python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4189' -s datou_current_4189 -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 : 3350630 load datou : 4189 # 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 : 4189, datou_cur_ids : ['3370172'] with mtr_portfolio_ids : ['25395828'] and first list_photo_ids : [] new path : /proc/3350630/ 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 : 0.016747474670410156 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Jul 28 11:30:28 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'}] (('10', 64),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} L28072025 25395828 Nombre de photos uploadées : 64 / 23040 (0%) 28072025 25395828 Nombre de photos taguées (types de déchets): 0 / 64 (0%) 28072025 25395828 Nombre de photos taguées (volume) : 0 / 64 (0%) elapsed_time : load_data_split_time_score 2.1457672119140625e-06 elapsed_time : order_list_meta_photo_and_scores 6.4373016357421875e-06 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL???????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0019218921661376953 LCatched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.22250819206237793 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 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 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 Hashtag is None elapsed_time : list_photo_by_hashtags 0.0019333362579345703 Creating list_photo_total elapsed_time : select_descriptors 0.013701677322387695 28072025 25395828 Nombre de photos avec descriptors (type 5680) : 0 / 64 (0%) Missing descriptors for photos 0 and 1374121370 L0:00:00|ON:Missing descriptors for photos 1374121370 and 1374121366 LMissing descriptors for photos 1374121366 and 1374121390 LMissing descriptors for photos 1374121390 and 1374121385 LMissing descriptors for photos 1374121385 and 1374121374 LMissing descriptors for photos 1374121374 and 1374121379 LMissing descriptors for photos 1374121379 and 1374121805 LMissing descriptors for photos 1374121805 and 1374121810 LMissing descriptors for photos 1374121810 and 1374121815 LMissing descriptors for photos 1374121815 and 1374121821 LMissing descriptors for photos 1374121821 and 1374121864 LMissing descriptors for photos 1374121864 and 1374121907 LMissing descriptors for photos 1374121907 and 1374122463 LMissing descriptors for photos 1374122463 and 1374122482 LMissing descriptors for photos 1374122482 and 1374122478 LMissing descriptors for photos 1374122478 and 1374122475 LMissing descriptors for photos 1374122475 and 1374122472 LMissing descriptors for photos 1374122472 and 1374122466 LMissing descriptors for photos 1374122466 and 1374122715 LMissing descriptors for photos 1374122715 and 1374122732 LMissing descriptors for photos 1374122732 and 1374122728 LMissing descriptors for photos 1374122728 and 1374122724 LMissing descriptors for photos 1374122724 and 1374122722 LMissing descriptors for photos 1374122722 and 1374122720 LMissing descriptors for photos 1374122720 and 1374122928 LMissing descriptors for photos 1374122928 and 1374122933 LMissing descriptors for photos 1374122933 and 1374122935 LMissing descriptors for photos 1374122935 and 1374122936 LMissing descriptors for photos 1374122936 and 1374122938 LMissing descriptors for photos 1374122938 and 1374122943 LMissing descriptors for photos 1374122943 and 1374123209 LMissing descriptors for photos 1374123209 and 1374123204 LMissing descriptors for photos 1374123204 and 1374123191 LMissing descriptors for photos 1374123191 and 1374123188 LMissing descriptors for photos 1374123188 and 1374123175 LMissing descriptors for photos 1374123175 and 1374123198 LMissing descriptors for photos 1374123198 and 1374123456 LMissing descriptors for photos 1374123456 and 1374123459 LMissing descriptors for photos 1374123459 and 1374123466 LMissing descriptors for photos 1374123466 and 1374123470 LMissing descriptors for photos 1374123470 and 1374123473 LMissing descriptors for photos 1374123473 and 1374123480 LMissing descriptors for photos 1374123480 and 1374124214 LMissing descriptors for photos 1374124214 and 1374124285 LMissing descriptors for photos 1374124285 and 1374124371 LMissing descriptors for photos 1374124371 and 1374124441 LMissing descriptors for photos 1374124441 and 1374125821 LMissing descriptors for photos 1374125821 and 1374125826 LMissing descriptors for photos 1374125826 and 1374125833 LMissing descriptors for photos 1374125833 and 1374125841 LMissing descriptors for photos 1374125841 and 1374125846 LMissing descriptors for photos 1374125846 and 1374125849 LMissing descriptors for photos 1374125849 and 1374126996 LMissing descriptors for photos 1374126996 and 1374127001 LMissing descriptors for photos 1374127001 and 1374127006 LMissing descriptors for photos 1374127006 and 1374127011 LMissing descriptors for photos 1374127011 and 1374127012 LMissing descriptors for photos 1374127012 and 1374127013 LMissing descriptors for photos 1374127013 and 1374127257 LMissing descriptors for photos 1374127257 and 1374127260 LMissing descriptors for photos 1374127260 and 1374127262 LMissing descriptors for photos 1374127262 and 1374127263 LMissing descriptors for photos 1374127263 and 1374127266 LMissing descriptors for photos 1374127266 and 1374127283 L 28072025 Removing 0 photos because of the 'same image' condition Total on : 0 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc Warning in study_and_display_distrib_list : min=max : -1 -1 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 64 time used for this insertion : 0.07243585586547852 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.09758949279785156 To do, maybe not at the correct place ! .L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.0060803890228271484 NUMBER BATCH : 1 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.026298046112060547 # DISPLAY ALL COLLECTED DATA : {'28072025': {'nb_upload': 64, 'nb_taggue_class': 0, 'nb_taggue_densite': 0, 'nb_descriptors': 0}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1374127283, 1374127266, 1374127263, 1374127262, 1374127260, 1374127257, 1374127013, 1374127012, 1374127011, 1374127006, 1374127001, 1374126996, 1374125849, 1374125846, 1374125841, 1374125833, 1374125826, 1374125821, 1374124441, 1374124371, 1374124285, 1374124214, 1374123480, 1374123473, 1374123470, 1374123466, 1374123459, 1374123456, 1374123209, 1374123204, 1374123198, 1374123191, 1374123188, 1374123175, 1374122943, 1374122938, 1374122936, 1374122935, 1374122933, 1374122928, 1374122732, 1374122728, 1374122724, 1374122722, 1374122720, 1374122715, 1374122482, 1374122478, 1374122475, 1374122472, 1374122466, 1374122463, 1374121907, 1374121864, 1374121821, 1374121815, 1374121810, 1374121805, 1374121390, 1374121385, 1374121379, 1374121374, 1374121370, 1374121366] Looping around the photos to save general results len do output : 1 /25395828Didn'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 ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374127283', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374127266', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374127263', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374127262', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374127260', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374127257', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374127013', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374127012', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374127011', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374127006', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374127001', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374126996', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374125849', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374125846', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374125841', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374125833', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374125826', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374125821', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374124441', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374124371', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374124285', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374124214', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374123480', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374123473', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374123470', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374123466', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374123459', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374123456', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374123209', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374123204', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374123198', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374123191', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374123188', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374123175', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122943', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122938', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122936', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122935', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122933', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122928', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122732', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122728', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122724', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122722', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122720', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122715', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122482', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122478', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122475', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122472', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122466', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374122463', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374121907', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374121864', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374121821', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374121815', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374121810', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374121805', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374121390', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374121385', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374121379', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374121374', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374121370', None, None, None, None, None, '3370172') ('4189', None, None, None, None, None, None, None, '3370172') ('4189', '25395828', '1374121366', None, None, None, None, None, '3370172') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 65 time used for this insertion : 0.28891825675964355 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.45363807678222656 time spend to save output : 0.28937745094299316 total time spend for step 1 : 0.7430155277252197 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 1.39user 0.67system 0:04.08elapsed 50%CPU (0avgtext+0avgdata 100424maxresident)k 0inputs+48outputs (0major+59580minor)pagefaults 0swaps