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 : 2196799 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 : 3064>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 : ['2584358'] with mtr_portfolio_ids : ['20493659'] and first list_photo_ids : [] new path : /proc/2196799/ 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 : 0.03071427345275879 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 23:58:27 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', 237)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 2855} 13022025 20493659 Nombre de photos uploadées : 522 / 23040 (2%) 13022025 20493659 Nombre de photos taguées (types de déchets): 2855 / 522 (546%) 13022025 20493659 Nombre de photos taguées (volume) : 2855 / 522 (546%) elapsed_time : load_data_split_time_score 3.337860107421875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0010287761688232422 ???????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.025626420974731445 elapsed_time : insert_dashboard_record_day_entry 0.025368928909301758 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 elapsed_time : list_photo_by_hashtags 0.020169734954833984 photos_removed : len 0 elapsed_time : load_duplicate_info 0.02556586265563965 ***** BEGIN SPLIT TIME ***** True 1739404800.0 `1739480274.010136 1739479500.0 `1739480283.009124 1739479500.0 `1739480294.010145 1739479500.0 `1739480304.010138 1739479500.0 `1739480314.010164 1739479500.0 `1739480324.010141 1739479500.0 `1739480324.010141 1739479500.0 `1739480353.010228 1739479500.0 `1739480353.010228 1739479500.0 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`1739484925.010136 1739484900.0 `1739484934.009134 1739484900.0 `1739484944.010145 1739484900.0 `1739484954.010139 1739484900.0 `1739484974.010144 1739484900.0 `1739484995.010137 1739484900.0 `1739485004.009129 1739484900.0 `1739485014.010143 1739484900.0 `1739485024.010155 1739484900.0 `1739485034.010137 1739484900.0 `1739485054.01014 1739484900.0 `1739485065.010147 1739484900.0 `1739485074.009131 1739484900.0 `1739485084.010154 1739484900.0 `1739485124.010139 1739484900.0 `1739485144.009125 1739484900.0 `1739485164.010136 1739484900.0 `1739485174.010146 1739484900.0 `1739485184.010141 1739484900.0 `1739485194.010138 1739484900.0 `1739485205.010159 1739484900.0 `1739485214.009128 1739484900.0 `1739485224.010137 1739484900.0 `1739485234.010136 1739484900.0 `1739485254.010143 1739484900.0 `1739485264.010165 1739484900.0 `1739485275.010135 1739484900.0 `1739485284.009125 1739484900.0 `1739485294.010136 1739484900.0 `1739485304.010137 1739484900.0 `1739485334.010139 1739484900.0 `1739485344.010134 1739484900.0 `1739485355.010134 1739484900.0 `1739485364.009129 1739484900.0 `1739485374.010138 1739484900.0 `1739485384.010147 1739484900.0 `1739485394.01014 1739484900.0 `1739485404.010135 1739484900.0 `1739485414.010135 1739484900.0 `1739485425.010137 1739484900.0 `1739485434.009128 1739484900.0 `1739485444.010141 1739484900.0 `1739485454.010135 1739484900.0 `1739485464.010135 1739484900.0 `1739485495.010135 1739484900.0 `1739485504.009146 1739484900.0 `1739485514.010141 1739484900.0 `1739485524.010143 1739484900.0 `1739485534.010146 1739484900.0 `1739485544.01015 1739484900.0 `1739485554.010139 1739484900.0 `1739485565.010155 1739484900.0 `1739485574.009126 1739484900.0 `1739485584.010146 1739484900.0 `1739485594.010136 1739484900.0 `1739485604.010137 1739484900.0 `1739485614.010138 1739484900.0 `1739485624.010166 1739484900.0 `1739485654.010139 1739484900.0 `1739485664.010146 1739484900.0 `1739485684.010159 1739484900.0 `1739485705.010136 1739484900.0 `1739485724.010157 1739484900.0 `1739485734.010142 1739484900.0 `1739485744.010163 1739484900.0 `1739485754.010137 1739484900.0 `1739485764.010136 1739484900.0 `1739485775.010146 1739484900.0 `1739485784.009134 1739484900.0 `1739485794.01014 1739484900.0 `1739485804.010161 1739485800.0 `1739485814.010137 1739485800.0 `1739485824.010135 1739485800.0 `1739485854.009126 1739485800.0 `1739485874.010135 1739485800.0 `1739485884.010136 1739485800.0 `1739485894.010137 1739485800.0 `1739485914.010138 1739485800.0 `1739485925.010149 1739485800.0 `1739485934.009128 1739485800.0 `1739485944.010136 1739485800.0 `1739486214.009127 1739485800.0 `1739486224.01014 1739485800.0 `1739486234.01014 1739485800.0 `1739486264.010139 1739485800.0 `1739486275.010137 1739485800.0 `1739486284.009142 1739485800.0 `1739486294.010155 1739485800.0 `1739486314.010146 1739485800.0 `1739486324.010145 1739485800.0 `1739486404.010157 1739485800.0 `1739486415.01014 1739485800.0 `1739486444.010136 1739485800.0 `1739486454.010133 1739485800.0 `1739486464.010156 1739485800.0 `1739486485.010137 1739485800.0 `1739486494.009133 1739485800.0 `1739486504.010152 1739485800.0 `1739486514.010141 1739485800.0 `1739486524.010144 1739485800.0 `1739486534.010137 1739485800.0 `1739486544.010138 1739485800.0 `1739486555.010139 1739485800.0 `1739486574.010139 1739485800.0 `1739486584.010152 1739485800.0 `1739486594.010134 1739485800.0 `1739486604.010134 1739485800.0 `1739486614.010137 1739485800.0 `1739486625.010135 1739485800.0 `1739486664.010134 1739485800.0 `1739486684.010137 1739485800.0 `1739486695.010146 1739485800.0 `1739486704.009144 1739486700.0 `1739486714.010142 1739486700.0 `1739486724.010139 1739486700.0 `1739486734.010141 1739486700.0 `1739486744.010148 1739486700.0 `1739486754.010139 1739486700.0 `1739486765.010139 1739486700.0 `1739486774.009126 1739486700.0 `1739486794.010135 1739486700.0 `1739486814.010135 1739486700.0 `1739486824.010161 1739486700.0 `1739486835.010143 1739486700.0 `1739486844.00913 1739486700.0 `1739486874.010137 1739486700.0 `1739486884.010149 1739486700.0 `1739486894.010135 1739486700.0 `1739486904.010145 1739486700.0 `1739486924.010164 1739486700.0 `1739486934.010157 1739486700.0 `1739486944.010181 1739486700.0 `1739486954.010144 1739486700.0 `1739486964.010139 1739486700.0 `1739486984.009129 1739486700.0 `1739486994.010139 1739486700.0 `1739487004.01015 1739486700.0 `1739487014.01014 1739486700.0 `1739487034.010137 1739486700.0 `1739487045.010139 1739486700.0 `1739487054.009126 1739486700.0 `1739487094.010134 1739486700.0 `1739487114.010136 1739486700.0 `1739487125.010136 1739486700.0 `1739487134.009125 1739486700.0 `1739487144.010133 1739486700.0 `1739487154.010143 1739486700.0 `1739487164.010142 1739486700.0 `1739487174.010137 1739486700.0 `1739487184.010154 1739486700.0 `1739487195.010137 1739486700.0 `1739487204.009126 1739486700.0 `1739487214.010136 1739486700.0 `1739487224.010141 1739486700.0 `1739487234.010138 1739486700.0 `1739487254.010141 1739486700.0 `1739487284.010142 1739486700.0 `1739487294.010141 1739486700.0 `1739487304.010152 1739486700.0 `1739487335.010143 1739486700.0 `1739487344.009128 1739486700.0 `1739487354.010139 1739486700.0 `1739487364.010149 1739486700.0 `1739487374.010141 1739486700.0 `1739487384.010143 1739486700.0 `1739487394.010139 1739486700.0 `1739487405.010142 1739486700.0 `1739487414.009126 1739486700.0 `1739487424.010193 1739486700.0 `1739487434.010144 1739486700.0 `1739487454.010137 1739486700.0 `1739487464.010139 1739486700.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.023482799530029297 ***** END SPLIT TIME ***** NUMBER BATCH : 9 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] result_one_balle_Type_JRM:{'day': '13022025', 'map_nb_amount': {0: 2, 1: 7, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 120.00000500679016, 'nb_balles_papier': 0.00012, 'begin_time_port': 'image_13022025_21_57_54_010136m0.jpg 8e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00012 We reject this portfolio because of the condition_save_data : 2025-02-13 21:57:54.010136 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 result_one_balle_Type_JRM:{'day': '13022025', 'map_nb_amount': {0: 7, 1: 39, 2: 14, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 880.9999849796295, 'nb_balles_papier': 0.0006000000000000009, '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) : 0.0006000000000000009 We reject this portfolio because of the condition_save_data : 2025-02-13 22:15:03.010150 result_one_balle_Type_JRM:{'day': '13022025', 'map_nb_amount': {0: 15, 1: 44, 2: 15, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 888.9999730587006, 'nb_balles_papier': 0.0007400000000000013, '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) : 0.0007400000000000013 We reject this portfolio because of the condition_save_data : 2025-02-13 22:30:04.010160 result_one_balle_Type_JRM:{'day': '13022025', 'map_nb_amount': {0: 7, 1: 55, 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': 0.0006800000000000011, '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) : 0.0006800000000000011 We reject this portfolio because of the condition_save_data : 2025-02-13 22:45:04.010156 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: 50, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 869.9999508857727, 'nb_balles_papier': 0.000620000000000001, '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) : 0.000620000000000001 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '13022025', 'map_nb_amount': {0: 4, 1: 49, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999759197235, 'nb_balles_papier': 0.0005900000000000009, 'begin_time_port': 'image_13022025_23_15_04_010164m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005900000000000009 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: 24, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 890.9999849796295, 'nb_balles_papier': 0.00030000000000000014, 'begin_time_port': 'image_13022025_23_30_04_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) : 0.00030000000000000014 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': '13022025', 'map_nb_amount': {0: 5, 1: 15, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 760.0009949207306, 'nb_balles_papier': 0.00024, 'begin_time_port': 'image_13022025_23_45_04_009144m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00024 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 4 Still a lot to verify ! Still a lot to verify ! Still a lot to verify ! We need to add photos : {1337464226, 1337464260, 1337464197, 1337464229, 1337464199, 1337464254, 1337464201, 1337464203, 1337464246, 1337464247, 1337464249, 1337464218, 1337464219, 1337464221, 1337464222} Still a lot to verify ! Qualite : 0.0431418347256479 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`=20526558 AND mptpi.`type`=3726 To do Qualite : 0.04480899892960075 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`=20526995 AND mptpi.`type`=3726 To do Qualite : 0.06451756633204798 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`=20527820 AND mptpi.`type`=3726 To do Qualite : 0.04382342921038091 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`=20528257 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.6397795677185059 # DISPLAY ALL COLLECTED DATA : {'13022025': {'nb_upload': 522, 'nb_taggue_class': 2855, 'nb_taggue_densite': 2855}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1337464229, 1337464226, 1337464222, 1337464221, 1337464219, 1337464218, 1337464203, 1337464201, 1337464199, 1337464197, 1337464179, 1337464177, 1337464176, 1337464163, 1337464162, 1337464160, 1337464159, 1337464157, 1337464148, 1337464122, 1337464120, 1337464118, 1337464116, 1337464112, 1337464105, 1337464063, 1337464061, 1337464037, 1337464035, 1337464033, 1337464031, 1337464030, 1337464000, 1337463998, 1337463996, 1337463992, 1337463977, 1337463619, 1337463618, 1337463613, 1337463601, 1337463588, 1337462945, 1337462943, 1337462939, 1337462933, 1337462894, 1337462893, 1337462891, 1337462890, 1337462852, 1337462851, 1337462848, 1337462846, 1337462844, 1337462843, 1337462811, 1337462809, 1337462807, 1337462784, 1337462782, 1337462781, 1337462777, 1337462775, 1337462734, 1337462732, 1337462730, 1337462728, 1337462727, 1337462706, 1337462705, 1337462703, 1337462701, 1337462700, 1337462667, 1337462665, 1337462663, 1337462662, 1337462568, 1337462563, 1337462561, 1337462560, 1337462533, 1337462532, 1337462524, 1337462522, 1337462256, 1337460408, 1337460406, 1337460405, 1337460353, 1337460351, 1337460349, 1337460348, 1337460284, 1337460282, 1337460279, 1337460276, 1337460240, 1337460236] Looping around the photos to save general results len do output : 1 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'2584358') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.02510213851928711 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.1453630924224854 time spend to save output : 0.025929689407348633 total time spend for step 1 : 1.171292781829834 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 1.36user 0.76system 0:03.21elapsed 66%CPU (0avgtext+0avgdata 104160maxresident)k 0inputs+120outputs (0major+49878minor)pagefaults 0swaps