python /home/admin/mtr/script_for_cron.py -j default -m 20 -a 'python3 ~/workarea/git/Velours/python/prod/datou.py -j batch_current -C 2593044 ' -s traitement_sts -M 0 -S 0 -U 100,80,95 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/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', '/home/admin/workarea/git/apy', '/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 : 3134059 load datou : 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 ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : step 0 init_dummy_multi_datou is not linked in the step_by_step architecture ! WARNING : step 1294 init_dummy_multi_datou is not linked in the step_by_step architecture ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! 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 : (photo_id, hashtag_id, score_max) was removed should we ? (x0, y0, x1, y1) was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (x0, y0, x1, y1) was removed should we ? chemin de la photo 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 : 3385, datou_cur_ids : ['2593044'] with mtr_portfolio_ids : ['20591085'] and first list_photo_ids : [] new path : /proc/3134059/ 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 : 0.02554464340209961 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Feb 17 11:53:47 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'}] (('07', 56), ('08', 49), ('09', 26), ('10', 23), ('11', 20), ('12', 5), ('13', 13), ('14', 2), ('15', 24), ('16', 20), ('17', 25), ('18', 14), ('19', 34), ('20', 43), ('21', 41), ('22', 42), ('23', 29)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 466} 16022025 20591085 Nombre de photos uploadées : 466 / 23040 (2%) 16022025 20591085 Nombre de photos taguées (types de déchets): 466 / 466 (100%) 16022025 20591085 Nombre de photos taguées (volume) : 466 / 466 (100%) elapsed_time : load_data_split_time_score 2.6226043701171875e-06 elapsed_time : order_list_meta_photo_and_scores 0.00020265579223632812 elapsed_time : fill_and_build_computed_from_old_data 0.019944429397583008 elapsed_time : insert_dashboard_record_day_entry 0.02257537841796875 Creating list_photo_by_hashtags elapsed_time : list_photo_by_hashtags 0.012650489807128906 Creating list_photo_total elapsed_time : select_descriptors 43.024683475494385 16022025 20591085 Nombre de photos avec descriptors (type 5680) : 466 / 466 (100%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1338041853 photo_id_prec : 0 0:00:00|ON:0:01:58.998835|OFF: 16022025 Removing 465 photos because of the 'same image' condition Total on : 118.998835 list_time_on Warning in study_and_display_distrib_list : min=max : 118.998835 118.998835 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 466 time used for this insertion : 0.6414744853973389 photos_removed : len 465 elapsed_time : remove_photo_duplicate 0.6966753005981445 To do, maybe not at the correct place ! ..................................................................................................................................................................................................................................................................................................................................................................................................................................................................................force hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.01691722869873047 NUMBER BATCH : 1 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] We have rejected 1 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.023857831954956055 # DISPLAY ALL COLLECTED DATA : {'16022025': {'nb_upload': 466, 'nb_taggue_class': 466, 'nb_taggue_densite': 466, 'nb_descriptors': 466}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1338115770, 1338098953, 1338098192, 1338098186, 1338098171, 1338098158, 1338098110, 1338098099, 1338098033, 1338098022, 1338098010, 1338097996, 1338097952, 1338097921, 1338097853, 1338097841, 1338097828, 1338097817, 1338097788, 1338097787, 1338097713, 1338097712, 1338097699, 1338097698, 1338097663, 1338097662, 1338097641, 1338097628, 1338097592, 1338096822, 1338096764, 1338096185, 1338096184, 1338096079, 1338096068, 1338096006, 1338095985, 1338095984, 1338095973, 1338095972, 1338095959, 1338095945, 1338095920, 1338095895, 1338095882, 1338095880, 1338095867, 1338095865, 1338095854, 1338095843, 1338095841, 1338095818, 1338095803, 1338095800, 1338095779, 1338095768, 1338095754, 1338095734, 1338095712, 1338095700, 1338095681, 1338095668, 1338095642, 1338095608, 1338095591, 1338095524, 1338095506, 1338095473, 1338095456, 1338095454, 1338095314, 1338094953, 1338094520, 1338094329, 1338094315, 1338094299, 1338094283, 1338094254, 1338094170, 1338094168, 1338094141, 1338094139, 1338094123, 1338094121, 1338093884, 1338093869, 1338093854, 1338093853, 1338093840, 1338093824, 1338093780, 1338093766, 1338093749, 1338093669, 1338093652, 1338093634, 1338093621, 1338093619, 1338093603, 1338093563] Looping around the photos to save general results len do output : 1 /20591085Didn'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 ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338115770', None, None, None, None, None, '2593044') ('3385', 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'2593044') ('3385', '20591085', '1338094329', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338094315', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338094299', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338094283', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338094254', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338094170', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338094168', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338094141', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338094139', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338094123', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338094121', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093884', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093869', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093854', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093853', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093840', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093824', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093780', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093766', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093749', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093669', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093652', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093634', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093621', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093619', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093603', None, None, None, None, None, '2593044') ('3385', None, None, None, None, None, None, None, '2593044') ('3385', '20591085', '1338093563', None, None, None, None, None, '2593044') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.026059389114379883 save_final save missing photos in datou_result : time spend for datou_step_exec : 43.99797320365906 time spend to save output : 0.0274355411529541 total time spend for step 1 : 44.02540874481201 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 2.26user 0.86system 0:45.58elapsed 6%CPU (0avgtext+0avgdata 105000maxresident)k 152inputs+3784outputs (0major+49978minor)pagefaults 0swaps