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 : 2735501 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 : 2048>1000 please execute split_portfolio.py -i 20278395 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2558841'] with mtr_portfolio_ids : ['20278395'] and first list_photo_ids : [] new path : /proc/2735501/ 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 : 0.03056025505065918 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Feb 6 08:38:27 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'}] (('01', 140), ('00', 274), ('02', 289), ('03', 302), ('04', 166), ('05', 244), ('06', 235), ('07', 237), ('08', 161)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 1474} 06022025 20278395 Nombre de photos uploadées : 481 / 23040 (2%) 06022025 20278395 Nombre de photos taguées (types de déchets): 1474 / 481 (306%) 06022025 20278395 Nombre de photos taguées (volume) : 1474 / 481 (306%) elapsed_time : load_data_split_time_score 4.76837158203125e-06 elapsed_time : order_list_meta_photo_and_scores 0.0006730556488037109 ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.06708788871765137 elapsed_time : insert_dashboard_record_day_entry 1.74226713180542 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 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 0.02425670623779297 photos_removed : len 0 elapsed_time : load_duplicate_info 0.027077913284301758 ***** BEGIN SPLIT TIME ***** True 1738800000.0 `1738820274.010142 1738819800.0 `1738820283.009148 1738819800.0 `1738820294.010142 1738819800.0 `1738820514.010149 1738819800.0 `1738820524.010153 1738819800.0 `1738820534.010142 1738819800.0 `1738820544.010138 1738819800.0 `1738820554.010143 1738819800.0 `1738820563.009134 1738819800.0 `1738820574.010148 1738819800.0 `1738820584.010158 1738819800.0 `1738820594.010138 1738819800.0 `1738820604.010142 1738819800.0 `1738820614.010136 1738819800.0 `1738820624.010137 1738819800.0 `1738820654.010142 1738819800.0 `1738820664.010133 1738819800.0 `1738820674.010139 1738819800.0 `1738820684.01015 1738819800.0 `1738820694.010144 1738819800.0 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`1738822024.010157 1738821600.0 `1738822043.010136 1738821600.0 `1738822064.010144 1738821600.0 `1738822183.010151 1738821600.0 `1738822304.010135 1738821600.0 `1738822314.010136 1738821600.0 `1738822354.010136 1738821600.0 `1738822364.010133 1738821600.0 `1738822373.009126 1738821600.0 `1738822383.010146 1738821600.0 `1738822394.010139 1738821600.0 `1738822404.010136 1738821600.0 `1738822414.010138 1738821600.0 `1738822424.010138 1738821600.0 `1738822434.010137 1738821600.0 `1738822443.009138 1738821600.0 `1738822564.010144 1738822500.0 `1738822584.010136 1738822500.0 `1738822593.009125 1738822500.0 `1738822603.010138 1738822500.0 `1738822614.010139 1738822500.0 `1738822624.010153 1738822500.0 `1738822663.009127 1738822500.0 `1738822673.010138 1738822500.0 `1738822684.010167 1738822500.0 `1738822694.010141 1738822500.0 `1738822704.010135 1738822500.0 `1738822714.010141 1738822500.0 `1738822724.010142 1738822500.0 `1738822743.010138 1738822500.0 `1738822754.010141 1738822500.0 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`1738824844.010137 1738824300.0 `1738824863.009125 1738824300.0 `1738824884.010149 1738824300.0 `1738824894.010147 1738824300.0 `1738824904.010154 1738824300.0 `1738824914.010138 1738824300.0 `1738824933.009138 1738824300.0 `1738824954.010138 1738824300.0 `1738824974.010142 1738824300.0 `1738824984.01014 1738824300.0 `1738824994.010135 1738824300.0 `1738825034.010137 1738824300.0 `1738825044.010141 1738824300.0 `1738825054.010146 1738824300.0 `1738825064.010145 1738824300.0 `1738825073.009126 1738824300.0 `1738825083.010166 1738824300.0 `1738825094.010141 1738824300.0 `1738825104.010137 1738824300.0 `1738825124.010139 1738824300.0 `1738825184.010136 1738824300.0 `1738825314.010142 1738825200.0 `1738825334.010144 1738825200.0 `1738825354.010148 1738825200.0 `1738825364.010143 1738825200.0 `1738825404.010136 1738825200.0 `1738825414.010138 1738825200.0 `1738825424.010142 1738825200.0 `1738825434.010139 1738825200.0 `1738825444.009141 1738825200.0 `1738825454.01014 1738825200.0 `1738825464.010137 1738825200.0 `1738825474.010137 1738825200.0 `1738825484.010141 1738825200.0 `1738825494.010139 1738825200.0 `1738825504.010148 1738825200.0 `1738825514.009132 1738825200.0 `1738825524.010142 1738825200.0 `1738825564.010144 1738825200.0 `1738825574.010141 1738825200.0 `1738825584.009126 1738825200.0 `1738825594.01014 1738825200.0 `1738825604.01014 1738825200.0 `1738825614.010135 1738825200.0 `1738825634.01014 1738825200.0 `1738825644.010136 1738825200.0 `1738825664.009127 1738825200.0 `1738825674.010142 1738825200.0 `1738825684.010161 1738825200.0 `1738825694.010137 1738825200.0 `1738825734.009129 1738825200.0 `1738825744.010153 1738825200.0 `1738825754.010134 1738825200.0 `1738825764.010136 1738825200.0 `1738825774.010139 1738825200.0 `1738825784.01014 1738825200.0 `1738825794.010137 1738825200.0 `1738825804.009156 1738825200.0 `1738825814.010143 1738825200.0 `1738825824.010136 1738825200.0 `1738825834.010135 1738825200.0 `1738825844.010139 1738825200.0 `1738825854.010136 1738825200.0 `1738825894.010142 1738825200.0 `1738825904.010137 1738825200.0 `1738825914.01014 1738825200.0 `1738825924.010158 1738825200.0 `1738825934.010136 1738825200.0 `1738825944.009127 1738825200.0 `1738825954.010146 1738825200.0 `1738825964.010141 1738825200.0 `1738825974.010137 1738825200.0 `1738825984.010148 1738825200.0 `1738826004.010137 1738825200.0 `1738826014.009139 1738825200.0 `1738826054.010136 1738825200.0 `1738826074.010143 1738825200.0 `1738826084.009129 1738825200.0 `1738826094.010141 1738825200.0 `1738826114.009126 1738826100.0 `1738826124.010148 1738826100.0 `1738826134.010141 1738826100.0 `1738826144.010146 1738826100.0 `1738826154.010139 1738826100.0 `1738826164.010149 1738826100.0 `1738826174.01014 1738826100.0 `1738826184.009127 1738826100.0 `1738826194.010136 1738826100.0 `1738826204.010139 1738826100.0 `1738826214.010137 1738826100.0 `1738826255.010134 1738826100.0 `1738826264.00913 1738826100.0 `1738826284.010153 1738826100.0 `1738826294.010144 1738826100.0 `1738826314.010145 1738826100.0 `1738826325.010145 1738826100.0 `1738826334.009128 1738826100.0 `1738826354.010141 1738826100.0 `1738826364.010136 1738826100.0 `1738826374.010136 1738826100.0 `1738826384.010136 1738826100.0 `1738826414.010135 1738826100.0 `1738826424.010134 1738826100.0 `1738826434.010141 1738826100.0 `1738826444.010146 1738826100.0 `1738826454.010138 1738826100.0 `1738826464.010144 1738826100.0 `1738826474.009128 1738826100.0 `1738826484.010207 1738826100.0 `1738826494.010137 1738826100.0 `1738826504.010136 1738826100.0 `1738826554.010136 1738826100.0 `1738826564.010136 1738826100.0 `1738826594.010139 1738826100.0 `1738826604.010134 1738826100.0 `1738826614.009131 1738826100.0 `1738826624.010141 1738826100.0 `1738826634.010142 1738826100.0 `1738826644.010142 1738826100.0 `1738826654.010142 1738826100.0 `1738826664.010137 1738826100.0 `1738826674.010133 1738826100.0 `1738826704.010157 1738826100.0 `1738826714.010139 1738826100.0 `1738826724.010136 1738826100.0 `1738826734.010138 1738826100.0 `1738826744.010148 1738826100.0 `1738826754.009127 1738826100.0 `1738826764.010159 1738826100.0 `1738826774.010142 1738826100.0 `1738826784.010136 1738826100.0 `1738826794.010142 1738826100.0 `1738826804.010142 1738826100.0 `1738826834.010134 1738826100.0 `1738826844.010132 1738826100.0 `1738826854.010138 1738826100.0 `1738826864.010139 1738826100.0 `1738826874.010137 1738826100.0 `1738826884.010156 1738826100.0 `1738826894.009127 1738826100.0 `1738826904.010136 1738826100.0 `1738826914.010137 1738826100.0 `1738826924.010138 1738826100.0 `1738826934.010134 1738826100.0 `1738826954.00913 1738826100.0 `1738826964.010134 1738826100.0 `1738826974.010136 1738826100.0 `1738826984.010136 1738826100.0 `1738826994.010137 1738826100.0 `1738827004.010141 1738827000.0 `1738827025.010135 1738827000.0 `1738827034.009125 1738827000.0 `1738827044.010136 1738827000.0 `1738827054.010142 1738827000.0 `1738827064.010137 1738827000.0 `1738827074.010145 1738827000.0 `1738827104.009136 1738827000.0 `1738827114.01015 1738827000.0 `1738827124.010179 1738827000.0 `1738827134.010143 1738827000.0 `1738827144.010136 1738827000.0 `1738827154.010143 1738827000.0 `1738827165.010148 1738827000.0 `1738827174.009165 1738827000.0 `1738827184.010173 1738827000.0 `1738827194.010143 1738827000.0 `1738827204.010141 1738827000.0 `1738827244.010142 1738827000.0 `1738827254.010144 1738827000.0 `1738827264.010142 1738827000.0 `1738827274.010152 1738827000.0 `1738827284.010148 1738827000.0 `1738827294.010146 1738827000.0 `1738827304.009146 1738827000.0 `1738827314.010144 1738827000.0 `1738827324.010141 1738827000.0 `1738827334.01014 1738827000.0 `1738827344.010136 1738827000.0 `1738827364.010143 1738827000.0 `1738827374.009123 1738827000.0 `1738827384.010134 1738827000.0 `1738827394.010136 1738827000.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.022626876831054688 ***** 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 result_one_balle_Type_JRM:{'day': '06022025', 'map_nb_amount': {0: 2, 1: 10, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 420.00000190734863, 'nb_balles_papier': 0.00013000000000000002, 'begin_time_port': 'image_06022025_06_37_54_010142m0.jpg 6e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00013000000000000002 We reject this portfolio because of the condition_save_data : 2025-02-06 06:37:54.010142 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': '06022025', 'map_nb_amount': {0: 7, 1: 38, 2: 10, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 810.0000059604645, 'nb_balles_papier': 0.0005500000000000008, 'begin_time_port': 'image_06022025_06_45_24_010147m0.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 We reject this portfolio because of the condition_save_data : 2025-02-06 06:45:24.010147 ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '06022025', 'map_nb_amount': {0: 7, 1: 36, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 829.9989550113678, 'nb_balles_papier': 0.0004400000000000005, 'begin_time_port': 'image_06022025_07_00_13_010183m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004400000000000005 We reject this portfolio because of the condition_save_data : 2025-02-06 07:00:13.010183 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': '06022025', 'map_nb_amount': {0: 8, 1: 42, 2: 10, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 829.9999949932098, 'nb_balles_papier': 0.0006000000000000009, 'begin_time_port': 'image_06022025_07_16_04_010144m0.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 : 2025-02-06 07:16:04.010144 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '06022025', 'map_nb_amount': {0: 9, 1: 51, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 888.9989638328552, 'nb_balles_papier': 0.000610000000000001, 'begin_time_port': 'image_06022025_07_30_04_010162m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.000610000000000001 We reject this portfolio because of the condition_save_data : 2025-02-06 07:30:04.010162 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': '06022025', 'map_nb_amount': {0: 1, 1: 47, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 880.9999690055847, 'nb_balles_papier': 0.0005600000000000008, 'begin_time_port': 'image_06022025_07_45_03_010167m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005600000000000008 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': '06022025', 'map_nb_amount': {0: 5, 1: 30, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 779.9999988079071, 'nb_balles_papier': 0.0003700000000000003, 'begin_time_port': 'image_06022025_08_01_54_10142.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0003700000000000003 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': '06022025', 'map_nb_amount': {0: 0, 1: 34, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 880.001011133194, 'nb_balles_papier': 0.00034000000000000024, 'begin_time_port': 'image_06022025_08_15_14_9126.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00034000000000000024 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': '06022025', 'map_nb_amount': {0: 2, 1: 3, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 389.99999499320984, 'nb_balles_papier': 5e-05, 'begin_time_port': 'image_06022025_08_30_04_10141.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 5e-05 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 : {1335160288, 1335160481, 1335160450, 1335160707, 1335160390, 1335160713, 1335160365, 1335160749, 1335160725, 1335160666} Still a lot to verify ! Qualite : 0.05883959624759791 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`=20292165 AND mptpi.`type`=3726 To do Qualite : 0.052916176377447124 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`=20292813 AND mptpi.`type`=3726 To do Qualite : 0.03649676263827339 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`=20293389 AND mptpi.`type`=3726 To do Qualite : 0.03874404739985453 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`=20293740 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.9428558349609375 # DISPLAY ALL COLLECTED DATA : {'06022025': {'nb_upload': 481, 'nb_taggue_class': 1474, 'nb_taggue_densite': 1474}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1335160749, 1335160725, 1335160713, 1335160707, 1335160666, 1335160481, 1335160450, 1335160390, 1335160365, 1335160288, 1335160237, 1335160217, 1335160166, 1335160096, 1335160032, 1335159889, 1335159825, 1335159781, 1335159716, 1335159175, 1335159097, 1335159014, 1335158956, 1335158888, 1335158829, 1335158631, 1335158628, 1335158624, 1335158621, 1335158584, 1335158581, 1335158578, 1335158575, 1335158572, 1335158545, 1335158536, 1335158531, 1335158527, 1335158521, 1335158491, 1335158487, 1335158483, 1335158478, 1335158474, 1335158471, 1335158173, 1335158162, 1335158158, 1335158112, 1335158110, 1335157893, 1335157829, 1335157780, 1335157749, 1335157693, 1335157231, 1335157220, 1335157215, 1335157211, 1335157209, 1335157200, 1335157172, 1335157159, 1335157092, 1335157050, 1335156485, 1335156413, 1335156336, 1335156266, 1335156181, 1335155866, 1335155862, 1335155832, 1335155828, 1335155824, 1335155820, 1335155815, 1335155780, 1335155776, 1335155774, 1335155772, 1335155771, 1335155742, 1335155738, 1335155734, 1335155731, 1335155678, 1335155676, 1335155674, 1335155672, 1335155670, 1335155601, 1335155599, 1335155571, 1335155558, 1335155554, 1335155550, 1335155546, 1335155543, 1335155526] Looping around the photos to save general results len do output : 1 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None, None, None, None, None, '2558841') ('4876', None, None, None, None, None, None, None, '2558841') ('4876', '20278395', '1335155571', None, None, None, None, None, '2558841') ('4876', None, None, None, None, None, None, None, '2558841') ('4876', '20278395', '1335155558', None, None, None, None, None, '2558841') ('4876', None, None, None, None, None, None, None, '2558841') ('4876', '20278395', '1335155554', None, None, None, None, None, '2558841') ('4876', None, None, None, None, None, None, None, '2558841') ('4876', '20278395', '1335155550', None, None, None, None, None, '2558841') ('4876', None, None, None, None, None, None, None, '2558841') ('4876', '20278395', '1335155546', None, None, None, None, None, '2558841') ('4876', None, None, None, None, None, None, None, '2558841') ('4876', '20278395', '1335155543', None, None, None, None, None, '2558841') ('4876', None, None, None, None, None, None, None, '2558841') ('4876', '20278395', '1335155526', None, None, None, None, None, '2558841') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.02323174476623535 save_final save missing photos in datou_result : time spend for datou_step_exec : 3.0297048091888428 time spend to save output : 0.02408909797668457 total time spend for step 1 : 3.0537939071655273 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 1 set_done_treatment 1.37user 0.77system 0:05.55elapsed 38%CPU (0avgtext+0avgdata 103056maxresident)k 0inputs+128outputs (1major+49504minor)pagefaults 0swaps