python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4189' -s datou_current_4189 -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 : 2320871 load datou : 4189 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! Unexpected type for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : None was removed should we ? donnée sous forme de texte was removed should we ? [ptf_id0,ptf_id1...] was removed should we ? load thcls load pdts Running datou job : batch_current TODO datou_current to load to do maybe to take outside batchDatouExec no input labels no input values updating current state to 1 list_input_json: {} Date 2026-04-24 19:10:28.486735 Current got : datou_id : 4189, datou_cur_ids : ['4377270'] with mtr_portfolio_ids : ['30922210'] and first list_photo_ids : [] new path : /proc/2320871/ 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 : 0.07895922660827637 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Apr 24 19:10:28 2026 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': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] 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'}] (('10', 357), ('14', 359)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 12} L02042026 30922210 Nombre de photos uploadées : 716 / 23040 (3%) 02042026 30922210 Nombre de photos taguées (types de déchets): 12 / 716 (1%) 02042026 30922210 Nombre de photos taguées (volume) : 12 / 716 (1%) elapsed_time : load_data_split_time_score 1.9073486328125e-06 elapsed_time : order_list_meta_photo_and_scores 1.1920928955078125e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.024668455123901367 LCatched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.23536968231201172 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.03135108947753906 Creating list_photo_total elapsed_time : select_descriptors 1.1033210754394531 02042026 30922210 Nombre de photos avec descriptors (type 5680) : 6 / 710 (0%) Missing descriptors for photos 0 and 1414631787 L0:00:00|ON:Missing descriptors for photos 1414631787 and 1414631788 LMissing descriptors for photos 1414631788 and 1414631789 LMissing descriptors for photos 1414631789 and 1414631791 LMissing descriptors for photos 1414631791 and 1414631792 LMissing descriptors for photos 1414631792 and 1414631794 LMissing descriptors for photos 1414631794 and 1414631795 LMissing descriptors for photos 1414631795 and 1414631796 LMissing descriptors for photos 1414631796 and 1414631797 LMissing descriptors for photos 1414631797 and 1414631798 LMissing descriptors for photos 1414631798 and 1414631799 LMissing descriptors for photos 1414631799 and 1414631941 LMissing descriptors for photos 1414631941 and 1414632119 LMissing descriptors for photos 1414632119 and 1414632303 LMissing descriptors for photos 1414632303 and 1414632375 LMissing descriptors for photos 1414632375 and 1414632376 LMissing descriptors for photos 1414632376 and 1414632587 LMissing descriptors for photos 1414632587 and 1414632613 LMissing descriptors for photos 1414632613 and 1414632615 LMissing descriptors for photos 1414632615 and 1414632618 LMissing descriptors for photos 1414632618 and 1414632620 LMissing descriptors for photos 1414632620 and 1414632621 LMissing descriptors for photos 1414632621 and 1414632626 LMissing descriptors for photos 1414632626 and 1414632628 LMissing descriptors for photos 1414632628 and 1414632629 LMissing descriptors for photos 1414632629 and 1414632630 LMissing descriptors for photos 1414632630 and 1414632631 LMissing descriptors for photos 1414632631 and 1414632632 LMissing descriptors for photos 1414632632 and 1414632634 LMissing descriptors for photos 1414632634 and 1414632637 LMissing descriptors for photos 1414632637 and 1414632638 LMissing descriptors for photos 1414632638 and 1414632639 LMissing descriptors for photos 1414632639 and 1414632679 LMissing descriptors for photos 1414632679 and 1414632864 LMissing descriptors for photos 1414632864 and 1414633215 LMissing descriptors for photos 1414633215 and 1414633274 LMissing descriptors for photos 1414633274 and 1414633294 LMissing descriptors for photos 1414633294 and 1414633295 LMissing descriptors for photos 1414633295 and 1414633296 LMissing descriptors for photos 1414633296 and 1414633298 LMissing descriptors for photos 1414633298 and 1414633299 LMissing descriptors for photos 1414633299 and 1414633300 LMissing descriptors for photos 1414633300 and 1414633301 LMissing descriptors for photos 1414633301 and 1414633302 LMissing descriptors for photos 1414633302 and 1414633303 LMissing descriptors for photos 1414633303 and 1414633304 LMissing descriptors for photos 1414633304 and 1414633306 LMissing descriptors for photos 1414633306 and 1414633307 LMissing descriptors for photos 1414633307 and 1414633310 LMissing descriptors for photos 1414633310 and 1414633311 LMissing descriptors for photos 1414633311 and 1414633312 LMissing descriptors for photos 1414633312 and 1414633313 LMissing descriptors for photos 1414633313 and 1414633318 LMissing descriptors for photos 1414633318 and 1414633320 LMissing descriptors for photos 1414633320 and 1414633322 LMissing descriptors for photos 1414633322 and 1414633324 LMissing descriptors for photos 1414633324 and 1414633326 LMissing descriptors for photos 1414633326 and 1414633327 LMissing descriptors for photos 1414633327 and 1414633332 LMissing descriptors for photos 1414633332 and 1414633334 LMissing descriptors for photos 1414633334 and 1414633336 LMissing descriptors for photos 1414633336 and 1414633338 LMissing descriptors for photos 1414633338 and 1414633339 LMissing descriptors for photos 1414633339 and 1414633341 LMissing descriptors for photos 1414633341 and 1414633344 LMissing descriptors for photos 1414633344 and 1414633347 LMissing descriptors for photos 1414633347 and 1414633348 LMissing descriptors for photos 1414633348 and 1414633349 LMissing descriptors for photos 1414633349 and 1414633350 LMissing descriptors for photos 1414633350 and 1414633351 LMissing descriptors for photos 1414633351 and 1414633357 LMissing descriptors for photos 1414633357 and 1414633360 LMissing descriptors for photos 1414633360 and 1414633362 LMissing descriptors for photos 1414633362 and 1414633363 LMissing descriptors for photos 1414633363 and 1414633364 LMissing descriptors for photos 1414633364 and 1414633365 LMissing descriptors for photos 1414633365 and 1414633370 LMissing descriptors for photos 1414633370 and 1414633371 LMissing descriptors for photos 1414633371 and 1414633373 LMissing descriptors for photos 1414633373 and 1414633374 LMissing descriptors for photos 1414633374 and 1414633375 LMissing descriptors for photos 1414633375 and 1414633376 LMissing descriptors for photos 1414633376 and 1414633382 LMissing descriptors for photos 1414633382 and 1414633386 LMissing descriptors for photos 1414633386 and 1414633387 LMissing descriptors for photos 1414633387 and 1414633388 LMissing descriptors for photos 1414633388 and 1414633389 LMissing descriptors for photos 1414633389 and 1414633390 LMissing descriptors for photos 1414633390 and 1414633396 LMissing descriptors for photos 1414633396 and 1414633398 LMissing descriptors for photos 1414633398 and 1414633400 LMissing descriptors for photos 1414633400 and 1414633401 LMissing descriptors for photos 1414633401 and 1414633402 LMissing descriptors for photos 1414633402 and 1414633403 LMissing descriptors for photos 1414633403 and 1414633404 LMissing descriptors for photos 1414633404 and 1414633405 LMissing descriptors for photos 1414633405 and 1414633406 LMissing descriptors for photos 1414633406 and 1414633407 LMissing descriptors for photos 1414633407 and 1414633408 LMissing descriptors for photos 1414633408 and 1414633410 LMissing descriptors for photos 1414633410 and 1414633712 LMissing descriptors for photos 1414633712 and 1414633886 LMissing descriptors for photos 1414633886 and 1414634035 LMissing descriptors for photos 1414634035 and 1414634036 LMissing descriptors for photos 1414634036 and 1414634037 LMissing descriptors for photos 1414634037 and 1414634067 LMissing descriptors for photos 1414634067 and 1414634233 LMissing descriptors for photos 1414634233 and 1414634303 LMissing descriptors for photos 1414634303 and 1414634305 LMissing descriptors for photos 1414634305 and 1414634350 LMissing descriptors for photos 1414634350 and 1414634351 LMissing descriptors for photos 1414634351 and 1414634352 LMissing descriptors for photos 1414634352 and 1414634357 LMissing descriptors for photos 1414634357 and 1414634359 LMissing descriptors for photos 1414634359 and 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1414643102 LMissing descriptors for photos 1414643102 and 1414643104 LMissing descriptors for photos 1414643104 and 1414643107 LMissing descriptors for photos 1414643107 and 1414643108 LMissing descriptors for photos 1414643108 and 1414643257 LMissing descriptors for photos 1414643257 and 1414643431 LMissing descriptors for photos 1414643431 and 1414643613 LMissing descriptors for photos 1414643613 and 1414643648 LMissing descriptors for photos 1414643648 and 1414643809 LMissing descriptors for photos 1414643809 and 1414643858 LMissing descriptors for photos 1414643858 and 1414643860 LMissing descriptors for photos 1414643860 and 1414643906 LMissing descriptors for photos 1414643906 and 1414643907 LMissing descriptors for photos 1414643907 and 1414643908 LMissing descriptors for photos 1414643908 and 1414643913 LMissing descriptors for photos 1414643913 and 1414643915 LMissing descriptors for photos 1414643915 and 1414643917 LMissing descriptors for photos 1414643917 and 1414643918 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descriptors for photos 1414645612 and 1414645613 LMissing descriptors for photos 1414645613 and 1414645616 LMissing descriptors for photos 1414645616 and 1414645617 LMissing descriptors for photos 1414645617 and 1414645618 LMissing descriptors for photos 1414645618 and 1414645619 LMissing descriptors for photos 1414645619 and 1414645620 LMissing descriptors for photos 1414645620 and 1414645621 LMissing descriptors for photos 1414645621 and 1414645628 LMissing descriptors for photos 1414645628 and 1414645630 LMissing descriptors for photos 1414645630 and 1414645632 LMissing descriptors for photos 1414645632 and 1414645633 LMissing descriptors for photos 1414645633 and 1414645634 LMissing descriptors for photos 1414645634 and 1414645635 LMissing descriptors for photos 1414645635 and 1414645636 LMissing descriptors for photos 1414645636 and 1414645637 LMissing descriptors for photos 1414645637 and 1414645638 LMissing descriptors for photos 1414645638 and 1414645639 LMissing descriptors 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descriptors for photos 1414645763 and 1414645764 LMissing descriptors for photos 1414645764 and 1414645765 LMissing descriptors for photos 1414645765 and 1414645767 LMissing descriptors for photos 1414645767 and 1414645768 LMissing descriptors for photos 1414645768 and 1414645769 LMissing descriptors for photos 1414645769 and 1414645775 LMissing descriptors for photos 1414645775 and 1414645777 LMissing descriptors for photos 1414645777 and 1414645779 LMissing descriptors for photos 1414645779 and 1414645780 LMissing descriptors for photos 1414645780 and 1414645781 LMissing descriptors for photos 1414645781 and 1414645782 LMissing descriptors for photos 1414645782 and 1414645788 LMissing descriptors for photos 1414645788 and 1414645790 LMissing descriptors for photos 1414645790 and 1414645791 LMissing descriptors for photos 1414645791 and 1414645793 LMissing descriptors for photos 1414645793 and 1414645795 LMissing descriptors for photos 1414645795 and 1414645796 LMissing descriptors for photos 1414645796 and 1414645801 LMissing descriptors for photos 1414645801 and 1414645803 LMissing descriptors for photos 1414645803 and 1414645805 LMissing descriptors for photos 1414645805 and 1414645806 LMissing descriptors for photos 1414645806 and 1414645807 LMissing descriptors for photos 1414645807 and 1414645808 LMissing descriptors for photos 1414645808 and 1414645815 LMissing descriptors for photos 1414645815 and 1414645817 LMissing descriptors for photos 1414645817 and 1414645818 LMissing descriptors for photos 1414645818 and 1414645819 LMissing descriptors for photos 1414645819 and 1414645820 LMissing descriptors for photos 1414645820 and 1414645822 LMissing descriptors for photos 1414645822 and 1414645823 LMissing descriptors for photos 1414645823 and 1414645824 LMissing descriptors for photos 1414645824 and 1414645825 LMissing descriptors for photos 1414645825 and 1414645826 LMissing descriptors for photos 1414645826 and 1414645827 LMissing descriptors for photos 1414645827 and 1414645828 LMissing descriptors for photos 1414645828 and 1414645832 LMissing descriptors for photos 1414645832 and 1414645834 LMissing descriptors for photos 1414645834 and 1414645835 LMissing descriptors for photos 1414645835 and 1414645836 LMissing descriptors for photos 1414645836 and 1414645837 LMissing descriptors for photos 1414645837 and 1414645838 LMissing descriptors for photos 1414645838 and 1414645839 LMissing descriptors for photos 1414645839 and 1414645840 LMissing descriptors for photos 1414645840 and 1414645841 LMissing descriptors for photos 1414645841 and 1414645842 LMissing descriptors for photos 1414645842 and 1414645843 LMissing descriptors for photos 1414645843 and 1414645845 LERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1414645849 photo_id_prec : 1414645845 LLLLLLERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1414645871 photo_id_prec : 1414645854 LMissing descriptors for photos 1414645871 and 1414645872 LMissing descriptors for photos 1414645872 and 1414645873 LMissing descriptors for photos 1414645873 and 1414645874 LMissing descriptors for photos 1414645874 and 1414645875 LMissing descriptors for photos 1414645875 and 1414645876 LMissing descriptors for photos 1414645876 and 1414645878 LMissing descriptors for photos 1414645878 and 1414645879 LMissing descriptors for photos 1414645879 and 1414645880 LMissing descriptors for photos 1414645880 and 1414645881 LMissing descriptors for photos 1414645881 and 1414645882 LMissing descriptors for photos 1414645882 and 1414645883 LMissing descriptors for photos 1414645883 and 1414645888 LMissing descriptors for photos 1414645888 and 1414645891 LMissing descriptors for photos 1414645891 and 1414645892 LMissing descriptors for photos 1414645892 and 1414645894 LMissing descriptors for photos 1414645894 and 1414645896 LMissing descriptors for photos 1414645896 and 1414645897 LMissing descriptors for photos 1414645897 and 1414646512 LMissing descriptors for photos 1414646512 and 1414646513 LMissing descriptors for photos 1414646513 and 1414646514 LMissing descriptors for photos 1414646514 and 1414646515 LMissing descriptors for photos 1414646515 and 1414646620 LMissing descriptors for photos 1414646620 and 1414646660 LMissing descriptors for photos 1414646660 and 1414646731 LMissing descriptors for photos 1414646731 and 1414646732 LMissing descriptors for photos 1414646732 and 1414646734 LMissing descriptors for photos 1414646734 and 1414646736 LMissing descriptors for photos 1414646736 and 1414646738 LMissing descriptors for photos 1414646738 and 1414646739 LMissing descriptors for photos 1414646739 and 1414646740 LMissing descriptors for photos 1414646740 and 1414646741 LMissing descriptors for photos 1414646741 and 1414646742 LMissing descriptors for photos 1414646742 and 1414646743 LMissing descriptors for photos 1414646743 and 1414646744 LMissing descriptors for photos 1414646744 and 1414646745 LMissing descriptors for photos 1414646745 and 1414646747 LMissing descriptors for photos 1414646747 and 1414646748 LMissing descriptors for photos 1414646748 and 1414646750 LMissing descriptors for photos 1414646750 and 1414646752 LMissing descriptors for photos 1414646752 and 1414646753 LMissing descriptors for photos 1414646753 and 1414646755 LMissing descriptors for photos 1414646755 and 1414646760 LMissing descriptors for photos 1414646760 and 1414646762 LMissing descriptors for photos 1414646762 and 1414646763 LMissing descriptors for photos 1414646763 and 1414646764 LMissing descriptors for photos 1414646764 and 1414646765 LMissing descriptors for photos 1414646765 and 1414646766 LMissing descriptors for photos 1414646766 and 1414646773 LMissing descriptors for photos 1414646773 and 1414646775 LMissing descriptors for photos 1414646775 and 1414646776 LMissing descriptors for photos 1414646776 and 1414646777 LMissing descriptors for photos 1414646777 and 1414646778 LMissing descriptors for photos 1414646778 and 1414646780 LMissing descriptors for photos 1414646780 and 1414646781 LMissing descriptors for photos 1414646781 and 1414646782 LMissing descriptors for photos 1414646782 and 1414646783 LMissing descriptors for photos 1414646783 and 1414646784 LMissing descriptors for photos 1414646784 and 1414646787 LMissing descriptors for photos 1414646787 and 1414646788 LMissing descriptors for photos 1414646788 and 1414647075 LMissing descriptors for photos 1414647075 and 1414647245 LMissing descriptors for photos 1414647245 and 1414647417 LMissing descriptors for photos 1414647417 and 1414647602 LMissing descriptors for photos 1414647602 and 1414647603 LMissing descriptors for photos 1414647603 and 1414647604 LMissing descriptors for photos 1414647604 and 1414647639 LMissing descriptors for photos 1414647639 and 1414647818 LMissing descriptors for photos 1414647818 and 1414647861 LMissing descriptors for photos 1414647861 and 1414647863 LMissing descriptors for photos 1414647863 and 1414647926 LMissing descriptors for photos 1414647926 and 1414647927 LMissing descriptors for photos 1414647927 and 1414647979 LMissing descriptors for photos 1414647979 and 1414647980 LMissing descriptors for photos 1414647980 and 1414647982 LMissing descriptors for photos 1414647982 and 1414647983 LMissing descriptors for photos 1414647983 and 1414647984 LMissing descriptors for photos 1414647984 and 1414647985 LMissing descriptors for photos 1414647985 and 1414647986 LMissing descriptors for photos 1414647986 and 1414647987 LMissing descriptors for photos 1414647987 and 1414647988 LMissing descriptors for photos 1414647988 and 1414647990 LMissing descriptors for photos 1414647990 and 1414647991 LMissing descriptors for photos 1414647991 and 1415155654 L 02042026 Removing 0 photos because of the 'same image' condition Total on : 0 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 716 time used for this insertion : 0.15754151344299316 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.21130967140197754 To do, maybe not at the correct place ! .L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.023053646087646484 NUMBER BATCH : 8 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info LLLresult_one_balle_Type_JRM:{'day': '02042026', 'map_nb_amount': {0: 0, 1: 1, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.7416958808899, 'nb_balles_papier': 1e-05, 'begin_time_port': 'image_02042026_14_30_02_957478_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 1e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info LLresult_one_balle_Type_JRM:{'day': '02042026', 'map_nb_amount': {0: 0, 1: 5, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 840.5988829135895, 'nb_balles_papier': 5e-05, 'begin_time_port': 'image_02042026_14_45_02_507332_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 5e-05 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 2 list_same_port_ids : [] list_same_port_ids : [] # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 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 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 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`=31022075 AND mptpi.`type`=3726 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 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 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 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`=31022076 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 6.032720327377319 # DISPLAY ALL COLLECTED DATA : {'02042026': {'nb_upload': 716, 'nb_taggue_class': 12, 'nb_taggue_densite': 12, 'nb_descriptors': 6}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1415155654, 1414647991, 1414647990, 1414647988, 1414647987, 1414647986, 1414647985, 1414647984, 1414647983, 1414647982, 1414647980, 1414647979, 1414647927, 1414647926, 1414647863, 1414647861, 1414647818, 1414647639, 1414647604, 1414647603, 1414647602, 1414647417, 1414647245, 1414647075, 1414646788, 1414646787, 1414646784, 1414646783, 1414646782, 1414646781, 1414646780, 1414646778, 1414646777, 1414646776, 1414646775, 1414646773, 1414646766, 1414646765, 1414646764, 1414646763, 1414646762, 1414646760, 1414646755, 1414646753, 1414646752, 1414646750, 1414646748, 1414646747, 1414646745, 1414646744, 1414646743, 1414646742, 1414646741, 1414646740, 1414646739, 1414646738, 1414646736, 1414646734, 1414646732, 1414646731, 1414646660, 1414646620, 1414646515, 1414646514, 1414646513, 1414646512, 1414645897, 1414645896, 1414645894, 1414645892, 1414645891, 1414645888, 1414645883, 1414645882, 1414645881, 1414645880, 1414645879, 1414645878, 1414645876, 1414645875, 1414645874, 1414645873, 1414645872, 1414645871, 1414645854, 1414645853, 1414645852, 1414645851, 1414645850, 1414645849, 1414645845, 1414645843, 1414645842, 1414645841, 1414645840, 1414645839, 1414645838, 1414645837, 1414645836, 1414645835] Looping around the photos to save general results len do output : 1 /30922210Didn'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 ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1415155654', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647991', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647990', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647988', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647987', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647986', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647985', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647984', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647983', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647982', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647980', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647979', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647927', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647926', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647863', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647861', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647818', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647639', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647604', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647603', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647602', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647417', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647245', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414647075', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646788', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646787', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646784', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646783', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646782', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646781', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646780', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646778', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646777', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646776', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646775', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646773', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646766', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646765', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646764', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646763', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646762', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646760', None, None, None, None, None, 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None, None, None, None, None, '4377270') ('4189', '30922210', '1414646744', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646743', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646742', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646741', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646740', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646739', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646738', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, 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'1414646514', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646513', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414646512', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645897', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645896', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645894', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645892', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645891', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645888', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645883', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645882', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645881', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645880', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645879', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645878', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645876', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645875', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645874', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645873', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645872', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645871', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645854', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645853', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645852', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645851', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645850', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645849', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645845', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645843', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645842', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645841', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645840', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645839', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645838', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645837', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645836', None, None, None, None, None, '4377270') ('4189', None, None, None, None, None, None, None, '4377270') ('4189', '30922210', '1414645835', None, None, None, None, None, '4377270') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.047149658203125 save_final save missing photos in datou_result : time spend for datou_step_exec : 7.835402011871338 time spend to save output : 0.04793715476989746 total time spend for step 1 : 7.883339166641235 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 1.26user 0.71system 0:11.86elapsed 16%CPU (0avgtext+0avgdata 113096maxresident)k 8inputs+256outputs (32major+53606minor)pagefaults 0swaps