python /home/admin/mtr/script_for_cron.py -j default -m 20 -a 'python3 ~/workarea/git/Velours/python/prod/datou.py -j batch_current -a 4910 -P 20090341' -s traitement_4887 -M 0 -S 0 -U 100,80,95 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/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', '/home/admin/workarea/git/apy', '/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 : 500027 load datou : 4910 # 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 ! 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 13969 copy_chis is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13970 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13967 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition ! WARNING : number of outputs for step 13967 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13974 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13968 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 13971 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13972 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13973 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs ! Step 13975 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 : output 0 of step 13969 have datatype=11 whereas input 0 of step 13967 have datatype=2 WARNING : type of output 1 of step 13970 doesn't seem to be define in the database( WARNING : type of input 3 of step 13968 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13970 doesn't seem to be define in the database( WARNING : type of input 1 of step 13967 doesn't seem to be define in the database( WARNING : output 0 of step 13974 have datatype=10 whereas input 3 of step 13973 have datatype=6 WARNING : type of input 1 of step 13974 doesn't seem to be define in the database( WARNING : output 1 of step 13967 have datatype=7 whereas input 1 of step 13974 have datatype=None WARNING : type of output 1 of step 13974 doesn't seem to be define in the database( WARNING : type of input 4 of step 13968 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13969 doesn't seem to be define in the database( WARNING : type of input 1 of step 13970 doesn't seem to be define in the database( DataTypes for each output/input checked ! 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 : id de la photo (peut être local ou global) was removed should we ? donnée sous forme de nombre was removed should we ? None was removed should we ? donnée sous forme de texte was removed should we ? chemin de la photo was removed should we ? donnée sous forme de texte was removed should we ? [ (photo_id, photo_id_loc, hashtag_type, x0, x1, y0, y1, score), ...] was removed should we ? None was removed should we ? donnée sous forme de texte was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? id de la photo (peut être local ou global) was removed should we ? donnée sous forme de texte was removed should we ? donnée sous forme de texte was removed should we ? donnée sous forme de texte was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? donnée sous forme de texte was removed should we ? 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 updating current state to 1 list_input_json: [] Current got : datou_id : 4910, datou_cur_ids : ['2565714'] with mtr_portfolio_ids : ['20090341'] and first list_photo_ids : [] new path : /proc/500027/ 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) 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 13969 copy_chis is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13970 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13967 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition ! WARNING : number of outputs for step 13967 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13974 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13968 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 13971 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13972 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13973 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs ! Step 13975 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 : output 0 of step 13969 have datatype=11 whereas input 0 of step 13967 have datatype=2 WARNING : type of output 1 of step 13970 doesn't seem to be define in the database( WARNING : type of input 3 of step 13968 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13970 doesn't seem to be define in the database( WARNING : type of input 1 of step 13967 doesn't seem to be define in the database( WARNING : output 0 of step 13974 have datatype=10 whereas input 3 of step 13973 have datatype=6 WARNING : type of input 1 of step 13974 doesn't seem to be define in the database( WARNING : output 1 of step 13967 have datatype=7 whereas input 1 of step 13974 have datatype=None WARNING : type of output 1 of step 13974 doesn't seem to be define in the database( WARNING : type of input 4 of step 13968 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13969 doesn't seem to be define in the database( WARNING : type of input 1 of step 13970 doesn't seem to be define in the database( DataTypes for each output/input checked ! List Step Type Loaded in datou : copy_chis, consolidate_hashtags_from_manual_portfolio, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final, blur_detection, brightness, send_mail_cod, split_time_score over limit max, limiting to limit_max 100 list_input_json : [] origin We have 1 , BFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 44 ; length of list_pids : 44 ; length of list_args : 44 time to download the photos : 8.088391065597534 About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 9 step1:copy_chis Fri Feb 7 18:03:15 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Begin step datou_step_copy_crop batch 1 Loaded 1093 chid ids of type : 4211 batch 1 Loaded 138 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 165 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 144 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 161 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 136 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 146 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 161 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 163 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 165 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : copy_chis we use saveGeneral [1333148338, 1333148335, 1333148330, 1333147865, 1333147832, 1333147778, 1333147771, 1333147648, 1333147358, 1333147291, 1333146053, 1333146050, 1333146045, 1333146040, 1333146035, 1333146019, 1333046662, 1333046661, 1333046656, 1333046653, 1333046650, 1333046644, 1333046559, 1333046555, 1333046552, 1333046546, 1333045510, 1333045503, 1333045498, 1333045490, 1333045482, 1333045420, 1333044470, 1333044449, 1333044428, 1333044409, 1333044404, 1333044381, 1333044372, 1333044363, 1333044352, 1333044348, 1333043896, 1333043879] Looping around the photos to save general results len do output : 44 /1333043879Didn't retrieve data . /1333043896Didn't retrieve data . /1333044348Didn't retrieve data . /1333044352Didn't retrieve data . /1333044363Didn't retrieve data . /1333044372Didn't retrieve data . /1333044381Didn't retrieve data . /1333044404Didn't retrieve data . /1333044409Didn't retrieve data . /1333044428Didn't retrieve data . /1333044449Didn't retrieve data . /1333044470Didn't retrieve data . /1333045420Didn't retrieve data . /1333045482Didn't retrieve data . /1333045490Didn't retrieve data . /1333045498Didn't retrieve data . /1333045503Didn't retrieve data . /1333045510Didn't retrieve data . /1333046546Didn't retrieve data . /1333046552Didn't retrieve data . /1333046555Didn't retrieve data . /1333046559Didn't retrieve data . /1333046644Didn't retrieve data . /1333046650Didn't retrieve data . /1333046653Didn't retrieve data . /1333046656Didn't retrieve data . /1333046661Didn't retrieve data . /1333046662Didn't retrieve data . /1333146019Didn't retrieve data . /1333146035Didn't retrieve data . /1333146040Didn't retrieve data . /1333146045Didn't retrieve data . /1333146050Didn't retrieve data . /1333146053Didn't retrieve data . /1333147291Didn't retrieve data . /1333147358Didn't retrieve data . /1333147648Didn't retrieve data . /1333147771Didn't retrieve data . /1333147778Didn't retrieve data . /1333147832Didn't retrieve data . /1333147865Didn't retrieve data . /1333148330Didn't retrieve data . /1333148335Didn't retrieve data . /1333148338Didn'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 ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148338', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148335', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148330', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147865', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147832', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147778', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147771', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147648', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147358', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147291', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146053', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146050', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146045', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146040', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146035', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146019', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046662', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046661', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046656', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046653', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046650', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046644', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046559', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046555', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046552', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046546', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045510', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045503', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045498', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045490', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045482', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045420', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044470', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044449', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044428', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044409', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044404', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044381', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044372', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044363', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044352', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044348', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333043896', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333043879', None, None, None, None, None, '2565714') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 88 time used for this insertion : 0.023000001907348633 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.7890925407409668 time spend to save output : 0.024012327194213867 total time spend for step 1 : 0.8131048679351807 step2:consolidate_hashtags_from_manual_portfolio Fri Feb 7 18:03:16 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure beginning of datou step consolidate_hashtags_from_manual_portfolio Iterating over portfolio : 20090341 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`=20090341 AND mptpi.`type`=4211 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('barquette_opaque','carton','ela','environnement','etiquette','film_plastique','kraft','metal','papier','pehd','pet_clair','pet_opaque','textiles_sanitaires','pet_fonce','mal_croppe','flou')) To do 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`=20090341 AND mptpi.`type`=4211 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('barquette_opaque','carton','ela','environnement','etiquette','film_plastique','kraft','metal','papier','pehd','pet_clair','pet_opaque','textiles_sanitaires','pet_fonce','mal_croppe','flou')) To do TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090476 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1229 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090477 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 546 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090478 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 398 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090479 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 73 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090480 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1328 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090481 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 143 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090482 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 893 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090483 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 778 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090484 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1275 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090485 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1121 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090486 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1258 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090487 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 107 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090488 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1018 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090489 AND mpp.hide_status=0 ORDER BY ph.size desc TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090490 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 63 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090491 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 214 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : To test ! Use context local managing function ! Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : consolidate_hashtags_from_manual_portfolio we use saveGeneral [1333148338, 1333148335, 1333148330, 1333147865, 1333147832, 1333147778, 1333147771, 1333147648, 1333147358, 1333147291, 1333146053, 1333146050, 1333146045, 1333146040, 1333146035, 1333146019, 1333046662, 1333046661, 1333046656, 1333046653, 1333046650, 1333046644, 1333046559, 1333046555, 1333046552, 1333046546, 1333045510, 1333045503, 1333045498, 1333045490, 1333045482, 1333045420, 1333044470, 1333044449, 1333044428, 1333044409, 1333044404, 1333044381, 1333044372, 1333044363, 1333044352, 1333044348, 1333043896, 1333043879] Looping around the photos to save general results len do output : 6 /Tassign value string error string indices must be integers invalid literal for int() with base 10: 'T' begin to insert list_values into mtr_datou_result : length of list_values in save_final : 44 time used for this insertion : 0.03297567367553711 save_final save missing photos in datou_result : time spend for datou_step_exec : 11.711432218551636 time spend to save output : 0.03321194648742676 total time spend for step 2 : 11.744644165039062 step3:rle_unique_nms_with_priority Fri Feb 7 18:03:28 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array VR 22-3-18 : For now we do not clean correctly the datou structure Begin step rle-unique-nms batch 1 Loaded 1093 chid ids of type : 4211 seulement à utiliser dans la step consolidation batch 1 Loaded 43 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.032250165939331055 seulement à utiliser dans la step consolidation batch 1 Loaded 27 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.028043746948242188 seulement à utiliser dans la step consolidation batch 1 Loaded 32 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.035083770751953125 seulement à utiliser dans la step consolidation batch 1 Loaded 20 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0352635383605957 seulement à utiliser dans la step consolidation batch 1 Loaded 43 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03669571876525879 seulement à utiliser dans la step consolidation batch 1 Loaded 40 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03536415100097656 seulement à utiliser dans la step consolidation batch 1 Loaded 36 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03394031524658203 seulement à utiliser dans la step consolidation batch 1 Loaded 39 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03371000289916992 seulement à utiliser dans la step consolidation batch 1 Loaded 26 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.035741329193115234 seulement à utiliser dans la step consolidation batch 1 Loaded 22 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.02884960174560547 seulement à utiliser dans la step consolidation batch 1 Loaded 37 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03812408447265625 seulement à utiliser dans la step consolidation batch 1 Loaded 31 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.033019065856933594 seulement à utiliser dans la step consolidation batch 1 Loaded 28 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03317737579345703 seulement à utiliser dans la step consolidation batch 1 Loaded 37 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03841137886047363 seulement à utiliser dans la step consolidation batch 1 Loaded 28 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03233671188354492 seulement à utiliser dans la step consolidation batch 1 Loaded 23 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0339970588684082 seulement à utiliser dans la step consolidation batch 1 Loaded 40 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03494882583618164 seulement à utiliser dans la step consolidation batch 1 Loaded 30 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03244757652282715 seulement à utiliser dans la step consolidation batch 1 Loaded 28 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03496694564819336 seulement à utiliser dans la step consolidation batch 1 Loaded 25 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.029573440551757812 seulement à utiliser dans la step consolidation batch 1 Loaded 22 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03508901596069336 seulement à utiliser dans la step consolidation batch 1 Loaded 32 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03732562065124512 seulement à utiliser dans la step consolidation batch 1 Loaded 19 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03056788444519043 seulement à utiliser dans la step consolidation batch 1 Loaded 35 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03399252891540527 seulement à utiliser dans la step consolidation batch 1 Loaded 28 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.02987980842590332 seulement à utiliser dans la step consolidation batch 1 Loaded 28 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03102874755859375 seulement à utiliser dans la step consolidation batch 1 Loaded 24 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03217649459838867 seulement à utiliser dans la step consolidation batch 1 Loaded 33 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03534197807312012 seulement à utiliser dans la step consolidation batch 1 Loaded 37 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.033884525299072266 seulement à utiliser dans la step consolidation batch 1 Loaded 39 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.029925107955932617 seulement à utiliser dans la step consolidation batch 1 Loaded 41 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.034984588623046875 seulement à utiliser dans la step consolidation batch 1 Loaded 40 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03373885154724121 seulement à utiliser dans la step consolidation batch 1 Loaded 34 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.038637638092041016 seulement à utiliser dans la step consolidation batch 1 Loaded 29 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03257322311401367 seulement à utiliser dans la step consolidation batch 1 Loaded 38 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03436899185180664 seulement à utiliser dans la step consolidation batch 1 Loaded 35 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0356905460357666 seulement à utiliser dans la step consolidation batch 1 Loaded 31 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03369307518005371 seulement à utiliser dans la step consolidation batch 1 Loaded 27 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.034061431884765625 seulement à utiliser dans la step consolidation batch 1 Loaded 34 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.035019636154174805 seulement à utiliser dans la step consolidation batch 1 Loaded 34 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.032961130142211914 seulement à utiliser dans la step consolidation batch 1 Loaded 17 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03188800811767578 seulement à utiliser dans la step consolidation batch 1 Loaded 11 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.031029224395751953 seulement à utiliser dans la step consolidation batch 1 Loaded 36 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.031072139739990234 seulement à utiliser dans la step consolidation batch 1 Loaded 40 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.04018568992614746 map_output_result : {1333148338: (0.0, 'Should be the crop_list due to order', 0.0), 1333148335: (0.0, 'Should be the crop_list due to order', 0.0), 1333148330: (0.0, 'Should be the crop_list due to order', 0.0), 1333147865: (0.0, 'Should be the crop_list due to order', 0), 1333147832: (0.0, 'Should be the crop_list due to order', 0.0), 1333147778: (0.0, 'Should be the crop_list due to order', 0.0), 1333147771: (0.0, 'Should be the crop_list due to order', 0.0), 1333147648: (0.0, 'Should be the crop_list due to order', 0.0), 1333147358: (0.0, 'Should be the crop_list due to order', 0.0), 1333147291: (0.0, 'Should be the crop_list due to order', 0.0), 1333146053: (0.0, 'Should be the crop_list due to order', 0.0), 1333146050: (0.0, 'Should be the crop_list due to order', 0.0), 1333146045: (0.0, 'Should be the crop_list due to order', 0.0), 1333146040: (0.0, 'Should be the crop_list due to order', 0.0), 1333146035: (0.0, 'Should be the crop_list due to order', 0.0), 1333146019: (0.0, 'Should be the crop_list due to order', 0.0), 1333046662: (0.0, 'Should be the crop_list due to order', 0.0), 1333046661: (0.0, 'Should be the crop_list due to order', 0.0), 1333046656: (0.0, 'Should be the crop_list due to order', 0.0), 1333046653: (0.0, 'Should be the crop_list due to order', 0.0), 1333046650: (0.0, 'Should be the crop_list due to order', 0.0), 1333046644: (0.0, 'Should be the crop_list due to order', 0.0), 1333046559: (0.0, 'Should be the crop_list due to order', 0.0), 1333046555: (0.0, 'Should be the crop_list due to order', 0.0), 1333046552: (0.0, 'Should be the crop_list due to order', 0), 1333046546: (0.0, 'Should be the crop_list due to order', 0), 1333045510: (0.0, 'Should be the crop_list due to order', 0.0), 1333045503: (0.0, 'Should be the crop_list due to order', 0.0), 1333045498: (0.0, 'Should be the crop_list due to order', 0.0), 1333045490: (0.0, 'Should be the crop_list due to order', 0.0), 1333045482: (0.0, 'Should be the crop_list due to order', 0.0), 1333045420: (0.0, 'Should be the crop_list due to order', 0.0), 1333044470: (0.0, 'Should be the crop_list due to order', 0.0), 1333044449: (0.0, 'Should be the crop_list due to order', 0.0), 1333044428: (0.0, 'Should be the crop_list due to order', 0.0), 1333044409: (0.0, 'Should be the crop_list due to order', 0.0), 1333044404: (0.0, 'Should be the crop_list due to order', 0.0), 1333044381: (0.0, 'Should be the crop_list due to order', 0.0), 1333044372: (0.0, 'Should be the crop_list due to order', 0.0), 1333044363: (0.0, 'Should be the crop_list due to order', 0), 1333044352: (0.0, 'Should be the crop_list due to order', 0.0), 1333044348: (0.0, 'Should be the crop_list due to order', 0), 1333043896: (0.0, 'Should be the crop_list due to order', 0.0), 1333043879: (0.0, 'Should be the crop_list due to order', 0.0)} End step rle-unique-nms Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : rle_unique_nms_with_priority we use saveGeneral [1333148338, 1333148335, 1333148330, 1333147865, 1333147832, 1333147778, 1333147771, 1333147648, 1333147358, 1333147291, 1333146053, 1333146050, 1333146045, 1333146040, 1333146035, 1333146019, 1333046662, 1333046661, 1333046656, 1333046653, 1333046650, 1333046644, 1333046559, 1333046555, 1333046552, 1333046546, 1333045510, 1333045503, 1333045498, 1333045490, 1333045482, 1333045420, 1333044470, 1333044449, 1333044428, 1333044409, 1333044404, 1333044381, 1333044372, 1333044363, 1333044352, 1333044348, 1333043896, 1333043879] Looping around the photos to save general results len do output : 44 /1333148338.Didn't retrieve data . /1333148335.Didn't retrieve data . /1333148330.Didn't retrieve data . /1333147865.Didn't retrieve data . /1333147832.Didn't retrieve data . /1333147778.Didn't retrieve data . /1333147771.Didn't retrieve data . /1333147648.Didn't retrieve data . /1333147358.Didn't retrieve data . /1333147291.Didn't retrieve data . /1333146053.Didn't retrieve data . /1333146050.Didn't retrieve data . /1333146045.Didn't retrieve data . /1333146040.Didn't retrieve data . /1333146035.Didn't retrieve data . /1333146019.Didn't retrieve data . /1333046662.Didn't retrieve data . /1333046661.Didn't retrieve data . /1333046656.Didn't retrieve data . /1333046653.Didn't retrieve data . /1333046650.Didn't retrieve data . /1333046644.Didn't retrieve data . /1333046559.Didn't retrieve data . /1333046555.Didn't retrieve data . /1333046552.Didn't retrieve data . /1333046546.Didn't retrieve data . /1333045510.Didn't retrieve data . /1333045503.Didn't retrieve data . /1333045498.Didn't retrieve data . /1333045490.Didn't retrieve data . /1333045482.Didn't retrieve data . /1333045420.Didn't retrieve data . /1333044470.Didn't retrieve data . /1333044449.Didn't retrieve data . /1333044428.Didn't retrieve data . /1333044409.Didn't retrieve data . /1333044404.Didn't retrieve data . /1333044381.Didn't retrieve data . /1333044372.Didn't retrieve data . /1333044363.Didn't retrieve data . /1333044352.Didn't retrieve data . /1333044348.Didn't retrieve data . /1333043896.Didn't retrieve data . /1333043879.Didn't retrieve data . before output type Used above Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148338', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148335', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148330', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147865', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147832', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147778', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147771', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147648', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147358', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147291', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146053', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146050', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146045', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146040', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146035', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146019', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046662', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046661', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046656', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046653', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046650', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046644', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046559', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046555', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046552', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046546', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045510', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045503', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045498', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045490', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045482', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045420', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044470', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044449', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044428', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044409', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044404', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044381', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044372', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044363', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044352', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044348', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333043896', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333043879', None, None, None, None, None, '2565714') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 132 time used for this insertion : 0.3664095401763916 save_final save missing photos in datou_result : time spend for datou_step_exec : 5.560122728347778 time spend to save output : 0.3677253723144531 total time spend for step 3 : 5.9278481006622314 step4:ventilate_hashtags_in_portfolio Fri Feb 7 18:03:34 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure beginning of datou step ventilate_hashtags_in_portfolio : To implement ! Iterating over portfolio : 20090341 get user id for portfolio 20090341 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`=20090341 AND mptpi.`type`=4211 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('barquette_opaque','carton','ela','environnement','etiquette','film_plastique','kraft','metal','papier','pehd','pet_clair','pet_opaque','textiles_sanitaires','pet_fonce','mal_croppe','flou')) AND mptpi.`min_score`=0.5 To do To do ! Use context local managing function ! 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`=20090341 AND mptpi.`type`=4211 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('barquette_opaque','carton','ela','environnement','etiquette','film_plastique','kraft','metal','papier','pehd','pet_clair','pet_opaque','textiles_sanitaires','pet_fonce','mal_croppe','flou')) AND mptpi.`min_score`=0.5 To do lien utilise dans velours : https://www.fotonower.com/velours/20090476,20090477,20090478,20090479,20090480,20090481,20090482,20090483,20090484,20090485,20090486,20090487,20090488,20090489,20090490,20090491?tags=flou,environnement,pet_opaque,pet_fonce,mal_croppe,metal,papier,carton,barquette_opaque,etiquette,pehd,pet_clair,film_plastique,textiles_sanitaires,kraft,ela Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1333148338, 1333148335, 1333148330, 1333147865, 1333147832, 1333147778, 1333147771, 1333147648, 1333147358, 1333147291, 1333146053, 1333146050, 1333146045, 1333146040, 1333146035, 1333146019, 1333046662, 1333046661, 1333046656, 1333046653, 1333046650, 1333046644, 1333046559, 1333046555, 1333046552, 1333046546, 1333045510, 1333045503, 1333045498, 1333045490, 1333045482, 1333045420, 1333044470, 1333044449, 1333044428, 1333044409, 1333044404, 1333044381, 1333044372, 1333044363, 1333044352, 1333044348, 1333043896, 1333043879] Looping around the photos to save general results len do output : 1 /20090341. 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 ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148338', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148335', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148330', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147865', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147832', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147778', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147771', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147648', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147358', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147291', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146053', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146050', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146045', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146040', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146035', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146019', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046662', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046661', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046656', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046653', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046650', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046644', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046559', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046555', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046552', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046546', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045510', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045503', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045498', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045490', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045482', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045420', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044470', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044449', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044428', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044409', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044404', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044381', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044372', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044363', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044352', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044348', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333043896', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333043879', None, None, None, None, None, '2565714') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 45 time used for this insertion : 0.02468395233154297 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.4615652561187744 time spend to save output : 0.025110244750976562 total time spend for step 4 : 0.486675500869751 step5:final Fri Feb 7 18:03:34 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! complete output_args for input 2 VR 22-3-18 : For now we do not clean correctly the datou structure Beginning of datou step final ! Inside saveOutput : final : False verbose : 0 original output for save of step final : {1333148338: ('0.08490817171653804',), 1333148335: ('0.08490817171653804',), 1333148330: ('0.08490817171653804',), 1333147865: ('0.08490817171653804',), 1333147832: ('0.08490817171653804',), 1333147778: ('0.08490817171653804',), 1333147771: ('0.08490817171653804',), 1333147648: ('0.08490817171653804',), 1333147358: ('0.08490817171653804',), 1333147291: ('0.08490817171653804',), 1333146053: ('0.08490817171653804',), 1333146050: ('0.08490817171653804',), 1333146045: ('0.08490817171653804',), 1333146040: ('0.08490817171653804',), 1333146035: ('0.08490817171653804',), 1333146019: ('0.08490817171653804',), 1333046662: ('0.08490817171653804',), 1333046661: ('0.08490817171653804',), 1333046656: ('0.08490817171653804',), 1333046653: ('0.08490817171653804',), 1333046650: ('0.08490817171653804',), 1333046644: ('0.08490817171653804',), 1333046559: ('0.08490817171653804',), 1333046555: ('0.08490817171653804',), 1333046552: ('0.08490817171653804',), 1333046546: ('0.08490817171653804',), 1333045510: ('0.08490817171653804',), 1333045503: ('0.08490817171653804',), 1333045498: ('0.08490817171653804',), 1333045490: ('0.08490817171653804',), 1333045482: ('0.08490817171653804',), 1333045420: ('0.08490817171653804',), 1333044470: ('0.08490817171653804',), 1333044449: ('0.08490817171653804',), 1333044428: ('0.08490817171653804',), 1333044409: ('0.08490817171653804',), 1333044404: ('0.08490817171653804',), 1333044381: ('0.08490817171653804',), 1333044372: ('0.08490817171653804',), 1333044363: ('0.08490817171653804',), 1333044352: ('0.08490817171653804',), 1333044348: ('0.08490817171653804',), 1333043896: ('0.08490817171653804',), 1333043879: ('0.08490817171653804',)} new output for save of step final : {1333148338: ('0.08490817171653804',), 1333148335: ('0.08490817171653804',), 1333148330: ('0.08490817171653804',), 1333147865: ('0.08490817171653804',), 1333147832: ('0.08490817171653804',), 1333147778: ('0.08490817171653804',), 1333147771: ('0.08490817171653804',), 1333147648: ('0.08490817171653804',), 1333147358: ('0.08490817171653804',), 1333147291: ('0.08490817171653804',), 1333146053: ('0.08490817171653804',), 1333146050: ('0.08490817171653804',), 1333146045: ('0.08490817171653804',), 1333146040: ('0.08490817171653804',), 1333146035: ('0.08490817171653804',), 1333146019: ('0.08490817171653804',), 1333046662: ('0.08490817171653804',), 1333046661: ('0.08490817171653804',), 1333046656: ('0.08490817171653804',), 1333046653: ('0.08490817171653804',), 1333046650: ('0.08490817171653804',), 1333046644: ('0.08490817171653804',), 1333046559: ('0.08490817171653804',), 1333046555: ('0.08490817171653804',), 1333046552: ('0.08490817171653804',), 1333046546: ('0.08490817171653804',), 1333045510: ('0.08490817171653804',), 1333045503: ('0.08490817171653804',), 1333045498: ('0.08490817171653804',), 1333045490: ('0.08490817171653804',), 1333045482: ('0.08490817171653804',), 1333045420: ('0.08490817171653804',), 1333044470: ('0.08490817171653804',), 1333044449: ('0.08490817171653804',), 1333044428: ('0.08490817171653804',), 1333044409: ('0.08490817171653804',), 1333044404: ('0.08490817171653804',), 1333044381: ('0.08490817171653804',), 1333044372: ('0.08490817171653804',), 1333044363: ('0.08490817171653804',), 1333044352: ('0.08490817171653804',), 1333044348: ('0.08490817171653804',), 1333043896: ('0.08490817171653804',), 1333043879: ('0.08490817171653804',)} [1333148338, 1333148335, 1333148330, 1333147865, 1333147832, 1333147778, 1333147771, 1333147648, 1333147358, 1333147291, 1333146053, 1333146050, 1333146045, 1333146040, 1333146035, 1333146019, 1333046662, 1333046661, 1333046656, 1333046653, 1333046650, 1333046644, 1333046559, 1333046555, 1333046552, 1333046546, 1333045510, 1333045503, 1333045498, 1333045490, 1333045482, 1333045420, 1333044470, 1333044449, 1333044428, 1333044409, 1333044404, 1333044381, 1333044372, 1333044363, 1333044352, 1333044348, 1333043896, 1333043879] Looping around the photos to save general results len do output : 44 /1333148338.Didn't retrieve data . /1333148335.Didn't retrieve data . /1333148330.Didn't retrieve data . /1333147865.Didn't retrieve data . /1333147832.Didn't retrieve data . /1333147778.Didn't retrieve data . /1333147771.Didn't retrieve data . /1333147648.Didn't retrieve data . /1333147358.Didn't retrieve data . /1333147291.Didn't retrieve data . /1333146053.Didn't retrieve data . /1333146050.Didn't retrieve data . /1333146045.Didn't retrieve data . /1333146040.Didn't retrieve data . /1333146035.Didn't retrieve data . /1333146019.Didn't retrieve data . /1333046662.Didn't retrieve data . /1333046661.Didn't retrieve data . /1333046656.Didn't retrieve data . /1333046653.Didn't retrieve data . /1333046650.Didn't retrieve data . /1333046644.Didn't retrieve data . /1333046559.Didn't retrieve data . /1333046555.Didn't retrieve data . /1333046552.Didn't retrieve data . /1333046546.Didn't retrieve data . /1333045510.Didn't retrieve data . /1333045503.Didn't retrieve data . /1333045498.Didn't retrieve data . /1333045490.Didn't retrieve data . /1333045482.Didn't retrieve data . /1333045420.Didn't retrieve data . /1333044470.Didn't retrieve data . /1333044449.Didn't retrieve data . /1333044428.Didn't retrieve data . /1333044409.Didn't retrieve data . /1333044404.Didn't retrieve data . /1333044381.Didn't retrieve data . /1333044372.Didn't retrieve data . /1333044363.Didn't retrieve data . /1333044352.Didn't retrieve data . /1333044348.Didn't retrieve data . /1333043896.Didn't retrieve data . /1333043879.Didn't retrieve data . before output type Used above Used above Managing all output in save final without adding information in the mtr_datou_result ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148338', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148335', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148330', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147865', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147832', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147778', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147771', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147648', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147358', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147291', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146053', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146050', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146045', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146040', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146035', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146019', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046662', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046661', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046656', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046653', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046650', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046644', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046559', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046555', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046552', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046546', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045510', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045503', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045498', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045490', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045482', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045420', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044470', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044449', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044428', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044409', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044404', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044381', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044372', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044363', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044352', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044348', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333043896', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333043879', None, None, None, None, None, '2565714') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 132 time used for this insertion : 0.01944136619567871 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.044059038162231445 time spend to save output : 0.02114391326904297 total time spend for step 5 : 0.06520295143127441 step6:blur_detection Fri Feb 7 18:03:34 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure inside step blur_detection toutes les photos sont déjà traitées, on saute les calculs Inside saveOutput : final : False verbose : 0 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 44 time used for this insertion : 0.01427316665649414 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 44 time used for this insertion : 0.011160612106323242 save missing photos in datou_result : time spend for datou_step_exec : 0.02343916893005371 time spend to save output : 0.03473615646362305 total time spend for step 6 : 0.05817532539367676 step7:brightness Fri Feb 7 18:03:34 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure inside step calcul brightness toutes les photos sont déjà traitées, on saute les calculs Inside saveOutput : final : False verbose : 0 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 44 time used for this insertion : 0.012925148010253906 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 44 time used for this insertion : 0.010497570037841797 save missing photos in datou_result : time spend for datou_step_exec : 0.0353240966796875 time spend to save output : 0.029424190521240234 total time spend for step 7 : 0.06474828720092773 step8:send_mail_cod Fri Feb 7 18:03:35 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 complete output_args for input 1 complete output_args for input 2 Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output complete output_args for input 3 We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure dans la step send mail cod work_area: /home/admin in order to get the selector url, please entre the license of selector results_COD_P20090341_07-02-2025_18_03_35.pdf 20090478 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette200904781738947815 20090479 change filename to text .change filename to text .imagette200904791738947816 20090481 change filename to text .change filename to text .change filename to text .change filename to text .imagette200904811738947816 20090482 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette200904821738947816 20090483 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette200904831738947818 20090487 change filename to text .change filename to text .change filename to text .change filename to text .imagette200904871738947820 20090488 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette200904881738947820 20090489 imagette200904891738947822 20090490 change filename to text .change filename to text .imagette200904901738947822 20090491 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette200904911738947822 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=20090341 and hashtag_type = 4211 and pcr.hashtag_id = h.hashtag_id; velour_link : https://www.fotonower.com/velours/20090476,20090477,20090478,20090479,20090480,20090481,20090482,20090483,20090484,20090485,20090486,20090487,20090488,20090489,20090490,20090491?tags=flou,environnement,pet_opaque,pet_fonce,mal_croppe,metal,papier,carton,barquette_opaque,etiquette,pehd,pet_clair,film_plastique,textiles_sanitaires,kraft,ela your option no_mail is active, we will not send the real mail to your client args[1333148338] : ((1333148338, -4.65555625357338, 492609224), (1333148338, -0.2646937152083378, 496442774), '0.08490817171653804') apple ((1333148338, -4.65555625357338, 492609224), (1333148338, -0.2646937152083378, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333148335] : ((1333148335, -4.870920707510108, 492609224), (1333148335, -0.025034467941237037, 2107752395), '0.08490817171653804') apple ((1333148335, -4.870920707510108, 492609224), (1333148335, -0.025034467941237037, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333148330] : ((1333148330, -4.966259000547195, 492609224), (1333148330, -0.20042894819129778, 496442774), '0.08490817171653804') apple ((1333148330, -4.966259000547195, 492609224), (1333148330, -0.20042894819129778, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333147865] : ((1333147865, -3.686651946772726, 492609224), (1333147865, 0.008569658843843172, 2107752395), '0.08490817171653804') apple ((1333147865, -3.686651946772726, 492609224), (1333147865, 0.008569658843843172, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333147832] : ((1333147832, -5.260907491587226, 492609224), (1333147832, -0.16767426917991074, 496442774), '0.08490817171653804') apple ((1333147832, -5.260907491587226, 492609224), (1333147832, -0.16767426917991074, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333147778] : ((1333147778, -4.272264413962628, 492609224), (1333147778, -0.10706585732704584, 496442774), '0.08490817171653804') apple ((1333147778, -4.272264413962628, 492609224), (1333147778, -0.10706585732704584, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333147771] : ((1333147771, -5.580720193858897, 492609224), (1333147771, -0.09205206881359837, 496442774), '0.08490817171653804') apple ((1333147771, -5.580720193858897, 492609224), (1333147771, -0.09205206881359837, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333147648] : ((1333147648, -5.113240695015948, 492609224), (1333147648, -0.1685308903965427, 496442774), '0.08490817171653804') apple ((1333147648, -5.113240695015948, 492609224), (1333147648, -0.1685308903965427, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333147358] : ((1333147358, -4.8746969610713435, 492609224), (1333147358, -0.12044644007222882, 496442774), '0.08490817171653804') apple ((1333147358, -4.8746969610713435, 492609224), (1333147358, -0.12044644007222882, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333147291] : ((1333147291, -5.007440900301648, 492609224), (1333147291, -0.09985341087577909, 496442774), '0.08490817171653804') apple ((1333147291, -5.007440900301648, 492609224), (1333147291, -0.09985341087577909, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333146053] : ((1333146053, -4.845153343051401, 492609224), (1333146053, -0.09225701428808428, 496442774), '0.08490817171653804') apple ((1333146053, -4.845153343051401, 492609224), (1333146053, -0.09225701428808428, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333146050] : ((1333146050, -5.081685976166208, 492609224), (1333146050, -0.12178539934397103, 496442774), '0.08490817171653804') apple ((1333146050, -5.081685976166208, 492609224), (1333146050, -0.12178539934397103, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333146045] : ((1333146045, -4.5957367530291835, 492609224), (1333146045, 0.01772397316113505, 2107752395), '0.08490817171653804') apple ((1333146045, -4.5957367530291835, 492609224), (1333146045, 0.01772397316113505, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333146040] : ((1333146040, -5.305520664838416, 492609224), (1333146040, -0.09119578896875283, 496442774), '0.08490817171653804') apple ((1333146040, -5.305520664838416, 492609224), (1333146040, -0.09119578896875283, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333146035] : ((1333146035, -4.271760122662973, 492609224), (1333146035, -0.21822170945259345, 496442774), '0.08490817171653804') apple ((1333146035, -4.271760122662973, 492609224), (1333146035, -0.21822170945259345, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333146019] : ((1333146019, -4.648987153954206, 492609224), (1333146019, -0.20837037269650957, 496442774), '0.08490817171653804') apple ((1333146019, -4.648987153954206, 492609224), (1333146019, -0.20837037269650957, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333046662] : ((1333046662, -4.980653734718865, 492609224), (1333046662, -0.07762019314747935, 496442774), '0.08490817171653804') apple ((1333046662, -4.980653734718865, 492609224), (1333046662, -0.07762019314747935, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333046661] : ((1333046661, -4.257532378730969, 492609224), (1333046661, -0.05011466045218981, 2107752395), '0.08490817171653804') apple ((1333046661, -4.257532378730969, 492609224), (1333046661, -0.05011466045218981, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333046656] : ((1333046656, -2.1105472138848858, 492609224), (1333046656, -0.04661646119288122, 2107752395), '0.08490817171653804') apple ((1333046656, -2.1105472138848858, 492609224), (1333046656, -0.04661646119288122, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333046653] : ((1333046653, -4.4535261485522755, 492609224), (1333046653, -0.02369099422629215, 2107752395), '0.08490817171653804') apple ((1333046653, -4.4535261485522755, 492609224), (1333046653, -0.02369099422629215, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333046650] : ((1333046650, -4.773581420241944, 492609224), (1333046650, -0.22797076398353525, 496442774), '0.08490817171653804') apple ((1333046650, -4.773581420241944, 492609224), (1333046650, -0.22797076398353525, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333046644] : ((1333046644, -4.436871210605118, 492609224), (1333046644, -0.012966860408940972, 2107752395), '0.08490817171653804') apple ((1333046644, -4.436871210605118, 492609224), (1333046644, -0.012966860408940972, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333046559] : ((1333046559, -2.5932360237616567, 492609224), (1333046559, -0.07420694202654655, 496442774), '0.08490817171653804') apple ((1333046559, -2.5932360237616567, 492609224), (1333046559, -0.07420694202654655, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333046555] : ((1333046555, -4.89527503848383, 492609224), (1333046555, -0.10376575896689617, 496442774), '0.08490817171653804') apple ((1333046555, -4.89527503848383, 492609224), (1333046555, -0.10376575896689617, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333046552] : ((1333046552, -4.6035537473089425, 492609224), (1333046552, 0.11371159902263711, 2107752395), '0.08490817171653804') apple ((1333046552, -4.6035537473089425, 492609224), (1333046552, 0.11371159902263711, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333046546] : ((1333046546, -5.17479992271632, 492609224), (1333046546, -0.044402069226790734, 2107752395), '0.08490817171653804') apple ((1333046546, -5.17479992271632, 492609224), (1333046546, -0.044402069226790734, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333045510] : ((1333045510, -4.676167167150833, 492609224), (1333045510, -0.07766218062889246, 496442774), '0.08490817171653804') apple ((1333045510, -4.676167167150833, 492609224), (1333045510, -0.07766218062889246, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333045503] : ((1333045503, -4.8111878506979, 492609224), (1333045503, 0.07415347922929749, 2107752395), '0.08490817171653804') apple ((1333045503, -4.8111878506979, 492609224), (1333045503, 0.07415347922929749, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333045498] : ((1333045498, -4.6792484883978664, 492609224), (1333045498, -0.08935333068479105, 496442774), '0.08490817171653804') apple ((1333045498, -4.6792484883978664, 492609224), (1333045498, -0.08935333068479105, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333045490] : ((1333045490, -4.69071198292008, 492609224), (1333045490, -0.08798464603037903, 496442774), '0.08490817171653804') apple ((1333045490, -4.69071198292008, 492609224), (1333045490, -0.08798464603037903, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333045482] : ((1333045482, -4.280065635509942, 492609224), (1333045482, -0.068529737572932, 2107752395), '0.08490817171653804') apple ((1333045482, -4.280065635509942, 492609224), (1333045482, -0.068529737572932, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333045420] : ((1333045420, -4.378866857421391, 492609224), (1333045420, -0.09109867485821566, 496442774), '0.08490817171653804') apple ((1333045420, -4.378866857421391, 492609224), (1333045420, -0.09109867485821566, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333044470] : ((1333044470, -4.794000715810704, 492609224), (1333044470, -0.328643937716715, 496442774), '0.08490817171653804') apple ((1333044470, -4.794000715810704, 492609224), (1333044470, -0.328643937716715, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333044449] : ((1333044449, -3.714390141331544, 492609224), (1333044449, -0.15864993548231138, 496442774), '0.08490817171653804') apple ((1333044449, -3.714390141331544, 492609224), (1333044449, -0.15864993548231138, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333044428] : ((1333044428, -5.0344769224076735, 492609224), (1333044428, 0.0791315715742417, 2107752395), '0.08490817171653804') apple ((1333044428, -5.0344769224076735, 492609224), (1333044428, 0.0791315715742417, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333044409] : ((1333044409, -5.448849860999742, 492609224), (1333044409, -0.038232722233823936, 2107752395), '0.08490817171653804') apple ((1333044409, -5.448849860999742, 492609224), (1333044409, -0.038232722233823936, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333044404] : ((1333044404, -5.034950021648784, 492609224), (1333044404, -0.07405298031517482, 496442774), '0.08490817171653804') apple ((1333044404, -5.034950021648784, 492609224), (1333044404, -0.07405298031517482, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333044381] : ((1333044381, -4.749001611516572, 492609224), (1333044381, 0.08265588396539159, 2107752395), '0.08490817171653804') apple ((1333044381, -4.749001611516572, 492609224), (1333044381, 0.08265588396539159, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333044372] : ((1333044372, -5.257565653871527, 492609224), (1333044372, -0.14576898537456587, 496442774), '0.08490817171653804') apple ((1333044372, -5.257565653871527, 492609224), (1333044372, -0.14576898537456587, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333044363] : ((1333044363, -5.335727630996362, 492609224), (1333044363, -0.20675925306025764, 496442774), '0.08490817171653804') apple ((1333044363, -5.335727630996362, 492609224), (1333044363, -0.20675925306025764, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333044352] : ((1333044352, -3.073704249291274, 492609224), (1333044352, -0.17942852749464486, 496442774), '0.08490817171653804') apple ((1333044352, -3.073704249291274, 492609224), (1333044352, -0.17942852749464486, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333044348] : ((1333044348, -2.963869145547846, 492609224), (1333044348, -0.006652206640835983, 2107752395), '0.08490817171653804') apple ((1333044348, -2.963869145547846, 492609224), (1333044348, -0.006652206640835983, 2107752395), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333043896] : ((1333043896, -7.007126647973529, 492609224), (1333043896, -0.2544389618664323, 496442774), '0.08490817171653804') apple ((1333043896, -7.007126647973529, 492609224), (1333043896, -0.2544389618664323, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com args[1333043879] : ((1333043879, -6.9787976684279345, 492609224), (1333043879, -0.22636605335339025, 496442774), '0.08490817171653804') apple ((1333043879, -6.9787976684279345, 492609224), (1333043879, -0.22636605335339025, 496442774), '0.08490817171653804') We are sending mail with results at kexin@fotonower.com refus_total : 0.08490817171653804 2022-04-13 10:29:59 0 SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20090341 AND mpp.hide_status=0 ORDER BY mpp.order LIMIT 0, 1000 SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (1333045420,1333147648,1333147291,1333146053,1333044404,1333044409,1333044428,1333146035,1333044470,1333045482,1333045490,1333045498,1333045503,1333046546,1333046656,1333046653,1333046644,1333147778,1333148330,1333043879) Found this number of photos: 20 begin to download photo : 1333045420 begin to download photo : 1333044409 begin to download photo : 1333045490 begin to download photo : 1333046653 download finish for photo 1333046653 begin to download photo : 1333046644 download finish for photo 1333045420 begin to download photo : 1333147648 download finish for photo 1333045490 begin to download photo : 1333045498 download finish for photo 1333044409 begin to download photo : 1333044428 download finish for photo 1333046644 begin to download photo : 1333147778 download finish for photo 1333147648 begin to download photo : 1333147291 download finish for photo 1333044428 begin to download photo : 1333146035 download finish for photo 1333045498 begin to download photo : 1333045503 download finish for photo 1333147778 begin to download photo : 1333148330 download finish for photo 1333147291 begin to download photo : 1333146053 download finish for photo 1333146035 begin to download photo : 1333044470 download finish for photo 1333045503 begin to download photo : 1333046546 download finish for photo 1333148330 begin to download photo : 1333043879 download finish for photo 1333146053 begin to download photo : 1333044404 download finish for photo 1333044470 begin to download photo : 1333045482 download finish for photo 1333046546 begin to download photo : 1333046656 download finish for photo 1333045482 download finish for photo 1333046656 download finish for photo 1333043879 download finish for photo 1333044404 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20090341_07-02-2025_18_03_35.pdf results_COD_P20090341_07-02-2025_18_03_35.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20090341_07-02-2025_18_03_35.pdf start insert file to database insert into MTRUser.mtr_files (mtd_id,mtr_portfolio_id,text,url,format,tags,file_size,value) values ('4910','20090341','results_COD_P20090341_07-02-2025_18_03_35.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20090341_07-02-2025_18_03_35.pdf','pdf','','1.2','0.08490817171653804') Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : send_mail_cod we use saveGeneral [1333148338, 1333148335, 1333148330, 1333147865, 1333147832, 1333147778, 1333147771, 1333147648, 1333147358, 1333147291, 1333146053, 1333146050, 1333146045, 1333146040, 1333146035, 1333146019, 1333046662, 1333046661, 1333046656, 1333046653, 1333046650, 1333046644, 1333046559, 1333046555, 1333046552, 1333046546, 1333045510, 1333045503, 1333045498, 1333045490, 1333045482, 1333045420, 1333044470, 1333044449, 1333044428, 1333044409, 1333044404, 1333044381, 1333044372, 1333044363, 1333044352, 1333044348, 1333043896, 1333043879] Looping around the photos to save general results len do output : 0 before output type Used above Managing all output in save final without adding information in the mtr_datou_result ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148338', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148335', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148330', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147865', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147832', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147778', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147771', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147648', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147358', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147291', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146053', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146050', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146045', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146040', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146035', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146019', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046662', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046661', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046656', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046653', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046650', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046644', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046559', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046555', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046552', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046546', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045510', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045503', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045498', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045490', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045482', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045420', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044470', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044449', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044428', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044409', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044404', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044381', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044372', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044363', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044352', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044348', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333043896', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333043879', None, None, None, None, None, '2565714') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 44 time used for this insertion : 0.1346571445465088 save_final save missing photos in datou_result : time spend for datou_step_exec : 12.70473051071167 time spend to save output : 0.13516974449157715 total time spend for step 8 : 12.839900255203247 step9:split_time_score Fri Feb 7 18:03:47 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! complete output_args for input 1 VR 22-3-18 : For now we do not clean correctly the datou structure begin split time score TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}] thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', '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': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('17', 44),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 30012025 20090341 Nombre de photos uploadées : 44 / 23040 (0%) 30012025 20090341 Nombre de photos taguées (types de déchets): 0 / 44 (0%) 30012025 20090341 Nombre de photos taguées (volume) : 0 / 44 (0%) elapsed_time : load_data_split_time_score 1.430511474609375e-06 elapsed_time : order_list_meta_photo_and_scores 4.0531158447265625e-06 ???????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.001966238021850586 elapsed_time : insert_dashboard_record_day_entry 0.02448582649230957 We will return after consolidate but for now we need the day, how to get it, for now depending on the previous heavy steps find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20090332_31-01-2025_02_46_26.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090332 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20090333_03-02-2025_20_39_11.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090333 order by id desc limit 1 Qualite : 0.2209483837902446 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108675_31-01-2025_12_13_23.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108675 order by id desc limit 1 # 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 ! 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 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 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20108675 AND mptpi.`type`=3594 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108676_01-02-2025_06_05_11.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108676 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20090336_31-01-2025_03_57_29.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090336 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20080741_30-01-2025_22_46_50.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20080741 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20080742_01-02-2025_15_05_55.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20080742 order by id desc limit 1 Qualite : 0.22264347633324977 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108678_01-02-2025_04_09_44.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108678 order by id desc limit 1 # 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 ! 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 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 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20108678 AND mptpi.`type`=3594 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108679_31-01-2025_12_28_06.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108679 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108680_04-02-2025_03_04_48.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108680 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108681_31-01-2025_14_16_03.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108681 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108682_31-01-2025_13_46_02.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108682 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108683_07-02-2025_17_22_58.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108683 order by id desc limit 1 Qualite : 0.18071553237903956 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108684_31-01-2025_11_06_56.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108684 order by id desc limit 1 # 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 ! 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 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 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20108684 AND mptpi.`type`=3594 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108685_03-02-2025_09_34_52.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108685 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108686_01-02-2025_09_52_13.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108686 order by id desc limit 1 Qualite : 0.22434036130527316 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108687_31-01-2025_13_28_20.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108687 order by id desc limit 1 # 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 ! 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 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 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20108687 AND mptpi.`type`=3594 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108688_31-01-2025_13_14_12.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108688 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108689_31-01-2025_12_53_02.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108689 order by id desc limit 1 Qualite : 0.21025388690829863 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108690_31-01-2025_12_09_20.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108690 order by id desc limit 1 # 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 ! 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 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 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20108690 AND mptpi.`type`=3594 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108691_31-01-2025_10_31_27.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108691 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108692_04-02-2025_03_07_26.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108692 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108693_07-02-2025_14_42_09.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108693 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108694_07-02-2025_15_02_59.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108694 order by id desc limit 1 Qualite : 0.1886418760212418 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108695_31-01-2025_10_41_05.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108695 order by id desc limit 1 # 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 ! 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 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 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20108695 AND mptpi.`type`=3594 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108696_04-02-2025_03_18_53.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108696 order by id desc limit 1 Qualite : 0.6528122283707282 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20090340_05-02-2025_17_26_45.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090340 order by id desc limit 1 # 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 ! 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 11617 copy_chis is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11618 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11615 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition ! WARNING : number of outputs for step 11615 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11622 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11616 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11619 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 11620 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 11621 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs ! Step 11623 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 : output 0 of step 11617 have datatype=11 whereas input 0 of step 11615 have datatype=2 WARNING : type of output 1 of step 11618 doesn't seem to be define in the database( WARNING : type of input 3 of step 11616 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11618 doesn't seem to be define in the database( WARNING : type of input 1 of step 11615 doesn't seem to be define in the database( WARNING : output 0 of step 11622 have datatype=10 whereas input 3 of step 11621 have datatype=6 WARNING : type of input 1 of step 11622 doesn't seem to be define in the database( WARNING : output 1 of step 11615 have datatype=7 whereas input 1 of step 11622 have datatype=None WARNING : type of output 1 of step 11622 doesn't seem to be define in the database( WARNING : type of input 4 of step 11616 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11617 doesn't seem to be define in the database( WARNING : type of input 1 of step 11618 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20090340 AND mptpi.`type`=4211 To do Qualite : 0.9269453647726135 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20090341_05-02-2025_17_13_48.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090341 order by id desc limit 1 # 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 ! 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 11617 copy_chis is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11618 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11615 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition ! WARNING : number of outputs for step 11615 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11622 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11616 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11619 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 11620 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 11621 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs ! Step 11623 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 : output 0 of step 11617 have datatype=11 whereas input 0 of step 11615 have datatype=2 WARNING : type of output 1 of step 11618 doesn't seem to be define in the database( WARNING : type of input 3 of step 11616 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11618 doesn't seem to be define in the database( WARNING : type of input 1 of step 11615 doesn't seem to be define in the database( WARNING : output 0 of step 11622 have datatype=10 whereas input 3 of step 11621 have datatype=6 WARNING : type of input 1 of step 11622 doesn't seem to be define in the database( WARNING : output 1 of step 11615 have datatype=7 whereas input 1 of step 11622 have datatype=None WARNING : type of output 1 of step 11622 doesn't seem to be define in the database( WARNING : type of input 4 of step 11616 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11617 doesn't seem to be define in the database( WARNING : type of input 1 of step 11618 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20090341 AND mptpi.`type`=4211 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20090342_31-01-2025_03_19_52.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090342 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20090343_31-01-2025_01_51_27.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090343 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20090344_31-01-2025_01_41_21.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090344 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108697_31-01-2025_10_42_46.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108697 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20090345_03-02-2025_20_46_23.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090345 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20090346_03-02-2025_20_52_38.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090346 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20090347_31-01-2025_01_51_26.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090347 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20090348_31-01-2025_02_04_50.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090348 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20090349_31-01-2025_01_53_50.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20090349 order by id desc limit 1 Qualite : 0.23162819473328053 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20108698_31-01-2025_11_42_14.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20108698 order by id desc limit 1 # 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 ! 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 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 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20108698 AND mptpi.`type`=3594 To do NUMBER BATCH : 0 # DISPLAY ALL COLLECTED DATA : {'30012025': {'nb_upload': 44, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1333148338, 1333148335, 1333148330, 1333147865, 1333147832, 1333147778, 1333147771, 1333147648, 1333147358, 1333147291, 1333146053, 1333146050, 1333146045, 1333146040, 1333146035, 1333146019, 1333046662, 1333046661, 1333046656, 1333046653, 1333046650, 1333046644, 1333046559, 1333046555, 1333046552, 1333046546, 1333045510, 1333045503, 1333045498, 1333045490, 1333045482, 1333045420, 1333044470, 1333044449, 1333044428, 1333044409, 1333044404, 1333044381, 1333044372, 1333044363, 1333044352, 1333044348, 1333043896, 1333043879] Looping around the photos to save general results len do output : 1 /20090341Didn'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 ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148338', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148335', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333148330', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147865', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147832', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147778', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147771', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147648', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147358', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333147291', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146053', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146050', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146045', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146040', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146035', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333146019', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046662', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046661', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046656', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046653', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046650', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046644', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046559', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046555', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046552', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333046546', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045510', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045503', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045498', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045490', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045482', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333045420', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044470', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044449', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044428', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044409', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044404', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044381', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044372', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044363', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044352', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333044348', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333043896', None, None, None, None, None, '2565714') ('4910', None, None, None, None, None, None, None, '2565714') ('4910', '20090341', '1333043879', None, None, None, None, None, '2565714') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 45 time used for this insertion : 0.026433944702148438 save_final save missing photos in datou_result : time spend for datou_step_exec : 11.680283546447754 time spend to save output : 0.027184009552001953 total time spend for step 9 : 11.707467555999756 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 44 set_done_treatment 7.61user 2.45system 0:53.46elapsed 18%CPU (0avgtext+0avgdata 164616maxresident)k 20576inputs+172288outputs (30major+124243minor)pagefaults 0swaps