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 : 2044050 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 : 1770>1000 please execute split_portfolio.py -i 20820380 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2615925'] with mtr_portfolio_ids : ['20820380'] and first list_photo_ids : [] new path : /proc/2044050/ 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 : 0.028443574905395508 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Feb 26 12:00:32 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', 9), ('02', 9), ('03', 6), ('04', 7), ('05', 219), ('06', 306), ('07', 304), ('08', 285), ('09', 83), ('10', 246), ('11', 288)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 1601} 26022025 20820380 Nombre de photos uploadées : 535 / 23040 (2%) 26022025 20820380 Nombre de photos taguées (types de déchets): 1601 / 535 (299%) 26022025 20820380 Nombre de photos taguées (volume) : 1601 / 535 (299%) elapsed_time : load_data_split_time_score 5.0067901611328125e-06 elapsed_time : order_list_meta_photo_and_scores 0.0006692409515380859 ???????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0912926197052002 elapsed_time : insert_dashboard_record_day_entry 0.022814273834228516 Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.021231412887573242 photos_removed : len 0 elapsed_time : load_duplicate_info 0.029482603073120117 ***** BEGIN SPLIT TIME ***** True 1740528000.0 `1740560335.010139 1740559500.0 `1740560414.010207 1740560400.0 `1740560424.010143 1740560400.0 `1740560434.010137 1740560400.0 `1740560444.01014 1740560400.0 `1740560454.010136 1740560400.0 `1740560465.01016 1740560400.0 `1740560474.009126 1740560400.0 `1740560484.010142 1740560400.0 `1740560494.010135 1740560400.0 `1740560535.010134 1740560400.0 `1740560545.010134 1740560400.0 `1740560554.009135 1740560400.0 `1740560564.010141 1740560400.0 `1740560574.010139 1740560400.0 `1740560584.010141 1740560400.0 `1740560594.010137 1740560400.0 `1740560604.010135 1740560400.0 `1740560615.010136 1740560400.0 `1740560624.009129 1740560400.0 `1740560634.010136 1740560400.0 `1740560674.010133 1740560400.0 `1740560685.010135 1740560400.0 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`1740565043.010134 1740564900.0 `1740565053.010145 1740564900.0 `1740565063.010139 1740564900.0 `1740565074.010143 1740564900.0 `1740565084.010163 1740564900.0 `1740565094.010141 1740564900.0 `1740565133.010136 1740564900.0 `1740565144.010149 1740564900.0 `1740565154.010135 1740564900.0 `1740565164.010138 1740564900.0 `1740565173.009128 1740564900.0 `1740565183.01014 1740564900.0 `1740565193.010135 1740564900.0 `1740565203.010149 1740564900.0 `1740565224.010136 1740564900.0 `1740565243.009126 1740564900.0 `1740565253.010137 1740564900.0 `1740565263.010155 1740564900.0 `1740565294.010134 1740564900.0 `1740565304.010136 1740564900.0 `1740565313.009127 1740564900.0 `1740565323.010153 1740564900.0 `1740565333.010148 1740564900.0 `1740565343.010137 1740564900.0 `1740565354.010136 1740564900.0 `1740565364.010137 1740564900.0 `1740565374.010137 1740564900.0 `1740565403.010133 1740564900.0 `1740565413.010136 1740564900.0 `1740565423.010136 1740564900.0 `1740565434.010138 1740564900.0 `1740565444.010139 1740564900.0 `1740565454.010142 1740564900.0 `1740565463.009127 1740564900.0 `1740565473.010143 1740564900.0 `1740565483.010144 1740564900.0 `1740565493.010141 1740564900.0 `1740565504.010156 1740564900.0 `1740565533.009123 1740564900.0 `1740565543.010133 1740564900.0 `1740565553.010139 1740564900.0 `1740565563.010154 1740564900.0 `1740565574.01014 1740564900.0 `1740565584.010136 1740564900.0 `1740565594.010135 1740564900.0 `1740565603.009127 1740564900.0 `1740565613.010137 1740564900.0 `1740565644.010139 1740564900.0 `1740565654.010133 1740564900.0 `1740565664.010136 1740564900.0 `1740565673.00913 1740564900.0 `1740565683.010153 1740564900.0 `1740565693.010138 1740564900.0 `1740565703.010135 1740564900.0 `1740565714.010134 1740564900.0 `1740565724.010138 1740564900.0 `1740565763.010133 1740564900.0 `1740565773.010132 1740564900.0 `1740565783.010136 1740564900.0 `1740565794.010138 1740564900.0 `1740565804.010136 1740565800.0 `1740565814.010139 1740565800.0 `1740565823.009125 1740565800.0 `1740565833.010137 1740565800.0 `1740565843.010137 1740565800.0 `1740565853.010138 1740565800.0 `1740565864.010148 1740565800.0 `1740565874.010133 1740565800.0 `1740565884.010134 1740565800.0 `1740565893.009125 1740565800.0 `1740565903.010137 1740565800.0 `1740565913.010136 1740565800.0 `1740565923.010151 1740565800.0 `1740565934.010136 1740565800.0 `1740565944.010137 1740565800.0 `1740565954.010136 1740565800.0 `1740565983.010162 1740565800.0 `1740565993.010138 1740565800.0 `1740566003.010147 1740565800.0 `1740566014.010145 1740565800.0 `1740566024.010141 1740565800.0 `1740566034.010138 1740565800.0 `1740566043.00915 1740565800.0 `1740566053.010138 1740565800.0 `1740566063.010134 1740565800.0 `1740566073.010133 1740565800.0 `1740566094.010135 1740565800.0 `1740566104.01014 1740565800.0 `1740566113.009127 1740565800.0 `1740566123.010135 1740565800.0 `1740566133.010136 1740565800.0 `1740566143.010138 1740565800.0 `1740566154.010138 1740565800.0 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`1740566534.010143 1740565800.0 `1740566543.009126 1740565800.0 `1740566573.010135 1740565800.0 `1740566584.010146 1740565800.0 `1740566594.010138 1740565800.0 `1740566604.01019 1740565800.0 `1740566613.009125 1740565800.0 `1740566623.010138 1740565800.0 `1740566633.010142 1740565800.0 `1740566643.010138 1740565800.0 `1740566664.010138 1740565800.0 `1740566674.010133 1740565800.0 `1740566683.009124 1740565800.0 `1740566693.010135 1740565800.0 `1740566703.010156 1740566700.0 `1740566713.010137 1740566700.0 `1740566724.010136 1740566700.0 `1740566763.009135 1740566700.0 `1740566773.010142 1740566700.0 `1740566793.010143 1740566700.0 `1740566814.010141 1740566700.0 `1740566833.00913 1740566700.0 `1740566843.010142 1740566700.0 `1740566853.010141 1740566700.0 `1740566863.010139 1740566700.0 `1740566874.010136 1740566700.0 `1740566884.010145 1740566700.0 `1740566903.009123 1740566700.0 `1740566913.010133 1740566700.0 `1740566923.010136 1740566700.0 `1740566933.010135 1740566700.0 `1740566944.010165 1740566700.0 `1740566954.010135 1740566700.0 `1740566964.010173 1740566700.0 `1740566973.009125 1740566700.0 `1740566983.01014 1740566700.0 `1740566993.010137 1740566700.0 `1740567024.010148 1740566700.0 `1740567034.010133 1740566700.0 `1740567043.009125 1740566700.0 `1740567053.010137 1740566700.0 `1740567063.010152 1740566700.0 `1740567073.010135 1740566700.0 `1740567084.010135 1740566700.0 `1740567094.010145 1740566700.0 `1740567104.010137 1740566700.0 `1740567113.009126 1740566700.0 `1740567123.010172 1740566700.0 `1740567154.010133 1740566700.0 `1740567164.010133 1740566700.0 `1740567174.010137 1740566700.0 `1740567183.009148 1740566700.0 `1740567193.010139 1740566700.0 `1740567203.010195 1740566700.0 `1740567213.010136 1740566700.0 `1740567224.010137 1740566700.0 `1740567234.010138 1740566700.0 `1740567244.010139 1740566700.0 `1740567253.009124 1740566700.0 `1740567273.010133 1740566700.0 `1740567283.010134 1740566700.0 `1740567294.010135 1740566700.0 `1740567304.010152 1740566700.0 `1740567314.010137 1740566700.0 `1740567324.010143 1740566700.0 `1740567333.009129 1740566700.0 `1740567343.010138 1740566700.0 `1740567353.010141 1740566700.0 `1740567363.010134 1740566700.0 `1740567384.010136 1740566700.0 `1740567394.010134 1740566700.0 `1740567403.009127 1740566700.0 `1740567413.010142 1740566700.0 `1740567423.010153 1740566700.0 `1740567433.010141 1740566700.0 `1740567444.010141 1740566700.0 `1740567454.010137 1740566700.0 `1740567464.010138 1740566700.0 list printed: [[0], [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48], [49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103], [104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174], [175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246], [247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320], [321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392], [393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470], [471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.02677297592163086 ***** 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'] ERROR missing amount info ERROR missing amount info 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': '26022025', 'map_nb_amount': {0: 3, 1: 37, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 719.9999260902405, 'nb_balles_papier': 0.0004000000000000004, 'begin_time_port': 'image_26022025_10_00_14_010207m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004000000000000004 We reject this portfolio because of the condition_save_data : 2025-02-26 10:00:14.010207 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': '26022025', 'map_nb_amount': {0: 5, 1: 42, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 829.9989621639252, 'nb_balles_papier': 0.0004900000000000006, 'begin_time_port': 'image_26022025_10_16_04_10166.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004900000000000006 We reject this portfolio because of the condition_save_data : 2025-02-26 10:16:04.010166 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': '26022025', 'map_nb_amount': {0: 4, 1: 38, 2: 23, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 869.99897813797, 'nb_balles_papier': 0.0006500000000000011, 'begin_time_port': 'image_26022025_10_30_04_010150m0.jpg 1e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006500000000000011 We reject this portfolio because of the condition_save_data : 2025-02-26 10:30:04.010150 ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '26022025', 'map_nb_amount': {0: 5, 1: 54, 2: 11, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 870.0000030994415, 'nb_balles_papier': 0.0007000000000000012, 'begin_time_port': 'image_26022025_10_45_24_10134.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007000000000000012 We reject this portfolio because of the condition_save_data : 2025-02-26 10:45:24.010134 ERROR missing amount info ERROR missing amount info 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': '26022025', 'map_nb_amount': {0: 2, 1: 57, 2: 7, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 870.0000050067902, 'nb_balles_papier': 0.0006600000000000011, 'begin_time_port': 'image_26022025_11_00_23_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) : 0.0006600000000000011 We reject this portfolio because of the condition_save_data : 2025-02-26 11:00:23.010134 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '26022025', 'map_nb_amount': {0: 2, 1: 54, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 890.9999921321869, 'nb_balles_papier': 0.0005800000000000009, 'begin_time_port': 'image_26022025_11_15_03_10146.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005800000000000009 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '26022025', 'map_nb_amount': {0: 9, 1: 41, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 888.9999990463257, 'nb_balles_papier': 0.0005500000000000008, 'begin_time_port': 'image_26022025_11_30_04_010136m0.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 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '26022025', 'map_nb_amount': {0: 2, 1: 19, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 760.9999821186066, 'nb_balles_papier': 0.00023, 'begin_time_port': 'image_26022025_11_45_03_10156.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00023 We have rejected 1 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 3 Still a lot to verify ! Still a lot to verify ! We need to add photos : {1339714067, 1339713429, 1339714198, 1339714070, 1339714454, 1339714459, 1339713314, 1339714466, 1339714469, 1339714603, 1339714351, 1339714609, 1339714614, 1339713210, 1339714111, 1339713092, 1339714116, 1339714631, 1339714120, 1339713097, 1339714636, 1339713102, 1339713107, 1339714004, 1339713110, 1339714391, 1339713114, 1339714652, 1339714145, 1339714659, 1339714024, 1339714541, 1339714031, 1339714674, 1339714038, 1339714679, 1339713528, 1339714555} Still a lot to verify ! Qualite : 0.0895266387705175 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`=20836575 AND mptpi.`type`=3726 To do Qualite : 0.09905401500272112 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`=20837208 AND mptpi.`type`=3726 To do 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`=20838192 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.8290302753448486 # DISPLAY ALL COLLECTED DATA : {'26022025': {'nb_upload': 535, 'nb_taggue_class': 1601, 'nb_taggue_densite': 1601}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1339714679, 1339714674, 1339714659, 1339714652, 1339714636, 1339714631, 1339714614, 1339714609, 1339714603, 1339714555, 1339714541, 1339714469, 1339714466, 1339714459, 1339714454, 1339714391, 1339714351, 1339714198, 1339714145, 1339714120, 1339714116, 1339714111, 1339714070, 1339714067, 1339714038, 1339714031, 1339714024, 1339714004, 1339713528, 1339713429, 1339713314, 1339713210, 1339713114, 1339713110, 1339713107, 1339713102, 1339713097, 1339713092, 1339713073, 1339713067, 1339713062, 1339713057, 1339713020, 1339713017, 1339713013, 1339713009, 1339713003, 1339712946, 1339712815, 1339712799, 1339712792, 1339712786, 1339712781, 1339712584, 1339712578, 1339712573, 1339712568, 1339712559, 1339712438, 1339712434, 1339712429, 1339712425, 1339712265, 1339712254, 1339712249, 1339712105, 1339712102, 1339712096, 1339712090, 1339712084, 1339712045, 1339712041, 1339712037, 1339712032, 1339712027, 1339712023, 1339711792, 1339711781, 1339711777, 1339711774, 1339711723, 1339711715, 1339711706, 1339711702, 1339711699, 1339711695, 1339711653, 1339711649, 1339711644, 1339711641, 1339711591, 1339711587, 1339711584, 1339711582, 1339711578, 1339711538, 1339711533, 1339711525, 1339711518, 1339711515] Looping around the photos to save general results len do output : 1 /20820380Didn'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, '2615925') ('4876', '20820380', '1339714679', None, None, None, None, None, '2615925') ('4876', None, None, None, None, None, None, None, '2615925') ('4876', '20820380', '1339714674', None, None, None, None, None, '2615925') ('4876', None, None, None, None, None, None, None, '2615925') ('4876', '20820380', '1339714659', None, None, None, None, None, '2615925') ('4876', None, None, None, None, None, None, None, '2615925') ('4876', '20820380', '1339714652', None, None, None, None, None, '2615925') ('4876', None, None, None, None, None, None, None, '2615925') ('4876', '20820380', '1339714636', None, None, None, None, None, '2615925') ('4876', None, None, None, None, None, None, None, '2615925') ('4876', '20820380', '1339714631', None, None, None, None, None, 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'2615925') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.02704930305480957 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.243974208831787 time spend to save output : 0.027884244918823242 total time spend for step 1 : 1.2718584537506104 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 1.82user 0.82system 0:08.92elapsed 29%CPU (0avgtext+0avgdata 103996maxresident)k 400inputs+128outputs (23major+58178minor)pagefaults 0swaps