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 : 741440 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 : 4664>1000 please execute split_portfolio.py -i 21995993 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2721906'] with mtr_portfolio_ids : ['21995993'] and first list_photo_ids : [] new path : /proc/741440/ 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 : 0.08217096328735352 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Apr 3 21:54:26 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', 285), ('01', 72), ('02', 269), ('03', 286), ('04', 59), ('05', 224), ('06', 288), ('07', 250), ('08', 268), ('09', 126), ('10', 323), ('11', 287), ('12', 61), ('13', 88), ('14', 239), ('17', 148), ('16', 256), ('15', 273), ('18', 242), ('19', 303), ('20', 169), ('21', 148)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 3827, 2: 1} 03042025 21995993 Nombre de photos uploadées : 346 / 23040 (1%) 03042025 21995993 Nombre de photos taguées (types de déchets): 3828 / 346 (1106%) 03042025 21995993 Nombre de photos taguées (volume) : 3828 / 346 (1106%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0014371871948242188 ???????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.014802694320678711 elapsed_time : insert_dashboard_record_day_entry 0.06074714660644531 Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.033821821212768555 photos_removed : len 0 elapsed_time : load_duplicate_info 0.04344344139099121 ***** BEGIN SPLIT TIME ***** True 1743638400.0 `1743702834.009126 1743702300.0 `1743702844.010145 1743702300.0 `1743702854.010142 1743702300.0 `1743702864.010135 1743702300.0 `1743702895.010136 1743702300.0 `1743702904.00915 1743702300.0 `1743702914.010136 1743702300.0 `1743702934.010143 1743702300.0 `1743702944.01014 1743702300.0 `1743702954.01014 1743702300.0 `1743702965.010143 1743702300.0 `1743702974.009128 1743702300.0 `1743702984.010136 1743702300.0 `1743702994.010136 1743702300.0 `1743703004.010136 1743702300.0 `1743703024.010144 1743702300.0 `1743703035.010134 1743702300.0 `1743703064.010134 1743702300.0 `1743703074.010141 1743702300.0 `1743703084.010168 1743702300.0 `1743703094.010136 1743702300.0 `1743703105.010138 1743702300.0 `1743703114.00913 1743702300.0 `1743703124.01014 1743702300.0 `1743703134.010141 1743702300.0 `1743703163.009129 1743702300.0 `1743703174.010137 1743702300.0 `1743703184.010137 1743702300.0 `1743703194.010137 1743702300.0 `1743703204.010148 1743703200.0 `1743703244.010135 1743703200.0 `1743703254.010134 1743703200.0 `1743703264.010144 1743703200.0 `1743703274.010137 1743703200.0 `1743703284.010138 1743703200.0 `1743703294.010137 1743703200.0 `1743703303.00913 1743703200.0 `1743703314.01014 1743703200.0 `1743703324.010172 1743703200.0 `1743703344.010137 1743703200.0 `1743703354.010136 1743703200.0 `1743703364.010135 1743703200.0 `1743703373.009125 1743703200.0 `1743703384.010143 1743703200.0 `1743703394.010137 1743703200.0 `1743703404.010133 1743703200.0 `1743703464.010135 1743703200.0 `1743703474.010134 1743703200.0 `1743703484.01014 1743703200.0 `1743703494.010134 1743703200.0 `1743703514.010136 1743703200.0 `1743703534.010135 1743703200.0 `1743703544.010137 1743703200.0 `1743703554.010137 1743703200.0 `1743703564.010137 1743703200.0 `1743703574.010135 1743703200.0 `1743703584.010136 1743703200.0 `1743703604.010135 1743703200.0 `1743703614.010136 1743703200.0 `1743703654.010135 1743703200.0 `1743703663.009127 1743703200.0 `1743703673.010138 1743703200.0 `1743703684.010139 1743703200.0 `1743703694.010139 1743703200.0 `1743703704.010137 1743703200.0 `1743703714.010135 1743703200.0 `1743703724.010136 1743703200.0 `1743703734.010138 1743703200.0 `1743703743.009149 1743703200.0 `1743703754.010143 1743703200.0 `1743703764.010136 1743703200.0 `1743703774.010135 1743703200.0 `1743703784.010136 1743703200.0 `1743703794.010137 1743703200.0 `1743703804.01016 1743703200.0 `1743703834.01014 1743703200.0 `1743703844.010133 1743703200.0 `1743703854.010135 1743703200.0 `1743703874.010137 1743703200.0 `1743703883.009124 1743703200.0 `1743703894.010137 1743703200.0 `1743703904.010138 1743703200.0 `1743703914.010143 1743703200.0 `1743703924.010145 1743703200.0 `1743703934.01014 1743703200.0 `1743703944.010137 1743703200.0 `1743703953.009126 1743703200.0 `1743703963.010138 1743703200.0 `1743703974.010138 1743703200.0 `1743703984.010156 1743703200.0 `1743703994.010134 1743703200.0 `1743704004.010136 1743703200.0 `1743704044.010165 1743703200.0 `1743704054.01014 1743703200.0 `1743704064.010136 1743703200.0 `1743704074.01015 1743703200.0 `1743704084.010146 1743703200.0 `1743704094.010136 1743703200.0 `1743704103.009164 1743704100.0 `1743704114.010139 1743704100.0 `1743704124.010141 1743704100.0 `1743704134.010135 1743704100.0 `1743704144.010137 1743704100.0 `1743704154.010139 1743704100.0 `1743704163.009137 1743704100.0 `1743704173.010139 1743704100.0 `1743704184.010133 1743704100.0 `1743704214.010134 1743704100.0 `1743704224.010134 1743704100.0 `1743704234.010137 1743704100.0 `1743704243.009124 1743704100.0 `1743704254.010236 1743704100.0 `1743704264.010136 1743704100.0 `1743704274.010167 1743704100.0 `1743704284.010162 1743704100.0 `1743704294.010138 1743704100.0 `1743704303.009126 1743704100.0 `1743704314.010134 1743704100.0 `1743704354.010134 1743704100.0 `1743704364.010135 1743704100.0 `1743704374.010136 1743704100.0 `1743704383.009129 1743704100.0 `1743704394.010138 1743704100.0 `1743704404.010145 1743704100.0 `1743704414.010136 1743704100.0 `1743704424.010139 1743704100.0 `1743704434.010137 1743704100.0 `1743704444.010137 1743704100.0 `1743704453.00913 1743704100.0 `1743704464.010139 1743704100.0 `1743704474.010133 1743704100.0 `1743704504.010133 1743704100.0 `1743704514.010134 1743704100.0 `1743704523.009138 1743704100.0 `1743704534.010141 1743704100.0 `1743704544.010139 1743704100.0 `1743704554.010136 1743704100.0 `1743704564.010139 1743704100.0 `1743704574.010141 1743704100.0 `1743704584.010153 1743704100.0 `1743704593.009126 1743704100.0 `1743704603.010136 1743704100.0 `1743704614.010136 1743704100.0 `1743704644.010154 1743704100.0 `1743704654.010132 1743704100.0 `1743704664.010134 1743704100.0 `1743704673.009123 1743704100.0 `1743704684.010136 1743704100.0 `1743704694.010135 1743704100.0 `1743704734.010138 1743704100.0 `1743704743.009129 1743704100.0 `1743704874.01014 1743704100.0 `1743705074.010137 1743705000.0 `1743705084.010137 1743705000.0 `1743705104.010142 1743705000.0 `1743705114.010137 1743705000.0 `1743705144.010133 1743705000.0 `1743705154.010134 1743705000.0 `1743705163.009127 1743705000.0 `1743705174.010138 1743705000.0 `1743705184.010155 1743705000.0 `1743705194.010137 1743705000.0 `1743705204.010138 1743705000.0 `1743705214.010137 1743705000.0 `1743705233.009127 1743705000.0 `1743705244.010141 1743705000.0 `1743705274.010133 1743705000.0 `1743705284.010137 1743705000.0 `1743705294.010137 1743705000.0 `1743705303.009146 1743705000.0 `1743705314.010144 1743705000.0 `1743705324.010142 1743705000.0 `1743705334.010136 1743705000.0 `1743705344.010137 1743705000.0 `1743705354.010139 1743705000.0 `1743705364.010142 1743705000.0 `1743705373.009126 1743705000.0 `1743705383.010137 1743705000.0 `1743705394.010139 1743705000.0 `1743705404.010138 1743705000.0 `1743705414.010141 1743705000.0 `1743705424.010152 1743705000.0 `1743705464.010134 1743705000.0 `1743705474.010133 1743705000.0 `1743705484.010149 1743705000.0 `1743705494.010136 1743705000.0 `1743705504.010136 1743705000.0 `1743705514.010141 1743705000.0 `1743705523.009127 1743705000.0 `1743705534.010145 1743705000.0 `1743705544.010149 1743705000.0 `1743705554.010138 1743705000.0 `1743705564.010136 1743705000.0 `1743705584.010135 1743705000.0 `1743705593.009126 1743705000.0 `1743705634.010132 1743705000.0 `1743705644.010135 1743705000.0 `1743705654.010136 1743705000.0 `1743706803.009147 1743706800.0 `1743707363.010143 1743706800.0 `1743707803.010136 1743707700.0 `1743707813.010132 1743707700.0 `1743707863.01014 1743707700.0 `1743707913.009124 1743707700.0 `1743707923.010135 1743707700.0 `1743708194.010136 1743707700.0 `1743708203.009125 1743707700.0 `1743708213.010136 1743707700.0 `1743708233.010135 1743707700.0 `1743708254.010142 1743707700.0 `1743708264.010135 1743707700.0 `1743708273.009125 1743707700.0 `1743708283.010138 1743707700.0 `1743708293.010139 1743707700.0 `1743708303.010152 1743707700.0 `1743708313.010139 1743707700.0 `1743708323.010145 1743707700.0 `1743708334.010136 1743707700.0 `1743708344.010136 1743707700.0 `1743708353.009125 1743707700.0 `1743708363.010151 1743707700.0 `1743708383.010135 1743707700.0 `1743708393.010133 1743707700.0 `1743708423.00915 1743707700.0 `1743708433.010137 1743707700.0 `1743708443.010139 1743707700.0 `1743708453.01014 1743707700.0 `1743708463.010149 1743707700.0 `1743708474.010138 1743707700.0 `1743708484.010144 1743707700.0 `1743708493.009127 1743707700.0 `1743708503.010138 1743707700.0 `1743708513.010136 1743707700.0 `1743708523.010135 1743707700.0 `1743708563.009123 1743707700.0 `1743708573.010133 1743707700.0 `1743708583.010134 1743707700.0 `1743708593.010135 1743707700.0 `1743708603.010139 1743708600.0 `1743708613.01014 1743708600.0 `1743708624.010135 1743708600.0 `1743708634.010135 1743708600.0 `1743708643.009127 1743708600.0 `1743708653.010138 1743708600.0 `1743708663.01015 1743708600.0 `1743708673.010139 1743708600.0 `1743708683.01014 1743708600.0 `1743708694.010135 1743708600.0 `1743708704.010134 1743708600.0 `1743708713.009122 1743708600.0 `1743708723.010132 1743708600.0 `1743708733.010144 1743708600.0 `1743708743.010135 1743708600.0 `1743708753.010137 1743708600.0 `1743708764.010137 1743708600.0 `1743708774.010139 1743708600.0 `1743708783.009134 1743708600.0 `1743708793.010141 1743708600.0 `1743708803.010142 1743708600.0 `1743708813.010133 1743708600.0 `1743708823.010134 1743708600.0 `1743708833.010135 1743708600.0 `1743708844.010144 1743708600.0 `1743708854.010135 1743708600.0 `1743708863.009124 1743708600.0 `1743708873.010136 1743708600.0 `1743708883.010135 1743708600.0 `1743708903.01014 1743708600.0 `1743708914.010136 1743708600.0 `1743708924.010138 1743708600.0 `1743708933.009125 1743708600.0 `1743708943.010138 1743708600.0 `1743708953.010136 1743708600.0 `1743708963.010159 1743708600.0 `1743708973.010212 1743708600.0 `1743708984.01014 1743708600.0 `1743708994.01014 1743708600.0 `1743709003.009125 1743708600.0 `1743709013.01014 1743708600.0 `1743709023.010161 1743708600.0 `1743709064.010134 1743708600.0 `1743709073.009124 1743708600.0 `1743709083.010139 1743708600.0 `1743709093.010146 1743708600.0 `1743709103.010142 1743708600.0 `1743709124.010145 1743708600.0 `1743709143.009137 1743708600.0 `1743709153.010144 1743708600.0 `1743709194.010137 1743708600.0 `1743709204.010179 1743708600.0 `1743709223.010135 1743708600.0 `1743709243.010141 1743708600.0 `1743709253.010139 1743708600.0 `1743709264.010154 1743708600.0 `1743709274.010137 1743708600.0 `1743709283.009123 1743708600.0 `1743709323.010142 1743708600.0 `1743709334.010138 1743708600.0 `1743709344.01014 1743708600.0 `1743709353.009136 1743708600.0 `1743709363.010144 1743708600.0 `1743709373.010136 1743708600.0 `1743709383.010158 1743708600.0 `1743709393.01014 1743708600.0 `1743709404.010141 1743708600.0 `1743709443.010143 1743708600.0 `1743709453.010138 1743708600.0 `1743709463.010138 1743708600.0 `1743709473.010139 1743708600.0 `1743709484.010142 1743708600.0 `1743709494.010139 1743708600.0 `1743709503.009132 1743709500.0 `1743709513.01014 1743709500.0 `1743709523.010136 1743709500.0 `1743709533.010138 1743709500.0 `1743709573.009128 1743709500.0 `1743709583.010137 1743709500.0 `1743709593.010138 1743709500.0 `1743709603.010139 1743709500.0 `1743709613.010143 1743709500.0 `1743709624.010159 1743709500.0 `1743709634.010143 1743709500.0 `1743709643.009131 1743709500.0 `1743709653.010135 1743709500.0 `1743709663.010135 1743709500.0 `1743709673.010139 1743709500.0 `1743709704.010133 1743709500.0 `1743709713.009126 1743709500.0 `1743709723.010136 1743709500.0 `1743709733.010141 1743709500.0 `1743709743.010172 1743709500.0 `1743709753.010137 1743709500.0 `1743709764.010144 1743709500.0 `1743709774.01014 1743709500.0 `1743709783.009127 1743709500.0 `1743709793.010147 1743709500.0 `1743709834.010135 1743709500.0 `1743709844.010137 1743709500.0 `1743709854.010143 1743709500.0 `1743709863.00914 1743709500.0 `1743709873.01014 1743709500.0 `1743709883.010136 1743709500.0 `1743709893.010149 1743709500.0 `1743709903.010142 1743709500.0 `1743709914.010138 1743709500.0 `1743709924.010141 1743709500.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.02538299560546875 ***** END SPLIT TIME ***** NUMBER BATCH : 8 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 3, 1: 25, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 360.00101113319397, 'nb_balles_papier': 0.0002900000000000001, 'begin_time_port': 'image_03042025_19_53_54_009126m0.jpg 6e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0002900000000000001 We reject this portfolio because of the condition_save_data : 2025-04-03 19:53:54.009126 result_one_balle_Type_JRM:{'day': '03042025', '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': 889.9999878406525, 'nb_balles_papier': 0.0006900000000000012, 'begin_time_port': 'image_03042025_20_00_04_010148m0.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 : 2025-04-03 20:00:04.010148 ERROR missing amount info result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 6, 1: 44, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 771.0009758472443, 'nb_balles_papier': 0.0005300000000000007, 'begin_time_port': 'image_03042025_20_15_03_009164m0.jpg 1e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005300000000000007 We reject this portfolio because of the condition_save_data : 2025-04-03 20:15:03.009164 result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 2, 1: 43, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 579.9999988079071, 'nb_balles_papier': 0.00046000000000000056, 'begin_time_port': 'image_03042025_20_31_14_010137m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00046000000000000056 We reject this portfolio because of the condition_save_data : 2025-04-03 20:31:14.010137 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': '03042025', 'map_nb_amount': {0: 2, 1: 20, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 789.9999990463257, 'nb_balles_papier': 0.00024, 'begin_time_port': 'image_03042025_21_16_43_010136m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00024 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': '03042025', 'map_nb_amount': {0: 4, 1: 30, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 891.0, 'nb_balles_papier': 0.00038000000000000035, 'begin_time_port': 'image_03042025_21_30_03_10139.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00038000000000000035 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': '03042025', 'map_nb_amount': {0: 3, 1: 12, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 421.00100898742676, 'nb_balles_papier': 0.00015000000000000001, 'begin_time_port': 'image_03042025_21_45_03_009132m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00015000000000000001 We have rejected 2 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 3 Still a lot to verify ! Still a lot to verify ! We need to add photos : {1349873413, 1349873383, 1349873418, 1349873451, 1349873389, 1349873422, 1349873455, 1349873404} Still a lot to verify ! Qualite : 0.08060398155897922 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`=22034914 AND mptpi.`type`=3726 To do Qualite : 0.045980857316207144 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`=22035214 AND mptpi.`type`=3726 To do Qualite : 0.06224750324213875 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`=22035987 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 1.2272295951843262 # DISPLAY ALL COLLECTED DATA : {'03042025': {'nb_upload': 346, 'nb_taggue_class': 3828, 'nb_taggue_densite': 3828}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1349873455, 1349873451, 1349873422, 1349873418, 1349873413, 1349873404, 1349873389, 1349873383, 1349873352, 1349873349, 1349873347, 1349873252, 1349873210, 1349873168, 1349873149, 1349873095, 1349873065, 1349872867, 1349872863, 1349872856, 1349872842, 1349872738, 1349872725, 1349872702, 1349872689, 1349872627, 1349872621, 1349872503, 1349872478, 1349872454, 1349872426, 1349872423, 1349872207, 1349872203, 1349872201, 1349872199, 1349872054, 1349872020, 1349871992, 1349871974, 1349871942, 1349871910, 1349871856, 1349871851, 1349871846, 1349871725, 1349871721, 1349871718, 1349871715, 1349871712, 1349871709, 1349871633, 1349871610, 1349871602, 1349871483, 1349871460, 1349871430, 1349871410, 1349871151, 1349871132, 1349871059, 1349870871, 1349870834, 1349870795, 1349870756, 1349870109, 1349870050, 1349869968, 1349869861, 1349869852, 1349869840, 1349869836, 1349869831, 1349869814, 1349869674, 1349869662, 1349869648, 1349869626, 1349869605, 1349869568, 1349869195, 1349869154, 1349869096, 1349869037, 1349869006, 1349868704, 1349868674, 1349868656, 1349868633, 1349868615, 1349868602, 1349868551, 1349868548, 1349868542, 1349868539, 1349868535, 1349868515, 1349868480, 1349868475, 1349868471] Looping around the photos to save general results len do output : 1 /21995993Didn'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, '2721906') ('4876', '21995993', '1349873455', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873451', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873422', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873418', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873413', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873404', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873389', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873383', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873352', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873349', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873347', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873252', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873210', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873168', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873149', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873095', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349873065', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349872867', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349872863', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349872856', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349872842', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349872738', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349872725', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349872702', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349872689', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349872627', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', '1349872621', None, None, None, None, None, '2721906') ('4876', None, None, None, None, None, None, None, '2721906') ('4876', '21995993', 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'2721906') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.04529166221618652 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.9711945056915283 time spend to save output : 0.04612255096435547 total time spend for step 1 : 2.017317056655884 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 1.20user 0.63system 0:04.62elapsed 39%CPU (0avgtext+0avgdata 105348maxresident)k 0inputs+104outputs (2major+50117minor)pagefaults 0swaps