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 : 651583 load datou : 4876 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! Unexpected type for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : None was removed should we ? donnée sous forme de texte was removed should we ? [ptf_id0,ptf_id1...] was removed should we ? load thcls load pdts Running datou job : batch_current TODO datou_current to load to do maybe to take outside batchDatouExec no input labels no input values updating current state to 1 list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2718626'] with mtr_portfolio_ids : ['21995993'] and first list_photo_ids : [] new path : /proc/651583/ 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 : 0.08565187454223633 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 02:28:27 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'}] (('00', 285), ('01', 72), ('02', 115)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 428} 03042025 21995993 Nombre de photos uploadées : 332 / 23040 (1%) 03042025 21995993 Nombre de photos taguées (types de déchets): 428 / 332 (128%) 03042025 21995993 Nombre de photos taguées (volume) : 428 / 332 (128%) elapsed_time : load_data_split_time_score 2.384185791015625e-06 elapsed_time : order_list_meta_photo_and_scores 0.0001709461212158203 ???????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.01499629020690918 elapsed_time : insert_dashboard_record_day_entry 0.034802913665771484 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 elapsed_time : list_photo_by_hashtags 0.015121698379516602 photos_removed : len 0 elapsed_time : load_duplicate_info 0.034349679946899414 ***** BEGIN SPLIT TIME ***** True 1743638400.0 `1743632875.010134 1743632100.0 `1743632884.009126 1743632100.0 `1743632894.010141 1743632100.0 `1743632904.010134 1743632100.0 `1743632914.010144 1743632100.0 `1743632924.01014 1743632100.0 `1743632934.010138 1743632100.0 `1743632945.010148 1743632100.0 `1743632954.00913 1743632100.0 `1743632964.010141 1743632100.0 `1743632974.010135 1743632100.0 `1743632984.010136 1743632100.0 `1743632994.010136 1743632100.0 `1743633034.009125 1743633000.0 `1743633044.010136 1743633000.0 `1743633064.010159 1743633000.0 `1743633074.010136 1743633000.0 `1743633084.010136 1743633000.0 `1743633104.009127 1743633000.0 `1743633114.010137 1743633000.0 `1743633124.010139 1743633000.0 `1743633134.010134 1743633000.0 `1743633154.010136 1743633000.0 `1743633165.010136 1743633000.0 `1743633194.010135 1743633000.0 `1743633204.010135 1743633000.0 `1743633214.010138 1743633000.0 `1743633234.010136 1743633000.0 `1743633245.010155 1743633000.0 `1743633254.009127 1743633000.0 `1743633264.010135 1743633000.0 `1743633274.010135 1743633000.0 `1743633284.010135 1743633000.0 `1743633294.010138 1743633000.0 `1743633304.010186 1743633000.0 `1743633334.010135 1743633000.0 `1743633344.010137 1743633000.0 `1743633354.010138 1743633000.0 `1743633364.010142 1743633000.0 `1743633374.01014 1743633000.0 `1743633385.010139 1743633000.0 `1743633394.009126 1743633000.0 `1743633404.010137 1743633000.0 `1743633414.010136 1743633000.0 `1743633424.010173 1743633000.0 `1743633434.010136 1743633000.0 `1743633444.010136 1743633000.0 `1743633455.010134 1743633000.0 `1743633484.010134 1743633000.0 `1743633494.010136 1743633000.0 `1743633504.010133 1743633000.0 `1743633514.010135 1743633000.0 `1743633525.010136 1743633000.0 `1743633544.009139 1743633000.0 `1743633554.010133 1743633000.0 `1743633564.010142 1743633000.0 `1743633574.010134 1743633000.0 `1743633584.010139 1743633000.0 `1743633594.010141 1743633000.0 `1743633605.010143 1743633000.0 `1743633634.010134 1743633000.0 `1743633644.010136 1743633000.0 `1743633654.010136 1743633000.0 `1743633664.010167 1743633000.0 `1743633675.010137 1743633000.0 `1743633684.009125 1743633000.0 `1743633704.010136 1743633000.0 `1743633754.009124 1743633000.0 `1743633764.010136 1743633000.0 `1743633774.010455 1743633000.0 `1743633814.010139 1743633000.0 `1743633824.010143 1743633000.0 `1743633834.010136 1743633000.0 `1743633844.010154 1743633000.0 `1743633854.010137 1743633000.0 `1743633865.010139 1743633000.0 `1743633874.009134 1743633000.0 `1743633884.010143 1743633000.0 `1743633894.010137 1743633000.0 `1743633904.010163 1743633900.0 `1743633914.010137 1743633900.0 `1743633935.010137 1743633900.0 `1743633944.009129 1743633900.0 `1743633954.010138 1743633900.0 `1743633984.010136 1743633900.0 `1743633994.010134 1743633900.0 `1743634004.010138 1743633900.0 `1743634015.010138 1743633900.0 `1743634024.009135 1743633900.0 `1743634034.010137 1743633900.0 `1743634044.010137 1743633900.0 `1743634054.010143 1743633900.0 `1743634064.010142 1743633900.0 `1743634074.010133 1743633900.0 `1743634104.010133 1743633900.0 `1743634114.010133 1743633900.0 `1743634124.010135 1743633900.0 `1743634134.010139 1743633900.0 `1743634144.010149 1743633900.0 `1743634155.010137 1743633900.0 `1743634164.009125 1743633900.0 `1743634174.01014 1743633900.0 `1743634184.010141 1743633900.0 `1743634194.010139 1743633900.0 `1743634204.010151 1743633900.0 `1743634214.010141 1743633900.0 `1743634225.010135 1743633900.0 `1743634254.010133 1743633900.0 `1743634264.010161 1743633900.0 `1743634274.010136 1743633900.0 `1743634284.010135 1743633900.0 `1743634294.010134 1743633900.0 `1743634305.010137 1743633900.0 `1743634314.009128 1743633900.0 `1743634324.01015 1743633900.0 `1743634334.010138 1743633900.0 `1743634354.010135 1743633900.0 `1743634364.010133 1743633900.0 `1743634394.010133 1743633900.0 `1743634404.010133 1743633900.0 `1743634414.010135 1743633900.0 `1743634424.010136 1743633900.0 `1743634434.010136 1743633900.0 `1743634445.010162 1743633900.0 `1743634454.009129 1743633900.0 `1743634464.010137 1743633900.0 `1743634474.010134 1743633900.0 `1743634494.010138 1743633900.0 `1743634504.010155 1743633900.0 `1743634515.010137 1743633900.0 `1743634525.010137 1743633900.0 `1743634564.010146 1743633900.0 `1743634574.010139 1743633900.0 `1743634584.010136 1743633900.0 `1743634595.010134 1743633900.0 `1743634604.009123 1743633900.0 `1743634614.010136 1743633900.0 `1743634624.010161 1743633900.0 `1743634665.010136 1743633900.0 `1743634694.010136 1743633900.0 `1743634714.010138 1743633900.0 `1743634724.010135 1743633900.0 `1743634735.010135 1743633900.0 `1743634754.010996 1743633900.0 `1743634794.010135 1743633900.0 `1743634804.010137 1743634800.0 `1743634814.010138 1743634800.0 `1743634824.010136 1743634800.0 `1743634864.010161 1743634800.0 `1743635413.010141 1743634800.0 `1743635963.009126 1743635700.0 `1743636514.010136 1743635700.0 `1743636644.010142 1743636600.0 `1743636654.010136 1743636600.0 `1743636664.010154 1743636600.0 `1743636683.009126 1743636600.0 `1743636693.010136 1743636600.0 `1743636703.010144 1743636600.0 `1743636714.01014 1743636600.0 `1743636724.010151 1743636600.0 `1743636734.010136 1743636600.0 `1743636744.010136 1743636600.0 `1743636754.010136 1743636600.0 `1743636763.009125 1743636600.0 `1743636794.010132 1743636600.0 `1743636814.010133 1743636600.0 `1743636843.010152 1743636600.0 `1743636853.010144 1743636600.0 `1743636864.01014 1743636600.0 `1743636874.010143 1743636600.0 `1743636884.010147 1743636600.0 `1743636894.010142 1743636600.0 `1743636903.009155 1743636600.0 `1743636913.010143 1743636600.0 `1743636923.010145 1743636600.0 `1743636934.010139 1743636600.0 `1743636944.010139 1743636600.0 `1743636954.010141 1743636600.0 `1743636983.010134 1743636600.0 `1743636993.010133 1743636600.0 `1743637004.010135 1743636600.0 `1743637014.010136 1743636600.0 `1743637024.010144 1743636600.0 `1743637034.010136 1743636600.0 `1743637044.010135 1743636600.0 `1743637053.009124 1743636600.0 `1743637063.010135 1743636600.0 `1743637614.010135 1743637500.0 `1743637893.010139 1743637500.0 `1743637973.010135 1743637500.0 `1743637994.01014 1743637500.0 `1743638004.010135 1743637500.0 `1743638014.01014 1743637500.0 `1743638023.009132 1743637500.0 `1743638064.010141 1743637500.0 `1743638074.010141 1743637500.0 `1743638084.010141 1743637500.0 `1743638093.00913 1743637500.0 `1743638103.010146 1743637500.0 `1743638113.010137 1743637500.0 `1743638134.010146 1743637500.0 `1743638154.010134 1743637500.0 `1743638163.009152 1743637500.0 `1743638173.010139 1743637500.0 `1743638183.010137 1743637500.0 `1743638214.010138 1743637500.0 `1743638224.01015 1743637500.0 `1743638233.009125 1743637500.0 `1743638243.010145 1743637500.0 `1743638253.010135 1743637500.0 `1743638264.010137 1743637500.0 `1743638274.010137 1743637500.0 `1743638284.010143 1743637500.0 `1743638294.010135 1743637500.0 `1743638303.009126 1743637500.0 `1743638313.010135 1743637500.0 `1743638323.010136 1743637500.0 `1743638414.010197 1743638400.0 `1743638424.010141 1743638400.0 `1743638434.010137 1743638400.0 `1743638445.010137 1743638400.0 `1743638455.010139 1743638400.0 `1743638465.010165 1743638400.0 `1743638474.009126 1743638400.0 `1743638484.010136 1743638400.0 `1743638504.010136 1743638400.0 `1743638515.010138 1743638400.0 `1743638525.010167 1743638400.0 `1743638535.010136 1743638400.0 `1743638544.009127 1743638400.0 `1743638554.010138 1743638400.0 `1743638564.010136 1743638400.0 `1743638574.010138 1743638400.0 `1743638585.010145 1743638400.0 `1743638605.010136 1743638400.0 `1743638634.010137 1743638400.0 `1743638655.010141 1743638400.0 `1743638665.010136 1743638400.0 `1743638675.010135 1743638400.0 `1743638714.010134 1743638400.0 `1743638735.010133 1743638400.0 `1743638745.010136 1743638400.0 `1743638764.009129 1743638400.0 `1743638774.010135 1743638400.0 `1743638784.010132 1743638400.0 `1743638794.010135 1743638400.0 `1743638805.010136 1743638400.0 `1743638815.010135 1743638400.0 `1743638825.010143 1743638400.0 `1743638835.010135 1743638400.0 `1743638844.009121 1743638400.0 `1743638875.010135 1743638400.0 `1743638885.01015 1743638400.0 `1743638895.010137 1743638400.0 `1743638905.010136 1743638400.0 `1743638914.00913 1743638400.0 `1743638924.01014 1743638400.0 `1743638934.010139 1743638400.0 `1743638945.010153 1743638400.0 `1743638955.010137 1743638400.0 `1743638965.010133 1743638400.0 `1743638994.010133 1743638400.0 `1743639004.010154 1743638400.0 `1743639014.010135 1743638400.0 `1743639035.010135 1743638400.0 `1743639045.010144 1743638400.0 `1743639054.009126 1743638400.0 `1743639064.010152 1743638400.0 `1743639074.010136 1743638400.0 `1743639084.010136 1743638400.0 `1743639095.010136 1743638400.0 `1743639124.009159 1743638400.0 `1743639134.010133 1743638400.0 `1743639144.010136 1743638400.0 `1743639154.010137 1743638400.0 `1743639165.010136 1743638400.0 `1743639195.010142 1743638400.0 `1743639204.009123 1743638400.0 `1743639214.010135 1743638400.0 `1743639224.010136 1743638400.0 `1743639245.010156 1743638400.0 `1743639255.010143 1743638400.0 `1743639265.010142 1743638400.0 `1743639274.009135 1743638400.0 `1743639284.010142 1743638400.0 `1743639294.010138 1743638400.0 `1743639305.010152 1743639300.0 `1743639315.010136 1743639300.0 `1743639335.010136 1743639300.0 `1743639344.009125 1743639300.0 `1743639354.010137 1743639300.0 `1743639364.010156 1743639300.0 `1743639374.010136 1743639300.0 `1743639385.010136 1743639300.0 `1743639395.010136 1743639300.0 `1743639405.010138 1743639300.0 `1743639414.009125 1743639300.0 `1743639424.010172 1743639300.0 `1743639444.010137 1743639300.0 `1743639455.010137 1743639300.0 `1743639465.010135 1743639300.0 `1743639504.01014 1743639300.0 `1743639514.010139 1743639300.0 `1743639525.01014 1743639300.0 `1743639535.010134 1743639300.0 `1743639545.010155 1743639300.0 `1743639555.010136 1743639300.0 `1743639564.009124 1743639300.0 `1743639574.010141 1743639300.0 `1743639584.010143 1743639300.0 `1743639595.010164 1743639300.0 `1743639605.010168 1743639300.0 `1743639615.010136 1743639300.0 `1743639625.010135 1743639300.0 `1743639634.009123 1743639300.0 `1743639665.010156 1743639300.0 `1743639675.010134 1743639300.0 `1743639695.010147 1743639300.0 `1743639735.010139 1743639300.0 `1743639745.010134 1743639300.0 `1743639815.010142 1743639300.0 `1743639825.010136 1743639300.0 `1743639835.010139 1743639300.0 `1743639844.009139 1743639300.0 `1743639854.010137 1743639300.0 `1743639864.010136 1743639300.0 `1743639874.010144 1743639300.0 `1743639885.010137 1743639300.0 `1743639895.010139 1743639300.0 `1743639934.010133 1743639300.0 `1743639944.010137 1743639300.0 `1743639955.010143 1743639300.0 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]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.018715620040893555 ***** 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': '03042025', 'map_nb_amount': {0: 1, 1: 10, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 119.00000190734863, 'nb_balles_papier': 0.00013000000000000002, 'begin_time_port': 'image_03042025_00_27_55_010134m0.jpg 0.00011 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00013000000000000002 We reject this portfolio because of the condition_save_data : 2025-04-03 00:27:55.010134 result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 3, 1: 45, 2: 18, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 860.0010120868683, 'nb_balles_papier': 0.0006600000000000011, 'begin_time_port': 'image_03042025_00_30_34_009125m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006600000000000011 We reject this portfolio because of the condition_save_data : 2025-04-03 00:30:34.009125 result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 6, 1: 54, 2: 5, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999718666077, 'nb_balles_papier': 0.0006600000000000011, 'begin_time_port': 'image_03042025_00_45_04_010163m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006600000000000011 We reject this portfolio because of the condition_save_data : 2025-04-03 00:45:04.010163 result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 4, 1: 27, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 418.9999928474426, 'nb_balles_papier': 0.00035000000000000027, 'begin_time_port': 'image_03042025_01_30_44_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) : 0.00035000000000000027 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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: 13, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 709.0000009536743, 'nb_balles_papier': 0.00017, 'begin_time_port': 'image_03042025_01_46_54_10135.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00017 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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: 5, 1: 47, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 879.999941110611, 'nb_balles_papier': 0.0005200000000000007, 'begin_time_port': 'image_03042025_02_00_14_10197.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005200000000000007 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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: 28, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 649.999990940094, 'nb_balles_papier': 0.0003600000000000003, 'begin_time_port': 'image_03042025_02_15_05_010152m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0003600000000000003 We have rejected 7 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 4 Still a lot to verify ! Still a lot to verify ! Still a lot to verify ! We need to add photos : {1349702621} Still a lot to verify ! Qualite : 0.04185030088332276 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`=21999983 AND mptpi.`type`=3726 To do Qualite : 0.026519627169939112 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`=22000337 AND mptpi.`type`=3726 To do Qualite : 0.05552648152370348 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`=22000728 AND mptpi.`type`=3726 To do Qualite : 0.07314536262042422 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`=22001272 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.5890576839447021 # DISPLAY ALL COLLECTED DATA : {'03042025': {'nb_upload': 332, 'nb_taggue_class': 428, 'nb_taggue_densite': 428}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1349702621, 1349702563, 1349702562, 1349702558, 1349702409, 1349702402, 1349702380, 1349702379, 1349702368, 1349702365, 1349701968, 1349701966, 1349701963, 1349701862, 1349701858, 1349701726, 1349701725, 1349701722, 1349701702, 1349701700, 1349701697, 1349701695, 1349701633, 1349701630, 1349701628, 1349701620, 1349701612, 1349701609, 1349701434, 1349701422, 1349701414, 1349701407, 1349701314, 1349701281, 1349701263, 1349701260, 1349701178, 1349701170, 1349701141, 1349701134, 1349701129, 1349701126, 1349701109, 1349701106, 1349701105, 1349701100, 1349701093, 1349701076, 1349701074, 1349701072, 1349701065, 1349701063, 1349701055, 1349701040, 1349701038, 1349701037, 1349701035, 1349701003, 1349700999, 1349700996, 1349700993, 1349700990, 1349700974, 1349700972, 1349700971, 1349700960, 1349700938, 1349700935, 1349700933, 1349700931, 1349700928, 1349700900, 1349700898, 1349700896, 1349700893, 1349700875, 1349700870, 1349700868, 1349700863, 1349700860, 1349700853, 1349700829, 1349700828, 1349700824, 1349700811, 1349700652, 1349700630, 1349700615, 1349700563, 1349700529, 1349700479, 1349700094, 1349700044, 1349699956, 1349699874, 1349699829, 1349699756, 1349699102, 1349699053, 1349698975] 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, '2718626') ('4876', '21995993', '1349702621', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349702563', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349702562', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349702558', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349702409', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349702402', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349702380', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349702379', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349702368', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349702365', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701968', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701966', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701963', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701862', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701858', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701726', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701725', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701722', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701702', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701700', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701697', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701695', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701633', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701630', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701628', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701620', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701612', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701609', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701434', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701422', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701414', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701407', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701314', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701281', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701263', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701260', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701178', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701170', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701141', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701134', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701129', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701126', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701109', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701106', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701105', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701100', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701093', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701076', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701074', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701072', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701065', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701063', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701055', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701040', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701038', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701037', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701035', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349701003', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700999', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700996', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700993', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700990', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700974', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700972', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700971', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700960', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700938', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700935', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700933', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700931', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700928', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700900', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700898', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700896', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700893', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700875', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700870', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700868', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700863', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700860', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700853', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700829', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700828', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700824', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700811', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700652', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700630', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700615', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700563', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700529', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700479', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700094', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349700044', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349699956', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349699874', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349699829', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349699756', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349699102', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349699053', None, None, None, None, None, '2718626') ('4876', None, None, None, None, None, None, None, '2718626') ('4876', '21995993', '1349698975', None, None, None, None, None, '2718626') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.03934812545776367 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.8201560974121094 time spend to save output : 0.04024648666381836 total time spend for step 1 : 0.8604025840759277 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 1.26user 0.45system 0:03.71elapsed 46%CPU (0avgtext+0avgdata 100456maxresident)k 960inputs+96outputs (24major+48985minor)pagefaults 0swaps