python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4891' -s datou_current_4891 -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 : 1663871 load datou : 4891 # 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: {} Date 2026-03-04 07:00:27.751698 Current got : datou_id : 4891, datou_cur_ids : ['4356585'] with mtr_portfolio_ids : ['30616613'] and first list_photo_ids : [] new path : /proc/1663871/ 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 : 0.022449493408203125 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Mar 4 07:00:27 2026 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': 3892, 'mtr_user_id': 31, 'name': 'learn_MM_generique_26022025', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '17736100,17736101,17736102,17736103,17736104,20837895,20837896,17736107,17736108,17736109,17736110,18876169', 'photo_hashtag_type': 4989, 'photo_desc_type': 6092, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] 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', 4), ('01', 4), ('02', 4), ('03', 4), ('04', 4), ('05', 57), ('06', 45)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 111} 04032026 30616613 Nombre de photos uploadées : 122 / 23040 (0%) 04032026 30616613 Nombre de photos taguées (types de déchets): 111 / 122 (90%) 04032026 30616613 Nombre de photos taguées (volume) : 111 / 122 (90%) elapsed_time : load_data_split_time_score 3.0994415283203125e-06 elapsed_time : order_list_meta_photo_and_scores 6.723403930664062e-05 ??????????? elapsed_time : fill_and_build_computed_from_old_data 0.009721040725708008 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.22257351875305176 Creating list_photo_total Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817865.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817866.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817868.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817869.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817870.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817871.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817872.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817874.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817876.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817877.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817878.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817879.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817880.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817881.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817883.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817884.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817885.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817886.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817887.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817890.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817891.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817892.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817908.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817909.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817910.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817912.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817913.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817914.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817915.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817916.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817918.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817920.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817921.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817922.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817923.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817930.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817931.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817933.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817941.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410817981.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818024.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818062.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818101.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818509.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818574.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818631.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818678.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818714.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818751.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818910.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818922.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818937.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818941.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818942.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818943.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818944.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818945.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818946.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818947.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818948.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410818949.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410820336.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410820337.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410820338.desc 404 Not Found [first 60 chars of response] b'

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The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410820339.desc 404 Not Found [first 60 chars of response] b'

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The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410820340.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410820342.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410820344.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410820349.desc 404 Not Found [first 60 chars of response] b'

Not Found

The resource could not be found.<' Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/6092.1410820352.desc 404 Not Found [first 60 chars of response] b'

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The resource could not be found.<' Unable to find some descriptors in ovh, trying to find them in s3 Number missing : 91 Warning this was a bad idea s3 ! elapsed_time : select_descriptors 12.82387638092041 Missing descriptors : 91 04032026 30616613 Nombre de photos avec descriptors (type 6092) : 0 / 95 (0%) Missing descriptors for photos 0 and 1410803048 0:00:00|ON:Missing descriptors for photos 1410803048 and 1410805075 Missing descriptors for photos 1410805075 and 1410805081 Missing descriptors for photos 1410805081 and 1410805084 Missing descriptors for photos 1410805084 and 1410805088 Missing descriptors for photos 1410805088 and 1410808180 Missing descriptors for photos 1410808180 and 1410808183 Missing descriptors for photos 1410808183 and 1410808187 Missing descriptors for photos 1410808187 and 1410810958 Missing descriptors for photos 1410810958 and 1410810961 Missing descriptors for photos 1410810961 and 1410810964 Missing descriptors for photos 1410810964 and 1410810968 Missing descriptors for photos 1410810968 and 1410813182 Missing descriptors for photos 1410813182 and 1410813185 Missing descriptors for photos 1410813185 and 1410813189 Missing descriptors for photos 1410813189 and 1410813193 Missing descriptors for photos 1410813193 and 1410815727 Missing descriptors for photos 1410815727 and 1410815826 Missing descriptors for photos 1410815826 and 1410815928 Missing descriptors for photos 1410815928 and 1410816026 Missing descriptors for photos 1410816026 and 1410817790 Missing descriptors for photos 1410817790 and 1410817850 Missing descriptors for photos 1410817850 and 1410817865 Missing descriptors for photos 1410817865 and 1410817866 Missing descriptors for photos 1410817866 and 1410817868 Missing descriptors for photos 1410817868 and 1410817869 Missing descriptors for photos 1410817869 and 1410817870 Missing descriptors for photos 1410817870 and 1410817871 Missing descriptors for photos 1410817871 and 1410817872 Missing descriptors for photos 1410817872 and 1410817874 Missing descriptors for photos 1410817874 and 1410817876 Missing descriptors for photos 1410817876 and 1410817877 Missing descriptors for photos 1410817877 and 1410817878 Missing descriptors for photos 1410817878 and 1410817879 Missing descriptors for photos 1410817879 and 1410817880 Missing descriptors for photos 1410817880 and 1410817881 Missing descriptors for photos 1410817881 and 1410817883 Missing descriptors for photos 1410817883 and 1410817884 Missing descriptors for photos 1410817884 and 1410817885 Missing descriptors for photos 1410817885 and 1410817886 Missing descriptors for photos 1410817886 and 1410817887 Missing descriptors for photos 1410817887 and 1410817890 Missing descriptors for photos 1410817890 and 1410817891 Missing descriptors for photos 1410817891 and 1410817892 Missing descriptors for photos 1410817892 and 1410817896 Missing descriptors for photos 1410817896 and 1410817908 Missing descriptors for photos 1410817908 and 1410817909 Missing descriptors for photos 1410817909 and 1410817910 Missing descriptors for photos 1410817910 and 1410817912 Missing descriptors for photos 1410817912 and 1410817913 Missing descriptors for photos 1410817913 and 1410817914 Missing descriptors for photos 1410817914 and 1410817915 Missing descriptors for photos 1410817915 and 1410817916 Missing descriptors for photos 1410817916 and 1410817918 Missing descriptors for photos 1410817918 and 1410817920 Missing descriptors for photos 1410817920 and 1410817921 Missing descriptors for photos 1410817921 and 1410817922 Missing descriptors for photos 1410817922 and 1410817923 Missing descriptors for photos 1410817923 and 1410817929 Missing descriptors for photos 1410817929 and 1410817930 Missing descriptors for photos 1410817930 and 1410817931 Missing descriptors for photos 1410817931 and 1410817933 Missing descriptors for photos 1410817933 and 1410817941 Missing descriptors for photos 1410817941 and 1410817981 Missing descriptors for photos 1410817981 and 1410818024 Missing descriptors for photos 1410818024 and 1410818062 Missing descriptors for photos 1410818062 and 1410818101 Missing descriptors for photos 1410818101 and 1410818509 Missing descriptors for photos 1410818509 and 1410818574 Missing descriptors for photos 1410818574 and 1410818631 Missing descriptors for photos 1410818631 and 1410818678 Missing descriptors for photos 1410818678 and 1410818714 Missing descriptors for photos 1410818714 and 1410818751 Missing descriptors for photos 1410818751 and 1410818910 Missing descriptors for photos 1410818910 and 1410818922 Missing descriptors for photos 1410818922 and 1410818937 Missing descriptors for photos 1410818937 and 1410818941 Missing descriptors for photos 1410818941 and 1410818942 Missing descriptors for photos 1410818942 and 1410818943 Missing descriptors for photos 1410818943 and 1410818944 Missing descriptors for photos 1410818944 and 1410818945 Missing descriptors for photos 1410818945 and 1410818946 Missing descriptors for photos 1410818946 and 1410818947 Missing descriptors for photos 1410818947 and 1410818948 Missing descriptors for photos 1410818948 and 1410818949 Missing descriptors for photos 1410818949 and 1410820307 Missing descriptors for photos 1410820307 and 1410820333 Missing descriptors for photos 1410820333 and 1410820336 Missing descriptors for photos 1410820336 and 1410820337 Missing descriptors for photos 1410820337 and 1410820338 Missing descriptors for photos 1410820338 and 1410820339 Missing descriptors for photos 1410820339 and 1410820340 Missing descriptors for photos 1410820340 and 1410820342 Missing descriptors for photos 1410820342 and 1410820344 Missing descriptors for photos 1410820344 and 1410820349 Missing descriptors for photos 1410820349 and 1410820352 Missing descriptors for photos 1410820352 and 1410820353 Missing descriptors for photos 1410820353 and 1410820354 Missing descriptors for photos 1410820354 and 1410820355 Missing descriptors for photos 1410820355 and 1410820356 Missing descriptors for photos 1410820356 and 1410820357 Missing descriptors for photos 1410820357 and 1410820369 Missing descriptors for photos 1410820369 and 1410820374 Missing descriptors for photos 1410820374 and 1410820375 Missing descriptors for photos 1410820375 and 1410820376 Missing descriptors for photos 1410820376 and 1410820377 Missing descriptors for photos 1410820377 and 1410820378 Missing descriptors for photos 1410820378 and 1410820379 Missing descriptors for photos 1410820379 and 1410820380 Missing descriptors for photos 1410820380 and 1410820381 Missing descriptors for photos 1410820381 and 1410820382 Missing descriptors for photos 1410820382 and 1410820383 Missing descriptors for photos 1410820383 and 1410820384 Missing descriptors for photos 1410820384 and 1410820385 Missing descriptors for photos 1410820385 and 1410820386 Missing descriptors for photos 1410820386 and 1410820387 Missing descriptors for photos 1410820387 and 1410820388 Missing descriptors for photos 1410820388 and 1410820389 Missing descriptors for photos 1410820389 and 1410820390 Missing descriptors for photos 1410820390 and 1410820391 Missing descriptors for photos 1410820391 and 1410820392 Missing descriptors for photos 1410820392 and 1410820393 04032026 Removing 0 photos because of the 'same image' condition Total on : 0 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc Warning in study_and_display_distrib_list : min=max : -1 -1 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 122 time used for this insertion : 0.028977155685424805 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.09641766548156738 Creating list_photo_total Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.026260852813720703 Total photos : 122 .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 0 hashtag : 2107760238 photo_id =1410817865 : flux_dev ......................can't find max_score_info .Change port : 22 hashtag : 2107755846 photo_id =1410817908 : pet_clair .............can't find max_score_info .Change port : 13 hashtag : 495916461 photo_id =1410817930 : jrm ..........................can't find max_score_info .can't find max_score_info .Change port : 26 hashtag : 616987804 photo_id =1410820336 : emr ..............can't find max_score_info .Change port : 14 hashtag : 1284539308 photo_id =1410820374 : pcnc ........ Total photos : 122 Number of lists : 6 counter photos in port : 84 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 14 photos in 1 portfolios ! hashtag : film_pedb(2107760237) : 0 photos in 0 portfolios ! hashtag : flux_dev(2107760238) : 22 photos in 1 portfolios ! hashtag : jrm(495916461) : 26 photos in 1 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 9 photos in 1 portfolios ! hashtag : pehd_pp(2107760239) : 0 photos in 0 portfolios ! hashtag : pet_clair(2107755846) : 13 photos in 1 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 1 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.0031235218048095703 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 1.1920928955078125e-06 today str has not a value , we define it as the date of the first image todaystr_first : 04032026 attention , prev_timestamp is 0 , we do nothing *********************** BIG TIME 201.00090408325195 (199.9989948272705, 4, 0, 0, 0, 0, 0.5733991, 0, 0, 0, 0, 0, 0, 0, 2.0298999537944793, 0.0044, 0.0, 0.9, 0.09000007295608521, -0.1333330500125885) on 21 1410817896 2026-03-04 05:41:51.010857 id_data : 44 * BIG TIME 379.99832797050476 (199.9989948272705, 4, 0, 0, 0, 0, 0.5733991, 0, 0, 0, 0, 0, 0, 0, 2.0298999537944793, 0.0044, 0.0, 0.9, 0.09000007295608521, -0.1333330500125885) on 21 1410817908 2026-03-04 05:48:11.009185 id_data : 45 ** BIG TIME 298.99976801872253 (378.999755859375, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.76128626, 0, 0, 2.1049999401807784, 0.0058, 0.0, 2.9, 0.17000063180923464, -0.2683332113424937) on 33 1410817929 2026-03-04 05:56:00.009585 id_data : 58 ** BIG TIME 688.9994029998779 (700.0000228881836, 5, 0, 0, 0, 0, 0, 0.90232384, 0, 0, 0, 0, 0, 0, 2.1659999809026718, 0.0085, 0.0, 0.9, 0.3110006392002106, -0.4500008602937063) on 59 1410820307 2026-03-04 06:12:40.009627 id_data : 85 * BIG TIME 999.9998948574066 (700.0000228881836, 5, 0, 0, 0, 0, 0, 0.90232384, 0, 0, 0, 0, 0, 0, 2.1659999809026718, 0.0085, 0.0, 0.9, 0.3110006392002106, -0.4500008602937063) on 59 1410820333 2026-03-04 06:29:20.009522 id_data : 86 ** BIG TIME 689.999696969986 (911.0007328987122, 2, 0, 0, 0.8271527, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.355999948787689, 0.0101, 0.0, 0.9, 0.21100038099288942, -0.21666706641515096) on 73 1410820369 2026-03-04 06:44:21.009600 id_data : 101 *Unexpected type of data : ({'photo_id': 1410820383, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/3/4/e486a0def74b628f00431eb44f1c8ee9.jpg', 'username': None, 'uploaded_at': 1772603302, 'text': 'image_04032026_06_46_51_9726.jpg', 'time': 1772606811.009726}, 'different') Unexpected type of data : ({'photo_id': 1410820384, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/3/4/0d9016e91df470ca0ac26c292d829266.jpg', 'username': None, 'uploaded_at': 1772603302, 'text': 'image_04032026_06_47_02_10866.jpg', 'time': 1772606822.010866}, 'different') Unexpected type of data : ({'photo_id': 1410820385, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/3/4/d34069c17163f1c3a340d0634f8bea83.jpg', 'username': None, 'uploaded_at': 1772603302, 'text': 'image_04032026_06_47_11_9943.jpg', 'time': 1772606831.009943}, 'different') Unexpected type of data : ({'photo_id': 1410820386, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/3/4/16e56e6c27daa93fa1abfc8ca6e11777.jpg', 'username': None, 'uploaded_at': 1772603302, 'text': 'image_04032026_06_47_21_9717.jpg', 'time': 1772606841.009717}, 'different') Unexpected type of data : ({'photo_id': 1410820387, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/3/4/776db64c3c722e56381b61de7121cf5f.jpg', 'username': None, 'uploaded_at': 1772603302, 'text': 'image_04032026_06_47_31_9697.jpg', 'time': 1772606851.009697}, 'different') Unexpected type of data : ({'photo_id': 1410820388, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/3/4/bab36699a7c1dc56c1d850fc22a053ae.jpg', 'username': None, 'uploaded_at': 1772603302, 'text': 'image_04032026_06_47_40_9617.jpg', 'time': 1772606860.009617}, 'different') Unexpected type of data : ({'photo_id': 1410820389, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/3/4/51c055e0ec49e8f31f0df6d1e87c8944.jpg', 'username': None, 'uploaded_at': 1772603343, 'text': 'image_04032026_06_47_51_10890.jpg', 'time': 1772606871.01089}, 'different') Unexpected type of data : ({'photo_id': 1410820390, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/3/4/edb25d229ee1b99a4cb035436ae05333.jpg', 'username': None, 'uploaded_at': 1772603362, 'text': 'image_04032026_06_48_01_9659.jpg', 'time': 1772606881.009659}, 'different') Unexpected type of data : ({'photo_id': 1410820391, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/3/4/bea01ee9c4aaca1bef7950dfbd95e579.jpg', 'username': None, 'uploaded_at': 1772603362, 'text': 'image_04032026_06_48_11_10485.jpg', 'time': 1772606891.010485}, 'different') Unexpected type of data : ({'photo_id': 1410820392, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/3/4/5d05e1aee2e428f62ec90e354dbe0827.jpg', 'username': None, 'uploaded_at': 1772603362, 'text': 'image_04032026_06_48_31_9761.jpg', 'time': 1772606911.009761}, 'different') Unexpected type of data : ({'photo_id': 1410820393, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/3/4/3766a93c99c7a24c30c7fa9d2381374e.jpg', 'username': None, 'uploaded_at': 1772603362, 'text': 'image_04032026_06_48_41_9705.jpg', 'time': 1772606921.009705}, 'different') Count Time bigger than 30s : 32 #Number Photos for regression : {'04032026': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 9.999933004379272, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 19.998828887939453, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 160.00158095359802, 2107751015: 19.999468088150024, 2107751016: 62.00051498413086, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 128.9992709159851, 2107751015: 60.002285957336426, 2107751016: 9.998746156692505, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 101.00366306304932, 2107751015: 39.999272108078, 2107751016: 159.99817204475403, 2107751017: 9.999531984329224}, 560181804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 108.99890112876892, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 81.00202059745789, 2107751015: 50.000739097595215, 2107751016: 38.99787211418152, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}}} 04032026|aluminium, 05102018_papier_non_papier_dense:0 04032026|aluminium, 05102018_papier_non_papier_peu_dense:0 04032026|aluminium, 05102018_papier_non_papier_presque_vide:9.999933004379272 04032026|aluminium, 05102018_papier_non_papier_tres_dense:0 04032026|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 04032026|ela, 05102018_papier_non_papier_dense:0 04032026|ela, 05102018_papier_non_papier_peu_dense:19.998828887939453 04032026|ela, 05102018_papier_non_papier_presque_vide:0 04032026|ela, 05102018_papier_non_papier_tres_dense:0 04032026|ela, 05102018_papier_non_papier_tres_peu_dense:0 04032026|emr, 05102018_papier_non_papier_dense:0 04032026|emr, 05102018_papier_non_papier_peu_dense:160.00158095359802 04032026|emr, 05102018_papier_non_papier_presque_vide:19.999468088150024 04032026|emr, 05102018_papier_non_papier_tres_dense:62.00051498413086 04032026|emr, 05102018_papier_non_papier_tres_peu_dense:0 04032026|film_pedb, 05102018_papier_non_papier_dense:0 04032026|film_pedb, 05102018_papier_non_papier_peu_dense:0 04032026|film_pedb, 05102018_papier_non_papier_presque_vide:0 04032026|film_pedb, 05102018_papier_non_papier_tres_dense:0 04032026|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 04032026|flux_dev, 05102018_papier_non_papier_dense:0 04032026|flux_dev, 05102018_papier_non_papier_peu_dense:128.9992709159851 04032026|flux_dev, 05102018_papier_non_papier_presque_vide:60.002285957336426 04032026|flux_dev, 05102018_papier_non_papier_tres_dense:9.998746156692505 04032026|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 04032026|jrm, 05102018_papier_non_papier_dense:0 04032026|jrm, 05102018_papier_non_papier_peu_dense:101.00366306304932 04032026|jrm, 05102018_papier_non_papier_presque_vide:39.999272108078 04032026|jrm, 05102018_papier_non_papier_tres_dense:159.99817204475403 04032026|jrm, 05102018_papier_non_papier_tres_peu_dense:9.999531984329224 04032026|pcm, 05102018_papier_non_papier_dense:0 04032026|pcm, 05102018_papier_non_papier_peu_dense:0 04032026|pcm, 05102018_papier_non_papier_presque_vide:0 04032026|pcm, 05102018_papier_non_papier_tres_dense:0 04032026|pcm, 05102018_papier_non_papier_tres_peu_dense:0 04032026|pcnc, 05102018_papier_non_papier_dense:0 04032026|pcnc, 05102018_papier_non_papier_peu_dense:0 04032026|pcnc, 05102018_papier_non_papier_presque_vide:0 04032026|pcnc, 05102018_papier_non_papier_tres_dense:108.99890112876892 04032026|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 04032026|pehd_pp, 05102018_papier_non_papier_dense:0 04032026|pehd_pp, 05102018_papier_non_papier_peu_dense:0 04032026|pehd_pp, 05102018_papier_non_papier_presque_vide:0 04032026|pehd_pp, 05102018_papier_non_papier_tres_dense:0 04032026|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 04032026|pet_clair, 05102018_papier_non_papier_dense:0 04032026|pet_clair, 05102018_papier_non_papier_peu_dense:81.00202059745789 04032026|pet_clair, 05102018_papier_non_papier_presque_vide:50.000739097595215 04032026|pet_clair, 05102018_papier_non_papier_tres_dense:38.99787211418152 04032026|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 04032026|refus, 05102018_papier_non_papier_dense:0 04032026|refus, 05102018_papier_non_papier_peu_dense:0 04032026|refus, 05102018_papier_non_papier_presque_vide:0 04032026|refus, 05102018_papier_non_papier_tres_dense:0 04032026|refus, 05102018_papier_non_papier_tres_peu_dense:0 04032026|tapis_vide, 05102018_papier_non_papier_dense:0 04032026|tapis_vide, 05102018_papier_non_papier_peu_dense:0 04032026|tapis_vide, 05102018_papier_non_papier_presque_vide:0 04032026|tapis_vide, 05102018_papier_non_papier_tres_dense:0 04032026|tapis_vide, 05102018_papier_non_papier_tres_peu_dense:0 #Number Photos for regression amount gros magasin papier (time_diff then nb_photo) : We have not displayed the number of photos removed for one material since Rungis_Papier wasn't in the thcl used ! 04032026_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 1 Created to study and clean : 30618795 with name like 04032026_aluminium_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : ela 2 Created to study and clean : 30618796 with name like 04032026_ela_05102018_papier_non_papier_peu_dense Number amount portfolio for this type of dechet : emr 16 Created to study and clean : 30618797 with name like 04032026_emr_05102018_papier_non_papier_peu_dense Created to study and clean : 30618798 with name like 04032026_emr_05102018_papier_non_papier_presque_vide Created to study and clean : 30618799 with name like 04032026_emr_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : film_pedb 0 Number amount portfolio for this type of dechet : flux_dev 18 Created to study and clean : 30618800 with name like 04032026_flux_dev_05102018_papier_non_papier_peu_dense Created to study and clean : 30618801 with name like 04032026_flux_dev_05102018_papier_non_papier_presque_vide Created to study and clean : 30618803 with name like 04032026_flux_dev_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : jrm 26 Created to study and clean : 30618804 with name like 04032026_jrm_05102018_papier_non_papier_peu_dense Created to study and clean : 30618805 with name like 04032026_jrm_05102018_papier_non_papier_presque_vide Created to study and clean : 30618806 with name like 04032026_jrm_05102018_papier_non_papier_tres_dense Created to study and clean : 30618807 with name like 04032026_jrm_05102018_papier_non_papier_tres_peu_dense Number amount portfolio for this type of dechet : pcm 0 Number amount portfolio for this type of dechet : pcnc 7 Number amount portfolio for this type of dechet : pehd_pp 0 Number amount portfolio for this type of dechet : pet_clair 12 Created to study and clean : 30618808 with name like 04032026_pet_clair_05102018_papier_non_papier_peu_dense Created to study and clean : 30618809 with name like 04032026_pet_clair_05102018_papier_non_papier_presque_vide Created to study and clean : 30618810 with name like 04032026_pet_clair_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : refus 0 Number amount portfolio for this type of dechet : tapis_vide 0 NUMBER BATCH : 6 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['emr', 'gm', 'jrm', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev', 'aluminium', 'tapis_vide', 'refus', 'emr', 'gm'] We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_flux_dev:{'day': '04032026', 'map_nb_amount': {0: 13, 1: 8, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 148.99809980392456, 1: 70.0022189617157, 2: 9.998746156692505, 3: 0, 4: 0}, 'duration': 228.99906492233276, 'nb_balles_papier': 0.2299990649223327, 'begin_time_port': 'image_04032026_05_34_41_10888.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2299990649223327 We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! result_one_balle_Type_pet_clair:{'day': '04032026', 'map_nb_amount': {0: 5, 1: 5, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 81.00202059745789, 1: 50.000739097595215, 2: 38.99787211418152, 3: 0, 4: 0}, 'duration': 170.00063180923462, 'nb_balles_papier': 0.17100063180923464, 'begin_time_port': 'image_04032026_05_48_11_9185.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.17100063180923464 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_jrm:{'day': '04032026', 'map_nb_amount': {0: 9, 1: 4, 2: 12, 3: 1, 4: 0}, 'map_time_amount': {0: 101.00366306304932, 1: 39.999272108078, 2: 159.99817204475403, 3: 9.999531984329224, 4: 0}, 'duration': 270.00051617622375, 'nb_balles_papier': 0.3110006392002106, 'begin_time_port': 'image_04032026_05_56_41_9708.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.3110006392002106 hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '04032026', 'map_nb_amount': {0: 9, 1: 2, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 160.00158095359802, 1: 19.999468088150024, 2: 30.999331951141357, 3: 0, 4: 0}, 'duration': 130.00023984909058, 'nb_balles_papier': 0.21100038099288942, 'begin_time_port': 'image_04032026_06_30_41_9663.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.21100038099288942 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '04032026', 'map_nb_amount': {0: 9, 1: 2, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 160.00158095359802, 1: 19.999468088150024, 2: 30.999331951141357, 3: 0, 4: 0}, 'duration': 130.00023984909058, 'nb_balles_papier': 0.21100038099288942, 'begin_time_port': 'image_04032026_06_30_41_9663.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.21100038099288942 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 5 list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [30618815] find same portfolio which already exist 30618815 , we will use it # 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 ! 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 ! 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 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : 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 : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 have datatype=2 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`=30618812 AND mptpi.`type`=4200 To do # 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 ! 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 ! 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 ! 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 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! 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 ! WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2 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`=30618813 AND mptpi.`type`=3327 To do # 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 ! 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 ! 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 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 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 ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 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`=30618814 AND mptpi.`type`=3726 To do # 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 ! 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : 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 : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2 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`=30618815 AND mptpi.`type`=4207 To do # 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 ! 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : 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 : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2 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`=30618815 AND mptpi.`type`=4207 To do elapsed_time : count_nb_balles_and_create_portfolio 113.79579949378967 # DISPLAY ALL COLLECTED DATA : {'04032026': {'nb_upload': 122, 'nb_taggue_class': 111, 'nb_taggue_densite': 111, 'nb_descriptors': 0, 'number_port': 6, 'count_photo_in_port': 84, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 14, 'nb_portfolios': 1}, 'film_pedb': {'nb_photos': 0, 'nb_portfolios': 0}, 'flux_dev': {'nb_photos': 22, 'nb_portfolios': 1}, 'jrm': {'nb_photos': 26, 'nb_portfolios': 1}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 9, 'nb_portfolios': 1}, 'pehd_pp': {'nb_photos': 0, 'nb_portfolios': 0}, 'pet_clair': {'nb_photos': 13, 'nb_portfolios': 1}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 1}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1410820393, 1410820392, 1410820391, 1410820390, 1410820389, 1410820388, 1410820387, 1410820386, 1410820385, 1410820384, 1410820383, 1410820382, 1410820381, 1410820380, 1410820379, 1410820378, 1410820377, 1410820376, 1410820375, 1410820374, 1410820369, 1410820357, 1410820356, 1410820355, 1410820354, 1410820353, 1410820352, 1410820349, 1410820344, 1410820342, 1410820340, 1410820339, 1410820338, 1410820337, 1410820336, 1410820333, 1410820307, 1410818949, 1410818948, 1410818947, 1410818946, 1410818945, 1410818944, 1410818943, 1410818942, 1410818941, 1410818937, 1410818922, 1410818910, 1410818751, 1410818714, 1410818678, 1410818631, 1410818574, 1410818509, 1410818101, 1410818062, 1410818024, 1410817981, 1410817941, 1410817933, 1410817931, 1410817930, 1410817929, 1410817923, 1410817922, 1410817921, 1410817920, 1410817918, 1410817916, 1410817915, 1410817914, 1410817913, 1410817912, 1410817910, 1410817909, 1410817908, 1410817896, 1410817892, 1410817891, 1410817890, 1410817887, 1410817886, 1410817885, 1410817884, 1410817883, 1410817881, 1410817880, 1410817879, 1410817878, 1410817877, 1410817876, 1410817874, 1410817872, 1410817871, 1410817870, 1410817869, 1410817868, 1410817866, 1410817865] Looping around the photos to save general results len do output : 1 /30616613Didn'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 ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820393', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820392', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820391', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820390', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820389', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820388', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820387', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820386', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820385', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820384', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820383', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820382', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820381', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820380', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820379', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820378', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820377', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820376', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820375', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820374', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820369', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820357', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820356', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820355', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820354', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820353', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820352', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820349', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820344', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820342', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820340', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820339', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820338', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820337', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820336', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820333', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410820307', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818949', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818948', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818947', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818946', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818945', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818944', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818943', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818942', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818941', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818937', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818922', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818910', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818751', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818714', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818678', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818631', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818574', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818509', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818101', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818062', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410818024', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817981', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817941', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817933', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817931', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817930', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817929', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817923', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817922', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817921', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817920', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817918', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817916', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817915', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817914', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817913', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817912', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817910', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817909', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817908', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817896', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817892', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817891', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817890', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817887', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817886', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817885', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817884', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817883', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817881', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817880', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817879', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817878', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817877', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817876', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817874', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817872', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817871', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817870', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817869', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817868', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817866', None, None, None, None, None, '4356585') ('4891', None, None, None, None, None, None, None, '4356585') ('4891', '30616613', '1410817865', None, None, None, None, None, '4356585') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.040685176849365234 save_final save missing photos in datou_result : time spend for datou_step_exec : 127.09760761260986 time spend to save output : 0.043868064880371094 total time spend for step 1 : 127.14147567749023 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 2.01user 0.82system 2:10.75elapsed 2%CPU (0avgtext+0avgdata 109704maxresident)k 85640inputs+248outputs (8450major+54642minor)pagefaults 0swaps