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 : 1156275 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 : 1149>1000 please execute split_portfolio.py -i 21928783 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2713226'] with mtr_portfolio_ids : ['21928783'] and first list_photo_ids : [] new path : /proc/1156275/ 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 : 0.026090145111083984 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Tue Apr 1 14:50:29 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('00', 14), ('01', 12), ('02', 20), ('03', 25), ('04', 8), ('05', 222), ('06', 246), ('07', 246), ('08', 249), ('09', 5), ('10', 5), ('11', 6), ('12', 3), ('13', 1), ('14', 87)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 1054} 01042025 21928783 Nombre de photos uploadées : 89 / 23040 (0%) 01042025 21928783 Nombre de photos taguées (types de déchets): 1054 / 89 (1184%) 01042025 21928783 Nombre de photos taguées (volume) : 1054 / 89 (1184%) elapsed_time : load_data_split_time_score 3.0994415283203125e-06 elapsed_time : order_list_meta_photo_and_scores 0.0004150867462158203 ?????????????? elapsed_time : fill_and_build_computed_from_old_data 0.005469560623168945 elapsed_time : insert_dashboard_record_day_entry 0.0231473445892334 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 elapsed_time : list_photo_by_hashtags 0.011155843734741211 photos_removed : len 0 elapsed_time : load_duplicate_info 0.010581016540527344 ***** BEGIN SPLIT TIME ***** True 1743465600.0 `1743498994.009132 1743498900.0 `1743508384.010151 1743507900.0 `1743508874.009125 1743508800.0 `1743508884.010135 1743508800.0 `1743509534.010136 1743508800.0 `1743509564.010136 1743508800.0 `1743509574.010134 1743508800.0 `1743509604.010165 1743508800.0 `1743509614.010142 1743508800.0 `1743509624.01014 1743508800.0 `1743509644.010147 1743508800.0 `1743509655.010138 1743508800.0 `1743509664.009126 1743508800.0 `1743509674.010142 1743508800.0 `1743509684.010141 1743508800.0 `1743509694.010139 1743508800.0 `1743509704.010151 1743509700.0 `1743509714.010135 1743509700.0 `1743509744.010134 1743509700.0 `1743509754.010134 1743509700.0 `1743509764.010162 1743509700.0 `1743509774.010135 1743509700.0 `1743509794.010134 1743509700.0 `1743509805.010138 1743509700.0 `1743509814.009126 1743509700.0 `1743509824.010151 1743509700.0 `1743509834.010136 1743509700.0 `1743509844.010136 1743509700.0 `1743509864.010137 1743509700.0 `1743509884.009132 1743509700.0 `1743509894.010135 1743509700.0 `1743509904.010133 1743509700.0 `1743509934.010136 1743509700.0 `1743509945.010184 1743509700.0 `1743509954.009124 1743509700.0 `1743509964.010136 1743509700.0 `1743509974.010136 1743509700.0 `1743509984.010136 1743509700.0 `1743509994.010137 1743509700.0 `1743510004.010148 1743509700.0 `1743510015.010138 1743509700.0 `1743510024.009122 1743509700.0 `1743510034.010135 1743509700.0 `1743510044.010133 1743509700.0 `1743510054.010135 1743509700.0 `1743510064.010158 1743509700.0 `1743510104.009126 1743509700.0 `1743510114.010136 1743509700.0 `1743510134.010135 1743509700.0 `1743510154.010146 1743509700.0 `1743510165.010136 1743509700.0 `1743510174.009125 1743509700.0 `1743510194.010136 1743509700.0 `1743510204.010133 1743509700.0 `1743510544.010157 1743509700.0 `1743510574.010135 1743509700.0 `1743510604.00914 1743510600.0 `1743510614.010137 1743510600.0 `1743510624.010135 1743510600.0 `1743510674.00913 1743510600.0 `1743510684.010135 1743510600.0 `1743510704.010143 1743510600.0 `1743510714.010147 1743510600.0 `1743510735.010148 1743510600.0 `1743510754.010136 1743510600.0 `1743510764.010138 1743510600.0 `1743510774.010139 1743510600.0 `1743510794.010137 1743510600.0 `1743510805.010136 1743510600.0 `1743510814.009125 1743510600.0 `1743510824.010134 1743510600.0 `1743511144.010147 1743510600.0 `1743511154.010143 1743510600.0 `1743511574.010136 1743511500.0 `1743511584.010134 1743511500.0 `1743511595.010142 1743511500.0 `1743511604.009126 1743511500.0 `1743511614.010139 1743511500.0 `1743511634.010134 1743511500.0 `1743511644.010136 1743511500.0 `1743511654.010135 1743511500.0 `1743511664.010136 1743511500.0 `1743511675.010137 1743511500.0 `1743511684.009133 1743511500.0 `1743511694.010138 1743511500.0 `1743511704.010138 1743511500.0 `1743511764.010137 1743511500.0 `1743511774.010142 1743511500.0 `1743511784.010139 1743511500.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.008182048797607422 ***** END SPLIT TIME ***** NUMBER BATCH : 6 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] result_one_balle_Type_JRM:{'day': '01042025', 'map_nb_amount': {0: 0, 1: 14, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 820.0010139942169, 'nb_balles_papier': 0.00014000000000000001, 'begin_time_port': 'image_01042025_14_01_14_009125m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00014000000000000001 result_one_balle_Type_JRM:{'day': '01042025', 'map_nb_amount': {0: 1, 1: 31, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 869.9999840259552, 'nb_balles_papier': 0.0004000000000000004, 'begin_time_port': 'image_01042025_14_15_04_010151m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004000000000000004 result_one_balle_Type_JRM:{'day': '01042025', 'map_nb_amount': {0: 1, 1: 14, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 550.0010030269623, 'nb_balles_papier': 0.00017, 'begin_time_port': 'image_01042025_14_30_04_009140m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00017 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '01042025', 'map_nb_amount': {0: 0, 1: 4, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 210.00000309944153, 'nb_balles_papier': 4e-05, 'begin_time_port': 'image_01042025_14_46_14_10136.jpg'} 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 : 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 : []