python /home/admin/mtr/script_for_cron.py -j default -m 20 -a 'python3 ~/workarea/git/Velours/python/prod/datou.py -j batch_current -a 4910 -P 20116173' -s traitement_4887 -M 0 -S 0 -U 100,80,95 import MySQLdb succeeded Import error (python version) ['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/home/admin/workarea/install/darknet', '/home/admin/workarea/git/Velours/python', '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python', '/home/admin/mtr/.credentials', '/home/admin/workarea/install/caffe/python', '/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools', '/home/admin/workarea/git/fotonowerpip', '/home/admin/workarea/install/segment-anything', '/home/admin/workarea/git/pyfvs', '/home/admin/workarea/git/apy', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages'] process id : 390891 load datou : 4910 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13969 copy_chis is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13970 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13967 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition ! WARNING : number of outputs for step 13967 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13974 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13968 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 13971 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13972 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13973 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs ! Step 13975 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13969 have datatype=11 whereas input 0 of step 13967 have datatype=2 WARNING : type of output 1 of step 13970 doesn't seem to be define in the database( WARNING : type of input 3 of step 13968 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13970 doesn't seem to be define in the database( WARNING : type of input 1 of step 13967 doesn't seem to be define in the database( WARNING : output 0 of step 13974 have datatype=10 whereas input 3 of step 13973 have datatype=6 WARNING : type of input 1 of step 13974 doesn't seem to be define in the database( WARNING : output 1 of step 13967 have datatype=7 whereas input 1 of step 13974 have datatype=None WARNING : type of output 1 of step 13974 doesn't seem to be define in the database( WARNING : type of input 4 of step 13968 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13969 doesn't seem to be define in the database( WARNING : type of input 1 of step 13970 doesn't seem to be define in the database( DataTypes for each output/input checked ! Unexpected type for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : id de la photo (peut être local ou global) was removed should we ? donnée sous forme de nombre was removed should we ? None was removed should we ? donnée sous forme de texte was removed should we ? chemin de la photo was removed should we ? donnée sous forme de texte was removed should we ? [ (photo_id, photo_id_loc, hashtag_type, x0, x1, y0, y1, score), ...] was removed should we ? None was removed should we ? donnée sous forme de texte was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? id de la photo (peut être local ou global) was removed should we ? donnée sous forme de texte was removed should we ? donnée sous forme de texte was removed should we ? donnée sous forme de texte was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? donnée sous forme de texte was removed should we ? None was removed should we ? donnée sous forme de texte was removed should we ? [ptf_id0,ptf_id1...] was removed should we ? load thcls load pdts Running datou job : batch_current updating current state to 1 list_input_json: [] Current got : datou_id : 4910, datou_cur_ids : ['2565445'] with mtr_portfolio_ids : ['20116173'] and first list_photo_ids : [] new path : /proc/390891/ Inside batchDatouExec : verbose : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13969 copy_chis is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13970 consolidate_hashtags_from_manual_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13967 rle_unique_nms_with_priority is not consistent : 3 used against 1 in the step definition ! WARNING : number of outputs for step 13967 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13974 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13968 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 13971 blur_detection have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13972 brightness have less inputs used (0) than in the step definition (1) : maybe we manage optionnal inputs ! Step 13973 send_mail_cod have less inputs used (4) than in the step definition (5) : maybe we manage optionnal inputs ! Step 13975 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13969 have datatype=11 whereas input 0 of step 13967 have datatype=2 WARNING : type of output 1 of step 13970 doesn't seem to be define in the database( WARNING : type of input 3 of step 13968 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13970 doesn't seem to be define in the database( WARNING : type of input 1 of step 13967 doesn't seem to be define in the database( WARNING : output 0 of step 13974 have datatype=10 whereas input 3 of step 13973 have datatype=6 WARNING : type of input 1 of step 13974 doesn't seem to be define in the database( WARNING : output 1 of step 13967 have datatype=7 whereas input 1 of step 13974 have datatype=None WARNING : type of output 1 of step 13974 doesn't seem to be define in the database( WARNING : type of input 4 of step 13968 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13969 doesn't seem to be define in the database( WARNING : type of input 1 of step 13970 doesn't seem to be define in the database( DataTypes for each output/input checked ! List Step Type Loaded in datou : copy_chis, consolidate_hashtags_from_manual_portfolio, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final, blur_detection, brightness, send_mail_cod, split_time_score over limit max, limiting to limit_max 100 list_input_json : [] origin We have 1 , BFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 40 ; length of list_pids : 40 ; length of list_args : 40 time to download the photos : 7.899068832397461 About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 9 step1:copy_chis Fri Feb 7 17:26:30 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 929 chid ids of type : 4211 batch 1 Loaded 174 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 156 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 141 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 131 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 158 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 149 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 134 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 132 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 28 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : copy_chis we use saveGeneral [1333285261, 1333285256, 1333285252, 1333285245, 1333285213, 1333285209, 1333284970, 1333284962, 1333284923, 1333284856, 1333284837, 1333284833, 1333284677, 1333284671, 1333284667, 1333284665, 1333284659, 1333284651, 1333284555, 1333284431, 1333284316, 1333284312, 1333284286, 1333284267, 1333283852, 1333283844, 1333283837, 1333283832, 1333283829, 1333283817, 1333283603, 1333283598, 1333283597, 1333283594, 1333283593, 1333283589, 1333283585, 1333283578, 1333283576, 1333283568] Looping around the photos to save general results len do output : 40 /1333283568Didn't retrieve data . /1333283576Didn't retrieve data . /1333283578Didn't retrieve data . /1333283585Didn't retrieve data . /1333283589Didn't retrieve data . /1333283593Didn't retrieve data . /1333283594Didn't retrieve data . /1333283597Didn't retrieve data . /1333283598Didn't retrieve data . /1333283603Didn't retrieve data . /1333283817Didn't retrieve data . /1333283829Didn't retrieve data . /1333283832Didn't retrieve data . /1333283837Didn't retrieve data . /1333283844Didn't retrieve data . /1333283852Didn't retrieve data . /1333284267Didn't retrieve data . /1333284286Didn't retrieve data . /1333284312Didn't retrieve data . /1333284316Didn't retrieve data . /1333284431Didn't retrieve data . /1333284555Didn't retrieve data . /1333284651Didn't retrieve data . /1333284659Didn't retrieve data . /1333284665Didn't retrieve data . /1333284667Didn't retrieve data . /1333284671Didn't retrieve data . /1333284677Didn't retrieve data . /1333284833Didn't retrieve data . /1333284837Didn't retrieve data . /1333284856Didn't retrieve data . /1333284923Didn't retrieve data . /1333284962Didn't retrieve data . /1333284970Didn't retrieve data . /1333285209Didn't retrieve data . /1333285213Didn't retrieve data . /1333285245Didn't retrieve data . /1333285252Didn't retrieve data . /1333285256Didn't retrieve data . /1333285261Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285261', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285256', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285252', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285245', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285213', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285209', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284970', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284962', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284923', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284856', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284837', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284833', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284677', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284671', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284667', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284665', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284659', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284651', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284555', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284431', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284316', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284312', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284286', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284267', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283852', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283844', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283837', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283832', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283829', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283817', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283603', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283598', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283597', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283594', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283593', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283589', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283585', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283578', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283576', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283568', None, None, None, None, None, '2565445') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 80 time used for this insertion : 0.02619194984436035 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.6928374767303467 time spend to save output : 0.027468442916870117 total time spend for step 1 : 0.7203059196472168 step2:consolidate_hashtags_from_manual_portfolio Fri Feb 7 17:26:30 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 : 20116173 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`=20116173 AND mptpi.`type`=4211 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('barquette_opaque','carton','ela','environnement','etiquette','film_plastique','kraft','metal','papier','pehd','pet_clair','pet_opaque','textiles_sanitaires','pet_fonce','mal_croppe','flou')) To do SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20116173 AND mptpi.`type`=4211 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('barquette_opaque','carton','ela','environnement','etiquette','film_plastique','kraft','metal','papier','pehd','pet_clair','pet_opaque','textiles_sanitaires','pet_fonce','mal_croppe','flou')) To do TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20116677 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 919 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : 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=20116678 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 939 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : 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=20116679 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 156 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20116680 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1146 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : 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=20116681 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 763 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20116682 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 357 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : 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=20116683 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=20116684 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1169 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : 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=20116685 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 700 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20116686 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 65 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20116687 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=20116688 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=20116689 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 20 chid ids of type : 4211 begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20116690 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1203 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20116691 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 469 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : 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=20116692 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1036 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : 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 [1333285261, 1333285256, 1333285252, 1333285245, 1333285213, 1333285209, 1333284970, 1333284962, 1333284923, 1333284856, 1333284837, 1333284833, 1333284677, 1333284671, 1333284667, 1333284665, 1333284659, 1333284651, 1333284555, 1333284431, 1333284316, 1333284312, 1333284286, 1333284267, 1333283852, 1333283844, 1333283837, 1333283832, 1333283829, 1333283817, 1333283603, 1333283598, 1333283597, 1333283594, 1333283593, 1333283589, 1333283585, 1333283578, 1333283576, 1333283568] 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 : 40 time used for this insertion : 0.019329309463500977 save_final save missing photos in datou_result : time spend for datou_step_exec : 11.097862720489502 time spend to save output : 0.019490957260131836 total time spend for step 2 : 11.117353677749634 step3:rle_unique_nms_with_priority Fri Feb 7 17:26:41 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 complete output_args for input 0 We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array VR 22-3-18 : For now we do not clean correctly the datou structure Begin step rle-unique-nms batch 1 Loaded 961 chid ids of type : 4211 seulement à utiliser dans la step consolidation batch 1 Loaded 28 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0363001823425293 seulement à utiliser dans la step consolidation batch 1 Loaded 29 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03229808807373047 seulement à utiliser dans la step consolidation batch 1 Loaded 12 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03373527526855469 seulement à utiliser dans la step consolidation batch 1 Loaded 20 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03306698799133301 seulement à utiliser dans la step consolidation batch 1 Loaded 17 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.042656898498535156 seulement à utiliser dans la step consolidation batch 1 Loaded 22 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.02872443199157715 seulement à utiliser dans la step consolidation batch 1 Loaded 32 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03600502014160156 seulement à utiliser dans la step consolidation batch 1 Loaded 33 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.038123130798339844 seulement à utiliser dans la step consolidation batch 1 Loaded 33 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03708362579345703 seulement à utiliser dans la step consolidation batch 1 Loaded 28 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03280067443847656 seulement à utiliser dans la step consolidation batch 1 Loaded 40 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0442049503326416 seulement à utiliser dans la step consolidation batch 1 Loaded 33 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03149819374084473 seulement à utiliser dans la step consolidation batch 1 Loaded 21 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03374338150024414 seulement à utiliser dans la step consolidation batch 1 Loaded 28 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.04604029655456543 seulement à utiliser dans la step consolidation batch 1 Loaded 37 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.04122281074523926 seulement à utiliser dans la step consolidation batch 1 Loaded 30 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.036240577697753906 seulement à utiliser dans la step consolidation batch 1 Loaded 36 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.05223655700683594 seulement à utiliser dans la step consolidation batch 1 Loaded 38 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.031070232391357422 seulement à utiliser dans la step consolidation batch 1 Loaded 49 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0382390022277832 seulement à utiliser dans la step consolidation batch 1 Loaded 35 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.06624865531921387 seulement à utiliser dans la step consolidation batch 1 Loaded 28 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03168535232543945 seulement à utiliser dans la step consolidation batch 1 Loaded 30 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03403592109680176 seulement à utiliser dans la step consolidation batch 1 Loaded 35 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03407883644104004 seulement à utiliser dans la step consolidation batch 1 Loaded 38 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0384669303894043 seulement à utiliser dans la step consolidation batch 1 Loaded 29 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.032877206802368164 seulement à utiliser dans la step consolidation batch 1 Loaded 43 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.034811973571777344 seulement à utiliser dans la step consolidation batch 1 Loaded 31 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.05261349678039551 seulement à utiliser dans la step consolidation batch 1 Loaded 38 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.04749560356140137 seulement à utiliser dans la step consolidation batch 1 Loaded 32 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03345608711242676 seulement à utiliser dans la step consolidation batch 1 Loaded 22 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.029603004455566406 seulement à utiliser dans la step consolidation batch 1 Loaded 17 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03407478332519531 seulement à utiliser dans la step consolidation batch 1 Loaded 17 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03704524040222168 seulement à utiliser dans la step consolidation batch 1 Loaded 17 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.036245107650756836 seulement à utiliser dans la step consolidation batch 1 Loaded 34 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.033707618713378906 seulement à utiliser dans la step consolidation batch 1 Loaded 17 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.032352447509765625 seulement à utiliser dans la step consolidation batch 1 Loaded 38 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.035948753356933594 seulement à utiliser dans la step consolidation batch 1 Loaded 34 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03788495063781738 seulement à utiliser dans la step consolidation batch 1 Loaded 32 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.034548282623291016 seulement à utiliser dans la step consolidation batch 1 Loaded 38 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.039151668548583984 seulement à utiliser dans la step consolidation batch 1 Loaded 32 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03420758247375488 map_output_result : {1333285261: (0.0, 'Should be the crop_list due to order', 0.0), 1333285256: (0.0, 'Should be the crop_list due to order', 0.0), 1333285252: (0.0, 'Should be the crop_list due to order', 0.0), 1333285245: (0.0, 'Should be the crop_list due to order', 0.0), 1333285213: (0.0, 'Should be the crop_list due to order', 0.0), 1333285209: (0.0, 'Should be the crop_list due to order', 0.0), 1333284970: (0.0, 'Should be the crop_list due to order', 0.0), 1333284962: (0.0, 'Should be the crop_list due to order', 0.0), 1333284923: (0.0, 'Should be the crop_list due to order', 0.0), 1333284856: (0.0, 'Should be the crop_list due to order', 0.0), 1333284837: (0.0, 'Should be the crop_list due to order', 0.0), 1333284833: (0.0, 'Should be the crop_list due to order', 0.0), 1333284677: (0.0, 'Should be the crop_list due to order', 0.0), 1333284671: (0.0, 'Should be the crop_list due to order', 0.0), 1333284667: (0.0, 'Should be the crop_list due to order', 0.0), 1333284665: (0.0, 'Should be the crop_list due to order', 0.0), 1333284659: (0.0, 'Should be the crop_list due to order', 0.0), 1333284651: (0.0, 'Should be the crop_list due to order', 0.0), 1333284555: (0.0, 'Should be the crop_list due to order', 0.0), 1333284431: (0.0, 'Should be the crop_list due to order', 0.0), 1333284316: (0.0, 'Should be the crop_list due to order', 0.0), 1333284312: (0.0, 'Should be the crop_list due to order', 0.0), 1333284286: (0.0, 'Should be the crop_list due to order', 0.0), 1333284267: (0.0, 'Should be the crop_list due to order', 0.0), 1333283852: (0.0, 'Should be the crop_list due to order', 0.0), 1333283844: (0.0, 'Should be the crop_list due to order', 0.0), 1333283837: (0.0, 'Should be the crop_list due to order', 0.0), 1333283832: (0.0, 'Should be the crop_list due to order', 0.0), 1333283829: (0.0, 'Should be the crop_list due to order', 0.0), 1333283817: (0.0, 'Should be the crop_list due to order', 0.0), 1333283603: (0.0, 'Should be the crop_list due to order', 0), 1333283598: (0.0, 'Should be the crop_list due to order', 0.0), 1333283597: (0.0, 'Should be the crop_list due to order', 0), 1333283594: (0.0, 'Should be the crop_list due to order', 0.0), 1333283593: (0.0, 'Should be the crop_list due to order', 0.0), 1333283589: (0.0, 'Should be the crop_list due to order', 0.0), 1333283585: (0.0, 'Should be the crop_list due to order', 0.0), 1333283578: (0.0, 'Should be the crop_list due to order', 0.0), 1333283576: (0.0, 'Should be the crop_list due to order', 0.0), 1333283568: (0.0, 'Should be the crop_list due to order', 0.0)} End step rle-unique-nms Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : rle_unique_nms_with_priority we use saveGeneral [1333285261, 1333285256, 1333285252, 1333285245, 1333285213, 1333285209, 1333284970, 1333284962, 1333284923, 1333284856, 1333284837, 1333284833, 1333284677, 1333284671, 1333284667, 1333284665, 1333284659, 1333284651, 1333284555, 1333284431, 1333284316, 1333284312, 1333284286, 1333284267, 1333283852, 1333283844, 1333283837, 1333283832, 1333283829, 1333283817, 1333283603, 1333283598, 1333283597, 1333283594, 1333283593, 1333283589, 1333283585, 1333283578, 1333283576, 1333283568] Looping around the photos to save general results len do output : 40 /1333285261.Didn't retrieve data . /1333285256.Didn't retrieve data . /1333285252.Didn't retrieve data . /1333285245.Didn't retrieve data . /1333285213.Didn't retrieve data . /1333285209.Didn't retrieve data . /1333284970.Didn't retrieve data . /1333284962.Didn't retrieve data . /1333284923.Didn't retrieve data . /1333284856.Didn't retrieve data . /1333284837.Didn't retrieve data . /1333284833.Didn't retrieve data . /1333284677.Didn't retrieve data . /1333284671.Didn't retrieve data . /1333284667.Didn't retrieve data . /1333284665.Didn't retrieve data . /1333284659.Didn't retrieve data . /1333284651.Didn't retrieve data . /1333284555.Didn't retrieve data . /1333284431.Didn't retrieve data . /1333284316.Didn't retrieve data . /1333284312.Didn't retrieve data . /1333284286.Didn't retrieve data . /1333284267.Didn't retrieve data . /1333283852.Didn't retrieve data . /1333283844.Didn't retrieve data . /1333283837.Didn't retrieve data . /1333283832.Didn't retrieve data . /1333283829.Didn't retrieve data . /1333283817.Didn't retrieve data . /1333283603.Didn't retrieve data . /1333283598.Didn't retrieve data . /1333283597.Didn't retrieve data . /1333283594.Didn't retrieve data . /1333283593.Didn't retrieve data . /1333283589.Didn't retrieve data . /1333283585.Didn't retrieve data . /1333283578.Didn't retrieve data . /1333283576.Didn't retrieve data . /1333283568.Didn't retrieve data . before output type Used above Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285261', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285256', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285252', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285245', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285213', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285209', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284970', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284962', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284923', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284856', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284837', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284833', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284677', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284671', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284667', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284665', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284659', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284651', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284555', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284431', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284316', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284312', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284286', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284267', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283852', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283844', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283837', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283832', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283829', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283817', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283603', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283598', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283597', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283594', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283593', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283589', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283585', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283578', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283576', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283568', None, None, None, None, None, '2565445') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 120 time used for this insertion : 0.026087284088134766 save_final save missing photos in datou_result : time spend for datou_step_exec : 4.906338930130005 time spend to save output : 0.027608633041381836 total time spend for step 3 : 4.933947563171387 step4:ventilate_hashtags_in_portfolio Fri Feb 7 17:26:46 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 : 20116173 get user id for portfolio 20116173 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`=20116173 AND mptpi.`type`=4211 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('barquette_opaque','carton','ela','environnement','etiquette','film_plastique','kraft','metal','papier','pehd','pet_clair','pet_opaque','textiles_sanitaires','pet_fonce','mal_croppe','flou')) AND mptpi.`min_score`=0.5 To do To do ! Use context local managing function ! SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20116173 AND mptpi.`type`=4211 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('barquette_opaque','carton','ela','environnement','etiquette','film_plastique','kraft','metal','papier','pehd','pet_clair','pet_opaque','textiles_sanitaires','pet_fonce','mal_croppe','flou')) AND mptpi.`min_score`=0.5 To do lien utilise dans velours : https://www.fotonower.com/velours/20116677,20116678,20116679,20116680,20116681,20116682,20116683,20116684,20116685,20116686,20116687,20116688,20116689,20116690,20116691,20116692?tags=papier,film_plastique,ela,flou,carton,pet_clair,pet_opaque,pehd,etiquette,pet_fonce,kraft,textiles_sanitaires,metal,mal_croppe,environnement,barquette_opaque Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1333285261, 1333285256, 1333285252, 1333285245, 1333285213, 1333285209, 1333284970, 1333284962, 1333284923, 1333284856, 1333284837, 1333284833, 1333284677, 1333284671, 1333284667, 1333284665, 1333284659, 1333284651, 1333284555, 1333284431, 1333284316, 1333284312, 1333284286, 1333284267, 1333283852, 1333283844, 1333283837, 1333283832, 1333283829, 1333283817, 1333283603, 1333283598, 1333283597, 1333283594, 1333283593, 1333283589, 1333283585, 1333283578, 1333283576, 1333283568] Looping around the photos to save general results len do output : 1 /20116173. before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285261', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285256', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285252', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285245', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285213', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285209', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284970', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284962', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284923', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284856', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284837', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284833', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284677', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284671', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284667', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284665', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284659', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284651', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284555', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284431', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284316', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284312', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284286', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284267', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283852', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283844', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283837', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283832', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283829', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283817', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283603', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283598', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283597', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283594', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283593', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283589', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283585', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283578', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283576', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283568', None, None, None, None, None, '2565445') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 41 time used for this insertion : 0.11271786689758301 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.5395629405975342 time spend to save output : 0.11320829391479492 total time spend for step 4 : 0.6527712345123291 step5:final Fri Feb 7 17:26:47 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! 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 : {1333285261: ('0.023161882974880803',), 1333285256: ('0.023161882974880803',), 1333285252: ('0.023161882974880803',), 1333285245: ('0.023161882974880803',), 1333285213: ('0.023161882974880803',), 1333285209: ('0.023161882974880803',), 1333284970: ('0.023161882974880803',), 1333284962: ('0.023161882974880803',), 1333284923: ('0.023161882974880803',), 1333284856: ('0.023161882974880803',), 1333284837: ('0.023161882974880803',), 1333284833: ('0.023161882974880803',), 1333284677: ('0.023161882974880803',), 1333284671: ('0.023161882974880803',), 1333284667: ('0.023161882974880803',), 1333284665: ('0.023161882974880803',), 1333284659: ('0.023161882974880803',), 1333284651: ('0.023161882974880803',), 1333284555: ('0.023161882974880803',), 1333284431: ('0.023161882974880803',), 1333284316: ('0.023161882974880803',), 1333284312: ('0.023161882974880803',), 1333284286: ('0.023161882974880803',), 1333284267: ('0.023161882974880803',), 1333283852: ('0.023161882974880803',), 1333283844: ('0.023161882974880803',), 1333283837: ('0.023161882974880803',), 1333283832: ('0.023161882974880803',), 1333283829: ('0.023161882974880803',), 1333283817: ('0.023161882974880803',), 1333283603: ('0.023161882974880803',), 1333283598: ('0.023161882974880803',), 1333283597: ('0.023161882974880803',), 1333283594: ('0.023161882974880803',), 1333283593: ('0.023161882974880803',), 1333283589: ('0.023161882974880803',), 1333283585: ('0.023161882974880803',), 1333283578: ('0.023161882974880803',), 1333283576: ('0.023161882974880803',), 1333283568: ('0.023161882974880803',)} new output for save of step final : {1333285261: ('0.023161882974880803',), 1333285256: ('0.023161882974880803',), 1333285252: ('0.023161882974880803',), 1333285245: ('0.023161882974880803',), 1333285213: ('0.023161882974880803',), 1333285209: ('0.023161882974880803',), 1333284970: ('0.023161882974880803',), 1333284962: ('0.023161882974880803',), 1333284923: ('0.023161882974880803',), 1333284856: ('0.023161882974880803',), 1333284837: ('0.023161882974880803',), 1333284833: ('0.023161882974880803',), 1333284677: ('0.023161882974880803',), 1333284671: ('0.023161882974880803',), 1333284667: ('0.023161882974880803',), 1333284665: ('0.023161882974880803',), 1333284659: ('0.023161882974880803',), 1333284651: ('0.023161882974880803',), 1333284555: ('0.023161882974880803',), 1333284431: ('0.023161882974880803',), 1333284316: ('0.023161882974880803',), 1333284312: ('0.023161882974880803',), 1333284286: ('0.023161882974880803',), 1333284267: ('0.023161882974880803',), 1333283852: ('0.023161882974880803',), 1333283844: ('0.023161882974880803',), 1333283837: ('0.023161882974880803',), 1333283832: ('0.023161882974880803',), 1333283829: ('0.023161882974880803',), 1333283817: ('0.023161882974880803',), 1333283603: ('0.023161882974880803',), 1333283598: ('0.023161882974880803',), 1333283597: ('0.023161882974880803',), 1333283594: ('0.023161882974880803',), 1333283593: ('0.023161882974880803',), 1333283589: ('0.023161882974880803',), 1333283585: ('0.023161882974880803',), 1333283578: ('0.023161882974880803',), 1333283576: ('0.023161882974880803',), 1333283568: ('0.023161882974880803',)} [1333285261, 1333285256, 1333285252, 1333285245, 1333285213, 1333285209, 1333284970, 1333284962, 1333284923, 1333284856, 1333284837, 1333284833, 1333284677, 1333284671, 1333284667, 1333284665, 1333284659, 1333284651, 1333284555, 1333284431, 1333284316, 1333284312, 1333284286, 1333284267, 1333283852, 1333283844, 1333283837, 1333283832, 1333283829, 1333283817, 1333283603, 1333283598, 1333283597, 1333283594, 1333283593, 1333283589, 1333283585, 1333283578, 1333283576, 1333283568] Looping around the photos to save general results len do output : 40 /1333285261.Didn't retrieve data . /1333285256.Didn't retrieve data . /1333285252.Didn't retrieve data . /1333285245.Didn't retrieve data . /1333285213.Didn't retrieve data . /1333285209.Didn't retrieve data . /1333284970.Didn't retrieve data . /1333284962.Didn't retrieve data . /1333284923.Didn't retrieve data . /1333284856.Didn't retrieve data . /1333284837.Didn't retrieve data . /1333284833.Didn't retrieve data . /1333284677.Didn't retrieve data . /1333284671.Didn't retrieve data . /1333284667.Didn't retrieve data . /1333284665.Didn't retrieve data . /1333284659.Didn't retrieve data . /1333284651.Didn't retrieve data . /1333284555.Didn't retrieve data . /1333284431.Didn't retrieve data . /1333284316.Didn't retrieve data . /1333284312.Didn't retrieve data . /1333284286.Didn't retrieve data . /1333284267.Didn't retrieve data . /1333283852.Didn't retrieve data . /1333283844.Didn't retrieve data . /1333283837.Didn't retrieve data . /1333283832.Didn't retrieve data . /1333283829.Didn't retrieve data . /1333283817.Didn't retrieve data . /1333283603.Didn't retrieve data . /1333283598.Didn't retrieve data . /1333283597.Didn't retrieve data . /1333283594.Didn't retrieve data . /1333283593.Didn't retrieve data . /1333283589.Didn't retrieve data . /1333283585.Didn't retrieve data . /1333283578.Didn't retrieve data . /1333283576.Didn't retrieve data . /1333283568.Didn't retrieve data . before output type Used above Used above Managing all output in save final without adding information in the mtr_datou_result ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285261', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285256', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285252', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285245', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285213', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285209', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284970', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284962', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284923', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284856', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284837', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284833', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284677', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284671', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284667', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284665', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284659', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284651', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284555', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284431', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284316', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284312', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284286', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284267', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283852', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283844', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283837', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283832', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283829', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283817', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283603', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283598', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283597', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283594', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283593', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283589', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283585', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283578', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283576', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283568', None, None, None, None, None, '2565445') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 120 time used for this insertion : 0.017995119094848633 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.04418611526489258 time spend to save output : 0.019664287567138672 total time spend for step 5 : 0.06385040283203125 step6:blur_detection Fri Feb 7 17:26:47 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! 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 : 40 time used for this insertion : 0.01143336296081543 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 40 time used for this insertion : 0.011142492294311523 save missing photos in datou_result : time spend for datou_step_exec : 0.024291038513183594 time spend to save output : 0.028334856033325195 total time spend for step 6 : 0.05262589454650879 step7:brightness Fri Feb 7 17:26:47 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! 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 : 40 time used for this insertion : 0.01076197624206543 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 40 time used for this insertion : 0.013066768646240234 save missing photos in datou_result : time spend for datou_step_exec : 0.03203463554382324 time spend to save output : 0.028458356857299805 total time spend for step 7 : 0.06049299240112305 step8:send_mail_cod Fri Feb 7 17:26:47 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed 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_P20116173_07-02-2025_17_26_47.pdf 20116677 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 .imagette201166771738945607 20116678 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 .imagette201166781738945609 20116679 change filename to text .change filename to text .change filename to text .change filename to text .imagette201166791738945611 20116681 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 .imagette201166811738945611 20116682 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 .imagette201166821738945613 20116683 imagette201166831738945614 20116686 change filename to text .change filename to text .change filename to text .imagette201166861738945614 20116687 imagette201166871738945615 20116688 imagette201166881738945615 20116689 change filename to text .imagette201166891738945615 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=20116173 and hashtag_type = 4211 and pcr.hashtag_id = h.hashtag_id; velour_link : https://www.fotonower.com/velours/20116677,20116678,20116679,20116680,20116681,20116682,20116683,20116684,20116685,20116686,20116687,20116688,20116689,20116690,20116691,20116692?tags=papier,film_plastique,ela,flou,carton,pet_clair,pet_opaque,pehd,etiquette,pet_fonce,kraft,textiles_sanitaires,metal,mal_croppe,environnement,barquette_opaque your option no_mail is active, we will not send the real mail to your client args[1333285261] : ((1333285261, -4.127006896855857, 492609224), (1333285261, -0.1788785255453811, 496442774), '0.023161882974880803') apple ((1333285261, -4.127006896855857, 492609224), (1333285261, -0.1788785255453811, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333285256] : ((1333285256, -3.6564893956495927, 492609224), (1333285256, -0.11900161094630832, 496442774), '0.023161882974880803') apple ((1333285256, -3.6564893956495927, 492609224), (1333285256, -0.11900161094630832, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333285252] : ((1333285252, -3.740803208310945, 492609224), (1333285252, -0.027779699284348362, 2107752395), '0.023161882974880803') apple ((1333285252, -3.740803208310945, 492609224), (1333285252, -0.027779699284348362, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333285245] : ((1333285245, -5.062320364873138, 492609224), (1333285245, -0.00834685779086235, 2107752395), '0.023161882974880803') apple ((1333285245, -5.062320364873138, 492609224), (1333285245, -0.00834685779086235, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333285213] : ((1333285213, -5.799117018133748, 492609224), (1333285213, -0.14957527702934365, 496442774), '0.023161882974880803') apple ((1333285213, -5.799117018133748, 492609224), (1333285213, -0.14957527702934365, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333285209] : ((1333285209, -4.042061843878755, 492609224), (1333285209, -0.29413734735791647, 496442774), '0.023161882974880803') apple ((1333285209, -4.042061843878755, 492609224), (1333285209, -0.29413734735791647, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284970] : ((1333284970, -5.343602831422318, 492609224), (1333284970, 0.06555373359429605, 2107752395), '0.023161882974880803') apple ((1333284970, -5.343602831422318, 492609224), (1333284970, 0.06555373359429605, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284962] : ((1333284962, -4.768674333930834, 492609224), (1333284962, -0.18195644269972802, 496442774), '0.023161882974880803') apple ((1333284962, -4.768674333930834, 492609224), (1333284962, -0.18195644269972802, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284923] : ((1333284923, -4.820558361415022, 492609224), (1333284923, -0.012239403181210381, 2107752395), '0.023161882974880803') apple ((1333284923, -4.820558361415022, 492609224), (1333284923, -0.012239403181210381, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284856] : ((1333284856, -5.100755038973276, 492609224), (1333284856, -0.08370872342129064, 496442774), '0.023161882974880803') apple ((1333284856, -5.100755038973276, 492609224), (1333284856, -0.08370872342129064, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284837] : ((1333284837, -3.9591854252621337, 492609224), (1333284837, -0.14336029287180133, 496442774), '0.023161882974880803') apple ((1333284837, -3.9591854252621337, 492609224), (1333284837, -0.14336029287180133, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284833] : ((1333284833, -4.8712504354770765, 492609224), (1333284833, -0.10681079305026223, 496442774), '0.023161882974880803') apple ((1333284833, -4.8712504354770765, 492609224), (1333284833, -0.10681079305026223, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284677] : ((1333284677, -4.409278980148803, 492609224), (1333284677, -0.05247687208953291, 2107752395), '0.023161882974880803') apple ((1333284677, -4.409278980148803, 492609224), (1333284677, -0.05247687208953291, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284671] : ((1333284671, -3.50123097430282, 492609224), (1333284671, -0.11484876675234199, 496442774), '0.023161882974880803') apple ((1333284671, -3.50123097430282, 492609224), (1333284671, -0.11484876675234199, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284667] : ((1333284667, -5.396312302438203, 492609224), (1333284667, -0.15853281812143716, 496442774), '0.023161882974880803') apple ((1333284667, -5.396312302438203, 492609224), (1333284667, -0.15853281812143716, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284665] : ((1333284665, -3.8959331560692605, 492609224), (1333284665, -0.09513656620997517, 496442774), '0.023161882974880803') apple ((1333284665, -3.8959331560692605, 492609224), (1333284665, -0.09513656620997517, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284659] : ((1333284659, -4.202652850592366, 492609224), (1333284659, 0.029300009651565904, 2107752395), '0.023161882974880803') apple ((1333284659, -4.202652850592366, 492609224), (1333284659, 0.029300009651565904, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284651] : ((1333284651, -5.245744780483324, 492609224), (1333284651, -0.15346971980956334, 496442774), '0.023161882974880803') apple ((1333284651, -5.245744780483324, 492609224), (1333284651, -0.15346971980956334, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284555] : ((1333284555, -4.872081793327342, 492609224), (1333284555, -0.05117849518333684, 2107752395), '0.023161882974880803') apple ((1333284555, -4.872081793327342, 492609224), (1333284555, -0.05117849518333684, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284431] : ((1333284431, -4.304813585732043, 492609224), (1333284431, -0.07816222731002469, 496442774), '0.023161882974880803') apple ((1333284431, -4.304813585732043, 492609224), (1333284431, -0.07816222731002469, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284316] : ((1333284316, -6.156112609719172, 492609224), (1333284316, -0.09623885637895874, 496442774), '0.023161882974880803') apple ((1333284316, -6.156112609719172, 492609224), (1333284316, -0.09623885637895874, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284312] : ((1333284312, -5.055244124026251, 492609224), (1333284312, -0.04835054976849657, 2107752395), '0.023161882974880803') apple ((1333284312, -5.055244124026251, 492609224), (1333284312, -0.04835054976849657, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284286] : ((1333284286, -4.481182628536024, 492609224), (1333284286, -0.12748769301402307, 496442774), '0.023161882974880803') apple ((1333284286, -4.481182628536024, 492609224), (1333284286, -0.12748769301402307, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333284267] : ((1333284267, -4.1711862829085415, 492609224), (1333284267, -0.20157656231767992, 496442774), '0.023161882974880803') apple ((1333284267, -4.1711862829085415, 492609224), (1333284267, -0.20157656231767992, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283852] : ((1333283852, -5.071518525508953, 492609224), (1333283852, -0.011319338482356457, 2107752395), '0.023161882974880803') apple ((1333283852, -5.071518525508953, 492609224), (1333283852, -0.011319338482356457, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283844] : ((1333283844, -3.893005319537466, 492609224), (1333283844, -0.1428615985548375, 496442774), '0.023161882974880803') apple ((1333283844, -3.893005319537466, 492609224), (1333283844, -0.1428615985548375, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283837] : ((1333283837, -4.449028580626286, 492609224), (1333283837, -0.16648909356310895, 496442774), '0.023161882974880803') apple ((1333283837, -4.449028580626286, 492609224), (1333283837, -0.16648909356310895, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283832] : ((1333283832, -4.803054745854171, 492609224), (1333283832, -0.10699136846395747, 496442774), '0.023161882974880803') apple ((1333283832, -4.803054745854171, 492609224), (1333283832, -0.10699136846395747, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283829] : ((1333283829, -4.007767993145182, 492609224), (1333283829, -0.20036478366192045, 496442774), '0.023161882974880803') apple ((1333283829, -4.007767993145182, 492609224), (1333283829, -0.20036478366192045, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283817] : ((1333283817, -4.802653051648554, 492609224), (1333283817, -0.005403608389613378, 2107752395), '0.023161882974880803') apple ((1333283817, -4.802653051648554, 492609224), (1333283817, -0.005403608389613378, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283603] : ((1333283603, -2.542254381695795, 492609224), (1333283603, -0.05131017860030671, 2107752395), '0.023161882974880803') apple ((1333283603, -2.542254381695795, 492609224), (1333283603, -0.05131017860030671, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283598] : ((1333283598, -3.696564609714947, 492609224), (1333283598, -0.15713240592977246, 496442774), '0.023161882974880803') apple ((1333283598, -3.696564609714947, 492609224), (1333283598, -0.15713240592977246, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283597] : ((1333283597, -2.542254381695795, 492609224), (1333283597, -0.05131017860030671, 2107752395), '0.023161882974880803') apple ((1333283597, -2.542254381695795, 492609224), (1333283597, -0.05131017860030671, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283594] : ((1333283594, -4.6667536242210925, 492609224), (1333283594, -0.0762394913298023, 496442774), '0.023161882974880803') apple ((1333283594, -4.6667536242210925, 492609224), (1333283594, -0.0762394913298023, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283593] : ((1333283593, -3.696564609714947, 492609224), (1333283593, -0.15713240592977246, 496442774), '0.023161882974880803') apple ((1333283593, -3.696564609714947, 492609224), (1333283593, -0.15713240592977246, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283589] : ((1333283589, -4.425297831431671, 492609224), (1333283589, 0.0774024678412645, 2107752395), '0.023161882974880803') apple ((1333283589, -4.425297831431671, 492609224), (1333283589, 0.0774024678412645, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283585] : ((1333283585, -4.6667536242210925, 492609224), (1333283585, -0.0762394913298023, 496442774), '0.023161882974880803') apple ((1333283585, -4.6667536242210925, 492609224), (1333283585, -0.0762394913298023, 496442774), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283578] : ((1333283578, -4.686967072012199, 492609224), (1333283578, 0.03799684748668002, 2107752395), '0.023161882974880803') apple ((1333283578, -4.686967072012199, 492609224), (1333283578, 0.03799684748668002, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283576] : ((1333283576, -4.425297831431671, 492609224), (1333283576, 0.0774024678412645, 2107752395), '0.023161882974880803') apple ((1333283576, -4.425297831431671, 492609224), (1333283576, 0.0774024678412645, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com args[1333283568] : ((1333283568, -4.686967072012199, 492609224), (1333283568, 0.03799684748668002, 2107752395), '0.023161882974880803') apple ((1333283568, -4.686967072012199, 492609224), (1333283568, 0.03799684748668002, 2107752395), '0.023161882974880803') We are sending mail with results at kexin@fotonower.com refus_total : 0.023161882974880803 2022-04-13 10:29:59 0 SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20116173 AND mpp.hide_status=0 ORDER BY mpp.order LIMIT 0, 1000 SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (1333284431,1333285261,1333285256,1333285252,1333285245,1333284923,1333284856,1333284833,1333284671,1333284667,1333284665,1333284659,1333284651,1333284316,1333284267,1333283576,1333283837,1333283589,1333283832,1333283829) Found this number of photos: 20 begin to download photo : 1333284431 begin to download photo : 1333284923 begin to download photo : 1333284665 begin to download photo : 1333283576 download finish for photo 1333284431 begin to download photo : 1333285261 download finish for photo 1333283576 begin to download photo : 1333283837 download finish for photo 1333284923 begin to download photo : 1333284856 download finish for photo 1333284665 begin to download photo : 1333284659 download finish for photo 1333285261 begin to download photo : 1333285256 download finish for photo 1333284856 begin to download photo : 1333284833 download finish for photo 1333284659 begin to download photo : 1333284651 download finish for photo 1333283837 begin to download photo : 1333283589 download finish for photo 1333285256 begin to download photo : 1333285252 download finish for photo 1333284651 begin to download photo : 1333284316 download finish for photo 1333284833 begin to download photo : 1333284671 download finish for photo 1333284316 begin to download photo : 1333284267 download finish for photo 1333283589 begin to download photo : 1333283832 download finish for photo 1333284671 begin to download photo : 1333284667 download finish for photo 1333285252 begin to download photo : 1333285245 download finish for photo 1333283832 begin to download photo : 1333283829 download finish for photo 1333284267 download finish for photo 1333284667 download finish for photo 1333285245 download finish for photo 1333283829 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20116173_07-02-2025_17_26_47.pdf results_COD_P20116173_07-02-2025_17_26_47.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20116173_07-02-2025_17_26_47.pdf start insert file to database insert into MTRUser.mtr_files (mtd_id,mtr_portfolio_id,text,url,format,tags,file_size,value) values ('4910','20116173','results_COD_P20116173_07-02-2025_17_26_47.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20116173_07-02-2025_17_26_47.pdf','pdf','','1.0','0.023161882974880803') Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : send_mail_cod we use saveGeneral [1333285261, 1333285256, 1333285252, 1333285245, 1333285213, 1333285209, 1333284970, 1333284962, 1333284923, 1333284856, 1333284837, 1333284833, 1333284677, 1333284671, 1333284667, 1333284665, 1333284659, 1333284651, 1333284555, 1333284431, 1333284316, 1333284312, 1333284286, 1333284267, 1333283852, 1333283844, 1333283837, 1333283832, 1333283829, 1333283817, 1333283603, 1333283598, 1333283597, 1333283594, 1333283593, 1333283589, 1333283585, 1333283578, 1333283576, 1333283568] Looping around the photos to save general results len do output : 0 before output type Used above Managing all output in save final without adding information in the mtr_datou_result ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285261', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285256', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285252', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285245', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285213', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285209', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284970', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284962', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284923', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284856', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284837', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284833', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284677', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284671', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284667', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284665', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284659', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284651', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284555', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284431', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284316', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284312', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284286', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284267', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283852', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283844', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283837', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283832', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283829', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283817', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283603', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283598', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283597', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283594', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283593', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283589', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283585', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283578', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283576', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283568', None, None, None, None, None, '2565445') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 40 time used for this insertion : 0.022535324096679688 save_final save missing photos in datou_result : time spend for datou_step_exec : 12.094311952590942 time spend to save output : 0.022968769073486328 total time spend for step 8 : 12.117280721664429 step9:split_time_score Fri Feb 7 17:26:59 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 Dont find camara_place_name for portfolio_id : 20116173 Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1333285261, 1333285256, 1333285252, 1333285245, 1333285213, 1333285209, 1333284970, 1333284962, 1333284923, 1333284856, 1333284837, 1333284833, 1333284677, 1333284671, 1333284667, 1333284665, 1333284659, 1333284651, 1333284555, 1333284431, 1333284316, 1333284312, 1333284286, 1333284267, 1333283852, 1333283844, 1333283837, 1333283832, 1333283829, 1333283817, 1333283603, 1333283598, 1333283597, 1333283594, 1333283593, 1333283589, 1333283585, 1333283578, 1333283576, 1333283568] Looping around the photos to save general results len do output : 0 before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285261', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285256', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285252', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285245', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285213', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333285209', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284970', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284962', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284923', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284856', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284837', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284833', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284677', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284671', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284667', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284665', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284659', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284651', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284555', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284431', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284316', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284312', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284286', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333284267', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283852', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283844', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283837', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283832', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283829', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283817', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283603', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283598', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283597', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283594', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283593', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283589', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283585', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283578', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283576', None, None, None, None, None, '2565445') ('4910', None, None, None, None, None, None, None, '2565445') ('4910', '20116173', '1333283568', None, None, None, None, None, '2565445') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 40 time used for this insertion : 0.02023029327392578 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.02437758445739746 time spend to save output : 0.02063155174255371 total time spend for step 9 : 0.04500913619995117 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 40 set_done_treatment 7.28user 2.04system 0:39.23elapsed 23%CPU (0avgtext+0avgdata 163780maxresident)k 48624inputs+145016outputs (53major+114622minor)pagefaults 0swaps