python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4910 ' -s datou_current_4910 -M 0 -S 0 -U 95,95,120 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/caffe_cuda8_python3/python', '/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', '/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 : 1500962 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 TODO datou_current to load to do maybe to take outside batchDatouExec no input labels no input values updating current state to 1 list_input_json: {} Current got : datou_id : 4910, datou_cur_ids : ['2599564'] with mtr_portfolio_ids : ['20437770'] and first list_photo_ids : [] new path : /proc/1500962/ 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 , BFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 89 ; length of list_pids : 89 ; length of list_args : 89 time to download the photos : 16.24878764152527 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 Thu Feb 20 11:50:45 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 2586 chid ids of type : 4211 batch 1 Loaded 126 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 124 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 139 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 112 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 116 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 138 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 145 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 128 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 119 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 126 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 117 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 123 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 128 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 125 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 117 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 129 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 136 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 123 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 138 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 113 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 126 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! batch 1 Loaded 81 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 [1336649752, 1336649748, 1336649745, 1336649740, 1336649739, 1336649738, 1336649736, 1336649734, 1336649732, 1336649694, 1336649692, 1336649681, 1336649678, 1336649593, 1336649514, 1336649508, 1336649505, 1336649502, 1336649498, 1336649423, 1336649420, 1336648944, 1336648943, 1336648942, 1336648941, 1336648931, 1336648920, 1336648105, 1336648017, 1336647935, 1336647839, 1336647678, 1336647485, 1336647483, 1336647481, 1336647478, 1336647455, 1336499898, 1336499830, 1336499768, 1336499673, 1336499365, 1336499361, 1336499354, 1336499350, 1336499348, 1336499306, 1336499302, 1336499297, 1336499295, 1336499288, 1336499283, 1336499130, 1336499125, 1336499121, 1336499117, 1336499115, 1336499111, 1336499033, 1336499007, 1336498992, 1336498989, 1336498988, 1336498905, 1336498868, 1336498865, 1336498861, 1336498857, 1336498763, 1336498752, 1336498746, 1336498742, 1336498738, 1336498707, 1336498703, 1336498699, 1336498696, 1336498692, 1336498688, 1336498612, 1336498606, 1336498592, 1336498590, 1336498587, 1336498584, 1336498470, 1336498465, 1336498461, 1336498456] Looping around the photos to save general results len do output : 89 /1336498456Didn't retrieve data . /1336498461Didn't retrieve data . /1336498465Didn't retrieve data . /1336498470Didn't retrieve data . /1336498584Didn't retrieve data . /1336498587Didn't retrieve data . /1336498590Didn't retrieve data . /1336498592Didn't retrieve data . /1336498606Didn't retrieve data . /1336498612Didn't retrieve data . /1336498688Didn't retrieve data . /1336498692Didn't retrieve data . /1336498696Didn't retrieve data . /1336498699Didn't retrieve data . /1336498703Didn't retrieve data . /1336498707Didn't retrieve data . /1336498738Didn't retrieve data . /1336498742Didn't retrieve data . /1336498746Didn't retrieve data . /1336498752Didn't retrieve data . /1336498763Didn't retrieve data . /1336498857Didn't retrieve data . /1336498861Didn't retrieve data . /1336498865Didn't retrieve data . /1336498868Didn't retrieve data . /1336498905Didn't retrieve data . /1336498988Didn't retrieve data . /1336498989Didn't retrieve data . /1336498992Didn't retrieve data . /1336499007Didn't retrieve data . /1336499033Didn't retrieve data . /1336499111Didn't retrieve data . /1336499115Didn't retrieve data . /1336499117Didn't retrieve data . /1336499121Didn't retrieve data . /1336499125Didn't retrieve data . /1336499130Didn't retrieve data . /1336499283Didn't retrieve data . /1336499288Didn't retrieve data . /1336499295Didn't retrieve data . /1336499297Didn't retrieve data . /1336499302Didn't retrieve data . /1336499306Didn't retrieve data . /1336499348Didn't retrieve data . /1336499350Didn't retrieve data . /1336499354Didn't retrieve data . /1336499361Didn't retrieve data . /1336499365Didn't retrieve data . /1336499673Didn't retrieve data . /1336499768Didn't retrieve data . /1336499830Didn't retrieve data . /1336499898Didn't retrieve data . /1336647455Didn't retrieve data . /1336647478Didn't retrieve data . /1336647481Didn't retrieve data . /1336647483Didn't retrieve data . /1336647485Didn't retrieve data . /1336647678Didn't retrieve data . /1336647839Didn't retrieve data . /1336647935Didn't retrieve data . /1336648017Didn't retrieve data . /1336648105Didn't retrieve data . /1336648920Didn't retrieve data . /1336648931Didn't retrieve data . /1336648941Didn't retrieve data . /1336648942Didn't retrieve data . /1336648943Didn't retrieve data . /1336648944Didn't retrieve data . /1336649420Didn't retrieve data . /1336649423Didn't retrieve data . /1336649498Didn't retrieve data . /1336649502Didn't retrieve data . /1336649505Didn't retrieve data . /1336649508Didn't retrieve data . /1336649514Didn't retrieve data . /1336649593Didn't retrieve data . /1336649678Didn't retrieve data . /1336649681Didn't retrieve data . /1336649692Didn't retrieve data . /1336649694Didn't retrieve data . /1336649732Didn't retrieve data . /1336649734Didn't retrieve data . /1336649736Didn't retrieve data . /1336649738Didn't retrieve data . /1336649739Didn't retrieve data . /1336649740Didn't retrieve data . /1336649745Didn't retrieve data . /1336649748Didn't retrieve data . /1336649752Didn'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, '2599564') ('4910', '20437770', '1336649752', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649748', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649745', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649740', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649739', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649738', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649736', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649734', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649732', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649694', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649692', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649681', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649678', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649593', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649514', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649508', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649505', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649502', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649498', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649423', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649420', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648944', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648943', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648942', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648941', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648931', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648920', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648105', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648017', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647935', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647839', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647678', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647485', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647483', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647481', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647478', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647455', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499898', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499830', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499768', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499673', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499365', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499361', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499354', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499350', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499348', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499306', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499302', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499297', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499295', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499288', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499283', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499130', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499125', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499121', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499117', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499115', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499111', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499033', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499007', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498992', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498989', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498988', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498905', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498868', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498865', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498861', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498857', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498763', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498752', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498746', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498742', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498738', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498707', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498703', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498699', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498696', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498692', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498688', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498612', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498606', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498592', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498590', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498587', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498584', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498470', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498465', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498461', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498456', None, None, None, None, None, '2599564') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 178 time used for this insertion : 0.04372239112854004 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.087113380432129 time spend to save output : 0.04630231857299805 total time spend for step 1 : 2.133415699005127 step2:consolidate_hashtags_from_manual_portfolio Thu Feb 20 11:50:48 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 : 20437770 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`=20437770 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','autre')) 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`=20437770 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','autre')) 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=20439253 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 2386 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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=20439254 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 2811 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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=20439255 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=20439256 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 174 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 : 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=20439257 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 786 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 : 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=20439258 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 2805 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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=20439259 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 2664 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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=20439260 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 2615 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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=20439261 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 2361 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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=20439262 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 1073 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : TODO : # On doit donc construire les chi a partir des informations dans les photos filles query : SELECT ph.photo_id FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20439263 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 2127 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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=20439264 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 2485 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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=20439265 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 146 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=20439266 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 522 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=20439267 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 : 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=20439268 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 2033 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the 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=20439269 AND mpp.hide_status=0 ORDER BY ph.size desc batch 1 Loaded 213 chid ids of type : 4211 begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : begin to find the sub_photo_id : To test ! Use context local managing function ! Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : consolidate_hashtags_from_manual_portfolio we use saveGeneral [1336649752, 1336649748, 1336649745, 1336649740, 1336649739, 1336649738, 1336649736, 1336649734, 1336649732, 1336649694, 1336649692, 1336649681, 1336649678, 1336649593, 1336649514, 1336649508, 1336649505, 1336649502, 1336649498, 1336649423, 1336649420, 1336648944, 1336648943, 1336648942, 1336648941, 1336648931, 1336648920, 1336648105, 1336648017, 1336647935, 1336647839, 1336647678, 1336647485, 1336647483, 1336647481, 1336647478, 1336647455, 1336499898, 1336499830, 1336499768, 1336499673, 1336499365, 1336499361, 1336499354, 1336499350, 1336499348, 1336499306, 1336499302, 1336499297, 1336499295, 1336499288, 1336499283, 1336499130, 1336499125, 1336499121, 1336499117, 1336499115, 1336499111, 1336499033, 1336499007, 1336498992, 1336498989, 1336498988, 1336498905, 1336498868, 1336498865, 1336498861, 1336498857, 1336498763, 1336498752, 1336498746, 1336498742, 1336498738, 1336498707, 1336498703, 1336498699, 1336498696, 1336498692, 1336498688, 1336498612, 1336498606, 1336498592, 1336498590, 1336498587, 1336498584, 1336498470, 1336498465, 1336498461, 1336498456] 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 : 89 time used for this insertion : 0.10534453392028809 save_final save missing photos in datou_result : time spend for datou_step_exec : 29.902973413467407 time spend to save output : 0.1058804988861084 total time spend for step 2 : 30.008853912353516 step3:rle_unique_nms_with_priority Thu Feb 20 11:51:18 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array 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 2586 chid ids of type : 4211 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 : 0.03163504600524902 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 : 0.030334949493408203 seulement à utiliser dans la step consolidation batch 1 Loaded 51 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03207135200500488 seulement à utiliser dans la step consolidation batch 1 Loaded 27 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.028134584426879883 seulement à utiliser dans la step consolidation batch 1 Loaded 48 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.034351348876953125 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 : 0.035713911056518555 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 : 0.032117366790771484 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 : 0.031633853912353516 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 : 0.031330108642578125 seulement à utiliser dans la step consolidation batch 1 Loaded 39 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03130340576171875 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 : 0.03552412986755371 seulement à utiliser dans la step consolidation batch 1 Loaded 27 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.029938936233520508 seulement à utiliser dans la step consolidation batch 1 Loaded 39 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03176164627075195 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 : 0.030249357223510742 seulement à utiliser dans la step consolidation batch 1 Loaded 24 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.030971527099609375 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 : 0.03075695037841797 seulement à utiliser dans la step consolidation batch 1 Loaded 42 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03170371055603027 seulement à utiliser dans la step consolidation batch 1 Loaded 26 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0316622257232666 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 : 0.030346393585205078 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 : 0.03022313117980957 seulement à utiliser dans la step consolidation batch 1 Loaded 25 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.028625011444091797 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 : 0.030131101608276367 seulement à utiliser dans la step consolidation batch 1 Loaded 26 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.029636859893798828 seulement à utiliser dans la step consolidation batch 1 Loaded 24 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.029267072677612305 seulement à utiliser dans la step consolidation batch 1 Loaded 26 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.030608654022216797 seulement à utiliser dans la step consolidation batch 1 Loaded 18 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0276186466217041 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 : 0.028115272521972656 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 : 0.02698063850402832 seulement à utiliser dans la step consolidation batch 1 Loaded 27 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.029631614685058594 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 : 0.02965855598449707 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 : 0.027976036071777344 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 : 0.027884244918823242 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 : 0.029837846755981445 seulement à utiliser dans la step consolidation batch 1 Loaded 4 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.024124860763549805 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 : 0.027242422103881836 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 : 0.0291900634765625 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 : 0.03134655952453613 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 : 0.026514053344726562 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 : 0.030010461807250977 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 : 0.027394771575927734 seulement à utiliser dans la step consolidation batch 1 Loaded 24 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03054356575012207 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 : 0.028876304626464844 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 : 0.0296633243560791 seulement à utiliser dans la step consolidation batch 1 Loaded 46 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03156137466430664 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 : 0.03212881088256836 seulement à utiliser dans la step consolidation batch 1 Loaded 24 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03091716766357422 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 : 0.029263019561767578 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 : 0.030133962631225586 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 : 0.034041643142700195 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 : 0.03825497627258301 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 : 0.030145645141601562 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 : 0.03247237205505371 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 : 0.029005765914916992 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 : 0.03025531768798828 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 : 0.028273344039916992 seulement à utiliser dans la step consolidation batch 1 Loaded 27 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.029485464096069336 seulement à utiliser dans la step consolidation batch 1 Loaded 41 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03141474723815918 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 : 0.034227609634399414 seulement à utiliser dans la step consolidation batch 1 Loaded 26 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.029961585998535156 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 : 0.02996349334716797 seulement à utiliser dans la step consolidation batch 1 Loaded 42 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03316140174865723 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 : 0.03288102149963379 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 : 0.030683517456054688 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 : 0.03401684761047363 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 : 0.03262925148010254 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 : 0.03222322463989258 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 : 0.03291130065917969 seulement à utiliser dans la step consolidation batch 1 Loaded 26 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03228282928466797 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 : 0.0306246280670166 seulement à utiliser dans la step consolidation batch 1 Loaded 41 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.034037113189697266 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 : 0.0305178165435791 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 : 0.03324770927429199 seulement à utiliser dans la step consolidation batch 1 Loaded 44 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0370938777923584 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 : 0.03174448013305664 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 : 0.0318450927734375 seulement à utiliser dans la step consolidation batch 1 Loaded 39 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.03136324882507324 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 : 0.030781984329223633 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 : 0.03145790100097656 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 : 0.030182361602783203 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 : 0.0304410457611084 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 : 0.034520864486694336 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 : 0.030264616012573242 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 : 0.029317378997802734 seulement à utiliser dans la step consolidation batch 1 Loaded 52 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.031752824783325195 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 : 0.030866146087646484 seulement à utiliser dans la step consolidation batch 1 Loaded 18 chid ids of type : 4211 Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.02700042724609375 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 : 0.03055119514465332 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 : 0.03380465507507324 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 : 0.0301055908203125 map_output_result : {1336649752: (0.18228730006244312, 'Should be the crop_list due to order', 0.104878514829257), 1336649748: (0.18228730006244312, 'Should be the crop_list due to order', 0.13106935029494862), 1336649745: (0.18228730006244312, 'Should be the crop_list due to order', 0.13308429624899012), 1336649740: (0.18228730006244312, 'Should be the crop_list due to order', 0.07454052997609985), 1336649739: (0.18228730006244312, 'Should be the crop_list due to order', 0.1447481359668444), 1336649738: (0.18228730006244312, 'Should be the crop_list due to order', 0.10302209976713839), 1336649736: (0.18228730006244312, 'Should be the crop_list due to order', 0.1407367832994802), 1336649734: (0.18228730006244312, 'Should be the crop_list due to order', 0.10071338685574521), 1336649732: (0.18228730006244312, 'Should be the crop_list due to order', 0.08958694126569096), 1336649694: (0.18228730006244312, 'Should be the crop_list due to order', 0.09799501305313013), 1336649692: (0.18228730006244312, 'Should be the crop_list due to order', 0.06128797798931835), 1336649681: (0.18228730006244312, 'Should be the crop_list due to order', 0.09261899634264573), 1336649678: (0.18228730006244312, 'Should be the crop_list due to order', 0.14827947217585022), 1336649593: (0.18228730006244312, 'Should be the crop_list due to order', 0.10281932967356079), 1336649514: (0.18228730006244312, 'Should be the crop_list due to order', 0.10332395812907044), 1336649508: (0.18228730006244312, 'Should be the crop_list due to order', 0.0838065835199095), 1336649505: (0.18228730006244312, 'Should be the crop_list due to order', 0.12193246457397464), 1336649502: (0.18228730006244312, 'Should be the crop_list due to order', 0.10399916733390367), 1336649498: (0.18228730006244312, 'Should be the crop_list due to order', 0.09363649043624497), 1336649423: (0.18228730006244312, 'Should be the crop_list due to order', 0.14874117962442127), 1336649420: (0.18228730006244312, 'Should be the crop_list due to order', 0.08655665899701488), 1336648944: (0.18228730006244312, 'Should be the crop_list due to order', 0.0822551479413302), 1336648943: (0.18228730006244312, 'Should be the crop_list due to order', 0.10657913641608636), 1336648942: (0.18228730006244312, 'Should be the crop_list due to order', 0.08400302713101539), 1336648941: (0.18228730006244312, 'Should be the crop_list due to order', 0.07828632814820705), 1336648931: (0.18228730006244312, 'Should be the crop_list due to order', 0.03728873082411702), 1336648920: (0.18228730006244312, 'Should be the crop_list due to order', 0.08584465624763553), 1336648105: (0.18228730006244312, 'Should be the crop_list due to order', 0.6672548987355751), 1336648017: (0.18228730006244312, 'Should be the crop_list due to order', 0.6681493738732693), 1336647935: (0.18228730006244312, 'Should be the crop_list due to order', 0.5296539170314244), 1336647839: (0.18228730006244312, 'Should be the crop_list due to order', 0.7895062071007012), 1336647678: (0.18228730006244312, 'Should be the crop_list due to order', 0.8573305079247521), 1336647485: (0.18228730006244312, 'Should be the crop_list due to order', 0.7165625648498448), 1336647483: (0.18228730006244312, 'Should be the crop_list due to order', 1.0), 1336647481: (0.18228730006244312, 'Should be the crop_list due to order', 0.747380744289429), 1336647478: (0.18228730006244312, 'Should be the crop_list due to order', 0.7813286282403463), 1336647455: (0.18228730006244312, 'Should be the crop_list due to order', 0.6875389159793648), 1336499898: (0.18228730006244312, 'Should be the crop_list due to order', 0.05615563121119502), 1336499830: (0.18228730006244312, 'Should be the crop_list due to order', 0.06367247266172552), 1336499768: (0.18228730006244312, 'Should be the crop_list due to order', 0.08571789409560035), 1336499673: (0.18228730006244312, 'Should be the crop_list due to order', 0.13907676030848903), 1336499365: (0.18228730006244312, 'Should be the crop_list due to order', 0.05723152320414505), 1336499361: (0.18228730006244312, 'Should be the crop_list due to order', 0.09746272892742221), 1336499354: (0.18228730006244312, 'Should be the crop_list due to order', 0.17869986364282195), 1336499350: (0.18228730006244312, 'Should be the crop_list due to order', 0.1395599443106137), 1336499348: (0.18228730006244312, 'Should be the crop_list due to order', 0.05213562604964528), 1336499306: (0.18228730006244312, 'Should be the crop_list due to order', 0.12199078780296176), 1336499302: (0.18228730006244312, 'Should be the crop_list due to order', 0.11816157893780872), 1336499297: (0.18228730006244312, 'Should be the crop_list due to order', 0.15118558848092783), 1336499295: (0.18228730006244312, 'Should be the crop_list due to order', 0.06683004029500418), 1336499288: (0.18228730006244312, 'Should be the crop_list due to order', 0.10326055776454976), 1336499283: (0.18228730006244312, 'Should be the crop_list due to order', 0.08792413783352693), 1336499130: (0.18228730006244312, 'Should be the crop_list due to order', 0.08174106410973185), 1336499125: (0.18228730006244312, 'Should be the crop_list due to order', 0.11151240855430962), 1336499121: (0.18228730006244312, 'Should be the crop_list due to order', 0.0986375266273649), 1336499117: (0.18228730006244312, 'Should be the crop_list due to order', 0.06815747643775905), 1336499115: (0.18228730006244312, 'Should be the crop_list due to order', 0.15424408676256404), 1336499111: (0.18228730006244312, 'Should be the crop_list due to order', 0.12357516172359485), 1336499033: (0.18228730006244312, 'Should be the crop_list due to order', 0.10369953722304064), 1336499007: (0.18228730006244312, 'Should be the crop_list due to order', 0.05565260584964622), 1336498992: (0.18228730006244312, 'Should be the crop_list due to order', 0.12662873278218995), 1336498989: (0.18228730006244312, 'Should be the crop_list due to order', 0.10839616078398744), 1336498988: (0.18228730006244312, 'Should be the crop_list due to order', 0.2067226735829596), 1336498905: (0.18228730006244312, 'Should be the crop_list due to order', 0.14524663520433956), 1336498868: (0.18228730006244312, 'Should be the crop_list due to order', 0.09904936602605567), 1336498865: (0.18228730006244312, 'Should be the crop_list due to order', 0.8532437936986949), 1336498861: (0.18228730006244312, 'Should be the crop_list due to order', 0.1264690308577042), 1336498857: (0.18228730006244312, 'Should be the crop_list due to order', 0.12618948345547), 1336498763: (0.18228730006244312, 'Should be the crop_list due to order', 0.12559231956160932), 1336498752: (0.18228730006244312, 'Should be the crop_list due to order', 0.09018009438892514), 1336498746: (0.18228730006244312, 'Should be the crop_list due to order', 0.08597024596108743), 1336498742: (0.18228730006244312, 'Should be the crop_list due to order', 0.05922429604987308), 1336498738: (0.18228730006244312, 'Should be the crop_list due to order', 0.10307842151353963), 1336498707: (0.18228730006244312, 'Should be the crop_list due to order', 0.10338398673379143), 1336498703: (0.18228730006244312, 'Should be the crop_list due to order', 0.1306268107472399), 1336498699: (0.18228730006244312, 'Should be the crop_list due to order', 0.12299864527571523), 1336498696: (0.18228730006244312, 'Should be the crop_list due to order', 0.0799809892189468), 1336498692: (0.18228730006244312, 'Should be the crop_list due to order', 0.1121822533026844), 1336498688: (0.18228730006244312, 'Should be the crop_list due to order', 0.09621308455009213), 1336498612: (0.18228730006244312, 'Should be the crop_list due to order', 0.08022821904960989), 1336498606: (0.18228730006244312, 'Should be the crop_list due to order', 0.0986690589780681), 1336498592: (0.18228730006244312, 'Should be the crop_list due to order', 0.05524670986486305), 1336498590: (0.18228730006244312, 'Should be the crop_list due to order', 0.09216144512321597), 1336498587: (0.18228730006244312, 'Should be the crop_list due to order', 0.11028842317876043), 1336498584: (0.18228730006244312, 'Should be the crop_list due to order', 0.06264821805822915), 1336498470: (0.18228730006244312, 'Should be the crop_list due to order', 0.02711290207438408), 1336498465: (0.18228730006244312, 'Should be the crop_list due to order', 0.07711517669754722), 1336498461: (0.18228730006244312, 'Should be the crop_list due to order', 0.1436953359017221), 1336498456: (0.18228730006244312, 'Should be the crop_list due to order', 0.0724020750353443)} 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 [1336649752, 1336649748, 1336649745, 1336649740, 1336649739, 1336649738, 1336649736, 1336649734, 1336649732, 1336649694, 1336649692, 1336649681, 1336649678, 1336649593, 1336649514, 1336649508, 1336649505, 1336649502, 1336649498, 1336649423, 1336649420, 1336648944, 1336648943, 1336648942, 1336648941, 1336648931, 1336648920, 1336648105, 1336648017, 1336647935, 1336647839, 1336647678, 1336647485, 1336647483, 1336647481, 1336647478, 1336647455, 1336499898, 1336499830, 1336499768, 1336499673, 1336499365, 1336499361, 1336499354, 1336499350, 1336499348, 1336499306, 1336499302, 1336499297, 1336499295, 1336499288, 1336499283, 1336499130, 1336499125, 1336499121, 1336499117, 1336499115, 1336499111, 1336499033, 1336499007, 1336498992, 1336498989, 1336498988, 1336498905, 1336498868, 1336498865, 1336498861, 1336498857, 1336498763, 1336498752, 1336498746, 1336498742, 1336498738, 1336498707, 1336498703, 1336498699, 1336498696, 1336498692, 1336498688, 1336498612, 1336498606, 1336498592, 1336498590, 1336498587, 1336498584, 1336498470, 1336498465, 1336498461, 1336498456] Looping around the photos to save general results len do output : 89 /1336649752.Didn't retrieve data . /1336649748.Didn't retrieve data . /1336649745.Didn't retrieve data . /1336649740.Didn't retrieve data . /1336649739.Didn't retrieve data . /1336649738.Didn't retrieve data . /1336649736.Didn't retrieve data . /1336649734.Didn't retrieve data . /1336649732.Didn't retrieve data . /1336649694.Didn't retrieve data . /1336649692.Didn't retrieve data . /1336649681.Didn't retrieve data . /1336649678.Didn't retrieve data . /1336649593.Didn't retrieve data . /1336649514.Didn't retrieve data . /1336649508.Didn't retrieve data . /1336649505.Didn't retrieve data . /1336649502.Didn't retrieve data . /1336649498.Didn't retrieve data . /1336649423.Didn't retrieve data . /1336649420.Didn't retrieve data . /1336648944.Didn't retrieve data . /1336648943.Didn't retrieve data . /1336648942.Didn't retrieve data . /1336648941.Didn't retrieve data . /1336648931.Didn't retrieve data . /1336648920.Didn't retrieve data . /1336648105.Didn't retrieve data . /1336648017.Didn't retrieve data . /1336647935.Didn't retrieve data . /1336647839.Didn't retrieve data . /1336647678.Didn't retrieve data . /1336647485.Didn't retrieve data . /1336647483.Didn't retrieve data . /1336647481.Didn't retrieve data . /1336647478.Didn't retrieve data . /1336647455.Didn't retrieve data . /1336499898.Didn't retrieve data . /1336499830.Didn't retrieve data . /1336499768.Didn't retrieve data . /1336499673.Didn't retrieve data . /1336499365.Didn't retrieve data . /1336499361.Didn't retrieve data . /1336499354.Didn't retrieve data . /1336499350.Didn't retrieve data . /1336499348.Didn't retrieve data . /1336499306.Didn't retrieve data . /1336499302.Didn't retrieve data . /1336499297.Didn't retrieve data . /1336499295.Didn't retrieve data . /1336499288.Didn't retrieve data . /1336499283.Didn't retrieve data . /1336499130.Didn't retrieve data . /1336499125.Didn't retrieve data . /1336499121.Didn't retrieve data . /1336499117.Didn't retrieve data . /1336499115.Didn't retrieve data . /1336499111.Didn't retrieve data . /1336499033.Didn't retrieve data . /1336499007.Didn't retrieve data . /1336498992.Didn't retrieve data . /1336498989.Didn't retrieve data . /1336498988.Didn't retrieve data . /1336498905.Didn't retrieve data . /1336498868.Didn't retrieve data . /1336498865.Didn't retrieve data . /1336498861.Didn't retrieve data . /1336498857.Didn't retrieve data . /1336498763.Didn't retrieve data . /1336498752.Didn't retrieve data . /1336498746.Didn't retrieve data . /1336498742.Didn't retrieve data . /1336498738.Didn't retrieve data . /1336498707.Didn't retrieve data . /1336498703.Didn't retrieve data . /1336498699.Didn't retrieve data . /1336498696.Didn't retrieve data . /1336498692.Didn't retrieve data . /1336498688.Didn't retrieve data . /1336498612.Didn't retrieve data . /1336498606.Didn't retrieve data . /1336498592.Didn't retrieve data . /1336498590.Didn't retrieve data . /1336498587.Didn't retrieve data . /1336498584.Didn't retrieve data . /1336498470.Didn't retrieve data . /1336498465.Didn't retrieve data . /1336498461.Didn't retrieve data . /1336498456.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, '2599564') ('4910', '20437770', '1336649752', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649748', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649745', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649740', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649739', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649738', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649736', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649734', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649732', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649694', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649692', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649681', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649678', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649593', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649514', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649508', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649505', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649502', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649498', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649423', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649420', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648944', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648943', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648942', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648941', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648931', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648920', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648105', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648017', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647935', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647839', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647678', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647485', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647483', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647481', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647478', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647455', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499898', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499830', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499768', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499673', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499365', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499361', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499354', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499350', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499348', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499306', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499302', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499297', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499295', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499288', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499283', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499130', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499125', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499121', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499117', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499115', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499111', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499033', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499007', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498992', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498989', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498988', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498905', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498868', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498865', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498861', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498857', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498763', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498752', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498746', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498742', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498738', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498707', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498703', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498699', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498696', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498692', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498688', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498612', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498606', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498592', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498590', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498587', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498584', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498470', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498465', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498461', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498456', None, None, None, None, None, '2599564') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 267 time used for this insertion : 0.02664947509765625 save_final save missing photos in datou_result : time spend for datou_step_exec : 10.562750101089478 time spend to save output : 0.02934408187866211 total time spend for step 3 : 10.59209418296814 step4:ventilate_hashtags_in_portfolio Thu Feb 20 11:51:28 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed 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 : 20437770 get user id for portfolio 20437770 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`=20437770 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','autre')) 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`=20437770 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','autre')) AND mptpi.`min_score`=0.5 To do lien utilise dans velours : https://www.fotonower.com/velours/20439253,20439254,20439255,20439256,20439257,20439258,20439259,20439260,20439261,20439262,20439263,20439264,20439265,20439266,20439267,20439268,20439269?tags=barquette_opaque,papier,textiles_sanitaires,metal,carton,mal_croppe,pehd,pet_opaque,film_plastique,environnement,flou,etiquette,pet_fonce,autre,kraft,pet_clair,ela Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1336649752, 1336649748, 1336649745, 1336649740, 1336649739, 1336649738, 1336649736, 1336649734, 1336649732, 1336649694, 1336649692, 1336649681, 1336649678, 1336649593, 1336649514, 1336649508, 1336649505, 1336649502, 1336649498, 1336649423, 1336649420, 1336648944, 1336648943, 1336648942, 1336648941, 1336648931, 1336648920, 1336648105, 1336648017, 1336647935, 1336647839, 1336647678, 1336647485, 1336647483, 1336647481, 1336647478, 1336647455, 1336499898, 1336499830, 1336499768, 1336499673, 1336499365, 1336499361, 1336499354, 1336499350, 1336499348, 1336499306, 1336499302, 1336499297, 1336499295, 1336499288, 1336499283, 1336499130, 1336499125, 1336499121, 1336499117, 1336499115, 1336499111, 1336499033, 1336499007, 1336498992, 1336498989, 1336498988, 1336498905, 1336498868, 1336498865, 1336498861, 1336498857, 1336498763, 1336498752, 1336498746, 1336498742, 1336498738, 1336498707, 1336498703, 1336498699, 1336498696, 1336498692, 1336498688, 1336498612, 1336498606, 1336498592, 1336498590, 1336498587, 1336498584, 1336498470, 1336498465, 1336498461, 1336498456] Looping around the photos to save general results len do output : 1 /20437770. 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, '2599564') ('4910', '20437770', '1336649752', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649748', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649745', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649740', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649739', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649738', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649736', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649734', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649732', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649694', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649692', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649681', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649678', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649593', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649514', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649508', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649505', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649502', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649498', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649423', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649420', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648944', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648943', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648942', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648941', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648931', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648920', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648105', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648017', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647935', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647839', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647678', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647485', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647483', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647481', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647478', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647455', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499898', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499830', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499768', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499673', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499365', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499361', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499354', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499350', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499348', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499306', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499302', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499297', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499295', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499288', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499283', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499130', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499125', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499121', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499117', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499115', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499111', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499033', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499007', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498992', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498989', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498988', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498905', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498868', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498865', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498861', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498857', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498763', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498752', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498746', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498742', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498738', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498707', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498703', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498699', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498696', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498692', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498688', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498612', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498606', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498592', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498590', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498587', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498584', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498470', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498465', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498461', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498456', None, None, None, None, None, '2599564') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 90 time used for this insertion : 0.03149533271789551 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.6651561260223389 time spend to save output : 0.03230476379394531 total time spend for step 4 : 0.6974608898162842 step5:final Thu Feb 20 11:51:29 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 : {1336649752: ('0.0960428942321967',), 1336649748: ('0.0960428942321967',), 1336649745: ('0.0960428942321967',), 1336649740: ('0.0960428942321967',), 1336649739: ('0.0960428942321967',), 1336649738: ('0.0960428942321967',), 1336649736: ('0.0960428942321967',), 1336649734: ('0.0960428942321967',), 1336649732: ('0.0960428942321967',), 1336649694: ('0.0960428942321967',), 1336649692: ('0.0960428942321967',), 1336649681: ('0.0960428942321967',), 1336649678: ('0.0960428942321967',), 1336649593: ('0.0960428942321967',), 1336649514: ('0.0960428942321967',), 1336649508: ('0.0960428942321967',), 1336649505: ('0.0960428942321967',), 1336649502: ('0.0960428942321967',), 1336649498: ('0.0960428942321967',), 1336649423: ('0.0960428942321967',), 1336649420: ('0.0960428942321967',), 1336648944: ('0.0960428942321967',), 1336648943: ('0.0960428942321967',), 1336648942: ('0.0960428942321967',), 1336648941: ('0.0960428942321967',), 1336648931: ('0.0960428942321967',), 1336648920: ('0.0960428942321967',), 1336648105: ('0.0960428942321967',), 1336648017: ('0.0960428942321967',), 1336647935: ('0.0960428942321967',), 1336647839: ('0.0960428942321967',), 1336647678: ('0.0960428942321967',), 1336647485: ('0.0960428942321967',), 1336647483: ('0.0960428942321967',), 1336647481: ('0.0960428942321967',), 1336647478: ('0.0960428942321967',), 1336647455: ('0.0960428942321967',), 1336499898: ('0.0960428942321967',), 1336499830: ('0.0960428942321967',), 1336499768: ('0.0960428942321967',), 1336499673: ('0.0960428942321967',), 1336499365: ('0.0960428942321967',), 1336499361: ('0.0960428942321967',), 1336499354: ('0.0960428942321967',), 1336499350: ('0.0960428942321967',), 1336499348: ('0.0960428942321967',), 1336499306: ('0.0960428942321967',), 1336499302: ('0.0960428942321967',), 1336499297: ('0.0960428942321967',), 1336499295: ('0.0960428942321967',), 1336499288: ('0.0960428942321967',), 1336499283: ('0.0960428942321967',), 1336499130: ('0.0960428942321967',), 1336499125: ('0.0960428942321967',), 1336499121: ('0.0960428942321967',), 1336499117: ('0.0960428942321967',), 1336499115: ('0.0960428942321967',), 1336499111: ('0.0960428942321967',), 1336499033: ('0.0960428942321967',), 1336499007: ('0.0960428942321967',), 1336498992: ('0.0960428942321967',), 1336498989: ('0.0960428942321967',), 1336498988: ('0.0960428942321967',), 1336498905: ('0.0960428942321967',), 1336498868: ('0.0960428942321967',), 1336498865: ('0.0960428942321967',), 1336498861: ('0.0960428942321967',), 1336498857: ('0.0960428942321967',), 1336498763: ('0.0960428942321967',), 1336498752: ('0.0960428942321967',), 1336498746: ('0.0960428942321967',), 1336498742: ('0.0960428942321967',), 1336498738: ('0.0960428942321967',), 1336498707: ('0.0960428942321967',), 1336498703: ('0.0960428942321967',), 1336498699: ('0.0960428942321967',), 1336498696: ('0.0960428942321967',), 1336498692: ('0.0960428942321967',), 1336498688: ('0.0960428942321967',), 1336498612: ('0.0960428942321967',), 1336498606: ('0.0960428942321967',), 1336498592: ('0.0960428942321967',), 1336498590: ('0.0960428942321967',), 1336498587: ('0.0960428942321967',), 1336498584: ('0.0960428942321967',), 1336498470: ('0.0960428942321967',), 1336498465: ('0.0960428942321967',), 1336498461: ('0.0960428942321967',), 1336498456: ('0.0960428942321967',)} new output for save of step final : {1336649752: ('0.0960428942321967',), 1336649748: ('0.0960428942321967',), 1336649745: ('0.0960428942321967',), 1336649740: ('0.0960428942321967',), 1336649739: ('0.0960428942321967',), 1336649738: ('0.0960428942321967',), 1336649736: ('0.0960428942321967',), 1336649734: ('0.0960428942321967',), 1336649732: ('0.0960428942321967',), 1336649694: ('0.0960428942321967',), 1336649692: ('0.0960428942321967',), 1336649681: ('0.0960428942321967',), 1336649678: ('0.0960428942321967',), 1336649593: ('0.0960428942321967',), 1336649514: ('0.0960428942321967',), 1336649508: ('0.0960428942321967',), 1336649505: ('0.0960428942321967',), 1336649502: ('0.0960428942321967',), 1336649498: ('0.0960428942321967',), 1336649423: ('0.0960428942321967',), 1336649420: ('0.0960428942321967',), 1336648944: ('0.0960428942321967',), 1336648943: ('0.0960428942321967',), 1336648942: ('0.0960428942321967',), 1336648941: ('0.0960428942321967',), 1336648931: ('0.0960428942321967',), 1336648920: ('0.0960428942321967',), 1336648105: ('0.0960428942321967',), 1336648017: ('0.0960428942321967',), 1336647935: ('0.0960428942321967',), 1336647839: ('0.0960428942321967',), 1336647678: ('0.0960428942321967',), 1336647485: ('0.0960428942321967',), 1336647483: ('0.0960428942321967',), 1336647481: ('0.0960428942321967',), 1336647478: ('0.0960428942321967',), 1336647455: ('0.0960428942321967',), 1336499898: ('0.0960428942321967',), 1336499830: ('0.0960428942321967',), 1336499768: ('0.0960428942321967',), 1336499673: ('0.0960428942321967',), 1336499365: ('0.0960428942321967',), 1336499361: ('0.0960428942321967',), 1336499354: ('0.0960428942321967',), 1336499350: ('0.0960428942321967',), 1336499348: ('0.0960428942321967',), 1336499306: ('0.0960428942321967',), 1336499302: ('0.0960428942321967',), 1336499297: ('0.0960428942321967',), 1336499295: ('0.0960428942321967',), 1336499288: ('0.0960428942321967',), 1336499283: ('0.0960428942321967',), 1336499130: ('0.0960428942321967',), 1336499125: ('0.0960428942321967',), 1336499121: ('0.0960428942321967',), 1336499117: ('0.0960428942321967',), 1336499115: ('0.0960428942321967',), 1336499111: ('0.0960428942321967',), 1336499033: ('0.0960428942321967',), 1336499007: ('0.0960428942321967',), 1336498992: ('0.0960428942321967',), 1336498989: ('0.0960428942321967',), 1336498988: ('0.0960428942321967',), 1336498905: ('0.0960428942321967',), 1336498868: ('0.0960428942321967',), 1336498865: ('0.0960428942321967',), 1336498861: ('0.0960428942321967',), 1336498857: ('0.0960428942321967',), 1336498763: ('0.0960428942321967',), 1336498752: ('0.0960428942321967',), 1336498746: ('0.0960428942321967',), 1336498742: ('0.0960428942321967',), 1336498738: ('0.0960428942321967',), 1336498707: ('0.0960428942321967',), 1336498703: ('0.0960428942321967',), 1336498699: ('0.0960428942321967',), 1336498696: ('0.0960428942321967',), 1336498692: ('0.0960428942321967',), 1336498688: ('0.0960428942321967',), 1336498612: ('0.0960428942321967',), 1336498606: ('0.0960428942321967',), 1336498592: ('0.0960428942321967',), 1336498590: ('0.0960428942321967',), 1336498587: ('0.0960428942321967',), 1336498584: ('0.0960428942321967',), 1336498470: ('0.0960428942321967',), 1336498465: ('0.0960428942321967',), 1336498461: ('0.0960428942321967',), 1336498456: ('0.0960428942321967',)} [1336649752, 1336649748, 1336649745, 1336649740, 1336649739, 1336649738, 1336649736, 1336649734, 1336649732, 1336649694, 1336649692, 1336649681, 1336649678, 1336649593, 1336649514, 1336649508, 1336649505, 1336649502, 1336649498, 1336649423, 1336649420, 1336648944, 1336648943, 1336648942, 1336648941, 1336648931, 1336648920, 1336648105, 1336648017, 1336647935, 1336647839, 1336647678, 1336647485, 1336647483, 1336647481, 1336647478, 1336647455, 1336499898, 1336499830, 1336499768, 1336499673, 1336499365, 1336499361, 1336499354, 1336499350, 1336499348, 1336499306, 1336499302, 1336499297, 1336499295, 1336499288, 1336499283, 1336499130, 1336499125, 1336499121, 1336499117, 1336499115, 1336499111, 1336499033, 1336499007, 1336498992, 1336498989, 1336498988, 1336498905, 1336498868, 1336498865, 1336498861, 1336498857, 1336498763, 1336498752, 1336498746, 1336498742, 1336498738, 1336498707, 1336498703, 1336498699, 1336498696, 1336498692, 1336498688, 1336498612, 1336498606, 1336498592, 1336498590, 1336498587, 1336498584, 1336498470, 1336498465, 1336498461, 1336498456] Looping around the photos to save general results len do output : 89 /1336649752.Didn't retrieve data . /1336649748.Didn't retrieve data . /1336649745.Didn't retrieve data . /1336649740.Didn't retrieve data . /1336649739.Didn't retrieve data . /1336649738.Didn't retrieve data . /1336649736.Didn't retrieve data . /1336649734.Didn't retrieve data . /1336649732.Didn't retrieve data . /1336649694.Didn't retrieve data . /1336649692.Didn't retrieve data . /1336649681.Didn't retrieve data . /1336649678.Didn't retrieve data . /1336649593.Didn't retrieve data . /1336649514.Didn't retrieve data . /1336649508.Didn't retrieve data . /1336649505.Didn't retrieve data . /1336649502.Didn't retrieve data . /1336649498.Didn't retrieve data . /1336649423.Didn't retrieve data . /1336649420.Didn't retrieve data . /1336648944.Didn't retrieve data . /1336648943.Didn't retrieve data . /1336648942.Didn't retrieve data . /1336648941.Didn't retrieve data . /1336648931.Didn't retrieve data . /1336648920.Didn't retrieve data . /1336648105.Didn't retrieve data . /1336648017.Didn't retrieve data . /1336647935.Didn't retrieve data . /1336647839.Didn't retrieve data . /1336647678.Didn't retrieve data . /1336647485.Didn't retrieve data . /1336647483.Didn't retrieve data . /1336647481.Didn't retrieve data . /1336647478.Didn't retrieve data . /1336647455.Didn't retrieve data . /1336499898.Didn't retrieve data . /1336499830.Didn't retrieve data . /1336499768.Didn't retrieve data . /1336499673.Didn't retrieve data . /1336499365.Didn't retrieve data . /1336499361.Didn't retrieve data . /1336499354.Didn't retrieve data . /1336499350.Didn't retrieve data . /1336499348.Didn't retrieve data . /1336499306.Didn't retrieve data . /1336499302.Didn't retrieve data . /1336499297.Didn't retrieve data . /1336499295.Didn't retrieve data . /1336499288.Didn't retrieve data . /1336499283.Didn't retrieve data . /1336499130.Didn't retrieve data . /1336499125.Didn't retrieve data . /1336499121.Didn't retrieve data . /1336499117.Didn't retrieve data . /1336499115.Didn't retrieve data . /1336499111.Didn't retrieve data . /1336499033.Didn't retrieve data . /1336499007.Didn't retrieve data . /1336498992.Didn't retrieve data . /1336498989.Didn't retrieve data . /1336498988.Didn't retrieve data . /1336498905.Didn't retrieve data . /1336498868.Didn't retrieve data . /1336498865.Didn't retrieve data . /1336498861.Didn't retrieve data . /1336498857.Didn't retrieve data . /1336498763.Didn't retrieve data . /1336498752.Didn't retrieve data . /1336498746.Didn't retrieve data . /1336498742.Didn't retrieve data . /1336498738.Didn't retrieve data . /1336498707.Didn't retrieve data . /1336498703.Didn't retrieve data . /1336498699.Didn't retrieve data . /1336498696.Didn't retrieve data . /1336498692.Didn't retrieve data . /1336498688.Didn't retrieve data . /1336498612.Didn't retrieve data . /1336498606.Didn't retrieve data . /1336498592.Didn't retrieve data . /1336498590.Didn't retrieve data . /1336498587.Didn't retrieve data . /1336498584.Didn't retrieve data . /1336498470.Didn't retrieve data . /1336498465.Didn't retrieve data . /1336498461.Didn't retrieve data . /1336498456.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, '2599564') ('4910', '20437770', '1336649752', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649748', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649745', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649740', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649739', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649738', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649736', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649734', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649732', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649694', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649692', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649681', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649678', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649593', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649514', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649508', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649505', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649502', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649498', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649423', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649420', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648944', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648943', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648942', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648941', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648931', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648920', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648105', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336648017', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647935', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647839', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647678', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647485', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647483', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647481', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647478', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336647455', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499898', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499830', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499768', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499673', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499365', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499361', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499354', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499350', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499348', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499306', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499302', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499297', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499295', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499288', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499283', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499130', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499125', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499121', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499117', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499115', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499111', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499033', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336499007', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498992', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498989', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498988', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498905', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498868', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498865', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498861', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498857', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498763', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498752', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498746', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498742', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498738', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498707', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498703', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498699', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498696', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498692', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498688', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498612', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498606', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498592', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498590', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498587', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498584', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498470', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498465', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498461', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498456', None, None, None, None, None, '2599564') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 267 time used for this insertion : 0.024107694625854492 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.05072832107543945 time spend to save output : 0.0277099609375 total time spend for step 5 : 0.07843828201293945 step6:blur_detection Thu Feb 20 11:51:29 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 : 89 time used for this insertion : 0.017018556594848633 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 89 time used for this insertion : 0.026887178421020508 save missing photos in datou_result : time spend for datou_step_exec : 0.034424781799316406 time spend to save output : 0.0515134334564209 total time spend for step 6 : 0.0859382152557373 step7:brightness Thu Feb 20 11:51:29 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 : 89 time used for this insertion : 0.015015363693237305 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 89 time used for this insertion : 0.016033649444580078 save missing photos in datou_result : time spend for datou_step_exec : 0.033709049224853516 time spend to save output : 0.03566718101501465 total time spend for step 7 : 0.06937623023986816 step8:send_mail_cod Thu Feb 20 11:51:29 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/workarea/git/Velours/python in order to get the selector url, please entre the license of selector results_COD_P20437770_20-02-2025_11_51_29.pdf 20439254 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 .imagette204392541740048689 20439255 imagette204392551740048692 20439256 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 .imagette204392561740048692 20439257 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 .imagette204392571740048693 20439260 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 .imagette204392601740048696 20439261 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 .imagette204392611740048699 20439265 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette204392651740048702 20439266 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 .imagette204392661740048703 20439267 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 .imagette204392671740048706 20439268 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 .imagette204392681740048707 20439269 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 .imagette204392691740048709 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=20437770 and hashtag_type = 4211 and pcr.hashtag_id = h.hashtag_id; velour_link : https://www.fotonower.com/velours/20439253,20439254,20439255,20439256,20439257,20439258,20439259,20439260,20439261,20439262,20439263,20439264,20439265,20439266,20439267,20439268,20439269?tags=barquette_opaque,papier,textiles_sanitaires,metal,carton,mal_croppe,pehd,pet_opaque,film_plastique,environnement,flou,etiquette,pet_fonce,autre,kraft,pet_clair,ela your option no_mail is active, we will not send the real mail to your client args[1336649752] : ((1336649752, -4.729282197047997, 492609224), (1336649752, 0.04333593421770622, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649748] : ((1336649748, -5.195486887928228, 492609224), (1336649748, 0.028981089925215853, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649745] : ((1336649745, -3.850382332071194, 492609224), (1336649745, 0.019687056680120805, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649740] : ((1336649740, -4.268821806741651, 492609224), (1336649740, 0.0746625621554409, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649739] : ((1336649739, -5.056092151839383, 492609224), (1336649739, -0.06789014385347668, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649738] : ((1336649738, -5.241664129836659, 492609224), (1336649738, 0.048944951733804365, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649736] : ((1336649736, -5.269185147031667, 492609224), (1336649736, -0.1488570480365466, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649734] : ((1336649734, -4.886625721129336, 492609224), (1336649734, -0.06828243259086338, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649732] : ((1336649732, -4.685501921225343, 492609224), (1336649732, -0.06769010282186948, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649694] : ((1336649694, -4.197905495311517, 492609224), (1336649694, -0.15904182263112954, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649692] : ((1336649692, -3.736537362556023, 492609224), (1336649692, -0.22680438168866096, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649681] : ((1336649681, -4.546565478146058, 492609224), (1336649681, -0.3710662564565988, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649678] : ((1336649678, -3.328592100433892, 492609224), (1336649678, 0.024586140296337943, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649593] : ((1336649593, -6.299329022877441, 492609224), (1336649593, -0.0007032161374438841, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649514] : ((1336649514, -4.500519528333807, 492609224), (1336649514, 0.1305813619181228, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649508] : ((1336649508, -4.6489645229917045, 492609224), (1336649508, -0.1909434380235827, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649505] : ((1336649505, -4.259765792240101, 492609224), (1336649505, -0.09538178025840431, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649502] : ((1336649502, -6.046124101136368, 492609224), (1336649502, -0.08577760572146294, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649498] : ((1336649498, -4.559168365985024, 492609224), (1336649498, -0.2157533815708085, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649423] : ((1336649423, -5.292006927594966, 492609224), (1336649423, -0.07504934111452057, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336649420] : ((1336649420, -5.070865492511218, 492609224), (1336649420, -0.03859405787601305, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336648944] : ((1336648944, -4.759823843300079, 492609224), (1336648944, -0.18231171381038147, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336648943] : ((1336648943, -4.251127117097594, 492609224), (1336648943, -0.08242375373609244, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336648942] : ((1336648942, -5.290036388635861, 492609224), (1336648942, -0.30759560887359133, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336648941] : ((1336648941, -3.7920620575712505, 492609224), (1336648941, -0.14766592864686257, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336648931] : ((1336648931, -4.408951422024149, 492609224), (1336648931, -0.10782127770125952, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336648920] : ((1336648920, -4.682638025470694, 492609224), (1336648920, -0.0397093310711829, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336648105] : ((1336648105, -0.7899913192992254, 492688767), (1336648105, -0.08554970655520333, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336648017] : ((1336648017, -4.561575772992566, 492609224), (1336648017, -0.1724480620640539, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336647935] : ((1336647935, -4.256211243252205, 492609224), (1336647935, -0.14933489262298352, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336647839] : ((1336647839, -5.1187571991614815, 492609224), (1336647839, -0.12651610424168158, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336647678] : ((1336647678, -4.986205719656229, 492609224), (1336647678, -0.013243743379569663, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336647485] : ((1336647485, -5.010514979063193, 492609224), (1336647485, 0.00042629015378339136, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336647483] : ((1336647483, -1.063152803910217, 492688767), (1336647483, 0.3404891721502719, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336647481] : ((1336647481, -3.2466472149547574, 492609224), (1336647481, -0.08599225515671631, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336647478] : ((1336647478, -4.655237299319902, 492609224), (1336647478, -0.05631109575246982, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336647455] : ((1336647455, -4.956055345705845, 492609224), (1336647455, -0.15729603186559046, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499898] : ((1336499898, -3.695831122093882, 492609224), (1336499898, -0.4396623111975376, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499830] : ((1336499830, -4.281363825583459, 492609224), (1336499830, -0.20124352618889133, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499768] : ((1336499768, -4.311925527786577, 492609224), (1336499768, -0.09862286485679594, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499673] : ((1336499673, -3.301175571898197, 492609224), (1336499673, -0.0010066367038651012, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499365] : ((1336499365, -3.7103162075498792, 492609224), (1336499365, -0.25755794951350625, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499361] : ((1336499361, -6.101720045144757, 492609224), (1336499361, -0.11016283107295906, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499354] : ((1336499354, -4.28148924873846, 492609224), (1336499354, -0.04492835530902561, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499350] : ((1336499350, -4.7687395127531635, 492609224), (1336499350, -0.2034198505320783, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499348] : ((1336499348, -4.348532007330823, 492609224), (1336499348, -0.21434504548561248, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499306] : ((1336499306, -3.3655039525769457, 492609224), (1336499306, -0.05057046035084546, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499302] : ((1336499302, -4.730564664485847, 492609224), (1336499302, -0.2296243948195215, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499297] : ((1336499297, -6.367089386410088, 492609224), (1336499297, -0.05263378710103453, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499295] : ((1336499295, -4.739739644129274, 492609224), (1336499295, 0.1347226009102557, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499288] : ((1336499288, -4.871367941232965, 492609224), (1336499288, -0.20391083988067626, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499283] : ((1336499283, -4.592112366298084, 492609224), (1336499283, -0.1338383025482076, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499130] : ((1336499130, -4.6891520496617085, 492609224), (1336499130, -0.0747997550335578, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499125] : ((1336499125, -4.657068409864783, 492609224), (1336499125, -0.07921137463869131, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499121] : ((1336499121, -3.872511628478675, 492609224), (1336499121, -0.022730905554896864, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499117] : ((1336499117, -4.436283572203703, 492609224), (1336499117, -0.14397524563331845, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499115] : ((1336499115, -4.943797068253999, 492609224), (1336499115, -0.011957759019919526, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499111] : ((1336499111, -4.623525207673781, 492609224), (1336499111, -0.042254083115181834, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499033] : ((1336499033, -4.581575040560225, 492609224), (1336499033, -0.029168470422295728, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336499007] : ((1336499007, -4.710273661314549, 492609224), (1336499007, -0.11136049049072007, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498992] : ((1336498992, -6.0624995310875125, 492609224), (1336498992, -0.2602551375898073, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498989] : ((1336498989, -4.923814135987556, 492609224), (1336498989, -0.024560584496798012, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498988] : ((1336498988, -4.204374618614197, 492609224), (1336498988, 0.054338700471203094, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498905] : ((1336498905, -3.9165498617595533, 492609224), (1336498905, -0.14914913574559968, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498868] : ((1336498868, -3.1691834153942726, 492609224), (1336498868, -0.0869626200356544, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498865] : ((1336498865, -5.151640496123969, 492609224), (1336498865, 0.15802397731517587, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498861] : ((1336498861, -4.859757893995897, 492609224), (1336498861, -0.04347105327626333, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498857] : ((1336498857, -4.343354319681981, 492609224), (1336498857, 0.04529525174641932, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498763] : ((1336498763, -4.393531454679922, 492609224), (1336498763, 0.0320767239475818, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498752] : ((1336498752, -5.196084575650053, 492609224), (1336498752, -0.06675049712404445, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498746] : ((1336498746, -5.018145225091817, 492609224), (1336498746, 0.05056428328774856, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498742] : ((1336498742, -5.0655055620491565, 492609224), (1336498742, -0.037806045182990806, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498738] : ((1336498738, -4.995674974303809, 492609224), (1336498738, -0.1309068558208002, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498707] : ((1336498707, -5.2260949158758265, 492609224), (1336498707, -0.04760703820321309, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498703] : ((1336498703, -4.20935058053246, 492609224), (1336498703, -0.0357856034917547, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498699] : ((1336498699, -4.568366283244104, 492609224), (1336498699, -0.049600587154920855, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498696] : ((1336498696, -4.597722191779223, 492609224), (1336498696, -0.06524048162008367, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498692] : ((1336498692, -4.0193605517677975, 492609224), (1336498692, -0.11993491723615346, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498688] : ((1336498688, -4.032894306691503, 492609224), (1336498688, -0.1655078181340132, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498612] : ((1336498612, -4.666603107152785, 492609224), (1336498612, 0.07396641275589537, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498606] : ((1336498606, -4.80155814750539, 492609224), (1336498606, 0.08619683168625163, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498592] : ((1336498592, -4.672234814266399, 492609224), (1336498592, 0.027230639419849746, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498590] : ((1336498590, -5.086857136818625, 492609224), (1336498590, -0.09995602864786515, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498587] : ((1336498587, -5.487332351570458, 492609224), (1336498587, 0.05231648184907431, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498584] : ((1336498584, -4.585133690353511, 492609224), (1336498584, 0.011541568007202603, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498470] : ((1336498470, -1.7255603745730295, 492688767), (1336498470, 0.361361414008558, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498465] : ((1336498465, -4.757355532414049, 492609224), (1336498465, -0.0715833966145773, 496442774), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498461] : ((1336498461, -4.639980175877463, 492609224), (1336498461, 0.0923272624385544, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com args[1336498456] : ((1336498456, -4.961862736003031, 492609224), (1336498456, 0.08550245385680684, 2107752395), '0.0960428942321967') We are sending mail with results at kexin@fotonower.com refus_total : 0.0960428942321967 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=20437770 AND mpp.hide_status=0 ORDER BY mpp.order LIMIT 0, 1000 SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (1336499830,1336649734,1336649732,1336649692,1336648941,1336648931,1336648017,1336647935,1336647839,1336647481,1336648942,1336499365,1336499350,1336499348,1336499306,1336499302,1336499297,1336499288,1336499283,1336499125) Found this number of photos: 20 begin to download photo : 1336499830 begin to download photo : 1336648931 begin to download photo : 1336648942 begin to download photo : 1336499302 download finish for photo 1336499302 begin to download photo : 1336499297 download finish for photo 1336648942 begin to download photo : 1336499365 download finish for photo 1336648931 begin to download photo : 1336648017 download finish for photo 1336499830 begin to download photo : 1336649734 download finish for photo 1336499297 begin to download photo : 1336499288 download finish for photo 1336499365 begin to download photo : 1336499350 download finish for photo 1336648017 begin to download photo : 1336647935 download finish for photo 1336649734 begin to download photo : 1336649732 download finish for photo 1336499288 begin to download photo : 1336499283 download finish for photo 1336499350 begin to download photo : 1336499348 download finish for photo 1336649732 begin to download photo : 1336649692 download finish for photo 1336499283 begin to download photo : 1336499125 download finish for photo 1336647935 begin to download photo : 1336647839 download finish for photo 1336499348 begin to download photo : 1336499306 download finish for photo 1336649692 begin to download photo : 1336648941 download finish for photo 1336499125 download finish for photo 1336647839 begin to download photo : 1336647481 download finish for photo 1336648941 download finish for photo 1336499306 download finish for photo 1336647481 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20437770_20-02-2025_11_51_29.pdf results_COD_P20437770_20-02-2025_11_51_29.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20437770_20-02-2025_11_51_29.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','20437770','results_COD_P20437770_20-02-2025_11_51_29.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20437770_20-02-2025_11_51_29.pdf','pdf','','1.34','0.0960428942321967') Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : send_mail_cod we use saveGeneral [1336649752, 1336649748, 1336649745, 1336649740, 1336649739, 1336649738, 1336649736, 1336649734, 1336649732, 1336649694, 1336649692, 1336649681, 1336649678, 1336649593, 1336649514, 1336649508, 1336649505, 1336649502, 1336649498, 1336649423, 1336649420, 1336648944, 1336648943, 1336648942, 1336648941, 1336648931, 1336648920, 1336648105, 1336648017, 1336647935, 1336647839, 1336647678, 1336647485, 1336647483, 1336647481, 1336647478, 1336647455, 1336499898, 1336499830, 1336499768, 1336499673, 1336499365, 1336499361, 1336499354, 1336499350, 1336499348, 1336499306, 1336499302, 1336499297, 1336499295, 1336499288, 1336499283, 1336499130, 1336499125, 1336499121, 1336499117, 1336499115, 1336499111, 1336499033, 1336499007, 1336498992, 1336498989, 1336498988, 1336498905, 1336498868, 1336498865, 1336498861, 1336498857, 1336498763, 1336498752, 1336498746, 1336498742, 1336498738, 1336498707, 1336498703, 1336498699, 1336498696, 1336498692, 1336498688, 1336498612, 1336498606, 1336498592, 1336498590, 1336498587, 1336498584, 1336498470, 1336498465, 1336498461, 1336498456] 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, '2599564') ('4910', '20437770', '1336649752', 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('4910', '20437770', '1336498461', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498456', None, None, None, None, None, '2599564') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 89 time used for this insertion : 1.4873807430267334 save_final save missing photos in datou_result : time spend for datou_step_exec : 26.563467741012573 time spend to save output : 1.4882481098175049 total time spend for step 8 : 28.051715850830078 step9:split_time_score Thu Feb 20 11:51:57 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! complete output_args for input 1 VR 22-3-18 : For now we do not clean correctly the datou structure begin split time score TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}] thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('14', 89),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 10022025 20437770 Nombre de photos uploadées : 89 / 23040 (0%) 10022025 20437770 Nombre de photos taguées (types de déchets): 0 / 89 (0%) 10022025 20437770 Nombre de photos taguées (volume) : 0 / 89 (0%) elapsed_time : load_data_split_time_score 2.384185791015625e-06 elapsed_time : order_list_meta_photo_and_scores 8.344650268554688e-06 ????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.004004955291748047 elapsed_time : insert_dashboard_record_day_entry 0.034743309020996094 We will return after consolidate but for now we need the day, how to get it, for now depending on the previous heavy steps find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423264_11-02-2025_06_49_03.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423264 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423265_11-02-2025_06_56_16.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423265 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423266_11-02-2025_02_34_06.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423266 order by id desc limit 1 Qualite : 0.20770710642474585 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423267 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20423267 AND mptpi.`type`=3594 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423268_11-02-2025_00_42_32.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423268 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423269_12-02-2025_08_02_24.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423269 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423270_12-02-2025_08_05_07.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423270 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20424994_11-02-2025_03_00_11.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20424994 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20424995_11-02-2025_21_14_20.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20424995 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425791_11-02-2025_03_36_12.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425791 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425792_11-02-2025_06_16_00.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425792 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20437741_11-02-2025_10_38_23.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20437741 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425794_13-02-2025_01_28_41.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425794 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425795_11-02-2025_03_40_47.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425795 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20437742_13-02-2025_18_58_11.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20437742 order by id desc limit 1 Qualite : 0.2167945110142823 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425797_11-02-2025_04_43_27.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425797 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20425797 AND mptpi.`type`=3594 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20437743_11-02-2025_11_06_14.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20437743 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20437768_12-02-2025_11_28_54.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20437768 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20437769_13-02-2025_02_06_45.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20437769 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425800_11-02-2025_04_56_54.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425800 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425801_11-02-2025_04_00_32.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425801 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425802_11-02-2025_04_16_13.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425802 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425803_11-02-2025_03_56_30.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425803 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425804_11-02-2025_03_40_32.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425804 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425805_11-02-2025_03_51_39.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425805 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425806_11-02-2025_03_37_55.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425806 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20437770_20-02-2025_11_51_29.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20437770 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20437771_11-02-2025_15_25_01.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20437771 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20424998_11-02-2025_02_23_01.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20424998 order by id desc limit 1 Qualite : 0.23261406703885257 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20424999_11-02-2025_02_41_12.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20424999 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20424999 AND mptpi.`type`=3594 To do Qualite : 0.19914179581765348 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20424312_11-02-2025_01_42_58.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20424312 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20424312 AND mptpi.`type`=3594 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425000_12-02-2025_09_02_12.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425000 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425001_11-02-2025_02_31_48.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425001 order by id desc limit 1 Qualite : 0.2535467764217956 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425002_11-02-2025_02_29_22.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425002 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20425002 AND mptpi.`type`=3594 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20425003_11-02-2025_04_52_29.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20425003 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423278_11-02-2025_01_44_34.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423278 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423279_11-02-2025_01_55_47.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423279 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423280_11-02-2025_01_58_16.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423280 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423281_11-02-2025_00_24_28.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423281 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423282_12-02-2025_08_24_13.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423282 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423283_13-02-2025_00_34_23.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423283 order by id desc limit 1 Qualite : 0.18296439199232933 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423284_11-02-2025_00_27_40.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423284 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20423284 AND mptpi.`type`=3594 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423285_11-02-2025_01_17_32.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423285 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423286_12-02-2025_08_27_10.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423286 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423287_13-02-2025_00_21_11.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423287 order by id desc limit 1 Qualite : 0.19405417404230213 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423288_11-02-2025_00_19_07.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423288 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20423288 AND mptpi.`type`=3594 To do find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423289_11-02-2025_01_03_02.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423289 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423290_11-02-2025_01_58_06.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423290 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423291_11-02-2025_00_23_54.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423291 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423292_11-02-2025_00_13_54.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423292 order by id desc limit 1 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20423293_11-02-2025_00_18_53.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20423293 order by id desc limit 1 NUMBER BATCH : 0 # DISPLAY ALL COLLECTED DATA : {'10022025': {'nb_upload': 89, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1336649752, 1336649748, 1336649745, 1336649740, 1336649739, 1336649738, 1336649736, 1336649734, 1336649732, 1336649694, 1336649692, 1336649681, 1336649678, 1336649593, 1336649514, 1336649508, 1336649505, 1336649502, 1336649498, 1336649423, 1336649420, 1336648944, 1336648943, 1336648942, 1336648941, 1336648931, 1336648920, 1336648105, 1336648017, 1336647935, 1336647839, 1336647678, 1336647485, 1336647483, 1336647481, 1336647478, 1336647455, 1336499898, 1336499830, 1336499768, 1336499673, 1336499365, 1336499361, 1336499354, 1336499350, 1336499348, 1336499306, 1336499302, 1336499297, 1336499295, 1336499288, 1336499283, 1336499130, 1336499125, 1336499121, 1336499117, 1336499115, 1336499111, 1336499033, 1336499007, 1336498992, 1336498989, 1336498988, 1336498905, 1336498868, 1336498865, 1336498861, 1336498857, 1336498763, 1336498752, 1336498746, 1336498742, 1336498738, 1336498707, 1336498703, 1336498699, 1336498696, 1336498692, 1336498688, 1336498612, 1336498606, 1336498592, 1336498590, 1336498587, 1336498584, 1336498470, 1336498465, 1336498461, 1336498456] Looping around the photos to save general results len do output : 1 /20437770Didn'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, '2599564') ('4910', '20437770', '1336649752', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649748', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649745', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336649740', None, None, None, None, None, '2599564') ('4910', None, 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'1336498587', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498584', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498470', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498465', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498461', None, None, None, None, None, '2599564') ('4910', None, None, None, None, None, None, None, '2599564') ('4910', '20437770', '1336498456', None, None, None, None, None, '2599564') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 90 time used for this insertion : 0.02402329444885254 save_final save missing photos in datou_result : time spend for datou_step_exec : 27.757217407226562 time spend to save output : 0.02487945556640625 total time spend for step 9 : 27.78209686279297 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 89 set_done_treatment 13.04user 2.29system 1:59.84elapsed 12%CPU (0avgtext+0avgdata 180312maxresident)k 210760inputs+270480outputs (975major+130661minor)pagefaults 0swaps