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 : 2667758 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 : ['2535954'] with mtr_portfolio_ids : ['20128731'] and first list_photo_ids : [] new path : /proc/2667758/ 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 , we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.017340421676635742 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Sat Feb 1 02:16:29 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'}] (('01', 2), ('00', 62)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 01022025 20128731 Nombre de photos uploadées : 64 / 23040 (0%) 01022025 20128731 Nombre de photos taguées (types de déchets): 0 / 64 (0%) 01022025 20128731 Nombre de photos taguées (volume) : 0 / 64 (0%) elapsed_time : load_data_split_time_score 2.1457672119140625e-06 elapsed_time : order_list_meta_photo_and_scores 6.198883056640625e-06 ???????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0029439926147460938 elapsed_time : insert_dashboard_record_day_entry 0.03233456611633301 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 elapsed_time : list_photo_by_hashtags 0.001424551010131836 photos_removed : len 0 elapsed_time : load_duplicate_info 0.010147571563720703 ***** BEGIN SPLIT TIME ***** True 1738368000.0 `1738364404.010139 1738364400.0 `1738364414.010156 1738364400.0 `1738364454.010136 1738364400.0 `1738364464.010139 1738364400.0 `1738364653.009134 1738364400.0 `1738364663.010137 1738364400.0 `1738364674.010202 1738364400.0 `1738364684.010242 1738364400.0 `1738364704.010151 1738364400.0 `1738364713.009127 1738364400.0 `1738364723.010152 1738364400.0 `1738364734.010139 1738364400.0 `1738364744.010147 1738364400.0 `1738364783.009126 1738364400.0 `1738364793.010147 1738364400.0 `1738364803.010139 1738364400.0 `1738364814.010136 1738364400.0 `1738365204.01014 1738364400.0 `1738365764.010307 1738365300.0 `1738365774.010141 1738365300.0 `1738365794.010143 1738365300.0 `1738365804.010141 1738365300.0 `1738365844.010137 1738365300.0 `1738365854.010137 1738365300.0 `1738365864.010149 1738365300.0 `1738365874.010148 1738365300.0 `1738365883.009129 1738365300.0 `1738365893.010139 1738365300.0 `1738365914.010149 1738365300.0 `1738365924.010136 1738365300.0 `1738366264.010135 1738366200.0 `1738366274.010136 1738366200.0 `1738366284.010137 1738366200.0 `1738366293.00913 1738366200.0 `1738366304.010191 1738366200.0 `1738366314.01014 1738366200.0 `1738366373.010155 1738366200.0 `1738366384.010141 1738366200.0 `1738366394.010162 1738366200.0 `1738366414.010146 1738366200.0 `1738366423.009133 1738366200.0 `1738366433.010136 1738366200.0 `1738366444.010142 1738366200.0 `1738366454.01015 1738366200.0 `1738366464.01014 1738366200.0 `1738366474.010152 1738366200.0 `1738366484.010134 1738366200.0 `1738366493.009124 1738366200.0 `1738366503.010152 1738366200.0 `1738366514.010138 1738366200.0 `1738366554.010132 1738366200.0 `1738366564.010136 1738366200.0 `1738366973.009123 1738366200.0 `1738366984.010264 1738366200.0 `1738366994.010139 1738366200.0 `1738367004.010137 1738366200.0 `1738367024.01014 1738366200.0 `1738367034.010136 1738366200.0 `1738367054.010245 1738366200.0 `1738367074.010168 1738366200.0 `1738367103.009126 1738367100.0 `1738367653.009178 1738367100.0 `1738368224.010135 1738368000.0 `1738368774.010134 1738368000.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.006650209426879883 ***** END SPLIT TIME ***** NUMBER BATCH : 5 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 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': '01022025', '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': 800.0000009536743, 'nb_balles_papier': 0, 'begin_time_port': 'image_01022025_00_00_04_10139.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We reject this portfolio because of the condition_save_data : 2025-02-01 00:00:04.010139 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '01022025', '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': 159.9998288154602, 'nb_balles_papier': 0, 'begin_time_port': 'image_01022025_00_22_44_10307.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We reject this portfolio because of the condition_save_data : 2025-02-01 00:22:44.010307 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '01022025', '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': 810.0000331401825, 'nb_balles_papier': 0, 'begin_time_port': 'image_01022025_00_31_04_10135.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We reject this portfolio because of the condition_save_data : 2025-02-01 00:31:04.010135 We have rejected 4 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.03373122215270996 # DISPLAY ALL COLLECTED DATA : {'01022025': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1333551509, 1333551507, 1333551505, 1333551504, 1333551502, 1333551501, 1333551435, 1333551299, 1333551172, 1333551168, 1333551117, 1333551113, 1333551081, 1333551070, 1333551069, 1333551068, 1333551066, 1333551064, 1333550978, 1333550888, 1333550838, 1333550818, 1333550791, 1333550788, 1333550723, 1333550719, 1333550694, 1333550692, 1333550645, 1333550642, 1333550291, 1333550288, 1333550285, 1333550283, 1333550271, 1333550270, 1333550266, 1333550261, 1333550254, 1333550248, 1333550243, 1333550239, 1333549055, 1333548879, 1333548592, 1333548573, 1333548562, 1333548506, 1333548345, 1333548325, 1333548310, 1333548307, 1333548304, 1333548303, 1333548225, 1333548161, 1333548093, 1333548027, 1333547957, 1333547906, 1333545599, 1333545559, 1333545555, 1333545491] Looping around the photos to save general results len do output : 1 /20128731Didn'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, '2535954') ('4876', '20128731', '1333551509', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551507', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551505', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551504', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551502', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551501', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551435', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551299', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551172', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551168', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551117', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551113', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551081', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551070', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551069', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551068', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551066', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333551064', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550978', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550888', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550838', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550818', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550791', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550788', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550723', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550719', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550694', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550692', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550645', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550642', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550291', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550288', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550285', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550283', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550271', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550270', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550266', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550261', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550254', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550248', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550243', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333550239', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333549055', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548879', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548592', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548573', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548562', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548506', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548345', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548325', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548310', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548307', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548304', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548303', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548225', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548161', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548093', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333548027', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333547957', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333547906', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333545599', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333545559', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333545555', None, None, None, None, None, '2535954') ('4876', None, None, None, None, None, None, None, '2535954') ('4876', '20128731', '1333545491', None, None, None, None, None, '2535954') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 65 time used for this insertion : 0.022216796875 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.16286396980285645 time spend to save output : 0.022783994674682617 total time spend for step 1 : 0.18564796447753906 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 1.02user 0.47system 0:04.62elapsed 32%CPU (0avgtext+0avgdata 99364maxresident)k 0inputs+48outputs (1major+48452minor)pagefaults 0swaps