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 : 2098600 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 : 1680>1000 please execute split_portfolio.py -i 21995993 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2719554'] with mtr_portfolio_ids : ['21995993'] and first list_photo_ids : [] new path : /proc/2098600/ 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 : 0.025325298309326172 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Apr 3 07:50:29 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', 285), ('01', 72), ('02', 269), ('03', 286), ('04', 59), ('05', 224), ('06', 288), ('07', 197)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 1616} 03042025 21995993 Nombre de photos uploadées : 531 / 23040 (2%) 03042025 21995993 Nombre de photos taguées (types de déchets): 1616 / 531 (304%) 03042025 21995993 Nombre de photos taguées (volume) : 1616 / 531 (304%) elapsed_time : load_data_split_time_score 2.384185791015625e-06 elapsed_time : order_list_meta_photo_and_scores 0.0005714893341064453 ???????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.05758523941040039 elapsed_time : insert_dashboard_record_day_entry 0.021706819534301758 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 elapsed_time : list_photo_by_hashtags 0.020989179611206055 photos_removed : 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`1743657304.01014 1743657300.0 `1743657314.010137 1743657300.0 `1743657324.01014 1743657300.0 `1743657334.010137 1743657300.0 `1743657343.009126 1743657300.0 `1743657353.010135 1743657300.0 `1743657363.010135 1743657300.0 `1743657384.010133 1743657300.0 `1743657414.010134 1743657300.0 `1743657433.010137 1743657300.0 `1743657444.010143 1743657300.0 `1743657474.009659 1743657300.0 `1743657484.010152 1743657300.0 `1743657494.010143 1743657300.0 `1743657504.010135 1743657300.0 `1743657533.010137 1743657300.0 `1743657554.01014 1743657300.0 `1743657564.010139 1743657300.0 `1743657584.010135 1743657300.0 `1743657634.010136 1743657300.0 `1743657694.010145 1743657300.0 `1743657704.010143 1743657300.0 `1743657734.010138 1743657300.0 `1743657833.01014 1743657300.0 `1743657854.010141 1743657300.0 `1743657864.010138 1743657300.0 `1743657874.010144 1743657300.0 `1743657883.009127 1743657300.0 `1743657893.010132 1743657300.0 `1743657924.010134 1743657300.0 `1743657934.010134 1743657300.0 `1743657944.010136 1743657300.0 `1743657954.01014 1743657300.0 `1743657963.009135 1743657300.0 `1743657973.01014 1743657300.0 `1743657984.010143 1743657300.0 `1743657994.010136 1743657300.0 `1743658004.010137 1743657300.0 `1743658033.009124 1743657300.0 `1743658043.010135 1743657300.0 `1743658054.010138 1743657300.0 `1743658064.010139 1743657300.0 `1743658074.010138 1743657300.0 `1743658084.010153 1743657300.0 `1743658103.009124 1743657300.0 `1743658113.010134 1743657300.0 `1743658123.010136 1743657300.0 `1743658134.01014 1743657300.0 `1743658154.010135 1743657300.0 `1743658183.009127 1743657300.0 `1743658224.010134 1743658200.0 `1743658234.010145 1743658200.0 `1743658274.01014 1743658200.0 `1743658284.01014 1743658200.0 `1743658294.010141 1743658200.0 `1743658304.010142 1743658200.0 `1743658314.010138 1743658200.0 `1743658323.009128 1743658200.0 `1743658333.010138 1743658200.0 `1743658354.010135 1743658200.0 `1743658364.010136 1743658200.0 `1743658424.01014 1743658200.0 `1743658454.010137 1743658200.0 `1743658484.010141 1743658200.0 `1743658504.010143 1743658200.0 `1743658524.010143 1743658200.0 `1743658533.009127 1743658200.0 `1743658543.010138 1743658200.0 `1743658553.010138 1743658200.0 `1743658564.010143 1743658200.0 `1743658574.010136 1743658200.0 `1743658584.010135 1743658200.0 `1743658594.010134 1743658200.0 `1743658613.009127 1743658200.0 `1743658623.010134 1743658200.0 `1743658634.010137 1743658200.0 `1743658644.010135 1743658200.0 `1743658654.010135 1743658200.0 `1743658664.010138 1743658200.0 `1743658674.010137 1743658200.0 `1743658683.009134 1743658200.0 `1743658693.010139 1743658200.0 `1743658704.010134 1743658200.0 `1743658714.010135 1743658200.0 `1743658753.009122 1743658200.0 `1743658763.010142 1743658200.0 `1743658773.01014 1743658200.0 `1743658784.010137 1743658200.0 `1743658794.010137 1743658200.0 `1743658804.010154 1743658200.0 `1743658814.010142 1743658200.0 `1743658833.009125 1743658200.0 `1743658843.010139 1743658200.0 `1743658854.010136 1743658200.0 `1743658864.010158 1743658200.0 `1743658894.010132 1743658200.0 `1743658903.009187 1743658200.0 `1743658913.010138 1743658200.0 `1743658923.009777 1743658200.0 `1743658933.010136 1743658200.0 `1743658944.010134 1743658200.0 `1743658954.010144 1743658200.0 `1743658964.01014 1743658200.0 `1743658974.010135 1743658200.0 `1743658984.010152 1743658200.0 `1743658993.009127 1743658200.0 `1743659024.010134 1743658200.0 `1743659034.010136 1743658200.0 `1743659044.01015 1743658200.0 `1743659054.010136 1743658200.0 `1743659073.00913 1743658200.0 `1743659083.010141 1743658200.0 `1743659094.010137 1743658200.0 `1743659104.010154 1743659100.0 `1743659114.010135 1743659100.0 `1743659124.010135 1743659100.0 `1743659164.010153 1743659100.0 `1743659174.010139 1743659100.0 `1743659184.010135 1743659100.0 `1743659194.010137 1743659100.0 `1743659204.010141 1743659100.0 `1743659213.009127 1743659100.0 `1743659223.010161 1743659100.0 `1743659234.010139 1743659100.0 `1743659244.01014 1743659100.0 `1743659254.010135 1743659100.0 `1743659283.009138 1743659100.0 `1743659293.010135 1743659100.0 `1743659303.010135 1743659100.0 `1743659314.010136 1743659100.0 `1743659324.010135 1743659100.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.028867483139038086 ***** 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': '03042025', 'map_nb_amount': {0: 5, 1: 32, 2: 9, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 600.0000030994415, 'nb_balles_papier': 0.00046000000000000056, 'begin_time_port': 'image_03042025_05_49_54_010136m0.jpg 6e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00046000000000000056 We reject this portfolio because of the condition_save_data : 2025-04-03 05:49:54.010136 result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 11, 1: 54, 2: 7, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9989809989929, 'nb_balles_papier': 0.0007300000000000013, 'begin_time_port': 'image_03042025_06_00_04_010145m0.jpg 1e-05 for time 1, id_amount 0 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007300000000000013 We reject this portfolio because of the condition_save_data : 2025-04-03 06:00:04.010145 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 7, 1: 60, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 879.9999861717224, 'nb_balles_papier': 0.0006900000000000012, 'begin_time_port': 'image_03042025_06_15_04_010151m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006900000000000012 We reject this portfolio because of the condition_save_data : 2025-04-03 06:15:04.010151 result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 8, 1: 54, 2: 12, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 880.0000050067902, 'nb_balles_papier': 0.0007400000000000013, 'begin_time_port': 'image_03042025_06_30_14_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) : 0.0007400000000000013 We reject this portfolio because of the condition_save_data : 2025-04-03 06:30:14.010136 result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 3, 1: 42, 2: 23, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 829.999979019165, 'nb_balles_papier': 0.0006800000000000011, 'begin_time_port': 'image_03042025_06_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 : 2025-04-03 06:45:04.010156 result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 9, 1: 52, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 880.9999418258667, 'nb_balles_papier': 0.0006600000000000011, 'begin_time_port': 'image_03042025_07_00_13_10194.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006600000000000011 ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 1, 1: 43, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 878.9989869594574, 'nb_balles_papier': 0.0004700000000000006, 'begin_time_port': 'image_03042025_07_15_04_010140m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004700000000000006 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': '03042025', 'map_nb_amount': {0: 2, 1: 34, 2: 7, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 870.0000030994415, 'nb_balles_papier': 0.0004400000000000005, 'begin_time_port': 'image_03042025_07_30_24_010134m0.jpg 1e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004400000000000005 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 result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 219.99998092651367, 'nb_balles_papier': 0, 'begin_time_port': 'image_03042025_07_45_04_10154.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 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 : {1349741473, 1349741793, 1349741764, 1349741768, 1349741545, 1349741354, 1349741740, 1349741811, 1349741719, 1349741403} Still a lot to verify ! Qualite : 0.03401982718799353 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`=22009574 AND mptpi.`type`=3726 To do Qualite : 0.047099162704770416 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`=22010196 AND mptpi.`type`=3726 To do Qualite : 0.04079066086446344 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`=22010987 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`=22011757 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 1.4507040977478027 # DISPLAY ALL COLLECTED DATA : {'03042025': {'nb_upload': 531, 'nb_taggue_class': 1616, 'nb_taggue_densite': 1616}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1349741811, 1349741793, 1349741768, 1349741764, 1349741740, 1349741719, 1349741545, 1349741473, 1349741403, 1349741354, 1349741163, 1349741155, 1349741139, 1349741135, 1349741128, 1349741121, 1349741033, 1349741029, 1349741015, 1349740918, 1349740912, 1349740908, 1349740904, 1349740891, 1349740822, 1349740819, 1349740808, 1349740797, 1349740715, 1349740709, 1349740703, 1349740694, 1349740683, 1349740675, 1349740626, 1349740622, 1349740617, 1349740611, 1349740448, 1349740442, 1349740436, 1349740431, 1349740408, 1349740266, 1349740255, 1349740251, 1349740242, 1349740218, 1349740057, 1349739992, 1349739987, 1349739981, 1349739919, 1349739890, 1349739873, 1349739857, 1349739850, 1349739846, 1349739813, 1349739796, 1349739789, 1349739784, 1349739770, 1349739710, 1349739705, 1349739699, 1349739687, 1349739672, 1349739599, 1349739558, 1349739375, 1349739321, 1349739313, 1349739302, 1349739295, 1349739248, 1349739243, 1349739239, 1349739233, 1349739229, 1349739062, 1349739056, 1349738939, 1349738927, 1349738824, 1349738801, 1349738770, 1349738745, 1349738734, 1349738691, 1349738686, 1349738682, 1349738676, 1349738670, 1349738629, 1349738623, 1349738619, 1349738614, 1349738608, 1349738581] Looping around the photos to save general results len do output : 1 /21995993Didn'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, '2719554') ('4876', '21995993', '1349741811', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349741793', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349741768', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349741764', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349741740', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349741719', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349741545', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349741473', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349741403', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349741354', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349741163', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349741155', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349741139', None, None, None, None, None, '2719554') ('4876', None, None, 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'2719554') ('4876', '21995993', '1349740912', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740908', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740904', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740891', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740822', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740819', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740808', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740797', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740715', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740709', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740703', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740694', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740683', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740675', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740626', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740622', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740617', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740611', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740448', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740442', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740436', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740431', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740408', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740266', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740255', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740251', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740242', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740218', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349740057', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739992', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739987', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739981', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739919', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739890', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739873', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739857', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', 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('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739321', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739313', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739302', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739295', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739248', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739243', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739239', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739233', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739229', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739062', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349739056', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738939', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738927', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738824', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738801', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738770', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738745', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738734', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738691', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738686', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738682', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738676', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738670', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738629', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738623', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738619', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738614', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738608', None, None, None, None, None, '2719554') ('4876', None, None, None, None, None, None, None, '2719554') ('4876', '21995993', '1349738581', None, None, None, None, None, '2719554') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.13254380226135254 save_final save missing photos in datou_result : time spend for datou_step_exec : 6.659361362457275 time spend to save output : 0.13323450088500977 total time spend for step 1 : 6.792595863342285 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 1.64user 0.99system 0:10.97elapsed 24%CPU (0avgtext+0avgdata 102540maxresident)k 0inputs+128outputs (1major+49578minor)pagefaults 0swaps