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 : 1119487 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: {} Date 2026-04-23 16:00:29.951840 Current got : datou_id : 4189, datou_cur_ids : ['4376904'] with mtr_portfolio_ids : ['31016136'] and first list_photo_ids : [] new path : /proc/1119487/ 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 : 0.02462029457092285 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Apr 23 16:00:30 2026 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', 37), ('14', 87)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 90} 23042026 31016136 Nombre de photos uploadées : 124 / 23040 (0%) 23042026 31016136 Nombre de photos taguées (types de déchets): 90 / 124 (72%) 23042026 31016136 Nombre de photos taguées (volume) : 90 / 124 (72%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 4.38690185546875e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL?????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.006974697113037109 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.2586095333099365 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.03354644775390625 Creating list_photo_total elapsed_time : select_descriptors 3.9511680603027344 23042026 31016136 Nombre de photos avec descriptors (type 5680) : 73 / 107 (68%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1416273295 photo_id_prec : 0 0:00:00|ON:LMissing descriptors for photos 1416273296 and 1416273297 LMissing descriptors for photos 1416273297 and 1416273298 LLLLL0:00:59.989256|OFF:L0:00:00|ON:LLL0:00:00|OFF:L0:00:00|ON:LLL0:00:59.977045|OFF:LLL0:00:00|ON:Missing descriptors for photos 1416275586 and 1416275587 LMissing descriptors for photos 1416275587 and 1416275809 LMissing descriptors for photos 1416275809 and 1416275810 LLLL0:00:59.972904|OFF:LLL0:00:00|ON:LLLL0:08:00.034998|OFF:LLLLL0:10:59.937106|ON:LLL0:04:00.835378|OFF:LLLLLLLLLLLL3:33:59.331355|ON:LL0:01:59.847765|OFF:0:01:00.846178|ON:LMissing descriptors for photos 1416287546 and 1416287547 LMissing descriptors for photos 1416287547 and 1416287548 LLMissing descriptors for photos 1416287550 and 1416287551 LMissing descriptors for photos 1416287551 and 1416287562 LMissing descriptors for photos 1416287562 and 1416287563 LMissing descriptors for photos 1416287563 and 1416287564 LMissing descriptors for photos 1416287564 and 1416287565 LMissing descriptors for photos 1416287565 and 1416287566 LMissing descriptors for photos 1416287566 and 1416287567 LMissing descriptors for photos 1416287567 and 1416287642 LMissing descriptors for photos 1416287642 and 1416287643 LMissing descriptors for photos 1416287643 and 1416287644 LMissing descriptors for photos 1416287644 and 1416287645 LMissing descriptors for photos 1416287645 and 1416287646 LMissing descriptors for photos 1416287646 and 1416287648 LMissing descriptors for photos 1416287648 and 1416287994 LMissing descriptors for photos 1416287994 and 1416287996 LMissing descriptors for photos 1416287996 and 1416287998 LMissing descriptors for photos 1416287998 and 1416287999 LMissing descriptors for photos 1416287999 and 1416288000 LMissing descriptors for photos 1416288000 and 1416288001 LMissing descriptors for photos 1416288001 and 1416288012 LMissing descriptors for photos 1416288012 and 1416288013 LMissing descriptors for photos 1416288013 and 1416288139 LMissing descriptors for photos 1416288139 and 1416288302 LMissing descriptors for photos 1416288302 and 1416288310 LMissing descriptors for photos 1416288310 and 1416288328 LMissing descriptors for photos 1416288328 and 1416289079 LMissing descriptors for photos 1416289079 and 1416289131 LMissing descriptors for photos 1416289131 and 1416289140 LMissing descriptors for photos 1416289140 and 1416289187 LMissing descriptors for photos 1416289187 and 1416289194 LMissing descriptors for photos 1416289194 and 1416289195 LMissing descriptors for photos 1416289195 and 1416289303 LMissing descriptors for photos 1416289303 and 1416289304 LMissing descriptors for photos 1416289304 and 1416289306 LMissing descriptors for photos 1416289306 and 1416289307 L 23042026 Removing 17 photos because of the 'same image' condition Total on : 1020.657346 list_time_on Total off : 13560.114639 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 124 time used for this insertion : 0.03520917892456055 photos_removed : len 17 elapsed_time : remove_photo_duplicate 0.07454991340637207 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.009126424789428711 NUMBER BATCH : 3 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR 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 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 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': '23042026', 'map_nb_amount': {0: 6, 1: 41, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 842.1751329898834, 'nb_balles_papier': 0.0004700000000000006, 'begin_time_port': 'image_23042026_14_00_02_433400m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004700000000000006 We have rejected 9 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 1 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`=31017326 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 3.151113510131836 # DISPLAY ALL COLLECTED DATA : {'23042026': {'nb_upload': 124, 'nb_taggue_class': 90, 'nb_taggue_densite': 90, 'nb_descriptors': 73}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1416289307, 1416289306, 1416289304, 1416289303, 1416289195, 1416289194, 1416289187, 1416289140, 1416289131, 1416289079, 1416288328, 1416288310, 1416288302, 1416288139, 1416288013, 1416288012, 1416288001, 1416288000, 1416287999, 1416287998, 1416287996, 1416287994, 1416287648, 1416287646, 1416287645, 1416287644, 1416287643, 1416287642, 1416287567, 1416287566, 1416287565, 1416287564, 1416287563, 1416287562, 1416287551, 1416287550, 1416287549, 1416287548, 1416287547, 1416287546, 1416287530, 1416287529, 1416287528, 1416287527, 1416287526, 1416287525, 1416287518, 1416287517, 1416287516, 1416287515, 1416287513, 1416287512, 1416285356, 1416285355, 1416285354, 1416285353, 1416285352, 1416285351, 1416284666, 1416284665, 1416284664, 1416284663, 1416284661, 1416284659, 1416284651, 1416284649, 1416284647, 1416284646, 1416284644, 1416284643, 1416283211, 1416283210, 1416283208, 1416283206, 1416283205, 1416283204, 1416283192, 1416283191, 1416283189, 1416283188, 1416283187, 1416283186, 1416283175, 1416283174, 1416283173, 1416283172, 1416283170, 1416276556, 1416276554, 1416276550, 1416276549, 1416276548, 1416276547, 1416276546, 1416276545, 1416276520, 1416276518, 1416276517, 1416276516, 1416276515] Looping around the photos to save general results len do output : 1 /31016136Didn'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, '4376904') ('4189', '31016136', '1416289307', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416289306', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416289304', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416289303', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416289195', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416289194', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416289187', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416289140', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416289131', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416289079', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416288328', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416288310', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416288302', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416288139', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416288013', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416288012', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416288001', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416288000', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287999', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287998', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287996', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287994', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287648', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287646', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287645', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287644', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287643', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287642', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287567', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287566', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287565', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287564', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287563', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287562', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416287551', 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'31016136', '1416276547', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416276546', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416276545', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416276520', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416276518', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416276517', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416276516', None, None, None, None, None, '4376904') ('4189', None, None, None, None, None, None, None, '4376904') ('4189', '31016136', '1416276515', None, None, None, None, None, '4376904') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.0276792049407959 save_final save missing photos in datou_result : time spend for datou_step_exec : 7.5878746509552 time spend to save output : 0.0284731388092041 total time spend for step 1 : 7.616347789764404 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 1 set_done_treatment 1.39user 0.76system 0:11.81elapsed 18%CPU (0avgtext+0avgdata 110344maxresident)k 152inputs+664outputs (62major+53223minor)pagefaults 0swaps