python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4883' -s datou_current_4883 -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 : 2259868 load datou : 4883 # 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 : 4883, datou_cur_ids : ['2578594'] with mtr_portfolio_ids : ['20464234'] and first list_photo_ids : [] new path : /proc/2259868/ 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 : 0.19016098976135254 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Feb 12 07:14:28 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('00', 21), ('01', 10), ('02', 20), ('03', 10), ('04', 3), ('05', 25), ('06', 3), ('07', 1)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 41} 12022025 20464234 Nombre de photos uploadées : 20 / 23040 (0%) 12022025 20464234 Nombre de photos taguées (types de déchets): 41 / 20 (205%) 12022025 20464234 Nombre de photos taguées (volume) : 41 / 20 (205%) elapsed_time : load_data_split_time_score 1.9073486328125e-06 elapsed_time : order_list_meta_photo_and_scores 2.7894973754882812e-05 ????????? elapsed_time : fill_and_build_computed_from_old_data 0.0011565685272216797 elapsed_time : insert_dashboard_record_day_entry 0.025827407836914062 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 elapsed_time : list_photo_by_hashtags 0.0047779083251953125 ***** BEGIN SPLIT TIME ***** True 1739318400.0 `1739333614.010141 1739333580.0 `1739333854.010147 1739333820.0 `1739333863.009133 1739333820.0 `1739333924.010143 1739333880.0 `1739333943.010163 1739333940.0 `1739333994.010144 1739333940.0 `1739334003.009131 1739334000.0 `1739335274.010141 1739335260.0 `1739335294.01015 1739335260.0 `1739335304.010142 1739335260.0 `1739335323.010181 1739335320.0 `1739335334.010146 1739335320.0 `1739335453.010157 1739335440.0 `1739335463.010136 1739335440.0 `1739335523.01014 1739335500.0 `1739336104.010146 1739336100.0 `1739336674.010153 1739336640.0 `1739337224.010145 1739337180.0 `1739337774.010141 1739337720.0 `1739340494.010142 1739340480.0 list printed: [[0], [1, 2], [3], [4, 5], [6], [7, 8, 9], [10, 11], [12, 13], [14], [15], [16], [17], [18], [19]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.011277198791503906 ***** END SPLIT TIME ***** NUMBER BATCH : 14 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! result_one_balle_Type_JRM:{'day': '12022025', 'map_nb_amount': {0: 0, 1: 2, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 2e-05, 'begin_time_port': 'image'} Production hashtag (incorrect ponderation at 20-10-18) : 2e-05 We reject this portfolio because of the condition_save_data : 2025-02-12 05:17:34.010147 Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! result_one_balle_Type_JRM:{'day': '12022025', 'map_nb_amount': {0: 0, 1: 2, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 2e-05, 'begin_time_port': 'image'} Production hashtag (incorrect ponderation at 20-10-18) : 2e-05 We reject this portfolio because of the condition_save_data : 2025-02-12 05:19:03.010163 Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! result_one_balle_Type_JRM:{'day': '12022025', 'map_nb_amount': {0: 0, 1: 3, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 30.000001192092896, 'nb_balles_papier': 3.0000000000000004e-05, 'begin_time_port': 'image_12022025_05_41_14_10141.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 3.0000000000000004e-05 We reject this portfolio because of the condition_save_data : 2025-02-12 05:41:14.010141 Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! result_one_balle_Type_JRM:{'day': '12022025', 'map_nb_amount': {0: 0, 1: 2, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 2e-05, 'begin_time_port': 'image'} Production hashtag (incorrect ponderation at 20-10-18) : 2e-05 We reject this portfolio because of the condition_save_data : 2025-02-12 05:42:03.010181 Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! result_one_balle_Type_JRM:{'day': '12022025', 'map_nb_amount': {0: 0, 1: 2, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 2e-05, 'begin_time_port': 'image'} Production hashtag (incorrect ponderation at 20-10-18) : 2e-05 We reject this portfolio because of the condition_save_data : 2025-02-12 05:44:13.010157 We have rejected 9 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.12121176719665527 # DISPLAY ALL COLLECTED DATA : {'12022025': {'nb_upload': 20, 'nb_taggue_class': 41, 'nb_taggue_densite': 41}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1337023572, 1337022583, 1337016161, 1337015073, 1337013859, 1337011775, 1337010224, 1337010203, 1337010202, 1337009616, 1337009569, 1337009552, 1337009551, 1337009550, 1337006587, 1337006559, 1337006558, 1337006265, 1337005098, 1337005029, 1337004929, 1337004568, 1337004552, 1337004550, 1337004531, 1337004529, 1337004176, 1337003089, 1337003086, 1337002688, 1337001743, 1336999199, 1336998113, 1336991173, 1336989130, 1336989129, 1336988195, 1336987429, 1336986829, 1336985651, 1336985242, 1336984712, 1336982552, 1336975049, 1336975048, 1336974793, 1336974684, 1336974092, 1336974041, 1336972818, 1336972682, 1336972679, 1336972610, 1336972591, 1336972367, 1336971360, 1336971008, 1336971006, 1336969385, 1336969383, 1336969116, 1336968638, 1336968636, 1336964038, 1336963651, 1336963644, 1336962479, 1336962295, 1336961563, 1336961163, 1336959435, 1336957717, 1336955647, 1336953242, 1336952699, 1336952696, 1336952522, 1336952442, 1336952333, 1336952021, 1336950427, 1336950424, 1336950027, 1336949973, 1336949909, 1336949847, 1336948918, 1336948914, 1336947198, 1336946814, 1336946644, 1336946643, 1336946557] Looping around the photos to save general results len do output : 1 /20464234Didn'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 ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337023572', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337022583', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337016161', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337015073', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337013859', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337011775', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337010224', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337010203', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337010202', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337009616', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337009569', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337009552', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337009551', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337009550', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337006587', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337006559', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337006558', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337006265', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337005098', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337005029', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337004929', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337004568', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337004552', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337004550', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337004531', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337004529', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337004176', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337003089', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337003086', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337002688', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1337001743', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336999199', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336998113', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336991173', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336989130', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336989129', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336988195', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336987429', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336986829', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336985651', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336985242', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336984712', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336982552', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336975049', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336975048', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336974793', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336974684', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336974092', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336974041', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336972818', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336972682', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336972679', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336972610', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336972591', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336972367', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336971360', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336971008', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336971006', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336969385', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336969383', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336969116', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336968638', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336968636', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336964038', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336963651', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336963644', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336962479', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336962295', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336961563', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336961163', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336959435', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336957717', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336955647', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336953242', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336952699', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336952696', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336952522', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336952442', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336952333', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336952021', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336950427', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336950424', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336950027', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336949973', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336949909', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336949847', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336948918', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336948914', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336947198', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336946814', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336946644', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336946643', None, None, None, None, None, '2578594') ('4883', None, None, None, None, None, None, None, '2578594') ('4883', '20464234', '1336946557', None, None, None, None, None, '2578594') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 94 time used for this insertion : 0.0618596076965332 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.3153805732727051 time spend to save output : 0.06260538101196289 total time spend for step 1 : 0.37798595428466797 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 1.05user 0.69system 0:03.92elapsed 44%CPU (0avgtext+0avgdata 100144maxresident)k 2880inputs+56outputs (0major+48505minor)pagefaults 0swaps