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 : 2363358 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 list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2548745'] with mtr_portfolio_ids : ['20234215'] and first list_photo_ids : [] new path : /proc/2363358/ 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 : 0.11445784568786621 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Feb 5 05:36:29 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': 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'}] (('01', 141), ('00', 67), ('02', 226), ('03', 228), ('04', 115), ('05', 131)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 578} 05022025 20234215 Nombre de photos uploadées : 326 / 23040 (1%) 05022025 20234215 Nombre de photos taguées (types de déchets): 578 / 326 (177%) 05022025 20234215 Nombre de photos taguées (volume) : 578 / 326 (177%) elapsed_time : load_data_split_time_score 3.0994415283203125e-06 elapsed_time : order_list_meta_photo_and_scores 0.0002243518829345703 ???????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.015022993087768555 elapsed_time : insert_dashboard_record_day_entry 0.027768373489379883 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 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 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 Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.01620030403137207 photos_removed : len 0 elapsed_time : load_duplicate_info 3.172489643096924 ***** BEGIN SPLIT TIME ***** True 1738713600.0 `1738722954.009132 1738722600.0 `1738722975.010137 1738722600.0 `1738722985.010136 1738722600.0 `1738722995.010138 1738722600.0 `1738723005.010136 1738722600.0 `1738723015.010137 1738722600.0 `1738723024.009143 1738722600.0 `1738723034.010134 1738722600.0 `1738723075.010138 1738722600.0 `1738723094.009125 1738722600.0 `1738723104.010135 1738722600.0 `1738723114.010142 1738722600.0 `1738723125.010142 1738722600.0 `1738723135.010139 1738722600.0 `1738723145.010151 1738722600.0 `1738723155.010138 1738722600.0 `1738723164.009126 1738722600.0 `1738723174.010139 1738722600.0 `1738723195.010138 1738722600.0 `1738723215.010135 1738722600.0 `1738723225.010135 1738722600.0 `1738723235.010135 1738722600.0 `1738723265.010176 1738722600.0 `1738723275.010135 1738722600.0 `1738723295.01014 1738722600.0 `1738723305.01014 1738722600.0 `1738723314.009126 1738722600.0 `1738723324.010145 1738722600.0 `1738723335.010137 1738722600.0 `1738723345.010135 1738722600.0 `1738723355.010135 1738722600.0 `1738723365.010138 1738722600.0 `1738723375.010138 1738722600.0 `1738723394.010138 1738722600.0 `1738723404.010137 1738722600.0 `1738723415.010137 1738722600.0 `1738723425.010138 1738722600.0 `1738723625.010152 1738723500.0 `1738723734.009127 1738723500.0 `1738723754.010137 1738723500.0 `1738723765.010136 1738723500.0 `1738723775.01015 1738723500.0 `1738723785.010141 1738723500.0 `1738723824.010135 1738723500.0 `1738723835.010145 1738723500.0 `1738723845.010136 1738723500.0 `1738723865.010151 1738723500.0 `1738723874.009128 1738723500.0 `1738723884.010137 1738723500.0 `1738723894.01014 1738723500.0 `1738723905.010144 1738723500.0 `1738723915.010142 1738723500.0 `1738723925.010169 1738723500.0 `1738723944.009125 1738723500.0 `1738723954.010135 1738723500.0 `1738723975.010139 1738723500.0 `1738723995.010136 1738723500.0 `1738724015.010135 1738723500.0 `1738724024.009133 1738723500.0 `1738724034.010138 1738723500.0 `1738724055.010136 1738723500.0 `1738724065.010135 1738723500.0 `1738724115.010137 1738723500.0 `1738724125.010141 1738723500.0 `1738724145.010138 1738723500.0 `1738724155.010136 1738723500.0 `1738724164.00914 1738723500.0 `1738724174.010141 1738723500.0 `1738724185.010138 1738723500.0 `1738724195.010136 1738723500.0 `1738724205.010138 1738723500.0 `1738724215.010137 1738723500.0 `1738724225.010154 1738723500.0 `1738724234.009126 1738723500.0 `1738724244.010136 1738723500.0 `1738724265.010139 1738723500.0 `1738724275.010138 1738723500.0 `1738724314.010135 1738723500.0 `1738724324.010137 1738723500.0 `1738724335.010138 1738723500.0 `1738724414.010164 1738724400.0 `1738724424.010137 1738724400.0 `1738724444.01015 1738724400.0 `1738724454.010138 1738724400.0 `1738724464.010152 1738724400.0 `1738724473.009126 1738724400.0 `1738724494.010142 1738724400.0 `1738724504.010153 1738724400.0 `1738724514.01014 1738724400.0 `1738724524.010163 1738724400.0 `1738724564.010143 1738724400.0 `1738724584.010143 1738724400.0 `1738724594.01014 1738724400.0 `1738724614.009138 1738724400.0 `1738724624.010146 1738724400.0 `1738724634.010139 1738724400.0 `1738724644.010158 1738724400.0 `1738724664.010136 1738724400.0 `1738724824.00915 1738724400.0 `1738724844.010146 1738724400.0 `1738724854.01014 1738724400.0 `1738724874.010153 1738724400.0 `1738724884.010186 1738724400.0 `1738724894.009131 1738724400.0 `1738724934.010137 1738724400.0 `1738724944.010153 1738724400.0 `1738724954.010137 1738724400.0 `1738724964.009128 1738724400.0 `1738724974.010152 1738724400.0 `1738724984.010148 1738724400.0 `1738725004.010161 1738724400.0 `1738725024.010137 1738724400.0 `1738725034.009127 1738724400.0 `1738725044.010141 1738724400.0 `1738725054.010143 1738724400.0 `1738725064.010161 1738724400.0 `1738725074.010137 1738724400.0 `1738725084.010135 1738724400.0 `1738725114.010136 1738724400.0 `1738725124.010135 1738724400.0 `1738725134.010136 1738724400.0 `1738725144.010136 1738724400.0 `1738725154.010136 1738724400.0 `1738725164.01014 1738724400.0 `1738725173.00913 1738724400.0 `1738725184.010141 1738724400.0 `1738725194.010141 1738724400.0 `1738725204.010144 1738724400.0 `1738725214.010139 1738724400.0 `1738725224.01014 1738724400.0 `1738725234.01014 1738724400.0 `1738725634.010138 1738725300.0 `1738725764.010142 1738725300.0 `1738725784.01015 1738725300.0 `1738725794.010136 1738725300.0 `1738725803.009127 1738725300.0 `1738725834.01014 1738725300.0 `1738725844.010167 1738725300.0 `1738725854.010137 1738725300.0 `1738725864.010137 1738725300.0 `1738725894.010144 1738725300.0 `1738725904.010154 1738725300.0 `1738725914.010138 1738725300.0 `1738725924.010136 1738725300.0 `1738725934.010136 1738725300.0 `1738725944.009126 1738725300.0 `1738725954.01015 1738725300.0 `1738725964.010158 1738725300.0 `1738725974.010143 1738725300.0 `1738725984.010135 1738725300.0 `1738725994.010135 1738725300.0 `1738726034.010138 1738725300.0 `1738726054.010149 1738725300.0 `1738726064.010145 1738725300.0 `1738726074.010139 1738725300.0 `1738726084.009144 1738725300.0 `1738726124.010145 1738725300.0 `1738726134.010139 1738725300.0 `1738726144.01014 1738725300.0 `1738726394.010144 1738726200.0 `1738726404.010137 1738726200.0 `1738726414.01014 1738726200.0 `1738726454.010152 1738726200.0 `1738726484.010141 1738726200.0 `1738726494.010136 1738726200.0 `1738726504.009131 1738726200.0 `1738726534.010151 1738726200.0 `1738726554.010136 1738726200.0 `1738726564.010152 1738726200.0 `1738726574.009126 1738726200.0 `1738726584.010136 1738726200.0 `1738726594.010144 1738726200.0 `1738726604.010153 1738726200.0 `1738726624.010168 1738726200.0 `1738726634.010141 1738726200.0 `1738726644.009124 1738726200.0 `1738726654.010134 1738726200.0 `1738726664.010135 1738726200.0 `1738726674.010137 1738726200.0 `1738726684.010143 1738726200.0 `1738726694.010137 1738726200.0 `1738726734.010143 1738726200.0 `1738726744.010163 1738726200.0 `1738726754.010145 1738726200.0 `1738726764.010141 1738726200.0 `1738726774.010158 1738726200.0 `1738726784.00914 1738726200.0 `1738726804.010175 1738726200.0 `1738726814.010144 1738726200.0 `1738726824.010145 1738726200.0 `1738726834.010142 1738726200.0 `1738726844.010143 1738726200.0 `1738726944.010145 1738726200.0 `1738727494.010143 1738727100.0 `1738727984.010136 1738727100.0 `1738728054.01014 1738728000.0 `1738728204.010143 1738728000.0 `1738728214.010151 1738728000.0 `1738728373.010146 1738728000.0 `1738728503.009127 1738728000.0 `1738728513.01014 1738728000.0 `1738728523.010146 1738728000.0 `1738728533.010141 1738728000.0 `1738728544.010175 1738728000.0 `1738728554.010136 1738728000.0 `1738728564.010136 1738728000.0 `1738728573.009136 1738728000.0 `1738728583.010144 1738728000.0 `1738728593.010136 1738728000.0 `1738728604.010153 1738728000.0 `1738728614.010142 1738728000.0 `1738728624.010133 1738728000.0 `1738728663.010155 1738728000.0 `1738728673.010139 1738728000.0 `1738728684.010142 1738728000.0 `1738728704.010148 1738728000.0 `1738728733.010144 1738728000.0 `1738728744.010139 1738728000.0 `1738728754.010145 1738728000.0 `1738728764.010143 1738728000.0 `1738728774.010139 1738728000.0 `1738728783.009142 1738728000.0 `1738728793.010155 1738728000.0 `1738728803.010138 1738728000.0 `1738728814.010135 1738728000.0 `1738728853.009129 1738728000.0 `1738728863.010138 1738728000.0 `1738728873.010141 1738728000.0 `1738728884.010145 1738728000.0 `1738728894.010142 1738728000.0 `1738728904.010168 1738728900.0 `1738728914.010136 1738728900.0 `1738728923.009125 1738728900.0 `1738728933.010135 1738728900.0 `1738728943.010137 1738728900.0 `1738728964.010144 1738728900.0 `1738728984.010139 1738728900.0 `1738728993.009129 1738728900.0 `1738729023.010154 1738728900.0 `1738729034.010137 1738728900.0 `1738729044.010138 1738728900.0 `1738729054.010141 1738728900.0 `1738729073.010141 1738728900.0 `1738729083.010138 1738728900.0 `1738729104.01014 1738728900.0 `1738729114.010135 1738728900.0 `1738729134.010139 1738728900.0 `1738729143.009141 1738728900.0 `1738729153.010144 1738728900.0 `1738729163.010137 1738728900.0 `1738729174.010134 1738728900.0 `1738729184.010136 1738728900.0 `1738729194.010138 1738728900.0 `1738729204.010157 1738728900.0 `1738729233.010136 1738728900.0 `1738729244.010136 1738728900.0 `1738729254.010143 1738728900.0 `1738729264.010165 1738728900.0 `1738729303.01016 1738728900.0 `1738729314.01014 1738728900.0 `1738729324.010141 1738728900.0 `1738729334.010137 1738728900.0 `1738729344.010134 1738728900.0 `1738729353.009135 1738728900.0 `1738729363.010152 1738728900.0 `1738729373.010139 1738728900.0 `1738729394.010141 1738728900.0 `1738729404.010139 1738728900.0 `1738729414.01015 1738728900.0 `1738729423.009128 1738728900.0 `1738729433.010144 1738728900.0 `1738729464.010133 1738728900.0 `1738729474.010133 1738728900.0 `1738729484.010138 1738728900.0 `1738729493.009133 1738728900.0 `1738729503.010154 1738728900.0 `1738729513.010143 1738728900.0 `1738729524.010142 1738728900.0 `1738729534.010145 1738728900.0 `1738729544.010152 1738728900.0 `1738729554.010138 1738728900.0 `1738729563.00913 1738728900.0 `1738729573.010148 1738728900.0 `1738729604.010134 1738728900.0 `1738729614.010135 1738728900.0 `1738729624.01016 1738728900.0 `1738729633.009127 1738728900.0 `1738729643.010137 1738728900.0 `1738729653.010135 1738728900.0 `1738729664.010139 1738728900.0 `1738729674.01014 1738728900.0 `1738729684.010142 1738728900.0 `1738729694.010136 1738728900.0 `1738729703.009126 1738728900.0 `1738729713.010141 1738728900.0 `1738729723.010137 1738728900.0 `1738729744.01017 1738728900.0 `1738729754.010141 1738728900.0 `1738729793.010134 1738728900.0 `1738729803.010135 1738729800.0 `1738729824.010135 1738729800.0 `1738729834.010152 1738729800.0 `1738729843.009144 1738729800.0 `1738729853.010153 1738729800.0 `1738729863.010182 1738729800.0 `1738729884.010144 1738729800.0 `1738729894.010137 1738729800.0 `1738729904.010138 1738729800.0 `1738729913.009128 1738729800.0 `1738729923.010153 1738729800.0 `1738729964.010138 1738729800.0 `1738729974.010136 1738729800.0 `1738729983.009145 1738729800.0 `1738729993.010153 1738729800.0 `1738730003.010138 1738729800.0 `1738730013.010148 1738729800.0 `1738730024.01015 1738729800.0 `1738730034.010138 1738729800.0 `1738730044.010183 1738729800.0 `1738730053.009134 1738729800.0 `1738730063.010137 1738729800.0 `1738730073.010138 1738729800.0 `1738730084.010136 1738729800.0 `1738730094.010197 1738729800.0 `1738730104.010153 1738729800.0 `1738730114.010138 1738729800.0 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, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298], [299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.018325090408325195 ***** END SPLIT TIME ***** NUMBER BATCH : 9 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': '05022025', 'map_nb_amount': {0: 3, 1: 25, 2: 9, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 471.0010061264038, 'nb_balles_papier': 0.0003700000000000003, 'begin_time_port': 'image_05022025_03_35_54_009132m0.jpg 5e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0003700000000000003 We reject this portfolio because of the condition_save_data : 2025-02-05 03:35:54.009132 ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '05022025', 'map_nb_amount': {0: 4, 1: 30, 2: 6, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 709.9999859333038, 'nb_balles_papier': 0.0004100000000000004, 'begin_time_port': 'image_05022025_03_47_05_10152.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004100000000000004 We reject this portfolio because of the condition_save_data : 2025-02-05 03:47:05.010152 ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '05022025', 'map_nb_amount': {0: 6, 1: 34, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 819.9999759197235, 'nb_balles_papier': 0.0004800000000000006, 'begin_time_port': 'image_05022025_04_00_14_10164.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004800000000000006 We reject this portfolio because of the condition_save_data : 2025-02-05 04:00:14.010164 ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '05022025', 'map_nb_amount': {0: 0, 1: 24, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 510.00000190734863, 'nb_balles_papier': 0.00025, 'begin_time_port': 'image_05022025_04_20_34_10138.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00025 We reject this portfolio because of the condition_save_data : 2025-02-05 04:20:34.010138 ERROR missing amount info result_one_balle_Type_JRM:{'day': '05022025', 'map_nb_amount': {0: 5, 1: 26, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 550.0000009536743, 'nb_balles_papier': 0.0003300000000000002, 'begin_time_port': 'image_05022025_04_33_14_010144m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0003300000000000002 We reject this portfolio because of the condition_save_data : 2025-02-05 04:33:14.010144 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '05022025', 'map_nb_amount': {0: 2, 1: 20, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 840.0000021457672, 'nb_balles_papier': 0.00025, 'begin_time_port': 'image_05022025_05_00_54_10140.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00025 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '05022025', 'map_nb_amount': {0: 3, 1: 30, 2: 12, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 888.9999659061432, 'nb_balles_papier': 0.00045000000000000053, 'begin_time_port': 'image_05022025_05_15_04_010168m0.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 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '05022025', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 311.0000030994415, 'nb_balles_papier': 0, 'begin_time_port': 'image_05022025_05_30_03_10135.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We have rejected 2 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 3 Internal error, should be audited in sarching same port with keep_same_batch_live Still a lot to verify ! Internal error, should be audited in sarching same port with keep_same_batch_live Still a lot to verify ! We need to add photos : {1334802181, 1334802246, 1334802405, 1334802917, 1334802919, 1334802920, 1334802285, 1334802448, 1334802771, 1334802710, 1334802711, 1334802712, 1334802713, 1334802333, 1334802718} Still a lot to verify ! Qualite : 0.05339575616279592 We don't need to reset the datou_current for this portfolio, que ce soit dans le cas ou il est fini (et found_correct devrait etre vrai, ou dans le cas ou il n'est pas fini, mais du coup on le retrouvera et mettra simplement à jour) # 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) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20241046 AND mptpi.`type`=3726 To do Qualite : 0.05330421218923775 We don't need to reset the datou_current for this portfolio, que ce soit dans le cas ou il est fini (et found_correct devrait etre vrai, ou dans le cas ou il n'est pas fini, mais du coup on le retrouvera et mettra simplement à jour) # 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) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20241183 AND mptpi.`type`=3726 To do This function is not protected ! # 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) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20241795 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.7879152297973633 # DISPLAY ALL COLLECTED DATA : {'05022025': {'nb_upload': 326, 'nb_taggue_class': 578, 'nb_taggue_densite': 578}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1334802920, 1334802919, 1334802917, 1334802771, 1334802718, 1334802713, 1334802712, 1334802711, 1334802710, 1334802448, 1334802405, 1334802333, 1334802285, 1334802246, 1334802181, 1334802081, 1334802080, 1334802079, 1334801690, 1334801616, 1334801543, 1334801467, 1334801393, 1334801028, 1334801024, 1334800945, 1334800884, 1334800883, 1334800867, 1334800842, 1334800840, 1334800824, 1334800822, 1334800819, 1334800817, 1334800811, 1334800797, 1334800795, 1334800788, 1334800784, 1334800781, 1334800780, 1334800727, 1334800726, 1334800723, 1334800708, 1334800607, 1334800601, 1334800589, 1334800587, 1334800519, 1334800387, 1334800144, 1334800141, 1334800139, 1334800100, 1334800036, 1334800023, 1334799998, 1334799994, 1334799982, 1334799964, 1334799962, 1334799960, 1334799959, 1334799958, 1334799957, 1334799865, 1334799796, 1334799794, 1334799485, 1334799444, 1334799443, 1334799442, 1334799186, 1334799183, 1334799181, 1334799180, 1334799179, 1334799133, 1334798023, 1334797968, 1334797891, 1334797821, 1334797484, 1334797479, 1334797478, 1334797477, 1334797458, 1334797394, 1334797391, 1334797390, 1334797368, 1334797366, 1334797365, 1334797364, 1334797363, 1334797316, 1334797315, 1334797314] Looping around the photos to save general results len do output : 1 /20234215Didn'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, '2548745') ('4876', '20234215', '1334802920', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802919', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802917', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802771', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802718', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802713', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802712', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802711', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802710', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802448', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802405', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802333', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802285', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802246', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802181', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802081', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802080', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334802079', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334801690', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334801616', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334801543', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334801467', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334801393', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334801028', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334801024', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800945', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800884', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800883', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800867', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800842', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800840', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800824', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800822', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800819', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800817', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800811', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800797', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800795', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800788', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800784', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800781', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800780', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800727', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800726', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800723', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800708', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800607', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800601', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800589', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800587', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800519', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800387', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800144', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800141', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800139', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800100', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800036', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334800023', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799998', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799994', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799982', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799964', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799962', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799960', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799959', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799958', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799957', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799865', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799796', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799794', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799485', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799444', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799443', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799442', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799186', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799183', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799181', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799180', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799179', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334799133', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334798023', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797968', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797891', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797821', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797484', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797479', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797478', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797477', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797458', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797394', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797391', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797390', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797368', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797366', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797365', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797364', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797363', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797316', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797315', None, None, None, None, None, '2548745') ('4876', None, None, None, None, None, None, None, '2548745') ('4876', '20234215', '1334797314', None, None, None, None, None, '2548745') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.12138152122497559 save_final save missing photos in datou_result : time spend for datou_step_exec : 4.181442975997925 time spend to save output : 0.12215495109558105 total time spend for step 1 : 4.303597927093506 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 1.28user 0.59system 0:08.86elapsed 21%CPU (0avgtext+0avgdata 103256maxresident)k 0inputs+96outputs (0major+49123minor)pagefaults 0swaps