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 : 3104486 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 : 1598>1000 please execute split_portfolio.py -i 20234215 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2549800'] with mtr_portfolio_ids : ['20234215'] and first list_photo_ids : [] new path : /proc/3104486/ 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 : 0.02586841583251953 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Feb 5 09:14:27 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', 141), ('00', 67), ('02', 226), ('03', 228), ('04', 115), ('05', 229), ('06', 188), ('07', 151), ('08', 253)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 1099, 2: 1} 05022025 20234215 Nombre de photos uploadées : 384 / 23040 (1%) 05022025 20234215 Nombre de photos taguées (types de déchets): 1100 / 384 (286%) 05022025 20234215 Nombre de photos taguées (volume) : 1100 / 384 (286%) elapsed_time : load_data_split_time_score 2.6226043701171875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0005195140838623047 ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.016257047653198242 elapsed_time : insert_dashboard_record_day_entry 0.0352940559387207 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 Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None 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 0.020873069763183594 photos_removed : len 0 elapsed_time : load_duplicate_info 0.056710243225097656 ***** BEGIN SPLIT TIME ***** True 1738713600.0 `1738735734.010146 1738735200.0 `1738735754.01014 1738735200.0 `1738735764.010134 1738735200.0 `1738735773.009122 1738735200.0 `1738735783.010138 1738735200.0 `1738735794.010139 1738735200.0 `1738735804.010161 1738735200.0 `1738735814.010138 1738735200.0 `1738735824.010138 1738735200.0 `1738735834.010137 1738735200.0 `1738735843.009127 1738735200.0 `1738735853.010135 1738735200.0 `1738735863.010141 1738735200.0 `1738735904.010133 1738735200.0 `1738735914.010138 1738735200.0 `1738735933.010139 1738735200.0 `1738735944.01014 1738735200.0 `1738735954.010135 1738735200.0 `1738735964.010137 1738735200.0 `1738735974.010136 1738735200.0 `1738735984.010139 1738735200.0 `1738735993.009124 1738735200.0 `1738735993.009124 1738735200.0 `1738736014.01014 1738735200.0 `1738736014.01014 1738735200.0 `1738736024.010134 1738735200.0 `1738736024.010134 1738735200.0 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`1738736404.010139 1738736100.0 `1738736414.010141 1738736100.0 `1738736424.010139 1738736100.0 `1738736433.009126 1738736100.0 `1738736443.010135 1738736100.0 `1738736454.010136 1738736100.0 `1738736464.010138 1738736100.0 `1738736474.010141 1738736100.0 `1738736494.010134 1738736100.0 `1738736503.009121 1738736100.0 `1738736513.010137 1738736100.0 `1738736524.01015 1738736100.0 `1738736534.010141 1738736100.0 `1738736544.010137 1738736100.0 `1738736554.010136 1738736100.0 `1738736564.010143 1738736100.0 `1738736573.009137 1738736100.0 `1738736583.01015 1738736100.0 `1738736594.01014 1738736100.0 `1738736604.010144 1738736100.0 `1738736614.010135 1738736100.0 `1738736643.009145 1738736100.0 `1738736653.010142 1738736100.0 `1738736663.009961 1738736100.0 `1738736673.010139 1738736100.0 `1738736684.010138 1738736100.0 `1738736694.010138 1738736100.0 `1738736704.010152 1738736100.0 `1738736714.010144 1738736100.0 `1738736724.010136 1738736100.0 `1738736733.009126 1738736100.0 `1738736743.010135 1738736100.0 `1738736774.010139 1738736100.0 `1738736784.010133 1738736100.0 `1738736813.010138 1738736100.0 `1738736824.010163 1738736100.0 `1738736834.010142 1738736100.0 `1738736844.010141 1738736100.0 `1738736854.010142 1738736100.0 `1738736864.010143 1738736100.0 `1738736873.009137 1738736100.0 `1738736883.01014 1738736100.0 `1738736894.010139 1738736100.0 `1738736904.010137 1738736100.0 `1738736914.010142 1738736100.0 `1738736924.010136 1738736100.0 `1738736934.010138 1738736100.0 `1738736943.009137 1738736100.0 `1738736974.010134 1738736100.0 `1738736984.010133 1738736100.0 `1738736994.010137 1738736100.0 `1738737004.010171 1738737000.0 `1738737013.009126 1738737000.0 `1738737023.010134 1738737000.0 `1738737044.010144 1738737000.0 `1738737054.010144 1738737000.0 `1738737064.010154 1738737000.0 `1738737074.010135 1738737000.0 `1738737093.010134 1738737000.0 `1738737103.010135 1738737000.0 `1738737124.010149 1738737000.0 `1738737134.010138 1738737000.0 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`1738740134.010139 1738739700.0 `1738740144.010138 1738739700.0 `1738740155.010138 1738739700.0 `1738740164.009126 1738739700.0 `1738740174.01015 1738739700.0 `1738740184.010161 1738739700.0 `1738740194.010152 1738739700.0 `1738740225.010136 1738739700.0 `1738740234.009124 1738739700.0 `1738740254.010146 1738739700.0 `1738740264.010149 1738739700.0 `1738740274.010152 1738739700.0 `1738740285.010159 1738739700.0 `1738740295.010141 1738739700.0 `1738740304.009145 1738739700.0 `1738740314.01014 1738739700.0 `1738740324.010136 1738739700.0 `1738740334.010135 1738739700.0 `1738740344.010139 1738739700.0 `1738740354.01014 1738739700.0 `1738740384.010135 1738739700.0 `1738740394.010133 1738739700.0 `1738740404.010135 1738739700.0 `1738740414.010138 1738739700.0 `1738740424.010141 1738739700.0 `1738740435.010146 1738739700.0 `1738740444.009127 1738739700.0 `1738740454.010146 1738739700.0 `1738740464.010145 1738739700.0 `1738740474.010138 1738739700.0 `1738740484.010155 1738739700.0 `1738740494.01014 1738739700.0 `1738740505.010136 1738739700.0 `1738740514.009123 1738739700.0 `1738740544.010151 1738739700.0 `1738740554.010132 1738739700.0 `1738740564.010134 1738739700.0 `1738740575.010143 1738739700.0 `1738740594.010153 1738739700.0 `1738740604.010162 1738740600.0 `1738740614.010141 1738740600.0 `1738740624.010137 1738740600.0 `1738740634.010136 1738740600.0 `1738740645.010142 1738740600.0 `1738740674.010141 1738740600.0 `1738740684.010136 1738740600.0 `1738740704.010136 1738740600.0 `1738740715.010138 1738740600.0 `1738740724.009143 1738740600.0 `1738740734.010152 1738740600.0 `1738740744.010138 1738740600.0 `1738740754.010134 1738740600.0 `1738740764.010138 1738740600.0 `1738740774.010136 1738740600.0 `1738740785.010184 1738740600.0 `1738740794.00914 1738740600.0 `1738740804.010154 1738740600.0 `1738740814.010141 1738740600.0 `1738740844.010149 1738740600.0 `1738740855.010144 1738740600.0 `1738740874.010142 1738740600.0 `1738740884.010146 1738740600.0 `1738740894.010144 1738740600.0 `1738740904.010164 1738740600.0 `1738740914.010139 1738740600.0 `1738740925.010137 1738740600.0 `1738740934.009127 1738740600.0 `1738740944.010142 1738740600.0 `1738740954.010136 1738740600.0 `1738740964.010147 1738740600.0 `1738740974.010136 1738740600.0 `1738740984.010135 1738740600.0 `1738740995.010141 1738740600.0 `1738741034.010136 1738740600.0 `1738741044.010138 1738740600.0 `1738741124.010139 1738740600.0 `1738741205.01014 1738740600.0 `1738741215.010137 1738740600.0 `1738741224.009126 1738740600.0 `1738741234.010154 1738740600.0 `1738741244.010147 1738740600.0 `1738741254.010145 1738740600.0 `1738741264.010157 1738740600.0 `1738741275.010134 1738740600.0 `1738741285.010137 1738740600.0 `1738741294.009124 1738740600.0 `1738741304.010147 1738740600.0 `1738741314.010138 1738740600.0 `1738741324.010139 1738740600.0 `1738741355.010142 1738740600.0 `1738741364.009124 1738740600.0 `1738741374.010147 1738740600.0 `1738741384.010176 1738740600.0 `1738741394.010147 1738740600.0 `1738741404.010144 1738740600.0 `1738741415.010141 1738740600.0 `1738741425.010146 1738740600.0 `1738741434.009133 1738740600.0 `1738741444.010178 1738740600.0 `1738741454.010141 1738740600.0 `1738741464.010143 1738740600.0 `1738741474.010146 1738740600.0 `1738741495.010136 1738740600.0 `1738741504.009141 1738741500.0 `1738741514.010137 1738741500.0 `1738741524.010139 1738741500.0 `1738741534.010143 1738741500.0 `1738741544.010135 1738741500.0 `1738741555.010138 1738741500.0 `1738741565.010155 1738741500.0 `1738741574.009132 1738741500.0 `1738741584.010136 1738741500.0 `1738741594.01015 1738741500.0 `1738741604.010149 1738741500.0 `1738741614.010151 1738741500.0 `1738741625.010154 1738741500.0 `1738741664.010135 1738741500.0 `1738741674.01014 1738741500.0 `1738741684.010141 1738741500.0 `1738741695.010141 1738741500.0 `1738741705.010135 1738741500.0 `1738741714.009133 1738741500.0 `1738741724.010143 1738741500.0 `1738741744.010161 1738741500.0 `1738741754.010137 1738741500.0 `1738741764.010136 1738741500.0 `1738741775.010136 1738741500.0 `1738741784.009127 1738741500.0 `1738741814.010134 1738741500.0 `1738741824.010135 1738741500.0 `1738741845.010135 1738741500.0 `1738741854.009128 1738741500.0 `1738741874.010138 1738741500.0 `1738741884.010136 1738741500.0 `1738741894.010135 1738741500.0 `1738741904.010137 1738741500.0 `1738741915.010147 1738741500.0 `1738741934.010145 1738741500.0 `1738741954.010136 1738741500.0 `1738741974.010137 1738741500.0 `1738741985.010167 1738741500.0 `1738741994.009127 1738741500.0 `1738742004.010147 1738741500.0 `1738742014.010144 1738741500.0 `1738742044.01014 1738741500.0 `1738742055.010133 1738741500.0 `1738742064.009123 1738741500.0 `1738742084.010145 1738741500.0 `1738742094.010135 1738741500.0 `1738742104.01016 1738741500.0 `1738742114.010137 1738741500.0 `1738742134.009124 1738741500.0 `1738742144.010193 1738741500.0 `1738742154.010139 1738741500.0 `1738742164.010142 1738741500.0 `1738742174.009572 1738741500.0 `1738742184.01014 1738741500.0 `1738742194.010138 1738741500.0 `1738742204.010145 1738741500.0 `1738742214.010137 1738741500.0 `1738742244.009132 1738741500.0 `1738742254.010147 1738741500.0 `1738742264.010139 1738741500.0 `1738742274.010135 1738741500.0 `1738742284.010141 1738741500.0 `1738742294.010139 1738741500.0 `1738742305.010135 1738741500.0 `1738742314.009124 1738741500.0 `1738742324.010152 1738741500.0 `1738742334.01014 1738741500.0 `1738742334.01014 1738741500.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.013448715209960938 ***** END SPLIT TIME ***** NUMBER BATCH : 8 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '05022025', 'map_nb_amount': {0: 2, 1: 18, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 359.99998712539673, 'nb_balles_papier': 0.00024, 'begin_time_port': 'image_05022025_07_08_54_10146.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00024 We reject this portfolio because of the condition_save_data : 2025-02-05 07:08:54.010146 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '05022025', 'map_nb_amount': {0: 10, 1: 42, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 890.0000021457672, 'nb_balles_papier': 0.0005600000000000008, 'begin_time_port': 'image_05022025_07_15_04_010135m0.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 We reject this portfolio because of the condition_save_data : 2025-02-05 07:15:04.010135 ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '05022025', 'map_nb_amount': {0: 1, 1: 16, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 399.99997997283936, 'nb_balles_papier': 0.00019, 'begin_time_port': 'image_05022025_07_30_04_010171m0.jpg 1e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00019 We reject this portfolio because of the condition_save_data : 2025-02-05 07:30:04.010171 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '05022025', 'map_nb_amount': {0: 0, 1: 12, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 700.000011920929, 'nb_balles_papier': 0.00014000000000000001, 'begin_time_port': 'image_05022025_08_03_14_10148.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00014000000000000001 We reject this portfolio because of the condition_save_data : 2025-02-05 08:03:14.010148 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '05022025', 'map_nb_amount': {0: 4, 1: 36, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999771118164, 'nb_balles_papier': 0.00042000000000000045, 'begin_time_port': 'image_05022025_08_15_04_010176m0.jpg 1e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00042000000000000045 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '05022025', 'map_nb_amount': {0: 2, 1: 11, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 890.9999737739563, 'nb_balles_papier': 0.00015000000000000001, 'begin_time_port': 'image_05022025_08_30_04_10162.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00015000000000000001 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '05022025', 'map_nb_amount': {0: 8, 1: 43, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 830.0009989738464, 'nb_balles_papier': 0.0005300000000000007, 'begin_time_port': 'image_05022025_08_45_04_9141.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005300000000000007 We have rejected 1 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 3 Still a lot to verify ! Still a lot to verify ! Still a lot to verify ! Qualite : 0.03511178910191624 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`=20247107 AND mptpi.`type`=3726 To do Qualite : 0.03201260177414222 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`=20247621 AND mptpi.`type`=3726 To do Qualite : 0.04669902776954822 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`=20248017 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.6258373260498047 # DISPLAY ALL COLLECTED DATA : {'05022025': {'nb_upload': 384, 'nb_taggue_class': 1100, 'nb_taggue_densite': 1100}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1334852925, 1334852910, 1334852861, 1334852852, 1334852845, 1334852842, 1334852838, 1334852834, 1334852769, 1334852762, 1334852756, 1334852754, 1334852742, 1334852741, 1334852735, 1334852723, 1334852720, 1334852675, 1334852673, 1334852672, 1334852670, 1334852648, 1334852647, 1334852597, 1334852595, 1334852593, 1334852591, 1334852590, 1334852550, 1334852545, 1334852535, 1334852534, 1334852411, 1334852404, 1334852398, 1334852133, 1334852132, 1334852131, 1334852128, 1334852124, 1334852088, 1334852073, 1334852066, 1334852061, 1334851918, 1334851917, 1334851915, 1334851908, 1334851864, 1334851709, 1334851669, 1334851532, 1334851521, 1334851469, 1334850901, 1334850887, 1334850884, 1334850569, 1334850562, 1334850558, 1334850556, 1334850551, 1334850547, 1334850451, 1334850449, 1334850447, 1334850445, 1334850443, 1334850426, 1334850250, 1334850160, 1334850134, 1334850056, 1334850035, 1334849684, 1334849680, 1334849661, 1334849659, 1334849658, 1334849656, 1334849126, 1334849092, 1334849054, 1334848990, 1334848776, 1334848771, 1334848764, 1334848735, 1334848732, 1334848712, 1334848538, 1334848533, 1334848527, 1334848518, 1334848515, 1334848485, 1334848377, 1334848349, 1334848321, 1334848254] Looping around the photos to save general results len do output : 1 /20234215Didn'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, '2549800') ('4876', '20234215', '1334852925', None, None, None, None, None, '2549800') ('4876', None, None, None, None, None, None, None, '2549800') ('4876', '20234215', '1334852910', None, None, None, None, None, '2549800') ('4876', None, None, None, None, None, None, None, '2549800') ('4876', '20234215', '1334852861', None, None, None, None, None, '2549800') ('4876', None, None, None, None, None, None, None, '2549800') ('4876', '20234215', '1334852852', None, None, None, None, None, '2549800') ('4876', None, None, None, None, None, None, None, '2549800') ('4876', '20234215', '1334852845', None, None, None, None, None, '2549800') ('4876', None, None, None, None, None, None, None, '2549800') ('4876', '20234215', '1334852842', None, None, None, None, None, 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'2549800') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.043915510177612305 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.9455602169036865 time spend to save output : 0.04481387138366699 total time spend for step 1 : 0.9903740882873535 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 1.01user 0.38system 0:03.22elapsed 43%CPU (0avgtext+0avgdata 102572maxresident)k 0inputs+112outputs (15major+49218minor)pagefaults 0swaps