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 : 3278614 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 : 2388>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 : ['2714865'] with mtr_portfolio_ids : ['21928783'] and first list_photo_ids : [] new path : /proc/3278614/ 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 : 2.6375625133514404 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 23:40:32 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', 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', 108), ('15', 158), ('16', 223), ('17', 132), ('18', 255), ('19', 235), ('20', 168), ('21', 32), ('22', 6), ('23', 9)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 2261} 01042025 21928783 Nombre de photos uploadées : 22 / 23040 (0%) 01042025 21928783 Nombre de photos taguées (types de déchets): 2261 / 22 (10277%) 01042025 21928783 Nombre de photos taguées (volume) : 2261 / 22 (10277%) Catched exception ! Connect or reconnect ! elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0007843971252441406 ????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0009233951568603516 elapsed_time : insert_dashboard_record_day_entry 0.030619382858276367 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 elapsed_time : list_photo_by_hashtags 0.005257129669189453 photos_removed : len 0 elapsed_time : load_duplicate_info 0.008774280548095703 ***** BEGIN SPLIT TIME ***** True 1743465600.0 `1743536054.009123 1743535800.0 `1743536424.010135 1743535800.0 `1743536944.010149 1743536700.0 `1743537094.01015 1743536700.0 `1743537164.010141 1743536700.0 `1743537374.010142 1743536700.0 `1743537494.01014 1743536700.0 `1743538063.010135 1743537600.0 `1743538223.010139 1743537600.0 `1743538233.010142 1743537600.0 `1743538614.010137 1743538500.0 `1743539303.010138 1743538500.0 `1743539494.010146 1743539400.0 `1743541324.01017 1743541200.0 `1743541334.010135 1743541200.0 `1743541524.010143 1743541200.0 `1743541884.010142 1743541200.0 `1743542194.010141 1743542100.0 `1743542314.009603 1743542100.0 `1743542434.010144 1743542100.0 `1743542984.010142 1743542100.0 `1743543534.010139 1743543000.0 list printed: [[0, 1], [2, 3, 4, 5, 6], [7, 8, 9], [10, 11], [12], [13, 14, 15, 16], [17, 18, 19, 20], [21]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.004989147186279297 ***** 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 22 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.028113842010498047 # DISPLAY ALL COLLECTED DATA : {'01042025': {'nb_upload': 22, 'nb_taggue_class': 2261, 'nb_taggue_densite': 2261}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1349407338, 1349406813, 1349405600, 1349400890, 1349399501, 1349397590, 1349394103, 1349391875, 1349389321, 1349389260, 1349368791, 1349367699, 1349362921, 1349358363, 1349358256, 1349355732, 1349349657, 1349349465, 1349349019, 1349348735, 1349348645, 1349348165, 1349347839, 1349347837, 1349347696, 1349346967, 1349346511, 1349346504, 1349346498, 1349346418, 1349346042, 1349345963, 1349345820, 1349345816, 1349345813, 1349345773, 1349345769, 1349345739, 1349345735, 1349345732, 1349345556, 1349345553, 1349345324, 1349345318, 1349345313, 1349345308, 1349344258, 1349344245, 1349341405, 1349340299, 1349339753, 1349339747, 1349339741, 1349339737, 1349339702, 1349339699, 1349339674, 1349339645, 1349339618, 1349339589, 1349339514, 1349339512, 1349339509, 1349339468, 1349339466, 1349339464, 1349339461, 1349339454, 1349339409, 1349339406, 1349339402, 1349339399, 1349339339, 1349339336, 1349339333, 1349339330, 1349339328, 1349339260, 1349339253, 1349339226, 1349339221, 1349339164, 1349339161, 1349339157, 1349339149, 1349339054, 1349338900, 1349338899, 1349338895, 1349338889, 1349338884, 1349338880, 1349338734, 1349338730, 1349338694, 1349338684, 1349338680, 1349338615, 1349338613, 1349338610] Looping around the photos to save general results len do output : 1 /21928783Didn'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, '2714865') ('4876', '21928783', '1349407338', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349406813', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349405600', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349400890', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349399501', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349397590', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349394103', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349391875', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349389321', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349389260', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349368791', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349367699', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349362921', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349358363', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349358256', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349355732', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349349657', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349349465', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349349019', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349348735', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349348645', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349348165', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349347839', None, None, None, None, None, 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None, None, '2714865') ('4876', '21928783', '1349339461', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339454', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339409', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339406', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339402', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339399', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339339', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339336', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339333', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339330', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339328', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339260', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339253', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339226', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339221', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339164', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339161', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339157', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339149', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349339054', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338900', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338899', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338895', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338889', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338884', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338880', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338734', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338730', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338694', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338684', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338680', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338615', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338613', None, None, None, None, None, '2714865') ('4876', None, None, None, None, None, None, None, '2714865') ('4876', '21928783', '1349338610', None, None, None, None, None, '2714865') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.15098881721496582 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.5039544105529785 time spend to save output : 0.15177083015441895 total time spend for step 1 : 0.6557252407073975 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 1.55user 0.86system 0:07.21elapsed 33%CPU (0avgtext+0avgdata 101640maxresident)k 24inputs+56outputs (11major+54831minor)pagefaults 0swaps