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 4742 -P 27518026' -s traitement_sts -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 : 2360222 load datou : 4742 # 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 13169 copy_chis is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13170 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13167 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition ! WARNING : number of outputs for step 13167 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13174 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13168 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 13171 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13172 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13173 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs ! Step 13175 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 13169 have datatype=11 whereas input 0 of step 13167 have datatype=2 WARNING : type of output 1 of step 13170 doesn't seem to be define in the database( WARNING : type of input 3 of step 13168 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 13170 doesn't seem to be define in the database( WARNING : type of input 1 of step 13167 doesn't seem to be define in the database( WARNING : output 0 of step 13174 have datatype=10 whereas input 3 of step 13173 have datatype=6 WARNING : type of input 1 of step 13174 doesn't seem to be define in the database( WARNING : output 1 of step 13167 have datatype=7 whereas input 1 of step 13174 have datatype=None WARNING : type of output 1 of step 13174 doesn't seem to be define in the database( WARNING : type of input 4 of step 13168 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13169 doesn't seem to be define in the database( WARNING : type of input 1 of step 13170 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 : 4742, datou_cur_ids : ['4146959'] with mtr_portfolio_ids : ['27518026'] and first list_photo_ids : [] new path : /proc/2360222/ 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 13169 copy_chis is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13170 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13167 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition ! WARNING : number of outputs for step 13167 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13174 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13168 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 13171 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13172 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13173 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs ! Step 13175 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 13169 have datatype=11 whereas input 0 of step 13167 have datatype=2 WARNING : type of output 1 of step 13170 doesn't seem to be define in the database( WARNING : type of input 3 of step 13168 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 13170 doesn't seem to be define in the database( WARNING : type of input 1 of step 13167 doesn't seem to be define in the database( WARNING : output 0 of step 13174 have datatype=10 whereas input 3 of step 13173 have datatype=6 WARNING : type of input 1 of step 13174 doesn't seem to be define in the database( WARNING : output 1 of step 13167 have datatype=7 whereas input 1 of step 13174 have datatype=None WARNING : type of output 1 of step 13174 doesn't seem to be define in the database( WARNING : type of input 4 of step 13168 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13169 doesn't seem to be define in the database( WARNING : type of input 1 of step 13170 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 , BFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 9 ; length of list_pids : 9 ; length of list_args : 9 time to download the photos : 3.1643800735473633 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 Mon Dec 1 14:37:31 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 145 chid ids of type : 4855 batch 1 Loaded 551 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 118 chid ids of type : 4857 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 [1387726688, 1387726684, 1387726682, 1387726637, 1387726636, 1387726635, 1387726634, 1387726633, 1387726632] Looping around the photos to save general results len do output : 9 /1387726688Didn't retrieve data . /1387726684Didn't retrieve data . /1387726682Didn't retrieve data . /1387726637Didn't retrieve data . /1387726636Didn't retrieve data . /1387726635Didn't retrieve data . /1387726634Didn't retrieve data . /1387726633Didn't retrieve data . /1387726632Didn'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 ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726688', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726684', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726682', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726637', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726636', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726635', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726634', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726633', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726632', None, None, None, None, None, '4146959') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 18 time used for this insertion : 0.017813444137573242 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.16692328453063965 time spend to save output : 0.018247604370117188 total time spend for step 1 : 0.18517088890075684 step2:consolidate_hashtags_from_manual_portfolio Mon Dec 1 14:37:31 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 : 27518026 on est dans le IF portfolio mere 26T 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`=27518026 AND mptpi.`type`=4856 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','flux_dev','film_dev_souple','ela','sac_om_plein','textiles','verre','organique','dasri','masque','encombrant','autre_non_emballage','environnement','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`=27518026 AND mptpi.`type`=4857 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','flux_dev','film_dev_souple','ela','sac_om_plein','textiles','verre','organique','dasri','masque','encombrant','autre_non_emballage','environnement','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`=9745827 AND mptpi.`type`=4856 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','flux_dev','film_dev_souple','ela','sac_om_plein','textiles','verre','organique','dasri','masque','encombrant','autre_non_emballage','environnement','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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526410 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 597 chid ids of type : 4855 begin to find the sub_photo_id : begin to find the 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526411 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 738 chid ids of type : 4855 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526412 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 288 chid ids of type : 4855 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526413 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 672 chid ids of type : 4855 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526414 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 412 chid ids of type : 4855 begin to find the 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526419 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 267 chid ids of type : 4855 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526421 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 115 chid ids of type : 4855 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526422 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526423 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526424 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526425 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526426 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526428 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526429 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 758 chid ids of type : 4855 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526431 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 738 chid ids of type : 4855 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526432 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 758 chid ids of type : 4855 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526433 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 734 chid ids of type : 4855 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526434 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 672 chid ids of type : 4855 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27526435 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 672 chid ids of type : 4855 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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 [1387726688, 1387726684, 1387726682, 1387726637, 1387726636, 1387726635, 1387726634, 1387726633, 1387726632] 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 : 9 time used for this insertion : 0.01896500587463379 save_final save missing photos in datou_result : time spend for datou_step_exec : 8.345262050628662 time spend to save output : 0.01918339729309082 total time spend for step 2 : 8.364445447921753 step3:rle_unique_nms_with_priority Mon Dec 1 14:37:39 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 VR 22-3-18 : For now we do not clean correctly the datou structure Begin step rle-unique-nms batch 1 Loaded 488 chid ids of type : 4857 seulement à utiliser dans la step consolidation batch 1 Loaded 101 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.042847394943237305 seulement à utiliser dans la step consolidation batch 1 Loaded 136 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0629889965057373 seulement à utiliser dans la step consolidation batch 1 Loaded 103 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.04264092445373535 seulement à utiliser dans la step consolidation batch 1 Loaded 70 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.04024100303649902 seulement à utiliser dans la step consolidation batch 1 Loaded 23 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03342413902282715 seulement à utiliser dans la step consolidation batch 1 Loaded 36 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0353543758392334 seulement à utiliser dans la step consolidation batch 1 Loaded 82 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.039095401763916016 seulement à utiliser dans la step consolidation batch 1 Loaded 97 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.042462825775146484 seulement à utiliser dans la step consolidation batch 1 Loaded 21 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03212547302246094 map_output_result : {1387726688: (0.06413464955501583, 'Should be the crop_list due to order', 0.05162709179860929), 1387726684: (0.06413464955501583, 'Should be the crop_list due to order', 0.0132951233791551), 1387726682: (0.06413464955501583, 'Should be the crop_list due to order', 0.12376091857146525), 1387726637: (0.06413464955501583, 'Should be the crop_list due to order', 0.07059918326464272), 1387726636: (0.06413464955501583, 'Should be the crop_list due to order', 0), 1387726635: (0.06413464955501583, 'Should be the crop_list due to order', 0.0), 1387726634: (0.06413464955501583, 'Should be the crop_list due to order', 0.05574569327835403), 1387726633: (0.06413464955501583, 'Should be the crop_list due to order', 0.26218383570291603), 1387726632: (0.06413464955501583, '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 [1387726688, 1387726684, 1387726682, 1387726637, 1387726636, 1387726635, 1387726634, 1387726633, 1387726632] Looping around the photos to save general results len do output : 9 /1387726688.Didn't retrieve data . /1387726684.Didn't retrieve data . /1387726682.Didn't retrieve data . /1387726637.Didn't retrieve data . /1387726636.Didn't retrieve data . /1387726635.Didn't retrieve data . /1387726634.Didn't retrieve data . /1387726633.Didn't retrieve data . /1387726632.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 ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726688', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726684', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726682', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726637', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726636', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726635', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726634', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726633', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726632', None, None, None, None, None, '4146959') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 27 time used for this insertion : 0.017383813858032227 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.1700799465179443 time spend to save output : 0.017982959747314453 total time spend for step 3 : 2.188062906265259 step4:ventilate_hashtags_in_portfolio Mon Dec 1 14:37:41 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 : 27518026 get user id for portfolio 27518026 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`=27518026 AND mptpi.`type`=4857 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','flux_dev','film_dev_souple','ela','sac_om_plein','textiles','verre','organique','dasri','masque','encombrant','autre_non_emballage','environnement','mal_croppe','flou','pet_fonce','pet_opaque','barquette_opaque','film_plastique','autre_emballage','sac')) AND mptpi.`min_score`=0.1 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`=27518026 AND mptpi.`type`=4856 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','flux_dev','film_dev_souple','ela','sac_om_plein','textiles','verre','organique','dasri','masque','encombrant','autre_non_emballage','environnement','mal_croppe','flou','pet_fonce','pet_opaque','barquette_opaque','film_plastique','autre_emballage','sac')) AND mptpi.`min_score`=0.1 To do lien utilise dans velours : https://marlene.fotonower.com/velours/27526410,27526411,27526412,27526413,27526414,27526419,27526421,27526422,27526423,27526424,27526425,27526426,27526428,27526429,27526431,27526432,27526433,27526434,27526435?tags=papier,carton,metal,pet_clair,pehd,ela,textiles,verre,organique,dasri,masque,encombrant,autre_non_emballage,environnement,flux_dev,mal_croppe,flou,film_dev_souple,sac_om_plein&datou_id_consolidate=4742&port_consolidate=27518026 Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1387726688, 1387726684, 1387726682, 1387726637, 1387726636, 1387726635, 1387726634, 1387726633, 1387726632] Looping around the photos to save general results len do output : 1 /27518026. 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 ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726688', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726684', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726682', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726637', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726636', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726635', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726634', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726633', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726632', None, None, None, None, None, '4146959') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 10 time used for this insertion : 0.01873922348022461 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.711822509765625 time spend to save output : 0.019001245498657227 total time spend for step 4 : 0.7308237552642822 step5:final Mon Dec 1 14:37:42 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 : {1387726688: ('0.21605308263426423',), 1387726684: ('0.21605308263426423',), 1387726682: ('0.21605308263426423',), 1387726637: ('0.21605308263426423',), 1387726636: ('0.21605308263426423',), 1387726635: ('0.21605308263426423',), 1387726634: ('0.21605308263426423',), 1387726633: ('0.21605308263426423',), 1387726632: ('0.21605308263426423',)} new output for save of step final : {1387726688: ('0.21605308263426423',), 1387726684: ('0.21605308263426423',), 1387726682: ('0.21605308263426423',), 1387726637: ('0.21605308263426423',), 1387726636: ('0.21605308263426423',), 1387726635: ('0.21605308263426423',), 1387726634: ('0.21605308263426423',), 1387726633: ('0.21605308263426423',), 1387726632: ('0.21605308263426423',)} [1387726688, 1387726684, 1387726682, 1387726637, 1387726636, 1387726635, 1387726634, 1387726633, 1387726632] Looping around the photos to save general results len do output : 9 /1387726688.Didn't retrieve data . /1387726684.Didn't retrieve data . /1387726682.Didn't retrieve data . /1387726637.Didn't retrieve data . /1387726636.Didn't retrieve data . /1387726635.Didn't retrieve data . /1387726634.Didn't retrieve data . /1387726633.Didn't retrieve data . /1387726632.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 ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726688', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726684', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726682', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726637', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726636', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726635', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726634', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726633', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726632', None, None, None, None, None, '4146959') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 27 time used for this insertion : 0.016287803649902344 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.06320381164550781 time spend to save output : 0.01679706573486328 total time spend for step 5 : 0.0800008773803711 step6:blur_detection Mon Dec 1 14:37:42 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 : 9 time used for this insertion : 0.009838104248046875 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 9 time used for this insertion : 0.009914159774780273 save missing photos in datou_result : time spend for datou_step_exec : 0.026285171508789062 time spend to save output : 0.024548768997192383 total time spend for step 6 : 0.050833940505981445 step7:brightness Mon Dec 1 14:37:42 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 : 9 time used for this insertion : 0.010813713073730469 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 9 time used for this insertion : 0.009912490844726562 save missing photos in datou_result : time spend for datou_step_exec : 0.031577110290527344 time spend to save output : 0.02649402618408203 total time spend for step 7 : 0.058071136474609375 step8:send_mail_cod Mon Dec 1 14:37:42 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_P27518026_01-12-2025_14_37_42.pdf 27584294 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 .imagette275842941764596262 27584295 change filename to text .imagette275842951764596266 27584296 imagette275842961764596266 27584297 imagette275842971764596266 27584298 imagette275842981764596266 27584299 imagette275842991764596266 27584300 imagette275843001764596266 27584301 imagette275843011764596266 27584310 imagette275843101764596266 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=27518026 and hashtag_type = 4857 and pcr.hashtag_id = h.hashtag_id; velour_link : https://marlene.fotonower.com/velours/27526410,27526411,27526412,27526413,27526414,27526419,27526421,27526422,27526423,27526424,27526425,27526426,27526428,27526429,27526431,27526432,27526433,27526434,27526435?tags=papier,carton,metal,pet_clair,pehd,ela,textiles,verre,organique,dasri,masque,encombrant,autre_non_emballage,environnement,flux_dev,mal_croppe,flou,film_dev_souple,sac_om_plein&datou_id_consolidate=4742&port_consolidate=27518026 args[1387726688] : ((1387726688, 1934.2627072509738, 2107751945), (1387726688, -0.2622564889053129, 496442774), '0.21605308263426423') We are sending mail with results at kexin@fotonower.com args[1387726684] : ((1387726684, 2137.038290835122, 492609224), (1387726684, -0.416455168975419, 496442774), '0.21605308263426423') We are sending mail with results at kexin@fotonower.com args[1387726682] : ((1387726682, 2842.120998304146, 492609224), (1387726682, -0.06715243610312713, 2107752395), '0.21605308263426423') We are sending mail with results at kexin@fotonower.com args[1387726637] : ((1387726637, 1008.7128062347855, 2107751945), (1387726637, -0.22596999451209374, 496442774), '0.21605308263426423') We are sending mail with results at kexin@fotonower.com args[1387726636] : ((1387726636, 246.40804616915506, 492688767), (1387726636, 0.09702813806179988, 2107752395), '0.21605308263426423') We are sending mail with results at kexin@fotonower.com args[1387726635] : ((1387726635, 186.04973660304364, 492688767), (1387726635, -0.08856219011966171, 496442774), '0.21605308263426423') We are sending mail with results at kexin@fotonower.com args[1387726634] : ((1387726634, 823.0575085692591, 2107751945), (1387726634, -0.37842508793653035, 496442774), '0.21605308263426423') We are sending mail with results at kexin@fotonower.com args[1387726633] : ((1387726633, 1216.528578544958, 2107751945), (1387726633, -0.22898382440243947, 496442774), '0.21605308263426423') We are sending mail with results at kexin@fotonower.com args[1387726632] : ((1387726632, 256.1682185902399, 492688767), (1387726632, -0.09636574722150686, 496442774), '0.21605308263426423') We are sending mail with results at kexin@fotonower.com refus_total : 0.21605308263426423 2022-04-13 10:29:59 0 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P27518026_01-12-2025_14_37_42.pdf results_COD_P27518026_01-12-2025_14_37_42.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P27518026_01-12-2025_14_37_42.pdf start insert file to database insert into MTRUser.mtr_files (mtd_id,mtr_portfolio_id,text,url,format,tags,file_size,value) values ('4742','27518026','results_COD_P27518026_01-12-2025_14_37_42.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P27518026_01-12-2025_14_37_42.pdf','pdf','','0.67','0.21605308263426423') message_in_mail: Bonjour,
Veuillez trouver ci dessous les résultats du service carac on demand pour le portfolio: https://www.fotonower.com/view/27518026

https://www.fotonower.com/image?json=false&list_photos_id=1387726688
La photo est trop floue, merci de reprendre une photo.(avec le score = 1934.2627072509738)
https://www.fotonower.com/image?json=false&list_photos_id=1387726684
La photo est trop floue, merci de reprendre une photo.(avec le score = 2137.038290835122)
https://www.fotonower.com/image?json=false&list_photos_id=1387726682
La photo est trop floue, merci de reprendre une photo.(avec le score = 2842.120998304146)
https://www.fotonower.com/image?json=false&list_photos_id=1387726637
La photo est trop floue, merci de reprendre une photo.(avec le score = 1008.7128062347855)
https://www.fotonower.com/image?json=false&list_photos_id=1387726636
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1387726635
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1387726634
La photo est trop floue, merci de reprendre une photo.(avec le score = 823.0575085692591)
https://www.fotonower.com/image?json=false&list_photos_id=1387726633
La photo est trop floue, merci de reprendre une photo.(avec le score = 1216.528578544958)
https://www.fotonower.com/image?json=false&list_photos_id=1387726632
Bravo, la photo est bien prise.

Dans ces conditions,le taux de refus est: 21.61%
Veuillez trouver les photos des contaminants.

exemples de contaminants: sac_om_plein: https://www.fotonower.com/view/27584294?limit=200
exemples de contaminants: textiles: https://www.fotonower.com/view/27584295?limit=200
Veuillez trouver le rapport en pdf:https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P27518026_01-12-2025_14_37_42.pdf.

Lien vers velours :https://marlene.fotonower.com/velours/27526410,27526411,27526412,27526413,27526414,27526419,27526421,27526422,27526423,27526424,27526425,27526426,27526428,27526429,27526431,27526432,27526433,27526434,27526435?tags=papier,carton,metal,pet_clair,pehd,ela,textiles,verre,organique,dasri,masque,encombrant,autre_non_emballage,environnement,flux_dev,mal_croppe,flou,film_dev_souple,sac_om_plein&datou_id_consolidate=4742&port_consolidate=27518026.


L'équipe Fotonower Mail sent: {'message_id': '<202512011337.11517764558@smtp-relay.mailin.fr>', 'message_ids': None} Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : send_mail_cod we use saveGeneral [1387726688, 1387726684, 1387726682, 1387726637, 1387726636, 1387726635, 1387726634, 1387726633, 1387726632] 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 ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726688', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726684', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726682', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726637', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726636', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726635', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726634', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726633', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726632', None, None, None, None, None, '4146959') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 9 time used for this insertion : 0.018477916717529297 save_final save missing photos in datou_result : time spend for datou_step_exec : 6.591898441314697 time spend to save output : 0.019008874893188477 total time spend for step 8 : 6.610907316207886 step9:split_time_score Mon Dec 1 14:37:49 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'}] (('25', 1), ('27', 7), ('28', 1)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 04102025 27518026 Nombre de photos uploadées : 9 / 23040 (0%) 04102025 27518026 Nombre de photos taguées (types de déchets): 0 / 9 (0%) 04102025 27518026 Nombre de photos taguées (volume) : 0 / 9 (0%) elapsed_time : load_data_split_time_score 2.1457672119140625e-06 elapsed_time : order_list_meta_photo_and_scores 5.7220458984375e-06 ????????? elapsed_time : fill_and_build_computed_from_old_data 0.0004987716674804688 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.2621486186981201 We will return after consolidate but for now we need the day, how to get it, for now depending on the previous heavy steps Qualite : 0.21605308263426423 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P27518026_01-12-2025_14_37_42.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 27518026 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 13169 copy_chis is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13170 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13167 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition ! WARNING : number of outputs for step 13167 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13174 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13168 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 13171 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13172 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13173 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs ! Step 13175 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 13169 have datatype=11 whereas input 0 of step 13167 have datatype=2 WARNING : type of output 1 of step 13170 doesn't seem to be define in the database( WARNING : type of input 3 of step 13168 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 13170 doesn't seem to be define in the database( WARNING : type of input 1 of step 13167 doesn't seem to be define in the database( WARNING : output 0 of step 13174 have datatype=10 whereas input 3 of step 13173 have datatype=6 WARNING : type of input 1 of step 13174 doesn't seem to be define in the database( WARNING : output 1 of step 13167 have datatype=7 whereas input 1 of step 13174 have datatype=None WARNING : type of output 1 of step 13174 doesn't seem to be define in the database( WARNING : type of input 4 of step 13168 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13169 doesn't seem to be define in the database( WARNING : type of input 1 of step 13170 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`=27518026 AND mptpi.`type`=4857 To do Qualite : 0.09478626735899767 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P27518027_08-10-2025_10_31_20.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 27518027 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 13169 copy_chis is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13170 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13167 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition ! WARNING : number of outputs for step 13167 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13174 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13168 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 13171 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13172 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13173 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs ! Step 13175 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 13169 have datatype=11 whereas input 0 of step 13167 have datatype=2 WARNING : type of output 1 of step 13170 doesn't seem to be define in the database( WARNING : type of input 3 of step 13168 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 13170 doesn't seem to be define in the database( WARNING : type of input 1 of step 13167 doesn't seem to be define in the database( WARNING : output 0 of step 13174 have datatype=10 whereas input 3 of step 13173 have datatype=6 WARNING : type of input 1 of step 13174 doesn't seem to be define in the database( WARNING : output 1 of step 13167 have datatype=7 whereas input 1 of step 13174 have datatype=None WARNING : type of output 1 of step 13174 doesn't seem to be define in the database( WARNING : type of input 4 of step 13168 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13169 doesn't seem to be define in the database( WARNING : type of input 1 of step 13170 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`=27518027 AND mptpi.`type`=4857 To do Qualite : 0.16709333714358807 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P27518028_07-10-2025_22_01_08.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 27518028 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 13169 copy_chis is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13170 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13167 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition ! WARNING : number of outputs for step 13167 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13174 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13168 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 13171 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13172 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13173 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs ! Step 13175 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 13169 have datatype=11 whereas input 0 of step 13167 have datatype=2 WARNING : type of output 1 of step 13170 doesn't seem to be define in the database( WARNING : type of input 3 of step 13168 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 13170 doesn't seem to be define in the database( WARNING : type of input 1 of step 13167 doesn't seem to be define in the database( WARNING : output 0 of step 13174 have datatype=10 whereas input 3 of step 13173 have datatype=6 WARNING : type of input 1 of step 13174 doesn't seem to be define in the database( WARNING : output 1 of step 13167 have datatype=7 whereas input 1 of step 13174 have datatype=None WARNING : type of output 1 of step 13174 doesn't seem to be define in the database( WARNING : type of input 4 of step 13168 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13169 doesn't seem to be define in the database( WARNING : type of input 1 of step 13170 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`=27518028 AND mptpi.`type`=4857 To do NUMBER BATCH : 0 # DISPLAY ALL COLLECTED DATA : {'04102025': {'nb_upload': 9, '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 [1387726688, 1387726684, 1387726682, 1387726637, 1387726636, 1387726635, 1387726634, 1387726633, 1387726632] Looping around the photos to save general results len do output : 1 /27518026Didn'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 ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726688', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726684', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726682', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726637', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726636', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726635', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726634', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726633', None, None, None, None, None, '4146959') ('4742', None, None, None, None, None, None, None, '4146959') ('4742', '27518026', '1387726632', None, None, None, None, None, '4146959') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 10 time used for this insertion : 0.017608165740966797 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.6757481098175049 time spend to save output : 0.017859697341918945 total time spend for step 9 : 0.6936078071594238 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 9 set_done_treatment 4.72user 2.37system 0:25.85elapsed 27%CPU (0avgtext+0avgdata 194380maxresident)k 6776inputs+90016outputs (19major+134869minor)pagefaults 0swaps