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 : 3798816 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 : ['2712148'] with mtr_portfolio_ids : ['21928783'] and first list_photo_ids : [] new path : /proc/3798816/ 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 : 0.02254772186279297 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Tue Apr 1 08:28:28 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 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', 14), ('01', 12), ('02', 20), ('03', 25), ('04', 8), ('05', 222), ('06', 246), ('07', 246), ('08', 127)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 771} 01042025 21928783 Nombre de photos uploadées : 500 / 23040 (2%) 01042025 21928783 Nombre de photos taguées (types de déchets): 771 / 500 (154%) 01042025 21928783 Nombre de photos taguées (volume) : 771 / 500 (154%) elapsed_time : load_data_split_time_score 2.6226043701171875e-06 elapsed_time : order_list_meta_photo_and_scores 0.00030803680419921875 ?????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.04985523223876953 elapsed_time : insert_dashboard_record_day_entry 0.02270817756652832 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 elapsed_time : list_photo_by_hashtags 0.0164642333984375 photos_removed : len 0 elapsed_time : load_duplicate_info 0.03723311424255371 ***** BEGIN SPLIT TIME ***** True 1743465600.0 `1743481674.010136 1743480900.0 `1743481684.010141 1743480900.0 `1743481714.010141 1743480900.0 `1743481724.010137 1743480900.0 `1743481734.009124 1743480900.0 `1743481754.010135 1743480900.0 `1743481774.010134 1743480900.0 `1743481784.010138 1743480900.0 `1743481805.010172 1743481800.0 `1743481814.009129 1743481800.0 `1743481824.010134 1743481800.0 `1743481834.01014 1743481800.0 `1743481844.010144 1743481800.0 `1743481854.010138 1743481800.0 `1743481864.010146 1743481800.0 `1743481875.010135 1743481800.0 `1743481884.009126 1743481800.0 `1743481894.010134 1743481800.0 `1743481934.010137 1743481800.0 `1743481954.009134 1743481800.0 `1743481964.010135 1743481800.0 `1743481974.010135 1743481800.0 `1743481984.010166 1743481800.0 `1743481994.010138 1743481800.0 `1743482004.010135 1743481800.0 `1743482014.010135 1743481800.0 `1743482024.009125 1743481800.0 `1743482034.010136 1743481800.0 `1743482054.010141 1743481800.0 `1743482074.010135 1743481800.0 `1743482084.010134 1743481800.0 `1743482095.010135 1743481800.0 `1743482114.010136 1743481800.0 `1743482124.010135 1743481800.0 `1743482134.010136 1743481800.0 `1743482144.010134 1743481800.0 `1743482154.010135 1743481800.0 `1743482184.010133 1743481800.0 `1743482194.010132 1743481800.0 `1743482204.010135 1743481800.0 `1743482214.010139 1743481800.0 `1743482224.010151 1743481800.0 `1743482244.009124 1743481800.0 `1743482254.010139 1743481800.0 `1743482264.01014 1743481800.0 `1743482274.010136 1743481800.0 `1743482294.010136 1743481800.0 `1743482304.010134 1743481800.0 `1743482314.009125 1743481800.0 `1743482324.010138 1743481800.0 `1743482334.010137 1743481800.0 `1743482374.010132 1743481800.0 `1743482385.010135 1743481800.0 `1743482394.009125 1743481800.0 `1743482404.010163 1743481800.0 `1743482414.010134 1743481800.0 `1743482424.010134 1743481800.0 `1743482434.010142 1743481800.0 `1743482444.010136 1743481800.0 `1743482454.010137 1743481800.0 `1743482464.00913 1743481800.0 `1743482675.010137 1743481800.0 `1743482684.009124 1743481800.0 `1743482694.010137 1743481800.0 `1743482704.010163 1743482700.0 `1743482714.010138 1743482700.0 `1743482724.010138 1743482700.0 `1743482734.010141 1743482700.0 `1743482745.010142 1743482700.0 `1743482764.01015 1743482700.0 `1743482804.010138 1743482700.0 `1743482814.010137 1743482700.0 `1743482824.009142 1743482700.0 `1743482834.010138 1743482700.0 `1743482874.010135 1743482700.0 `1743482884.010145 1743482700.0 `1743482904.010134 1743482700.0 `1743482924.010137 1743482700.0 `1743482934.010136 1743482700.0 `1743482954.010136 1743482700.0 `1743482974.010138 1743482700.0 `1743482984.010137 1743482700.0 `1743483004.010139 1743482700.0 `1743483024.010135 1743482700.0 `1743483035.010146 1743482700.0 `1743483044.009125 1743482700.0 `1743483054.010142 1743482700.0 `1743483064.010152 1743482700.0 `1743483074.010136 1743482700.0 `1743483114.009125 1743482700.0 `1743483124.010157 1743482700.0 `1743483134.010142 1743482700.0 `1743483144.010135 1743482700.0 `1743483154.010142 1743482700.0 `1743483164.010141 1743482700.0 `1743483174.010137 1743482700.0 `1743483194.010139 1743482700.0 `1743483234.010139 1743482700.0 `1743483244.010137 1743482700.0 `1743483264.010137 1743482700.0 `1743483274.010144 1743482700.0 `1743483284.010138 1743482700.0 `1743483294.010136 1743482700.0 `1743483304.010144 1743482700.0 `1743483334.010133 1743482700.0 `1743483344.010135 1743482700.0 `1743483354.010136 1743482700.0 `1743483364.01015 1743482700.0 `1743483374.010135 1743482700.0 `1743483384.010135 1743482700.0 `1743483395.010136 1743482700.0 `1743483404.009123 1743482700.0 `1743483414.010137 1743482700.0 `1743483424.010151 1743482700.0 `1743483434.010134 1743482700.0 `1743483444.010133 1743482700.0 `1743483484.010148 1743482700.0 `1743483494.010137 1743482700.0 `1743483504.010133 1743482700.0 `1743483514.010145 1743482700.0 `1743483524.01014 1743482700.0 `1743483534.010137 1743482700.0 `1743483554.010013 1743482700.0 `1743483564.010144 1743482700.0 `1743483574.010136 1743482700.0 `1743483584.010135 1743482700.0 `1743483594.010136 1743482700.0 `1743483604.010135 1743483600.0 `1743483634.009123 1743483600.0 `1743483644.010135 1743483600.0 `1743483654.010134 1743483600.0 `1743483664.010135 1743483600.0 `1743483674.010134 1743483600.0 `1743483684.010135 1743483600.0 `1743483694.010135 1743483600.0 `1743483714.010137 1743483600.0 `1743483724.010138 1743483600.0 `1743483744.010135 1743483600.0 `1743483754.010135 1743483600.0 `1743483764.010138 1743483600.0 `1743483775.01014 1743483600.0 `1743483784.009141 1743483600.0 `1743483824.009682 1743483600.0 `1743483834.010134 1743483600.0 `1743483844.010155 1743483600.0 `1743483854.010137 1743483600.0 `1743483864.010138 1743483600.0 `1743483875.010144 1743483600.0 `1743483894.010138 1743483600.0 `1743483904.010149 1743483600.0 `1743483914.010136 1743483600.0 `1743483924.010137 1743483600.0 `1743483934.010135 1743483600.0 `1743483944.010136 1743483600.0 `1743483954.009128 1743483600.0 `1743483964.010149 1743483600.0 `1743483974.010135 1743483600.0 `1743484004.010135 1743483600.0 `1743484014.010135 1743483600.0 `1743484025.010155 1743483600.0 `1743484034.009126 1743483600.0 `1743484044.010135 1743483600.0 `1743484054.010134 1743483600.0 `1743484064.010137 1743483600.0 `1743484074.010137 1743483600.0 `1743484084.010151 1743483600.0 `1743484095.010136 1743483600.0 `1743484104.009126 1743483600.0 `1743484114.010138 1743483600.0 `1743484114.010138 1743483600.0 `1743484144.010145 1743483600.0 `1743484154.010136 1743483600.0 `1743484165.010133 1743483600.0 `1743484174.009123 1743483600.0 `1743484194.010137 1743483600.0 `1743484204.010169 1743483600.0 `1743484214.010138 1743483600.0 `1743484234.010135 1743483600.0 `1743484244.009126 1743483600.0 `1743484254.010135 1743483600.0 `1743484264.010157 1743483600.0 `1743484274.010135 1743483600.0 `1743484284.010136 1743483600.0 `1743484315.010133 1743483600.0 `1743484324.009127 1743483600.0 `1743484334.010135 1743483600.0 `1743484354.010137 1743483600.0 `1743484364.010137 1743483600.0 `1743484385.010145 1743483600.0 `1743484394.009127 1743483600.0 `1743484404.010138 1743483600.0 `1743484414.010136 1743483600.0 `1743484424.010138 1743483600.0 `1743484434.010139 1743483600.0 `1743484444.010146 1743483600.0 `1743484484.010133 1743483600.0 `1743484494.010132 1743483600.0 `1743484504.01014 1743484500.0 `1743484514.010135 1743484500.0 `1743484524.010138 1743484500.0 `1743484535.010136 1743484500.0 `1743484544.009125 1743484500.0 `1743484554.010134 1743484500.0 `1743484564.010141 1743484500.0 `1743484574.010138 1743484500.0 `1743484584.010136 1743484500.0 `1743484594.010136 1743484500.0 `1743484605.010135 1743484500.0 `1743484644.010135 1743484500.0 `1743484664.010138 1743484500.0 `1743484684.00914 1743484500.0 `1743484694.010137 1743484500.0 `1743484704.010139 1743484500.0 `1743484714.010138 1743484500.0 `1743484724.010135 1743484500.0 `1743484734.010136 1743484500.0 `1743484744.010139 1743484500.0 `1743484755.010135 1743484500.0 `1743484794.010135 1743484500.0 `1743484884.010135 1743484500.0 `1743484894.010138 1743484500.0 `1743484904.009124 1743484500.0 `1743484954.009522 1743484500.0 `1743484964.010136 1743484500.0 `1743484974.010137 1743484500.0 `1743484984.010145 1743484500.0 `1743485024.009125 1743484500.0 `1743485034.010133 1743484500.0 `1743485044.010162 1743484500.0 `1743485064.010138 1743484500.0 `1743485074.010142 1743484500.0 `1743485114.010138 1743484500.0 `1743485124.010137 1743484500.0 `1743485184.01014 1743484500.0 `1743485194.010144 1743484500.0 `1743485214.010137 1743484500.0 `1743485224.010137 1743484500.0 `1743485235.010136 1743484500.0 `1743485244.009123 1743484500.0 `1743485264.01014 1743484500.0 `1743485274.010135 1743484500.0 `1743485284.010138 1743484500.0 `1743485294.010136 1743484500.0 `1743485305.010132 1743484500.0 `1743485334.010134 1743484500.0 `1743485374.010141 1743484500.0 `1743485384.009124 1743484500.0 `1743485394.010135 1743484500.0 `1743485404.010147 1743485400.0 `1743485414.010135 1743485400.0 `1743485424.010134 1743485400.0 `1743485444.010137 1743485400.0 `1743485455.010136 1743485400.0 `1743485464.009139 1743485400.0 `1743485474.010139 1743485400.0 `1743485484.01014 1743485400.0 `1743485494.010135 1743485400.0 `1743485514.010135 1743485400.0 `1743485525.010155 1743485400.0 `1743485544.010137 1743485400.0 `1743485554.010134 1743485400.0 `1743485564.010134 1743485400.0 `1743485574.010135 1743485400.0 `1743485584.010148 1743485400.0 `1743485595.010134 1743485400.0 `1743485634.010136 1743485400.0 `1743485644.01014 1743485400.0 `1743485654.01014 1743485400.0 `1743485664.010136 1743485400.0 `1743485675.01014 1743485400.0 `1743485694.010141 1743485400.0 `1743485704.010153 1743485400.0 `1743485714.010136 1743485400.0 `1743485724.010137 1743485400.0 `1743485734.010137 1743485400.0 `1743485745.010139 1743485400.0 `1743485784.010135 1743485400.0 `1743485794.010137 1743485400.0 `1743485804.010136 1743485400.0 `1743485815.010138 1743485400.0 `1743485824.00914 1743485400.0 `1743485834.010141 1743485400.0 `1743485844.010139 1743485400.0 `1743485854.010139 1743485400.0 `1743485864.010138 1743485400.0 `1743485894.009124 1743485400.0 `1743485904.010133 1743485400.0 `1743485914.010133 1743485400.0 `1743485924.010135 1743485400.0 `1743485934.010135 1743485400.0 `1743485944.010142 1743485400.0 `1743485954.010137 1743485400.0 `1743485964.009126 1743485400.0 `1743485974.010135 1743485400.0 `1743485984.010135 1743485400.0 `1743485994.010137 1743485400.0 `1743486004.010139 1743485400.0 `1743486014.010135 1743485400.0 `1743486024.010133 1743485400.0 `1743486064.01015 1743485400.0 `1743486074.010136 1743485400.0 `1743486084.010134 1743485400.0 `1743486094.010142 1743485400.0 `1743486105.010136 1743485400.0 `1743486124.010149 1743485400.0 `1743486134.010139 1743485400.0 `1743486144.010136 1743485400.0 `1743486154.010137 1743485400.0 `1743486164.010134 1743485400.0 `1743486174.010135 1743485400.0 `1743486184.009143 1743485400.0 `1743486204.010135 1743485400.0 `1743486224.010136 1743485400.0 `1743486234.010137 1743485400.0 `1743486274.010133 1743485400.0 `1743486294.010136 1743485400.0 `1743486304.010138 1743486300.0 `1743486314.010136 1743486300.0 `1743486325.010138 1743486300.0 `1743486334.009134 1743486300.0 `1743486354.010137 1743486300.0 `1743486395.010137 1743486300.0 `1743486404.00913 1743486300.0 `1743486434.010139 1743486300.0 `1743486454.010137 1743486300.0 `1743486465.010139 1743486300.0 `1743486474.009127 1743486300.0 `1743486484.010148 1743486300.0 `1743486524.010133 1743486300.0 `1743486535.010134 1743486300.0 `1743486544.009137 1743486300.0 `1743486554.010136 1743486300.0 `1743486574.010142 1743486300.0 `1743486584.010142 1743486300.0 `1743486594.010145 1743486300.0 `1743486605.010162 1743486300.0 `1743486614.009125 1743486300.0 `1743486624.010135 1743486300.0 `1743486644.010135 1743486300.0 `1743486654.010137 1743486300.0 `1743486694.010135 1743486300.0 `1743486704.010135 1743486300.0 `1743486714.010137 1743486300.0 `1743486724.010147 1743486300.0 `1743486744.010135 1743486300.0 `1743486764.009127 1743486300.0 `1743486784.010156 1743486300.0 `1743486804.010134 1743486300.0 `1743486814.010142 1743486300.0 `1743486825.010138 1743486300.0 `1743486834.009129 1743486300.0 `1743486844.010153 1743486300.0 `1743486854.010137 1743486300.0 `1743486864.010137 1743486300.0 `1743486884.010137 1743486300.0 `1743486895.010136 1743486300.0 `1743486954.010136 1743486300.0 `1743486984.010138 1743486300.0 `1743486994.010141 1743486300.0 `1743487004.010145 1743486300.0 `1743487024.010153 1743486300.0 `1743487045.010136 1743486300.0 `1743487054.00913 1743486300.0 `1743487064.010141 1743486300.0 `1743487074.010136 1743486300.0 `1743487094.010138 1743486300.0 `1743487115.010133 1743486300.0 `1743487124.009125 1743486300.0 `1743487134.010136 1743486300.0 `1743487153.010361 1743486300.0 `1743487163.010147 1743486300.0 `1743487184.010136 1743486300.0 `1743487194.010136 1743486300.0 `1743487233.010134 1743487200.0 `1743487243.010066 1743487200.0 `1743487253.010134 1743487200.0 `1743487264.010139 1743487200.0 `1743487274.010136 1743487200.0 `1743487283.009125 1743487200.0 `1743487293.010137 1743487200.0 `1743487303.010138 1743487200.0 `1743487313.010138 1743487200.0 `1743487323.01016 1743487200.0 `1743487334.01014 1743487200.0 `1743487344.010136 1743487200.0 `1743487353.009124 1743487200.0 `1743487363.010133 1743487200.0 `1743487373.010137 1743487200.0 `1743487383.010157 1743487200.0 `1743487393.010136 1743487200.0 `1743487414.010132 1743487200.0 `1743487424.010076 1743487200.0 `1743487433.009124 1743487200.0 `1743487443.010137 1743487200.0 `1743487453.010139 1743487200.0 `1743487463.010135 1743487200.0 `1743487473.010139 1743487200.0 `1743487484.010138 1743487200.0 `1743487494.01014 1743487200.0 `1743487503.009133 1743487200.0 `1743487513.010152 1743487200.0 `1743487523.010134 1743487200.0 `1743487533.010134 1743487200.0 `1743487543.010134 1743487200.0 `1743487564.010147 1743487200.0 `1743487573.009127 1743487200.0 `1743487603.010135 1743487200.0 `1743487613.010137 1743487200.0 `1743487623.010154 1743487200.0 `1743487634.010136 1743487200.0 `1743487653.010136 1743487200.0 `1743487663.010137 1743487200.0 `1743487673.010135 1743487200.0 `1743487683.010147 1743487200.0 `1743487694.010136 1743487200.0 `1743487704.010136 1743487200.0 `1743487714.010135 1743487200.0 `1743487723.00913 1743487200.0 `1743487733.010135 1743487200.0 `1743487774.010134 1743487200.0 `1743487784.010134 1743487200.0 `1743487793.009126 1743487200.0 `1743487803.010148 1743487200.0 `1743487813.010141 1743487200.0 `1743487823.010134 1743487200.0 `1743487833.010142 1743487200.0 `1743487844.010141 1743487200.0 `1743487854.010136 1743487200.0 `1743487863.009127 1743487200.0 `1743487883.010137 1743487200.0 `1743487893.010138 1743487200.0 `1743487903.010136 1743487200.0 `1743487914.010139 1743487200.0 `1743487953.010172 1743487200.0 `1743487963.010135 1743487200.0 `1743487973.01014 1743487200.0 `1743487984.01016 1743487200.0 `1743487994.010142 1743487200.0 `1743488013.01014 1743487200.0 `1743488033.010138 1743487200.0 `1743488043.010144 1743487200.0 `1743488054.010132 1743487200.0 `1743488064.010133 1743487200.0 `1743488073.009125 1743487200.0 `1743488083.010136 1743487200.0 `1743488093.010134 1743487200.0 `1743488113.010134 1743488100.0 `1743488124.010139 1743488100.0 `1743488134.010137 1743488100.0 `1743488144.010139 1743488100.0 `1743488153.00913 1743488100.0 `1743488163.010158 1743488100.0 `1743488173.01014 1743488100.0 `1743488183.010136 1743488100.0 `1743488193.010135 1743488100.0 `1743488204.010136 1743488100.0 `1743488214.010135 1743488100.0 `1743488223.009138 1743488100.0 `1743488233.010138 1743488100.0 `1743488274.010134 1743488100.0 `1743488284.010162 1743488100.0 `1743488303.010135 1743488100.0 `1743488323.010142 1743488100.0 `1743488333.010136 1743488100.0 `1743488344.010151 1743488100.0 `1743488354.010138 1743488100.0 `1743488363.009124 1743488100.0 `1743488373.010133 1743488100.0 `1743488383.010135 1743488100.0 `1743488393.010136 1743488100.0 `1743488403.010141 1743488100.0 `1743488434.010136 1743488100.0 `1743488443.009123 1743488100.0 `1743488453.010133 1743488100.0 `1743488463.01014 1743488100.0 `1743488473.010136 1743488100.0 `1743488483.010136 1743488100.0 `1743488494.010135 1743488100.0 `1743488513.009126 1743488100.0 `1743488523.01014 1743488100.0 `1743488543.010137 1743488100.0 `1743488564.010135 1743488100.0 `1743488574.010137 1743488100.0 `1743488583.009141 1743488100.0 `1743488593.010139 1743488100.0 `1743488603.010149 1743488100.0 `1743488613.010145 1743488100.0 `1743488634.010136 1743488100.0 `1743488653.009124 1743488100.0 `1743488663.010134 1743488100.0 `1743488673.010138 1743488100.0 `1743488683.010134 1743488100.0 `1743488693.010136 1743488100.0 `1743488704.010185 1743488100.0 `1743488714.010139 1743488100.0 `1743488723.009124 1743488100.0 `1743488733.010134 1743488100.0 `1743488753.010136 1743488100.0 `1743488774.010147 1743488100.0 `1743488784.010146 1743488100.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.020262956619262695 ***** END SPLIT TIME ***** NUMBER BATCH : 9 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': '01042025', 'map_nb_amount': {0: 0, 1: 8, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 110.00000214576721, 'nb_balles_papier': 8e-05, 'begin_time_port': 'image_01042025_06_27_54_010136m0.jpg 5e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 8e-05 We reject this portfolio because of the condition_save_data : 2025-04-01 06:27:54.010136 ERROR missing amount info result_one_balle_Type_JRM:{'day': '01042025', 'map_nb_amount': {0: 6, 1: 39, 2: 10, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 888.9999651908875, 'nb_balles_papier': 0.0005500000000000008, 'begin_time_port': 'image_01042025_06_30_05_010172m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005500000000000008 We reject this portfolio because of the condition_save_data : 2025-04-01 06:30:05.010172 result_one_balle_Type_JRM:{'day': '01042025', 'map_nb_amount': {0: 6, 1: 49, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.999972820282, 'nb_balles_papier': 0.000630000000000001, 'begin_time_port': 'image_01042025_06_45_04_010163m0.jpg 1e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.000630000000000001 We reject this portfolio because of the condition_save_data : 2025-04-01 06:45:04.010163 result_one_balle_Type_JRM:{'day': '01042025', 'map_nb_amount': {0: 7, 1: 56, 2: 7, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.999997138977, 'nb_balles_papier': 0.0007000000000000012, 'begin_time_port': 'image_01042025_07_00_04_010135m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007000000000000012 We reject this portfolio because of the condition_save_data : 2025-04-01 07:00:04.010135 result_one_balle_Type_JRM:{'day': '01042025', 'map_nb_amount': {0: 0, 1: 45, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999949932098, 'nb_balles_papier': 0.0005100000000000007, 'begin_time_port': 'image_01042025_07_15_04_010140m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005100000000000007 We reject this portfolio because of the condition_save_data : 2025-04-01 07:15:04.010140 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': '01042025', 'map_nb_amount': {0: 2, 1: 49, 2: 10, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999887943268, 'nb_balles_papier': 0.000620000000000001, 'begin_time_port': 'image_01042025_07_30_04_010147m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.000620000000000001 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': '01042025', 'map_nb_amount': {0: 2, 1: 28, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999978542328, 'nb_balles_papier': 0.00034000000000000024, 'begin_time_port': 'image_01042025_07_45_04_10138.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00034000000000000024 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 result_one_balle_Type_JRM:{'day': '01042025', 'map_nb_amount': {0: 4, 1: 30, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 860.0, 'nb_balles_papier': 0.00038000000000000035, 'begin_time_port': 'image_01042025_08_00_33_010134m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00038000000000000035 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': '01042025', 'map_nb_amount': {0: 2, 1: 24, 2: 2, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 671.000011920929, 'nb_balles_papier': 0.0002900000000000001, 'begin_time_port': 'image_01042025_08_15_13_010134m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0002900000000000001 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 4 Still a lot to verify ! Still a lot to verify ! Still a lot to verify ! We need to add photos : {1349226018, 1349226021, 1349226025, 1349225930, 1349225935, 1349225938, 1349225946, 1349225950} Still a lot to verify ! Qualite : 0.045723350067073176 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`=21938116 AND mptpi.`type`=3726 To do Qualite : 0.05708466206649813 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`=21938715 AND mptpi.`type`=3726 To do Qualite : 0.05484564983328607 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`=21939479 AND mptpi.`type`=3726 To do Qualite : 0.053604049167504365 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`=21940075 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.6189918518066406 # DISPLAY ALL COLLECTED DATA : {'01042025': {'nb_upload': 500, 'nb_taggue_class': 771, 'nb_taggue_densite': 771}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1349226025, 1349226021, 1349226018, 1349225950, 1349225946, 1349225938, 1349225935, 1349225930, 1349225896, 1349225892, 1349225883, 1349225880, 1349225877, 1349225831, 1349225821, 1349225817, 1349225813, 1349225810, 1349225772, 1349225770, 1349225765, 1349225761, 1349225727, 1349225722, 1349225719, 1349225716, 1349225713, 1349225664, 1349225661, 1349225657, 1349225654, 1349225641, 1349225636, 1349225625, 1349225588, 1349225579, 1349225564, 1349225365, 1349225356, 1349225345, 1349225344, 1349225300, 1349225292, 1349225284, 1349225239, 1349225237, 1349225231, 1349225176, 1349225174, 1349225170, 1349225125, 1349225123, 1349225120, 1349225118, 1349225117, 1349225078, 1349225072, 1349225069, 1349225066, 1349225062, 1349225058, 1349225020, 1349225016, 1349225007, 1349224997, 1349224884, 1349224864, 1349224859, 1349224817, 1349224811, 1349224806, 1349224801, 1349224797, 1349224769, 1349224764, 1349224758, 1349224751, 1349224744, 1349224735, 1349224661, 1349224654, 1349224649, 1349224612, 1349224609, 1349224606, 1349224600, 1349224594, 1349224588, 1349224469, 1349224402, 1349224319, 1349224306, 1349224296, 1349224122, 1349224114, 1349224100, 1349224087, 1349223942, 1349223907, 1349223870] Looping around the photos to save general results len do output : 1 /21928783Didn'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, '2712148') ('4876', '21928783', '1349226025', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349226021', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349226018', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225950', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225946', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225938', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225935', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225930', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225896', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225892', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225883', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225880', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225877', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225831', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225821', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225817', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225813', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225810', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225772', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225770', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225765', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225761', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225727', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225722', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225719', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225716', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225713', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225664', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225661', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225657', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225654', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225641', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225636', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225625', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225588', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225579', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225564', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225365', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225356', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225345', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225344', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225300', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225292', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225284', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225239', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225237', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225231', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225176', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225174', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225170', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225125', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225123', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225120', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225118', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225117', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225078', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225072', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225069', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225066', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225062', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225058', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225020', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225016', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349225007', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224997', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224884', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224864', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224859', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224817', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224811', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224806', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224801', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224797', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224769', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224764', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224758', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224751', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224744', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224735', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224661', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224654', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224649', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224612', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224609', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224606', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224600', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224594', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224588', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224469', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224402', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224319', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224306', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224296', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224122', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224114', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224100', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349224087', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349223942', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349223907', None, None, None, None, None, '2712148') ('4876', None, None, None, None, None, None, None, '2712148') ('4876', '21928783', '1349223870', None, None, None, None, None, '2712148') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.4662022590637207 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.0020568370819092 time spend to save output : 0.46747398376464844 total time spend for step 1 : 1.4695308208465576 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 1.18user 0.68system 0:04.82elapsed 38%CPU (0avgtext+0avgdata 102192maxresident)k 576inputs+120outputs (3major+49267minor)pagefaults 0swaps