python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4876' -s datou_current_4876 -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 : 3227823 load datou : 4876 # 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 we have a portfolio with more photos than limit : 4173>1000 please execute split_portfolio.py -i 20899997 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2625236'] with mtr_portfolio_ids : ['20899997'] and first list_photo_ids : [] new path : /proc/3227823/ 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 : 0.03448915481567383 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Feb 28 22:18:27 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', 179), ('01', 91), ('02', 259), ('03', 272), ('04', 42), ('05', 256), ('06', 274), ('07', 286), ('08', 298), ('09', 138), ('10', 300), ('11', 270), ('12', 60), ('13', 82), ('14', 187), ('15', 181), ('16', 241), ('17', 142), ('18', 153), ('19', 237), ('20', 204), ('21', 16), ('22', 5)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 3991, 2: 1} 28022025 20899997 Nombre de photos uploadées : 134 / 23040 (0%) 28022025 20899997 Nombre de photos taguées (types de déchets): 3992 / 134 (2979%) 28022025 20899997 Nombre de photos taguées (volume) : 3992 / 134 (2979%) elapsed_time : load_data_split_time_score 3.5762786865234375e-06 elapsed_time : order_list_meta_photo_and_scores 0.001470804214477539 ??????????????? elapsed_time : fill_and_build_computed_from_old_data 0.007169961929321289 elapsed_time : insert_dashboard_record_day_entry 0.02337503433227539 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 Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.011630058288574219 photos_removed : len 0 elapsed_time : load_duplicate_info 0.012280941009521484 ***** BEGIN SPLIT TIME ***** True 1740700800.0 `1740770273.010143 1740770100.0 `1740770283.010139 1740770100.0 `1740770294.010135 1740770100.0 `1740770304.010134 1740770100.0 `1740770333.010134 1740770100.0 `1740770343.01014 1740770100.0 `1740770353.010136 1740770100.0 `1740770363.010136 1740770100.0 `1740770374.010138 1740770100.0 `1740770384.010139 1740770100.0 `1740770393.009126 1740770100.0 `1740770403.010174 1740770100.0 `1740770413.010137 1740770100.0 `1740770423.010135 1740770100.0 `1740770433.010134 1740770100.0 `1740770444.010136 1740770100.0 `1740770454.010133 1740770100.0 `1740770473.010137 1740770100.0 `1740770483.010139 1740770100.0 `1740770493.010134 1740770100.0 `1740770503.010136 1740770100.0 `1740770514.010136 1740770100.0 `1740770524.010146 1740770100.0 `1740770534.010137 1740770100.0 `1740770543.009125 1740770100.0 `1740770553.010134 1740770100.0 `1740770563.010137 1740770100.0 `1740770583.010149 1740770100.0 `1740770594.010137 1740770100.0 `1740770604.01014 1740770100.0 `1740770613.009124 1740770100.0 `1740770623.010137 1740770100.0 `1740770633.010136 1740770100.0 `1740770643.010138 1740770100.0 `1740770653.010138 1740770100.0 `1740770664.010133 1740770100.0 `1740770674.010134 1740770100.0 `1740770683.009123 1740770100.0 `1740770693.010135 1740770100.0 `1740770703.010149 1740770100.0 `1740770713.010145 1740770100.0 `1740770723.010136 1740770100.0 `1740770734.010139 1740770100.0 `1740770744.010138 1740770100.0 `1740770754.010138 1740770100.0 `1740770763.009134 1740770100.0 `1740770773.010144 1740770100.0 `1740770783.010134 1740770100.0 `1740770814.010141 1740770100.0 `1740770823.009155 1740770100.0 `1740770833.010145 1740770100.0 `1740770843.010139 1740770100.0 `1740770853.010135 1740770100.0 `1740770863.010134 1740770100.0 `1740770874.010137 1740770100.0 `1740770884.010145 1740770100.0 `1740770893.009126 1740770100.0 `1740770923.010133 1740770100.0 `1740770933.010134 1740770100.0 `1740770944.010136 1740770100.0 `1740770954.010137 1740770100.0 `1740770963.009124 1740770100.0 `1740770973.01014 1740770100.0 `1740770983.010141 1740770100.0 `1740770993.010134 1740770100.0 `1740771003.010174 1740771000.0 `1740771014.01014 1740771000.0 `1740771024.010136 1740771000.0 `1740771053.010136 1740771000.0 `1740771063.010152 1740771000.0 `1740771073.010139 1740771000.0 `1740771084.010142 1740771000.0 `1740771094.010135 1740771000.0 `1740771104.010137 1740771000.0 `1740771113.009126 1740771000.0 `1740771123.010134 1740771000.0 `1740771133.010158 1740771000.0 `1740771143.010135 1740771000.0 `1740771153.010136 1740771000.0 `1740771164.010135 1740771000.0 `1740771213.010134 1740771000.0 `1740771223.010134 1740771000.0 `1740771234.010135 1740771000.0 `1740771283.01014 1740771000.0 `1740771293.01014 1740771000.0 `1740771304.010144 1740771000.0 `1740771314.010137 1740771000.0 `1740771323.009126 1740771000.0 `1740771333.010156 1740771000.0 `1740771343.010142 1740771000.0 `1740771353.010139 1740771000.0 `1740771374.01014 1740771000.0 `1740771384.010137 1740771000.0 `1740771393.009125 1740771000.0 `1740771403.010135 1740771000.0 `1740771413.010138 1740771000.0 `1740771454.010133 1740771000.0 `1740771473.009126 1740771000.0 `1740771483.01015 1740771000.0 `1740771493.010152 1740771000.0 `1740771503.010136 1740771000.0 `1740771514.010145 1740771000.0 `1740771543.009136 1740771000.0 `1740771563.010134 1740771000.0 `1740771573.010141 1740771000.0 `1740771584.010146 1740771000.0 `1740771594.010137 1740771000.0 `1740771604.010154 1740771000.0 `1740771613.009125 1740771000.0 `1740771623.010135 1740771000.0 `1740771633.010135 1740771000.0 `1740771763.01014 1740771000.0 `1740772314.010136 1740771900.0 `1740772884.010137 1740772800.0 `1740773225.010146 1740772800.0 `1740773435.010141 1740772800.0 `1740773445.010138 1740772800.0 `1740773865.010135 1740773700.0 `1740773904.010134 1740773700.0 `1740773984.010142 1740773700.0 `1740774375.010138 1740773700.0 `1740774385.010135 1740773700.0 `1740774535.010138 1740773700.0 `1740774635.010241 1740774600.0 `1740775464.010138 1740774600.0 `1740775474.010147 1740774600.0 `1740775484.010138 1740774600.0 `1740775495.010135 1740774600.0 `1740775795.010137 1740775500.0 `1740776495.010154 1740776400.0 `1740776705.01016 1740776400.0 `1740777014.010139 1740776400.0 `1740777154.01014 1740776400.0 `1740777254.010141 1740776400.0 list printed: [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64], [65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111], [112], [113, 114, 115, 116], [117, 118, 119, 120, 121, 122], [123, 124, 125, 126, 127], [128], [129, 130, 131, 132, 133]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.010126829147338867 ***** END SPLIT TIME ***** NUMBER BATCH : 8 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] result_one_balle_Type_JRM:{'day': '28022025', 'map_nb_amount': {0: 12, 1: 53, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 719.999990940094, 'nb_balles_papier': 0.0006500000000000011, 'begin_time_port': 'image_28022025_20_17_53_010143m0.jpg 0.00015000000000000001 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006500000000000011 We reject this portfolio because of the condition_save_data : 2025-02-28 20:17:53.010143 ERROR missing amount info result_one_balle_Type_JRM:{'day': '28022025', 'map_nb_amount': {0: 7, 1: 38, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 759.9999659061432, 'nb_balles_papier': 0.00046000000000000056, 'begin_time_port': 'image_28022025_20_30_03_010174m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00046000000000000056 We reject this portfolio because of the condition_save_data : 2025-02-28 20:30:03.010174 We have rejected 22 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.189985990524292 # DISPLAY ALL COLLECTED DATA : {'28022025': {'nb_upload': 134, 'nb_taggue_class': 3992, 'nb_taggue_densite': 3992}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1340229160, 1340228956, 1340228947, 1340228733, 1340227662, 1340227354, 1340224578, 1340224321, 1340224317, 1340224311, 1340224307, 1340220106, 1340219935, 1340219733, 1340219728, 1340219075, 1340219041, 1340219006, 1340218251, 1340218246, 1340218135, 1340216739, 1340215502, 1340214708, 1340214614, 1340214609, 1340214605, 1340214600, 1340214545, 1340214543, 1340214537, 1340214534, 1340214522, 1340214481, 1340214477, 1340214474, 1340214470, 1340214438, 1340214434, 1340214343, 1340214320, 1340214299, 1340214233, 1340214230, 1340214071, 1340214057, 1340214050, 1340214045, 1340214041, 1340214037, 1340213895, 1340213892, 1340213716, 1340213709, 1340213687, 1340213606, 1340213600, 1340213595, 1340213591, 1340213587, 1340213567, 1340213552, 1340213539, 1340213534, 1340213531, 1340213528, 1340213343, 1340213243, 1340213241, 1340213237, 1340213209, 1340213193, 1340213189, 1340213184, 1340213180, 1340213175, 1340213119, 1340213114, 1340213111, 1340213107, 1340213093, 1340213089, 1340213083, 1340213075, 1340213063, 1340213056, 1340213015, 1340213008, 1340213002, 1340212998, 1340212977, 1340212970, 1340212961, 1340212949, 1340212937, 1340212933, 1340212907, 1340212901, 1340212894, 1340212889] Looping around the photos to save general results len do output : 1 /20899997Didn'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 ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340229160', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340228956', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340228947', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340228733', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340227662', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340227354', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340224578', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340224321', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340224317', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340224311', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340224307', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340220106', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340219935', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340219733', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340219728', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340219075', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340219041', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340219006', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340218251', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340218246', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340218135', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340216739', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340215502', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214708', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214614', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214609', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214605', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214600', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214545', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214543', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214537', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214534', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214522', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214481', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214477', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214474', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214470', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214438', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214434', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214343', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214320', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214299', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214233', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340214230', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', 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None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340213089', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340213083', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340213075', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340213063', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340213056', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340213015', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340213008', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340213002', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340212998', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340212977', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340212970', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340212961', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340212949', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340212937', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340212933', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340212907', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340212901', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340212894', None, None, None, None, None, '2625236') ('4876', None, None, None, None, None, None, None, '2625236') ('4876', '20899997', '1340212889', None, None, None, None, None, '2625236') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.025680065155029297 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.6316893100738525 time spend to save output : 0.02643728256225586 total time spend for step 1 : 0.6581265926361084 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 1.37user 0.92system 0:03.27elapsed 70%CPU (0avgtext+0avgdata 104328maxresident)k 2280inputs+64outputs (16major+49726minor)pagefaults 0swaps