python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 8 -a ' -a 4311 ' -s datou_current_4220 -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 : 2626765 load datou : 4311 # 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 ! 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 11939 matching_dashboard is not consistent : 1 used against 0 in the step definition ! Step 11940 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 ! WARNING : type of output 0 of step 11939 doesn't seem to be define in the database( WARNING : type of input 2 of step 11940 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 : None 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 we have a portfolio with more photos than limit : 5550>1000 please execute split_portfolio.py -i 22151747 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4311, datou_cur_ids : ['2735872'] with mtr_portfolio_ids : ['22151747'] and first list_photo_ids : [] new path : /proc/2626765/ 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 ! 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 11939 matching_dashboard is not consistent : 1 used against 0 in the step definition ! ('4311', '22151747', '1350839065', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350839052', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350839040', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838990', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838985', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838981', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838975', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838970', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838965', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838801', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838798', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838780', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838755', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838749', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838747', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838636', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838633', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838625', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838617', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838614', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838610', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838574', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838570', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838567', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838564', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838539', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838510', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838432', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838410', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838367', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838318', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838251', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838248', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838125', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838057', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350838011', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350837986', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350837961', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350837951', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350837922', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350837916', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350837908', None, None, None, None, None, '2735872') ('4311', None, None, None, None, None, None, None, '2735872') ('4311', '22151747', '1350837904', None, None, None, None, None, '2735872') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.03327536582946777 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.8470191955566406 time spend to save output : 0.03443789482116699 total time spend for step 2 : 0.8814570903778076 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 1 set_done_treatment 1.93user 1.39system 0:07.02elapsed 47%CPU (0avgtext+0avgdata 117900maxresident)k 1192inputs+72outputs (49major+67758minor)pagefaults 0swaps