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 : 4086638 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 : ['2582432'] with mtr_portfolio_ids : ['20493659'] and first list_photo_ids : [] new path : /proc/4086638/ 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 : 0.08103346824645996 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Feb 13 13:54:29 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', 8), ('01', 6), ('02', 9), ('03', 4), ('04', 6), ('05', 210), ('06', 260), ('07', 254), ('08', 184), ('09', 3), ('10', 5), ('11', 5), ('12', 2), ('13', 12)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 893} 13022025 20493659 Nombre de photos uploadées : 16 / 23040 (0%) 13022025 20493659 Nombre de photos taguées (types de déchets): 893 / 16 (5581%) 13022025 20493659 Nombre de photos taguées (volume) : 893 / 16 (5581%) elapsed_time : load_data_split_time_score 2.1457672119140625e-06 elapsed_time : order_list_meta_photo_and_scores 0.0003764629364013672 ?????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0008974075317382812 elapsed_time : insert_dashboard_record_day_entry 0.021708250045776367 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 0.005188703536987305 photos_removed : len 0 elapsed_time : load_duplicate_info 0.008433818817138672 ***** BEGIN SPLIT TIME ***** True 1739404800.0 `1739433594.010137 1739432700.0 `1739444204.010141 1739443500.0 `1739446925.010146 1739446200.0 `1739447475.010136 1739447100.0 `1739449144.010136 1739448900.0 `1739449694.01014 1739448900.0 `1739450244.010136 1739449800.0 `1739450634.010135 1739449800.0 `1739450644.010141 1739449800.0 `1739450694.010137 1739449800.0 `1739450794.010145 1739450700.0 `1739450823.009145 1739450700.0 `1739450864.01014 1739450700.0 `1739451174.01015 1739450700.0 `1739451184.010153 1739450700.0 `1739451204.010144 1739450700.0 list printed: [[0], [1], [2], [3], [4, 5], [6, 7, 8, 9], [10, 11, 12, 13, 14, 15]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.005533933639526367 ***** 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'] We have rejected 16 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.029523611068725586 # DISPLAY ALL COLLECTED DATA : {'13022025': {'nb_upload': 16, 'nb_taggue_class': 893, 'nb_taggue_densite': 893}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1337364611, 1337364606, 1337364599, 1337364547, 1337363059, 1337363058, 1337363025, 1337362946, 1337362944, 1337362904, 1337360929, 1337357185, 1337355069, 1337349799, 1337348384, 1337341027, 1337338353, 1337337066, 1337333639, 1337332555, 1337324257, 1337322630, 1337320518, 1337318695, 1337317371, 1337306450, 1337305770, 1337304788, 1337304302, 1337304298, 1337304293, 1337304289, 1337304278, 1337304252, 1337304248, 1337304193, 1337304182, 1337304176, 1337304075, 1337304065, 1337304063, 1337304039, 1337303986, 1337303980, 1337303977, 1337303976, 1337303974, 1337303973, 1337303929, 1337303925, 1337303920, 1337303919, 1337303820, 1337303818, 1337303816, 1337303815, 1337303813, 1337303811, 1337303586, 1337303547, 1337303545, 1337303543, 1337303523, 1337303521, 1337303519, 1337303517, 1337303515, 1337303514, 1337303483, 1337303471, 1337303469, 1337303456, 1337303454, 1337303453, 1337303237, 1337303218, 1337303087, 1337301494, 1337301383, 1337301382, 1337301355, 1337301353, 1337301351, 1337301350, 1337301319, 1337301317, 1337301316, 1337301291, 1337301269, 1337301267, 1337301266, 1337301054, 1337301052, 1337301051, 1337301023, 1337301018, 1337301016, 1337300942, 1337300897, 1337300889] Looping around the photos to save general results len do output : 1 /20493659Didn'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, '2582432') ('4876', '20493659', '1337364611', None, None, None, None, None, '2582432') ('4876', None, None, None, None, 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('4876', '20493659', '1337362944', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337362904', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337360929', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337357185', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337355069', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337349799', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337348384', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337341027', 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'20493659', '1337303453', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337303237', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337303218', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337303087', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301494', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301383', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301382', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301355', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301353', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301351', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301350', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301319', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301317', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301316', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301291', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301269', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301267', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301266', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301054', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301052', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301051', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301023', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301018', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337301016', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337300942', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337300897', None, None, None, None, None, '2582432') ('4876', None, None, None, None, None, None, None, '2582432') ('4876', '20493659', '1337300889', None, None, None, None, None, '2582432') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.024601221084594727 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.21642446517944336 time spend to save output : 0.025516510009765625 total time spend for step 1 : 0.24194097518920898 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 1.22user 0.67system 0:04.09elapsed 46%CPU (0avgtext+0avgdata 99520maxresident)k 24inputs+48outputs (4major+48686minor)pagefaults 0swaps