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 : 364222 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 updating current state to 1 list_input_json: [] Current got : datou_id : 4189, datou_cur_ids : ['4329368'] with mtr_portfolio_ids : ['30090300'] and first list_photo_ids : [] new path : /proc/364222/ 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 : 0.03889322280883789 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Tue Jan 13 08:40:29 2026 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('10', 157),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 144} 12012026 30090300 Nombre de photos uploadées : 157 / 23040 (0%) 12012026 30090300 Nombre de photos taguées (types de déchets): 144 / 157 (91%) 12012026 30090300 Nombre de photos taguées (volume) : 144 / 157 (91%) elapsed_time : load_data_split_time_score 4.291534423828125e-06 elapsed_time : order_list_meta_photo_and_scores 9.322166442871094e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL????????????? elapsed_time : fill_and_build_computed_from_old_data 0.017487049102783203 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.2578318119049072 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 elapsed_time : list_photo_by_hashtags 0.04086732864379883 Creating list_photo_total elapsed_time : select_descriptors 11.621783018112183 12012026 30090300 Nombre de photos avec descriptors (type 5680) : 141 / 154 (91%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1403494702 photo_id_prec : 0 0:00:00|ON:LLLLLLLLLLLLLLLLLLLLLL0:05:59.249278|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:08:00.655184|ON:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:06:59.878891|OFF:L0:00:00|ON:LLLLLLLLLLLERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1403509135 photo_id_prec : 1403508973 LMissing descriptors for photos 1403509135 and 1403509137 LMissing descriptors for photos 1403509137 and 1403509139 LMissing descriptors for photos 1403509139 and 1403509141 LMissing descriptors for photos 1403509141 and 1403509143 LMissing descriptors for photos 1403509143 and 1403509145 LMissing descriptors for photos 1403509145 and 1403509172 LMissing descriptors for photos 1403509172 and 1403509290 LMissing descriptors for photos 1403509290 and 1403509291 LMissing descriptors for photos 1403509291 and 1403509292 LMissing descriptors for photos 1403509292 and 1403509293 LMissing descriptors for photos 1403509293 and 1403509294 LMissing descriptors for photos 1403509294 and 1403509295 LERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1403606615 photo_id_prec : 1403509295 LLLMissing descriptors for photos 1403606624 and 1403606625 LMissing descriptors for photos 1403606625 and 1403606626 LL 12012026 Removing 46 photos because of the 'same image' condition Total on : 779.1281690000001 list_time_on Total off : 480.655184 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 157 time used for this insertion : 0.054859161376953125 photos_removed : len 46 elapsed_time : remove_photo_duplicate 0.09624075889587402 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.010078668594360352 NUMBER BATCH : 2 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLresult_one_balle_Type_JRM:{'day': '12012026', 'map_nb_amount': {0: 3, 1: 40, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.9044620990753, 'nb_balles_papier': 0.0004300000000000005, 'begin_time_port': 'image_12012026_10_00_03_109289m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004300000000000005 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR 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 LLLLLresult_one_balle_Type_JRM:{'day': '12012026', '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': 660.1117630004883, 'nb_balles_papier': 0.0005200000000000007, 'begin_time_port': 'image_12012026_10_15_02_613295_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005200000000000007 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 2 list_same_port_ids : [] list_same_port_ids : [] # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=30098925 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`=30098926 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 7.085130214691162 # DISPLAY ALL COLLECTED DATA : {'12012026': {'nb_upload': 157, 'nb_taggue_class': 144, 'nb_taggue_densite': 144, 'nb_descriptors': 141}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1403606627, 1403606626, 1403606625, 1403606624, 1403606622, 1403606615, 1403509295, 1403509294, 1403509293, 1403509292, 1403509291, 1403509290, 1403509172, 1403509145, 1403509143, 1403509141, 1403509139, 1403509137, 1403509135, 1403508973, 1403508971, 1403508969, 1403508966, 1403508963, 1403508953, 1403508699, 1403508691, 1403508689, 1403508688, 1403508687, 1403508681, 1403508473, 1403508471, 1403508468, 1403508465, 1403508462, 1403508450, 1403507291, 1403507288, 1403507286, 1403507283, 1403507278, 1403507276, 1403507034, 1403507032, 1403507029, 1403507026, 1403507015, 1403507013, 1403506773, 1403506771, 1403506770, 1403506769, 1403506759, 1403506756, 1403506533, 1403506528, 1403506525, 1403506522, 1403506521, 1403506516, 1403506209, 1403506207, 1403506205, 1403506203, 1403506202, 1403506197, 1403503519, 1403503505, 1403503502, 1403503500, 1403503497, 1403503495, 1403502963, 1403502945, 1403502944, 1403502941, 1403502938, 1403502936, 1403502207, 1403502204, 1403502202, 1403502199, 1403502197, 1403502196, 1403502082, 1403502080, 1403502076, 1403502073, 1403502070, 1403502068, 1403501937, 1403501934, 1403501931, 1403501929, 1403501925, 1403501923, 1403500853, 1403500851, 1403500849] Looping around the photos to save general results len do output : 1 /30090300Didn'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, '4329368') ('4189', '30090300', '1403606627', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403606626', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403606625', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403606624', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403606622', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403606615', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509295', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509294', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509293', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509292', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509291', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509290', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509172', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509145', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509143', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509141', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509139', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509137', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403509135', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508973', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508971', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508969', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508966', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508963', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508953', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508699', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508691', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508689', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508688', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508687', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508681', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508473', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508471', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508468', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508465', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508462', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403508450', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403507291', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403507288', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403507286', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403507283', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403507278', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403507276', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403507034', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403507032', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403507029', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403507026', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403507015', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403507013', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506773', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506771', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506770', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506769', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506759', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506756', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506533', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506528', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506525', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506522', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506521', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506516', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506209', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506207', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506205', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506203', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506202', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403506197', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403503519', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403503505', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403503502', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403503500', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403503497', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403503495', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502963', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502945', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502944', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502941', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502938', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502936', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502207', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502204', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502202', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502199', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502197', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502196', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502082', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502080', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502076', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502073', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502070', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403502068', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403501937', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403501934', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403501931', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403501929', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403501925', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403501923', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403500853', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403500851', None, None, None, None, None, '4329368') ('4189', None, None, None, None, None, None, None, '4329368') ('4189', '30090300', '1403500849', None, None, None, None, None, '4329368') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.05349278450012207 save_final save missing photos in datou_result : time spend for datou_step_exec : 19.26627492904663 time spend to save output : 0.054271697998046875 total time spend for step 1 : 19.320546627044678 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 0.55system 0:23.25elapsed 11%CPU (0avgtext+0avgdata 112096maxresident)k 24inputs+1224outputs (1major+52815minor)pagefaults 0swaps