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 : 915674 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 : ['2807787'] with mtr_portfolio_ids : ['22797191'] and first list_photo_ids : [] new path : /proc/915674/ 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 : 0.0255129337310791 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu May 8 14:00:29 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', 207),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 201} 08052025 22797191 Nombre de photos uploadées : 207 / 23040 (0%) 08052025 22797191 Nombre de photos taguées (types de déchets): 201 / 207 (97%) 08052025 22797191 Nombre de photos taguées (volume) : 201 / 207 (97%) elapsed_time : load_data_split_time_score 3.814697265625e-06 elapsed_time : order_list_meta_photo_and_scores 9.894371032714844e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL?????? elapsed_time : fill_and_build_computed_from_old_data 0.01305079460144043 elapsed_time : insert_dashboard_record_day_entry 0.024344205856323242 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.030034303665161133 Creating list_photo_total elapsed_time : select_descriptors 7.622302770614624 08052025 22797191 Nombre de photos avec descriptors (type 5680) : 156 / 162 (96%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1356973335 photo_id_prec : 0 0:00:00|ON:LMissing descriptors for photos 1356978402 and 1356978405 LLMissing descriptors for photos 1356979258 and 1356979338 LMissing descriptors for photos 1356979338 and 1356979414 LLLMissing descriptors for photos 1356981920 and 1356981957 LLMissing descriptors for photos 1356981979 and 1356981987 LMissing descriptors for photos 1356981987 and 1356981993 LMissing descriptors for photos 1356981993 and 1356982272 LMissing descriptors for photos 1356982272 and 1356982279 LMissing descriptors for photos 1356982279 and 1356982285 LMissing descriptors for photos 1356982285 and 1356982290 LLMissing descriptors for photos 1356982299 and 1356982599 LMissing descriptors for photos 1356982599 and 1356982603 LMissing descriptors for photos 1356982603 and 1356982607 LMissing descriptors for photos 1356982607 and 1356982611 LLMissing descriptors for photos 1356982615 and 1356982947 LMissing descriptors for photos 1356982947 and 1356982950 LMissing descriptors for photos 1356982950 and 1356982953 LMissing descriptors for photos 1356982953 and 1356982955 LMissing descriptors for photos 1356982955 and 1356982957 LMissing descriptors for photos 1356982957 and 1356982961 LMissing descriptors for photos 1356982961 and 1356983318 LMissing descriptors for photos 1356983318 and 1356983329 LMissing descriptors for photos 1356983329 and 1356983335 LMissing descriptors for photos 1356983335 and 1356983338 LMissing descriptors for photos 1356983338 and 1356983341 LMissing descriptors for photos 1356983341 and 1356983344 LMissing descriptors for photos 1356983344 and 1356984687 LMissing descriptors for photos 1356984687 and 1356984691 LMissing descriptors for photos 1356984691 and 1356984698 LMissing descriptors for photos 1356984698 and 1356984704 LMissing descriptors for photos 1356984704 and 1356984709 LMissing descriptors for photos 1356984709 and 1356984712 LMissing descriptors for photos 1356984712 and 1356985036 LMissing descriptors for photos 1356985036 and 1356985040 LMissing descriptors for photos 1356985040 and 1356985047 LMissing descriptors for photos 1356985047 and 1356985051 LMissing descriptors for photos 1356985051 and 1356985054 LMissing descriptors for photos 1356985054 and 1356985059 LLL0:16:59.940835|OFF:0:00:00|ON:LL0:03:59.901246|OFF:LLLLLLLLLLLLLL0:02:00.440724|ON:LLLLLLLLLLLLLL0:02:59.447106|OFF:LLLLLLL0:00:59.791148|ON:LL0:00:00|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:05:00.958969|ON:LL0:00:00|OFF:LLLLLLERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1357000713 photo_id_prec : 1357000130 L0:00:59.772420|ON:Missing descriptors for photos 1357000713 and 1357000753 LMissing descriptors for photos 1357000753 and 1357000791 LMissing descriptors for photos 1357000791 and 1357000827 LMissing descriptors for photos 1357000827 and 1357000868 LMissing descriptors for photos 1357000868 and 1357000939 L 08052025 Removing 46 photos because of the 'same image' condition Total on : 1439.289187 list_time_on Total off : 540.963261 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 207 time used for this insertion : 0.05258011817932129 photos_removed : len 46 elapsed_time : remove_photo_duplicate 0.09211897850036621 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.0119781494140625 NUMBER BATCH : 3 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': '08052025', 'map_nb_amount': {0: 2, 1: 48, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 659.888955116272, 'nb_balles_papier': 0.0005000000000000007, 'begin_time_port': 'image_08052025_10_00_02_662026m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005000000000000007 LLLLLLLLLLLLLLLLLLLLLLLLLLLresult_one_balle_Type_JRM:{'day': '08052025', 'map_nb_amount': {0: 5, 1: 50, 2: 1, 3: 3, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 659.391331911087, 'nb_balles_papier': 0.0005900000000000009, 'begin_time_port': 'image_08052025_10_16_02_791753m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005900000000000009 We have rejected 7 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 2 list_same_port_ids : [22798151] find same portfolio which already exist 22798151 , we will use it list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=JRM_diff_batch__08052025_10_16_02_791753&access_token=b05576c56a0e42ad0cb9b46155f68f82 Qualite : 0.11090084385296184 # 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`=22798151 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`=22799698 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 2.0920262336730957 # DISPLAY ALL COLLECTED DATA : {'08052025': {'nb_upload': 207, 'nb_taggue_class': 201, 'nb_taggue_densite': 201, 'nb_descriptors': 156}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1357000939, 1357000868, 1357000827, 1357000791, 1357000753, 1357000713, 1357000130, 1357000103, 1357000101, 1357000097, 1357000094, 1357000057, 1356999830, 1356999825, 1356999821, 1356999815, 1356999812, 1356999808, 1356999174, 1356999165, 1356999155, 1356999140, 1356999131, 1356999124, 1356998890, 1356998885, 1356998882, 1356998878, 1356998875, 1356998871, 1356998109, 1356998106, 1356998102, 1356998096, 1356998093, 1356998087, 1356997843, 1356997839, 1356997831, 1356997828, 1356997825, 1356997816, 1356997474, 1356997470, 1356997466, 1356997459, 1356997448, 1356997443, 1356997060, 1356997055, 1356997052, 1356997047, 1356997038, 1356997032, 1356993549, 1356993505, 1356993463, 1356993029, 1356993024, 1356993017, 1356993010, 1356993004, 1356992999, 1356992141, 1356992098, 1356992057, 1356992016, 1356991967, 1356991913, 1356991165, 1356991122, 1356991066, 1356991008, 1356990967, 1356990911, 1356988448, 1356988442, 1356988440, 1356988439, 1356988437, 1356988434, 1356988216, 1356988214, 1356988207, 1356988200, 1356988192, 1356988183, 1356987957, 1356987951, 1356987947, 1356987940, 1356987937, 1356987935, 1356987729, 1356987723, 1356987720, 1356987715, 1356987711, 1356987698, 1356987367] Looping around the photos to save general results len do output : 1 /22797191Didn'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, '2807787') ('4189', '22797191', '1357000939', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1357000868', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1357000827', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1357000791', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1357000753', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1357000713', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1357000130', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1357000103', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1357000101', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1357000097', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1357000094', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1357000057', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356999830', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356999825', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356999821', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356999815', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356999812', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356999808', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356999174', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356999165', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356999155', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356999140', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356999131', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356999124', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356998890', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356998885', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356998882', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356998878', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356998875', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356998871', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356998109', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356998106', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356998102', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356998096', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356998093', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356998087', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356997843', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356997839', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356997831', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356997828', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356997825', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356997816', None, None, None, None, None, 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None, None, None, None, None, '2807787') ('4189', '22797191', '1356997055', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356997052', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356997047', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356997038', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356997032', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356993549', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356993505', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, 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'1356992141', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356992098', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356992057', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356992016', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356991967', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356991913', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356991165', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356991122', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356991066', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356991008', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356990967', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356990911', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356988448', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356988442', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356988440', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356988439', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356988437', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356988434', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356988216', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356988214', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356988207', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356988200', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356988192', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356988183', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987957', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987951', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987947', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987940', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987937', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987935', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987729', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987723', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987720', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987715', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987711', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987698', None, None, None, None, None, '2807787') ('4189', None, None, None, None, None, None, None, '2807787') ('4189', '22797191', '1356987367', None, None, None, None, None, '2807787') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.0272979736328125 save_final save missing photos in datou_result : time spend for datou_step_exec : 9.992299318313599 time spend to save output : 0.028122901916503906 total time spend for step 1 : 10.020422220230103 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 1 set_done_treatment 2.02user 0.60system 0:13.00elapsed 20%CPU (0avgtext+0avgdata 103572maxresident)k 1032inputs+1344outputs (1major+49614minor)pagefaults 0swaps