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 : 2882996 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 : ['2578931'] with mtr_portfolio_ids : ['20470722'] and first list_photo_ids : [] new path : /proc/2882996/ 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 : 0.01964712142944336 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Feb 12 10:30:30 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', 167),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 89} L12022025 20470722 Nombre de photos uploadées : 167 / 23040 (0%) 12022025 20470722 Nombre de photos taguées (types de déchets): 89 / 167 (53%) 12022025 20470722 Nombre de photos taguées (volume) : 89 / 167 (53%) elapsed_time : load_data_split_time_score 2.384185791015625e-06 elapsed_time : order_list_meta_photo_and_scores 5.340576171875e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL?????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.010266780853271484 L elapsed_time : insert_dashboard_record_day_entry 0.024416208267211914 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 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 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 0.02576732635498047 Creating list_photo_total elapsed_time : select_descriptors 2.2265329360961914 12022025 20470722 Nombre de photos avec descriptors (type 5680) : 45 / 123 (36%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1337055184 photo_id_prec : 0 L0:00:00|ON:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLMissing descriptors for photos 1337055698 and 1337055702 LMissing descriptors for photos 1337055702 and 1337055704 LMissing descriptors for photos 1337055704 and 1337055712 LMissing descriptors for photos 1337055712 and 1337055720 LLLMissing descriptors for photos 1337055935 and 1337056276 LLLMissing descriptors for photos 1337056830 and 1337056873 LMissing descriptors for photos 1337056873 and 1337056877 LMissing descriptors for photos 1337056877 and 1337056982 LMissing descriptors for photos 1337056982 and 1337057143 LLLMissing descriptors for photos 1337057159 and 1337057206 LMissing descriptors for photos 1337057206 and 1337057214 LLLMissing descriptors for photos 1337057334 and 1337057338 LMissing descriptors for photos 1337057338 and 1337057343 LMissing descriptors for photos 1337057343 and 1337057351 LMissing descriptors for photos 1337057351 and 1337057358 LMissing descriptors for photos 1337057358 and 1337057402 LMissing descriptors for photos 1337057402 and 1337057411 LMissing descriptors for photos 1337057411 and 1337057416 LMissing descriptors for photos 1337057416 and 1337057421 LMissing descriptors for photos 1337057421 and 1337057422 LMissing descriptors for photos 1337057422 and 1337057425 LMissing descriptors for photos 1337057425 and 1337057456 LMissing descriptors for photos 1337057456 and 1337057464 LMissing descriptors for photos 1337057464 and 1337057471 LMissing descriptors for photos 1337057471 and 1337057475 LLLMissing descriptors for photos 1337057481 and 1337057504 LLLMissing descriptors for photos 1337057514 and 1337057518 LMissing descriptors for photos 1337057518 and 1337057520 LLLMissing descriptors for photos 1337057548 and 1337057553 LMissing descriptors for photos 1337057553 and 1337057574 LMissing descriptors for photos 1337057574 and 1337057580 LMissing descriptors for photos 1337057580 and 1337057582 LMissing descriptors for photos 1337057582 and 1337057586 LMissing descriptors for photos 1337057586 and 1337057614 LMissing descriptors for photos 1337057614 and 1337057619 LLLLLLLLLLLERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1337058348 photo_id_prec : 1337058092 LMissing descriptors for photos 1337058348 and 1337058353 LMissing descriptors for photos 1337058353 and 1337058357 LMissing descriptors for photos 1337058357 and 1337058401 LMissing descriptors for photos 1337058401 and 1337058521 LMissing descriptors for photos 1337058521 and 1337058523 LMissing descriptors for photos 1337058523 and 1337058558 LMissing descriptors for photos 1337058558 and 1337058565 LMissing descriptors for photos 1337058565 and 1337058578 LMissing descriptors for photos 1337058578 and 1337058581 LMissing descriptors for photos 1337058581 and 1337058586 LMissing descriptors for photos 1337058586 and 1337058589 LMissing descriptors for photos 1337058589 and 1337058643 LMissing descriptors for photos 1337058643 and 1337058657 LMissing descriptors for photos 1337058657 and 1337058667 LMissing descriptors for photos 1337058667 and 1337058748 LMissing descriptors for photos 1337058748 and 1337058836 LMissing descriptors for photos 1337058836 and 1337058840 LMissing descriptors for photos 1337058840 and 1337058997 LMissing descriptors for photos 1337058997 and 1337059187 LMissing descriptors for photos 1337059187 and 1337059196 LMissing descriptors for photos 1337059196 and 1337059202 LMissing descriptors for photos 1337059202 and 1337059210 LMissing descriptors for photos 1337059210 and 1337059215 LMissing descriptors for photos 1337059215 and 1337059285 LMissing descriptors for photos 1337059285 and 1337059291 LMissing descriptors for photos 1337059291 and 1337059296 LMissing descriptors for photos 1337059296 and 1337059299 LMissing descriptors for photos 1337059299 and 1337059304 LMissing descriptors for photos 1337059304 and 1337059308 LMissing descriptors for photos 1337059308 and 1337059329 LMissing descriptors for photos 1337059329 and 1337059333 LMissing descriptors for photos 1337059333 and 1337059335 LMissing descriptors for photos 1337059335 and 1337059337 LMissing descriptors for photos 1337059337 and 1337059341 LMissing descriptors for photos 1337059341 and 1337059347 LMissing descriptors for photos 1337059347 and 1337059369 LMissing descriptors for photos 1337059369 and 1337059373 LMissing descriptors for photos 1337059373 and 1337059376 LMissing descriptors for photos 1337059376 and 1337059402 LMissing descriptors for photos 1337059402 and 1337059407 LMissing descriptors for photos 1337059407 and 1337059438 LMissing descriptors for photos 1337059438 and 1337059492 LMissing descriptors for photos 1337059492 and 1337059497 LMissing descriptors for photos 1337059497 and 1337059500 LMissing descriptors for photos 1337059500 and 1337059502 LMissing descriptors for photos 1337059502 and 1337059632 LMissing descriptors for photos 1337059632 and 1337059761 LMissing descriptors for photos 1337059761 and 1337060363 LMissing descriptors for photos 1337060363 and 1337060370 LMissing descriptors for photos 1337060370 and 1337060372 LMissing descriptors for photos 1337060372 and 1337060540 LMissing descriptors for photos 1337060540 and 1337060633 LMissing descriptors for photos 1337060633 and 1337060649 LMissing descriptors for photos 1337060649 and 1337060762 LMissing descriptors for photos 1337060762 and 1337060771 LMissing descriptors for photos 1337060771 and 1337060776 LMissing descriptors for photos 1337060776 and 1337060777 LMissing descriptors for photos 1337060777 and 1337060802 LMissing descriptors for photos 1337060802 and 1337060815 LMissing descriptors for photos 1337060815 and 1337060844 LMissing descriptors for photos 1337060844 and 1337060847 LMissing descriptors for photos 1337060847 and 1337060851 LMissing descriptors for photos 1337060851 and 1337060852 LMissing descriptors for photos 1337060852 and 1337060856 LMissing descriptors for photos 1337060856 and 1337060859 LMissing descriptors for photos 1337060859 and 1337060883 LMissing descriptors for photos 1337060883 and 1337060893 LMissing descriptors for photos 1337060893 and 1337060963 LMissing descriptors for photos 1337060963 and 1337060969 LMissing descriptors for photos 1337060969 and 1337060974 LMissing descriptors for photos 1337060974 and 1337060982 LMissing descriptors for photos 1337060982 and 1337061002 LMissing descriptors for photos 1337061002 and 1337061003 LMissing descriptors for photos 1337061003 and 1337061014 LMissing descriptors for photos 1337061014 and 1337061020 LMissing descriptors for photos 1337061020 and 1337061025 LMissing descriptors for photos 1337061025 and 1337061029 L 12022025 Removing 0 photos because of the 'same image' condition Total on : 0 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 167 time used for this insertion : 0.03274965286254883 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.06575584411621094 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.011235952377319336 NUMBER BATCH : 2 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR missing amount info LLresult_one_balle_Type_JRM:{'day': '12022025', 'map_nb_amount': {0: 1, 1: 42, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.5555551052094, 'nb_balles_papier': 0.00045000000000000053, 'begin_time_port': 'image_12022025_10_00_02_759878_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00045000000000000053 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! 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__12022025_10_00_02_759878&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`=20471704 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 2.0860702991485596 # DISPLAY ALL COLLECTED DATA : {'12022025': {'nb_upload': 167, 'nb_taggue_class': 89, 'nb_taggue_densite': 89, 'nb_descriptors': 45}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1337061029, 1337061025, 1337061020, 1337061014, 1337061003, 1337061002, 1337060982, 1337060974, 1337060969, 1337060963, 1337060893, 1337060883, 1337060859, 1337060856, 1337060852, 1337060851, 1337060847, 1337060844, 1337060815, 1337060802, 1337060777, 1337060776, 1337060771, 1337060762, 1337060649, 1337060633, 1337060540, 1337060372, 1337060370, 1337060363, 1337059761, 1337059632, 1337059502, 1337059500, 1337059497, 1337059492, 1337059438, 1337059407, 1337059402, 1337059376, 1337059373, 1337059369, 1337059347, 1337059341, 1337059337, 1337059335, 1337059333, 1337059329, 1337059308, 1337059304, 1337059299, 1337059296, 1337059291, 1337059285, 1337059215, 1337059210, 1337059202, 1337059196, 1337059187, 1337058997, 1337058840, 1337058836, 1337058748, 1337058667, 1337058657, 1337058643, 1337058589, 1337058586, 1337058581, 1337058578, 1337058565, 1337058558, 1337058523, 1337058521, 1337058401, 1337058357, 1337058353, 1337058348, 1337058092, 1337057963, 1337057823, 1337057778, 1337057753, 1337057683, 1337057634, 1337057631, 1337057626, 1337057623, 1337057619, 1337057614, 1337057586, 1337057582, 1337057580, 1337057574, 1337057553, 1337057548, 1337057523, 1337057520, 1337057518, 1337057514] Looping around the photos to save general results len do output : 1 /20470722Didn'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, '2578931') ('4189', '20470722', '1337061029', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337061025', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337061020', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337061014', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337061003', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337061002', None, None, 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('4189', '20470722', '1337060372', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337060370', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337060363', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337059761', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337059632', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337059502', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337059500', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337059497', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337059492', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337059438', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337059407', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337059402', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337059376', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337059373', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337059369', None, None, None, None, None, 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None, None, '2578931') ('4189', '20470722', '1337057631', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057626', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057623', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057619', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057614', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057586', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057582', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057580', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057574', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057553', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057548', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057523', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057520', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057518', None, None, None, None, None, '2578931') ('4189', None, None, None, None, None, None, None, '2578931') ('4189', '20470722', '1337057514', None, None, None, None, None, '2578931') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.16201305389404297 save_final save missing photos in datou_result : time spend for datou_step_exec : 4.555963754653931 time spend to save output : 0.16298151016235352 total time spend for step 1 : 4.718945264816284 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 1.64user 0.59system 0:08.66elapsed 25%CPU (0avgtext+0avgdata 102332maxresident)k 152inputs+448outputs (1major+54621minor)pagefaults 0swaps