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 : 1581696 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 : ['3265880'] with mtr_portfolio_ids : ['24793024'] and first list_photo_ids : [] new path : /proc/1581696/ Inside batchDatouExec : verbose : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : split_time_score over limit max, limiting to limit_max 100 list_input_json : {} origin We have 1 , we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.021218299865722656 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Jul 10 15:00:28 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', 86),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 74} 10072025 24793024 Nombre de photos uploadées : 86 / 23040 (0%) 10072025 24793024 Nombre de photos taguées (types de déchets): 74 / 86 (86%) 10072025 24793024 Nombre de photos taguées (volume) : 74 / 86 (86%) elapsed_time : load_data_split_time_score 1.1920928955078125e-06 elapsed_time : order_list_meta_photo_and_scores 3.4332275390625e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL???????????? elapsed_time : fill_and_build_computed_from_old_data 0.005418062210083008 elapsed_time : insert_dashboard_record_day_entry 0.0277554988861084 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 0.02232670783996582 Creating list_photo_total elapsed_time : select_descriptors 2.2837941646575928 10072025 24793024 Nombre de photos avec descriptors (type 5680) : 34 / 46 (73%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1371485582 photo_id_prec : 0 0:00:00|ON:LMissing descriptors for photos 1371488896 and 1371488999 LLMissing descriptors for photos 1371491849 and 1371491894 LMissing descriptors for photos 1371491894 and 1371491936 LMissing descriptors for photos 1371491936 and 1371491977 LL0:04:59.912546|OFF:L0:00:00|ON:Missing descriptors for photos 1371492733 and 1371492720 LMissing descriptors for photos 1371492720 and 1371492715 LLLMissing descriptors for photos 1371492989 and 1371493001 LLMissing descriptors for photos 1371493010 and 1371495561 LMissing descriptors for photos 1371495561 and 1371495603 LL0:01:59.745684|OFF:L0:00:59.860140|ON:Missing descriptors for photos 1371497821 and 1371497861 LMissing descriptors for photos 1371497861 and 1371499672 LMissing descriptors for photos 1371499672 and 1371499677 LMissing descriptors for photos 1371499677 and 1371499692 LMissing descriptors for photos 1371499692 and 1371499701 LMissing descriptors for photos 1371499701 and 1371499708 LMissing descriptors for photos 1371499708 and 1371499714 LMissing descriptors for photos 1371499714 and 1371500766 LMissing descriptors for photos 1371500766 and 1371501026 LMissing descriptors for photos 1371501026 and 1371501103 LMissing descriptors for photos 1371501103 and 1371501294 LMissing descriptors for photos 1371501294 and 1371501432 LMissing descriptors for photos 1371501432 and 1371501448 LMissing descriptors for photos 1371501448 and 1371501688 LMissing descriptors for photos 1371501688 and 1371501897 LMissing descriptors for photos 1371501897 and 1371501909 LMissing descriptors for photos 1371501909 and 1371502045 LMissing descriptors for photos 1371502045 and 1371500672 LMissing descriptors for photos 1371500672 and 1371500494 LMissing descriptors for photos 1371500494 and 1371500385 LMissing descriptors for photos 1371500385 and 1371500840 LMissing descriptors for photos 1371500840 and 1371500325 LLLL0:00:59.942683|OFF:LLERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1371500519 photo_id_prec : 1371500025 L0:00:00|ON:Missing descriptors for photos 1371500519 and 1371500635 LMissing descriptors for photos 1371500635 and 1371500845 LMissing descriptors for photos 1371500845 and 1371500995 LMissing descriptors for photos 1371500995 and 1371501305 LMissing descriptors for photos 1371501305 and 1371501445 LMissing descriptors for photos 1371501445 and 1371501609 LMissing descriptors for photos 1371501609 and 1371501913 LMissing descriptors for photos 1371501913 and 1371501974 LMissing descriptors for photos 1371501974 and 1371502466 LMissing descriptors for photos 1371502466 and 1371502553 LMissing descriptors for photos 1371502553 and 1371502913 L 10072025 Removing 4 photos because of the 'same image' condition Total on : 479.600913 list_time_on Total off : 59.86014 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 86 time used for this insertion : 0.01819920539855957 photos_removed : len 4 elapsed_time : remove_photo_duplicate 0.04593777656555176 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.008518457412719727 NUMBER BATCH : 1 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLERROR 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 Lresult_one_balle_Type_JRM:{'day': '10072025', 'map_nb_amount': {0: 2, 1: 28, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 539.4610528945923, 'nb_balles_papier': 0.00030000000000000014, 'begin_time_port': 'image_10072025_10_00_02_928527m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00030000000000000014 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 1 list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=JRM_diff_batch__10072025_10_00_02_928527&access_token=b05576c56a0e42ad0cb9b46155f68f82 # 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`=24797729 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 2.3782241344451904 # DISPLAY ALL COLLECTED DATA : {'10072025': {'nb_upload': 86, 'nb_taggue_class': 74, 'nb_taggue_densite': 74, 'nb_descriptors': 34}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1371502913, 1371502553, 1371502466, 1371502045, 1371501974, 1371501913, 1371501909, 1371501897, 1371501688, 1371501609, 1371501448, 1371501445, 1371501432, 1371501305, 1371501294, 1371501103, 1371501026, 1371500995, 1371500845, 1371500840, 1371500766, 1371500672, 1371500635, 1371500519, 1371500494, 1371500385, 1371500325, 1371500092, 1371500031, 1371500025, 1371499714, 1371499708, 1371499701, 1371499692, 1371499677, 1371499672, 1371497861, 1371497821, 1371495603, 1371495561, 1371495518, 1371495473, 1371495464, 1371495435, 1371493010, 1371493005, 1371493001, 1371492989, 1371492987, 1371492984, 1371492737, 1371492733, 1371492723, 1371492720, 1371492715, 1371492709, 1371492061, 1371492022, 1371491977, 1371491936, 1371491894, 1371491849, 1371488999, 1371488896, 1371488817, 1371488707, 1371488636, 1371488567, 1371486999, 1371486973, 1371486915, 1371486840, 1371486829, 1371486794, 1371485904, 1371485901, 1371485895, 1371485889, 1371485882, 1371485879, 1371485600, 1371485595, 1371485591, 1371485588, 1371485582, 1371485579] Looping around the photos to save general results len do output : 1 /24793024Didn'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, '3265880') ('4189', '24793024', '1371502913', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371502553', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371502466', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371502045', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501974', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501913', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501909', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501897', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501688', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501609', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501448', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501445', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501432', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501305', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501294', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501103', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371501026', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500995', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500845', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500840', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500766', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500672', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500635', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500519', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500494', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500385', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500325', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500092', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500031', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371500025', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371499714', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371499708', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371499701', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371499692', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371499677', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371499672', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371497861', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371497821', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371495603', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371495561', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371495518', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371495473', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371495464', None, None, None, None, None, '3265880') ('4189', 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('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371486829', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371486794', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371485904', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371485901', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371485895', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371485889', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371485882', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371485879', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371485600', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371485595', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371485591', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371485588', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371485582', None, None, None, None, None, '3265880') ('4189', None, None, None, None, None, None, None, '3265880') ('4189', '24793024', '1371485579', None, None, None, None, None, '3265880') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 87 time used for this insertion : 0.025288820266723633 save_final save missing photos in datou_result : time spend for datou_step_exec : 4.858524799346924 time spend to save output : 0.0259854793548584 total time spend for step 1 : 4.884510278701782 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 1 set_done_treatment 1.43user 0.54system 0:07.05elapsed 28%CPU (0avgtext+0avgdata 104276maxresident)k 216inputs+336outputs (0major+49258minor)pagefaults 0swaps