Missing descriptors for photos 1371550050 and 1371550053 Missing descriptors for photos 1371550053 and 1371550295 Missing descriptors for photos 1371550295 and 1371550538 Missing descriptors for photos 1371550538 and 1371550644 Missing descriptors for photos 1371550644 and 1371550724 Missing descriptors for photos 1371550724 and 1371550810 Missing descriptors for photos 1371550810 and 1371550816 Missing descriptors for photos 1371550816 and 1371550882 Missing descriptors for photos 1371550882 and 1371550951 Missing descriptors for photos 1371550951 and 1371551029 Missing descriptors for photos 1371551029 and 1371551035 Missing descriptors for photos 1371551035 and 1371551078 Missing descriptors for photos 1371551078 and 1371551312 Missing descriptors for photos 1371551312 and 1371551464 Missing descriptors for photos 1371551464 and 1371551657 Missing descriptors for photos 1371551657 and 1371551724 Missing descriptors for photos 1371551724 and 1371551992 Missing descriptors for photos 1371551992 and 1371552068 Missing descriptors for photos 1371552068 and 1371552127 Missing descriptors for photos 1371552127 and 1371552193 Missing descriptors for photos 1371552193 and 1371552231 Missing descriptors for photos 1371552231 and 1371552282 Missing descriptors for photos 1371552282 and 1371552324 Missing descriptors for photos 1371552324 and 1371552444 Missing descriptors for photos 1371552444 and 1371552576 Missing descriptors for photos 1371552576 and 1371552639 Missing descriptors for photos 1371552639 and 1371552703 Missing descriptors for photos 1371552703 and 1371552704 Missing descriptors for photos 1371552704 and 1371552773 Missing descriptors for photos 1371552773 and 1371552776 Missing descriptors for photos 1371552776 and 1371552801 Missing descriptors for photos 1371552801 and 1371553072 Missing descriptors for photos 1371553072 and 1371553268 Missing descriptors for photos 1371553268 and 1371553352 Missing descriptors for photos 1371553352 and 1371553353 Missing descriptors for photos 1371553353 and 1371553398 Missing descriptors for photos 1371553398 and 1371553467 Missing descriptors for photos 1371553467 and 1371553470 Missing descriptors for photos 1371553470 and 1371553572 Missing descriptors for photos 1371553572 and 1371553644 Missing descriptors for photos 1371553644 and 1371553708 Missing descriptors for photos 1371553708 and 1371553763 Missing descriptors for photos 1371553763 and 1371554203 Missing descriptors for photos 1371554203 and 1371554317 Missing descriptors for photos 1371554317 and 1371554555 Missing descriptors for photos 1371554555 and 1371554625 Missing descriptors for photos 1371554625 and 1371554939 Missing descriptors for photos 1371554939 and 1371555021 Missing descriptors for photos 1371555021 and 1371555102 Missing descriptors for photos 1371555102 and 1371555271 Missing descriptors for photos 1371555271 and 1371555304 Missing descriptors for photos 1371555304 and 1371555355 Missing descriptors for photos 1371555355 and 1371555532 Missing descriptors for photos 1371555532 and 1371555534 Missing descriptors for photos 1371555534 and 1371555686 Missing descriptors for photos 1371555686 and 1371555766 Missing descriptors for photos 1371555766 and 1371555787 Missing descriptors for photos 1371555787 and 1371555893 Missing descriptors for photos 1371555893 and 1371556535 Missing descriptors for photos 1371556535 and 1371556888 Missing descriptors for photos 1371556888 and 1371557142 Missing descriptors for photos 1371557142 and 1371557197 Missing descriptors for photos 1371557197 and 1371557391 Missing descriptors for photos 1371557391 and 1371557529 Missing descriptors for photos 1371557529 and 1371557648 Missing descriptors for photos 1371557648 and 1371557851 Missing descriptors for photos 1371557851 and 1371558025 Missing descriptors for photos 1371558025 and 1371558056 Missing descriptors for photos 1371558056 and 1371558452 Missing descriptors for photos 1371558452 and 1371558453 Missing descriptors for photos 1371558453 and 1371558685 Missing descriptors for photos 1371558685 and 1371558749 Missing descriptors for photos 1371558749 and 1371558751 Missing descriptors for photos 1371558751 and 1371558829 Missing descriptors for photos 1371558829 and 1371558983 Missing descriptors for photos 1371558983 and 1371559269 Missing descriptors for photos 1371559269 and 1371559316 Missing descriptors for photos 1371559316 and 1371559346 Missing descriptors for photos 1371559346 and 1371559348 Missing descriptors for photos 1371559348 and 1371559535 Missing descriptors for photos 1371559535 and 1371559569 Missing descriptors for photos 1371559569 and 1371559704 Missing descriptors for photos 1371559704 and 1371559932 Missing descriptors for photos 1371559932 and 1371560000 Missing descriptors for photos 1371560000 and 1371560120 Missing descriptors for photos 1371560120 and 1371560188 Missing descriptors for photos 1371560188 and 1371560342 Missing descriptors for photos 1371560342 and 1371560523 Missing descriptors for photos 1371560523 and 1371560547 Missing descriptors for photos 1371560547 and 1371560708 Missing descriptors for photos 1371560708 and 1371560815 Missing descriptors for photos 1371560815 and 1371560850 Missing descriptors for photos 1371560850 and 1371560902 Missing descriptors for photos 1371560902 and 1371560982 Missing descriptors for photos 1371560982 and 1371561379 Missing descriptors for photos 1371561379 and 1371561472 Missing descriptors for photos 1371561472 and 1371561840 Missing descriptors for photos 1371561840 and 1371562079 Missing descriptors for photos 1371562079 and 1371562484 Missing descriptors for photos 1371562484 and 1371561031 Missing descriptors for photos 1371561031 and 1371561772 Missing descriptors for photos 1371561772 and 1371562243 Missing descriptors for photos 1371562243 and 1371562748 11072025 Removing 3 photos because of the 'same image' condition Total on : 9310.000149 list_time_on Total off : 30.999832 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 1318 time used for this insertion : 0.3890953063964844 photos_removed : len 3 elapsed_time : remove_photo_duplicate 0.5007891654968262 Creating list_photo_total XXXWarning 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 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limit of interval, we ignore the result of 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 ! 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max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .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 : 0 hashtag : 616987804 photo_id =1371531847 : emr ...Change port : 3 hashtag : 2107755846 photo_id =1371531567 : 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 .Change port : 1 hashtag : 1284539308 photo_id =1371535226 : pcnc ......Change port : 6 hashtag : 2107760237 photo_id =1371534458 : 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 .Change port : 3 hashtag : 616987804 photo_id =1371536297 : emr .....can't find max_score_info .Change port : 5 hashtag : 2107760239 photo_id =1371533625 : 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 .Change port : 6 hashtag : 2107755846 photo_id =1371534623 : 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 .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .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 : 616987804 photo_id =1371539882 : emr ......can't find max_score_info .Change port : 6 hashtag : 2107760238 photo_id =1371540584 : 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 .Change port : 6 hashtag : 2107755846 photo_id =1371541673 : 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 .Change port : 4 hashtag : 616987804 photo_id =1371542273 : emr ......Change port : 6 hashtag : 2107760237 photo_id =1371542811 : 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 .Change port : 6 hashtag : 1284539308 photo_id =1371543371 : pcnc ......Change port : 6 hashtag : 2107760239 photo_id =1371541454 : 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 .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info 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.can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .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 : 1318 Number of lists : 15 counter photos in port : 61 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 20 photos in 4 portfolios ! hashtag : film_pedb(2107760237) : 9 photos in 2 portfolios ! hashtag : flux_dev(2107760238) : 6 photos in 1 portfolios ! hashtag : jrm(495916461) : 0 photos in 0 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 12 photos in 2 portfolios ! hashtag : pehd_pp(2107760239) : 8 photos in 2 portfolios ! hashtag : pet_clair(2107755846) : 6 photos in 3 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 1 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.039492130279541016 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 4.291534423828125e-06 today str has not a value , we define it as the date of the first image todaystr_first : 11072025 attention , prev_timestamp is 0 , we do nothing oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1371560648, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/ed37d59968d79115a7a40f0fc240f4a0.jpg', 'username': None, 'uploaded_at': 1752217260, 'text': 'image_11072025_00_00_14_10077.jpg', 'time': 1752192014.010077}, 'different') *oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1371561029, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/b7c55fce33380179e35e5dfe68396e2b.jpg', 'username': None, 'uploaded_at': 1752217260, 'text': 'image_11072025_00_01_14_10062.jpg', 'time': 1752192074.010062}, 'different') ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1371561486, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/8d1a985a3e7f950cc830f2455a507282.jpg', 'username': None, 'uploaded_at': 1752217260, 'text': 'image_11072025_00_01_28_10018.jpg', 'time': 1752192088.010018}, 'different') ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1371561906, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/75d50338756bf39d338e0b5f3b9c5d76.jpg', 'username': None, 'uploaded_at': 1752217260, 'text': 'image_11072025_00_01_35_10328.jpg', 'time': 1752192095.010328}, 'different') oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1371562308, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/e2686a53bb50f7fca73ac6203ad41250.jpg', 'username': None, 'uploaded_at': 1752217260, 'text': 'image_11072025_00_01_45_9997.jpg', 'time': 1752192105.009997}, 'different') ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1371562744, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/10fb8de0266c6a4ddbaab873f481b0c2.jpg', 'username': None, 'uploaded_at': 1752217260, 'text': 'image_11072025_00_01_55_10002.jpg', 'time': 1752192115.010002}, 'different') *** BIG TIME 658.9990100860596 (20.00007915496826, 2, 0, 0, 0.45625308, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.057100001096725465, 0.0649, 0.0, 1.9, 0.020000086069107054, -0.016666713158289593) on 3 1371531567 2025-07-11 00:20:44.009098 id_data : 649 *** BIG TIME 279.999853849411 (20.00007915496826, 2, 0, 0, 0.45625308, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.057100001096725465, 0.0649, 0.0, 1.9, 0.020000086069107054, -0.016666713158289593) on 3 1371535226 2025-07-11 00:27:55.009991 id_data : 656 * BIG TIME 508.9989740848541 (70.00015711784363, 7, 0, 0, 0, 0, 0, 0, 0, 0.56861115, 0, 0, 0, 0, 0.17109999480247498, 0.0662, 0.0, 2.9, 0.05000003409385681, -0.06666661818822225) on 8 1371534458 2025-07-11 00:37:14.008999 id_data : 662 *** BIG TIME 421.00009298324585 (259.00028133392334, 2, 0, 0, 0.46941364, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.26000000870227813, 0.0677, 0.0011001295804977417, 0.9, 0.020001222133636476, -0.016666733423868815) on 15 1371533625 2025-07-11 00:50:45.010084 id_data : 678 ** BIG TIME 180.00013303756714 (308.99923849105835, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.81744206, 0, 0, 0, 0.3091000030994415, 0.0685, 0.0021002410888671876, 0.9, 0.049998908996582034, -0.08333336154619853) on 20 1371534623 2025-07-11 00:57:45.010233 id_data : 691 ** BIG TIME 360.000205039978 (308.99923849105835, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.81744206, 0, 0, 0, 0.3091000030994415, 0.0685, 0.0021002410888671876, 0.9, 0.049998908996582034, -0.08333336154619853) on 20 1371537606 2025-07-11 01:05:45.010230 id_data : 698 *o**** BIG TIME 399.9999670982361 (308.99923849105835, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.81744206, 0, 0, 0, 0.3091000030994415, 0.0685, 0.0021002410888671876, 0.9, 0.049998908996582034, -0.08333336154619853) on 20 1371537503 2025-07-11 01:19:55.010170 id_data : 710 ooo**ooo* BIG TIME 189.99990487098694 (308.99923849105835, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.81744206, 0, 0, 0, 0.3091000030994415, 0.0685, 0.0021002410888671876, 0.9, 0.049998908996582034, -0.08333336154619853) on 20 1371537827 2025-07-11 01:26:35.010167 id_data : 723 ooooo*oo*ooo*oo* BIG TIME 559.9997699260712 (308.99923849105835, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.81744206, 0, 0, 0, 0.3091000030994415, 0.0685, 0.0021002410888671876, 0.9, 0.049998908996582034, -0.08333336154619853) on 20 1371539882 2025-07-11 01:39:55.009943 id_data : 740 * BIG TIME 179.9998321533203 (357.99945735931396, 2, 0, 0, 0.58664525, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.6031000053882599, 0.0746, 0.0021002410888671876, 0.9, 0.050000187873840335, -0.06833513657251994) on 25 1371537671 2025-07-11 01:43:45.009963 id_data : 746 * BIG TIME 190.00018191337585 (357.99945735931396, 2, 0, 0, 0.58664525, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.6031000053882599, 0.0746, 0.0021002410888671876, 0.9, 0.050000187873840335, -0.06833513657251994) on 25 1371540584 2025-07-11 01:46:55.010145 id_data : 747 * BIG TIME 280.0000958442688 (408.9994113445282, 4, 0, 0, 0, 0, 0.8384391, 0, 0, 0, 0, 0, 0, 0, 0.645099986410141, 0.0753, 0.0021002410888671876, 1.9, 0.04999979615211487, -0.06666632850964864) on 30 1371541191 2025-07-11 01:52:25.010037 id_data : 753 **o*o*o* BIG TIME 250.00025296211243 (408.9994113445282, 4, 0, 0, 0, 0, 0.8384391, 0, 0, 0, 0, 0, 0, 0, 0.645099986410141, 0.0753, 0.0021002410888671876, 1.9, 0.04999979615211487, -0.06666632850964864) on 30 1371541673 2025-07-11 02:05:55.010230 id_data : 773 *** BIG TIME 249.00008416175842 (748.9983861446381, 2, 0, 0, 0.42445457, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.7951000072956085, 0.079, 0.0021002410888671876, 0.9, 0.03, -0.03333338141441345) on 39 1371542811 2025-07-11 02:16:54.010234 id_data : 790 * BIG TIME 250.99985313415527 (798.9971158504486, 3, 0, 0, 0, 0.91629744, 0, 0, 0, 0, 0, 0, 0, 0, 0.825000004696846, 0.0796, 0.0021002410888671876, 2.9, 0.04999988985061646, -0.06499939481417338) on 44 1371542975 2025-07-11 02:21:55.009977 id_data : 796 * BIG TIME 250.00001907348633 (798.9971158504486, 3, 0, 0, 0, 0.91629744, 0, 0, 0, 0, 0, 0, 0, 0, 0.825000004696846, 0.0796, 0.0021002410888671876, 2.9, 0.04999988985061646, -0.06499939481417338) on 44 1371543383 2025-07-11 02:26:55.009979 id_data : 802 ** BIG TIME 351.0001139640808 (917.9971311092377, 7, 0, 0, 0, 0, 0, 0, 0, 0.8552833, 0, 0, 0, 0, 0.896999991607666, 0.0814, 0.0021002410888671876, 1.9, 0.11900000715255739, -0.08166661858558655) on 50 1371541454 2025-07-11 02:35:35.010107 id_data : 814 * BIG TIME 230.00024700164795 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371542882 2025-07-11 02:40:35.010248 id_data : 822 ** BIG TIME 158.99877905845642 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371542042 2025-07-11 02:44:24.008981 id_data : 826 ****ooooooooooooo* BIG TIME 678.999922990799 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371544198 2025-07-11 03:01:24.010218 id_data : 851 *** BIG TIME 221.0011110305786 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371543198 2025-07-11 03:07:25.010211 id_data : 859 ** BIG TIME 219.99994206428528 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371543658 2025-07-11 03:12:25.010216 id_data : 865 * BIG TIME 190.0 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371543229 2025-07-11 03:15:45.010214 id_data : 867 * BIG TIME 270.00002002716064 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371544682 2025-07-11 03:20:15.010234 id_data : 868 ** BIG TIME 470.0000650882721 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371546443 2025-07-11 03:29:05.010338 id_data : 872 ooooooooo* BIG TIME 229.99997210502625 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371545123 2025-07-11 03:34:05.010118 id_data : 888 ooo**ooo* BIG TIME 220.0007758140564 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371545431 2025-07-11 03:40:15.010810 id_data : 897 *****ooo*ooooooooooooooooooooo*ooooooooo* BIG TIME 240.99994111061096 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371545677 2025-07-11 03:54:55.010080 id_data : 947 oooooooooo* BIG TIME 1590.0001289844513 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371547292 2025-07-11 04:21:25.010209 id_data : 958 o* BIG TIME 398.9987850189209 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371547884 2025-07-11 04:28:34.009022 id_data : 962 ***o* BIG TIME 259.99993896484375 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371547963 2025-07-11 04:37:04.010201 id_data : 974 ** BIG TIME 241.0012080669403 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371547700 2025-07-11 04:41:45.010196 id_data : 976 *** BIG TIME 159.99994683265686 (927.9982950687408, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.9235387, 0, 0, 0, 0.9340999980926513, 0.0817, 0.0031002450942993164, 1.9, 0.009999910831451415, -0.0) on 51 1371549134 2025-07-11 04:46:15.010223 id_data : 982 **ooooooooUnexpected type of data : ({'photo_id': 1371553969, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/6c3a888bcda95feb30ed84c652aee885.jpg', 'username': None, 'uploaded_at': 1752207536, 'text': 'image_11072025_04_49_27_10331.jpg', 'time': 1752209367.010331}, 'different') ooooooooooooooUnexpected type of data : ({'photo_id': 1371562752, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/6c0aaaea1491c24d5a2986650e769416.jpg', 'username': None, 'uploaded_at': 1752217844, 'text': 'image_11072025_04_49_27_10331.jpg', 'time': 1752209367.010331}, 'different') oooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1371562298, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/b933852441e9a86fdc62cf3727106742.jpg', 'username': None, 'uploaded_at': 1752217844, 'text': 'image_11072025_04_49_34_9863.jpg', 'time': 1752209374.009863}, 'different') ooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1371561838, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/75a3261daa93ab8738c475d009121313.jpg', 'username': None, 'uploaded_at': 1752217844, 'text': 'image_11072025_04_49_45_10197.jpg', 'time': 1752209385.010197}, 'different') oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1371561436, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/4fc50ffbb760572001c2b41831d5646f.jpg', 'username': None, 'uploaded_at': 1752217844, 'text': 'image_11072025_04_49_55_10340.jpg', 'time': 1752209395.01034}, 'different') oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1371561031, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/64dcd36992e6488dac7f2acb116a8c96.jpg', 'username': None, 'uploaded_at': 1752217844, 'text': 'image_11072025_04_50_05_10372.jpg', 'time': 1752209405.010372}, 'different') ooUnexpected type of data : ({'photo_id': 1371562748, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/11/3a2fced089e95436055fdacb5b5cf029.jpg', 'username': None, 'uploaded_at': 1752220016, 'text': 'image_11072025_04_50_05_10372.jpg', 'time': 1752209405.010372}, 'different') Count Time bigger than 30s : 84 #Number Photos for regression : {'11072025': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 232.00133228302002, 2107751015: 29.00031590461731, 2107751016: 0, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 9.999660015106201, 2107751015: 29.999111890792847, 2107751016: 30.001084089279175, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 9.999948024749756, 2107751015: 39.99984812736511, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 0, 2107751015: 10.000017881393433, 2107751016: 0, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 149.00026392936707, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 68.99997735023499, 2107751016: 100.0000638961792, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 28.998950958251953, 2107751015: 39.998753786087036, 2107751016: 9.99990200996399, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 149.99897575378418, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 4782.0004806518555, 2107751016: 0, 2107751017: 0}}} 11072025|aluminium, 05102018_papier_non_papier_dense:0 11072025|aluminium, 05102018_papier_non_papier_peu_dense:0 11072025|aluminium, 05102018_papier_non_papier_presque_vide:0 11072025|aluminium, 05102018_papier_non_papier_tres_dense:0 11072025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 11072025|ela, 05102018_papier_non_papier_dense:0 11072025|ela, 05102018_papier_non_papier_peu_dense:0 11072025|ela, 05102018_papier_non_papier_presque_vide:0 11072025|ela, 05102018_papier_non_papier_tres_dense:0 11072025|ela, 05102018_papier_non_papier_tres_peu_dense:0 11072025|emr, 05102018_papier_non_papier_dense:0 11072025|emr, 05102018_papier_non_papier_peu_dense:232.00133228302002 11072025|emr, 05102018_papier_non_papier_presque_vide:29.00031590461731 11072025|emr, 05102018_papier_non_papier_tres_dense:0 11072025|emr, 05102018_papier_non_papier_tres_peu_dense:0 11072025|film_pedb, 05102018_papier_non_papier_dense:0 11072025|film_pedb, 05102018_papier_non_papier_peu_dense:9.999660015106201 11072025|film_pedb, 05102018_papier_non_papier_presque_vide:29.999111890792847 11072025|film_pedb, 05102018_papier_non_papier_tres_dense:30.001084089279175 11072025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 11072025|flux_dev, 05102018_papier_non_papier_dense:0 11072025|flux_dev, 05102018_papier_non_papier_peu_dense:9.999948024749756 11072025|flux_dev, 05102018_papier_non_papier_presque_vide:39.99984812736511 11072025|flux_dev, 05102018_papier_non_papier_tres_dense:0 11072025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 11072025|jrm, 05102018_papier_non_papier_dense:0 11072025|jrm, 05102018_papier_non_papier_peu_dense:0 11072025|jrm, 05102018_papier_non_papier_presque_vide:10.000017881393433 11072025|jrm, 05102018_papier_non_papier_tres_dense:0 11072025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 11072025|pcm, 05102018_papier_non_papier_dense:0 11072025|pcm, 05102018_papier_non_papier_peu_dense:149.00026392936707 11072025|pcm, 05102018_papier_non_papier_presque_vide:0 11072025|pcm, 05102018_papier_non_papier_tres_dense:0 11072025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 11072025|pcnc, 05102018_papier_non_papier_dense:0 11072025|pcnc, 05102018_papier_non_papier_peu_dense:0 11072025|pcnc, 05102018_papier_non_papier_presque_vide:68.99997735023499 11072025|pcnc, 05102018_papier_non_papier_tres_dense:100.0000638961792 11072025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 11072025|pehd_pp, 05102018_papier_non_papier_dense:0 11072025|pehd_pp, 05102018_papier_non_papier_peu_dense:28.998950958251953 11072025|pehd_pp, 05102018_papier_non_papier_presque_vide:39.998753786087036 11072025|pehd_pp, 05102018_papier_non_papier_tres_dense:9.99990200996399 11072025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 11072025|pet_clair, 05102018_papier_non_papier_dense:0 11072025|pet_clair, 05102018_papier_non_papier_peu_dense:0 11072025|pet_clair, 05102018_papier_non_papier_presque_vide:149.99897575378418 11072025|pet_clair, 05102018_papier_non_papier_tres_dense:0 11072025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 11072025|refus, 05102018_papier_non_papier_dense:0 11072025|refus, 05102018_papier_non_papier_peu_dense:0 11072025|refus, 05102018_papier_non_papier_presque_vide:0 11072025|refus, 05102018_papier_non_papier_tres_dense:0 11072025|refus, 05102018_papier_non_papier_tres_peu_dense:0 11072025|tapis_vide, 05102018_papier_non_papier_dense:0 11072025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 11072025|tapis_vide, 05102018_papier_non_papier_presque_vide:4782.0004806518555 11072025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 11072025|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 ! 11072025_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 0 Number amount portfolio for this type of dechet : ela 0 Number amount portfolio for this type of dechet : emr 14 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=11072025_emr_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24833482 with name like 11072025_emr_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=11072025_emr_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24833483 with name like 11072025_emr_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : film_pedb 7 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=11072025_film_pedb_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24833485 with name like 11072025_film_pedb_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=11072025_film_pedb_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24833486 with name like 11072025_film_pedb_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=11072025_film_pedb_05102018_papier_non_papier_tres_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24833511 with name like 11072025_film_pedb_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : flux_dev 5 Number amount portfolio for this type of dechet : jrm 1 Number amount portfolio for this type of dechet : pcm 3 Number amount portfolio for this type of dechet : pcnc 11 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=11072025_pcnc_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24833536 with name like 11072025_pcnc_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=11072025_pcnc_05102018_papier_non_papier_tres_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24833537 with name like 11072025_pcnc_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : pehd_pp 8 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=11072025_pehd_pp_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24833538 with name like 11072025_pehd_pp_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=11072025_pehd_pp_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24833539 with name like 11072025_pehd_pp_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=11072025_pehd_pp_05102018_papier_non_papier_tres_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24833541 with name like 11072025_pehd_pp_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : pet_clair 2 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=11072025_pet_clair_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24833554 with name like 11072025_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 1216 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=11072025_tapis_vide_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24833555 with name like 11072025_tapis_vide_05102018_papier_non_papier_presque_vide NUMBER BATCH : 15 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 : ['pcnc', 'gm', 'emr', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev_rigide', 'aluminium', 'tapis_vide', 'refus', 'gros_cartons', 'gm', 'flux_dev_rigide', 'gros_cartons'] We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '11072025', 'map_nb_amount': {0: 1, 1: 2, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 10.0000581741333, 1: 20.000048875808716, 2: 0, 3: 0, 4: 0}, 'duration': 20.000086069107056, 'nb_balles_papier': 0.03000010704994202, 'begin_time_port': 'image_11072025_00_09_25_010002m0.jpg 0.010000020980834962 for time 10.000020980834961, id_amount 2 this amount prod time diff : 0.010000020980834962'} Production hashtag (incorrect ponderation at 20-10-18) : 0.03000010704994202 We filter photos on hashtag condition ! hashtag non trouvé ! 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 ! hashtag non trouvé ! 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 ! result_one_balle_Type_gros_cartons:{'day': '11072025', 'map_nb_amount': {0: 0, 1: 4, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 30.00001811981201, 2: 20.0000159740448, 3: 0, 4: 0}, 'duration': 50.00003409385681, 'nb_balles_papier': 0.05100003409385681, 'begin_time_port': 'image_11072025_00_27_55_009991m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.05100003409385681 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': '11072025', 'map_nb_amount': {0: 0, 1: 1, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 10.000101089477539, 2: 9.999865055084229, 3: 0, 4: 0}, 'duration': 31.001261949539185, 'nb_balles_papier': 0.020999966144561767, 'begin_time_port': 'image_11072025_00_37_14_008999m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.020999966144561767 hashtag non trouvé ! 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 ! result_one_balle_Type_emr:{'day': '11072025', 'map_nb_amount': {0: 3, 1: 2, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 150.00026607513428, 1: 18.999948024749756, 2: 0, 3: 0, 4: 0}, 'duration': 39.000041007995605, 'nb_balles_papier': 0.16900021409988403, 'begin_time_port': 'image_11072025_00_42_55_010123m0.jpg 0.13000017309188844 for time 130.00017309188843, id_amount 1 this amount prod time diff : 0.13000017309188844'} Production hashtag (incorrect ponderation at 20-10-18) : 0.16900021409988403 We filter photos on hashtag condition ! hashtag non trouvé ! 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 ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! result_one_balle_Type_pehd_pp:{'day': '11072025', 'map_nb_amount': {0: 4, 1: 1, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 28.998950958251953, 1: 11.000056028366089, 2: 9.99990200996399, 3: 0, 4: 0}, 'duration': 60.00002408027649, 'nb_balles_papier': 0.050998908996582035, 'begin_time_port': 'image_11072025_00_50_45_010084m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.050998908996582035 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': '11072025', 'map_nb_amount': {0: 4, 1: 2, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 41.00108194351196, 1: 8.99910593032837, 2: 0, 3: 0, 4: 0}, 'duration': 50.00018787384033, 'nb_balles_papier': 0.05100018787384033, 'begin_time_port': 'image_11072025_01_39_55_009943m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.05100018787384033 We filter photos on hashtag condition ! hashtag non trouvé ! 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 ! hashtag non trouvé ! 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_flux_dev_rigide:{'day': '11072025', 'map_nb_amount': {0: 1, 1: 5, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 9.999948024749756, 1: 39.99984812736511, 2: 0, 3: 0, 4: 0}, 'duration': 49.99979615211487, 'nb_balles_papier': 0.05099979615211487, 'begin_time_port': 'image_11072025_01_46_55_010145m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.05099979615211487 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 ! 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': '11072025', 'map_nb_amount': {0: 0, 1: 4, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 159.9989936351776, 2: 0, 3: 0, 4: 0}, 'duration': 189.99982595443726, 'nb_balles_papier': 0.1609989936351776, 'begin_time_port': 'image_11072025_02_05_55_010230m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1609989936351776 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': '11072025', 'map_nb_amount': {0: 6, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 180.00019001960754, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 50.99995493888855, 'nb_balles_papier': 0.18000019001960757, 'begin_time_port': 'image_11072025_02_11_54_010195m0.jpg 0.129000235080719 for time 129.000235080719, id_amount 1 this amount prod time diff : 0.129000235080719'} Production hashtag (incorrect ponderation at 20-10-18) : 0.18000019001960757 We filter photos on hashtag condition ! hashtag non trouvé ! 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 ! result_one_balle_Type_film_pedb:{'day': '11072025', 'map_nb_amount': {0: 2, 1: 2, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 9.999660015106201, 1: 19.999010801315308, 2: 20.001219034194946, 3: 0, 4: 0}, 'duration': 49.999889850616455, 'nb_balles_papier': 0.05099988985061646, 'begin_time_port': 'image_11072025_02_16_54_010234m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.05099988985061646 hashtag non trouvé ! 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 ! hashtag non trouvé ! 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 ! result_one_balle_Type_gros_cartons:{'day': '11072025', 'map_nb_amount': {0: 0, 1: 4, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 38.999959230422974, 2: 80.0000479221344, 3: 0, 4: 0}, 'duration': 48.99997115135193, 'nb_balles_papier': 0.11900000715255739, 'begin_time_port': 'image_11072025_02_28_55_010022m0.jpg 0.07000003600120544 for time 70.00003600120544, id_amount 3 this amount prod time diff : 0.07000003600120544'} Production hashtag (incorrect ponderation at 20-10-18) : 0.11900000715255739 We have rejected 4 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 11 list_same_port_ids : [24827646] find same portfolio which already exist 24827646 , we will use it list_same_port_ids : [24827648] find same portfolio which already exist 24827648 , we will use it list_same_port_ids : [24827650] find same portfolio which already exist 24827650 , we will use it list_same_port_ids : [24827652] find same portfolio which already exist 24827652 , we will use it list_same_port_ids : [24827654] find same portfolio which already exist 24827654 , we will use it list_same_port_ids : [24827657] find same portfolio which already exist 24827657 , we will use it list_same_port_ids : [24827659] find same portfolio which already exist 24827659 , we will use it list_same_port_ids : [24827662] find same portfolio which already exist 24827662 , we will use it list_same_port_ids : [24827663] find same portfolio which already exist 24827663 , we will use it list_same_port_ids : [24827665] find same portfolio which already exist 24827665 , we will use it list_same_port_ids : [24827667] find same portfolio which already exist 24827667 , we will use it Qualite : 0.04889764736462158 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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`=24827646 AND mptpi.`type`=4207 To do Qualite : 0.04651917934620663 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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`=24827648 AND mptpi.`type`=4207 To do Qualite : 0.1471248467065532 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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`=24827650 AND mptpi.`type`=4461 To do Qualite : 0.10050141515687358 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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`=24827652 AND mptpi.`type`=4207 To do Qualite : 0.07066367643582908 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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`=24827654 AND mptpi.`type`=4211 To do Qualite : 0.08300223453152362 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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`=24827657 AND mptpi.`type`=4207 To do Qualite : 0.3053117069528007 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13185 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 13193 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13194 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13189 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 13189 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 13191 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13192 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 13186 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13186 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 13197 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 13197 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 13188 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13187 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 13187 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 13196 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13188 doesn't seem to be define in the database( WARNING : type of input 3 of step 13187 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 13185 doesn't seem to be define in the database( WARNING : type of input 2 of step 13189 doesn't seem to be define in the database( WARNING : output 0 of step 13185 have datatype=16 whereas input 0 of step 13192 have datatype=1 WARNING : output 1 of step 13185 have datatype=2 whereas input 1 of step 13192 have datatype=7 WARNING : output 0 of step 13191 have datatype=6 whereas input 2 of step 13192 have datatype=5 WARNING : type of output 2 of step 13192 doesn't seem to be define in the database( WARNING : type of input 1 of step 13186 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13188 have datatype=10 whereas input 3 of step 13195 have datatype=6 WARNING : type of input 2 of step 13197 doesn't seem to be define in the database( WARNING : output 1 of step 13186 have datatype=7 whereas input 2 of step 13197 have datatype=None WARNING : type of output 3 of step 13197 doesn't seem to be define in the database( WARNING : type of input 1 of step 13188 doesn't seem to be define in the database( WARNING : output 0 of step 13188 have datatype=10 whereas input 0 of step 13198 have datatype=18 WARNING : type of input 5 of step 13195 doesn't seem to be define in the database( WARNING : output 0 of step 13198 have datatype=11 whereas input 5 of step 13195 have datatype=None WARNING : type of output 1 of step 13193 doesn't seem to be define in the database( WARNING : type of input 3 of step 13189 doesn't seem to be define in the database( WARNING : type of output 1 of step 13194 doesn't seem to be define in the database( WARNING : type of input 3 of step 13189 doesn't seem to be define in the database( WARNING : output 0 of step 13192 have datatype=1 whereas input 0 of step 13186 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`=24827659 AND mptpi.`type`=4200 To do Qualite : 0.06668168347514655 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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`=24827662 AND mptpi.`type`=3327 To do Qualite : 0.09655865388532367 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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`=24827663 AND mptpi.`type`=4207 To do Qualite : 0.1503825575772666 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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`=24827665 AND mptpi.`type`=4461 To do Qualite : 0.09182084576734278 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number 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`=24827667 AND mptpi.`type`=4207 To do elapsed_time : count_nb_balles_and_create_portfolio 54.488449573516846 # DISPLAY ALL COLLECTED DATA : {'11072025': {'nb_upload': 1318, 'nb_taggue_class': 1305, 'nb_taggue_densite': 1305, 'nb_descriptors': 64, 'number_port': 15, 'count_photo_in_port': 61, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 20, 'nb_portfolios': 4}, 'film_pedb': {'nb_photos': 9, 'nb_portfolios': 2}, 'flux_dev': {'nb_photos': 6, 'nb_portfolios': 1}, 'jrm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 12, 'nb_portfolios': 2}, 'pehd_pp': {'nb_photos': 8, 'nb_portfolios': 2}, 'pet_clair': {'nb_photos': 6, 'nb_portfolios': 3}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 1}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1371562752, 1371562748, 1371562744, 1371562643, 1371562637, 1371562484, 1371562475, 1371562386, 1371562311, 1371562308, 1371562305, 1371562298, 1371562243, 1371562242, 1371562241, 1371562238, 1371562151, 1371562079, 1371562050, 1371561982, 1371561981, 1371561978, 1371561906, 1371561841, 1371561840, 1371561838, 1371561814, 1371561772, 1371561769, 1371561604, 1371561558, 1371561557, 1371561486, 1371561483, 1371561480, 1371561472, 1371561471, 1371561470, 1371561439, 1371561438, 1371561436, 1371561379, 1371561373, 1371561306, 1371561301, 1371561299, 1371561295, 1371561175, 1371561165, 1371561164, 1371561086, 1371561031, 1371561030, 1371561029, 1371561027, 1371561026, 1371561021, 1371560982, 1371560978, 1371560977, 1371560974, 1371560950, 1371560904, 1371560903, 1371560902, 1371560850, 1371560817, 1371560815, 1371560804, 1371560802, 1371560801, 1371560798, 1371560797, 1371560770, 1371560709, 1371560708, 1371560704, 1371560648, 1371560606, 1371560548, 1371560547, 1371560544, 1371560543, 1371560542, 1371560523, 1371560520, 1371560465, 1371560399, 1371560395, 1371560390, 1371560389, 1371560347, 1371560345, 1371560344, 1371560342, 1371560283, 1371560282, 1371560279, 1371560264, 1371560262] Looping around the photos to save general results len do output : 1 /24815594Didn'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 ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562752', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562748', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562744', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562643', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562637', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562484', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562475', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562386', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562311', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562308', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562305', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562298', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562243', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562242', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562241', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562238', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562151', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562079', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371562050', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561982', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561981', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561978', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561906', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561841', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561840', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561838', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561814', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561772', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561769', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561604', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561558', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561557', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561486', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561483', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561480', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561472', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561471', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561470', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561439', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561438', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561436', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561379', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561373', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561306', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561301', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561299', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561295', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561175', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561165', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561164', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561086', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561031', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561030', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561029', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561027', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561026', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371561021', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560982', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560978', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560977', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560974', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560950', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560904', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560903', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560902', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560850', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560817', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560815', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560804', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560802', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560801', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560798', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560797', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560770', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560709', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560708', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560704', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560648', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560606', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560548', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560547', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560544', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560543', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560542', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560523', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560520', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560465', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560399', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560395', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560390', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560389', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560347', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560345', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560344', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560342', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560283', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560282', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560279', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560264', None, None, None, None, None, '3269934') ('4323', None, None, None, None, None, None, None, '3269934') ('4323', '24815594', '1371560262', None, None, None, None, None, '3269934') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.026485443115234375 save_final save missing photos in datou_result : time spend for datou_step_exec : 58.263991355895996 time spend to save output : 0.027306079864501953 total time spend for step 1 : 58.2912974357605 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 1.60user 0.53system 1:02.37elapsed 3%CPU (0avgtext+0avgdata 112772maxresident)k 0inputs+1048outputs (1major+51321minor)pagefaults 0swaps