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 : 916990 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 : 2508>1000 please execute split_portfolio.py -i 22246422 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2745593'] with mtr_portfolio_ids : ['22246422'] and first list_photo_ids : [] new path : /proc/916990/ 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 : 0.16656899452209473 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Apr 11 17:18:26 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('00', 15), ('01', 8), ('02', 13), ('03', 15), ('04', 8), ('05', 159), ('06', 222), ('07', 216), ('08', 247), ('09', 110), ('10', 248), ('11', 244), ('12', 54), ('13', 83), ('14', 226), ('15', 283), ('16', 294), ('17', 63)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 2107} 11042025 22246422 Nombre de photos uploadées : 556 / 23040 (2%) 11042025 22246422 Nombre de photos taguées (types de déchets): 2107 / 556 (378%) 11042025 22246422 Nombre de photos taguées (volume) : 2107 / 556 (378%) elapsed_time : load_data_split_time_score 3.814697265625e-06 elapsed_time : order_list_meta_photo_and_scores 0.0008249282836914062 ?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.05115795135498047 elapsed_time : insert_dashboard_record_day_entry 0.023884057998657227 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 Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None 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 0.021077871322631836 photos_removed : len 0 elapsed_time : load_duplicate_info 0.05588126182556152 ***** BEGIN SPLIT TIME ***** 1744329600.0 `1744377474.010136 1744377300.0 `1744377494.010144 1744377300.0 `1744377504.010136 1744377300.0 `1744377514.009125 1744377300.0 `1744377524.010138 1744377300.0 `1744377534.010136 1744377300.0 `1744377544.010144 1744377300.0 `1744377564.010135 1744377300.0 `1744377574.010215 1744377300.0 `1744377584.009124 1744377300.0 `1744377614.010139 1744377300.0 `1744377624.010133 1744377300.0 `1744377634.010134 1744377300.0 `1744377644.010139 1744377300.0 `1744377654.009129 1744377300.0 `1744377664.010174 1744377300.0 `1744377674.010135 1744377300.0 `1744377694.010134 1744377300.0 `1744377704.010134 1744377300.0 `1744377714.010138 1744377300.0 `1744377724.009134 1744377300.0 `1744377734.010135 1744377300.0 `1744377744.010136 1744377300.0 `1744377754.010136 1744377300.0 `1744377764.010141 1744377300.0 `1744377774.010135 1744377300.0 `1744377804.009122 1744377300.0 `1744377814.010133 1744377300.0 `1744377824.010134 1744377300.0 `1744377844.01016 1744377300.0 `1744377854.010137 1744377300.0 `1744377874.009126 1744377300.0 `1744377884.010136 1744377300.0 `1744377894.010136 1744377300.0 `1744377904.010147 1744377300.0 `1744377914.010135 1744377300.0 `1744377924.010135 1744377300.0 `1744377934.010134 1744377300.0 `1744377945.010137 1744377300.0 `1744377954.009124 1744377300.0 `1744377964.010138 1744377300.0 `1744377994.010134 1744377300.0 `1744378004.010136 1744377300.0 `1744378024.009139 1744377300.0 `1744378034.010141 1744377300.0 `1744378044.010135 1744377300.0 `1744378054.010139 1744377300.0 `1744378064.01014 1744377300.0 `1744378074.010137 1744377300.0 `1744378084.010151 1744377300.0 `1744378094.009125 1744377300.0 `1744378104.010134 1744377300.0 `1744378114.010133 1744377300.0 `1744378154.010136 1744377300.0 `1744378174.010135 1744377300.0 `1744378184.010137 1744377300.0 `1744378194.010136 1744377300.0 `1744378204.010145 1744378200.0 `1744378214.010138 1744378200.0 `1744378224.010134 1744378200.0 `1744378235.010134 1744378200.0 `1744378244.009126 1744378200.0 `1744378254.010138 1744378200.0 `1744378264.010149 1744378200.0 `1744378274.010191 1744378200.0 `1744378284.010135 1744378200.0 `1744378324.010138 1744378200.0 `1744378334.010134 1744378200.0 `1744378344.010133 1744378200.0 `1744378354.010144 1744378200.0 `1744378364.010139 1744378200.0 `1744378394.01014 1744378200.0 `1744378404.010136 1744378200.0 `1744378414.010135 1744378200.0 `1744378424.010134 1744378200.0 `1744378444.010155 1744378200.0 `1744378454.009127 1744378200.0 `1744378474.010134 1744378200.0 `1744378484.010133 1744378200.0 `1744378494.010135 1744378200.0 `1744378504.010136 1744378200.0 `1744378544.010138 1744378200.0 `1744378554.010142 1744378200.0 `1744378564.010175 1744378200.0 `1744378574.010138 1744378200.0 `1744378584.010136 1744378200.0 `1744378595.010148 1744378200.0 `1744378604.009128 1744378200.0 `1744378614.010142 1744378200.0 `1744378624.010149 1744378200.0 `1744378644.010137 1744378200.0 `1744378654.010134 1744378200.0 `1744378674.009126 1744378200.0 `1744378684.010152 1744378200.0 `1744378714.010133 1744378200.0 `1744378724.010135 1744378200.0 `1744378734.010136 1744378200.0 `1744378744.009138 1744378200.0 `1744378754.010138 1744378200.0 `1744378764.010134 1744378200.0 `1744378774.010134 1744378200.0 `1744378784.010136 1744378200.0 `1744378794.010136 1744378200.0 `1744378804.010154 1744378200.0 `1744378814.009124 1744378200.0 `1744378824.010134 1744378200.0 `1744378834.010134 1744378200.0 `1744378844.010134 1744378200.0 `1744378854.010137 1744378200.0 `1744378874.010133 1744378200.0 `1744378885.010133 1744378200.0 `1744378894.009125 1744378200.0 `1744378904.010135 1744378200.0 `1744378914.010136 1744378200.0 `1744378924.010168 1744378200.0 `1744378934.010139 1744378200.0 `1744378944.010133 1744378200.0 `1744378954.010135 1744378200.0 `1744378964.009137 1744378200.0 `1744378974.010135 1744378200.0 `1744379024.010134 1744378200.0 `1744379044.010136 1744378200.0 `1744379054.010136 1744378200.0 `1744379094.010134 1744378200.0 `1744379124.010132 1744379100.0 `1744379134.01015 1744379100.0 `1744379144.010146 1744379100.0 `1744379154.01014 1744379100.0 `1744379164.010151 1744379100.0 `1744379175.010138 1744379100.0 `1744379184.009127 1744379100.0 `1744379194.010137 1744379100.0 `1744379204.010141 1744379100.0 `1744379214.010139 1744379100.0 `1744379224.010152 1744379100.0 `1744379234.010149 1744379100.0 `1744379245.010134 1744379100.0 `1744379254.009123 1744379100.0 `1744379264.010134 1744379100.0 `1744379274.010135 1744379100.0 `1744379314.010138 1744379100.0 `1744379334.010135 1744379100.0 `1744379344.010154 1744379100.0 `1744379354.010137 1744379100.0 `1744379364.010134 1744379100.0 `1744379384.010134 1744379100.0 `1744379395.010136 1744379100.0 `1744379404.009146 1744379100.0 `1744379414.010133 1744379100.0 `1744379424.010134 1744379100.0 `1744379434.010134 1744379100.0 `1744379444.010139 1744379100.0 `1744379474.009124 1744379100.0 `1744379484.010192 1744379100.0 `1744379494.010134 1744379100.0 `1744379504.010136 1744379100.0 `1744379514.010135 1744379100.0 `1744379524.010162 1744379100.0 `1744379535.010138 1744379100.0 `1744379544.009127 1744379100.0 `1744379554.010135 1744379100.0 `1744379564.010139 1744379100.0 `1744379574.010136 1744379100.0 `1744379584.010146 1744379100.0 `1744379594.010133 1744379100.0 `1744379624.010133 1744379100.0 `1744379634.010132 1744379100.0 `1744379654.010134 1744379100.0 `1744379664.010139 1744379100.0 `1744379674.010136 1744379100.0 `1744379684.009127 1744379100.0 `1744379694.010138 1744379100.0 `1744379704.010135 1744379100.0 `1744379714.010139 1744379100.0 `1744379724.010139 1744379100.0 `1744379734.010138 1744379100.0 `1744379744.01014 1744379100.0 `1744379755.010139 1744379100.0 `1744379764.009135 1744379100.0 `1744379794.010135 1744379100.0 `1744379804.010136 1744379100.0 `1744379814.010137 1744379100.0 `1744379814.010137 1744379100.0 `1744379824.010155 1744379100.0 `1744379824.010155 1744379100.0 `1744379834.009126 1744379100.0 `1744379834.009126 1744379100.0 `1744379844.010142 1744379100.0 `1744379844.010142 1744379100.0 `1744379864.010137 1744379100.0 `1744379864.010137 1744379100.0 `1744379874.010137 1744379100.0 `1744379884.010155 1744379100.0 `1744379894.010135 1744379100.0 `1744379904.009126 1744379100.0 `1744379914.010135 1744379100.0 `1744379934.010135 1744379100.0 `1744379954.011008 1744379100.0 `1744379994.010133 1744379100.0 `1744380004.01014 1744380000.0 `1744380014.010136 1744380000.0 `1744380024.010137 1744380000.0 `1744380033.009127 1744380000.0 `1744380043.010136 1744380000.0 `1744380054.010137 1744380000.0 `1744380064.010141 1744380000.0 `1744380074.010136 1744380000.0 `1744380084.010135 1744380000.0 `1744380094.010135 1744380000.0 `1744380103.009123 1744380000.0 `1744380134.010136 1744380000.0 `1744380144.010132 1744380000.0 `1744380154.010137 1744380000.0 `1744380164.010137 1744380000.0 `1744380174.01014 1744380000.0 `1744380193.010155 1744380000.0 `1744380204.010138 1744380000.0 `1744380214.01014 1744380000.0 `1744380224.01014 1744380000.0 `1744380234.010137 1744380000.0 `1744380244.010141 1744380000.0 `1744380253.009125 1744380000.0 `1744380284.010134 1744380000.0 `1744380294.010138 1744380000.0 `1744380294.010138 1744380000.0 `1744380304.010151 1744380000.0 `1744380304.010151 1744380000.0 `1744380314.010135 1744380000.0 `1744380314.010135 1744380000.0 `1744380323.009124 1744380000.0 `1744380323.009124 1744380000.0 `1744380344.010137 1744380000.0 `1744380344.010137 1744380000.0 `1744380354.010138 1744380000.0 `1744380364.010139 1744380000.0 `1744380374.010137 1744380000.0 `1744380393.009124 1744380000.0 `1744380403.010135 1744380000.0 `1744380413.010135 1744380000.0 `1744380454.010133 1744380000.0 `1744380464.010133 1744380000.0 `1744380483.010143 1744380000.0 `1744380494.010137 1744380000.0 `1744380504.010134 1744380000.0 `1744380514.010134 1744380000.0 `1744380524.010136 1744380000.0 `1744380534.010137 1744380000.0 `1744380543.009147 1744380000.0 `1744380553.010137 1744380000.0 `1744380564.01014 1744380000.0 `1744380574.010135 1744380000.0 `1744380604.010145 1744380000.0 `1744380613.009129 1744380000.0 `1744380623.010135 1744380000.0 `1744380633.010135 1744380000.0 `1744380644.010136 1744380000.0 `1744380654.010137 1744380000.0 `1744380664.010157 1744380000.0 `1744380674.010136 1744380000.0 `1744380684.010135 1744380000.0 `1744380693.009124 1744380000.0 `1744380703.010135 1744380000.0 `1744380714.010136 1744380000.0 `1744380724.010166 1744380000.0 `1744380744.010132 1744380000.0 `1744380754.010135 1744380000.0 `1744380763.009124 1744380000.0 `1744380773.010136 1744380000.0 `1744380784.010148 1744380000.0 `1744380794.01014 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`1744383914.010135 1744383600.0 `1744383923.009123 1744383600.0 `1744383933.010135 1744383600.0 `1744383944.010135 1744383600.0 `1744383954.010135 1744383600.0 `1744383964.010149 1744383600.0 `1744383974.010138 1744383600.0 `1744383993.00913 1744383600.0 `1744384024.010138 1744383600.0 `1744384044.010134 1744383600.0 `1744384063.009133 1744383600.0 `1744384073.010138 1744383600.0 `1744384104.010133 1744383600.0 `1744384114.010133 1744383600.0 `1744384124.010134 1744383600.0 `1744384134.010135 1744383600.0 `1744384143.009141 1744383600.0 `1744384154.010136 1744383600.0 `1744384164.010145 1744383600.0 `1744384174.010135 1744383600.0 `1744384184.01014 1744383600.0 `1744384194.010136 1744383600.0 `1744384204.010152 1744383600.0 `1744384213.009134 1744383600.0 `1744384224.010135 1744383600.0 `1744384244.010135 1744383600.0 `1744384254.010133 1744383600.0 `1744384264.010149 1744383600.0 `1744384274.010136 1744383600.0 `1744384304.010136 1744383600.0 `1744384314.010143 1744383600.0 `1744384324.010146 1744383600.0 `1744384334.010137 1744383600.0 `1744384344.01014 1744383600.0 `1744384353.009125 1744383600.0 `1744384363.010137 1744383600.0 `1744384474.010137 1744383600.0 `1744384653.010146 1744384500.0 list printed: [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], [57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123], [124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198], [199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278], [279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336], [337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427], [428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492], [493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554], [555]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.01937580108642578 ***** 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'] 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': '11042025', 'map_nb_amount': {0: 5, 1: 29, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 720.0, 'nb_balles_papier': 0.00038000000000000035, 'begin_time_port': 'image_11042025_15_17_54_010136m0.jpg 4e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00038000000000000035 We reject this portfolio because of the condition_save_data : 2025-04-11 15:17:54.010136 ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 5, 1: 52, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999890327454, 'nb_balles_papier': 0.0006500000000000011, 'begin_time_port': 'image_11042025_15_30_04_010145m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006500000000000011 We reject this portfolio because of the condition_save_data : 2025-04-11 15:30:04.010145 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 6, 1: 53, 2: 11, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 870.0000009536743, 'nb_balles_papier': 0.0007100000000000012, 'begin_time_port': 'image_11042025_15_45_24_010132m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007100000000000012 We reject this portfolio because of the condition_save_data : 2025-04-11 15:45:24.010132 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': '11042025', 'map_nb_amount': {0: 6, 1: 35, 2: 9, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999949932098, 'nb_balles_papier': 0.0005000000000000007, 'begin_time_port': 'image_11042025_16_00_04_010140m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005000000000000007 We reject this portfolio because of the condition_save_data : 2025-04-11 16:00:04.010140 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': '11042025', 'map_nb_amount': {0: 1, 1: 31, 2: 1, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 729.9999868869781, 'nb_balles_papier': 0.00034000000000000024, 'begin_time_port': 'image_11042025_16_15_03_9138.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00034000000000000024 We reject this portfolio because of the condition_save_data : 2025-04-11 16:15:03.009138 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info 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': '11042025', 'map_nb_amount': {0: 4, 1: 43, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 819.9999980926514, 'nb_balles_papier': 0.0005000000000000007, 'begin_time_port': 'image_11042025_16_31_14_010139m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005000000000000007 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': '11042025', 'map_nb_amount': {0: 7, 1: 45, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 880.9999921321869, 'nb_balles_papier': 0.0005300000000000007, 'begin_time_port': 'image_11042025_16_45_13_010140m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005300000000000007 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 Catched exception ! Connect or reconnect ! result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 2, 1: 21, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 860.0000030994415, 'nb_balles_papier': 0.0002900000000000001, 'begin_time_port': 'image_11042025_17_00_14_10134.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0002900000000000001 We have rejected 1 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 3 Still a lot to verify ! Still a lot to verify ! Still a lot to verify ! Qualite : 0.034205245265588206 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`=22285521 AND mptpi.`type`=3726 To do Qualite : 0.0467772501443778 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`=22286062 AND mptpi.`type`=3726 To do Qualite : 0.0623070825409386 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`=22287027 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 7.882686376571655 # DISPLAY ALL COLLECTED DATA : {'11042025': {'nb_upload': 556, 'nb_taggue_class': 2107, 'nb_taggue_densite': 2107}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1351768584, 1351766644, 1351766607, 1351766225, 1351766202, 1351766191, 1351766170, 1351766134, 1351766020, 1351766007, 1351765989, 1351765952, 1351765678, 1351765656, 1351765638, 1351765618, 1351765566, 1351765386, 1351765306, 1351765270, 1351765164, 1351765011, 1351764972, 1351764704, 1351764695, 1351764690, 1351764675, 1351764650, 1351764648, 1351764646, 1351764639, 1351764592, 1351764590, 1351764589, 1351764489, 1351764466, 1351764450, 1351764441, 1351764414, 1351764394, 1351764160, 1351764095, 1351764046, 1351763962, 1351763955, 1351763803, 1351763800, 1351763796, 1351763793, 1351763730, 1351763714, 1351763710, 1351763684, 1351763678, 1351763619, 1351763569, 1351763549, 1351763545, 1351763540, 1351763536, 1351763427, 1351763403, 1351763368, 1351763343, 1351763302, 1351763282, 1351763276, 1351763263, 1351763256, 1351763249, 1351763231, 1351763219, 1351762915, 1351762894, 1351762890, 1351762882, 1351762850, 1351762470, 1351762467, 1351762435, 1351762179, 1351762172, 1351762161, 1351761852, 1351761810, 1351761756, 1351761722, 1351761653, 1351761325, 1351761281, 1351761233, 1351761204, 1351761182, 1351761164, 1351760838, 1351760808, 1351760534, 1351760522, 1351760501, 1351760430] Looping around the photos to save general results len do output : 1 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('4876', '22246422', '1351761756', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351761722', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351761653', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351761325', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351761281', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351761233', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351761204', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351761182', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351761164', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351760838', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351760808', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351760534', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351760522', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351760501', None, None, None, None, None, '2745593') ('4876', None, None, None, None, None, None, None, '2745593') ('4876', '22246422', '1351760430', None, None, None, None, None, '2745593') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.09936761856079102 save_final save missing photos in datou_result : time spend for datou_step_exec : 8.378665924072266 time spend to save output : 0.10079813003540039 total time spend for step 1 : 8.479464054107666 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 1.39user 0.80system 0:10.71elapsed 20%CPU (0avgtext+0avgdata 104560maxresident)k 408inputs+136outputs (9major+49750minor)pagefaults 0swaps