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 : 3308589 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 : 1209>1000 please execute split_portfolio.py -i 22024890 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2721582'] with mtr_portfolio_ids : ['22024890'] and first list_photo_ids : [] new path : /proc/3308589/ 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 : 0.024669647216796875 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Tue Apr 15 13:32:26 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'}] (('09', 29), ('08', 306), ('07', 279), ('10', 5), ('06', 295), ('05', 244), ('11', 3), ('04', 8), ('03', 7), ('02', 7), ('01', 6), ('00', 15), ('12', 1), ('13', 4)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 75} 15042025 22024890 Nombre de photos uploadées : 5 / 23040 (0%) 15042025 22024890 Nombre de photos taguées (types de déchets): 75 / 5 (1500%) 15042025 22024890 Nombre de photos taguées (volume) : 75 / 5 (1500%) elapsed_time : load_data_split_time_score 1.430511474609375e-06 elapsed_time : order_list_meta_photo_and_scores 3.409385681152344e-05 ??? elapsed_time : fill_and_build_computed_from_old_data 0.00037097930908203125 elapsed_time : insert_dashboard_record_day_entry 0.027477741241455078 Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.004266500473022461 photos_removed : len 0 elapsed_time : load_duplicate_info 0.012224674224853516 ***** BEGIN SPLIT TIME ***** 1744675200.0 `1744714384.010144 1744713900.0 `1744714954.010134 1744714800.0 `1744714954.010134 1744714800.0 `1744715504.010135 1744714800.0 `1744716053.009125 1744715700.0 list printed: [[0], [1, 2, 3], [4]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.0046389102935791016 ***** END SPLIT TIME ***** NUMBER BATCH : 3 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] We have rejected 5 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.021899700164794922 # DISPLAY ALL COLLECTED DATA : {'15042025': {'nb_upload': 5, 'nb_taggue_class': 75, 'nb_taggue_densite': 75}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1349884140, 1349882004, 1349877852, 1349877850, 1349876521, 1349854801, 1349854792, 1349854782, 1349854778, 1349854729, 1349854710, 1349854511, 1349854495, 1349854468, 1349854460, 1349854404, 1349854390, 1349854380, 1349854370, 1349854362, 1349854357, 1349854336, 1349854312, 1349854305, 1349854297, 1349854290, 1349854284, 1349854263, 1349854259, 1349854253, 1349854247, 1349854243, 1349854238, 1349854216, 1349854211, 1349854205, 1349854198, 1349854190, 1349854186, 1349854168, 1349854164, 1349854159, 1349854154, 1349854149, 1349854142, 1349854124, 1349854116, 1349854112, 1349854107, 1349854100, 1349854096, 1349854083, 1349854078, 1349854071, 1349854062, 1349854056, 1349854050, 1349854034, 1349854029, 1349854024, 1349854011, 1349854000, 1349853977, 1349853958, 1349853954, 1349853950, 1349853928, 1349853907, 1349853900, 1349853866, 1349853863, 1349853860, 1349853849, 1349853841, 1349853832, 1349853812, 1349853811, 1349853804, 1349853803, 1349853795, 1349853794, 1349853787, 1349853786, 1349853784, 1349853783, 1349853769, 1349853767, 1349853663, 1349853636, 1349853621, 1349853615, 1349853604, 1349853600, 1349853579, 1349853575, 1349853569, 1349853561, 1349853552, 1349853530, 1349853496] Looping around the photos to save general results len do output : 1 /22024890Didn'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, '2721582') ('4876', '22024890', '1349884140', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, 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'1349853841', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853832', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853812', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853811', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853804', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853803', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853795', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853794', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853787', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853786', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853784', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853783', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853769', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853767', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853663', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853636', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853621', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853615', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853604', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853600', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853579', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853575', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853569', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853561', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853552', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853530', None, None, None, None, None, '2721582') ('4876', None, None, None, None, None, None, None, '2721582') ('4876', '22024890', '1349853496', None, None, None, None, None, '2721582') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.02985978126525879 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.20182371139526367 time spend to save output : 0.03076314926147461 total time spend for step 1 : 0.23258686065673828 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 1.06user 0.48system 0:02.61elapsed 59%CPU (0avgtext+0avgdata 100392maxresident)k 0inputs+40outputs (10major+48416minor)pagefaults 0swaps