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 : 2347691 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 : 1488>1000 please execute split_portfolio.py -i 20278395 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2558234'] with mtr_portfolio_ids : ['20278395'] and first list_photo_ids : [] new path : /proc/2347691/ 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 : 0.7261078357696533 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Feb 6 06:22:27 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('01', 140), ('00', 274), ('02', 289), ('03', 302), ('04', 166), ('05', 244), ('06', 73)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 961} 06022025 20278395 Nombre de photos uploadées : 407 / 23040 (1%) 06022025 20278395 Nombre de photos taguées (types de déchets): 961 / 407 (236%) 06022025 20278395 Nombre de photos taguées (volume) : 961 / 407 (236%) elapsed_time : load_data_split_time_score 3.0994415283203125e-06 elapsed_time : order_list_meta_photo_and_scores 0.00040340423583984375 ???????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.01797962188720703 elapsed_time : insert_dashboard_record_day_entry 0.02885603904724121 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 Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None 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 0.01671600341796875 photos_removed : len 0 elapsed_time : load_duplicate_info 0.07133698463439941 ***** BEGIN SPLIT TIME ***** True 1738800000.0 `1738812113.009126 1738811700.0 `1738812123.010211 1738811700.0 `1738812133.010154 1738811700.0 `1738812143.010135 1738811700.0 `1738812154.010136 1738811700.0 `1738812164.010136 1738811700.0 `1738812193.010139 1738811700.0 `1738812203.010135 1738811700.0 `1738812213.010135 1738811700.0 `1738812224.010155 1738811700.0 `1738812243.009141 1738811700.0 `1738812253.010156 1738811700.0 `1738812263.010137 1738811700.0 `1738812283.010145 1738811700.0 `1738812294.010145 1738811700.0 `1738812304.010139 1738811700.0 `1738812313.009127 1738811700.0 `1738812323.010137 1738811700.0 `1738812333.010136 1738811700.0 `1738812343.010142 1738811700.0 `1738812353.010138 1738811700.0 `1738812364.010137 1738811700.0 `1738812393.009122 1738811700.0 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`1738812783.010147 1738812600.0 `1738812813.009129 1738812600.0 `1738812823.010141 1738812600.0 `1738812833.010138 1738812600.0 `1738812843.010153 1738812600.0 `1738812864.010158 1738812600.0 `1738812874.01016 1738812600.0 `1738812883.00914 1738812600.0 `1738812893.010142 1738812600.0 `1738812903.010137 1738812600.0 `1738812913.010139 1738812600.0 `1738812924.010135 1738812600.0 `1738812963.010166 1738812600.0 `1738812973.010138 1738812600.0 `1738812983.010138 1738812600.0 `1738812993.010148 1738812600.0 `1738813004.010144 1738812600.0 `1738813014.010137 1738812600.0 `1738813033.01014 1738812600.0 `1738813043.010136 1738812600.0 `1738813053.01014 1738812600.0 `1738813084.010159 1738812600.0 `1738813093.009131 1738812600.0 `1738813103.010134 1738812600.0 `1738813113.010143 1738812600.0 `1738813123.010156 1738812600.0 `1738813134.010156 1738812600.0 `1738813144.010144 1738812600.0 `1738813183.010138 1738812600.0 `1738813203.010139 1738812600.0 `1738813214.010133 1738812600.0 `1738813224.010139 1738812600.0 `1738813233.009136 1738812600.0 `1738813243.010163 1738812600.0 `1738813663.010147 1738813500.0 `1738814213.010138 1738813500.0 `1738814444.010144 1738814400.0 `1738814474.010137 1738814400.0 `1738814483.009125 1738814400.0 `1738814493.010143 1738814400.0 `1738814604.010151 1738814400.0 `1738814713.010143 1738814400.0 `1738814724.010139 1738814400.0 `1738814744.010142 1738814400.0 `1738814754.010142 1738814400.0 `1738814763.009156 1738814400.0 `1738814773.010143 1738814400.0 `1738814783.010137 1738814400.0 `1738814794.010138 1738814400.0 `1738814804.010138 1738814400.0 `1738814814.010148 1738814400.0 `1738814824.010168 1738814400.0 `1738814833.009142 1738814400.0 `1738814843.010155 1738814400.0 `1738814853.010136 1738814400.0 `1738814874.010138 1738814400.0 `1738814884.010142 1738814400.0 `1738814894.010136 1738814400.0 `1738814913.010148 1738814400.0 `1738814923.010141 1738814400.0 `1738814934.010135 1738814400.0 `1738814944.010163 1738814400.0 `1738814954.010141 1738814400.0 `1738814964.01014 1738814400.0 `1738814973.009125 1738814400.0 `1738814983.010138 1738814400.0 `1738814993.010138 1738814400.0 `1738815004.010136 1738814400.0 `1738815014.010143 1738814400.0 `1738815024.010134 1738814400.0 `1738815053.010141 1738814400.0 `1738815063.010142 1738814400.0 `1738815084.010141 1738814400.0 `1738815094.010138 1738814400.0 `1738815104.010148 1738814400.0 `1738815114.010138 1738814400.0 `1738815133.010151 1738814400.0 `1738815213.010144 1738814400.0 `1738815333.009134 1738815300.0 `1738815343.010152 1738815300.0 `1738815374.010148 1738815300.0 `1738815384.010135 1738815300.0 `1738815394.010139 1738815300.0 `1738815403.009137 1738815300.0 `1738815413.010138 1738815300.0 `1738815423.010151 1738815300.0 `1738815434.010151 1738815300.0 `1738815444.010139 1738815300.0 `1738815454.010136 1738815300.0 `1738815464.010137 1738815300.0 `1738815504.010134 1738815300.0 `1738815524.010136 1738815300.0 `1738815543.009142 1738815300.0 `1738815553.010144 1738815300.0 `1738815563.010141 1738815300.0 `1738815574.01014 1738815300.0 `1738815584.010143 1738815300.0 `1738815594.010138 1738815300.0 `1738815604.010165 1738815300.0 `1738815613.009136 1738815300.0 `1738815623.010136 1738815300.0 `1738815633.010135 1738815300.0 `1738815644.010135 1738815300.0 `1738815654.010136 1738815300.0 `1738815683.009122 1738815300.0 `1738815693.010132 1738815300.0 `1738815703.010136 1738815300.0 `1738815714.010146 1738815300.0 `1738815734.010146 1738815300.0 `1738815744.010136 1738815300.0 `1738815753.009142 1738815300.0 `1738815773.01014 1738815300.0 `1738815784.010154 1738815300.0 `1738815794.010137 1738815300.0 `1738815804.010142 1738815300.0 `1738815814.010155 1738815300.0 `1738815823.009135 1738815300.0 `1738815833.010136 1738815300.0 `1738815843.010154 1738815300.0 `1738815874.010139 1738815300.0 `1738815884.010137 1738815300.0 `1738815893.009129 1738815300.0 `1738815903.010151 1738815300.0 `1738815913.010139 1738815300.0 `1738815924.010141 1738815300.0 `1738815934.01014 1738815300.0 `1738815944.010144 1738815300.0 `1738815954.010137 1738815300.0 `1738815963.00914 1738815300.0 `1738815973.010149 1738815300.0 `1738815983.010137 1738815300.0 `1738815994.010137 1738815300.0 `1738816024.010149 1738815300.0 `1738816033.009124 1738815300.0 `1738816043.010136 1738815300.0 `1738816053.010148 1738815300.0 `1738816064.010147 1738815300.0 `1738816074.010143 1738815300.0 `1738816084.010168 1738815300.0 `1738816094.010138 1738815300.0 `1738816103.009123 1738815300.0 `1738816113.010136 1738815300.0 `1738816123.010138 1738815300.0 `1738816134.010136 1738815300.0 `1738816144.010146 1738815300.0 `1738816154.01014 1738815300.0 `1738816183.010136 1738815300.0 `1738816193.010139 1738815300.0 `1738816204.010162 1738816200.0 `1738816214.010147 1738816200.0 `1738816224.010137 1738816200.0 `1738816234.010147 1738816200.0 `1738816243.009142 1738816200.0 `1738816253.010138 1738816200.0 `1738816263.01021 1738816200.0 `1738816274.010139 1738816200.0 `1738816284.010142 1738816200.0 `1738816313.009131 1738816200.0 `1738816323.010165 1738816200.0 `1738816333.010156 1738816200.0 `1738816344.010152 1738816200.0 `1738816354.010151 1738816200.0 `1738816364.010148 1738816200.0 `1738816374.01014 1738816200.0 `1738816383.009144 1738816200.0 `1738816393.01014 1738816200.0 `1738816403.010135 1738816200.0 `1738816414.010134 1738816200.0 `1738816424.010139 1738816200.0 `1738816434.010139 1738816200.0 `1738816473.010136 1738816200.0 `1738816494.010134 1738816200.0 `1738816504.010153 1738816200.0 `1738816514.010138 1738816200.0 `1738816533.010146 1738816200.0 `1738816543.010147 1738816200.0 `1738816554.010136 1738816200.0 `1738816564.010164 1738816200.0 `1738816574.010141 1738816200.0 `1738816584.010135 1738816200.0 `1738816593.009125 1738816200.0 `1738816603.010137 1738816200.0 `1738816624.010155 1738816200.0 `1738816634.010137 1738816200.0 `1738816644.010145 1738816200.0 `1738816654.010151 1738816200.0 `1738816663.00914 1738816200.0 `1738816673.010142 1738816200.0 `1738816683.010142 1738816200.0 `1738816694.010145 1738816200.0 `1738816704.010138 1738816200.0 `1738816724.01015 1738816200.0 `1738816733.009128 1738816200.0 `1738816743.010162 1738816200.0 `1738816753.010143 1738816200.0 `1738816764.010144 1738816200.0 `1738816774.010139 1738816200.0 `1738816784.010141 1738816200.0 `1738816803.009155 1738816200.0 `1738816823.010138 1738816200.0 `1738816834.010136 1738816200.0 `1738816844.010137 1738816200.0 `1738816854.010139 1738816200.0 `1738816864.010151 1738816200.0 `1738816904.010135 1738816200.0 `1738816914.010136 1738816200.0 `1738816934.010139 1738816200.0 `1738816943.009127 1738816200.0 `1738816953.010159 1738816200.0 `1738816963.010152 1738816200.0 `1738816974.010136 1738816200.0 `1738816984.010151 1738816200.0 `1738816994.010139 1738816200.0 `1738817004.010134 1738816200.0 `1738817013.009124 1738816200.0 `1738817023.010149 1738816200.0 `1738817033.01014 1738816200.0 `1738817044.010158 1738816200.0 `1738817054.01015 1738816200.0 `1738817083.009125 1738816200.0 `1738817093.010134 1738816200.0 `1738817113.010138 1738817100.0 `1738817124.010141 1738817100.0 `1738817134.010142 1738817100.0 `1738817144.010148 1738817100.0 `1738817163.010138 1738817100.0 `1738817173.010145 1738817100.0 `1738817183.010145 1738817100.0 `1738817194.010144 1738817100.0 `1738817214.010138 1738817100.0 `1738817233.010157 1738817100.0 `1738817243.010144 1738817100.0 `1738817254.010133 1738817100.0 `1738817284.010155 1738817100.0 `1738817293.009125 1738817100.0 `1738817303.010134 1738817100.0 `1738817313.010141 1738817100.0 `1738817323.010152 1738817100.0 `1738817334.01014 1738817100.0 `1738817344.010162 1738817100.0 `1738817354.01014 1738817100.0 `1738817363.009131 1738817100.0 `1738817373.010148 1738817100.0 `1738817383.010141 1738817100.0 `1738817393.010136 1738817100.0 `1738817404.010163 1738817100.0 `1738817443.009125 1738817100.0 `1738817453.010149 1738817100.0 `1738817463.010155 1738817100.0 `1738817474.010138 1738817100.0 `1738817484.010143 1738817100.0 `1738817494.010152 1738817100.0 `1738817503.009135 1738817100.0 `1738817513.010152 1738817100.0 `1738817523.010144 1738817100.0 `1738817534.010145 1738817100.0 `1738817544.010137 1738817100.0 `1738817554.010133 1738817100.0 `1738817583.009159 1738817100.0 `1738817593.010138 1738817100.0 `1738817603.010142 1738817100.0 `1738817614.010141 1738817100.0 `1738817624.010141 1738817100.0 `1738817634.010137 1738817100.0 `1738817644.010149 1738817100.0 `1738817653.009128 1738817100.0 `1738817673.010135 1738817100.0 `1738817684.010138 1738817100.0 `1738817694.010135 1738817100.0 `1738817704.010151 1738817100.0 `1738817714.010141 1738817100.0 `1738817754.010138 1738817100.0 `1738817764.010141 1738817100.0 `1738817774.010138 1738817100.0 `1738817784.010136 1738817100.0 `1738817793.009128 1738817100.0 `1738817803.01014 1738817100.0 `1738817974.010138 1738817100.0 `1738817984.010083 1738817100.0 `1738817994.010137 1738817100.0 `1738818004.010141 1738818000.0 `1738818014.010141 1738818000.0 `1738818024.010137 1738818000.0 `1738818033.00914 1738818000.0 `1738818044.010145 1738818000.0 `1738818074.010141 1738818000.0 `1738818084.010135 1738818000.0 `1738818094.010137 1738818000.0 `1738818103.009131 1738818000.0 `1738818114.010138 1738818000.0 `1738818144.01014 1738818000.0 `1738818154.010147 1738818000.0 `1738818164.010142 1738818000.0 `1738818173.009129 1738818000.0 `1738818194.010138 1738818000.0 `1738818224.010146 1738818000.0 `1738818234.010137 1738818000.0 `1738818243.009149 1738818000.0 `1738818254.010152 1738818000.0 `1738818264.010139 1738818000.0 `1738818674.010138 1738818000.0 `1738818684.010161 1738818000.0 `1738818694.010141 1738818000.0 `1738818704.010146 1738818000.0 `1738818714.01014 1738818000.0 `1738818724.010137 1738818000.0 `1738818733.009136 1738818000.0 `1738818744.010135 1738818000.0 `1738818754.010135 1738818000.0 `1738818764.010152 1738818000.0 `1738818774.010143 1738818000.0 `1738818784.010151 1738818000.0 `1738818794.01014 1738818000.0 `1738818804.010136 1738818000.0 `1738818844.010138 1738818000.0 `1738818854.010135 1738818000.0 `1738818864.010141 1738818000.0 `1738818874.010142 1738818000.0 `1738818884.009132 1738818000.0 `1738818894.010139 1738818000.0 `1738818904.01016 1738818900.0 `1738818914.010141 1738818900.0 `1738818924.010135 1738818900.0 `1738818934.010137 1738818900.0 `1738818944.010137 1738818900.0 `1738818953.009138 1738818900.0 `1738818964.010159 1738818900.0 `1738818994.010134 1738818900.0 `1738819004.010143 1738818900.0 `1738819014.01014 1738818900.0 `1738819024.009155 1738818900.0 `1738819034.010142 1738818900.0 `1738819044.010146 1738818900.0 `1738819054.010147 1738818900.0 `1738819064.010143 1738818900.0 `1738819074.010138 1738818900.0 `1738819083.009154 1738818900.0 `1738819094.010139 1738818900.0 `1738819104.010135 1738818900.0 `1738819134.010139 1738818900.0 `1738819144.010144 1738818900.0 `1738819154.010139 1738818900.0 `1738819163.009124 1738818900.0 `1738819174.010152 1738818900.0 `1738819184.010147 1738818900.0 `1738819194.010137 1738818900.0 `1738819204.010154 1738818900.0 `1738819214.010138 1738818900.0 `1738819233.009132 1738818900.0 `1738819244.010138 1738818900.0 `1738819254.01014 1738818900.0 `1738819264.010153 1738818900.0 `1738819303.009141 1738818900.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.014853239059448242 ***** 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': '06022025', 'map_nb_amount': {0: 4, 1: 24, 2: 11, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 471.0010130405426, 'nb_balles_papier': 0.00039000000000000037, 'begin_time_port': 'image_06022025_04_21_53_009126m0.jpg 9e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00039000000000000037 We reject this portfolio because of the condition_save_data : 2025-02-06 04:21:53.009126 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '06022025', 'map_nb_amount': {0: 1, 1: 36, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 630.0000140666962, 'nb_balles_papier': 0.00045000000000000053, 'begin_time_port': 'image_06022025_04_30_13_10149.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00045000000000000053 We reject this portfolio because of the condition_save_data : 2025-02-06 04:30:13.010149 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '06022025', 'map_nb_amount': {0: 3, 1: 34, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 769.0, 'nb_balles_papier': 0.00038000000000000035, 'begin_time_port': 'image_06022025_05_00_44_10144.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00038000000000000035 We reject this portfolio because of the condition_save_data : 2025-02-06 05:00:44.010144 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '06022025', 'map_nb_amount': {0: 15, 1: 49, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 860.0010049343109, 'nb_balles_papier': 0.0006600000000000011, 'begin_time_port': 'image_06022025_05_15_33_009134m0.jpg 1e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006600000000000011 We reject this portfolio because of the condition_save_data : 2025-02-06 05:15:33.009134 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': '06022025', 'map_nb_amount': {0: 6, 1: 45, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 888.9999718666077, 'nb_balles_papier': 0.0005400000000000008, 'begin_time_port': 'image_06022025_05_30_04_010162m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005400000000000008 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': '06022025', 'map_nb_amount': {0: 8, 1: 29, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 880.9999990463257, 'nb_balles_papier': 0.00038000000000000035, 'begin_time_port': 'image_06022025_05_45_13_010138m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00038000000000000035 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 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': '06022025', 'map_nb_amount': {0: 3, 1: 11, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999980926514, 'nb_balles_papier': 0.00015000000000000001, 'begin_time_port': 'image_06022025_06_00_04_10141.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00015000000000000001 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': '06022025', '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': 398.9989809989929, 'nb_balles_papier': 0, 'begin_time_port': 'image_06022025_06_15_04_10160.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We have rejected 2 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 4 Internal error, should be audited in sarching same port with keep_same_batch_live Still a lot to verify ! Still a lot to verify ! Still a lot to verify ! We need to add photos : {1335134755, 1335134660, 1335134630, 1335134632, 1335134793, 1335134795, 1335134797, 1335134639, 1335134767, 1335134641, 1335134769, 1335134647, 1335134745, 1335134718} Still a lot to verify ! Qualite : 0.03997582434087976 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`=20286862 AND mptpi.`type`=3726 To do Qualite : 0.05066019743638997 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`=20287423 AND mptpi.`type`=3726 To do Qualite : 0.047718729199954894 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`=20288163 AND mptpi.`type`=3726 To do This function is not protected ! # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20288603 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 2.960916519165039 # DISPLAY ALL COLLECTED DATA : {'06022025': {'nb_upload': 407, 'nb_taggue_class': 961, 'nb_taggue_densite': 961}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1335134797, 1335134795, 1335134793, 1335134769, 1335134767, 1335134755, 1335134745, 1335134718, 1335134660, 1335134647, 1335134641, 1335134639, 1335134632, 1335134630, 1335134594, 1335134592, 1335134590, 1335134588, 1335134573, 1335134568, 1335134562, 1335134560, 1335134558, 1335134556, 1335134538, 1335134536, 1335134534, 1335134532, 1335134522, 1335134518, 1335134514, 1335134512, 1335134510, 1335134508, 1335134496, 1335134494, 1335134490, 1335134487, 1335134482, 1335134479, 1335134364, 1335134360, 1335134358, 1335134305, 1335134302, 1335134299, 1335134297, 1335134295, 1335134293, 1335134255, 1335134246, 1335134243, 1335134240, 1335134238, 1335133484, 1335133482, 1335133480, 1335133407, 1335133399, 1335133371, 1335132935, 1335132933, 1335132931, 1335132930, 1335132416, 1335132412, 1335132398, 1335132396, 1335132393, 1335132379, 1335132375, 1335132372, 1335132369, 1335132367, 1335132226, 1335132206, 1335132202, 1335131130, 1335131124, 1335131116, 1335131112, 1335131109, 1335130978, 1335130976, 1335130974, 1335130858, 1335130855, 1335130852, 1335130850, 1335130848, 1335130800, 1335130798, 1335130797, 1335130796, 1335130795, 1335130794, 1335130751, 1335130750, 1335130749, 1335130748] Looping around the photos to save general results len do output : 1 /20278395Didn'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, '2558234') ('4876', '20278395', '1335134797', None, None, None, None, None, '2558234') ('4876', None, None, None, None, None, None, None, '2558234') ('4876', '20278395', '1335134795', None, None, None, None, None, '2558234') ('4876', None, None, None, None, None, None, None, '2558234') ('4876', '20278395', '1335134793', None, None, None, None, None, '2558234') ('4876', None, None, None, None, None, None, None, '2558234') ('4876', '20278395', '1335134769', None, None, None, None, None, '2558234') ('4876', None, None, None, None, None, None, None, '2558234') ('4876', '20278395', '1335134767', None, None, None, None, None, '2558234') ('4876', None, None, None, None, None, None, None, '2558234') ('4876', '20278395', '1335134755', None, None, None, None, None, 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'2558234') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.08518552780151367 save_final save missing photos in datou_result : time spend for datou_step_exec : 3.303541660308838 time spend to save output : 0.08594131469726562 total time spend for step 1 : 3.3894829750061035 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 1.41user 1.24system 0:06.31elapsed 42%CPU (0avgtext+0avgdata 102092maxresident)k 3944inputs+120outputs (14major+49203minor)pagefaults 0swaps