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 : 2695993 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 : ['2711355'] with mtr_portfolio_ids : ['21928783'] and first list_photo_ids : [] new path : /proc/2695993/ 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 : 0.09746527671813965 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 03:38:27 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', 11)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 23} 01042025 21928783 Nombre de photos uploadées : 41 / 23040 (0%) 01042025 21928783 Nombre de photos taguées (types de déchets): 23 / 41 (56%) 01042025 21928783 Nombre de photos taguées (volume) : 23 / 41 (56%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 2.4318695068359375e-05 ????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.002478361129760742 elapsed_time : insert_dashboard_record_day_entry 0.027377843856811523 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 elapsed_time : list_photo_by_hashtags 0.009351730346679688 photos_removed : len 0 elapsed_time : load_duplicate_info 0.011397361755371094 ***** BEGIN SPLIT TIME ***** True 1743465600.0 `1743461604.010138 1743461100.0 `1743464433.009126 1743463800.0 `1743464443.010143 1743463800.0 `1743464453.010137 1743463800.0 `1743464984.010141 1743464700.0 `1743465274.01014 1743464700.0 `1743465393.010144 1743464700.0 `1743465533.010134 1743464700.0 `1743465553.010021 1743464700.0 `1743465584.010136 1743464700.0 `1743465843.009153 1743465600.0 `1743466554.010138 1743466500.0 `1743466643.01014 1743466500.0 `1743466804.010139 1743466500.0 `1743466894.010142 1743466500.0 `1743467294.010141 1743466500.0 `1743467343.009198 1743466500.0 `1743467364.010147 1743466500.0 `1743467374.010142 1743466500.0 `1743467604.010136 1743467400.0 `1743467614.010141 1743467400.0 `1743467703.010142 1743467400.0 `1743467934.010138 1743467400.0 `1743467974.010143 1743467400.0 `1743468164.010141 1743467400.0 `1743468174.010136 1743467400.0 `1743468254.010139 1743467400.0 `1743468524.010141 1743468300.0 `1743468804.010139 1743468300.0 `1743468824.010136 1743468300.0 `1743469273.009126 1743469200.0 `1743469283.010145 1743469200.0 `1743469594.010137 1743469200.0 `1743469604.010142 1743469200.0 `1743469614.010135 1743469200.0 `1743469923.00919 1743469200.0 `1743470474.010135 1743470100.0 `1743470793.009127 1743470100.0 `1743471024.010136 1743471000.0 `1743471194.009792 1743471000.0 `1743471404.010139 1743471000.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.0065326690673828125 ***** END SPLIT TIME ***** NUMBER BATCH : 10 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 result_one_balle_Type_JRM:{'day': '01042025', 'map_nb_amount': {0: 0, 1: 3, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 820.0000040531158, 'nb_balles_papier': 3.0000000000000004e-05, 'begin_time_port': 'image_01042025_02_15_54_10138.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 3.0000000000000004e-05 We reject this portfolio because of the condition_save_data : 2025-04-01 02:15:54.010138 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '01042025', 'map_nb_amount': {0: 0, 1: 4, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 650.0000030994415, 'nb_balles_papier': 4e-05, 'begin_time_port': 'image_01042025_02_33_24_010136m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 4e-05 We reject this portfolio because of the condition_save_data : 2025-04-01 02:33:24.010136 We have rejected 25 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.06574797630310059 # DISPLAY ALL COLLECTED DATA : {'01042025': {'nb_upload': 41, 'nb_taggue_class': 23, 'nb_taggue_densite': 23}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1349188702, 1349188696, 1349188406, 1349187625, 1349187295, 1349186625, 1349185379, 1349185067, 1349185064, 1349185059, 1349183496, 1349183468, 1349181403, 1349181401, 1349180773, 1349180254, 1349179937, 1349179935, 1349179232, 1349179211, 1349179049, 1349178929, 1349178926, 1349178035, 1349178030, 1349178015, 1349177830, 1349175916, 1349175718, 1349174339, 1349173959, 1349172072, 1349167472, 1349167425, 1349167243, 1349164905, 1349164666, 1349163715, 1349163035, 1349163032, 1349163030, 1349161759, 1349159241, 1349158294, 1349152969, 1349152966, 1349152679, 1349152248, 1349151832, 1349151358, 1349151310, 1349150322, 1349149357, 1349148698, 1349145571, 1349144983, 1349142356] 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, '2711355') ('4876', '21928783', '1349188702', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349188696', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349188406', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349187625', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349187295', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349186625', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349185379', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349185067', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349185064', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349185059', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349183496', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349183468', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349181403', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349181401', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349180773', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349180254', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349179937', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349179935', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349179232', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349179211', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349179049', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349178929', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349178926', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349178035', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349178030', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349178015', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349177830', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349175916', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349175718', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349174339', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349173959', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349172072', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349167472', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349167425', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349167243', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349164905', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349164666', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349163715', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349163035', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349163032', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349163030', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349161759', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349159241', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349158294', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349152969', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349152966', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349152679', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349152248', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349151832', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349151358', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349151310', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349150322', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349149357', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349148698', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349145571', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349144983', None, None, None, None, None, '2711355') ('4876', None, None, None, None, None, None, None, '2711355') ('4876', '21928783', '1349142356', None, None, None, None, None, '2711355') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 58 time used for this insertion : 0.5549483299255371 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.20380949974060059 time spend to save output : 0.5555720329284668 total time spend for step 1 : 0.7593815326690674 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 1.18user 0.73system 0:02.60elapsed 73%CPU (0avgtext+0avgdata 100348maxresident)k 32inputs+32outputs (2major+48395minor)pagefaults 0swaps