elapsed_time : fill_and_build_computed_from_old_data 0.009460687637329102 elapsed_time : insert_dashboard_record_day_entry 0.024463891983032227 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 elapsed_time : list_photo_by_hashtags 0.022431373596191406 Creating list_photo_total elapsed_time : select_descriptors 9.167356967926025 10042025 22216438 Nombre de photos avec descriptors (type 5680) : 147 / 177 (83%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1351097857 photo_id_prec : 0 0:00:00|ON:0:04:00.117293|OFF:0:00:59.744023|ON:0:00:00|OFF:LL0:00:00|ON:0:03:00.114357|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:11:00.539164|ON:ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1351140013 photo_id_prec : 1351138459 LMissing descriptors for photos 1351140013 and 1351140044 LMissing descriptors for photos 1351140044 and 1351140062 LMissing descriptors for photos 1351140062 and 1351140069 LMissing descriptors for photos 1351140069 and 1351140076 LMissing descriptors for photos 1351140076 and 1351140099 LMissing descriptors for photos 1351140099 and 1351143072 LMissing descriptors for photos 1351143072 and 1351143127 LMissing descriptors for photos 1351143127 and 1351143179 LMissing descriptors for photos 1351143179 and 1351143191 LMissing descriptors for photos 1351143191 and 1351143231 LMissing descriptors for photos 1351143231 and 1351143273 LMissing descriptors for photos 1351143273 and 1351144756 LMissing descriptors for photos 1351144756 and 1351144760 LMissing descriptors for photos 1351144760 and 1351144767 LMissing descriptors for photos 1351144767 and 1351144780 LMissing descriptors for photos 1351144780 and 1351144785 LMissing descriptors for photos 1351144785 and 1351144790 LMissing descriptors for photos 1351144790 and 1351145444 LMissing descriptors for photos 1351145444 and 1351145476 LMissing descriptors for photos 1351145476 and 1351145516 LMissing descriptors for photos 1351145516 and 1351145558 LMissing descriptors for photos 1351145558 and 1351145572 LMissing descriptors for photos 1351145572 and 1351145594 LMissing descriptors for photos 1351145594 and 1351146094 LMissing descriptors for photos 1351146094 and 1351146102 LMissing descriptors for photos 1351146102 and 1351146118 LMissing descriptors for photos 1351146118 and 1351146153 LMissing descriptors for photos 1351146153 and 1351146177 LMissing descriptors for photos 1351146177 and 1351146244 L 10042025 Removing 72 photos because of the 'same image' condition Total on : 420.23165 list_time_on Total off : 720.283187 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 177 time used for this insertion : 0.03443789482116699 photos_removed : len 72 elapsed_time : remove_photo_duplicate 0.07483291625976562 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.011121749877929688 NUMBER BATCH : 2 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': '10042025', 'map_nb_amount': {0: 12, 1: 35, 2: 1, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 479.9756729602814, 'nb_balles_papier': 0.0004900000000000006, 'begin_time_port': 'image_10042025_10_00_02_614525m0.jpg 1e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004900000000000006 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR 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': '10042025', 'map_nb_amount': {0: 2, 1: 23, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 539.5236349105835, 'nb_balles_papier': 0.00026000000000000003, 'begin_time_port': 'image_10042025_10_19_03_129362m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00026000000000000003 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 2 list_same_port_ids : [22222838] find same portfolio which already exist 22222838 , we will use it list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=JRM_diff_batch__10042025_10_19_03_129362&access_token=b05576c56a0e42ad0cb9b46155f68f82 Qualite : 0.12130207050022564 # 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`=22222838 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`=22224018 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 4.414548873901367 # DISPLAY ALL COLLECTED DATA : {'10042025': {'nb_upload': 177, 'nb_taggue_class': 147, 'nb_taggue_densite': 147, 'nb_descriptors': 147}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1351146244, 1351146177, 1351146153, 1351146118, 1351146102, 1351146094, 1351145594, 1351145572, 1351145558, 1351145516, 1351145476, 1351145444, 1351144790, 1351144785, 1351144780, 1351144767, 1351144760, 1351144756, 1351143273, 1351143231, 1351143191, 1351143179, 1351143127, 1351143072, 1351140099, 1351140076, 1351140069, 1351140062, 1351140044, 1351140013, 1351138459, 1351138424, 1351138414, 1351138402, 1351138356, 1351138352, 1351137364, 1351137351, 1351137347, 1351137313, 1351137266, 1351137221, 1351135492, 1351135490, 1351135487, 1351135484, 1351135473, 1351135458, 1351134155, 1351134107, 1351134058, 1351134042, 1351134036, 1351134020, 1351133256, 1351133252, 1351133241, 1351133238, 1351133236, 1351133228, 1351132053, 1351131964, 1351131940, 1351131884, 1351131844, 1351131783, 1351130921, 1351130912, 1351130909, 1351130903, 1351130902, 1351130875, 1351129621, 1351129605, 1351129581, 1351129567, 1351129527, 1351129519, 1351126166, 1351126114, 1351126070, 1351126053, 1351125243, 1351125229, 1351125199, 1351125144, 1351125131, 1351125074, 1351123537, 1351123532, 1351123528, 1351123524, 1351123515, 1351123511, 1351122072, 1351122067, 1351122063, 1351122061, 1351122057, 1351122040] Looping around the photos to save general results len do output : 1 /22216438Didn'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, '2739623') ('4189', '22216438', '1351146244', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351146177', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351146153', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351146118', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351146102', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351146094', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351145594', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351145572', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351145558', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351145516', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351145476', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351145444', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351144790', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351144785', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351144780', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351144767', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351144760', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351144756', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351143273', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351143231', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351143191', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351143179', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351143127', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351143072', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351140099', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351140076', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351140069', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351140062', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351140044', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351140013', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351138459', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351138424', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351138414', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351138402', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351138356', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351138352', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351137364', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351137351', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351137347', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351137313', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351137266', None, None, None, None, None, '2739623') ('4189', None, None, None, None, None, None, None, '2739623') ('4189', '22216438', '1351137221', None, None, None, None, None, 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None, None, None, None, '2739623') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.027154207229614258 save_final save missing photos in datou_result : time spend for datou_step_exec : 13.824169158935547 time spend to save output : 0.027699947357177734 total time spend for step 1 : 13.851869106292725 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 1.92user 0.72system 0:17.26elapsed 15%CPU (0avgtext+0avgdata 103772maxresident)k 984inputs+1272outputs (0major+49428minor)pagefaults 0swaps