python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4876' -s datou_current_4876 -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 : 684208 load datou : 4876 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! Unexpected type for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : None was removed should we ? donnée sous forme de texte was removed should we ? [ptf_id0,ptf_id1...] was removed should we ? load thcls load pdts Running datou job : batch_current TODO datou_current to load to do maybe to take outside batchDatouExec no input labels no input values updating current state to 1 list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2715818'] with mtr_portfolio_ids : ['21962613'] and first list_photo_ids : [] new path : /proc/684208/ 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 : 0.04670381546020508 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Apr 2 07:52:29 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec 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'}] (('00', 10), ('01', 5), ('02', 9), ('03', 7), ('04', 8), ('05', 31), ('06', 263), ('07', 231)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 447} 02042025 21962613 Nombre de photos uploadées : 502 / 23040 (2%) 02042025 21962613 Nombre de photos taguées (types de déchets): 447 / 502 (89%) 02042025 21962613 Nombre de photos taguées (volume) : 447 / 502 (89%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0002665519714355469 ????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.02451920509338379 elapsed_time : insert_dashboard_record_day_entry 0.023383378982543945 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 elapsed_time : list_photo_by_hashtags 0.05487966537475586 photos_removed : len 0 elapsed_time : load_duplicate_info 0.03270673751831055 ***** BEGIN SPLIT TIME ***** True 1743552000.0 `1743563684.010144 1743562800.0 `1743565984.010169 1743565500.0 `1743566234.010141 1743565500.0 `1743566244.010138 1743565500.0 `1743566283.010138 1743565500.0 `1743566294.010136 1743565500.0 `1743566314.010139 1743565500.0 `1743566334.010137 1743565500.0 `1743566414.010194 1743566400.0 `1743566424.01014 1743566400.0 `1743566434.010147 1743566400.0 `1743566444.01014 1743566400.0 `1743566454.010138 1743566400.0 `1743566464.010137 1743566400.0 `1743566494.010132 1743566400.0 `1743566504.010133 1743566400.0 `1743566514.010133 1743566400.0 `1743566534.010136 1743566400.0 `1743566545.010134 1743566400.0 `1743566554.009124 1743566400.0 `1743566564.010134 1743566400.0 `1743566574.010137 1743566400.0 `1743566584.010153 1743566400.0 `1743566594.010137 1743566400.0 `1743566604.010136 1743566400.0 `1743566614.010133 1743566400.0 `1743566624.009124 1743566400.0 `1743566634.010135 1743566400.0 `1743566664.010134 1743566400.0 `1743566674.010133 1743566400.0 `1743566684.010136 1743566400.0 `1743566694.009125 1743566400.0 `1743566704.01015 1743566400.0 `1743566714.010137 1743566400.0 `1743566724.010134 1743566400.0 `1743566734.010134 1743566400.0 `1743566744.010136 1743566400.0 `1743566754.010136 1743566400.0 `1743566765.010136 1743566400.0 `1743566774.009126 1743566400.0 `1743566784.010146 1743566400.0 `1743566814.01014 1743566400.0 `1743566824.010153 1743566400.0 `1743566835.010137 1743566400.0 `1743566844.009124 1743566400.0 `1743566854.010141 1743566400.0 `1743566864.010147 1743566400.0 `1743566874.010137 1743566400.0 `1743566884.010164 1743566400.0 `1743566894.010133 1743566400.0 `1743566904.010134 1743566400.0 `1743566914.009127 1743566400.0 `1743566944.010147 1743566400.0 `1743566954.010136 1743566400.0 `1743566964.010138 1743566400.0 `1743566974.010143 1743566400.0 `1743566984.009127 1743566400.0 `1743566994.010139 1743566400.0 `1743567004.010168 1743566400.0 `1743567014.010139 1743566400.0 `1743567024.010134 1743566400.0 `1743567034.010135 1743566400.0 `1743567074.010135 1743566400.0 `1743567084.010134 1743566400.0 `1743567094.010141 1743566400.0 `1743567104.01014 1743566400.0 `1743567114.010138 1743566400.0 `1743567125.010141 1743566400.0 `1743567134.009125 1743566400.0 `1743567144.010136 1743566400.0 `1743567154.010134 1743566400.0 `1743567174.010134 1743566400.0 `1743567184.01015 1743566400.0 `1743567194.010132 1743566400.0 `1743567204.009124 1743566400.0 `1743567214.010135 1743566400.0 `1743567224.010141 1743566400.0 `1743567234.010137 1743566400.0 `1743567244.01015 1743566400.0 `1743567254.010135 1743566400.0 `1743567264.010134 1743566400.0 `1743567274.009125 1743566400.0 `1743567284.010135 1743566400.0 `1743567304.010143 1743567300.0 `1743567314.010131 1743567300.0 `1743567324.010132 1743567300.0 `1743567334.010135 1743567300.0 `1743567345.010136 1743567300.0 `1743567354.009126 1743567300.0 `1743567364.01015 1743567300.0 `1743567374.010138 1743567300.0 `1743567384.010134 1743567300.0 `1743567394.010135 1743567300.0 `1743567404.010136 1743567300.0 `1743567414.010135 1743567300.0 `1743567444.010131 1743567300.0 `1743567454.010137 1743567300.0 `1743567464.010137 1743567300.0 `1743567474.010138 1743567300.0 `1743567484.010147 1743567300.0 `1743567494.009124 1743567300.0 `1743567504.010135 1743567300.0 `1743567514.010147 1743567300.0 `1743567534.010137 1743567300.0 `1743567544.010149 1743567300.0 `1743567594.010162 1743567300.0 `1743567604.010147 1743567300.0 `1743567674.010132 1743567300.0 `1743567714.009123 1743567300.0 `1743567724.010155 1743567300.0 `1743567754.010142 1743567300.0 `1743567764.010142 1743567300.0 `1743567774.010137 1743567300.0 `1743567794.010138 1743567300.0 `1743567804.010139 1743567300.0 `1743567814.010139 1743567300.0 `1743567824.010143 1743567300.0 `1743567834.010138 1743567300.0 `1743567844.010142 1743567300.0 `1743567854.009126 1743567300.0 `1743567884.010134 1743567300.0 `1743567894.010135 1743567300.0 `1743567904.010136 1743567300.0 `1743567914.010136 1743567300.0 `1743567925.010137 1743567300.0 `1743567934.009135 1743567300.0 `1743567944.010147 1743567300.0 `1743567954.010137 1743567300.0 `1743567964.010156 1743567300.0 `1743568004.00914 1743567300.0 `1743568014.010136 1743567300.0 `1743568024.010175 1743567300.0 `1743568034.010136 1743567300.0 `1743568044.010134 1743567300.0 `1743568054.010135 1743567300.0 `1743568065.010135 1743567300.0 `1743568074.009128 1743567300.0 `1743568084.010144 1743567300.0 `1743568094.010135 1743567300.0 `1743568114.010131 1743567300.0 `1743568124.010134 1743567300.0 `1743568134.010137 1743567300.0 `1743568144.009129 1743567300.0 `1743568154.010138 1743567300.0 `1743568164.010134 1743567300.0 `1743568174.010134 1743567300.0 `1743568184.010135 1743567300.0 `1743568194.010136 1743567300.0 `1743568204.010149 1743568200.0 `1743568215.010134 1743568200.0 `1743568224.009121 1743568200.0 `1743568244.010132 1743568200.0 `1743568254.010134 1743568200.0 `1743568264.01015 1743568200.0 `1743568274.010134 1743568200.0 `1743568284.010135 1743568200.0 `1743568294.009124 1743568200.0 `1743568304.010136 1743568200.0 `1743568314.010136 1743568200.0 `1743568324.01015 1743568200.0 `1743568334.010142 1743568200.0 `1743568364.009124 1743568200.0 `1743568374.010132 1743568200.0 `1743568384.010162 1743568200.0 `1743568394.010135 1743568200.0 `1743568404.010135 1743568200.0 `1743568414.01014 1743568200.0 `1743568424.010138 1743568200.0 `1743568434.00913 1743568200.0 `1743568444.010148 1743568200.0 `1743568474.010134 1743568200.0 `1743568484.010134 1743568200.0 `1743568494.010136 1743568200.0 `1743568505.010159 1743568200.0 `1743568514.009126 1743568200.0 `1743568524.010135 1743568200.0 `1743568534.010142 1743568200.0 `1743568544.010142 1743568200.0 `1743568554.010136 1743568200.0 `1743568564.010151 1743568200.0 `1743568574.010137 1743568200.0 `1743568584.009123 1743568200.0 `1743568594.010131 1743568200.0 `1743568614.010138 1743568200.0 `1743568624.010147 1743568200.0 `1743568634.010133 1743568200.0 `1743568644.010133 1743568200.0 `1743568654.009126 1743568200.0 `1743568664.010136 1743568200.0 `1743568674.010136 1743568200.0 `1743568684.010158 1743568200.0 `1743568694.010141 1743568200.0 `1743568704.010135 1743568200.0 `1743568714.010134 1743568200.0 `1743568754.010133 1743568200.0 `1743568764.010133 1743568200.0 `1743568774.01014 1743568200.0 `1743568784.010143 1743568200.0 `1743568795.010138 1743568200.0 `1743568804.009137 1743568200.0 `1743568814.010138 1743568200.0 `1743568824.010137 1743568200.0 `1743568834.010136 1743568200.0 `1743568844.010137 1743568200.0 `1743568874.009124 1743568200.0 `1743568884.010134 1743568200.0 `1743568894.010138 1743568200.0 `1743568904.010134 1743568200.0 `1743568914.010135 1743568200.0 `1743568924.010152 1743568200.0 `1743568934.010137 1743568200.0 `1743568954.010134 1743568200.0 `1743568964.010137 1743568200.0 `1743568974.010142 1743568200.0 `1743568984.010177 1743568200.0 `1743568994.010135 1743568200.0 `1743569004.010134 1743568200.0 `1743569024.010137 1743568200.0 `1743569044.010145 1743568200.0 `1743569054.010133 1743568200.0 `1743569085.010134 1743568200.0 `1743569094.009123 1743568200.0 `1743569104.010148 1743569100.0 `1743569114.010137 1743569100.0 `1743569124.010134 1743569100.0 `1743569134.010134 1743569100.0 `1743569154.010136 1743569100.0 `1743569164.009133 1743569100.0 `1743569174.010137 1743569100.0 `1743569184.010134 1743569100.0 `1743569194.010134 1743569100.0 `1743569204.010135 1743569100.0 `1743569224.01015 1743569100.0 `1743569244.010141 1743569100.0 `1743569264.010135 1743569100.0 `1743569284.01015 1743569100.0 `1743569294.010136 1743569100.0 `1743569374.010134 1743569100.0 `1743569414.010135 1743569100.0 `1743569424.010134 1743569100.0 `1743569434.010143 1743569100.0 `1743569444.010139 1743569100.0 `1743569464.010151 1743569100.0 `1743569494.010137 1743569100.0 `1743569504.010141 1743569100.0 `1743569514.01014 1743569100.0 `1743569524.00914 1743569100.0 `1743569554.010135 1743569100.0 `1743569574.010135 1743569100.0 `1743569584.010138 1743569100.0 `1743569595.010135 1743569100.0 `1743569614.010144 1743569100.0 `1743569634.010136 1743569100.0 `1743569644.010166 1743569100.0 `1743569684.010139 1743569100.0 `1743569704.010152 1743569100.0 `1743569724.010132 1743569100.0 `1743569734.010136 1743569100.0 `1743569744.009126 1743569100.0 `1743569764.010135 1743569100.0 `1743569784.010134 1743569100.0 `1743569804.010139 1743569100.0 `1743569824.009146 1743569100.0 `1743569834.010137 1743569100.0 `1743569844.010134 1743569100.0 `1743569864.010143 1743569100.0 `1743569874.010133 1743569100.0 `1743569885.010149 1743569100.0 `1743569904.010134 1743569100.0 `1743569924.010135 1743569100.0 `1743569934.010134 1743569100.0 `1743570014.010195 1743570000.0 `1743570034.01015 1743570000.0 `1743570054.010138 1743570000.0 `1743570064.010152 1743570000.0 `1743570073.009127 1743570000.0 `1743570094.010142 1743570000.0 `1743570104.010145 1743570000.0 `1743570134.010136 1743570000.0 `1743570143.009126 1743570000.0 `1743570153.010135 1743570000.0 `1743570164.010137 1743570000.0 `1743570184.010153 1743570000.0 `1743570194.010137 1743570000.0 `1743570204.010137 1743570000.0 `1743570213.009124 1743570000.0 `1743570244.010153 1743570000.0 `1743570254.010141 1743570000.0 `1743570264.010135 1743570000.0 `1743570284.010143 1743570000.0 `1743570293.009128 1743570000.0 `1743570334.010134 1743570000.0 `1743570384.010139 1743570000.0 `1743570394.010134 1743570000.0 `1743570424.010149 1743570000.0 `1743570433.009125 1743570000.0 `1743570444.010139 1743570000.0 `1743570454.010136 1743570000.0 `1743570464.01014 1743570000.0 `1743570474.010136 1743570000.0 `1743570494.010135 1743570000.0 `1743570524.010137 1743570000.0 `1743570534.010147 1743570000.0 `1743570544.010152 1743570000.0 `1743570564.010135 1743570000.0 `1743570573.009125 1743570000.0 `1743570583.010135 1743570000.0 `1743570604.010155 1743570000.0 `1743570624.010138 1743570000.0 `1743570634.010143 1743570000.0 `1743570644.010134 1743570000.0 `1743570684.01014 1743570000.0 `1743570704.010133 1743570000.0 `1743570714.010132 1743570000.0 `1743570723.009141 1743570000.0 `1743570744.010135 1743570000.0 `1743570764.010136 1743570000.0 `1743570774.010137 1743570000.0 `1743570784.010141 1743570000.0 `1743570793.009125 1743570000.0 `1743570803.010135 1743570000.0 `1743570824.010141 1743570000.0 `1743570854.010136 1743570000.0 `1743570863.009123 1743570000.0 `1743570873.010134 1743570000.0 `1743570884.010134 1743570000.0 `1743570884.010134 1743570000.0 `1743570884.010134 1743570000.0 `1743570904.010141 1743570900.0 `1743570904.010141 1743570900.0 `1743570904.010141 1743570900.0 `1743570914.010135 1743570900.0 `1743570914.010135 1743570900.0 `1743570914.010135 1743570900.0 `1743570924.010137 1743570900.0 `1743570924.010137 1743570900.0 `1743570924.010137 1743570900.0 `1743570934.010135 1743570900.0 `1743570934.010135 1743570900.0 `1743570934.010135 1743570900.0 `1743570943.009125 1743570900.0 `1743570943.009125 1743570900.0 `1743570943.009125 1743570900.0 `1743570954.010134 1743570900.0 `1743570994.010141 1743570900.0 `1743571024.010141 1743570900.0 `1743571064.010135 1743570900.0 `1743571074.010135 1743570900.0 `1743571124.010137 1743570900.0 `1743571134.010135 1743570900.0 `1743571154.010136 1743570900.0 `1743571163.009123 1743570900.0 `1743571174.010134 1743570900.0 `1743571214.010137 1743570900.0 `1743571224.010135 1743570900.0 `1743571284.010134 1743570900.0 `1743571294.010134 1743570900.0 `1743571303.009126 1743570900.0 `1743571313.010136 1743570900.0 `1743571324.010141 1743570900.0 `1743571334.010138 1743570900.0 `1743571354.010137 1743570900.0 `1743571364.010138 1743570900.0 `1743571373.009129 1743570900.0 `1743571404.010139 1743570900.0 `1743571414.010135 1743570900.0 `1743571424.010141 1743570900.0 `1743571434.010137 1743570900.0 `1743571444.010151 1743570900.0 `1743571453.009125 1743570900.0 `1743571464.010134 1743570900.0 `1743571474.010138 1743570900.0 `1743571504.010151 1743570900.0 `1743571514.010132 1743570900.0 `1743571523.009125 1743570900.0 `1743571534.010139 1743570900.0 `1743571544.010142 1743570900.0 `1743571554.010135 1743570900.0 `1743571564.010157 1743570900.0 `1743571574.010135 1743570900.0 `1743571584.010134 1743570900.0 `1743571593.009123 1743570900.0 `1743571603.010137 1743570900.0 `1743571614.010139 1743570900.0 `1743571624.010163 1743570900.0 `1743571654.010133 1743570900.0 `1743571663.009124 1743570900.0 `1743571673.010138 1743570900.0 `1743571684.010141 1743570900.0 `1743571694.01014 1743570900.0 `1743571704.010137 1743570900.0 `1743571714.010135 1743570900.0 `1743571724.010135 1743570900.0 `1743571734.010136 1743570900.0 `1743571743.009134 1743570900.0 `1743571754.010135 1743570900.0 `1743571784.010137 1743570900.0 `1743571794.010199 1743570900.0 `1743571804.010152 1743571800.0 `1743571813.009128 1743571800.0 `1743571824.010135 1743571800.0 `1743571834.01014 1743571800.0 `1743571844.010143 1743571800.0 `1743571854.010136 1743571800.0 `1743571864.01016 1743571800.0 `1743571874.010136 1743571800.0 `1743571883.009124 1743571800.0 `1743571894.010136 1743571800.0 `1743571904.010133 1743571800.0 `1743571924.010136 1743571800.0 `1743571934.010135 1743571800.0 `1743571944.010133 1743571800.0 `1743571953.009124 1743571800.0 `1743571963.010136 1743571800.0 `1743571974.010137 1743571800.0 `1743571984.010156 1743571800.0 `1743571994.010141 1743571800.0 `1743572004.010139 1743571800.0 `1743572014.010136 1743571800.0 `1743572054.010137 1743571800.0 `1743572064.010137 1743571800.0 `1743572074.010137 1743571800.0 `1743572084.010137 1743571800.0 `1743572094.010141 1743571800.0 `1743572103.00914 1743571800.0 `1743572114.010134 1743571800.0 `1743572124.010141 1743571800.0 `1743572134.010137 1743571800.0 `1743572144.010138 1743571800.0 `1743572154.010134 1743571800.0 `1743572194.010133 1743571800.0 `1743572204.010138 1743571800.0 `1743572214.010136 1743571800.0 `1743572224.010149 1743571800.0 `1743572234.010138 1743571800.0 `1743572243.009126 1743571800.0 `1743572264.010138 1743571800.0 `1743572274.010144 1743571800.0 `1743572284.010139 1743571800.0 `1743572294.010135 1743571800.0 `1743572304.010134 1743571800.0 `1743572334.010136 1743571800.0 `1743572344.010135 1743571800.0 `1743572354.010136 1743571800.0 `1743572364.010135 1743571800.0 `1743572374.010136 1743571800.0 `1743572384.01014 1743571800.0 `1743572393.009125 1743571800.0 `1743572404.010152 1743571800.0 `1743572414.010139 1743571800.0 `1743572454.010132 1743571800.0 `1743572463.009138 1743571800.0 `1743572474.010137 1743571800.0 `1743572484.010145 1743571800.0 `1743572494.010136 1743571800.0 `1743572504.010138 1743571800.0 `1743572514.010137 1743571800.0 `1743572524.010143 1743571800.0 `1743572533.00913 1743571800.0 `1743572543.010137 1743571800.0 `1743572554.010137 1743571800.0 `1743572564.010137 1743571800.0 `1743572604.010134 1743571800.0 `1743572613.009124 1743571800.0 `1743572624.010139 1743571800.0 `1743572634.010137 1743571800.0 `1743572644.010139 1743571800.0 `1743572654.010136 1743571800.0 `1743572664.010134 1743571800.0 `1743572674.010137 1743571800.0 `1743572683.009126 1743571800.0 `1743572694.010135 1743571800.0 `1743572704.010143 1743572700.0 `1743572734.010134 1743572700.0 `1743572744.010133 1743572700.0 `1743572753.009125 1743572700.0 `1743572763.010152 1743572700.0 `1743572774.010141 1743572700.0 `1743572784.010136 1743572700.0 `1743572794.01014 1743572700.0 `1743572804.010141 1743572700.0 `1743572814.010137 1743572700.0 `1743572824.010154 1743572700.0 `1743572833.009132 1743572700.0 `1743572844.010144 1743572700.0 `1743572854.010135 1743572700.0 `1743572884.010142 1743572700.0 `1743572894.010133 1743572700.0 `1743572903.009125 1743572700.0 `1743572914.010137 1743572700.0 `1743572924.010135 1743572700.0 `1743572934.010137 1743572700.0 `1743572944.010156 1743572700.0 `1743572954.010135 1743572700.0 `1743572964.010134 1743572700.0 `1743572973.009124 1743572700.0 `1743572984.010136 1743572700.0 `1743572994.010147 1743572700.0 `1743573004.01019 1743572700.0 `1743573014.010138 1743572700.0 `1743573034.010133 1743572700.0 `1743573043.009124 1743572700.0 list printed: [[0], [1, 2, 3, 4, 5, 6, 7], [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82], [83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147], [148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221], [222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270], [271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327], [328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397], [398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471], [472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.02276325225830078 ***** END SPLIT TIME ***** NUMBER BATCH : 10 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] result_one_balle_Type_JRM:{'day': '02042025', 'map_nb_amount': {0: 6, 1: 55, 2: 14, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 869.9999408721924, 'nb_balles_papier': 0.0007500000000000013, 'begin_time_port': 'image_02042025_06_00_14_010194m0.jpg 1e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007500000000000013 We reject this portfolio because of the condition_save_data : 2025-04-02 06:00:14.010194 ERROR missing amount info result_one_balle_Type_JRM:{'day': '02042025', 'map_nb_amount': {0: 11, 1: 49, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999928474426, 'nb_balles_papier': 0.000640000000000001, 'begin_time_port': 'image_02042025_06_15_04_010143m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.000640000000000001 We reject this portfolio because of the condition_save_data : 2025-04-02 06:15:04.010143 result_one_balle_Type_JRM:{'day': '02042025', 'map_nb_amount': {0: 10, 1: 54, 2: 10, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9989740848541, 'nb_balles_papier': 0.0007400000000000013, 'begin_time_port': 'image_02042025_06_30_04_010149m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007400000000000013 We reject this portfolio because of the condition_save_data : 2025-04-02 06:30:04.010149 ERROR missing amount info result_one_balle_Type_JRM:{'day': '02042025', 'map_nb_amount': {0: 2, 1: 37, 2: 9, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 829.9999859333038, 'nb_balles_papier': 0.0004800000000000006, 'begin_time_port': 'image_02042025_06_45_04_010148m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004800000000000006 We reject this portfolio because of the condition_save_data : 2025-04-02 06:45:04.010148 ERROR missing amount info result_one_balle_Type_JRM:{'day': '02042025', 'map_nb_amount': {0: 4, 1: 43, 2: 9, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 869.9999389648438, 'nb_balles_papier': 0.0005600000000000008, 'begin_time_port': 'image_02042025_07_00_14_010195m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005600000000000008 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 result_one_balle_Type_JRM:{'day': '02042025', 'map_nb_amount': {0: 5, 1: 39, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 890.0000581741333, 'nb_balles_papier': 0.0004900000000000006, 'begin_time_port': 'image_02042025_07_15_04_010141m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004900000000000006 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 result_one_balle_Type_JRM:{'day': '02042025', 'map_nb_amount': {0: 4, 1: 47, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999828338623, 'nb_balles_papier': 0.0005300000000000007, 'begin_time_port': 'image_02042025_07_30_04_10152.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005300000000000007 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 result_one_balle_Type_JRM:{'day': '02042025', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 338.9989809989929, 'nb_balles_papier': 0, 'begin_time_port': 'image_02042025_07_45_04_10143.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We have rejected 8 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 4 Still a lot to verify ! {21967515: [{'mtr_photo_id': 1349469000, 'mtr_portfolio_id': 21967515, 'datou_current_id': 2715698}, We expect two at most portfolio with same photos and datou_carac_id : 2 Still a lot to verify ! Still a lot to verify ! We need to add photos : {1349471206, 1349471303, 1349471176, 1349471306, 1349471179, 1349471181, 1349471309, 1349471312, 1349471187, 1349471315, 1349471198} Still a lot to verify ! Qualite : 0.04335168860141576 We don't need to reset the datou_current for this portfolio, que ce soit dans le cas ou il est fini (et found_correct devrait etre vrai, ou dans le cas ou il n'est pas fini, mais du coup on le retrouvera et mettra simplement à jour) # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=21967292 AND mptpi.`type`=3726 To do Qualite : 0.034342358176222956 We don't need to reset the datou_current for this portfolio, que ce soit dans le cas ou il est fini (et found_correct devrait etre vrai, ou dans le cas ou il n'est pas fini, mais du coup on le retrouvera et mettra simplement à jour) # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=21967515 AND mptpi.`type`=3726 To do Qualite : 0.04523367331598181 We don't need to reset the datou_current for this portfolio, que ce soit dans le cas ou il est fini (et found_correct devrait etre vrai, ou dans le cas ou il n'est pas fini, mais du coup on le retrouvera et mettra simplement à jour) # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=21968589 AND mptpi.`type`=3726 To do Qualite : 0.0510936909865175 Since we have set only the same portfolio in list_same_port_ids, it means the datou_current is finished and we need to re-insert it with the same id to finish the job (if we added new photos to the portfolio) We may have found the correct datou result for the same portfolio, but we will rerun it, since the portfolio may have been updated ! This function is not protected ! # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=21969192 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.8204951286315918 # DISPLAY ALL COLLECTED DATA : {'02042025': {'nb_upload': 502, 'nb_taggue_class': 447, 'nb_taggue_densite': 447}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1349471315, 1349471312, 1349471309, 1349471306, 1349471303, 1349471206, 1349471198, 1349471187, 1349471181, 1349471179, 1349471176, 1349471136, 1349471133, 1349471131, 1349471126, 1349471121, 1349471117, 1349471030, 1349470995, 1349470991, 1349470989, 1349470908, 1349470904, 1349470899, 1349470897, 1349470894, 1349470893, 1349470797, 1349470792, 1349470788, 1349470786, 1349470737, 1349470732, 1349470728, 1349470726, 1349470724, 1349470721, 1349470579, 1349470575, 1349470570, 1349470566, 1349470510, 1349470504, 1349470501, 1349470497, 1349470492, 1349470428, 1349470421, 1349470411, 1349470403, 1349470386, 1349470376, 1349470322, 1349470285, 1349470267, 1349470226, 1349470215, 1349470212, 1349470209, 1349470206, 1349470204, 1349470163, 1349470160, 1349470136, 1349470110, 1349470032, 1349470028, 1349470014, 1349470006, 1349469994, 1349469792, 1349469766, 1349469730, 1349469673, 1349469664, 1349469659, 1349469654, 1349469650, 1349469639, 1349469461, 1349469446, 1349469419, 1349469382, 1349469376, 1349469319, 1349469314, 1349469312, 1349469310, 1349469267, 1349469261, 1349469258, 1349469254, 1349469251, 1349469241, 1349469160, 1349469155, 1349469150, 1349469146, 1349469137, 1349469000] Looping around the photos to save general results len do output : 1 /21962613Didn'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 ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471315', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471312', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471309', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471306', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471303', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471206', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471198', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471187', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471181', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471179', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471176', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471136', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471133', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471131', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471126', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471121', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471117', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349471030', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470995', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470991', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470989', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470908', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470904', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470899', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470897', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470894', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470893', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470797', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470792', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470788', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470786', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470737', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470732', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470728', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470726', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470724', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470721', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470579', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470575', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470570', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470566', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470510', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470504', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470501', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470497', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470492', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470428', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470421', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470411', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470403', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470386', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470376', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470322', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470285', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470267', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470226', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470215', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470212', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470209', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470206', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470204', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470163', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470160', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470136', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470110', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470032', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470028', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470014', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349470006', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469994', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469792', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469766', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469730', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469673', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469664', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469659', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469654', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469650', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469639', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469461', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469446', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469419', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469382', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469376', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469319', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469314', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469312', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469310', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469267', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469261', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469258', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469254', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469251', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469241', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469160', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469155', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469150', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469146', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469137', None, None, None, None, None, '2715818') ('4876', None, None, None, None, None, None, None, '2715818') ('4876', '21962613', '1349469000', None, None, None, None, None, '2715818') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.027190208435058594 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.1008970737457275 time spend to save output : 0.028276920318603516 total time spend for step 1 : 1.129173994064331 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 1.42user 0.46system 0:04.60elapsed 41%CPU (0avgtext+0avgdata 101568maxresident)k 0inputs+128outputs (6major+49075minor)pagefaults 0swaps