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 : 195887 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 : 1810>1000 please execute split_portfolio.py -i 22246422 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2744861'] with mtr_portfolio_ids : ['22246422'] and first list_photo_ids : [] new path : /proc/195887/ 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 : 0.033388376235961914 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Apr 11 14:46:28 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'}] (('00', 15), ('01', 8), ('02', 13), ('03', 15), ('04', 8), ('05', 159), ('06', 222), ('07', 216), ('08', 247), ('09', 110), ('10', 248), ('11', 244), ('12', 54), ('13', 83), ('14', 168)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 1556} 11042025 22246422 Nombre de photos uploadées : 253 / 23040 (1%) 11042025 22246422 Nombre de photos taguées (types de déchets): 1556 / 253 (615%) 11042025 22246422 Nombre de photos taguées (volume) : 1556 / 253 (615%) elapsed_time : load_data_split_time_score 1.6689300537109375e-06 elapsed_time : order_list_meta_photo_and_scores 0.0005757808685302734 ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0102996826171875 elapsed_time : insert_dashboard_record_day_entry 0.023410558700561523 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 elapsed_time : list_photo_by_hashtags 0.00918889045715332 photos_removed : len 0 elapsed_time : load_duplicate_info 0.01154017448425293 ***** BEGIN SPLIT TIME ***** 1744329600.0 `1744366264.010151 1744365600.0 `1744368753.010138 1744368300.0 `1744371164.010135 1744371000.0 `1744371174.010136 1744371000.0 `1744371254.010137 1744371000.0 `1744371374.01014 1744371000.0 `1744371464.010139 1744371000.0 `1744371474.010136 1744371000.0 `1744371494.010141 1744371000.0 `1744371503.009124 1744371000.0 `1744371524.010137 1744371000.0 `1744371544.010148 1744371000.0 `1744371554.010136 1744371000.0 `1744371564.010134 1744371000.0 `1744371674.010139 1744371000.0 `1744371684.010133 1744371000.0 `1744371694.010146 1744371000.0 `1744371704.010136 1744371000.0 `1744371713.009126 1744371000.0 `1744371724.010151 1744371000.0 `1744371734.010137 1744371000.0 `1744371754.010133 1744371000.0 `1744371764.010132 1744371000.0 `1744371804.010139 1744371000.0 `1744371814.010135 1744371000.0 `1744371824.010135 1744371000.0 `1744371834.010141 1744371000.0 `1744371844.010141 1744371000.0 `1744371853.00921 1744371000.0 `1744371874.010138 1744371000.0 `1744371884.010137 1744371000.0 `1744371894.010134 1744371000.0 `1744371904.010149 1744371900.0 `1744371914.010134 1744371900.0 `1744371924.010134 1744371900.0 `1744371944.010136 1744371900.0 `1744371964.01016 1744371900.0 `1744371974.010138 1744371900.0 `1744372003.009132 1744371900.0 `1744372014.010138 1744371900.0 `1744372024.010139 1744371900.0 `1744372084.010137 1744371900.0 `1744372104.010135 1744371900.0 `1744372114.010138 1744371900.0 `1744372124.010143 1744371900.0 `1744372134.010138 1744371900.0 `1744372143.009126 1744371900.0 `1744372153.010139 1744371900.0 `1744372164.010141 1744371900.0 `1744372184.010136 1744371900.0 `1744372194.010138 1744371900.0 `1744372204.010159 1744371900.0 `1744372214.010134 1744371900.0 `1744372223.009124 1744371900.0 `1744372234.010137 1744371900.0 `1744372264.01015 1744371900.0 `1744372274.010134 1744371900.0 `1744372284.010135 1744371900.0 `1744372304.010136 1744371900.0 `1744372324.010152 1744371900.0 `1744372334.010135 1744371900.0 `1744372344.010135 1744371900.0 `1744372354.010134 1744371900.0 `1744372374.010139 1744371900.0 `1744372394.010137 1744371900.0 `1744372404.010135 1744371900.0 `1744372414.010136 1744371900.0 `1744372424.010134 1744371900.0 `1744372464.010133 1744371900.0 `1744372474.010133 1744371900.0 `1744372494.010133 1744371900.0 `1744372513.009126 1744371900.0 `1744372534.010145 1744371900.0 `1744372564.010149 1744371900.0 `1744372574.010137 1744371900.0 `1744372604.010144 1744371900.0 `1744372624.010153 1744371900.0 `1744372634.010137 1744371900.0 `1744372644.010135 1744371900.0 `1744372653.009125 1744371900.0 `1744372674.010137 1744371900.0 `1744372684.010136 1744371900.0 `1744372694.010137 1744371900.0 `1744372704.010133 1744371900.0 `1744372714.010134 1744371900.0 `1744372814.010201 1744372800.0 `1744372824.010139 1744372800.0 `1744372844.010138 1744372800.0 `1744372854.010135 1744372800.0 `1744372864.010155 1744372800.0 `1744372884.010142 1744372800.0 `1744372904.010137 1744372800.0 `1744372924.010155 1744372800.0 `1744372934.010139 1744372800.0 `1744372943.009125 1744372800.0 `1744372954.010144 1744372800.0 `1744372964.01014 1744372800.0 `1744373004.010133 1744372800.0 `1744373014.010135 1744372800.0 `1744373023.009125 1744372800.0 `1744373034.010896 1744372800.0 `1744373043.009151 1744372800.0 `1744373054.010139 1744372800.0 `1744373074.010136 1744372800.0 `1744373094.010138 1744372800.0 `1744373104.010142 1744372800.0 `1744373113.009126 1744372800.0 `1744373124.010142 1744372800.0 `1744373144.010143 1744372800.0 `1744373154.01014 1744372800.0 `1744373164.010167 1744372800.0 `1744373174.010136 1744372800.0 `1744373183.009125 1744372800.0 `1744373194.010136 1744372800.0 `1744373204.010136 1744372800.0 `1744373224.010165 1744372800.0 `1744373234.010137 1744372800.0 `1744373244.010135 1744372800.0 `1744373294.010136 1744372800.0 `1744373314.01014 1744372800.0 `1744373334.010137 1744372800.0 `1744373344.01015 1744372800.0 `1744373364.010134 1744372800.0 `1744373384.010139 1744372800.0 `1744373394.010137 1744372800.0 `1744373403.009135 1744372800.0 `1744373414.010139 1744372800.0 `1744373434.010136 1744372800.0 `1744373454.010138 1744372800.0 `1744373464.010152 1744372800.0 `1744373484.010143 1744372800.0 `1744373494.010144 1744372800.0 `1744373504.01014 1744372800.0 `1744373514.010137 1744372800.0 `1744373543.009124 1744372800.0 `1744373554.010137 1744372800.0 `1744373564.010137 1744372800.0 `1744373574.010134 1744372800.0 `1744373584.010154 1744372800.0 `1744373594.010136 1744372800.0 `1744373604.010135 1744372800.0 `1744373613.009125 1744372800.0 `1744373634.010138 1744372800.0 `1744373644.010136 1744372800.0 `1744373654.010138 1744372800.0 `1744373664.010138 1744372800.0 `1744373674.010138 1744372800.0 `1744373683.009129 1744372800.0 `1744373693.010137 1744372800.0 `1744373704.010143 1744373700.0 `1744373744.010135 1744373700.0 `1744373754.010134 1744373700.0 `1744373763.009132 1744373700.0 `1744373774.010144 1744373700.0 `1744373784.010137 1744373700.0 `1744373794.010141 1744373700.0 `1744373804.010141 1744373700.0 `1744373814.010137 1744373700.0 `1744373824.010153 1744373700.0 `1744373833.009127 1744373700.0 `1744373844.010142 1744373700.0 `1744373854.010138 1744373700.0 `1744373864.010137 1744373700.0 `1744373874.010138 1744373700.0 `1744373884.010159 1744373700.0 `1744373894.010135 1744373700.0 `1744373924.010139 1744373700.0 `1744373934.010134 1744373700.0 `1744373944.010152 1744373700.0 `1744373964.010136 1744373700.0 `1744373973.009124 1744373700.0 `1744373984.010136 1744373700.0 `1744373994.010138 1744373700.0 `1744374004.010144 1744373700.0 `1744374014.010134 1744373700.0 `1744374024.010135 1744373700.0 `1744374034.010136 1744373700.0 `1744374044.010138 1744373700.0 `1744374053.009126 1744373700.0 `1744374064.010138 1744373700.0 `1744374074.010136 1744373700.0 `1744374084.010133 1744373700.0 `1744374114.010135 1744373700.0 `1744374123.009127 1744373700.0 `1744374134.010139 1744373700.0 `1744374154.010138 1744373700.0 `1744374164.010137 1744373700.0 `1744374244.010138 1744373700.0 `1744374324.010135 1744373700.0 `1744374334.010138 1744373700.0 `1744374343.009127 1744373700.0 `1744374354.010138 1744373700.0 `1744374364.010143 1744373700.0 `1744374374.010137 1744373700.0 `1744374384.010137 1744373700.0 `1744374404.010137 1744373700.0 `1744374413.009127 1744373700.0 `1744374424.01015 1744373700.0 `1744374464.010135 1744373700.0 `1744374474.010135 1744373700.0 `1744374483.009141 1744373700.0 `1744374494.010138 1744373700.0 `1744374504.01014 1744373700.0 `1744374514.010148 1744373700.0 `1744374524.010143 1744373700.0 `1744374534.010139 1744373700.0 `1744374734.01014 1744374600.0 `1744374744.010139 1744374600.0 `1744374794.010139 1744374600.0 `1744374934.010144 1744374600.0 `1744374944.010139 1744374600.0 `1744374983.009124 1744374600.0 `1744374994.010138 1744374600.0 `1744375004.010141 1744374600.0 `1744375014.010139 1744374600.0 `1744375034.010137 1744374600.0 `1744375044.010135 1744374600.0 `1744375053.009129 1744374600.0 `1744375064.01014 1744374600.0 `1744375074.010137 1744374600.0 `1744375094.010138 1744374600.0 `1744375104.010144 1744374600.0 `1744375114.010137 1744374600.0 `1744375124.010135 1744374600.0 `1744375144.010157 1744374600.0 `1744375154.01014 1744374600.0 `1744375164.01014 1744374600.0 `1744375194.010137 1744374600.0 `1744375203.00915 1744374600.0 `1744375214.010136 1744374600.0 `1744375224.010133 1744374600.0 `1744375234.010141 1744374600.0 `1744375244.010139 1744374600.0 `1744375254.010138 1744374600.0 `1744375264.010139 1744374600.0 `1744375273.009126 1744374600.0 `1744375284.010142 1744374600.0 `1744375294.010137 1744374600.0 `1744375304.010136 1744374600.0 `1744375314.010136 1744374600.0 `1744375324.010152 1744374600.0 `1744375334.010139 1744374600.0 `1744375343.009124 1744374600.0 `1744375354.010136 1744374600.0 `1744375394.010133 1744374600.0 `1744375404.010135 1744374600.0 `1744375414.010134 1744374600.0 `1744375423.009127 1744374600.0 `1744375434.010139 1744374600.0 `1744375444.010145 1744374600.0 `1744375454.010135 1744374600.0 `1744375464.010138 1744374600.0 `1744375474.010137 1744374600.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.01330423355102539 ***** END SPLIT TIME ***** NUMBER BATCH : 7 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 ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 0, 1: 10, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 729.9999990463257, 'nb_balles_papier': 0.00018, 'begin_time_port': 'image_11042025_13_32_44_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) : 0.00018 We reject this portfolio because of the condition_save_data : 2025-04-11 13:32:44.010135 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '11042025', 'map_nb_amount': {0: 0, 1: 21, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 809.9999849796295, 'nb_balles_papier': 0.00027000000000000006, 'begin_time_port': 'image_11042025_13_45_04_010149m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00027000000000000006 We reject this portfolio because of the condition_save_data : 2025-04-11 13:45:04.010149 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '11042025', 'map_nb_amount': {0: 1, 1: 11, 2: 9, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 878.9999361038208, 'nb_balles_papier': 0.00021, 'begin_time_port': 'image_11042025_14_00_14_10201.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00021 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '11042025', 'map_nb_amount': {0: 2, 1: 27, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 829.9999959468842, 'nb_balles_papier': 0.00034000000000000024, 'begin_time_port': 'image_11042025_14_15_04_010143m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00034000000000000024 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 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '11042025', 'map_nb_amount': {0: 1, 1: 3, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 739.999997138977, 'nb_balles_papier': 4e-05, 'begin_time_port': 'image_11042025_14_32_14_010140m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 4e-05 We have rejected 2 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 ! We need to add photos : {1351689473, 1351689668, 1351689607, 1351689167, 1351689137, 1351688978, 1351689112, 1351689529, 1351689083, 1351689404} Still a lot to verify ! Qualite : 0.03861512163307405 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`=22277278 AND mptpi.`type`=3726 To do Qualite : 0.06743925810814043 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`=22277722 AND mptpi.`type`=3726 To do Qualite : 0.0406982062782902 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`=22278478 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 3.473759174346924 # DISPLAY ALL COLLECTED DATA : {'11042025': {'nb_upload': 253, 'nb_taggue_class': 1556, 'nb_taggue_densite': 1556}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1351689668, 1351689607, 1351689529, 1351689473, 1351689404, 1351689167, 1351689137, 1351689112, 1351689083, 1351688978, 1351687961, 1351687905, 1351687852, 1351687500, 1351687217, 1351687135, 1351687111, 1351687080, 1351687073, 1351687016, 1351686685, 1351686643, 1351686594, 1351686548, 1351686501, 1351686426, 1351685860, 1351685818, 1351685780, 1351685729, 1351685481, 1351685476, 1351685470, 1351685465, 1351685356, 1351685346, 1351685340, 1351685337, 1351685332, 1351685227, 1351685217, 1351685213, 1351685208, 1351685105, 1351685083, 1351684368, 1351684076, 1351684049, 1351683007, 1351682980, 1351682955, 1351682933, 1351682924, 1351682871, 1351682620, 1351682539, 1351682480, 1351681739, 1351681693, 1351681686, 1351681640, 1351681615, 1351681415, 1351681387, 1351681311, 1351681224, 1351680183, 1351679376, 1351679352, 1351679321, 1351679317, 1351679283, 1351679279, 1351679276, 1351679256, 1351679118, 1351679065, 1351679035, 1351679007, 1351678981, 1351678955, 1351678687, 1351678661, 1351678635, 1351678616, 1351678595, 1351678384, 1351678310, 1351678296, 1351678288, 1351678160, 1351678155, 1351678148, 1351678144, 1351678131, 1351678104, 1351677971, 1351677942, 1351677910, 1351677876] Looping around the photos to save general results len do output : 1 /22246422Didn'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, '2744861') ('4876', '22246422', '1351689668', None, None, None, None, None, '2744861') ('4876', None, None, None, None, None, None, None, '2744861') ('4876', '22246422', '1351689607', None, None, None, None, None, '2744861') ('4876', None, None, None, None, None, None, None, '2744861') ('4876', '22246422', '1351689529', None, None, None, None, None, '2744861') ('4876', None, None, None, None, None, None, None, '2744861') ('4876', '22246422', '1351689473', None, None, None, None, None, '2744861') ('4876', None, None, None, None, None, None, None, '2744861') ('4876', '22246422', '1351689404', None, None, None, None, None, '2744861') ('4876', None, None, None, None, None, None, None, '2744861') ('4876', '22246422', '1351689167', None, None, None, None, None, 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'2744861') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.026598453521728516 save_final save missing photos in datou_result : time spend for datou_step_exec : 3.7755517959594727 time spend to save output : 0.027345657348632812 total time spend for step 1 : 3.8028974533081055 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 1.10user 0.46system 0:06.32elapsed 24%CPU (0avgtext+0avgdata 102512maxresident)k 0inputs+104outputs (17major+49218minor)pagefaults 0swaps