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 : 463896 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 : ['3852132'] with mtr_portfolio_ids : ['27526473'] and first list_photo_ids : [] new path : /proc/463896/ 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 : 0.07379865646362305 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Oct 6 11:05:27 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'}] (('10', 353),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 341} 06102025 27526473 Nombre de photos uploadées : 353 / 23040 (1%) 06102025 27526473 Nombre de photos taguées (types de déchets): 341 / 353 (96%) 06102025 27526473 Nombre de photos taguées (volume) : 341 / 353 (96%) elapsed_time : load_data_split_time_score 2.384185791015625e-06 elapsed_time : order_list_meta_photo_and_scores 0.00013780593872070312 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL???????????? elapsed_time : fill_and_build_computed_from_old_data 0.01732349395751953 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.6591274738311768 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 elapsed_time : list_photo_by_hashtags 0.1158759593963623 Creating list_photo_total elapsed_time : select_descriptors 19.643057823181152 06102025 27526473 Nombre de photos avec descriptors (type 5680) : 334 / 346 (96%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1387760760 photo_id_prec : 0 0:00:00|ON:LL0:04:59.888433|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:10:59.357442|ON:LMissing descriptors for photos 1387762713 and 1387762717 LMissing descriptors for photos 1387762717 and 1387762723 LMissing descriptors for photos 1387762723 and 1387762726 LMissing descriptors for photos 1387762726 and 1387762729 LMissing descriptors for photos 1387762729 and 1387762742 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:16:00.675510|OFF:L0:00:59.670279|ON:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:06:00.643881|OFF:L0:00:00|ON:LLLLLLLLLLLLLLLLLLLLLLLLLLLL0:03:59.045629|OFF:L0:01:00.700350|ON:LLLLLLLLLLLLLLLLLL0:01:59.499761|OFF:L0:01:00.702069|ON:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1387764822 photo_id_prec : 1387764815 LMissing descriptors for photos 1387764822 and 1387764825 LMissing descriptors for photos 1387764825 and 1387764829 LMissing descriptors for photos 1387764829 and 1387764833 LMissing descriptors for photos 1387764833 and 1387764836 LMissing descriptors for photos 1387764836 and 1387764840 LMissing descriptors for photos 1387764840 and 1387764862 LMissing descriptors for photos 1387764862 and 1387764865 LMissing descriptors for photos 1387764865 and 1387764869 LMissing descriptors for photos 1387764869 and 1387764873 LMissing descriptors for photos 1387764873 and 1387764876 LMissing descriptors for photos 1387764876 and 1387764880 L 06102025 Removing 73 photos because of the 'same image' condition Total on : 1979.753214 list_time_on Total off : 840.43014 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 353 time used for this insertion : 0.15614748001098633 photos_removed : len 73 elapsed_time : remove_photo_duplicate 0.27539968490600586 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.02947711944580078 NUMBER BATCH : 4 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': '06102025', 'map_nb_amount': {0: 5, 1: 25, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 299.88843297958374, 'nb_balles_papier': 0.00031000000000000016, 'begin_time_port': 'image_06102025_10_00_02_938423m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00031000000000000016 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLresult_one_balle_Type_JRM:{'day': '06102025', 'map_nb_amount': {0: 3, 1: 67, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 780.4407339096069, 'nb_balles_papier': 0.0007300000000000013, 'begin_time_port': 'image_06102025_10_16_02_184298m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007300000000000013 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLresult_one_balle_Type_JRM:{'day': '06102025', 'map_nb_amount': {0: 9, 1: 77, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 840.4939639568329, 'nb_balles_papier': 0.0008700000000000016, 'begin_time_port': 'image_06102025_10_30_02_425983_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0008700000000000016 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info LLresult_one_balle_Type_JRM:{'day': '06102025', 'map_nb_amount': {0: 5, 1: 61, 2: 1, 3: 3, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 779.7618839740753, 'nb_balles_papier': 0.0007000000000000012, 'begin_time_port': 'image_06102025_10_45_02_791906_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007000000000000012 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 4 list_same_port_ids : [27527303] find same portfolio which already exist 27527303 , we will use it list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] # 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`=27527303 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`=27528443 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`=27528446 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`=27528449 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 12.79286813735962 # DISPLAY ALL COLLECTED DATA : {'06102025': {'nb_upload': 353, 'nb_taggue_class': 341, 'nb_taggue_densite': 341, 'nb_descriptors': 334}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1387764880, 1387764876, 1387764873, 1387764869, 1387764865, 1387764862, 1387764840, 1387764836, 1387764833, 1387764829, 1387764825, 1387764822, 1387764815, 1387764813, 1387764811, 1387764805, 1387764799, 1387764794, 1387764788, 1387764785, 1387764782, 1387764777, 1387764754, 1387764745, 1387764734, 1387764733, 1387764730, 1387764727, 1387764720, 1387764713, 1387764704, 1387764701, 1387764696, 1387764693, 1387764688, 1387764684, 1387764677, 1387764674, 1387764670, 1387764664, 1387764658, 1387764652, 1387764648, 1387764645, 1387764640, 1387764632, 1387764627, 1387764623, 1387764610, 1387764605, 1387764603, 1387764599, 1387764594, 1387764589, 1387764567, 1387764558, 1387764553, 1387764549, 1387764547, 1387764544, 1387764530, 1387764526, 1387764524, 1387764521, 1387764518, 1387764516, 1387764508, 1387764505, 1387764501, 1387764497, 1387764495, 1387764494, 1387764483, 1387764478, 1387764476, 1387764475, 1387764473, 1387764469, 1387764459, 1387764458, 1387764457, 1387764456, 1387764453, 1387764450, 1387764436, 1387764435, 1387764434, 1387764431, 1387764427, 1387764423, 1387764413, 1387764412, 1387764411, 1387764408, 1387764405, 1387764401, 1387764374, 1387764365, 1387764357, 1387764345] Looping around the photos to save general results len do output : 1 /27526473Didn'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, '3852132') ('4189', '27526473', '1387764880', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764876', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764873', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764869', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764865', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764862', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764840', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764836', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764833', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764829', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764825', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764822', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764815', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764813', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764811', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764805', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764799', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764794', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764788', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764785', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764782', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764777', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764754', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764745', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764734', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764733', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764730', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764727', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764720', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764713', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764704', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764701', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764696', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764693', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764688', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764684', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764677', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764674', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764670', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764664', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764658', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764652', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764648', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764645', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764640', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764632', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764627', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764623', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764610', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764605', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764603', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764599', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764594', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764589', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764567', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764558', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764553', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764549', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764547', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764544', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764530', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764526', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764524', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764521', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764518', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764516', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764508', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764505', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764501', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764497', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764495', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764494', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764483', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764478', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764476', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764475', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764473', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764469', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764459', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764458', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764457', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764456', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764453', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764450', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764436', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764435', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764434', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764431', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764427', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764423', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764413', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764412', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764411', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764408', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764405', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764401', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764374', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764365', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764357', None, None, None, None, None, '3852132') ('4189', None, None, None, None, None, None, None, '3852132') ('4189', '27526473', '1387764345', None, None, None, None, None, '3852132') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.04253029823303223 save_final save missing photos in datou_result : time spend for datou_step_exec : 33.81934905052185 time spend to save output : 0.043425798416137695 total time spend for step 1 : 33.86277484893799 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 2.33user 0.50system 0:36.44elapsed 7%CPU (0avgtext+0avgdata 103824maxresident)k 928inputs+2808outputs (42major+49643minor)pagefaults 0swaps