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 : 2468749 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 list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2539714'] with mtr_portfolio_ids : ['20166663'] and first list_photo_ids : [] new path : /proc/2468749/ 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 : 0.06324386596679688 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Feb 3 12:04:28 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('05', 78), ('06', 2), ('07', 2), ('08', 2), ('09', 126), ('10', 125), ('11', 204), ('12', 14)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 432} 03022025 20166663 Nombre de photos uploadées : 329 / 23040 (1%) 03022025 20166663 Nombre de photos taguées (types de déchets): 432 / 329 (131%) 03022025 20166663 Nombre de photos taguées (volume) : 432 / 329 (131%) elapsed_time : load_data_split_time_score 3.5762786865234375e-06 elapsed_time : order_list_meta_photo_and_scores 0.0003268718719482422 ????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.016280412673950195 elapsed_time : insert_dashboard_record_day_entry 0.023735523223876953 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 elapsed_time : list_photo_by_hashtags 0.013319253921508789 photos_removed : len 0 elapsed_time : load_duplicate_info 0.029682636260986328 ***** BEGIN SPLIT TIME ***** True 1738540800.0 `1738573434.010138 1738573200.0 `1738573454.010139 1738573200.0 `1738573464.010136 1738573200.0 `1738573474.010135 1738573200.0 `1738573514.010134 1738573200.0 `1738573524.010136 1738573200.0 `1738573534.01014 1738573200.0 `1738573555.010145 1738573200.0 `1738573574.010139 1738573200.0 `1738573584.010136 1738573200.0 `1738573594.010145 1738573200.0 `1738573604.010141 1738573200.0 `1738573614.010139 1738573200.0 `1738573644.010144 1738573200.0 `1738573664.010138 1738573200.0 `1738573674.01014 1738573200.0 `1738573684.010151 1738573200.0 `1738573695.010143 1738573200.0 `1738573704.009124 1738573200.0 `1738573714.010141 1738573200.0 `1738573734.010147 1738573200.0 `1738573744.010152 1738573200.0 `1738573934.010141 1738573200.0 `1738573985.010151 1738573200.0 `1738573994.009123 1738573200.0 `1738574004.010138 1738573200.0 `1738574014.010136 1738573200.0 `1738574034.010137 1738573200.0 `1738574044.010138 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`1738574714.009133 1738574100.0 `1738574734.010142 1738574100.0 `1738574744.010145 1738574100.0 `1738574754.010144 1738574100.0 `1738574804.010136 1738574100.0 `1738574814.010137 1738574100.0 `1738574824.010136 1738574100.0 `1738574844.010136 1738574100.0 `1738574874.010138 1738574100.0 `1738574894.010138 1738574100.0 `1738574904.010139 1738574100.0 `1738574924.009132 1738574100.0 `1738574944.010151 1738574100.0 `1738574954.010137 1738574100.0 `1738574964.010137 1738574100.0 `1738574974.010148 1738574100.0 `1738575004.010156 1738575000.0 `1738575014.010137 1738575000.0 `1738575104.010142 1738575000.0 `1738575114.010138 1738575000.0 `1738575205.010135 1738575000.0 `1738575224.010141 1738575000.0 `1738575234.010136 1738575000.0 `1738575254.010139 1738575000.0 `1738575264.010137 1738575000.0 `1738575275.010151 1738575000.0 `1738575284.009131 1738575000.0 `1738575294.01014 1738575000.0 `1738575304.010159 1738575000.0 `1738575314.010136 1738575000.0 `1738575334.010134 1738575000.0 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`1738577145.010141 1738576800.0 `1738577254.010144 1738576800.0 `1738577294.009126 1738576800.0 `1738577304.010137 1738576800.0 `1738577324.010143 1738576800.0 `1738577414.010148 1738576800.0 `1738577495.010143 1738576800.0 `1738577504.00913 1738576800.0 `1738577664.010141 1738576800.0 `1738577674.010172 1738576800.0 `1738577784.009128 1738577700.0 `1738577814.010139 1738577700.0 `1738577834.010135 1738577700.0 `1738577864.009134 1738577700.0 `1738577874.010136 1738577700.0 `1738577884.010148 1738577700.0 `1738577915.010148 1738577700.0 `1738577925.010145 1738577700.0 `1738577964.010136 1738577700.0 `1738577974.010148 1738577700.0 `1738577985.010141 1738577700.0 `1738577995.010135 1738577700.0 `1738578004.009144 1738577700.0 `1738578014.01014 1738577700.0 `1738578024.010136 1738577700.0 `1738578034.010142 1738577700.0 `1738578044.010141 1738577700.0 `1738578055.010135 1738577700.0 `1738578065.010167 1738577700.0 `1738578094.010133 1738577700.0 `1738578104.010133 1738577700.0 `1738578114.010139 1738577700.0 `1738578125.010153 1738577700.0 `1738578135.010143 1738577700.0 `1738578154.010146 1738577700.0 `1738578164.01014 1738577700.0 `1738578174.010136 1738577700.0 `1738578184.010159 1738577700.0 `1738578195.010136 1738577700.0 `1738578205.010135 1738577700.0 `1738578234.010135 1738577700.0 `1738578244.010145 1738577700.0 `1738578254.010136 1738577700.0 `1738578264.010136 1738577700.0 `1738578275.010138 1738577700.0 `1738578285.01014 1738577700.0 `1738578304.010148 1738577700.0 `1738578324.010137 1738577700.0 `1738578334.010134 1738577700.0 `1738578345.010137 1738577700.0 `1738578355.010136 1738577700.0 `1738578364.009161 1738577700.0 `1738578404.010142 1738577700.0 `1738578425.010158 1738577700.0 `1738578434.009125 1738577700.0 `1738578444.010135 1738577700.0 `1738578454.010147 1738577700.0 `1738578474.010137 1738577700.0 `1738578495.01014 1738577700.0 `1738578504.009128 1738577700.0 `1738578514.010138 1738577700.0 `1738578534.010138 1738577700.0 `1738578555.010137 1738577700.0 `1738578565.010136 1738577700.0 `1738578584.010144 1738577700.0 `1738578594.010136 1738577700.0 `1738578604.010152 1738578600.0 `1738578614.010136 1738578600.0 `1738578625.010134 1738578600.0 `1738578635.01014 1738578600.0 `1738578674.010137 1738578600.0 `1738578694.010139 1738578600.0 `1738578705.010139 1738578600.0 `1738578724.01015 1738578600.0 `1738578734.010142 1738578600.0 `1738578744.010138 1738578600.0 `1738578754.010147 1738578600.0 `1738578764.010145 1738578600.0 `1738578775.010138 1738578600.0 `1738578794.010153 1738578600.0 `1738578804.010143 1738578600.0 `1738578814.010134 1738578600.0 `1738578834.010139 1738578600.0 `1738578845.010156 1738578600.0 `1738578854.009127 1738578600.0 `1738578864.010136 1738578600.0 `1738578894.010136 1738578600.0 `1738578904.010144 1738578600.0 `1738578925.010137 1738578600.0 `1738578944.010149 1738578600.0 `1738578964.010147 1738578600.0 `1738578974.010137 1738578600.0 `1738578985.010136 1738578600.0 `1738578995.010151 1738578600.0 `1738579004.009132 1738578600.0 `1738579014.010139 1738578600.0 `1738579024.010154 1738578600.0 `1738579034.010135 1738578600.0 `1738579044.010134 1738578600.0 `1738579084.01014 1738578600.0 `1738579094.010138 1738578600.0 `1738579114.01015 1738578600.0 `1738579125.010141 1738578600.0 `1738579135.010135 1738578600.0 `1738579144.009148 1738578600.0 `1738579164.010148 1738578600.0 `1738579174.010141 1738578600.0 `1738579184.010138 1738578600.0 `1738579195.010138 1738578600.0 `1738579205.010146 1738578600.0 `1738579224.010135 1738578600.0 `1738579234.010136 1738578600.0 `1738579244.010136 1738578600.0 `1738579254.010135 1738578600.0 `1738579284.009124 1738578600.0 `1738579294.010134 1738578600.0 `1738579304.010137 1738578600.0 `1738579314.010139 1738578600.0 `1738579324.01017 1738578600.0 `1738579334.010139 1738578600.0 `1738579345.010135 1738578600.0 `1738579364.010157 1738578600.0 `1738579374.010154 1738578600.0 `1738579384.010157 1738578600.0 `1738579394.010135 1738578600.0 `1738579404.010136 1738578600.0 `1738579415.010135 1738578600.0 `1738579434.010155 1738578600.0 `1738579444.010161 1738578600.0 `1738579464.010142 1738578600.0 `1738579485.01014 1738578600.0 `1738579524.010132 1738579500.0 `1738579534.010136 1738579500.0 `1738579544.010136 1738579500.0 `1738579555.01014 1738579500.0 `1738579574.010135 1738579500.0 `1738579584.010135 1738579500.0 `1738579594.010146 1738579500.0 `1738579614.010138 1738579500.0 `1738579625.010154 1738579500.0 `1738579635.010137 1738579500.0 `1738579644.009127 1738579500.0 `1738579654.010145 1738579500.0 `1738579674.01014 1738579500.0 `1738579684.010156 1738579500.0 `1738579705.010136 1738579500.0 `1738579714.009126 1738579500.0 `1738579724.010139 1738579500.0 `1738579734.010143 1738579500.0 `1738579754.010137 1738579500.0 `1738579765.010136 1738579500.0 `1738579775.010132 1738579500.0 `1738579804.010138 1738579500.0 `1738579814.010137 1738579500.0 `1738579824.010132 1738579500.0 `1738579835.010145 1738579500.0 `1738579845.010144 1738579500.0 `1738579854.009125 1738579500.0 `1738579874.010139 1738579500.0 `1738579884.010135 1738579500.0 `1738579894.01014 1738579500.0 `1738579905.010139 1738579500.0 `1738579915.010136 1738579500.0 `1738579924.009157 1738579500.0 `1738579934.010139 1738579500.0 `1738579944.010139 1738579500.0 `1738579954.010149 1738579500.0 `1738579964.010139 1738579500.0 `1738579985.010152 1738579500.0 `1738579994.009126 1738579500.0 `1738580004.01016 1738579500.0 `1738580014.010141 1738579500.0 `1738580104.010159 1738579500.0 `1738580125.01014 1738579500.0 `1738580144.010141 1738579500.0 `1738580154.010138 1738579500.0 `1738580164.010135 1738579500.0 `1738580174.010138 1738579500.0 `1738580184.010137 1738579500.0 `1738580195.010145 1738579500.0 `1738580205.010148 1738579500.0 `1738580214.009133 1738579500.0 `1738580224.010154 1738579500.0 `1738580244.010136 1738579500.0 `1738580265.010139 1738579500.0 `1738580275.010138 1738579500.0 `1738580284.009132 1738579500.0 `1738580294.010138 1738579500.0 `1738580314.010153 1738579500.0 `1738580324.010143 1738579500.0 `1738580363.010136 1738579500.0 `1738580373.010135 1738579500.0 `1738580394.010138 1738579500.0 `1738580404.01014 1738580400.0 `1738580413.009128 1738580400.0 `1738580423.010138 1738580400.0 `1738580433.010155 1738580400.0 `1738580443.010136 1738580400.0 `1738580454.010136 1738580400.0 `1738580464.010139 1738580400.0 `1738580474.010141 1738580400.0 `1738580483.009136 1738580400.0 `1738580493.010156 1738580400.0 `1738580503.01015 1738580400.0 `1738580513.010147 1738580400.0 `1738580553.009125 1738580400.0 `1738580563.010149 1738580400.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.017917871475219727 ***** 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 result_one_balle_Type_JRM:{'day': '03022025', 'map_nb_amount': {0: 6, 1: 20, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 639.9999959468842, 'nb_balles_papier': 0.0002800000000000001, 'begin_time_port': 'image_03022025_10_03_54_010138m0.jpg 6e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0002800000000000001 We reject this portfolio because of the condition_save_data : 2025-02-03 10:03:54.010138 result_one_balle_Type_JRM:{'day': '03022025', 'map_nb_amount': {0: 4, 1: 36, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 869.9999980926514, 'nb_balles_papier': 0.00046000000000000056, 'begin_time_port': 'image_03022025_10_15_04_010150m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00046000000000000056 We reject this portfolio because of the condition_save_data : 2025-02-03 10:15:04.010150 ERROR missing amount info result_one_balle_Type_JRM:{'day': '03022025', 'map_nb_amount': {0: 3, 1: 12, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 649.999979019165, 'nb_balles_papier': 0.00016, 'begin_time_port': 'image_03022025_10_30_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) : 0.00016 We reject this portfolio because of the condition_save_data : 2025-02-03 10:30:04.010156 ERROR missing amount info result_one_balle_Type_JRM:{'day': '03022025', 'map_nb_amount': {0: 1, 1: 12, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 389.99999809265137, 'nb_balles_papier': 0.00017, 'begin_time_port': 'image_03022025_10_51_54_10140.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00017 We reject this portfolio because of the condition_save_data : 2025-02-03 10:51:54.010140 ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '03022025', 'map_nb_amount': {0: 0, 1: 17, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 859.9999868869781, 'nb_balles_papier': 0.00019, 'begin_time_port': 'image_03022025_11_00_14_010185m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00019 We reject this portfolio because of the condition_save_data : 2025-02-03 11:00:14.010185 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '03022025', 'map_nb_amount': {0: 4, 1: 30, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 810.0010077953339, 'nb_balles_papier': 0.0003600000000000003, 'begin_time_port': 'image_03022025_11_16_24_009128m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0003600000000000003 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '03022025', 'map_nb_amount': {0: 4, 1: 35, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 880.9999878406525, 'nb_balles_papier': 0.0004100000000000004, 'begin_time_port': 'image_03022025_11_30_04_010152m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004100000000000004 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '03022025', 'map_nb_amount': {0: 3, 1: 22, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 870.0000059604645, 'nb_balles_papier': 0.00025, 'begin_time_port': 'image_03022025_11_45_24_10132.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00025 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '03022025', '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': 159.000009059906, 'nb_balles_papier': 0, 'begin_time_port': 'image_03022025_12_00_04_10140.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 ! Still a lot to verify ! list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=JRM_diff_batch__03022025_12_00_04_010140&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Qualite : 0.04084993179438746 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`=20173625 AND mptpi.`type`=3726 To do Qualite : 0.04844188916591969 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`=20173987 AND mptpi.`type`=3726 To do Qualite : 0.041358462512147025 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`=20174900 AND mptpi.`type`=3726 To do There was a bug due to new port without datou_current_id # 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`=20175385 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 4.113753080368042 # DISPLAY ALL COLLECTED DATA : {'03022025': {'nb_upload': 329, 'nb_taggue_class': 432, 'nb_taggue_densite': 432}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1334165700, 1334165696, 1334165694, 1334165641, 1334165636, 1334165631, 1334165627, 1334165624, 1334165621, 1334165543, 1334165537, 1334165531, 1334165527, 1334165523, 1334165520, 1334165489, 1334165483, 1334165478, 1334165465, 1334165459, 1334165454, 1334165450, 1334165403, 1334165399, 1334165395, 1334165386, 1334165323, 1334165311, 1334165299, 1334165296, 1334165290, 1334165285, 1334165027, 1334164983, 1334164972, 1334164968, 1334164631, 1334164623, 1334164606, 1334164594, 1334164524, 1334164522, 1334164517, 1334164506, 1334164502, 1334164458, 1334164454, 1334164451, 1334164448, 1334164444, 1334164175, 1334164160, 1334164158, 1334164153, 1334164148, 1334164144, 1334164065, 1334164060, 1334164055, 1334164015, 1334164011, 1334164008, 1334164005, 1334164001, 1334163881, 1334163825, 1334163817, 1334163813, 1334163810, 1334163520, 1334163506, 1334163457, 1334163427, 1334162995, 1334162993, 1334162990, 1334162987, 1334162892, 1334162888, 1334162843, 1334162774, 1334162771, 1334162766, 1334162750, 1334162744, 1334162707, 1334162704, 1334162699, 1334162695, 1334162687, 1334162621, 1334162618, 1334162615, 1334162613, 1334162409, 1334162405, 1334162397, 1334162380, 1334162371, 1334162353] Looping around the photos to save general results len do output : 1 /20166663Didn'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, '2539714') ('4876', '20166663', '1334165700', None, None, None, None, None, '2539714') ('4876', None, None, None, None, None, None, None, '2539714') ('4876', '20166663', '1334165696', None, None, None, None, None, '2539714') ('4876', None, None, None, None, None, None, None, '2539714') ('4876', '20166663', '1334165694', None, None, None, None, None, '2539714') ('4876', None, None, None, None, None, None, None, '2539714') ('4876', '20166663', '1334165641', None, None, None, None, None, '2539714') ('4876', None, None, None, None, None, None, None, '2539714') ('4876', '20166663', '1334165636', None, None, None, None, None, '2539714') ('4876', None, None, None, None, None, None, None, '2539714') ('4876', '20166663', '1334165631', None, None, None, None, None, '2539714') ('4876', None, None, None, None, None, None, None, '2539714') ('4876', '20166663', '1334165627', None, None, None, None, None, '2539714') ('4876', None, None, None, None, None, None, None, '2539714') ('4876', '20166663', '1334165624', None, None, None, None, None, '2539714') ('4876', None, None, None, None, None, None, None, '2539714') ('4876', '20166663', '1334165621', None, None, None, None, None, '2539714') ('4876', None, None, None, None, None, None, None, '2539714') ('4876', '20166663', '1334165543', None, None, None, None, None, '2539714') ('4876', None, None, None, None, None, None, None, '2539714') ('4876', '20166663', '1334165537', None, None, None, None, None, '2539714') ('4876', None, None, None, None, None, None, None, '2539714') ('4876', '20166663', '1334165531', None, None, None, None, None, '2539714') ('4876', None, None, None, None, None, None, None, '2539714') ('4876', '20166663', '1334165527', None, None, None, None, None, '2539714') ('4876', None, None, 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'2539714') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.025506019592285156 save_final save missing photos in datou_result : time spend for datou_step_exec : 4.335088491439819 time spend to save output : 0.026282787322998047 total time spend for step 1 : 4.361371278762817 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 1.43user 0.50system 0:08.83elapsed 21%CPU (0avgtext+0avgdata 102504maxresident)k 0inputs+112outputs (16major+49177minor)pagefaults 0swaps