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 : 2627380 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 : ['2600346'] with mtr_portfolio_ids : ['20437770'] and first list_photo_ids : [] new path : /proc/2627380/ 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 : 20.053735733032227 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 17:20:48 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 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, '2600346') ('4910', '20437770', '1336649752', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649748', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649745', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649740', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649739', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649738', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649736', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649734', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649732', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649694', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649692', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649681', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649678', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649593', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649514', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649508', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649505', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649502', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649498', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649423', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649420', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648944', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648943', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648942', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648941', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648931', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648920', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648105', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648017', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647935', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647839', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647678', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647485', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647483', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647481', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647478', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647455', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499898', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499830', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499768', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499673', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499365', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499361', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499354', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499350', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499348', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499306', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499302', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499297', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499295', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499288', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499283', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499130', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499125', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499121', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499117', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499115', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499111', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499033', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499007', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498992', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498989', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498988', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498905', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498868', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498865', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498861', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498857', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498763', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498752', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498746', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498742', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498738', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498707', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498703', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498699', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498696', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498692', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498688', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498612', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498606', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498592', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498590', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498587', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498584', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498470', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498465', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498461', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498456', None, None, None, None, None, '2600346') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 178 time used for this insertion : 0.05530071258544922 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.340827226638794 time spend to save output : 0.057779788970947266 total time spend for step 1 : 2.398607015609741 step2:consolidate_hashtags_from_manual_portfolio Thu Feb 20 17:20:51 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 : 0.04690241813659668 save_final save missing photos in datou_result : time spend for datou_step_exec : 31.614415407180786 time spend to save output : 0.047280073165893555 total time spend for step 2 : 31.66169548034668 step3:rle_unique_nms_with_priority Thu Feb 20 17:21:22 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 : 0.044535160064697266 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 : 0.04088401794433594 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 : 0.03465628623962402 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 : 0.037403106689453125 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 : 0.04248404502868652 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 : 0.04321002960205078 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 : 0.04182934761047363 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 : 0.04160642623901367 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 : 0.046175479888916016 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 : 0.03855443000793457 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 : 0.03998374938964844 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 : 0.03803682327270508 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 : 0.03891921043395996 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 : 0.04044532775878906 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 : 0.04131126403808594 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 : 0.03818964958190918 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 : 0.038831233978271484 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 : 0.039821624755859375 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 : 0.05164980888366699 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 : 0.04467034339904785 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 : 0.039087772369384766 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 : 0.04070734977722168 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 : 0.045720815658569336 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 : 0.04751467704772949 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 : 0.03566932678222656 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 : 0.03609204292297363 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 : 0.03767848014831543 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 : 0.028575420379638672 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 : 0.05864071846008301 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 : 0.045503854751586914 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 : 0.04470396041870117 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 : 0.0318450927734375 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 : 0.04107666015625 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 : 0.0374908447265625 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 : 0.03473782539367676 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 : 0.044161319732666016 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 : 0.042999982833862305 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 : 0.04187488555908203 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 : 0.04320549964904785 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 : 0.04505753517150879 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 : 0.05118989944458008 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 : 0.030377626419067383 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 : 0.046399831771850586 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 : 0.035574913024902344 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 : 0.032259464263916016 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 : 0.04246807098388672 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 : 0.044281005859375 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 : 0.03839683532714844 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 : 0.03261303901672363 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 : 0.046175241470336914 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 : 0.04919743537902832 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 : 0.037772417068481445 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 : 0.034467220306396484 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 : 0.03298044204711914 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 : 0.037029266357421875 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 : 0.042189836502075195 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 : 0.03977775573730469 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 : 0.033751726150512695 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 : 0.03580141067504883 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 : 0.03648495674133301 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 : 0.032216548919677734 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 : 0.032796382904052734 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 : 0.031389474868774414 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 : 0.03422260284423828 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 : 0.03797173500061035 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 : 0.047290802001953125 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 : 0.037598371505737305 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 : 0.036153554916381836 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 : 0.04210376739501953 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 : 0.035773515701293945 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 : 0.03865694999694824 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 : 0.03555893898010254 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 : 0.03966474533081055 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 : 0.04867959022521973 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 : 0.0619654655456543 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 : 0.044606685638427734 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 : 0.03731727600097656 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 : 0.04287862777709961 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 : 0.03639078140258789 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 : 0.04446148872375488 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 : 0.03863644599914551 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 : 0.04161334037780762 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 : 0.03478574752807617 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 : 0.0406343936920166 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 : 0.04517626762390137 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 : 0.03583574295043945 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 : 0.04497694969177246 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 : 0.03788352012634277 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 : 0.044550418853759766 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, '2600346') ('4910', '20437770', '1336649752', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649748', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649745', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649740', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649739', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649738', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649736', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649734', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649732', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649694', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649692', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649681', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649678', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649593', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649514', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649508', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649505', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649502', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649498', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649423', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649420', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648944', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648943', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648942', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648941', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648931', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648920', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648105', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648017', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647935', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647839', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647678', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647485', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647483', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647481', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647478', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647455', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499898', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499830', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499768', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499673', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499365', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499361', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499354', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499350', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499348', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499306', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499302', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499297', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499295', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499288', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499283', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499130', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499125', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499121', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499117', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499115', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499111', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499033', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499007', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498992', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498989', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498988', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498905', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498868', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498865', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498861', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498857', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498763', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498752', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498746', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498742', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498738', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498707', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498703', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498699', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498696', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498692', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498688', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498612', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498606', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498592', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498590', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498587', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498584', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498470', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498465', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498461', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498456', None, None, None, None, None, '2600346') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 267 time used for this insertion : 0.025569677352905273 save_final save missing photos in datou_result : time spend for datou_step_exec : 11.332008123397827 time spend to save output : 0.028089523315429688 total time spend for step 3 : 11.360097646713257 step4:ventilate_hashtags_in_portfolio Thu Feb 20 17:21:34 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, '2600346') ('4910', '20437770', '1336649752', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649748', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649745', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649740', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649739', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649738', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649736', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649734', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649732', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649694', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649692', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649681', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649678', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649593', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649514', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649508', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649505', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649502', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649498', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649423', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649420', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648944', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648943', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648942', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648941', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648931', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648920', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648105', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648017', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647935', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647839', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647678', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647485', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647483', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647481', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647478', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647455', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499898', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499830', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499768', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499673', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499365', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499361', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499354', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499350', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499348', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499306', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499302', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499297', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499295', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499288', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499283', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499130', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499125', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499121', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499117', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499115', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499111', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499033', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499007', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498992', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498989', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498988', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498905', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498868', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498865', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498861', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498857', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498763', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498752', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498746', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498742', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498738', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498707', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498703', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498699', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498696', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498692', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498688', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498612', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498606', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498592', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498590', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498587', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498584', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498470', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498465', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498461', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498456', None, None, None, None, None, '2600346') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 90 time used for this insertion : 0.02862715721130371 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.657991886138916 time spend to save output : 0.029074430465698242 total time spend for step 4 : 0.6870663166046143 step5:final Thu Feb 20 17:21:34 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, '2600346') ('4910', '20437770', '1336649752', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649748', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649745', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649740', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649739', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649738', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649736', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649734', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649732', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649694', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649692', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649681', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649678', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649593', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649514', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649508', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649505', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649502', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649498', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649423', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649420', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648944', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648943', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648942', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648941', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648931', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648920', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648105', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336648017', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647935', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647839', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647678', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647485', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647483', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647481', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647478', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336647455', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499898', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499830', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499768', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499673', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499365', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499361', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499354', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499350', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499348', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499306', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499302', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499297', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499295', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499288', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499283', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499130', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499125', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499121', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499117', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499115', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499111', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499033', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336499007', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498992', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498989', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498988', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498905', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498868', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498865', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498861', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498857', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498763', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498752', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498746', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498742', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498738', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498707', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498703', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498699', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498696', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498692', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498688', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498612', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498606', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498592', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498590', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498587', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498584', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498470', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498465', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498461', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498456', None, None, None, None, None, '2600346') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 267 time used for this insertion : 0.03342938423156738 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.07488489151000977 time spend to save output : 0.035887718200683594 total time spend for step 5 : 0.11077260971069336 step6:blur_detection Thu Feb 20 17:21:35 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 : 0.019663095474243164 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 : 0.03893876075744629 save missing photos in datou_result : time spend for datou_step_exec : 0.05120396614074707 time spend to save output : 0.06875896453857422 total time spend for step 6 : 0.11996293067932129 step7:brightness Thu Feb 20 17:21:35 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 : 0.02385115623474121 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 : 0.013399124145507812 save missing photos in datou_result : time spend for datou_step_exec : 0.0316157341003418 time spend to save output : 0.04574131965637207 total time spend for step 7 : 0.07735705375671387 step8:send_mail_cod Thu Feb 20 17:21:35 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_17_21_35.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 .imagette204392541740068495 20439255 imagette204392551740068499 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 .imagette204392561740068499 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 .imagette204392571740068501 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 .imagette204392601740068503 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 .imagette204392611740068506 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 .imagette204392651740068509 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 .imagette204392661740068510 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 .imagette204392671740068512 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 .imagette204392681740068514 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 .imagette204392691740068516 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 1336648931 begin to download photo : 1336648017 download finish for photo 1336499302 begin to download photo : 1336499297 download finish for photo 1336648942 begin to download photo : 1336499365 download finish for photo 1336499830 begin to download photo : 1336649734 download finish for photo 1336499365 begin to download photo : 1336499350 download finish for photo 1336499297 begin to download photo : 1336499288 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 1336647935 begin to download photo : 1336647839 download finish for photo 1336649692 begin to download photo : 1336648941 download finish for photo 1336499348 begin to download photo : 1336499306 download finish for photo 1336647839 begin to download photo : 1336647481 download finish for photo 1336499283 begin to download photo : 1336499125 download finish for photo 1336499306 download finish for photo 1336499125 download finish for photo 1336647481 download finish for photo 1336648941 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20437770_20-02-2025_17_21_35.pdf results_COD_P20437770_20-02-2025_17_21_35.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20437770_20-02-2025_17_21_35.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_17_21_35.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_COD_P20437770_20-02-2025_17_21_35.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, '2600346') ('4910', '20437770', '1336649752', 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('4910', '20437770', '1336498461', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498456', None, None, None, None, None, '2600346') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 89 time used for this insertion : 0.033059120178222656 save_final save missing photos in datou_result : time spend for datou_step_exec : 27.598522186279297 time spend to save output : 0.03377866744995117 total time spend for step 8 : 27.632300853729248 step9:split_time_score Thu Feb 20 17:22:02 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 6.198883056640625e-06 ????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.003517627716064453 elapsed_time : insert_dashboard_record_day_entry 0.037461042404174805 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_17_21_35.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, '2600346') ('4910', '20437770', '1336649752', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649748', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649745', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649740', None, None, None, None, None, '2600346') ('4910', None, 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None, '2600346') ('4910', '20437770', '1336649681', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649678', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649593', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649514', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649508', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649505', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336649502', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', 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'1336498587', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498584', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498470', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498465', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498461', None, None, None, None, None, '2600346') ('4910', None, None, None, None, None, None, None, '2600346') ('4910', '20437770', '1336498456', None, None, None, None, None, '2600346') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 90 time used for this insertion : 0.08728218078613281 save_final save missing photos in datou_result : time spend for datou_step_exec : 27.121593475341797 time spend to save output : 0.0930778980255127 total time spend for step 9 : 27.21467137336731 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 13.02user 2.27system 2:05.12elapsed 12%CPU (0avgtext+0avgdata 173564maxresident)k 329520inputs+270496outputs (7873major+94365minor)pagefaults 0swaps