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 ' -s traitement_4742 -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 : 608381 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 TODO datou_current to load to do maybe to take outside batchDatouExec updating current state to 1 list_input_json: [] Current got : datou_id : 4742, datou_cur_ids : ['2812248'] with mtr_portfolio_ids : ['22731300'] and first list_photo_ids : [] new path : /proc/608381/ 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 , BFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 7 ; length of list_pids : 7 ; length of list_args : 7 time to download the photos : 1.910179853439331 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 May 9 14:31:44 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 77 chid ids of type : 4855 batch 1 Loaded 77 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 [1356361583, 1356361548, 1356361543, 1356361537, 1356361530, 1356361523, 1356361517] Looping around the photos to save general results len do output : 7 /1356361583Didn't retrieve data . /1356361548Didn't retrieve data . /1356361543Didn't retrieve data . /1356361537Didn't retrieve data . /1356361530Didn't retrieve data . /1356361523Didn't retrieve data . /1356361517Didn'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, '2812248') ('4742', '22731300', '1356361583', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361548', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361543', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361537', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361530', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361523', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361517', None, None, None, None, None, '2812248') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 14 time used for this insertion : 0.016240596771240234 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.10594964027404785 time spend to save output : 0.016727209091186523 total time spend for step 1 : 0.12267684936523438 step2:consolidate_hashtags_from_manual_portfolio Fri May 9 14:31:44 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 : 22731300 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`=22731300 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`=22731300 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 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`=22731300 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 ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=22738510 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 329 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 : batch 1 Loaded 75 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! 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=22738511 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 299 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 : batch 1 Loaded 101 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! 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=22738512 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 81 chid ids of type : 4855 begin to find the sub_photo_id : batch 1 Loaded 27 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! 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=22738513 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 299 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 : batch 1 Loaded 108 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! 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=22738514 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 215 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 : batch 1 Loaded 82 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! 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=22738519 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=22738521 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=22738522 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=22738524 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=22738530 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=22738535 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=22738538 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=22738540 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 113 chid ids of type : 4855 begin to find the sub_photo_id : begin to find the sub_photo_id : batch 1 Loaded 41 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! 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=22738541 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 357 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 : batch 1 Loaded 154 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! 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=22738543 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 215 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 : batch 1 Loaded 94 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! 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=22738544 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 339 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 : batch 1 Loaded 220 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! 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=22738545 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 329 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 : batch 1 Loaded 234 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! 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=22738546 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 299 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 : batch 1 Loaded 220 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! 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=22738548 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 299 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 : batch 1 Loaded 248 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! 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 [1356361583, 1356361548, 1356361543, 1356361537, 1356361530, 1356361523, 1356361517] 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 : 7 time used for this insertion : 0.012896299362182617 save_final save missing photos in datou_result : time spend for datou_step_exec : 4.165444850921631 time spend to save output : 0.013038873672485352 total time spend for step 2 : 4.178483724594116 step3:rle_unique_nms_with_priority Fri May 9 14:31:49 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 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 VR 22-3-18 : For now we do not clean correctly the datou structure Begin step rle-unique-nms batch 1 Loaded 199 chid ids of type : 4857 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 : 0.03004932403564453 seulement à utiliser dans la step consolidation batch 1 Loaded 68 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03154945373535156 seulement à utiliser dans la step consolidation batch 1 Loaded 69 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03302907943725586 seulement à utiliser dans la step consolidation batch 1 Loaded 64 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.036452531814575195 seulement à utiliser dans la step consolidation batch 1 Loaded 47 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03958272933959961 seulement à utiliser dans la step consolidation batch 1 Loaded 9 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03417539596557617 seulement à utiliser dans la step consolidation batch 1 Loaded 15 chid ids of type : 4857 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.027841806411743164 map_output_result : {1356361583: (0.2719564425906364, 'Should be the crop_list due to order', 1.0), 1356361548: (0.2719564425906364, 'Should be the crop_list due to order', 0.36530221423036763), 1356361543: (0.2719564425906364, 'Should be the crop_list due to order', 0.26904278575586854), 1356361537: (0.2719564425906364, 'Should be the crop_list due to order', 0.11346972377269955), 1356361530: (0.2719564425906364, 'Should be the crop_list due to order', 0.15588037437551897), 1356361523: (0.2719564425906364, 'Should be the crop_list due to order', 0.0), 1356361517: (0.2719564425906364, '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 [1356361583, 1356361548, 1356361543, 1356361537, 1356361530, 1356361523, 1356361517] Looping around the photos to save general results len do output : 7 /1356361583.Didn't retrieve data . /1356361548.Didn't retrieve data . /1356361543.Didn't retrieve data . /1356361537.Didn't retrieve data . /1356361530.Didn't retrieve data . /1356361523.Didn't retrieve data . /1356361517.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, '2812248') ('4742', '22731300', '1356361583', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361548', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361543', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361537', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361530', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361523', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361517', None, None, None, None, None, '2812248') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 21 time used for this insertion : 0.015394449234008789 save_final save missing photos in datou_result : time spend for datou_step_exec : 3.0250775814056396 time spend to save output : 0.015764951705932617 total time spend for step 3 : 3.0408425331115723 step4:ventilate_hashtags_in_portfolio Fri May 9 14:31:52 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 : 22731300 get user id for portfolio 22731300 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`=22731300 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 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`=22731300 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`=22731300 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://www.fotonower.com/velours/22738510,22738511,22738512,22738513,22738514,22738519,22738521,22738522,22738524,22738530,22738535,22738538,22738540,22738541,22738543,22738544,22738545,22738546,22738548?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=22731300 Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1356361583, 1356361548, 1356361543, 1356361537, 1356361530, 1356361523, 1356361517] Looping around the photos to save general results len do output : 1 /22731300. 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, '2812248') ('4742', '22731300', '1356361583', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361548', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361543', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361537', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361530', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361523', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361517', None, None, None, None, None, '2812248') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 8 time used for this insertion : 0.02363872528076172 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.1899161338806152 time spend to save output : 0.023845195770263672 total time spend for step 4 : 1.213761329650879 step5:final Fri May 9 14:31:53 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 : {1356361583: ('0.5180177153219047',), 1356361548: ('0.5180177153219047',), 1356361543: ('0.5180177153219047',), 1356361537: ('0.5180177153219047',), 1356361530: ('0.5180177153219047',), 1356361523: ('0.5180177153219047',), 1356361517: ('0.5180177153219047',)} new output for save of step final : {1356361583: ('0.5180177153219047',), 1356361548: ('0.5180177153219047',), 1356361543: ('0.5180177153219047',), 1356361537: ('0.5180177153219047',), 1356361530: ('0.5180177153219047',), 1356361523: ('0.5180177153219047',), 1356361517: ('0.5180177153219047',)} [1356361583, 1356361548, 1356361543, 1356361537, 1356361530, 1356361523, 1356361517] Looping around the photos to save general results len do output : 7 /1356361583.Didn't retrieve data . /1356361548.Didn't retrieve data . /1356361543.Didn't retrieve data . /1356361537.Didn't retrieve data . /1356361530.Didn't retrieve data . /1356361523.Didn't retrieve data . /1356361517.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, '2812248') ('4742', '22731300', '1356361583', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361548', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361543', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361537', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361530', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361523', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361517', None, None, None, None, None, '2812248') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 21 time used for this insertion : 0.014142990112304688 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.045880794525146484 time spend to save output : 0.014565229415893555 total time spend for step 5 : 0.06044602394104004 step6:blur_detection Fri May 9 14:31:53 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 : 7 time used for this insertion : 0.009327173233032227 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 7 time used for this insertion : 0.009026288986206055 save missing photos in datou_result : time spend for datou_step_exec : 0.02255392074584961 time spend to save output : 0.023034334182739258 total time spend for step 6 : 0.04558825492858887 step7:brightness Fri May 9 14:31:53 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 : 7 time used for this insertion : 0.008789777755737305 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 7 time used for this insertion : 0.008297204971313477 save missing photos in datou_result : time spend for datou_step_exec : 0.02599620819091797 time spend to save output : 0.021231412887573242 total time spend for step 7 : 0.04722762107849121 step8:send_mail_cod Fri May 9 14:31:53 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_P22731300_09-05-2025_14_31_53.pdf 22826580 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 .imagette228265801746793913 22826581 imagette228265811746793916 22826582 imagette228265821746793916 22826583 imagette228265831746793916 22826584 imagette228265841746793916 22826585 imagette228265851746793916 22826586 imagette228265861746793916 22826587 change filename to text .change filename to text .imagette228265871746793916 22826596 imagette228265961746793916 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=22731300 and hashtag_type = 4857 and pcr.hashtag_id = h.hashtag_id; velour_link : https://www.fotonower.com/velours/22738510,22738511,22738512,22738513,22738514,22738519,22738521,22738522,22738524,22738530,22738535,22738538,22738540,22738541,22738543,22738544,22738545,22738546,22738548?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=22731300 your option no_mail is active, we will not send the real mail to your client args[1356361583] : ((1356361583, 995.6443410907566, 2107751945), (1356361583, -0.22533855902404604, 496442774), '0.5180177153219047') We are sending mail with results at kexin@fotonower.com args[1356361548] : ((1356361548, 4662.018021972973, 492609224), (1356361548, -0.3648077506476149, 496442774), '0.5180177153219047') We are sending mail with results at kexin@fotonower.com args[1356361543] : ((1356361543, 4208.3290057896575, 492609224), (1356361543, -0.16905383703216303, 496442774), '0.5180177153219047') We are sending mail with results at kexin@fotonower.com args[1356361537] : ((1356361537, 3034.2725583232705, 492609224), (1356361537, -0.3339108909735234, 496442774), '0.5180177153219047') We are sending mail with results at kexin@fotonower.com args[1356361530] : ((1356361530, 3071.399476237449, 492609224), (1356361530, -0.40043610117869666, 496442774), '0.5180177153219047') We are sending mail with results at kexin@fotonower.com args[1356361523] : ((1356361523, 127.61887722167494, 492688767), (1356361523, -1.3618691818971234, 501862349), '0.5180177153219047') We are sending mail with results at kexin@fotonower.com args[1356361517] : ((1356361517, 913.5448104385467, 2107751945), (1356361517, -0.7327232120173187, 501862349), '0.5180177153219047') We are sending mail with results at kexin@fotonower.com refus_total : 0.5180177153219047 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_P22731300_09-05-2025_14_31_53.pdf results_COD_P22731300_09-05-2025_14_31_53.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P22731300_09-05-2025_14_31_53.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','22731300','results_COD_P22731300_09-05-2025_14_31_53.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P22731300_09-05-2025_14_31_53.pdf','pdf','','0.59','0.5180177153219047') Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : send_mail_cod we use saveGeneral [1356361583, 1356361548, 1356361543, 1356361537, 1356361530, 1356361523, 1356361517] 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, '2812248') ('4742', '22731300', '1356361583', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361548', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361543', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361537', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361530', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361523', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361517', None, None, None, None, None, '2812248') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 7 time used for this insertion : 0.016726255416870117 save_final save missing photos in datou_result : time spend for datou_step_exec : 5.8243584632873535 time spend to save output : 0.017013072967529297 total time spend for step 8 : 5.841371536254883 step9:split_time_score Fri May 9 14:31:59 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'}] (('33', 2), ('34', 2), ('35', 2), ('40', 1)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 06052025 22731300 Nombre de photos uploadées : 7 / 23040 (0%) 06052025 22731300 Nombre de photos taguées (types de déchets): 0 / 7 (0%) 06052025 22731300 Nombre de photos taguées (volume) : 0 / 7 (0%) elapsed_time : load_data_split_time_score 3.337860107421875e-06 elapsed_time : order_list_meta_photo_and_scores 8.58306884765625e-06 ??????? elapsed_time : fill_and_build_computed_from_old_data 0.0004572868347167969 elapsed_time : insert_dashboard_record_day_entry 0.02848196029663086 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 : 0.5180177153219047 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P22731300_09-05-2025_14_31_53.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22731300 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`=22731300 AND mptpi.`type`=4857 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22731301_06-05-2025_23_52_02.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22731301 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22731302_06-05-2025_22_55_31.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22731302 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22731303_06-05-2025_22_14_07.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22731303 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22731304_06-05-2025_21_53_37.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22731304 order by id desc limit 1 NUMBER BATCH : 0 # DISPLAY ALL COLLECTED DATA : {'06052025': {'nb_upload': 7, '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 [1356361583, 1356361548, 1356361543, 1356361537, 1356361530, 1356361523, 1356361517] Looping around the photos to save general results len do output : 1 /22731300Didn'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, '2812248') ('4742', '22731300', '1356361583', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361548', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361543', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361537', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361530', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361523', None, None, None, None, None, '2812248') ('4742', None, None, None, None, None, None, None, '2812248') ('4742', '22731300', '1356361517', None, None, None, None, None, '2812248') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 8 time used for this insertion : 0.017489910125732422 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.8045823574066162 time spend to save output : 0.01777195930480957 total time spend for step 9 : 1.8223543167114258 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 7 set_done_treatment 4.18user 2.94system 0:21.38elapsed 33%CPU (0avgtext+0avgdata 222856maxresident)k 96inputs+68448outputs (14major+307920minor)pagefaults 0swaps