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 : 2827987 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 : 4121>1000 please execute split_portfolio.py -i 20899997 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2625049'] with mtr_portfolio_ids : ['20899997'] and first list_photo_ids : [] new path : /proc/2827987/ 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 : 0.03452181816101074 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Feb 28 20:34:26 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('00', 179), ('01', 91), ('02', 259), ('03', 272), ('04', 42), ('05', 256), ('06', 274), ('07', 286), ('08', 298), ('09', 138), ('10', 300), ('11', 270), ('12', 60), ('13', 82), ('14', 187), ('15', 181), ('16', 241), ('17', 142), ('18', 153), ('19', 237), ('20', 173)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 3859} 28022025 20899997 Nombre de photos uploadées : 529 / 23040 (2%) 28022025 20899997 Nombre de photos taguées (types de déchets): 3859 / 529 (729%) 28022025 20899997 Nombre de photos taguées (volume) : 3859 / 529 (729%) elapsed_time : load_data_split_time_score 4.0531158447265625e-06 elapsed_time : order_list_meta_photo_and_scores 0.0017333030700683594 ?????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.021702289581298828 elapsed_time : insert_dashboard_record_day_entry 0.022623777389526367 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 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 0.020286083221435547 photos_removed : len 0 elapsed_time : load_duplicate_info 0.02922368049621582 ***** BEGIN SPLIT TIME ***** True 1740700800.0 `1740764033.009128 1740763800.0 `1740764043.010136 1740763800.0 `1740764064.010138 1740763800.0 `1740764134.010145 1740763800.0 `1740764144.010142 1740763800.0 `1740764154.010139 1740763800.0 `1740764164.010151 1740763800.0 `1740764204.010145 1740763800.0 `1740764214.010138 1740763800.0 `1740764234.010142 1740763800.0 `1740764253.010141 1740763800.0 `1740764274.010138 1740763800.0 `1740764284.010142 1740763800.0 `1740764323.009126 1740763800.0 `1740764333.010133 1740763800.0 `1740764343.010142 1740763800.0 `1740764354.010137 1740763800.0 `1740764364.010136 1740763800.0 `1740764374.010146 1740763800.0 `1740764384.010138 1740763800.0 `1740764393.009129 1740763800.0 `1740764403.010147 1740763800.0 `1740764413.010138 1740763800.0 `1740764424.010138 1740763800.0 `1740764434.010136 1740763800.0 `1740764444.010135 1740763800.0 `1740764454.01014 1740763800.0 `1740764463.009156 1740763800.0 `1740764504.010136 1740763800.0 `1740764514.01014 1740763800.0 `1740764524.010173 1740763800.0 `1740764533.00913 1740763800.0 `1740764553.010142 1740763800.0 `1740764564.01014 1740763800.0 `1740764574.01014 1740763800.0 `1740764584.010156 1740763800.0 `1740764594.010137 1740763800.0 `1740764603.009137 1740763800.0 `1740764613.010136 1740763800.0 `1740764644.010168 1740763800.0 `1740764654.010138 1740763800.0 `1740764673.009131 1740763800.0 `1740764683.01014 1740763800.0 `1740764693.010139 1740763800.0 `1740764704.010154 1740764700.0 `1740764714.010139 1740764700.0 `1740764734.010138 1740764700.0 `1740764743.009127 1740764700.0 `1740764753.01014 1740764700.0 `1740764763.010189 1740764700.0 `1740764774.010141 1740764700.0 `1740764784.010139 1740764700.0 `1740764794.010137 1740764700.0 `1740764823.010157 1740764700.0 `1740764833.010141 1740764700.0 `1740764844.010136 1740764700.0 `1740764854.010141 1740764700.0 `1740764864.010141 1740764700.0 `1740764874.01014 1740764700.0 `1740764883.009136 1740764700.0 `1740764893.010145 1740764700.0 `1740764903.010136 1740764700.0 `1740764914.010138 1740764700.0 `1740764924.010136 1740764700.0 `1740764934.010142 1740764700.0 `1740764944.010139 1740764700.0 `1740764953.009124 1740764700.0 `1740764983.010136 1740764700.0 `1740764994.010135 1740764700.0 `1740765004.010161 1740764700.0 `1740765014.010142 1740764700.0 `1740765024.010136 1740764700.0 `1740765033.009134 1740764700.0 `1740765043.010149 1740764700.0 `1740765053.010135 1740764700.0 `1740765064.010159 1740764700.0 `1740765074.010141 1740764700.0 `1740765084.010145 1740764700.0 `1740765113.010137 1740764700.0 `1740765123.010143 1740764700.0 `1740765134.010136 1740764700.0 `1740765144.010135 1740764700.0 `1740765154.010143 1740764700.0 `1740765164.010137 1740764700.0 `1740765173.009127 1740764700.0 `1740765183.010152 1740764700.0 `1740765193.010138 1740764700.0 `1740765204.010136 1740764700.0 `1740765214.010136 1740764700.0 `1740765224.010137 1740764700.0 `1740765234.010137 1740764700.0 `1740765243.009148 1740764700.0 `1740765253.01014 1740764700.0 `1740765263.010137 1740764700.0 `1740765274.010133 1740764700.0 `1740765304.010152 1740764700.0 `1740765313.009124 1740764700.0 `1740765323.010141 1740764700.0 `1740765333.010145 1740764700.0 `1740765344.010141 1740764700.0 `1740765354.010138 1740764700.0 `1740765364.010157 1740764700.0 `1740765374.01014 1740764700.0 `1740765383.009128 1740764700.0 `1740765393.010139 1740764700.0 `1740765403.010138 1740764700.0 `1740765414.010138 1740764700.0 `1740765424.010172 1740764700.0 `1740765434.010139 1740764700.0 `1740765444.010137 1740764700.0 `1740765453.009126 1740764700.0 `1740765494.010137 1740764700.0 `1740765504.010135 1740764700.0 `1740765524.010142 1740764700.0 `1740765533.009128 1740764700.0 `1740765554.011011 1740764700.0 `1740765563.009131 1740764700.0 `1740765583.010139 1740764700.0 `1740765593.010139 1740764700.0 `1740765603.010142 1740765600.0 `1740765614.010136 1740765600.0 `1740765624.010136 1740765600.0 `1740765663.010167 1740765600.0 `1740765673.010137 1740765600.0 `1740765684.010135 1740765600.0 `1740765694.010145 1740765600.0 `1740765703.009134 1740765600.0 `1740765713.010137 1740765600.0 `1740765723.01016 1740765600.0 `1740765733.01014 1740765600.0 `1740765743.010137 1740765600.0 `1740765754.010137 1740765600.0 `1740765764.010136 1740765600.0 `1740765773.009127 1740765600.0 `1740765783.01015 1740765600.0 `1740765793.010141 1740765600.0 `1740765803.010141 1740765600.0 `1740765834.010137 1740765600.0 `1740765843.009138 1740765600.0 `1740765853.010159 1740765600.0 `1740765863.010138 1740765600.0 `1740765873.010144 1740765600.0 `1740765883.010141 1740765600.0 `1740765894.010135 1740765600.0 `1740765904.010163 1740765600.0 `1740765923.010135 1740765600.0 `1740765933.010135 1740765600.0 `1740765943.010136 1740765600.0 `1740765974.010132 1740765600.0 `1740765983.009123 1740765600.0 `1740765993.010143 1740765600.0 `1740766003.01014 1740765600.0 `1740766013.010138 1740765600.0 `1740766023.01015 1740765600.0 `1740766034.010135 1740765600.0 `1740766043.00936 1740765600.0 `1740766053.010134 1740765600.0 `1740766063.010134 1740765600.0 `1740766073.010136 1740765600.0 `1740766083.010164 1740765600.0 `1740766094.010135 1740765600.0 `1740766104.010134 1740765600.0 `1740766113.009123 1740765600.0 `1740766143.010151 1740765600.0 `1740766153.010137 1740765600.0 `1740766164.010133 1740765600.0 `1740766174.010138 1740765600.0 `1740766183.009138 1740765600.0 `1740766193.010139 1740765600.0 `1740766203.010136 1740765600.0 `1740766213.01014 1740765600.0 `1740766223.010137 1740765600.0 `1740766233.010137 1740765600.0 `1740766244.010141 1740765600.0 `1740766254.01014 1740765600.0 `1740766263.009129 1740765600.0 `1740766273.010142 1740765600.0 `1740766293.010135 1740765600.0 `1740766303.010135 1740765600.0 `1740766363.010141 1740765600.0 `1740766394.010135 1740765600.0 `1740766403.009126 1740765600.0 `1740766413.010141 1740765600.0 `1740766423.010146 1740765600.0 `1740766433.010135 1740765600.0 `1740766443.010152 1740765600.0 `1740766454.010136 1740765600.0 `1740766464.010136 1740765600.0 `1740766473.009126 1740765600.0 `1740766483.010137 1740765600.0 `1740766493.010138 1740765600.0 `1740766503.010164 1740766500.0 `1740766513.010138 1740766500.0 `1740766553.010137 1740766500.0 `1740766563.010185 1740766500.0 `1740766573.010146 1740766500.0 `1740766583.010135 1740766500.0 `1740766594.010136 1740766500.0 `1740766604.010139 1740766500.0 `1740766613.009128 1740766500.0 `1740766623.010149 1740766500.0 `1740766633.010139 1740766500.0 `1740766643.010136 1740766500.0 `1740766653.010138 1740766500.0 `1740766664.010135 1740766500.0 `1740766693.00913 1740766500.0 `1740766703.010133 1740766500.0 `1740766713.010135 1740766500.0 `1740766723.010138 1740766500.0 `1740766733.01014 1740766500.0 `1740766744.010164 1740766500.0 `1740766754.010136 1740766500.0 `1740766763.009125 1740766500.0 `1740766773.010135 1740766500.0 `1740766783.010139 1740766500.0 `1740766793.010137 1740766500.0 `1740766814.010133 1740766500.0 `1740766824.010135 1740766500.0 `1740766833.009125 1740766500.0 `1740766843.010137 1740766500.0 `1740766853.010146 1740766500.0 `1740766863.010146 1740766500.0 `1740766873.010136 1740766500.0 `1740766884.010137 1740766500.0 `1740766894.010137 1740766500.0 `1740766903.009127 1740766500.0 `1740766913.010136 1740766500.0 `1740766923.010148 1740766500.0 `1740766933.010137 1740766500.0 `1740766954.010134 1740766500.0 `1740766964.010134 1740766500.0 `1740766974.010137 1740766500.0 `1740766983.00914 1740766500.0 `1740766993.010141 1740766500.0 `1740767003.010141 1740766500.0 `1740767013.010138 1740766500.0 `1740767023.01014 1740766500.0 `1740767034.010139 1740766500.0 `1740767044.010153 1740766500.0 `1740767053.009126 1740766500.0 `1740767063.010135 1740766500.0 `1740767073.010135 1740766500.0 `1740767083.010136 1740766500.0 `1740767114.01014 1740766500.0 `1740767123.009129 1740766500.0 `1740767133.010135 1740766500.0 `1740767143.010139 1740766500.0 `1740767153.010147 1740766500.0 `1740767163.010161 1740766500.0 `1740767254.010146 1740766500.0 `1740767263.009128 1740766500.0 `1740767293.010138 1740766500.0 `1740767303.010133 1740766500.0 `1740767314.010142 1740766500.0 `1740767324.010141 1740766500.0 `1740767334.010141 1740766500.0 `1740767343.009139 1740766500.0 `1740767353.010142 1740766500.0 `1740767363.010145 1740766500.0 `1740767373.010139 1740766500.0 `1740767394.01014 1740766500.0 `1740767404.010144 1740767400.0 `1740767413.009123 1740767400.0 `1740767433.010135 1740767400.0 `1740767443.010136 1740767400.0 `1740767474.010134 1740767400.0 `1740767483.009123 1740767400.0 `1740767493.010141 1740767400.0 `1740767503.010142 1740767400.0 `1740767513.010137 1740767400.0 `1740767523.010142 1740767400.0 `1740767534.010138 1740767400.0 `1740767544.010135 1740767400.0 `1740767553.009125 1740767400.0 `1740767563.010137 1740767400.0 `1740767604.010143 1740767400.0 `1740767614.010134 1740767400.0 `1740767624.010137 1740767400.0 `1740767633.009125 1740767400.0 `1740767643.010149 1740767400.0 `1740767653.010148 1740767400.0 `1740767663.010137 1740767400.0 `1740767673.010142 1740767400.0 `1740767684.010141 1740767400.0 `1740767703.009141 1740767400.0 `1740767723.010143 1740767400.0 `1740767733.010137 1740767400.0 `1740767743.010141 1740767400.0 `1740767773.009154 1740767400.0 `1740767783.010136 1740767400.0 `1740767793.010141 1740767400.0 `1740767803.01014 1740767400.0 `1740767813.010138 1740767400.0 `1740767824.010152 1740767400.0 `1740767834.010137 1740767400.0 `1740767843.009125 1740767400.0 `1740767853.010136 1740767400.0 `1740767863.010137 1740767400.0 `1740767873.010136 1740767400.0 `1740767883.01014 1740767400.0 `1740767894.01014 1740767400.0 `1740767923.010135 1740767400.0 `1740767933.010134 1740767400.0 `1740767943.010157 1740767400.0 `1740767953.01014 1740767400.0 `1740767964.010147 1740767400.0 `1740767974.010146 1740767400.0 `1740767983.00913 1740767400.0 `1740767993.010136 1740767400.0 `1740768003.010151 1740767400.0 `1740768013.010139 1740767400.0 `1740768044.010135 1740767400.0 `1740768053.009126 1740767400.0 `1740768063.010138 1740767400.0 `1740768073.01014 1740767400.0 `1740768083.010136 1740767400.0 `1740768093.01014 1740767400.0 `1740768103.010142 1740767400.0 `1740768703.010139 1740768300.0 `1740768713.010142 1740768300.0 `1740768734.010135 1740768300.0 `1740768744.010135 1740768300.0 `1740768753.00913 1740768300.0 `1740768763.010137 1740768300.0 `1740768773.010136 1740768300.0 `1740768783.010149 1740768300.0 `1740768793.010138 1740768300.0 `1740768804.010134 1740768300.0 `1740768814.010136 1740768300.0 `1740768824.010139 1740768300.0 `1740768833.009127 1740768300.0 `1740768884.010136 1740768300.0 `1740768894.010136 1740768300.0 `1740768903.009126 1740768300.0 `1740768913.01014 1740768300.0 `1740768923.010136 1740768300.0 `1740768933.010144 1740768300.0 `1740768943.010143 1740768300.0 `1740768964.010144 1740768300.0 `1740768973.009131 1740768300.0 `1740768983.01014 1740768300.0 `1740768993.010137 1740768300.0 `1740769003.010139 1740768300.0 `1740769043.009129 1740768300.0 `1740769053.010135 1740768300.0 `1740769063.010139 1740768300.0 `1740769073.010138 1740768300.0 `1740769083.010146 1740768300.0 `1740769094.010136 1740768300.0 `1740769104.010134 1740768300.0 `1740769114.010136 1740768300.0 `1740769123.009126 1740768300.0 `1740769133.010134 1740768300.0 `1740769153.010023 1740768300.0 `1740769163.010143 1740768300.0 `1740769193.010134 1740768300.0 `1740769204.01014 1740769200.0 `1740769214.010136 1740769200.0 `1740769224.010137 1740769200.0 `1740769233.009125 1740769200.0 `1740769243.010136 1740769200.0 `1740769253.010135 1740769200.0 `1740769263.010135 1740769200.0 `1740769273.010136 1740769200.0 `1740769284.010135 1740769200.0 `1740769294.010135 1740769200.0 `1740769303.009128 1740769200.0 `1740769313.010137 1740769200.0 `1740769323.010136 1740769200.0 `1740769343.010133 1740769200.0 `1740769354.010133 1740769200.0 `1740769364.010135 1740769200.0 `1740769373.009132 1740769200.0 `1740769383.010136 1740769200.0 `1740769393.010139 1740769200.0 `1740769403.010136 1740769200.0 `1740769413.010143 1740769200.0 `1740769424.010133 1740769200.0 `1740769434.010136 1740769200.0 `1740769444.010136 1740769200.0 `1740769483.010134 1740769200.0 `1740769493.010138 1740769200.0 `1740769504.010151 1740769200.0 `1740769514.010142 1740769200.0 `1740769523.009124 1740769200.0 `1740769533.010144 1740769200.0 `1740769543.010141 1740769200.0 `1740769553.010137 1740769200.0 `1740769563.010141 1740769200.0 `1740769574.010138 1740769200.0 `1740769584.010136 1740769200.0 `1740769623.010155 1740769200.0 `1740769633.010135 1740769200.0 `1740769644.010135 1740769200.0 `1740769654.01014 1740769200.0 `1740769664.010138 1740769200.0 `1740769673.009129 1740769200.0 `1740769683.010173 1740769200.0 `1740769693.010139 1740769200.0 `1740769703.010134 1740769200.0 `1740769714.010135 1740769200.0 `1740769724.010136 1740769200.0 `1740769734.010137 1740769200.0 `1740769763.010134 1740769200.0 `1740769773.010134 1740769200.0 `1740769783.010135 1740769200.0 `1740769794.010136 1740769200.0 `1740769804.010138 1740769200.0 `1740769813.009133 1740769200.0 `1740769823.010136 1740769200.0 `1740769833.010136 1740769200.0 `1740769843.010141 1740769200.0 `1740769853.01014 1740769200.0 `1740769864.01016 1740769200.0 `1740769874.01014 1740769200.0 `1740769903.010133 1740769200.0 `1740769913.010138 1740769200.0 `1740769923.010141 1740769200.0 `1740769934.010143 1740769200.0 `1740769944.010138 1740769200.0 `1740769953.009127 1740769200.0 `1740769963.010137 1740769200.0 `1740769973.010137 1740769200.0 `1740769983.010157 1740769200.0 `1740769993.010135 1740769200.0 `1740770004.010135 1740769200.0 `1740770014.010136 1740769200.0 `1740770053.010134 1740769200.0 `1740770063.010134 1740769200.0 `1740770073.010139 1740769200.0 `1740770084.010141 1740769200.0 `1740770094.010136 1740769200.0 `1740770103.009126 1740770100.0 `1740770113.010136 1740770100.0 `1740770123.010135 1740770100.0 `1740770133.010135 1740770100.0 `1740770143.010138 1740770100.0 `1740770154.010136 1740770100.0 `1740770164.010138 1740770100.0 `1740770173.009127 1740770100.0 `1740770203.010135 1740770100.0 `1740770213.010138 1740770100.0 `1740770224.010152 1740770100.0 `1740770234.01014 1740770100.0 `1740770244.010142 1740770100.0 `1740770253.009127 1740770100.0 `1740770263.010138 1740770100.0 `1740770273.010143 1740770100.0 `1740770283.010139 1740770100.0 `1740770294.010135 1740770100.0 `1740770304.010134 1740770100.0 `1740770333.010134 1740770100.0 `1740770343.01014 1740770100.0 `1740770353.010136 1740770100.0 `1740770363.010136 1740770100.0 `1740770374.010138 1740770100.0 `1740770384.010139 1740770100.0 `1740770393.009126 1740770100.0 `1740770403.010174 1740770100.0 `1740770413.010137 1740770100.0 `1740770423.010135 1740770100.0 `1740770433.010134 1740770100.0 `1740770444.010136 1740770100.0 `1740770454.010133 1740770100.0 `1740770473.010137 1740770100.0 `1740770483.010139 1740770100.0 `1740770493.010134 1740770100.0 `1740770503.010136 1740770100.0 `1740770514.010136 1740770100.0 `1740770524.010146 1740770100.0 `1740770534.010137 1740770100.0 `1740770543.009125 1740770100.0 `1740770553.010134 1740770100.0 `1740770563.010137 1740770100.0 `1740770583.010149 1740770100.0 `1740770594.010137 1740770100.0 `1740770604.01014 1740770100.0 `1740770613.009124 1740770100.0 `1740770623.010137 1740770100.0 `1740770633.010136 1740770100.0 `1740770643.010138 1740770100.0 `1740770653.010138 1740770100.0 `1740770664.010133 1740770100.0 `1740770674.010134 1740770100.0 `1740770683.009123 1740770100.0 `1740770693.010135 1740770100.0 `1740770703.010149 1740770100.0 `1740770713.010145 1740770100.0 `1740770723.010136 1740770100.0 `1740770734.010139 1740770100.0 `1740770744.010138 1740770100.0 `1740770754.010138 1740770100.0 `1740770763.009134 1740770100.0 `1740770773.010144 1740770100.0 `1740770783.010134 1740770100.0 `1740770814.010141 1740770100.0 `1740770823.009155 1740770100.0 `1740770833.010145 1740770100.0 `1740770843.010139 1740770100.0 `1740770853.010135 1740770100.0 `1740770863.010134 1740770100.0 `1740770874.010137 1740770100.0 `1740770884.010145 1740770100.0 `1740770893.009126 1740770100.0 `1740770923.010133 1740770100.0 `1740770933.010134 1740770100.0 `1740770944.010136 1740770100.0 `1740770954.010137 1740770100.0 `1740770963.009124 1740770100.0 `1740770973.01014 1740770100.0 `1740770983.010141 1740770100.0 `1740770993.010134 1740770100.0 `1740771003.010174 1740771000.0 `1740771014.01014 1740771000.0 `1740771024.010136 1740771000.0 `1740771053.010136 1740771000.0 `1740771063.010152 1740771000.0 `1740771073.010139 1740771000.0 `1740771084.010142 1740771000.0 `1740771094.010135 1740771000.0 `1740771104.010137 1740771000.0 `1740771113.009126 1740771000.0 `1740771123.010134 1740771000.0 `1740771133.010158 1740771000.0 `1740771143.010135 1740771000.0 `1740771153.010136 1740771000.0 `1740771164.010135 1740771000.0 `1740771213.010134 1740771000.0 `1740771223.010134 1740771000.0 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, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511], [512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.02153921127319336 ***** 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': '28022025', 'map_nb_amount': {0: 5, 1: 37, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 660.0010108947754, 'nb_balles_papier': 0.0004400000000000005, 'begin_time_port': 'image_28022025_18_33_53_009128m0.jpg 2e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004400000000000005 We reject this portfolio because of the condition_save_data : 2025-02-28 18:33:53.009128 result_one_balle_Type_JRM:{'day': '28022025', 'map_nb_amount': {0: 15, 1: 54, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 888.9999849796295, 'nb_balles_papier': 0.0007500000000000013, 'begin_time_port': 'image_28022025_18_45_04_010154m0.jpg 1e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007500000000000013 We reject this portfolio because of the condition_save_data : 2025-02-28 18:45:04.010154 ERROR missing amount info result_one_balle_Type_JRM:{'day': '28022025', 'map_nb_amount': {0: 7, 1: 54, 2: 10, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999959468842, 'nb_balles_papier': 0.0007100000000000012, 'begin_time_port': 'image_28022025_19_00_03_010142m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007100000000000012 We reject this portfolio because of the condition_save_data : 2025-02-28 19:00:03.010142 ERROR missing amount info result_one_balle_Type_JRM:{'day': '28022025', 'map_nb_amount': {0: 9, 1: 55, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 890.9999759197235, 'nb_balles_papier': 0.0006900000000000012, 'begin_time_port': 'image_28022025_19_15_03_010164m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006900000000000012 We reject this portfolio because of the condition_save_data : 2025-02-28 19:15:03.010164 result_one_balle_Type_JRM:{'day': '28022025', 'map_nb_amount': {0: 6, 1: 45, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 698.9999980926514, 'nb_balles_papier': 0.0005700000000000008, 'begin_time_port': 'image_28022025_19_30_04_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) : 0.0005700000000000008 We reject this portfolio because of the condition_save_data : 2025-02-28 19:30:04.010144 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 result_one_balle_Type_JRM:{'day': '28022025', 'map_nb_amount': {0: 2, 1: 22, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 489.99999499320984, 'nb_balles_papier': 0.0002900000000000001, 'begin_time_port': 'image_28022025_19_51_43_010139m0.jpg 1e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0002900000000000001 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 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': '28022025', 'map_nb_amount': {0: 6, 1: 33, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999959468842, 'nb_balles_papier': 0.0004100000000000004, 'begin_time_port': 'image_28022025_20_00_04_10140.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004100000000000004 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 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': '28022025', 'map_nb_amount': {0: 8, 1: 36, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 890.0010080337524, 'nb_balles_papier': 0.00045000000000000053, 'begin_time_port': 'image_28022025_20_15_03_009126m0.jpg 1e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00045000000000000053 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 result_one_balle_Type_JRM:{'day': '28022025', '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': 219.9999599456787, 'nb_balles_papier': 0, 'begin_time_port': 'image_28022025_20_30_03_10174.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We have rejected 0 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 ! Still a lot to verify ! list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=JRM_diff_batch__28022025_20_30_03_010174&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Qualite : 0.10675708385257064 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`=20939195 AND mptpi.`type`=3726 To do Qualite : 0.10366553235344286 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`=20939475 AND mptpi.`type`=3726 To do Qualite : 0.113962730214793 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`=20940145 AND mptpi.`type`=3726 To do There was a bug due to new port without datou_current_id # 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`=20940802 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 4.502278089523315 # DISPLAY ALL COLLECTED DATA : {'28022025': {'nb_upload': 529, 'nb_taggue_class': 3859, 'nb_taggue_densite': 3859}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1340213716, 1340213709, 1340213687, 1340213606, 1340213600, 1340213595, 1340213591, 1340213587, 1340213567, 1340213552, 1340213539, 1340213534, 1340213531, 1340213528, 1340213343, 1340213243, 1340213241, 1340213237, 1340213209, 1340213193, 1340213189, 1340213184, 1340213180, 1340213175, 1340213119, 1340213114, 1340213111, 1340213107, 1340213093, 1340213089, 1340213083, 1340213075, 1340213063, 1340213056, 1340213015, 1340213008, 1340213002, 1340212998, 1340212977, 1340212970, 1340212961, 1340212949, 1340212937, 1340212933, 1340212907, 1340212901, 1340212894, 1340212889, 1340212884, 1340212879, 1340212863, 1340212857, 1340212850, 1340212847, 1340212833, 1340212822, 1340212783, 1340212780, 1340212776, 1340212772, 1340212769, 1340212483, 1340212473, 1340212469, 1340212466, 1340212462, 1340212203, 1340212197, 1340212171, 1340212153, 1340212118, 1340212006, 1340211686, 1340211680, 1340211675, 1340211670, 1340211663, 1340211658, 1340211607, 1340211602, 1340211598, 1340211593, 1340211567, 1340211565, 1340211562, 1340211558, 1340211554, 1340211550, 1340211486, 1340211475, 1340211469, 1340211466, 1340211380, 1340211287, 1340211281, 1340211273, 1340211266, 1340211252, 1340211007, 1340211003] Looping around the photos to save general results len do output : 1 /20899997Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213716', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213709', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213687', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213606', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213600', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213595', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213591', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213587', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213567', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213552', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213539', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213534', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213531', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213528', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213343', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213243', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213241', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213237', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213209', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213193', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213189', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213184', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213180', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213175', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213119', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213114', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213111', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213107', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213093', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213089', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213083', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213075', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213063', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213056', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213015', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213008', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340213002', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212998', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212977', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212970', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212961', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212949', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212937', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212933', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212907', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212901', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212894', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212889', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212884', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212879', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212863', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212857', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212850', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212847', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212833', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212822', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212783', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212780', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212776', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212772', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212769', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212483', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212473', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212469', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212466', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212462', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212203', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212197', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212171', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212153', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212118', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340212006', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211686', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211680', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211675', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211670', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211663', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211658', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211607', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211602', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211598', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211593', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211567', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211565', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211562', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211558', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211554', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211550', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211486', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211475', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211469', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211466', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211380', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211287', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211281', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211273', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211266', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211252', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211007', None, None, None, None, None, '2625049') ('4876', None, None, None, None, None, None, None, '2625049') ('4876', '20899997', '1340211003', None, None, None, None, None, '2625049') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.026953697204589844 save_final save missing photos in datou_result : time spend for datou_step_exec : 5.000476598739624 time spend to save output : 0.027767419815063477 total time spend for step 1 : 5.0282440185546875 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 1.27user 0.97system 0:06.75elapsed 33%CPU (0avgtext+0avgdata 109068maxresident)k 0inputs+128outputs (15major+50359minor)pagefaults 0swaps