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 : 3448207 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: {} Current got : datou_id : 4891, datou_cur_ids : ['3885781'] with mtr_portfolio_ids : ['27589362'] and first list_photo_ids : [] new path : /proc/3448207/ 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 : 0.053476572036743164 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Oct 8 14:30:29 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': 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', 3), ('01', 4), ('02', 3), ('03', 4), ('04', 4), ('05', 3), ('06', 4), ('07', 3), ('08', 4), ('09', 4), ('10', 3), ('11', 3), ('12', 5), ('13', 3), ('14', 2)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 51} 08102025 27589362 Nombre de photos uploadées : 52 / 23040 (0%) 08102025 27589362 Nombre de photos taguées (types de déchets): 51 / 52 (98%) 08102025 27589362 Nombre de photos taguées (volume) : 51 / 52 (98%) elapsed_time : load_data_split_time_score 2.6226043701171875e-06 elapsed_time : order_list_meta_photo_and_scores 2.574920654296875e-05 ? elapsed_time : fill_and_build_computed_from_old_data 0.0020303726196289062 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.710228681564331 Creating list_photo_total elapsed_time : select_descriptors 1.0140230655670166 08102025 27589362 Nombre de photos avec descriptors (type 6092) : 11 / 12 (91%) Missing descriptors for photos 0 and 1388140100 0:00:00|ON:Missing descriptors for photos 1388140100 and 1388140150 Missing descriptors for photos 1388140150 and 1388140207 Missing descriptors for photos 1388140207 and 1388140257 Missing descriptors for photos 1388140257 and 1388140310 Missing descriptors for photos 1388140310 and 1388140368 Missing descriptors for photos 1388140368 and 1388140674 Missing descriptors for photos 1388140674 and 1388140721 Missing descriptors for photos 1388140721 and 1388140731 Missing descriptors for photos 1388140731 and 1388141094 Missing descriptors for photos 1388141094 and 1388141106 Missing descriptors for photos 1388141106 and 1388141114 Missing descriptors for photos 1388141114 and 1388141131 Missing descriptors for photos 1388141131 and 1388141224 Missing descriptors for photos 1388141224 and 1388141225 Missing descriptors for photos 1388141225 and 1388141226 Missing descriptors for photos 1388141226 and 1388141303 Missing descriptors for photos 1388141303 and 1388141306 Missing descriptors for photos 1388141306 and 1388141374 Missing descriptors for photos 1388141644 and 1388141690 Missing descriptors for photos 1388141690 and 1388141806 Missing descriptors for photos 1388141933 and 1388142025 Missing descriptors for photos 1388142953 and 1388143008 Missing descriptors for photos 1388143008 and 1388144068 Missing descriptors for photos 1388144129 and 1388144169 Missing descriptors for photos 1388146509 and 1388146514 Missing descriptors for photos 1388146514 and 1388146516 Missing descriptors for photos 1388156012 and 1388168138 Missing descriptors for photos 1388168138 and 1388170012 Missing descriptors for photos 1388170012 and 1388174618 Missing descriptors for photos 1388174618 and 1388180501 Missing descriptors for photos 1388180501 and 1388184493 Missing descriptors for photos 1388201712 and 1388203701 ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1388215147 photo_id_prec : 1388212092 08102025 Removing 0 photos because of the 'same image' condition Total on : 0 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 52 time used for this insertion : 0.04947257041931152 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.2628457546234131 Creating list_photo_total Warning list_scores null time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than 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ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.004607677459716797 Total photos : 52 .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 .Change port : 0 hashtag : 495916461 photo_id =1388141446 : jrm .Change port : 1 hashtag : 2107755846 photo_id =1388141598 : pet_clair .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 616987804 photo_id =1388141906 : emr .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 2107755846 photo_id =1388142816 : pet_clair .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 2107760237 photo_id =1388144121 : film_pedb .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 2107760239 photo_id =1388144221 : pehd_pp .Change port : 1 hashtag : 2107760238 photo_id =1388144522 : flux_dev .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 2107760239 photo_id =1388146690 : pehd_pp .Change port : 1 hashtag : 495916461 photo_id =1388146704 : jrm .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 .Change port : 1 hashtag : 2107755846 photo_id =1388189342 : pet_clair .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 2107760239 photo_id =1388212092 : pehd_pp Total photos : 52 Number of lists : 12 counter photos in port : 11 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 1 photos in 1 portfolios ! hashtag : film_pedb(2107760237) : 1 photos in 1 portfolios ! hashtag : flux_dev(2107760238) : 1 photos in 1 portfolios ! hashtag : jrm(495916461) : 2 photos in 2 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 0 photos in 0 portfolios ! hashtag : pehd_pp(2107760239) : 3 photos in 3 portfolios ! hashtag : pet_clair(2107755846) : 3 photos in 3 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 1 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.0029811859130859375 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 5.0067901611328125e-06 today str has not a value , we define it as the date of the first image todaystr_first : 08102025 attention , prev_timestamp is 0 , we do nothing **************************************************Unexpected type of data : ({'photo_id': 1388215147, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/10/8/c91dfedb2328ddb81815ec14e1eee83f.jpg', 'username': None, 'uploaded_at': 1759926562, 'text': 'image_08102025_14_28_29_10489.jpg', 'time': 1759933709.010489}, 'different') Count Time bigger than 30s : 50 #Number Photos for regression : {'08102025': {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}}} 08102025|aluminium, 05102018_papier_non_papier_dense:0 08102025|aluminium, 05102018_papier_non_papier_peu_dense:0 08102025|aluminium, 05102018_papier_non_papier_presque_vide:0 08102025|aluminium, 05102018_papier_non_papier_tres_dense:0 08102025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 08102025|ela, 05102018_papier_non_papier_dense:0 08102025|ela, 05102018_papier_non_papier_peu_dense:0 08102025|ela, 05102018_papier_non_papier_presque_vide:0 08102025|ela, 05102018_papier_non_papier_tres_dense:0 08102025|ela, 05102018_papier_non_papier_tres_peu_dense:0 08102025|emr, 05102018_papier_non_papier_dense:0 08102025|emr, 05102018_papier_non_papier_peu_dense:0 08102025|emr, 05102018_papier_non_papier_presque_vide:0 08102025|emr, 05102018_papier_non_papier_tres_dense:0 08102025|emr, 05102018_papier_non_papier_tres_peu_dense:0 08102025|film_pedb, 05102018_papier_non_papier_dense:0 08102025|film_pedb, 05102018_papier_non_papier_peu_dense:0 08102025|film_pedb, 05102018_papier_non_papier_presque_vide:0 08102025|film_pedb, 05102018_papier_non_papier_tres_dense:0 08102025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 08102025|flux_dev, 05102018_papier_non_papier_dense:0 08102025|flux_dev, 05102018_papier_non_papier_peu_dense:0 08102025|flux_dev, 05102018_papier_non_papier_presque_vide:0 08102025|flux_dev, 05102018_papier_non_papier_tres_dense:0 08102025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 08102025|jrm, 05102018_papier_non_papier_dense:0 08102025|jrm, 05102018_papier_non_papier_peu_dense:0 08102025|jrm, 05102018_papier_non_papier_presque_vide:0 08102025|jrm, 05102018_papier_non_papier_tres_dense:0 08102025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 08102025|pcm, 05102018_papier_non_papier_dense:0 08102025|pcm, 05102018_papier_non_papier_peu_dense:0 08102025|pcm, 05102018_papier_non_papier_presque_vide:0 08102025|pcm, 05102018_papier_non_papier_tres_dense:0 08102025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 08102025|pcnc, 05102018_papier_non_papier_dense:0 08102025|pcnc, 05102018_papier_non_papier_peu_dense:0 08102025|pcnc, 05102018_papier_non_papier_presque_vide:0 08102025|pcnc, 05102018_papier_non_papier_tres_dense:0 08102025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 08102025|pehd_pp, 05102018_papier_non_papier_dense:0 08102025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 08102025|pehd_pp, 05102018_papier_non_papier_presque_vide:0 08102025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 08102025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 08102025|pet_clair, 05102018_papier_non_papier_dense:0 08102025|pet_clair, 05102018_papier_non_papier_peu_dense:0 08102025|pet_clair, 05102018_papier_non_papier_presque_vide:0 08102025|pet_clair, 05102018_papier_non_papier_tres_dense:0 08102025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 08102025|refus, 05102018_papier_non_papier_dense:0 08102025|refus, 05102018_papier_non_papier_peu_dense:0 08102025|refus, 05102018_papier_non_papier_presque_vide:0 08102025|refus, 05102018_papier_non_papier_tres_dense:0 08102025|refus, 05102018_papier_non_papier_tres_peu_dense:0 08102025|tapis_vide, 05102018_papier_non_papier_dense:0 08102025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 08102025|tapis_vide, 05102018_papier_non_papier_presque_vide:0 08102025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 08102025|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 : 12 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 11 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.12593674659729004 # DISPLAY ALL COLLECTED DATA : {'08102025': {'nb_upload': 52, 'nb_taggue_class': 51, 'nb_taggue_densite': 51, 'nb_descriptors': 11, 'number_port': 12, 'count_photo_in_port': 11, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 1, 'nb_portfolios': 1}, 'film_pedb': {'nb_photos': 1, 'nb_portfolios': 1}, 'flux_dev': {'nb_photos': 1, 'nb_portfolios': 1}, 'jrm': {'nb_photos': 2, 'nb_portfolios': 2}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 0, 'nb_portfolios': 0}, 'pehd_pp': {'nb_photos': 3, 'nb_portfolios': 3}, 'pet_clair': {'nb_photos': 3, 'nb_portfolios': 3}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 1}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1388215147, 1388212092, 1388203701, 1388201712, 1388189342, 1388184493, 1388180501, 1388174618, 1388170012, 1388168138, 1388156012, 1388146704, 1388146690, 1388146516, 1388146514, 1388146509, 1388144522, 1388144221, 1388144169, 1388144129, 1388144121, 1388144068, 1388143008, 1388142953, 1388142816, 1388142025, 1388141933, 1388141906, 1388141806, 1388141690, 1388141644, 1388141598, 1388141446, 1388141374, 1388141306, 1388141303, 1388141226, 1388141225, 1388141224, 1388141131, 1388141114, 1388141106, 1388141094, 1388140731, 1388140721, 1388140674, 1388140368, 1388140310, 1388140257, 1388140207, 1388140150, 1388140100] Looping around the photos to save general results len do output : 1 /27589362Didn'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, '3885781') ('4891', '27589362', '1388215147', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388212092', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388203701', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388201712', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388189342', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388184493', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388180501', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388174618', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388170012', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388168138', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388156012', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388146704', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388146690', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388146516', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388146514', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388146509', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388144522', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388144221', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388144169', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388144129', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388144121', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388144068', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388143008', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388142953', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388142816', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388142025', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141933', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141906', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141806', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141690', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141644', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141598', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141446', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141374', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141306', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141303', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141226', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141225', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141224', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141131', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141114', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141106', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388141094', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388140731', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388140721', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388140674', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388140368', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388140310', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388140257', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388140207', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388140150', None, None, None, None, None, '3885781') ('4891', None, None, None, None, None, None, None, '3885781') ('4891', '27589362', '1388140100', None, None, None, None, None, '3885781') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 53 time used for this insertion : 0.039942264556884766 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.397158622741699 time spend to save output : 0.04051852226257324 total time spend for step 1 : 2.4376771450042725 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 1.31user 0.48system 0:04.97elapsed 36%CPU (0avgtext+0avgdata 101740maxresident)k 248inputs+160outputs (2major+49067minor)pagefaults 0swaps