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 : 3783020 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 : 1558>1000 please execute split_portfolio.py -i 22246422 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2744439'] with mtr_portfolio_ids : ['22246422'] and first list_photo_ids : [] new path : /proc/3783020/ 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 : 0.03817415237426758 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Apr 11 13:14:28 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', 15), ('01', 8), ('02', 13), ('03', 15), ('04', 8), ('05', 159), ('06', 222), ('07', 216), ('08', 247), ('09', 110), ('10', 248), ('11', 244), ('12', 53)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 1452} 11042025 22246422 Nombre de photos uploadées : 233 / 23040 (1%) 11042025 22246422 Nombre de photos taguées (types de déchets): 1452 / 233 (623%) 11042025 22246422 Nombre de photos taguées (volume) : 1452 / 233 (623%) elapsed_time : load_data_split_time_score 3.5762786865234375e-06 elapsed_time : order_list_meta_photo_and_scores 0.0006170272827148438 ?????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.012012481689453125 elapsed_time : insert_dashboard_record_day_entry 0.02222132682800293 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 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 0.014577388763427734 photos_removed : len 0 elapsed_time : load_duplicate_info 0.011476278305053711 ***** BEGIN SPLIT TIME ***** 1744329600.0 `1744362834.010136 1744362000.0 `1744362874.009122 1744362000.0 `1744362884.010134 1744362000.0 `1744362894.010135 1744362000.0 `1744362904.010161 1744362900.0 `1744362915.010136 1744362900.0 `1744362925.010136 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1744362900.0 `1744363334.010134 1744362900.0 `1744363365.010133 1744362900.0 `1744363375.010132 1744362900.0 `1744363385.010144 1744362900.0 `1744363394.009126 1744362900.0 `1744363404.010136 1744362900.0 `1744363414.010136 1744362900.0 `1744363424.010136 1744362900.0 `1744363435.010136 1744362900.0 `1744363455.010139 1744362900.0 `1744363464.009123 1744362900.0 `1744363474.010135 1744362900.0 `1744363484.010136 1744362900.0 `1744363505.010153 1744362900.0 `1744363515.010136 1744362900.0 `1744363525.010134 1744362900.0 `1744363554.010133 1744362900.0 `1744363564.010136 1744362900.0 `1744363575.010136 1744362900.0 `1744363585.010138 1744362900.0 `1744363595.010137 1744362900.0 `1744363605.010136 1744362900.0 `1744363614.009126 1744362900.0 `1744363624.010156 1744362900.0 `1744363634.010138 1744362900.0 `1744363644.010138 1744362900.0 `1744363655.010138 1744362900.0 `1744363665.010137 1744362900.0 `1744363675.01014 1744362900.0 `1744363684.009134 1744362900.0 `1744363694.010137 1744362900.0 `1744363704.010138 1744362900.0 `1744363714.010136 1744362900.0 `1744363754.009123 1744362900.0 `1744363764.010132 1744362900.0 `1744363774.010134 1744362900.0 `1744363784.010134 1744362900.0 `1744363795.010135 1744362900.0 `1744363805.010167 1744363800.0 `1744363815.010136 1744363800.0 `1744363824.009126 1744363800.0 `1744363834.010136 1744363800.0 `1744363844.010134 1744363800.0 `1744363854.010139 1744363800.0 `1744363865.010147 1744363800.0 `1744363875.010135 1744363800.0 `1744363885.010135 1744363800.0 `1744363934.010135 1744363800.0 `1744363955.010134 1744363800.0 `1744363984.010152 1744363800.0 `1744363994.010133 1744363800.0 `1744364015.010142 1744363800.0 `1744364035.010138 1744363800.0 `1744364054.010138 1744363800.0 `1744364064.010134 1744363800.0 `1744364074.010135 1744363800.0 `1744364085.010135 1744363800.0 `1744364095.010136 1744363800.0 `1744364105.010136 1744363800.0 `1744364114.009124 1744363800.0 `1744364124.010134 1744363800.0 `1744364134.010134 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1744364700.0 `1744364854.009128 1744364700.0 `1744364864.010144 1744364700.0 `1744364864.010144 1744364700.0 `1744364874.010136 1744364700.0 `1744364895.010135 1744364700.0 `1744364905.010133 1744364700.0 `1744364915.010133 1744364700.0 `1744364924.009122 1744364700.0 `1744364924.009122 1744364700.0 `1744364934.010134 1744364700.0 `1744364944.010137 1744364700.0 `1744364944.010137 1744364700.0 `1744364954.010133 1744364700.0 `1744364954.010133 1744364700.0 `1744364965.010133 1744364700.0 `1744364965.010133 1744364700.0 `1744364975.010133 1744364700.0 `1744364975.010133 1744364700.0 `1744364985.010134 1744364700.0 `1744364985.010134 1744364700.0 `1744364994.009124 1744364700.0 `1744365034.010135 1744364700.0 `1744365055.010132 1744364700.0 `1744365065.010156 1744364700.0 `1744365074.009122 1744364700.0 `1744365084.010135 1744364700.0 `1744365094.010134 1744364700.0 `1744365104.010134 1744364700.0 `1744365115.010135 1744364700.0 `1744365135.010137 1744364700.0 `1744365154.010139 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1744365600.0 `1744365773.009123 1744365600.0 `1744365793.010135 1744365600.0 `1744365804.010131 1744365600.0 `1744365814.010138 1744365600.0 `1744365834.010135 1744365600.0 `1744365853.009128 1744365600.0 `1744365863.010134 1744365600.0 `1744365873.010134 1744365600.0 `1744365904.010155 1744365600.0 `1744365933.010134 1744365600.0 `1744365943.010134 1744365600.0 `1744365954.010134 1744365600.0 `1744365964.010142 1744365600.0 `1744365974.010135 1744365600.0 `1744365984.010136 1744365600.0 `1744365993.009124 1744365600.0 `1744366003.010134 1744365600.0 `1744366013.010134 1744365600.0 `1744366024.010156 1744365600.0 `1744366064.010134 1744365600.0 `1744366073.009122 1744365600.0 `1744366083.010145 1744365600.0 `1744366093.010138 1744365600.0 `1744366114.010136 1744365600.0 `1744366124.010136 1744365600.0 `1744366134.010135 1744365600.0 `1744366143.009138 1744365600.0 `1744366153.010139 1744365600.0 `1744366163.010134 1744365600.0 `1744366184.010133 1744365600.0 `1744366194.010134 1744365600.0 `1744366213.009127 1744365600.0 `1744366223.010134 1744365600.0 `1744366233.010134 1744365600.0 `1744366244.010137 1744365600.0 `1744366254.010136 1744365600.0 `1744367103.010136 1744366500.0 `1744367654.010138 1744367400.0 `1744368204.01014 1744367400.0 `1744368753.010138 1744368300.0 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, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179], [180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228], [229], [230, 231], [232]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.014075040817260742 ***** 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'] ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 8, 1: 55, 2: 2, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 890.9999740123749, 'nb_balles_papier': 0.0006700000000000011, 'begin_time_port': 'image_11042025_11_15_04_010161m0.jpg 1e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006700000000000011 We reject this portfolio because of the condition_save_data : 2025-04-11 11:15:04.010161 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 1, 1: 32, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 879.9999711513519, 'nb_balles_papier': 0.00034000000000000024, 'begin_time_port': 'image_11042025_11_30_05_010167m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00034000000000000024 We reject this portfolio because of the condition_save_data : 2025-04-11 11:30:05.010167 ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 3, 1: 43, 2: 15, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 879.9999990463257, 'nb_balles_papier': 0.000610000000000001, 'begin_time_port': 'image_11042025_11_45_14_010135m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.000610000000000001 We reject this portfolio because of the condition_save_data : 2025-04-11 11:45:14.010135 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 2, 1: 30, 2: 13, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 650.0, 'nb_balles_papier': 0.00045000000000000053, 'begin_time_port': 'image_11042025_12_00_04_010136m0.jpg 1e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00045000000000000053 We reject this portfolio because of the condition_save_data : 2025-04-11 12:00:04.010136 We have rejected 8 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 10.260060548782349 # DISPLAY ALL COLLECTED DATA : {'11042025': {'nb_upload': 233, 'nb_taggue_class': 1452, 'nb_taggue_densite': 1452}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1351646715, 1351643099, 1351636355, 1351630816, 1351623826, 1351623621, 1351623563, 1351623524, 1351623454, 1351623385, 1351622957, 1351622936, 1351622920, 1351622908, 1351622890, 1351622598, 1351622544, 1351622518, 1351622475, 1351622423, 1351622155, 1351622103, 1351622065, 1351621944, 1351621918, 1351621895, 1351621851, 1351621784, 1351621751, 1351621431, 1351621400, 1351621315, 1351621256, 1351620902, 1351620877, 1351620809, 1351620259, 1351620221, 1351620205, 1351620191, 1351620023, 1351619993, 1351619962, 1351619684, 1351619662, 1351619637, 1351619610, 1351619584, 1351619374, 1351619332, 1351619292, 1351619288, 1351619256, 1351619220, 1351618961, 1351618910, 1351618706, 1351617868, 1351617024, 1351616604, 1351616564, 1351616543, 1351616490, 1351615691, 1351615591, 1351615530, 1351615091, 1351614988, 1351614890, 1351614807, 1351614742, 1351614650, 1351614083, 1351614016, 1351613780, 1351613716, 1351613689, 1351613652, 1351613593, 1351613567, 1351613138, 1351613059, 1351612801, 1351612648, 1351612641, 1351612523, 1351612515, 1351612396, 1351612389, 1351612357, 1351612329, 1351612308, 1351612272, 1351612240, 1351612052, 1351611954, 1351611866, 1351611792, 1351611759, 1351611491] Looping around the photos to save general results len do output : 1 /22246422Didn'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, '2744439') ('4876', '22246422', '1351646715', None, None, None, None, None, '2744439') ('4876', None, None, None, None, 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('4876', '22246422', '1351623454', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351623385', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622957', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622936', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622920', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622908', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622890', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622598', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622544', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622518', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622475', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622423', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622155', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622103', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351622065', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351621944', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351621918', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351621895', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351621851', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351621784', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351621751', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351621431', None, None, None, None, None, '2744439') ('4876', None, None, 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'2744439') ('4876', '22246422', '1351620221', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351620205', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351620191', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351620023', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351619993', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351619962', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351619684', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351619662', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351619637', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351619610', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351619584', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351619374', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351619332', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351619292', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351619288', None, None, None, 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None, None, '2744439') ('4876', '22246422', '1351615091', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351614988', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351614890', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351614807', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351614742', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351614650', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351614083', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', 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('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351612389', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351612357', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351612329', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351612308', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351612272', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351612240', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351612052', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351611954', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351611866', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351611792', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351611759', None, None, None, None, None, '2744439') ('4876', None, None, None, None, None, None, None, '2744439') ('4876', '22246422', '1351611491', None, None, None, None, None, '2744439') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.26471495628356934 save_final save missing photos in datou_result : time spend for datou_step_exec : 11.678274393081665 time spend to save output : 0.2655925750732422 total time spend for step 1 : 11.943866968154907 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 1.13user 0.83system 0:16.12elapsed 12%CPU (0avgtext+0avgdata 102672maxresident)k 632inputs+80outputs (30major+49157minor)pagefaults 0swaps