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_3459 -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 : 3137950 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 : ['2562749'] with mtr_portfolio_ids : ['20116173'] and first list_photo_ids : [] new path : /proc/3137950/ 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 : 9.214868068695068 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 10:57:56 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, '2562749') ('4910', '20116173', '1333285261', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285256', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285252', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285245', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285213', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285209', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284970', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284962', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284923', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284856', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284837', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284833', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284677', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284671', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284667', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284665', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284659', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284651', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284555', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284431', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284316', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284312', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284286', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284267', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283852', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283844', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283837', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283832', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283829', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283817', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283603', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283598', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283597', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283594', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283593', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283589', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283585', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283578', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283576', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283568', None, None, None, None, None, '2562749') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 80 time used for this insertion : 0.026324748992919922 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.21824049949646 time spend to save output : 0.027593612670898438 total time spend for step 1 : 1.2458341121673584 step2:consolidate_hashtags_from_manual_portfolio Fri Feb 7 10:57:58 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=20266357 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 818 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20266354 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 888 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 : 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=20266351 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=20266364 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1106 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 : 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=20266350 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 681 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 : 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=20266359 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 223 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 : 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=20266360 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 49 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=20266358 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1120 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 : 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=20266353 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 524 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 : 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=20266362 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 32 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=20266355 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=20266361 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=20266356 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=20266363 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=20266352 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 302 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 : 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=20266349 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1058 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 : 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 : 0.018288373947143555 save_final save missing photos in datou_result : time spend for datou_step_exec : 7.837225675582886 time spend to save output : 0.01860785484313965 total time spend for step 2 : 7.855833530426025 step3:rle_unique_nms_with_priority Fri Feb 7 10:58:05 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 929 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 : 0.02936244010925293 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 : 0.027920246124267578 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 : 0.027980566024780273 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 : 0.027837514877319336 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 : 0.02744770050048828 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 : 0.03230714797973633 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 : 0.030274391174316406 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 : 0.035009145736694336 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 : 0.029919147491455078 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 : 0.029906511306762695 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 : 0.03084874153137207 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 : 0.03178691864013672 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 : 0.02881336212158203 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 : 0.03128218650817871 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 : 0.029017210006713867 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 : 0.028485774993896484 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 : 0.03275346755981445 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 : 0.03110671043395996 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 : 0.032829999923706055 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 : 0.02970743179321289 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 : 0.02962779998779297 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 : 0.028012514114379883 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 : 0.03405904769897461 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 : 0.03151822090148926 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 : 0.02983379364013672 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 : 0.03244280815124512 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 : 0.030052900314331055 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 : 0.03557753562927246 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 : 0.031256675720214844 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 : 0.03125739097595215 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 : 0.029836416244506836 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 : 0.031113862991333008 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 : 0.029581785202026367 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 : 0.03727841377258301 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 : 0.027715206146240234 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 : 0.03288722038269043 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 : 0.03443551063537598 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 : 0.03438854217529297 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 : 0.03132987022399902 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 : 0.030526399612426758 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), 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, '2562749') ('4910', '20116173', '1333285261', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285256', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285252', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285245', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285213', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285209', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284970', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284962', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284923', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284856', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284837', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284833', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284677', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284671', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284667', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284665', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284659', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284651', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284555', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284431', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284316', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284312', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284286', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284267', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283852', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283844', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283837', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283832', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283829', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283817', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283603', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283598', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283597', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283594', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283593', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283589', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283585', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283578', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283576', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283568', None, None, None, None, None, '2562749') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 120 time used for this insertion : 0.016744613647460938 save_final save missing photos in datou_result : time spend for datou_step_exec : 4.557020664215088 time spend to save output : 0.01814556121826172 total time spend for step 3 : 4.57516622543335 step4:ventilate_hashtags_in_portfolio Fri Feb 7 10:58:10 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, '2562749') ('4910', '20116173', '1333285261', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285256', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285252', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285245', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285213', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285209', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284970', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284962', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284923', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284856', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284837', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284833', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284677', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284671', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284667', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284665', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284659', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284651', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284555', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284431', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284316', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284312', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284286', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284267', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283852', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283844', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283837', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283832', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283829', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283817', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283603', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283598', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283597', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283594', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283593', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283589', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283585', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283578', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283576', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283568', None, None, None, None, None, '2562749') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 41 time used for this insertion : 0.018934965133666992 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.7469635009765625 time spend to save output : 0.019402027130126953 total time spend for step 4 : 0.7663655281066895 step5:final Fri Feb 7 10:58:11 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: ('0.29539807362846165',), 1333285256: ('0.29539807362846165',), 1333285252: ('0.29539807362846165',), 1333285245: ('0.29539807362846165',), 1333285213: ('0.29539807362846165',), 1333285209: ('0.29539807362846165',), 1333284970: ('0.29539807362846165',), 1333284962: ('0.29539807362846165',), 1333284923: ('0.29539807362846165',), 1333284856: ('0.29539807362846165',), 1333284837: ('0.29539807362846165',), 1333284833: ('0.29539807362846165',), 1333284677: ('0.29539807362846165',), 1333284671: ('0.29539807362846165',), 1333284667: ('0.29539807362846165',), 1333284665: ('0.29539807362846165',), 1333284659: ('0.29539807362846165',), 1333284651: ('0.29539807362846165',), 1333284555: ('0.29539807362846165',), 1333284431: ('0.29539807362846165',), 1333284316: ('0.29539807362846165',), 1333284312: ('0.29539807362846165',), 1333284286: ('0.29539807362846165',), 1333284267: ('0.29539807362846165',), 1333283852: ('0.29539807362846165',), 1333283844: ('0.29539807362846165',), 1333283837: ('0.29539807362846165',), 1333283832: ('0.29539807362846165',), 1333283829: ('0.29539807362846165',), 1333283817: ('0.29539807362846165',), 1333283603: ('0.29539807362846165',), 1333283598: ('0.29539807362846165',), 1333283597: ('0.29539807362846165',), 1333283594: ('0.29539807362846165',), 1333283593: ('0.29539807362846165',), 1333283589: ('0.29539807362846165',), 1333283585: ('0.29539807362846165',), 1333283578: ('0.29539807362846165',), 1333283576: ('0.29539807362846165',), 1333283568: ('0.29539807362846165',)} new output for save of step final : {1333285261: ('0.29539807362846165',), 1333285256: ('0.29539807362846165',), 1333285252: ('0.29539807362846165',), 1333285245: ('0.29539807362846165',), 1333285213: ('0.29539807362846165',), 1333285209: ('0.29539807362846165',), 1333284970: ('0.29539807362846165',), 1333284962: ('0.29539807362846165',), 1333284923: ('0.29539807362846165',), 1333284856: ('0.29539807362846165',), 1333284837: ('0.29539807362846165',), 1333284833: ('0.29539807362846165',), 1333284677: ('0.29539807362846165',), 1333284671: ('0.29539807362846165',), 1333284667: ('0.29539807362846165',), 1333284665: ('0.29539807362846165',), 1333284659: ('0.29539807362846165',), 1333284651: ('0.29539807362846165',), 1333284555: ('0.29539807362846165',), 1333284431: ('0.29539807362846165',), 1333284316: ('0.29539807362846165',), 1333284312: ('0.29539807362846165',), 1333284286: ('0.29539807362846165',), 1333284267: ('0.29539807362846165',), 1333283852: ('0.29539807362846165',), 1333283844: ('0.29539807362846165',), 1333283837: ('0.29539807362846165',), 1333283832: ('0.29539807362846165',), 1333283829: ('0.29539807362846165',), 1333283817: ('0.29539807362846165',), 1333283603: ('0.29539807362846165',), 1333283598: ('0.29539807362846165',), 1333283597: ('0.29539807362846165',), 1333283594: ('0.29539807362846165',), 1333283593: ('0.29539807362846165',), 1333283589: ('0.29539807362846165',), 1333283585: ('0.29539807362846165',), 1333283578: ('0.29539807362846165',), 1333283576: ('0.29539807362846165',), 1333283568: ('0.29539807362846165',)} [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, '2562749') ('4910', '20116173', '1333285261', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285256', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285252', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285245', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285213', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285209', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284970', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284962', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284923', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284856', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284837', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284833', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284677', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284671', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284667', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284665', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284659', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284651', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284555', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284431', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284316', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284312', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284286', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284267', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283852', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283844', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283837', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283832', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283829', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283817', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283603', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283598', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283597', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283594', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283593', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283589', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283585', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283578', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283576', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283568', None, None, None, None, None, '2562749') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 120 time used for this insertion : 0.016711950302124023 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.03560304641723633 time spend to save output : 0.017984390258789062 total time spend for step 5 : 0.05358743667602539 step6:blur_detection Fri Feb 7 10:58:11 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 : 0.011831998825073242 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 : 0.019913196563720703 save missing photos in datou_result : time spend for datou_step_exec : 0.03447270393371582 time spend to save output : 0.03649449348449707 total time spend for step 6 : 0.07096719741821289 step7:brightness Fri Feb 7 10:58:11 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 : 0.011657238006591797 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 : 0.011138200759887695 save missing photos in datou_result : time spend for datou_step_exec : 0.03229236602783203 time spend to save output : 0.027952194213867188 total time spend for step 7 : 0.06024456024169922 step8:send_mail_cod Fri Feb 7 10:58:11 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_10_58_11.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 .imagette201166771738922291 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 .imagette201166781738922293 20116679 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette201166791738922296 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 .imagette201166811738922296 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 .change filename to text .change filename to text .change filename to text .change filename to text .imagette201166821738922299 20116683 change filename to text .change filename to text .imagette201166831738922301 20116685 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 .imagette201166851738922302 20116686 change filename to text .change filename to text .change filename to text .change filename to text .imagette201166861738922304 20116687 imagette201166871738922305 20116688 imagette201166881738922305 20116689 change filename to text .change filename to text .imagette201166891738922305 20116692 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 .imagette201166921738922305 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), '0.29539807362846165') apple ((1333285261, -4.127006896855857, 492609224), (1333285261, -0.1788785255453811, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333285256] : ((1333285256, -3.6564893956495927, 492609224), (1333285256, -0.11900161094630832, 496442774), '0.29539807362846165') apple ((1333285256, -3.6564893956495927, 492609224), (1333285256, -0.11900161094630832, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333285252] : ((1333285252, -3.740803208310945, 492609224), (1333285252, -0.027779699284348362, 2107752395), '0.29539807362846165') apple ((1333285252, -3.740803208310945, 492609224), (1333285252, -0.027779699284348362, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333285245] : ((1333285245, -5.062320364873138, 492609224), (1333285245, -0.00834685779086235, 2107752395), '0.29539807362846165') apple ((1333285245, -5.062320364873138, 492609224), (1333285245, -0.00834685779086235, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333285213] : ((1333285213, -5.799117018133748, 492609224), (1333285213, -0.14957527702934365, 496442774), '0.29539807362846165') apple ((1333285213, -5.799117018133748, 492609224), (1333285213, -0.14957527702934365, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333285209] : ((1333285209, -4.042061843878755, 492609224), (1333285209, -0.29413734735791647, 496442774), '0.29539807362846165') apple ((1333285209, -4.042061843878755, 492609224), (1333285209, -0.29413734735791647, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284970] : ((1333284970, -5.343602831422318, 492609224), (1333284970, 0.06555373359429605, 2107752395), '0.29539807362846165') apple ((1333284970, -5.343602831422318, 492609224), (1333284970, 0.06555373359429605, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284962] : ((1333284962, -4.768674333930834, 492609224), (1333284962, -0.18195644269972802, 496442774), '0.29539807362846165') apple ((1333284962, -4.768674333930834, 492609224), (1333284962, -0.18195644269972802, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284923] : ((1333284923, -4.820558361415022, 492609224), (1333284923, -0.012239403181210381, 2107752395), '0.29539807362846165') apple ((1333284923, -4.820558361415022, 492609224), (1333284923, -0.012239403181210381, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284856] : ((1333284856, -5.100755038973276, 492609224), (1333284856, -0.08370872342129064, 496442774), '0.29539807362846165') apple ((1333284856, -5.100755038973276, 492609224), (1333284856, -0.08370872342129064, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284837] : ((1333284837, -3.9591854252621337, 492609224), (1333284837, -0.14336029287180133, 496442774), '0.29539807362846165') apple ((1333284837, -3.9591854252621337, 492609224), (1333284837, -0.14336029287180133, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284833] : ((1333284833, -4.8712504354770765, 492609224), (1333284833, -0.10681079305026223, 496442774), '0.29539807362846165') apple ((1333284833, -4.8712504354770765, 492609224), (1333284833, -0.10681079305026223, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284677] : ((1333284677, -4.409278980148803, 492609224), (1333284677, -0.05247687208953291, 2107752395), '0.29539807362846165') apple ((1333284677, -4.409278980148803, 492609224), (1333284677, -0.05247687208953291, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284671] : ((1333284671, -3.50123097430282, 492609224), (1333284671, -0.11484876675234199, 496442774), '0.29539807362846165') apple ((1333284671, -3.50123097430282, 492609224), (1333284671, -0.11484876675234199, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284667] : ((1333284667, -5.396312302438203, 492609224), (1333284667, -0.15853281812143716, 496442774), '0.29539807362846165') apple ((1333284667, -5.396312302438203, 492609224), (1333284667, -0.15853281812143716, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284665] : ((1333284665, -3.8959331560692605, 492609224), (1333284665, -0.09513656620997517, 496442774), '0.29539807362846165') apple ((1333284665, -3.8959331560692605, 492609224), (1333284665, -0.09513656620997517, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284659] : ((1333284659, -4.202652850592366, 492609224), (1333284659, 0.029300009651565904, 2107752395), '0.29539807362846165') apple ((1333284659, -4.202652850592366, 492609224), (1333284659, 0.029300009651565904, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284651] : ((1333284651, -5.245744780483324, 492609224), (1333284651, -0.15346971980956334, 496442774), '0.29539807362846165') apple ((1333284651, -5.245744780483324, 492609224), (1333284651, -0.15346971980956334, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284555] : ((1333284555, -4.872081793327342, 492609224), (1333284555, -0.05117849518333684, 2107752395), '0.29539807362846165') apple ((1333284555, -4.872081793327342, 492609224), (1333284555, -0.05117849518333684, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284431] : ((1333284431, -4.304813585732043, 492609224), (1333284431, -0.07816222731002469, 496442774), '0.29539807362846165') apple ((1333284431, -4.304813585732043, 492609224), (1333284431, -0.07816222731002469, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284316] : ((1333284316, -6.156112609719172, 492609224), (1333284316, -0.09623885637895874, 496442774), '0.29539807362846165') apple ((1333284316, -6.156112609719172, 492609224), (1333284316, -0.09623885637895874, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284312] : ((1333284312, -5.055244124026251, 492609224), (1333284312, -0.04835054976849657, 2107752395), '0.29539807362846165') apple ((1333284312, -5.055244124026251, 492609224), (1333284312, -0.04835054976849657, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284286] : ((1333284286, -4.481182628536024, 492609224), (1333284286, -0.12748769301402307, 496442774), '0.29539807362846165') apple ((1333284286, -4.481182628536024, 492609224), (1333284286, -0.12748769301402307, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333284267] : ((1333284267, -4.1711862829085415, 492609224), (1333284267, -0.20157656231767992, 496442774), '0.29539807362846165') apple ((1333284267, -4.1711862829085415, 492609224), (1333284267, -0.20157656231767992, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283852] : ((1333283852, -5.071518525508953, 492609224), (1333283852, -0.011319338482356457, 2107752395), '0.29539807362846165') apple ((1333283852, -5.071518525508953, 492609224), (1333283852, -0.011319338482356457, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283844] : ((1333283844, -3.893005319537466, 492609224), (1333283844, -0.1428615985548375, 496442774), '0.29539807362846165') apple ((1333283844, -3.893005319537466, 492609224), (1333283844, -0.1428615985548375, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283837] : ((1333283837, -4.449028580626286, 492609224), (1333283837, -0.16648909356310895, 496442774), '0.29539807362846165') apple ((1333283837, -4.449028580626286, 492609224), (1333283837, -0.16648909356310895, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283832] : ((1333283832, -4.803054745854171, 492609224), (1333283832, -0.10699136846395747, 496442774), '0.29539807362846165') apple ((1333283832, -4.803054745854171, 492609224), (1333283832, -0.10699136846395747, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283829] : ((1333283829, -4.007767993145182, 492609224), (1333283829, -0.20036478366192045, 496442774), '0.29539807362846165') apple ((1333283829, -4.007767993145182, 492609224), (1333283829, -0.20036478366192045, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283817] : ((1333283817, -4.802653051648554, 492609224), (1333283817, -0.005403608389613378, 2107752395), '0.29539807362846165') apple ((1333283817, -4.802653051648554, 492609224), (1333283817, -0.005403608389613378, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283603] : ((1333283603, -2.542254381695795, 492609224), (1333283603, -0.05131017860030671, 2107752395), '0.29539807362846165') apple ((1333283603, -2.542254381695795, 492609224), (1333283603, -0.05131017860030671, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283598] : ((1333283598, -3.696564609714947, 492609224), (1333283598, -0.15713240592977246, 496442774), '0.29539807362846165') apple ((1333283598, -3.696564609714947, 492609224), (1333283598, -0.15713240592977246, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283597] : ((1333283597, -2.542254381695795, 492609224), (1333283597, -0.05131017860030671, 2107752395), '0.29539807362846165') apple ((1333283597, -2.542254381695795, 492609224), (1333283597, -0.05131017860030671, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283594] : ((1333283594, -4.6667536242210925, 492609224), (1333283594, -0.0762394913298023, 496442774), '0.29539807362846165') apple ((1333283594, -4.6667536242210925, 492609224), (1333283594, -0.0762394913298023, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283593] : ((1333283593, -3.696564609714947, 492609224), (1333283593, -0.15713240592977246, 496442774), '0.29539807362846165') apple ((1333283593, -3.696564609714947, 492609224), (1333283593, -0.15713240592977246, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283589] : ((1333283589, -4.425297831431671, 492609224), (1333283589, 0.0774024678412645, 2107752395), '0.29539807362846165') apple ((1333283589, -4.425297831431671, 492609224), (1333283589, 0.0774024678412645, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283585] : ((1333283585, -4.6667536242210925, 492609224), (1333283585, -0.0762394913298023, 496442774), '0.29539807362846165') apple ((1333283585, -4.6667536242210925, 492609224), (1333283585, -0.0762394913298023, 496442774), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283578] : ((1333283578, -4.686967072012199, 492609224), (1333283578, 0.03799684748668002, 2107752395), '0.29539807362846165') apple ((1333283578, -4.686967072012199, 492609224), (1333283578, 0.03799684748668002, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283576] : ((1333283576, -4.425297831431671, 492609224), (1333283576, 0.0774024678412645, 2107752395), '0.29539807362846165') apple ((1333283576, -4.425297831431671, 492609224), (1333283576, 0.0774024678412645, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com args[1333283568] : ((1333283568, -4.686967072012199, 492609224), (1333283568, 0.03799684748668002, 2107752395), '0.29539807362846165') apple ((1333283568, -4.686967072012199, 492609224), (1333283568, 0.03799684748668002, 2107752395), '0.29539807362846165') We are sending mail with results at kexin@fotonower.com refus_total : 0.29539807362846165 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 1333284665 begin to download photo : 1333284659 download finish for photo 1333284923 begin to download photo : 1333284856 download finish for photo 1333284431 begin to download photo : 1333285261 download finish for photo 1333283576 begin to download photo : 1333283837 download finish for photo 1333284659 begin to download photo : 1333284651 download finish for photo 1333284856 begin to download photo : 1333284833 download finish for photo 1333285261 begin to download photo : 1333285256 download finish for photo 1333283837 begin to download photo : 1333283589 download finish for photo 1333284651 begin to download photo : 1333284316 download finish for photo 1333284833 begin to download photo : 1333284671 download finish for photo 1333283589 begin to download photo : 1333283832 download finish for photo 1333285256 begin to download photo : 1333285252 download finish for photo 1333284671 begin to download photo : 1333284667 download finish for photo 1333284316 begin to download photo : 1333284267 download finish for photo 1333283832 begin to download photo : 1333283829 download finish for photo 1333285252 begin to download photo : 1333285245 download finish for photo 1333284667 download finish for photo 1333284267 download finish for photo 1333283829 download finish for photo 1333285245 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20116173_07-02-2025_10_58_11.pdf results_COD_P20116173_07-02-2025_10_58_11.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20116173_07-02-2025_10_58_11.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_10_58_11.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20116173_07-02-2025_10_58_11.pdf','pdf','','1.3','0.29539807362846165') 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, '2562749') ('4910', '20116173', '1333285261', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285256', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285252', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285245', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285213', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285209', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284970', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284962', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284923', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284856', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284837', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284833', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284677', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284671', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284667', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284665', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284659', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284651', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284555', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284431', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284316', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284312', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284286', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284267', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283852', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283844', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283837', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283832', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283829', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283817', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283603', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283598', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283597', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283594', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283593', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283589', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283585', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283578', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283576', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283568', None, None, None, None, None, '2562749') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 40 time used for this insertion : 0.016509056091308594 save_final save missing photos in datou_result : time spend for datou_step_exec : 20.58780312538147 time spend to save output : 0.016931772232055664 total time spend for step 8 : 20.604734897613525 step9:split_time_score Fri Feb 7 10:58:32 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, '2562749') ('4910', '20116173', '1333285261', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285256', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285252', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285245', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285213', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333285209', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284970', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284962', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284923', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284856', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284837', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284833', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284677', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284671', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284667', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284665', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284659', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284651', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284555', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284431', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284316', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284312', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284286', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333284267', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283852', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283844', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283837', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283832', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283829', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283817', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283603', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283598', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283597', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283594', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283593', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283589', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283585', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283578', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283576', None, None, None, None, None, '2562749') ('4910', None, None, None, None, None, None, None, '2562749') ('4910', '20116173', '1333283568', None, None, None, None, None, '2562749') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 40 time used for this insertion : 0.01634979248046875 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.025585174560546875 time spend to save output : 0.0167086124420166 total time spend for step 9 : 0.04229378700256348 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 7.26user 1.55system 0:48.18elapsed 18%CPU (0avgtext+0avgdata 162244maxresident)k 19608inputs+164872outputs (6major+101230minor)pagefaults 0swaps