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 : 2079987 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 : ['2568149'] with mtr_portfolio_ids : ['20353393'] and first list_photo_ids : [] new path : /proc/2079987/ 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 : 0.18448948860168457 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Sat Feb 8 04:12:32 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', 12), ('01', 4), ('02', 5), ('03', 15), ('04', 3)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 12} 08022025 20353393 Nombre de photos uploadées : 24 / 23040 (0%) 08022025 20353393 Nombre de photos taguées (types de déchets): 12 / 24 (50%) 08022025 20353393 Nombre de photos taguées (volume) : 12 / 24 (50%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 1.5974044799804688e-05 ?????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0010559558868408203 elapsed_time : insert_dashboard_record_day_entry 0.027393341064453125 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 elapsed_time : list_photo_by_hashtags 0.004878520965576172 photos_removed : len 0 elapsed_time : load_duplicate_info 0.008727788925170898 ***** BEGIN SPLIT TIME ***** True 1738972800.0 `1738975864.0102 1738975500.0 `1738978383.009138 1738978200.0 `1738978933.009131 1738978200.0 `1738979483.00913 1738979100.0 `1738979904.010138 1738979100.0 `1738979934.010145 1738979100.0 `1738980044.010141 1738980000.0 `1738980174.00913 1738980000.0 `1738980834.010137 1738980000.0 `1738980844.010154 1738980000.0 `1738981404.009127 1738980900.0 `1738981724.010148 1738980900.0 `1738981834.010147 1738981800.0 `1738981844.010139 1738981800.0 `1738982304.010136 1738981800.0 `1738982344.010164 1738981800.0 `1738982804.010136 1738982700.0 `1738983054.010147 1738982700.0 `1738983124.009125 1738982700.0 `1738983144.010139 1738982700.0 `1738983304.010148 1738982700.0 `1738983753.009134 1738983600.0 `1738983874.010144 1738983600.0 `1738984144.010154 1738983600.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.005127668380737305 ***** 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'] We have rejected 24 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.028956890106201172 # DISPLAY ALL COLLECTED DATA : {'08022025': {'nb_upload': 24, 'nb_taggue_class': 12, 'nb_taggue_densite': 12}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1335697680, 1335697165, 1335696861, 1335696137, 1335694005, 1335693772, 1335693771, 1335693745, 1335692902, 1335691770, 1335691755, 1335688796, 1335688749, 1335687968, 1335686781, 1335684728, 1335684701, 1335682381, 1335682029, 1335681949, 1335681947, 1335680931, 1335678829, 1335676811, 1335670673, 1335667736, 1335666164, 1335657353, 1335656712, 1335656060, 1335655434, 1335655392, 1335654867, 1335654865, 1335649560, 1335647312, 1335644693, 1335643843, 1335643828] Looping around the photos to save general results len do output : 1 /20353393Didn'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, '2568149') ('4876', '20353393', '1335697680', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335697165', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335696861', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335696137', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335694005', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335693772', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335693771', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335693745', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335692902', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335691770', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335691755', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335688796', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335688749', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335687968', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335686781', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335684728', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335684701', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335682381', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335682029', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335681949', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335681947', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335680931', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335678829', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335676811', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335670673', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335667736', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335666164', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335657353', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335656712', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335656060', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335655434', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335655392', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335654867', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335654865', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335649560', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335647312', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335644693', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335643843', None, None, None, None, None, '2568149') ('4876', None, None, None, None, None, None, None, '2568149') ('4876', '20353393', '1335643828', None, None, None, None, None, '2568149') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 40 time used for this insertion : 0.025415897369384766 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.16756939888000488 time spend to save output : 0.025865554809570312 total time spend for step 1 : 0.1934349536895752 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 1.40user 1.84system 0:06.74elapsed 48%CPU (0avgtext+0avgdata 97652maxresident)k 7416inputs+32outputs (331major+48369minor)pagefaults 0swaps