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 : 2109031 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 : ['2783872'] with mtr_portfolio_ids : ['22597825'] and first list_photo_ids : [] new path : /proc/2109031/ 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 : 0.03233504295349121 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri May 2 15:30:28 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', 359), ('14', 358)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 712} 02052025 22597825 Nombre de photos uploadées : 717 / 23040 (3%) 02052025 22597825 Nombre de photos taguées (types de déchets): 712 / 717 (99%) 02052025 22597825 Nombre de photos taguées (volume) : 712 / 717 (99%) elapsed_time : load_data_split_time_score 3.814697265625e-06 elapsed_time : order_list_meta_photo_and_scores 0.0002372264862060547 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL????? elapsed_time : fill_and_build_computed_from_old_data 0.06649661064147949 elapsed_time : insert_dashboard_record_day_entry 0.023566484451293945 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.05727958679199219 Creating list_photo_total elapsed_time : select_descriptors 27.888447046279907 02052025 22597825 Nombre de photos avec descriptors (type 5680) : 359 / 364 (98%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1355250406 photo_id_prec : 0 0:00:00|ON:LL0:04:59.633055|OFF:LLLLLL0:00:59.870251|ON:LL0:00:00|OFF:LLLLLL0:00:00|ON:LL0:00:59.844195|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLL0:01:59.849749|ON:LL0:00:00|OFF:LLLL0:00:59.869779|ON:LL0:00:00|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:04:00.926053|ON:LL0:00:59.909537|OFF:LLLLLLLL0:00:00|ON:LL0:00:59.924992|OFF:LLLL0:00:00|ON:LL0:00:59.669459|OFF:LL0:00:00|ON:LL0:02:00.925712|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:03:58.863994|ON:LL0:03:00.342760|OFF:LLLLLLLL0:00:59.862191|ON:LL0:06:00.373297|OFF:LL0:01:01.075715|ON:LMissing descriptors for photos 1355296074 and 1355296112 LMissing descriptors for photos 1355296112 and 1355296163 LMissing descriptors for photos 1355296163 and 1355296245 LMissing descriptors for photos 1355296245 and 1355296321 LMissing descriptors for photos 1355296321 and 1355296490 LMissing descriptors for photos 1355296490 and 1355296552 LMissing descriptors for photos 1355296552 and 1355296615 LMissing descriptors for photos 1355296615 and 1355296648 LMissing descriptors for photos 1355296648 and 1355296661 LMissing descriptors for photos 1355296661 and 1355296689 LMissing descriptors for photos 1355296689 and 1355296798 LMissing descriptors for photos 1355296798 and 1355296848 LMissing descriptors for photos 1355296848 and 1355296891 LMissing descriptors for photos 1355296891 and 1355296932 LMissing descriptors for photos 1355296932 and 1355296971 LMissing descriptors for photos 1355296971 and 1355297015 LMissing descriptors for photos 1355297015 and 1355297212 LMissing descriptors for photos 1355297212 and 1355297226 LMissing descriptors for photos 1355297226 and 1355297230 LMissing descriptors for photos 1355297230 and 1355297233 LMissing descriptors for photos 1355297233 and 1355297237 LMissing descriptors for photos 1355297237 and 1355297338 LMissing descriptors for photos 1355297338 and 1355298040 LMissing descriptors for photos 1355298040 and 1355298045 LMissing descriptors for photos 1355298045 and 1355298082 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descriptors for photos 1355298827 and 1355298834 LMissing descriptors for photos 1355298834 and 1355298837 LMissing descriptors for photos 1355298837 and 1355298841 LMissing descriptors for photos 1355298841 and 1355298848 LMissing descriptors for photos 1355298848 and 1355298905 LMissing descriptors for photos 1355298905 and 1355298917 LMissing descriptors for photos 1355298917 and 1355298928 LMissing descriptors for photos 1355298928 and 1355298939 LMissing descriptors for photos 1355298939 and 1355298956 LMissing descriptors for photos 1355298956 and 1355298962 LMissing descriptors for photos 1355298962 and 1355299133 LMissing descriptors for photos 1355299133 and 1355299171 LMissing descriptors for photos 1355299171 and 1355299237 LMissing descriptors for photos 1355299237 and 1355299275 LMissing descriptors for photos 1355299275 and 1355299297 LMissing descriptors for photos 1355299297 and 1355299336 LMissing descriptors for photos 1355299336 and 1355299580 LMissing descriptors for photos 1355299580 and 1355299655 LMissing descriptors for photos 1355299655 and 1355299741 LMissing descriptors for photos 1355299741 and 1355299790 LMissing descriptors for photos 1355299790 and 1355299833 LMissing descriptors for photos 1355299833 and 1355299873 LMissing descriptors for photos 1355299873 and 1355300414 LMissing descriptors for photos 1355300414 and 1355300642 LMissing descriptors for photos 1355300642 and 1355300840 LMissing descriptors for photos 1355300840 and 1355300962 LMissing descriptors for photos 1355300962 and 1355301040 LMissing descriptors for photos 1355301040 and 1355301115 LMissing descriptors for photos 1355301115 and 1355301419 LMissing descriptors for photos 1355301419 and 1355301489 LMissing descriptors for photos 1355301489 and 1355301499 LMissing descriptors for photos 1355301499 and 1355301504 LMissing descriptors for photos 1355301504 and 1355301506 LMissing descriptors for photos 1355301506 and 1355301519 LMissing descriptors for photos 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1355304671 LMissing descriptors for photos 1355304671 and 1355304699 LMissing descriptors for photos 1355304699 and 1355304722 LMissing descriptors for photos 1355304722 and 1355304764 LMissing descriptors for photos 1355304764 and 1355304802 LMissing descriptors for photos 1355304802 and 1355304842 LMissing descriptors for photos 1355304842 and 1355304879 LMissing descriptors for photos 1355304879 and 1355305025 LMissing descriptors for photos 1355305025 and 1355305100 LMissing descriptors for photos 1355305100 and 1355305180 LMissing descriptors for photos 1355305180 and 1355305238 LMissing descriptors for photos 1355305238 and 1355305308 LMissing descriptors for photos 1355305308 and 1355305392 LMissing descriptors for photos 1355305392 and 1355305522 LMissing descriptors for photos 1355305522 and 1355305524 LMissing descriptors for photos 1355305524 and 1355305527 LMissing descriptors for photos 1355305527 and 1355305548 LMissing descriptors for photos 1355305548 and 1355305591 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1355307365 LMissing descriptors for photos 1355307365 and 1355307411 LMissing descriptors for photos 1355307411 and 1355307475 LMissing descriptors for photos 1355307475 and 1355307525 LMissing descriptors for photos 1355307525 and 1355307573 LMissing descriptors for photos 1355307573 and 1355307993 LMissing descriptors for photos 1355307993 and 1355308036 LMissing descriptors for photos 1355308036 and 1355308122 LMissing descriptors for photos 1355308122 and 1355308181 LMissing descriptors for photos 1355308181 and 1355308254 LMissing descriptors for photos 1355308254 and 1355308317 LMissing descriptors for photos 1355308317 and 1355308758 LMissing descriptors for photos 1355308758 and 1355308909 LMissing descriptors for photos 1355308909 and 1355309006 LMissing descriptors for photos 1355309006 and 1355309080 LMissing descriptors for photos 1355309080 and 1355309153 LMissing descriptors for photos 1355309153 and 1355309254 LMissing descriptors for photos 1355309254 and 1355310138 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1355323409 and 1355323723 LMissing descriptors for photos 1355323723 and 1355323810 LMissing descriptors for photos 1355323810 and 1355323866 LMissing descriptors for photos 1355323866 and 1355323937 LMissing descriptors for photos 1355323937 and 1355323983 LMissing descriptors for photos 1355323983 and 1355324088 LMissing descriptors for photos 1355324088 and 1355324714 LMissing descriptors for photos 1355324714 and 1355324834 LMissing descriptors for photos 1355324834 and 1355324914 LMissing descriptors for photos 1355324914 and 1355325026 LMissing descriptors for photos 1355325026 and 1355325122 LMissing descriptors for photos 1355325122 and 1355325201 LMissing descriptors for photos 1355325201 and 1355325894 LMissing descriptors for photos 1355325894 and 1355325973 LMissing descriptors for photos 1355325973 and 1355326050 LMissing descriptors for photos 1355326050 and 1355326141 LMissing descriptors for photos 1355326141 and 1355326305 LMissing descriptors for photos 1355326305 and 1355326793 LMissing descriptors for photos 1355326793 and 1355327376 LMissing descriptors for photos 1355327376 and 1355327387 LMissing descriptors for photos 1355327387 and 1355327430 LMissing descriptors for photos 1355327430 and 1355327487 LMissing descriptors for photos 1355327487 and 1355327504 L 02052025 Removing 91 photos because of the 'same image' condition Total on : 1200.623007 list_time_on Total off : 840.317732 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 717 time used for this insertion : 0.12574267387390137 photos_removed : len 91 elapsed_time : remove_photo_duplicate 0.19311881065368652 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.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.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.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.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.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.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.L.L.L.L.L.L.L.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.025026559829711914 NUMBER BATCH : 5 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] result_one_balle_Type_JRM:{'day': '02052025', 'map_nb_amount': {0: 1, 1: 38, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.9930820465088, 'nb_balles_papier': 0.00039000000000000037, 'begin_time_port': 'image_02052025_10_00_03_153820m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00039000000000000037 result_one_balle_Type_JRM:{'day': '02052025', 'map_nb_amount': {0: 4, 1: 47, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 840.0006420612335, 'nb_balles_papier': 0.0005200000000000007, 'begin_time_port': 'image_02052025_10_15_03_056439m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005200000000000007 result_one_balle_Type_JRM:{'day': '02052025', 'map_nb_amount': {0: 13, 1: 72, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.8412308692932, 'nb_balles_papier': 0.0008800000000000017, 'begin_time_port': 'image_02052025_10_30_02_894567m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0008800000000000017 result_one_balle_Type_JRM:{'day': '02052025', 'map_nb_amount': {0: 11, 1: 74, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.56582903862, 'nb_balles_papier': 0.0008900000000000017, 'begin_time_port': 'image_02052025_10_45_02_644082m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0008900000000000017 We have rejected 5 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 4 list_same_port_ids : [22598633] find same portfolio which already exist 22598633 , we will use it list_same_port_ids : [22599709] find same portfolio which already exist 22599709 , we will use it list_same_port_ids : [22599710] find same portfolio which already exist 22599710 , we will use it list_same_port_ids : [22605005] find same portfolio which already exist 22605005 , we will use it # 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) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! 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 : number of outputs for step 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! 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 ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22598633 AND mptpi.`type`=3726 To do # 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) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! 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 : number of outputs for step 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! 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 ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22599709 AND mptpi.`type`=3726 To do Qualite : 0.11839843265300193 # 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) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! 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 : number of outputs for step 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! 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 ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22599710 AND mptpi.`type`=3726 To do # 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) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! 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 : number of outputs for step 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! 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 ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22605005 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 1.5694513320922852 # DISPLAY ALL COLLECTED DATA : {'02052025': {'nb_upload': 717, 'nb_taggue_class': 712, 'nb_taggue_densite': 712, 'nb_descriptors': 359}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1355327504, 1355327487, 1355327430, 1355327387, 1355327376, 1355326793, 1355326305, 1355326141, 1355326050, 1355325973, 1355325894, 1355325201, 1355325122, 1355325026, 1355324914, 1355324834, 1355324714, 1355324088, 1355323983, 1355323937, 1355323866, 1355323810, 1355323723, 1355323409, 1355323281, 1355323128, 1355323022, 1355322892, 1355322763, 1355322485, 1355322420, 1355322354, 1355322273, 1355322222, 1355322187, 1355321799, 1355321743, 1355321659, 1355321585, 1355321496, 1355321400, 1355320669, 1355320626, 1355320579, 1355320541, 1355320432, 1355320354, 1355320135, 1355320115, 1355320064, 1355320014, 1355319958, 1355319899, 1355319533, 1355319451, 1355319375, 1355319325, 1355319285, 1355319242, 1355319151, 1355319146, 1355319139, 1355319134, 1355319127, 1355319124, 1355318869, 1355318786, 1355318686, 1355318602, 1355318522, 1355318447, 1355317992, 1355317708, 1355317597, 1355317460, 1355317321, 1355317217, 1355316678, 1355316593, 1355316512, 1355316441, 1355316406, 1355316403, 1355316316, 1355316274, 1355316222, 1355316177, 1355316133, 1355316096, 1355316047, 1355316036, 1355316015, 1355315986, 1355315941, 1355315873, 1355315499, 1355315454, 1355315416, 1355315367, 1355315294] Looping around the photos to save general results len do output : 1 /22597825Didn'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, '2783872') ('4189', '22597825', '1355327504', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355327487', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355327430', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355327387', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355327376', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355326793', None, None, 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('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355325026', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355324914', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355324834', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355324714', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355324088', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355323983', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355323937', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355323866', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355323810', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355323723', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355323409', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355323281', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355323128', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355323022', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355322892', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355322763', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355322485', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355322420', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355322354', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355322273', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355322222', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355322187', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355321799', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355321743', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355321659', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355321585', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355321496', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355321400', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355320669', None, None, None, None, None, 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None, None, '2783872') ('4189', '22597825', '1355316222', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355316177', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355316133', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355316096', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355316047', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355316036', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355316015', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355315986', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355315941', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355315873', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355315499', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355315454', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355315416', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355315367', None, None, None, None, None, '2783872') ('4189', None, None, None, None, None, None, None, '2783872') ('4189', '22597825', '1355315294', None, None, None, None, None, '2783872') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.02714228630065918 save_final save missing photos in datou_result : time spend for datou_step_exec : 29.979882955551147 time spend to save output : 0.028057336807250977 total time spend for step 1 : 30.0079402923584 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 2.54user 0.78system 0:32.50elapsed 10%CPU (0avgtext+0avgdata 107060maxresident)k 1752inputs+3024outputs (13major+58645minor)pagefaults 0swaps