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 : 3080198 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 : ['2582065'] with mtr_portfolio_ids : ['20493659'] and first list_photo_ids : [] new path : /proc/3080198/ 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 : 0.06034445762634277 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Feb 13 09:34:28 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', 8), ('01', 6), ('02', 9), ('03', 4), ('04', 6), ('05', 210), ('06', 260), ('07', 254), ('08', 183), ('09', 3)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 882} 13022025 20493659 Nombre de photos uploadées : 291 / 23040 (1%) 13022025 20493659 Nombre de photos taguées (types de déchets): 882 / 291 (303%) 13022025 20493659 Nombre de photos taguées (volume) : 882 / 291 (303%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0003688335418701172 ???????????????? elapsed_time : fill_and_build_computed_from_old_data 0.014397859573364258 elapsed_time : insert_dashboard_record_day_entry 0.028022050857543945 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 elapsed_time : list_photo_by_hashtags 0.015661001205444336 photos_removed : len 0 elapsed_time : load_duplicate_info 0.011832237243652344 ***** BEGIN SPLIT TIME ***** True 1739404800.0 `1739428405.010137 1739428200.0 `1739428475.010143 1739428200.0 `1739428494.010135 1739428200.0 `1739428504.010164 1739428200.0 `1739428535.010146 1739428200.0 `1739428545.010145 1739428200.0 `1739428554.009129 1739428200.0 `1739428564.010142 1739428200.0 `1739428574.01014 1739428200.0 `1739428584.010136 1739428200.0 `1739428594.010142 1739428200.0 `1739428605.010149 1739428200.0 `1739428615.010137 1739428200.0 `1739428624.009136 1739428200.0 `1739428634.01014 1739428200.0 `1739428644.010138 1739428200.0 `1739428654.010138 1739428200.0 `1739428685.01014 1739428200.0 `1739428694.009126 1739428200.0 `1739428704.010142 1739428200.0 `1739428724.010138 1739428200.0 `1739428734.010139 1739428200.0 `1739428744.01015 1739428200.0 `1739428755.01014 1739428200.0 `1739428765.01014 1739428200.0 `1739428774.009128 1739428200.0 `1739428794.010137 1739428200.0 `1739428814.010142 1739428200.0 `1739428835.010135 1739428200.0 `1739428844.009127 1739428200.0 `1739428874.010138 1739428200.0 `1739428884.010137 1739428200.0 `1739428895.010141 1739428200.0 `1739428905.010142 1739428200.0 `1739428944.010134 1739428200.0 `1739428954.010157 1739428200.0 `1739428965.010148 1739428200.0 `1739428975.010136 1739428200.0 `1739428984.009149 1739428200.0 `1739429004.010139 1739428200.0 `1739429014.010135 1739428200.0 `1739429035.010139 1739428200.0 `1739429054.009128 1739428200.0 `1739429064.01014 1739428200.0 `1739429094.010137 1739428200.0 `1739429105.010155 1739429100.0 `1739429115.010137 1739429100.0 `1739429134.01015 1739429100.0 `1739429144.010153 1739429100.0 `1739429164.010158 1739429100.0 `1739429175.010141 1739429100.0 `1739429185.010137 1739429100.0 `1739429194.009127 1739429100.0 `1739429204.010137 1739429100.0 `1739429214.010138 1739429100.0 `1739429245.010136 1739429100.0 `1739429255.010141 1739429100.0 `1739429264.009127 1739429100.0 `1739429274.010141 1739429100.0 `1739429294.010142 1739429100.0 `1739429304.010138 1739429100.0 `1739429315.010142 1739429100.0 `1739429325.010147 1739429100.0 `1739429344.01015 1739429100.0 `1739429354.010136 1739429100.0 `1739429364.010137 1739429100.0 `1739429385.010142 1739429100.0 `1739429395.010139 1739429100.0 `1739429465.010158 1739429100.0 `1739429484.010137 1739429100.0 `1739429504.010144 1739429100.0 `1739429514.010135 1739429100.0 `1739429525.010154 1739429100.0 `1739429535.010144 1739429100.0 `1739429544.00913 1739429100.0 `1739429554.010155 1739429100.0 `1739429564.010159 1739429100.0 `1739429574.010144 1739429100.0 `1739429584.010156 1739429100.0 `1739429605.010137 1739429100.0 `1739429624.010148 1739429100.0 `1739429634.010143 1739429100.0 `1739429644.010143 1739429100.0 `1739429654.01014 1739429100.0 `1739429665.010135 1739429100.0 `1739429694.010141 1739429100.0 `1739429704.010155 1739429100.0 `1739429714.010141 1739429100.0 `1739429724.010136 1739429100.0 `1739429735.010145 1739429100.0 `1739429745.010141 1739429100.0 `1739429754.009132 1739429100.0 `1739429764.010154 1739429100.0 `1739429774.010142 1739429100.0 `1739429784.010136 1739429100.0 `1739429834.010143 1739429100.0 `1739429844.010143 1739429100.0 `1739429864.010144 1739429100.0 `1739429874.010134 1739429100.0 `1739429885.01015 1739429100.0 `1739429894.009129 1739429100.0 `1739429904.010138 1739429100.0 `1739429914.010142 1739429100.0 `1739429924.010149 1739429100.0 `1739429934.010141 1739429100.0 `1739430014.010179 1739430000.0 `1739430025.010141 1739430000.0 `1739430045.010137 1739430000.0 `1739430055.010139 1739430000.0 `1739430074.009127 1739430000.0 `1739430084.010137 1739430000.0 `1739430095.010146 1739430000.0 `1739430105.010142 1739430000.0 `1739430115.010139 1739430000.0 `1739430125.010162 1739430000.0 `1739430135.010139 1739430000.0 `1739430144.00913 1739430000.0 `1739430154.010138 1739430000.0 `1739430185.010149 1739430000.0 `1739430195.010135 1739430000.0 `1739430205.010135 1739430000.0 `1739430215.010142 1739430000.0 `1739430224.009127 1739430000.0 `1739430235.010138 1739430000.0 `1739430245.010146 1739430000.0 `1739430255.010138 1739430000.0 `1739430265.010135 1739430000.0 `1739430275.010136 1739430000.0 `1739430285.010141 1739430000.0 `1739430294.009129 1739430000.0 `1739430305.010157 1739430000.0 `1739430345.010134 1739430000.0 `1739430355.010137 1739430000.0 `1739430395.010142 1739430000.0 `1739430405.010143 1739430000.0 `1739430415.010139 1739430000.0 `1739430425.010149 1739430000.0 `1739430434.009127 1739430000.0 `1739430444.010136 1739430000.0 `1739430455.010144 1739430000.0 `1739430465.01014 1739430000.0 `1739430504.009127 1739430000.0 `1739430515.010149 1739430000.0 `1739430545.010155 1739430000.0 `1739430555.01014 1739430000.0 `1739430565.01014 1739430000.0 `1739430574.009136 1739430000.0 `1739430585.010157 1739430000.0 `1739430595.01014 1739430000.0 `1739430605.01017 1739430000.0 `1739430615.01014 1739430000.0 `1739430625.010135 1739430000.0 `1739430635.010145 1739430000.0 `1739430675.010134 1739430000.0 `1739430685.010133 1739430000.0 `1739430695.010142 1739430000.0 `1739430905.010161 1739430900.0 `1739430915.010136 1739430900.0 `1739430935.01014 1739430900.0 `1739430945.010139 1739430900.0 `1739430955.010137 1739430900.0 `1739430965.01015 1739430900.0 `1739430975.010138 1739430900.0 `1739430985.010136 1739430900.0 `1739430994.009126 1739430900.0 `1739431005.010136 1739430900.0 `1739431015.010137 1739430900.0 `1739431025.010163 1739430900.0 `1739431035.010137 1739430900.0 `1739431045.010135 1739430900.0 `1739431055.010136 1739430900.0 `1739431064.009125 1739430900.0 `1739431115.010133 1739430900.0 `1739431125.010134 1739430900.0 `1739431165.010134 1739430900.0 `1739431195.010137 1739430900.0 `1739431205.01015 1739430900.0 `1739431235.010141 1739430900.0 `1739431265.01016 1739430900.0 `1739431275.010134 1739430900.0 `1739431315.010142 1739430900.0 `1739431325.01016 1739430900.0 `1739431335.010135 1739430900.0 `1739431365.01015 1739430900.0 `1739431395.010136 1739430900.0 `1739431405.010135 1739430900.0 `1739431415.010142 1739430900.0 `1739431445.01015 1739430900.0 `1739431465.010134 1739430900.0 `1739431494.009128 1739430900.0 `1739431505.010166 1739430900.0 `1739431535.010146 1739430900.0 `1739431585.010142 1739430900.0 `1739431595.010149 1739430900.0 `1739431605.010149 1739430900.0 `1739431675.010137 1739430900.0 `1739431714.010144 1739430900.0 `1739431725.010138 1739430900.0 `1739431735.010134 1739430900.0 `1739431745.010143 1739430900.0 `1739431755.010136 1739430900.0 `1739431765.010134 1739430900.0 `1739431784.010148 1739430900.0 `1739431805.010157 1739431800.0 `1739431815.01014 1739431800.0 `1739431825.010138 1739431800.0 `1739431844.009126 1739431800.0 `1739431854.010137 1739431800.0 `1739431865.010152 1739431800.0 `1739431875.010138 1739431800.0 `1739431885.010136 1739431800.0 `1739431905.010137 1739431800.0 `1739431915.01014 1739431800.0 `1739431935.010142 1739431800.0 `1739431945.010134 1739431800.0 `1739431965.010153 1739431800.0 `1739432005.010148 1739431800.0 `1739432025.010141 1739431800.0 `1739432034.009128 1739431800.0 `1739432045.010161 1739431800.0 `1739432125.010143 1739431800.0 `1739432145.010142 1739431800.0 `1739432155.010139 1739431800.0 `1739432174.009136 1739431800.0 `1739432184.010135 1739431800.0 `1739432205.010139 1739431800.0 `1739432225.010168 1739431800.0 `1739432235.010141 1739431800.0 `1739432254.010152 1739431800.0 `1739432275.010138 1739431800.0 `1739432295.010144 1739431800.0 `1739432305.010143 1739431800.0 `1739432324.010136 1739431800.0 `1739432355.010142 1739431800.0 `1739432365.010135 1739431800.0 `1739432384.009132 1739431800.0 `1739432394.010143 1739431800.0 `1739432435.010142 1739431800.0 `1739432445.010139 1739431800.0 `1739432464.010154 1739431800.0 `1739432985.01014 1739432700.0 `1739433035.010145 1739432700.0 `1739433055.010141 1739432700.0 `1739433065.010155 1739432700.0 `1739433075.010143 1739432700.0 `1739433084.009128 1739432700.0 `1739433094.010145 1739432700.0 `1739433105.010145 1739432700.0 `1739433115.010154 1739432700.0 `1739433125.010171 1739432700.0 `1739433135.010137 1739432700.0 `1739433145.010136 1739432700.0 `1739433154.009126 1739432700.0 `1739433165.010152 1739432700.0 `1739433175.010137 1739432700.0 `1739433205.010135 1739432700.0 `1739433215.010135 1739432700.0 `1739433224.009128 1739432700.0 `1739433234.010139 1739432700.0 `1739433245.01016 1739432700.0 `1739433255.010141 1739432700.0 `1739433265.010146 1739432700.0 `1739433275.010149 1739432700.0 `1739433285.01014 1739432700.0 `1739433294.009132 1739432700.0 `1739433315.010143 1739432700.0 `1739433325.010152 1739432700.0 `1739433345.010134 1739432700.0 `1739433355.010136 1739432700.0 `1739433364.00913 1739432700.0 `1739433375.010138 1739432700.0 `1739433385.010145 1739432700.0 `1739433395.010161 1739432700.0 `1739433405.010153 1739432700.0 `1739433415.010145 1739432700.0 `1739433425.010163 1739432700.0 `1739433434.009131 1739432700.0 `1739433465.010137 1739432700.0 `1739433475.010134 1739432700.0 `1739433485.010164 1739432700.0 `1739433495.010142 1739432700.0 `1739433515.010144 1739432700.0 `1739433525.01014 1739432700.0 `1739433535.010138 1739432700.0 `1739433554.010981 1739432700.0 `1739433563.009126 1739432700.0 `1739433573.010137 1739432700.0 `1739433584.010145 1739432700.0 `1739433814.010143 1739433600.0 `1739434364.010141 1739433600.0 `1739434914.010136 1739434500.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.01396942138671875 ***** END SPLIT TIME ***** NUMBER BATCH : 8 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': '13022025', 'map_nb_amount': {0: 5, 1: 29, 2: 11, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 689.0, 'nb_balles_papier': 0.00045000000000000053, 'begin_time_port': 'image_13022025_07_33_25_010137m0.jpg 2e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00045000000000000053 We reject this portfolio because of the condition_save_data : 2025-02-13 07:33:25.010137 result_one_balle_Type_JRM:{'day': '13022025', 'map_nb_amount': {0: 6, 1: 48, 2: 5, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 828.9999859333038, 'nb_balles_papier': 0.0006000000000000009, 'begin_time_port': 'image_13022025_07_45_05_010155m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006000000000000009 We reject this portfolio because of the condition_save_data : 2025-02-13 07:45:05.010155 result_one_balle_Type_JRM:{'day': '13022025', 'map_nb_amount': {0: 4, 1: 42, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 680.9999630451202, 'nb_balles_papier': 0.0005100000000000007, 'begin_time_port': 'image_13022025_08_00_14_010179m0.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 : 2025-02-13 08:00:14.010179 ERROR missing amount info result_one_balle_Type_JRM:{'day': '13022025', 'map_nb_amount': {0: 6, 1: 31, 2: 9, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 878.9999871253967, 'nb_balles_papier': 0.00046000000000000056, 'begin_time_port': 'image_13022025_08_15_05_010161m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00046000000000000056 We reject this portfolio because of the condition_save_data : 2025-02-13 08:15:05.010161 ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '13022025', 'map_nb_amount': {0: 4, 1: 26, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 658.9999969005585, 'nb_balles_papier': 0.00035000000000000027, 'begin_time_port': 'image_13022025_08_30_05_010157m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00035000000000000027 We reject this portfolio because of the condition_save_data : 2025-02-13 08:30:05.010157 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '13022025', 'map_nb_amount': {0: 7, 1: 27, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 599.0000050067902, 'nb_balles_papier': 0.00038000000000000035, 'begin_time_port': 'image_13022025_08_49_45_10140.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00038000000000000035 We have rejected 3 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 1 Still a lot to verify ! Qualite : 0.0547742791959157 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`=20504018 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.28086209297180176 # DISPLAY ALL COLLECTED DATA : {'13022025': {'nb_upload': 291, 'nb_taggue_class': 882, 'nb_taggue_densite': 882}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1337306450, 1337305770, 1337304788, 1337304302, 1337304298, 1337304293, 1337304289, 1337304278, 1337304252, 1337304248, 1337304193, 1337304182, 1337304176, 1337304075, 1337304065, 1337304063, 1337304039, 1337303986, 1337303980, 1337303977, 1337303976, 1337303974, 1337303973, 1337303929, 1337303925, 1337303920, 1337303919, 1337303820, 1337303818, 1337303816, 1337303815, 1337303813, 1337303811, 1337303586, 1337303547, 1337303545, 1337303543, 1337303523, 1337303521, 1337303519, 1337303517, 1337303515, 1337303514, 1337303483, 1337303471, 1337303469, 1337303456, 1337303454, 1337303453, 1337303237, 1337303218, 1337303087, 1337301494, 1337301383, 1337301382, 1337301355, 1337301353, 1337301351, 1337301350, 1337301319, 1337301317, 1337301316, 1337301291, 1337301269, 1337301267, 1337301266, 1337301054, 1337301052, 1337301051, 1337301023, 1337301018, 1337301016, 1337300942, 1337300897, 1337300889, 1337300886, 1337300222, 1337300220, 1337300219, 1337300193, 1337300190, 1337300187, 1337300185, 1337300184, 1337300153, 1337300149, 1337300145, 1337300141, 1337300139, 1337300083, 1337300075, 1337300054, 1337300048, 1337300007, 1337300004, 1337300001, 1337299970, 1337299787, 1337299783, 1337299780] Looping around the photos to save general results len do output : 1 /20493659Didn'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, '2582065') ('4876', '20493659', '1337306450', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337305770', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304788', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304302', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304298', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304293', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304289', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304278', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304252', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304248', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304193', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304182', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304176', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304075', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304065', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304063', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337304039', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303986', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303980', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303977', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303976', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303974', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303973', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303929', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303925', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303920', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303919', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303820', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303818', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303816', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303815', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303813', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303811', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303586', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303547', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303545', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303543', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303523', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303521', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303519', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303517', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303515', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303514', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303483', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303471', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303469', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303456', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303454', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303453', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303237', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303218', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337303087', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301494', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301383', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301382', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301355', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301353', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301351', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301350', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301319', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301317', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301316', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301291', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301269', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301267', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301266', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301054', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301052', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301051', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301023', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301018', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337301016', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300942', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300897', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300889', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300886', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300222', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300220', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300219', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300193', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300190', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300187', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300185', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300184', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300153', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300149', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300145', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300141', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300139', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300083', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300075', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300054', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300048', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300007', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300004', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337300001', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337299970', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337299787', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337299783', None, None, None, None, None, '2582065') ('4876', None, None, None, None, None, None, None, '2582065') ('4876', '20493659', '1337299780', None, None, None, None, None, '2582065') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.026889324188232422 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.49365806579589844 time spend to save output : 0.027576208114624023 total time spend for step 1 : 0.5212342739105225 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 1.23user 0.58system 0:04.00elapsed 45%CPU (0avgtext+0avgdata 101828maxresident)k 0inputs+80outputs (4major+49154minor)pagefaults 0swaps