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 : 2028431 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 we have a portfolio with more photos than limit : 2887>1000 please execute split_portfolio.py -i 20493659 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2584243'] with mtr_portfolio_ids : ['20493659'] and first list_photo_ids : [] new path : /proc/2028431/ 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 : 0.03263115882873535 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 23:14:28 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', 184), ('09', 3), ('10', 5), ('11', 5), ('12', 2), ('13', 40), ('14', 237), ('15', 220), ('16', 268), ('17', 115), ('18', 252), ('19', 214), ('20', 176), ('21', 81), ('22', 268), ('23', 60)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 2651} 13022025 20493659 Nombre de photos uploadées : 394 / 23040 (1%) 13022025 20493659 Nombre de photos taguées (types de déchets): 2651 / 394 (672%) 13022025 20493659 Nombre de photos taguées (volume) : 2651 / 394 (672%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0012464523315429688 ????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0476381778717041 elapsed_time : insert_dashboard_record_day_entry 0.02193760871887207 Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.018372058868408203 photos_removed : len 0 elapsed_time : load_duplicate_info 0.026749849319458008 ***** BEGIN SPLIT TIME ***** True 1739404800.0 `1739477604.010144 1739476800.0 `1739477684.010146 1739476800.0 `1739477704.01015 1739477700.0 `1739477714.01014 1739477700.0 `1739477744.010141 1739477700.0 `1739477754.010135 1739477700.0 `1739477764.010158 1739477700.0 `1739477784.010133 1739477700.0 `1739477794.010138 1739477700.0 `1739477803.009129 1739477700.0 `1739477813.010139 1739477700.0 `1739477824.010163 1739477700.0 `1739477834.010137 1739477700.0 `1739477844.010136 1739477700.0 `1739477854.010134 1739477700.0 `1739477864.010142 1739477700.0 `1739478163.010146 1739477700.0 `1739478174.01014 1739477700.0 `1739478184.01015 1739477700.0 `1739478194.010136 1739477700.0 `1739478224.010141 1739477700.0 `1739478233.009128 1739477700.0 `1739478244.010136 1739477700.0 `1739478274.01015 1739477700.0 `1739478284.010143 1739477700.0 `1739479854.010135 1739479500.0 `1739479874.010158 1739479500.0 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`1739482454.010142 1739482200.0 `1739482464.01014 1739482200.0 `1739482474.010133 1739482200.0 `1739482484.010136 1739482200.0 `1739482494.010138 1739482200.0 `1739482534.010134 1739482200.0 `1739482544.010135 1739482200.0 `1739482554.010138 1739482200.0 `1739482564.010145 1739482200.0 `1739482573.00913 1739482200.0 `1739482583.010136 1739482200.0 `1739482593.010148 1739482200.0 `1739482604.010143 1739482200.0 `1739482614.010137 1739482200.0 `1739482624.010153 1739482200.0 `1739482634.010134 1739482200.0 `1739482643.009127 1739482200.0 `1739482653.010135 1739482200.0 `1739482663.010133 1739482200.0 `1739482674.010135 1739482200.0 `1739482694.010138 1739482200.0 `1739482704.010134 1739482200.0 `1739482744.010166 1739482200.0 `1739482754.010137 1739482200.0 `1739482774.010139 1739482200.0 `1739482783.009134 1739482200.0 `1739482803.010153 1739482200.0 `1739482814.01014 1739482200.0 `1739482824.01014 1739482200.0 `1739482834.010152 1739482200.0 `1739482844.010158 1739482200.0 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`1739483233.010138 1739483100.0 `1739483244.010145 1739483100.0 `1739483254.010144 1739483100.0 `1739483274.010139 1739483100.0 `1739483293.010146 1739483100.0 `1739483303.010134 1739483100.0 `1739483324.010145 1739483100.0 `1739483334.010139 1739483100.0 `1739483344.010153 1739483100.0 `1739483353.009133 1739483100.0 `1739483374.010247 1739483100.0 `1739483384.010151 1739483100.0 `1739483394.010142 1739483100.0 `1739483423.010147 1739483100.0 `1739483433.010133 1739483100.0 `1739483444.010136 1739483100.0 `1739483454.010137 1739483100.0 `1739483464.010159 1739483100.0 `1739483474.01014 1739483100.0 `1739483483.009125 1739483100.0 `1739483493.010153 1739483100.0 `1739483503.010151 1739483100.0 `1739483514.010138 1739483100.0 `1739483524.010166 1739483100.0 `1739483534.01014 1739483100.0 `1739483544.010135 1739483100.0 `1739483553.009127 1739483100.0 `1739483563.01015 1739483100.0 `1739483573.010141 1739483100.0 `1739483614.010134 1739483100.0 `1739483623.00913 1739483100.0 `1739483633.010139 1739483100.0 `1739483643.010152 1739483100.0 `1739483654.010143 1739483100.0 `1739483664.010138 1739483100.0 `1739483674.010144 1739483100.0 `1739483684.010152 1739483100.0 `1739483693.009131 1739483100.0 `1739483703.010151 1739483100.0 `1739483713.010145 1739483100.0 `1739483724.010143 1739483100.0 `1739483734.010136 1739483100.0 `1739483744.010138 1739483100.0 `1739483754.010137 1739483100.0 `1739483763.009139 1739483100.0 `1739483804.010136 1739483100.0 `1739483814.010135 1739483100.0 `1739483824.010151 1739483100.0 `1739483834.01014 1739483100.0 `1739483843.009126 1739483100.0 `1739483853.010145 1739483100.0 `1739483863.010145 1739483100.0 `1739483874.010137 1739483100.0 `1739483884.010162 1739483100.0 `1739483894.01014 1739483100.0 `1739483904.010136 1739483100.0 `1739483913.009124 1739483100.0 `1739483923.010136 1739483100.0 `1739483933.01014 1739483100.0 `1739484014.010188 1739484000.0 `1739484024.010139 1739484000.0 `1739484034.01014 1739484000.0 `1739484044.010139 1739484000.0 `1739484054.010137 1739484000.0 `1739484065.010152 1739484000.0 `1739484074.009128 1739484000.0 `1739484084.010144 1739484000.0 `1739484104.01014 1739484000.0 `1739484114.010141 1739484000.0 `1739484124.010154 1739484000.0 `1739484164.010136 1739484000.0 `1739484174.010138 1739484000.0 `1739484184.010145 1739484000.0 `1739484194.010142 1739484000.0 `1739484204.010135 1739484000.0 `1739484215.010148 1739484000.0 `1739484234.01014 1739484000.0 `1739484244.010153 1739484000.0 `1739484254.010141 1739484000.0 `1739484264.010138 1739484000.0 `1739484274.010134 1739484000.0 `1739484285.010142 1739484000.0 `1739484294.009129 1739484000.0 `1739484304.010149 1739484000.0 `1739484344.010136 1739484000.0 `1739484355.010143 1739484000.0 `1739484364.009142 1739484000.0 `1739484374.01014 1739484000.0 `1739484384.010144 1739484000.0 `1739484394.010138 1739484000.0 `1739484404.010138 1739484000.0 `1739484414.010138 1739484000.0 `1739484425.010169 1739484000.0 `1739484444.010142 1739484000.0 `1739484454.01014 1739484000.0 `1739484464.010139 1739484000.0 `1739484474.010144 1739484000.0 `1739484484.010145 1739484000.0 `1739484495.01014 1739484000.0 `1739484524.010136 1739484000.0 `1739484534.010141 1739484000.0 `1739484544.010154 1739484000.0 `1739484554.010137 1739484000.0 `1739484574.009132 1739484000.0 `1739484584.010147 1739484000.0 `1739484594.010139 1739484000.0 `1739484604.010156 1739484000.0 `1739484614.010142 1739484000.0 `1739484635.010134 1739484000.0 `1739484644.009137 1739484000.0 `1739484664.010161 1739484000.0 `1739484674.01014 1739484000.0 `1739484684.010136 1739484000.0 `1739484694.010133 1739484000.0 `1739484724.009141 1739484000.0 `1739484734.010135 1739484000.0 `1739484744.010136 1739484000.0 `1739484754.010137 1739484000.0 `1739484764.010139 1739484000.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.01794147491455078 ***** 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: 4, 1: 14, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 579.9999930858612, 'nb_balles_papier': 0.00023, 'begin_time_port': 'image_13022025_21_15_04_010150m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00023 We reject this portfolio because of the condition_save_data : 2025-02-13 21:15:04.010150 ERROR missing amount info result_one_balle_Type_JRM:{'day': '13022025', 'map_nb_amount': {0: 7, 1: 25, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 540.0000059604645, 'nb_balles_papier': 0.0004000000000000004, 'begin_time_port': 'image_13022025_21_50_54_10135.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004000000000000004 We reject this portfolio because of the condition_save_data : 2025-02-13 21:50:54.010135 ERROR missing amount info result_one_balle_Type_JRM:{'day': '13022025', 'map_nb_amount': {0: 7, 1: 48, 2: 10, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 888.9989569187164, 'nb_balles_papier': 0.0006500000000000011, 'begin_time_port': 'image_13022025_22_00_04_010169m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006500000000000011 We reject this portfolio because of the condition_save_data : 2025-02-13 22:00:04.010169 ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '13022025', 'map_nb_amount': {0: 6, 1: 39, 2: 12, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 880.9999849796295, 'nb_balles_papier': 0.0005700000000000008, 'begin_time_port': 'image_13022025_22_15_03_010150m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005700000000000008 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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: 10, 1: 22, 2: 10, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 888.9999730587006, 'nb_balles_papier': 0.00042000000000000045, 'begin_time_port': 'image_13022025_22_30_04_010160m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00042000000000000045 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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: 4, 1: 34, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 828.9999840259552, 'nb_balles_papier': 0.0004400000000000005, 'begin_time_port': 'image_13022025_22_45_04_010156m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004400000000000005 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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: 1, 1: 27, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 749.9999508857727, 'nb_balles_papier': 0.00030000000000000014, 'begin_time_port': 'image_13022025_23_00_14_010188m0.jpg 1e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00030000000000000014 We have rejected 2 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 : {1337458849, 1337458852, 1337458855, 1337458842, 1337458844, 1337458847} Still a lot to verify ! Qualite : 0.05749399874969437 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`=20524841 AND mptpi.`type`=3726 To do Qualite : 0.059493555636541476 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`=20525286 AND mptpi.`type`=3726 To do Qualite : 0.04590287569442672 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`=20526127 AND mptpi.`type`=3726 To do Qualite : 0.04656161286320358 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`=20526558 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.6160552501678467 # DISPLAY ALL COLLECTED DATA : {'13022025': {'nb_upload': 394, 'nb_taggue_class': 2651, 'nb_taggue_densite': 2651}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1337458855, 1337458852, 1337458849, 1337458847, 1337458844, 1337458842, 1337458827, 1337458823, 1337458821, 1337458819, 1337458793, 1337458790, 1337458786, 1337458782, 1337458756, 1337458743, 1337458740, 1337458737, 1337458736, 1337458697, 1337458694, 1337458691, 1337458689, 1337458657, 1337458656, 1337458650, 1337458642, 1337458640, 1337458623, 1337458621, 1337458619, 1337458616, 1337458613, 1337458611, 1337458596, 1337458594, 1337458592, 1337458573, 1337458571, 1337458569, 1337458567, 1337458565, 1337458561, 1337458220, 1337458215, 1337458211, 1337458207, 1337458203, 1337457610, 1337457606, 1337457603, 1337457587, 1337457584, 1337457580, 1337457576, 1337457564, 1337457501, 1337457493, 1337457474, 1337457427, 1337457425, 1337457404, 1337457402, 1337457399, 1337457396, 1337457394, 1337457392, 1337457272, 1337457222, 1337457220, 1337457217, 1337457214, 1337457212, 1337456906, 1337456903, 1337456900, 1337456881, 1337456880, 1337456873, 1337456867, 1337456864, 1337456861, 1337456851, 1337456849, 1337456845, 1337456842, 1337456840, 1337456838, 1337456765, 1337456762, 1337456760, 1337456682, 1337456680, 1337456678, 1337456675, 1337456672, 1337456670, 1337456631, 1337456616, 1337456555] 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, '2584243') ('4876', '20493659', '1337458855', None, None, None, None, None, '2584243') ('4876', None, None, None, None, None, None, None, '2584243') ('4876', '20493659', '1337458852', None, None, None, None, None, '2584243') ('4876', None, None, None, None, None, None, None, '2584243') ('4876', '20493659', '1337458849', None, None, None, None, None, '2584243') ('4876', None, None, None, None, None, None, None, '2584243') ('4876', '20493659', '1337458847', None, None, None, None, None, '2584243') ('4876', None, None, None, None, None, None, None, '2584243') ('4876', '20493659', '1337458844', None, None, None, None, None, '2584243') ('4876', None, None, None, None, None, None, None, '2584243') ('4876', '20493659', '1337458842', None, None, None, None, None, 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'2584243') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.025260448455810547 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.0138163566589355 time spend to save output : 0.026172399520874023 total time spend for step 1 : 1.0399887561798096 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 1.37user 0.60system 0:04.91elapsed 40%CPU (0avgtext+0avgdata 104760maxresident)k 24inputs+120outputs (1major+49733minor)pagefaults 0swaps