python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4891' -s datou_current_4891 -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 : 2194831 load datou : 4891 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! Unexpected type for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : None was removed should we ? donnée sous forme de texte was removed should we ? [ptf_id0,ptf_id1...] was removed should we ? load thcls load pdts Running datou job : batch_current TODO datou_current to load to do maybe to take outside batchDatouExec no input labels no input values updating current state to 1 list_input_json: {} Date 2026-03-16 00:00:29.860994 Current got : datou_id : 4891, datou_cur_ids : ['4362349'] with mtr_portfolio_ids : ['30754845'] and first list_photo_ids : [] new path : /proc/2194831/ 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 , we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.019237041473388672 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Mar 16 00:00:29 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': 3892, 'mtr_user_id': 31, 'name': 'learn_MM_generique_26022025', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '17736100,17736101,17736102,17736103,17736104,20837895,20837896,17736107,17736108,17736109,17736110,18876169', 'photo_hashtag_type': 4989, 'photo_desc_type': 6092, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] 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'}] (('00', 4), ('01', 4), ('02', 4), ('03', 3), ('04', 4), ('05', 4), ('06', 5), ('07', 2), ('08', 3), ('09', 3), ('10', 4), ('11', 4), ('12', 5), ('13', 4), ('14', 4), ('15', 4), ('16', 5), ('17', 5), ('18', 4), ('19', 5), ('20', 2), ('21', 3), ('22', 1)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 86} 15032026 30754845 Nombre de photos uploadées : 86 / 23040 (0%) 15032026 30754845 Nombre de photos taguées (types de déchets): 86 / 86 (100%) 15032026 30754845 Nombre de photos taguées (volume) : 86 / 86 (100%) elapsed_time : load_data_split_time_score 1.6689300537109375e-06 elapsed_time : order_list_meta_photo_and_scores 4.076957702636719e-05 elapsed_time : fill_and_build_computed_from_old_data 0.005650758743286133 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.2068769931793213 Creating list_photo_total elapsed_time : select_descriptors 0.006510496139526367 15032026 30754845 Nombre de photos avec descriptors (type 6092) : 0 / 0 (0%) Missing descriptors for photos 0 and 1412283017 0:00:00|ON:Missing descriptors for photos 1412283017 and 1412283041 Missing descriptors for photos 1412283041 and 1412283057 Missing descriptors for photos 1412283057 and 1412283069 Missing descriptors for photos 1412283069 and 1412285965 Missing descriptors for photos 1412285965 and 1412285979 Missing descriptors for photos 1412285979 and 1412285994 Missing descriptors for photos 1412285994 and 1412286008 Missing descriptors for photos 1412286008 and 1412287212 Missing descriptors for photos 1412287212 and 1412290476 Missing descriptors for photos 1412290476 and 1412290490 Missing descriptors for photos 1412290490 and 1412290584 Missing descriptors for photos 1412290584 and 1412292742 Missing descriptors for photos 1412292742 and 1412292758 Missing descriptors for photos 1412292758 and 1412292782 Missing descriptors for photos 1412292782 and 1412295488 Missing descriptors for photos 1412295488 and 1412295579 Missing descriptors for photos 1412295579 and 1412295779 Missing descriptors for photos 1412295779 and 1412295863 Missing descriptors for photos 1412295863 and 1412298501 Missing descriptors for photos 1412298501 and 1412298543 Missing descriptors for photos 1412298543 and 1412298565 Missing descriptors for photos 1412298565 and 1412298581 Missing descriptors for photos 1412298581 and 1412300497 Missing descriptors for photos 1412300497 and 1412300998 Missing descriptors for photos 1412300998 and 1412301015 Missing descriptors for photos 1412301015 and 1412301036 Missing descriptors for photos 1412301036 and 1412301057 Missing descriptors for photos 1412301057 and 1412303495 Missing descriptors for photos 1412303495 and 1412303528 Missing descriptors for photos 1412303528 and 1412305541 Missing descriptors for photos 1412305541 and 1412305579 Missing descriptors for photos 1412305579 and 1412305638 Missing descriptors for photos 1412305638 and 1412307786 Missing descriptors for photos 1412307786 and 1412307805 Missing descriptors for photos 1412307805 and 1412308192 Missing descriptors for photos 1412308192 and 1412311398 Missing descriptors for photos 1412311398 and 1412311429 Missing descriptors for photos 1412311429 and 1412311452 Missing descriptors for photos 1412311452 and 1412312086 Missing descriptors for photos 1412312086 and 1412314001 Missing descriptors for photos 1412314001 and 1412314031 Missing descriptors for photos 1412314031 and 1412314063 Missing descriptors for photos 1412314063 and 1412314092 Missing descriptors for photos 1412314092 and 1412316029 Missing descriptors for photos 1412316029 and 1412316691 Missing descriptors for photos 1412316691 and 1412316717 Missing descriptors for photos 1412316717 and 1412316747 Missing descriptors for photos 1412316747 and 1412316770 Missing descriptors for photos 1412316770 and 1412318800 Missing descriptors for photos 1412318800 and 1412319766 Missing descriptors for photos 1412319766 and 1412319799 Missing descriptors for photos 1412319799 and 1412319843 Missing descriptors for photos 1412319843 and 1412322637 Missing descriptors for photos 1412322637 and 1412322663 Missing descriptors for photos 1412322663 and 1412322719 Missing descriptors for photos 1412322719 and 1412323657 Missing descriptors for photos 1412323657 and 1412324302 Missing descriptors for photos 1412324302 and 1412324322 Missing descriptors for photos 1412324322 and 1412324354 Missing descriptors for photos 1412324354 and 1412324384 Missing descriptors for photos 1412324384 and 1412326453 Missing descriptors for photos 1412326453 and 1412328575 Missing descriptors for photos 1412328575 and 1412328610 Missing descriptors for photos 1412328610 and 1412328633 Missing descriptors for photos 1412328633 and 1412328667 Missing descriptors for photos 1412328667 and 1412329980 Missing descriptors for photos 1412329980 and 1412331084 Missing descriptors for photos 1412331084 and 1412331150 Missing descriptors for photos 1412331150 and 1412331174 Missing descriptors for photos 1412331174 and 1412331205 Missing descriptors for photos 1412331205 and 1412333055 Missing descriptors for photos 1412333055 and 1412333085 Missing descriptors for photos 1412333085 and 1412333119 Missing descriptors for photos 1412333119 and 1412333154 Missing descriptors for photos 1412333154 and 1412334842 Missing descriptors for photos 1412334842 and 1412334875 Missing descriptors for photos 1412334875 and 1412334905 Missing descriptors for photos 1412334905 and 1412334928 Missing descriptors for photos 1412334928 and 1412334962 Missing descriptors for photos 1412334962 and 1412337072 Missing descriptors for photos 1412337072 and 1412337132 Missing descriptors for photos 1412337132 and 1412337189 Missing descriptors for photos 1412337189 and 1412337209 Missing descriptors for photos 1412337209 and 1412337235 Missing descriptors for photos 1412337235 and 1412343733 15032026 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 Warning in study_and_display_distrib_list : min=max : -1 -1 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 86 time used for this insertion : 0.024460554122924805 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.04984545707702637 Creating list_photo_total elapsed_time : count_sum_diff_and_build_graph 0.00079345703125 Total photos : 86 .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info Total photos : 86 Number of lists : 0 counter photos in port : 0 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 0 photos in 0 portfolios ! hashtag : film_pedb(2107760237) : 0 photos in 0 portfolios ! hashtag : flux_dev(2107760238) : 0 photos in 0 portfolios ! hashtag : jrm(495916461) : 0 photos in 0 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 0 photos in 0 portfolios ! hashtag : pehd_pp(2107760239) : 0 photos in 0 portfolios ! hashtag : pet_clair(2107755846) : 0 photos in 0 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 0 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.004957675933837891 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 4.5299530029296875e-06 today str has not a value , we define it as the date of the first image todaystr_first : 15032026 attention , prev_timestamp is 0 , we do nothing *************************************************************************************Count Time bigger than 30s : 85 #Number Photos for regression : {'15032026': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}}} 15032026|aluminium, 05102018_papier_non_papier_dense:0 15032026|aluminium, 05102018_papier_non_papier_peu_dense:0 15032026|aluminium, 05102018_papier_non_papier_presque_vide:0 15032026|aluminium, 05102018_papier_non_papier_tres_dense:0 15032026|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 15032026|ela, 05102018_papier_non_papier_dense:0 15032026|ela, 05102018_papier_non_papier_peu_dense:0 15032026|ela, 05102018_papier_non_papier_presque_vide:0 15032026|ela, 05102018_papier_non_papier_tres_dense:0 15032026|ela, 05102018_papier_non_papier_tres_peu_dense:0 15032026|emr, 05102018_papier_non_papier_dense:0 15032026|emr, 05102018_papier_non_papier_peu_dense:0 15032026|emr, 05102018_papier_non_papier_presque_vide:0 15032026|emr, 05102018_papier_non_papier_tres_dense:0 15032026|emr, 05102018_papier_non_papier_tres_peu_dense:0 15032026|film_pedb, 05102018_papier_non_papier_dense:0 15032026|film_pedb, 05102018_papier_non_papier_peu_dense:0 15032026|film_pedb, 05102018_papier_non_papier_presque_vide:0 15032026|film_pedb, 05102018_papier_non_papier_tres_dense:0 15032026|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 15032026|flux_dev, 05102018_papier_non_papier_dense:0 15032026|flux_dev, 05102018_papier_non_papier_peu_dense:0 15032026|flux_dev, 05102018_papier_non_papier_presque_vide:0 15032026|flux_dev, 05102018_papier_non_papier_tres_dense:0 15032026|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 15032026|jrm, 05102018_papier_non_papier_dense:0 15032026|jrm, 05102018_papier_non_papier_peu_dense:0 15032026|jrm, 05102018_papier_non_papier_presque_vide:0 15032026|jrm, 05102018_papier_non_papier_tres_dense:0 15032026|jrm, 05102018_papier_non_papier_tres_peu_dense:0 15032026|pcm, 05102018_papier_non_papier_dense:0 15032026|pcm, 05102018_papier_non_papier_peu_dense:0 15032026|pcm, 05102018_papier_non_papier_presque_vide:0 15032026|pcm, 05102018_papier_non_papier_tres_dense:0 15032026|pcm, 05102018_papier_non_papier_tres_peu_dense:0 15032026|pcnc, 05102018_papier_non_papier_dense:0 15032026|pcnc, 05102018_papier_non_papier_peu_dense:0 15032026|pcnc, 05102018_papier_non_papier_presque_vide:0 15032026|pcnc, 05102018_papier_non_papier_tres_dense:0 15032026|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 15032026|pehd_pp, 05102018_papier_non_papier_dense:0 15032026|pehd_pp, 05102018_papier_non_papier_peu_dense:0 15032026|pehd_pp, 05102018_papier_non_papier_presque_vide:0 15032026|pehd_pp, 05102018_papier_non_papier_tres_dense:0 15032026|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 15032026|pet_clair, 05102018_papier_non_papier_dense:0 15032026|pet_clair, 05102018_papier_non_papier_peu_dense:0 15032026|pet_clair, 05102018_papier_non_papier_presque_vide:0 15032026|pet_clair, 05102018_papier_non_papier_tres_dense:0 15032026|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 15032026|refus, 05102018_papier_non_papier_dense:0 15032026|refus, 05102018_papier_non_papier_peu_dense:0 15032026|refus, 05102018_papier_non_papier_presque_vide:0 15032026|refus, 05102018_papier_non_papier_tres_dense:0 15032026|refus, 05102018_papier_non_papier_tres_peu_dense:0 15032026|tapis_vide, 05102018_papier_non_papier_dense:0 15032026|tapis_vide, 05102018_papier_non_papier_peu_dense:0 15032026|tapis_vide, 05102018_papier_non_papier_presque_vide:0 15032026|tapis_vide, 05102018_papier_non_papier_tres_dense:0 15032026|tapis_vide, 05102018_papier_non_papier_tres_peu_dense:0 #Number Photos for regression amount gros magasin papier (time_diff then nb_photo) : We have not displayed the number of photos removed for one material since Rungis_Papier wasn't in the thcl used ! Number amount portfolio for this type of dechet : aluminium 0 Number amount portfolio for this type of dechet : ela 0 Number amount portfolio for this type of dechet : emr 0 Number amount portfolio for this type of dechet : film_pedb 0 Number amount portfolio for this type of dechet : flux_dev 0 Number amount portfolio for this type of dechet : jrm 0 Number amount portfolio for this type of dechet : pcm 0 Number amount portfolio for this type of dechet : pcnc 0 Number amount portfolio for this type of dechet : pehd_pp 0 Number amount portfolio for this type of dechet : pet_clair 0 Number amount portfolio for this type of dechet : refus 0 Number amount portfolio for this type of dechet : tapis_vide 0 NUMBER BATCH : 0 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['emr', 'gm', 'jrm', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev', 'aluminium', 'tapis_vide', 'refus', 'emr', 'gm'] We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.053082942962646484 # DISPLAY ALL COLLECTED DATA : {'15032026': {'nb_upload': 86, 'nb_taggue_class': 86, 'nb_taggue_densite': 86, 'nb_descriptors': 0, 'number_port': 0, 'count_photo_in_port': 0, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 0, 'nb_portfolios': 0}, 'film_pedb': {'nb_photos': 0, 'nb_portfolios': 0}, 'flux_dev': {'nb_photos': 0, 'nb_portfolios': 0}, 'jrm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 0, 'nb_portfolios': 0}, 'pehd_pp': {'nb_photos': 0, 'nb_portfolios': 0}, 'pet_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1412343733, 1412337235, 1412337209, 1412337189, 1412337132, 1412337072, 1412334962, 1412334928, 1412334905, 1412334875, 1412334842, 1412333154, 1412333119, 1412333085, 1412333055, 1412331205, 1412331174, 1412331150, 1412331084, 1412329980, 1412328667, 1412328633, 1412328610, 1412328575, 1412326453, 1412324384, 1412324354, 1412324322, 1412324302, 1412323657, 1412322719, 1412322663, 1412322637, 1412319843, 1412319799, 1412319766, 1412318800, 1412316770, 1412316747, 1412316717, 1412316691, 1412316029, 1412314092, 1412314063, 1412314031, 1412314001, 1412312086, 1412311452, 1412311429, 1412311398, 1412308192, 1412307805, 1412307786, 1412305638, 1412305579, 1412305541, 1412303528, 1412303495, 1412301057, 1412301036, 1412301015, 1412300998, 1412300497, 1412298581, 1412298565, 1412298543, 1412298501, 1412295863, 1412295779, 1412295579, 1412295488, 1412292782, 1412292758, 1412292742, 1412290584, 1412290490, 1412290476, 1412287212, 1412286008, 1412285994, 1412285979, 1412285965, 1412283069, 1412283057, 1412283041, 1412283017] Looping around the photos to save general results len do output : 1 /30754845Didn'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 ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412343733', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412337235', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412337209', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412337189', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412337132', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412337072', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412334962', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412334928', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412334905', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412334875', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412334842', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412333154', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412333119', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412333085', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412333055', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412331205', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412331174', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412331150', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412331084', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412329980', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412328667', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412328633', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412328610', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412328575', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412326453', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412324384', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412324354', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412324322', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412324302', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412323657', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412322719', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412322663', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412322637', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412319843', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412319799', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412319766', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412318800', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412316770', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412316747', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412316717', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412316691', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412316029', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412314092', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412314063', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412314031', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412314001', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412312086', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412311452', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412311429', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412311398', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412308192', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412307805', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412307786', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412305638', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412305579', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412305541', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412303528', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412303495', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412301057', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412301036', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412301015', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412300998', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412300497', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412298581', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412298565', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412298543', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412298501', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412295863', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412295779', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412295579', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412295488', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412292782', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412292758', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412292742', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412290584', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412290490', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412290476', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412287212', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412286008', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412285994', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412285979', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412285965', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412283069', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412283057', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412283041', None, None, None, None, None, '4362349') ('4891', None, None, None, None, None, None, None, '4362349') ('4891', '30754845', '1412283017', None, None, None, None, None, '4362349') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 87 time used for this insertion : 0.04812335968017578 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.43432021141052246 time spend to save output : 0.0488736629486084 total time spend for step 1 : 0.48319387435913086 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 1.25user 0.51system 0:04.54elapsed 38%CPU (0avgtext+0avgdata 109312maxresident)k 0inputs+72outputs (0major+64358minor)pagefaults 0swaps