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 : 3757369 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 : 1662>1000 please execute split_portfolio.py -i 22024890 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2722008'] with mtr_portfolio_ids : ['22024890'] and first list_photo_ids : [] new path : /proc/3757369/ 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 : 0.0254514217376709 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Tue Apr 15 15:22:28 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'}] (('09', 30), ('08', 306), ('07', 279), ('10', 5), ('06', 295), ('05', 244), ('11', 3), ('04', 8), ('03', 7), ('02', 7), ('01', 6), ('00', 15), ('12', 1), ('13', 77), ('14', 302), ('15', 77)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 455} 15042025 22024890 Nombre de photos uploadées : 453 / 23040 (1%) 15042025 22024890 Nombre de photos taguées (types de déchets): 455 / 453 (100%) 15042025 22024890 Nombre de photos taguées (volume) : 455 / 453 (100%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0001914501190185547 ????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.019634246826171875 elapsed_time : insert_dashboard_record_day_entry 0.03112053871154785 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 Hashtag is None elapsed_time : list_photo_by_hashtags 0.023596763610839844 photos_removed : len 0 elapsed_time : load_duplicate_info 0.026564359664916992 ***** BEGIN SPLIT TIME ***** 1744675200.0 `1744700615.010136 1744700400.0 `1744717124.010133 1744716600.0 `1744717134.010133 1744716600.0 `1744717144.010143 1744716600.0 `1744717154.010138 1744716600.0 `1744717164.010136 1744716600.0 `1744717173.009128 1744716600.0 `1744717184.010143 1744716600.0 `1744717184.010143 1744716600.0 `1744717204.010154 1744716600.0 `1744717204.010154 1744716600.0 `1744717234.010136 1744716600.0 `1744717264.010142 1744716600.0 `1744717274.010136 1744716600.0 `1744717284.010134 1744716600.0 `1744717594.010136 1744717500.0 `1744717603.009126 1744717500.0 `1744717614.010144 1744717500.0 `1744717614.010144 1744717500.0 `1744717624.010155 1744717500.0 `1744717624.010155 1744717500.0 `1744717634.01014 1744717500.0 `1744717634.01014 1744717500.0 `1744717644.010135 1744717500.0 `1744717684.010154 1744717500.0 `1744717694.010138 1744717500.0 `1744717704.010135 1744717500.0 `1744717704.010135 1744717500.0 `1744717804.010154 1744717500.0 `1744717804.010154 1744717500.0 `1744717823.009129 1744717500.0 `1744717823.009129 1744717500.0 `1744717834.010136 1744717500.0 `1744717834.010136 1744717500.0 `1744717854.010142 1744717500.0 `1744717864.010142 1744717500.0 `1744717874.010135 1744717500.0 `1744717884.010135 1744717500.0 `1744717893.009127 1744717500.0 `1744717934.010136 1744717500.0 `1744717963.009123 1744717500.0 `1744717984.010157 1744717500.0 `1744717994.010138 1744717500.0 `1744718004.010136 1744717500.0 `1744718024.010136 1744717500.0 `1744718033.009127 1744717500.0 `1744718054.010135 1744717500.0 `1744718064.010137 1744717500.0 `1744718074.010136 1744717500.0 `1744718094.010139 1744717500.0 `1744718104.010145 1744717500.0 `1744718113.009126 1744717500.0 `1744718124.010142 1744717500.0 `1744718144.010136 1744717500.0 `1744718154.010136 1744717500.0 `1744718194.010139 1744717500.0 `1744718204.010142 1744717500.0 `1744718204.010142 1744717500.0 `1744718224.010171 1744717500.0 `1744718224.010171 1744717500.0 `1744718234.010138 1744717500.0 `1744718234.010138 1744717500.0 `1744718244.010135 1744717500.0 `1744718244.010135 1744717500.0 `1744718253.009125 1744717500.0 `1744718253.009125 1744717500.0 `1744718264.010136 1744717500.0 `1744718264.010136 1744717500.0 `1744718274.010137 1744717500.0 `1744718284.010147 1744717500.0 `1744718294.010135 1744717500.0 `1744718304.010135 1744717500.0 `1744718323.009126 1744717500.0 `1744718334.010135 1744717500.0 `1744718414.010192 1744718400.0 `1744718434.010148 1744718400.0 `1744718444.010139 1744718400.0 `1744718455.010135 1744718400.0 `1744718465.010148 1744718400.0 `1744718474.009126 1744718400.0 `1744718484.010135 1744718400.0 `1744718494.010135 1744718400.0 `1744718504.010136 1744718400.0 `1744718514.010135 1744718400.0 `1744718525.010144 1744718400.0 `1744718535.010136 1744718400.0 `1744718545.010135 1744718400.0 `1744718584.010141 1744718400.0 `1744718594.010133 1744718400.0 `1744718605.010134 1744718400.0 `1744718615.010135 1744718400.0 `1744718624.009127 1744718400.0 `1744718634.010136 1744718400.0 `1744718644.010146 1744718400.0 `1744718654.010138 1744718400.0 `1744718664.010136 1744718400.0 `1744718675.010142 1744718400.0 `1744718685.010134 1744718400.0 `1744718694.009125 1744718400.0 `1744718704.010139 1744718400.0 `1744718714.010136 1744718400.0 `1744718724.010135 1744718400.0 `1744718765.010137 1744718400.0 `1744718774.009126 1744718400.0 `1744718784.010135 1744718400.0 `1744718794.01014 1744718400.0 `1744718804.010141 1744718400.0 `1744718814.010134 1744718400.0 `1744718825.010143 1744718400.0 `1744718835.010135 1744718400.0 `1744718844.009125 1744718400.0 `1744718854.010136 1744718400.0 `1744718864.010137 1744718400.0 `1744718905.010133 1744718400.0 `1744718914.009125 1744718400.0 `1744718924.010136 1744718400.0 `1744718934.010136 1744718400.0 `1744718944.010159 1744718400.0 `1744718954.010137 1744718400.0 `1744718965.010135 1744718400.0 `1744718985.010135 1744718400.0 `1744718994.009126 1744718400.0 `1744718994.009126 1744718400.0 `1744719014.010137 1744718400.0 `1744719014.010137 1744718400.0 `1744719034.010135 1744718400.0 `1744719034.010135 1744718400.0 `1744719045.010135 1744718400.0 `1744719045.010135 1744718400.0 `1744719055.010136 1744718400.0 `1744719064.009143 1744718400.0 `1744719074.010135 1744718400.0 `1744719115.010134 1744718400.0 `1744719115.010134 1744718400.0 `1744719134.009123 1744718400.0 `1744719134.009123 1744718400.0 `1744719154.010134 1744718400.0 `1744719154.010134 1744718400.0 `1744719174.010135 1744718400.0 `1744719174.010135 1744718400.0 `1744719185.010138 1744718400.0 `1744719185.010138 1744718400.0 `1744719205.010136 1744718400.0 `1744719205.010136 1744718400.0 `1744719214.009129 1744718400.0 `1744719214.009129 1744718400.0 `1744719234.010134 1744718400.0 `1744719234.010134 1744718400.0 `1744719244.010165 1744718400.0 `1744719244.010165 1744718400.0 `1744719254.010136 1744718400.0 `1744719254.010136 1744718400.0 `1744719275.010138 1744718400.0 `1744719275.010138 1744718400.0 `1744719294.010136 1744718400.0 `1744719294.010136 1744718400.0 `1744719304.010155 1744719300.0 `1744719304.010155 1744719300.0 `1744719324.010136 1744719300.0 `1744719324.010136 1744719300.0 `1744719335.010136 1744719300.0 `1744719335.010136 1744719300.0 `1744719345.010133 1744719300.0 `1744719345.010133 1744719300.0 `1744719354.009124 1744719300.0 `1744719364.010151 1744719300.0 `1744719405.010134 1744719300.0 `1744719415.010134 1744719300.0 `1744719424.009145 1744719300.0 `1744719444.010134 1744719300.0 `1744719454.010136 1744719300.0 `1744719464.010135 1744719300.0 `1744719474.010135 1744719300.0 `1744719485.01014 1744719300.0 `1744719495.010135 1744719300.0 `1744719514.010135 1744719300.0 `1744719524.010135 1744719300.0 `1744719544.010142 1744719300.0 `1744719565.010136 1744719300.0 `1744719574.009126 1744719300.0 `1744719584.010134 1744719300.0 `1744719625.010134 1744719300.0 `1744719635.010133 1744719300.0 `1744719654.009124 1744719300.0 `1744719664.01014 1744719300.0 `1744719674.010138 1744719300.0 `1744719694.010145 1744719300.0 `1744719705.010136 1744719300.0 `1744719715.010134 1744719300.0 `1744719724.00914 1744719300.0 `1744719734.010138 1744719300.0 `1744719744.010135 1744719300.0 `1744719754.010137 1744719300.0 `1744719764.010139 1744719300.0 `1744719775.010135 1744719300.0 `1744719785.010155 1744719300.0 `1744719794.009129 1744719300.0 `1744719814.010135 1744719300.0 `1744719824.010135 1744719300.0 `1744719834.010135 1744719300.0 `1744719834.010135 1744719300.0 `1744719864.009123 1744719300.0 `1744719864.009123 1744719300.0 `1744719874.010133 1744719300.0 `1744719874.010133 1744719300.0 `1744719884.010134 1744719300.0 `1744719884.010134 1744719300.0 `1744719894.010134 1744719300.0 `1744719904.010133 1744719300.0 `1744719914.010135 1744719300.0 `1744719925.010134 1744719300.0 `1744719935.010141 1744719300.0 `1744719944.009134 1744719300.0 `1744719954.010136 1744719300.0 `1744719964.010185 1744719300.0 `1744719984.010135 1744719300.0 `1744719995.010134 1744719300.0 `1744720014.009125 1744719300.0 `1744720024.01014 1744719300.0 `1744720034.010135 1744719300.0 `1744720044.010136 1744719300.0 `1744720054.010135 1744719300.0 `1744720065.010136 1744719300.0 `1744720075.010143 1744719300.0 `1744720084.009141 1744719300.0 `1744720124.010134 1744719300.0 `1744720145.01015 1744719300.0 `1744720155.010136 1744719300.0 `1744720164.00913 1744719300.0 `1744720174.010147 1744719300.0 `1744720184.010143 1744719300.0 `1744720194.010135 1744719300.0 `1744720205.010148 1744720200.0 `1744720215.010141 1744720200.0 `1744720225.010136 1744720200.0 `1744720244.010134 1744720200.0 `1744720254.010136 1744720200.0 `1744720254.010136 1744720200.0 `1744720264.010138 1744720200.0 `1744720264.010138 1744720200.0 `1744720285.010136 1744720200.0 `1744720285.010136 1744720200.0 `1744720295.010138 1744720200.0 `1744720295.010138 1744720200.0 `1744720304.009127 1744720200.0 `1744720344.010132 1744720200.0 `1744720355.010136 1744720200.0 `1744720365.01014 1744720200.0 `1744720374.009122 1744720200.0 `1744720384.010143 1744720200.0 `1744720394.010134 1744720200.0 `1744720414.010134 1744720200.0 `1744720425.010135 1744720200.0 `1744720435.010156 1744720200.0 `1744720445.010138 1744720200.0 `1744720454.009126 1744720200.0 `1744720464.01014 1744720200.0 `1744720474.010136 1744720200.0 `1744720484.010135 1744720200.0 `1744720494.010139 1744720200.0 `1744720505.010143 1744720200.0 `1744720524.009126 1744720200.0 `1744720544.010135 1744720200.0 `1744720554.010135 1744720200.0 `1744720564.010136 1744720200.0 `1744720604.010135 1744720200.0 `1744720614.010133 1744720200.0 `1744720624.010149 1744720200.0 `1744720634.010136 1744720200.0 `1744720645.010136 1744720200.0 `1744720655.010136 1744720200.0 `1744720665.010137 1744720200.0 `1744720674.009127 1744720200.0 `1744720684.010142 1744720200.0 `1744720704.010136 1744720200.0 `1744720735.010136 1744720200.0 `1744720744.00913 1744720200.0 `1744720754.010135 1744720200.0 `1744720764.010133 1744720200.0 `1744720974.010142 1744720200.0 `1744720984.010139 1744720200.0 `1744720994.010135 1744720200.0 `1744721004.010136 1744720200.0 `1744721015.010141 1744720200.0 `1744721034.009126 1744720200.0 `1744721054.010138 1744720200.0 `1744721085.010136 1744720200.0 `1744721095.010135 1744720200.0 `1744721114.010141 1744721100.0 `1744721124.010135 1744721100.0 `1744721134.010135 1744721100.0 `1744721144.010137 1744721100.0 `1744721155.010135 1744721100.0 `1744721165.010137 1744721100.0 `1744721204.010133 1744721100.0 `1744721214.010135 1744721100.0 `1744721224.010159 1744721100.0 `1744721235.010137 1744721100.0 `1744721245.010136 1744721100.0 `1744721254.009128 1744721100.0 `1744721264.010138 1744721100.0 `1744721274.010139 1744721100.0 `1744721274.010139 1744721100.0 `1744721284.010159 1744721100.0 `1744721284.010159 1744721100.0 `1744721294.010138 1744721100.0 `1744721294.010138 1744721100.0 `1744721315.010142 1744721100.0 `1744721315.010142 1744721100.0 `1744721324.009125 1744721100.0 `1744721324.009125 1744721100.0 `1744721334.010134 1744721100.0 `1744721354.010135 1744721100.0 `1744721364.010134 1744721100.0 `1744721364.010134 1744721100.0 `1744721404.009139 1744721100.0 `1744721404.009139 1744721100.0 `1744721414.010139 1744721100.0 `1744721414.010139 1744721100.0 `1744721424.010136 1744721100.0 `1744721424.010136 1744721100.0 `1744721434.010136 1744721100.0 `1744721434.010136 1744721100.0 `1744721444.010135 1744721100.0 `1744721444.010135 1744721100.0 `1744721455.010136 1744721100.0 `1744721465.010158 1744721100.0 `1744721474.009126 1744721100.0 `1744721484.010138 1744721100.0 `1744721514.010134 1744721100.0 `1744721525.010153 1744721100.0 `1744721535.010138 1744721100.0 `1744721544.009124 1744721100.0 `1744721574.010133 1744721100.0 `1744721584.010139 1744721100.0 `1744721595.010133 1744721100.0 `1744721605.010133 1744721100.0 `1744721614.009123 1744721100.0 `1744721624.010137 1744721100.0 `1744721634.010137 1744721100.0 `1744721644.010145 1744721100.0 `1744721654.01014 1744721100.0 `1744721675.010137 1744721100.0 `1744721685.010137 1744721100.0 `1744721704.010139 1744721100.0 `1744721714.010135 1744721100.0 `1744721724.010137 1744721100.0 `1744721745.010135 1744721100.0 `1744721755.010135 1744721100.0 `1744721755.010135 1744721100.0 `1744721764.009126 1744721100.0 `1744721764.009126 1744721100.0 `1744721774.010136 1744721100.0 `1744721774.010136 1744721100.0 `1744721784.010135 1744721100.0 `1744721784.010135 1744721100.0 `1744721825.010149 1744721100.0 `1744721825.010149 1744721100.0 `1744721835.010133 1744721100.0 `1744721835.010133 1744721100.0 `1744721844.009123 1744721100.0 `1744721844.009123 1744721100.0 `1744721864.010134 1744721100.0 `1744721864.010134 1744721100.0 `1744721874.010134 1744721100.0 `1744721885.010153 1744721100.0 `1744721895.010136 1744721100.0 `1744721905.010143 1744721100.0 `1744721914.009128 1744721100.0 `1744721924.010138 1744721100.0 `1744721934.010136 1744721100.0 `1744721954.011005 1744721100.0 `1744721963.009131 1744721100.0 `1744721973.010136 1744721100.0 `1744721983.010135 1744721100.0 `1744721993.010135 1744721100.0 `1744722004.010135 1744722000.0 `1744722033.009125 1744722000.0 `1744722043.010135 1744722000.0 `1744722053.010135 1744722000.0 `1744722063.010149 1744722000.0 `1744722074.010137 1744722000.0 `1744722084.010134 1744722000.0 `1744722094.010137 1744722000.0 `1744722103.009135 1744722000.0 `1744722113.010137 1744722000.0 `1744722133.010141 1744722000.0 `1744722143.010137 1744722000.0 `1744722154.010137 1744722000.0 `1744722164.010137 1744722000.0 `1744722173.009126 1744722000.0 `1744722193.01014 1744722000.0 `1744722213.010136 1744722000.0 `1744722224.010138 1744722000.0 `1744722234.010135 1744722000.0 `1744722253.009129 1744722000.0 `1744722273.010139 1744722000.0 `1744722294.010137 1744722000.0 `1744722304.010148 1744722000.0 `1744722343.010132 1744722000.0 `1744722363.01014 1744722000.0 `1744722374.010133 1744722000.0 `1744722393.009126 1744722000.0 `1744722403.010137 1744722000.0 `1744722413.010134 1744722000.0 `1744722423.010152 1744722000.0 `1744722433.010136 1744722000.0 `1744722444.010143 1744722000.0 `1744722464.010136 1744722000.0 `1744722483.010138 1744722000.0 `1744722503.010138 1744722000.0 `1744722524.010136 1744722000.0 `1744722534.010138 1744722000.0 `1744722543.009129 1744722000.0 `1744722583.010135 1744722000.0 `1744722604.01014 1744722000.0 `1744722613.009126 1744722000.0 `1744722633.010137 1744722000.0 `1744722643.010135 1744722000.0 `1744722653.010135 1744722000.0 `1744722664.010137 1744722000.0 `1744722674.010137 1744722000.0 `1744722684.01014 1744722000.0 `1744722703.010135 1744722000.0 `1744722713.010139 1744722000.0 `1744722723.010148 1744722000.0 `1744722734.01014 1744722000.0 `1744722744.010134 1744722000.0 `1744722773.010133 1744722000.0 `1744722783.010138 1744722000.0 `1744722803.010137 1744722000.0 `1744722823.010144 1744722000.0 `1744722833.010135 1744722000.0 `1744722844.010147 1744722000.0 `1744722854.010136 1744722000.0 `1744722864.010137 1744722000.0 `1744722873.009131 1744722000.0 `1744722883.010137 1744722000.0 `1744722893.010134 1744722000.0 `1744722914.010134 1744722900.0 `1744722924.010135 1744722900.0 `1744722934.010134 1744722900.0 `1744722983.010134 1744722900.0 `1744722994.010132 1744722900.0 `1744723033.010134 1744722900.0 `1744723053.010139 1744722900.0 `1744723064.010137 1744722900.0 `1744723084.010139 1744722900.0 `1744723103.010134 1744722900.0 `1744723193.010136 1744722900.0 `1744723203.010147 1744722900.0 `1744723214.010139 1744722900.0 `1744723224.010132 1744722900.0 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, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375], [376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438], [439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.01990365982055664 ***** 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': '15042025', 'map_nb_amount': {0: 2, 1: 12, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 160.00000095367432, 'nb_balles_papier': 0.00014000000000000001, 'begin_time_port': 'image_15042025_13_38_44_010133m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00014000000000000001 We reject this portfolio because of the condition_save_data : 2025-04-15 13:38:44.010133 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '15042025', 'map_nb_amount': {0: 5, 1: 42, 2: 7, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 739.9999990463257, 'nb_balles_papier': 0.0005500000000000008, 'begin_time_port': 'image_15042025_13_46_34_10136.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005500000000000008 We reject this portfolio because of the condition_save_data : 2025-04-15 13:46:34.010136 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': '15042025', 'map_nb_amount': {0: 6, 1: 56, 2: 9, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 879.9999439716339, 'nb_balles_papier': 0.0007200000000000012, 'begin_time_port': 'image_15042025_14_00_14_010192m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007200000000000012 We reject this portfolio because of the condition_save_data : 2025-04-15 14:00:14.010192 ERROR missing amount info result_one_balle_Type_JRM:{'day': '15042025', 'map_nb_amount': {0: 3, 1: 47, 2: 25, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999799728394, 'nb_balles_papier': 0.0007500000000000013, 'begin_time_port': 'image_15042025_14_15_04_010155m0.jpg 1e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007500000000000013 We reject this portfolio because of the condition_save_data : 2025-04-15 14:15:04.010155 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': '15042025', 'map_nb_amount': {0: 9, 1: 31, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999868869781, 'nb_balles_papier': 0.0004800000000000006, 'begin_time_port': 'image_15042025_14_30_05_10148.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004800000000000006 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': '15042025', 'map_nb_amount': {0: 6, 1: 51, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 878.9999940395355, 'nb_balles_papier': 0.000630000000000001, 'begin_time_port': 'image_15042025_14_45_14_010141m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.000630000000000001 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': '15042025', 'map_nb_amount': {0: 2, 1: 37, 2: 12, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 888.9999990463257, 'nb_balles_papier': 0.0005100000000000007, 'begin_time_port': 'image_15042025_15_00_04_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) : 0.0005100000000000007 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': '15042025', 'map_nb_amount': {0: 0, 1: 2, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 309.99999809265137, 'nb_balles_papier': 2e-05, 'begin_time_port': 'image_15042025_15_15_14_10134.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 2e-05 We have rejected 1 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 4 Still a lot to verify ! Still a lot to verify ! Still a lot to verify ! We need to add photos : {1349911912, 1349911881, 1349911787, 1349911891, 1349911870} Still a lot to verify ! Qualite : 0.07490852493073792 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`=22031305 AND mptpi.`type`=3726 To do Qualite : 0.0673990057763429 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`=22032110 AND mptpi.`type`=3726 To do Qualite : 0.04123487982642538 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`=22032679 AND mptpi.`type`=3726 To do Qualite : 0.0388118637553385 Since we have set only the same portfolio in list_same_port_ids, it means the datou_current is finished and we need to re-insert it with the same id to finish the job (if we added new photos to the portfolio) We may have found the correct datou result for the same portfolio, but we will rerun it, since the portfolio may have been updated ! 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`=22033468 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.6769440174102783 # DISPLAY ALL COLLECTED DATA : {'15042025': {'nb_upload': 453, 'nb_taggue_class': 455, 'nb_taggue_densite': 455}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1349911912, 1349911891, 1349911881, 1349911870, 1349911787, 1349911707, 1349911683, 1349911369, 1349911366, 1349911363, 1349911291, 1349911285, 1349911170, 1349911163, 1349911158, 1349911072, 1349911045, 1349911026, 1349911022, 1349911010, 1349910956, 1349910655, 1349910626, 1349910600, 1349910574, 1349910415, 1349910395, 1349910390, 1349910361, 1349910013, 1349909991, 1349909961, 1349909931, 1349909885, 1349909473, 1349909464, 1349909460, 1349909456, 1349909452, 1349909332, 1349909327, 1349909037, 1349909032, 1349909026, 1349908967, 1349908827, 1349908817, 1349908809, 1349908797, 1349908744, 1349908739, 1349908735, 1349908732, 1349908727, 1349908631, 1349908602, 1349908378, 1349908343, 1349908309, 1349907890, 1349907862, 1349907837, 1349907811, 1349907444, 1349907405, 1349907382, 1349907356, 1349907320, 1349906492, 1349906423, 1349906360, 1349906296, 1349906217, 1349906150, 1349905502, 1349905443, 1349905361, 1349905290, 1349905214, 1349905189, 1349905161, 1349905137, 1349905111, 1349904994, 1349904962, 1349904934, 1349904897, 1349904843, 1349904795, 1349904539, 1349904538, 1349904533, 1349904531, 1349904520, 1349904518, 1349904511, 1349904508, 1349904498, 1349904497, 1349904379] Looping around the photos to save general results len do output : 1 /22024890Didn'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, '2722008') ('4876', '22024890', '1349911912', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911891', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911881', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911870', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911787', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911707', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911683', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911369', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911366', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911363', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911291', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911285', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911170', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911163', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911158', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911072', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911045', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911026', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911022', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349911010', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349910956', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349910655', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349910626', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349910600', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349910574', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349910415', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349910395', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349910390', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349910361', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349910013', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909991', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909961', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909931', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909885', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909473', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909464', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909460', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909456', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909452', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909332', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909327', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909037', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909032', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349909026', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908967', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908827', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908817', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908809', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908797', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908744', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908739', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908735', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908732', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908727', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908631', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908602', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908378', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908343', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349908309', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349907890', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349907862', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349907837', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349907811', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349907444', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349907405', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349907382', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349907356', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349907320', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349906492', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349906423', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349906360', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349906296', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349906217', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349906150', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349905502', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349905443', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349905361', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349905290', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349905214', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349905189', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349905161', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349905137', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349905111', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904994', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904962', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904934', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904897', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904843', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904795', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904539', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904538', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904533', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904531', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904520', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904518', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904511', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904508', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904498', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904497', None, None, None, None, None, '2722008') ('4876', None, None, None, None, None, None, None, '2722008') ('4876', '22024890', '1349904379', None, None, None, None, None, '2722008') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.024531126022338867 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.9568996429443359 time spend to save output : 0.025384187698364258 total time spend for step 1 : 0.9822838306427002 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 0.57system 0:03.77elapsed 49%CPU (0avgtext+0avgdata 102972maxresident)k 0inputs+120outputs (0major+49577minor)pagefaults 0swaps