python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4189' -s datou_current_4189 -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 : 3239873 load datou : 4189 # 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) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! 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 ? 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 : 4189, datou_cur_ids : ['3652229'] with mtr_portfolio_ids : ['26431482'] and first list_photo_ids : [] new path : /proc/3239873/ 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) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : split_time_score over limit max, limiting to limit_max 100 list_input_json : {} origin We have 1 , WARNING: data may be incomplete, need to offset and complete ! we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.03249669075012207 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Tue Sep 2 15:00:27 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 split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', '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': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('10', 357), ('14', 341)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 644} 02092025 26431482 Nombre de photos uploadées : 698 / 23040 (3%) 02092025 26431482 Nombre de photos taguées (types de déchets): 644 / 698 (92%) 02092025 26431482 Nombre de photos taguées (volume) : 644 / 698 (92%) elapsed_time : load_data_split_time_score 4.76837158203125e-06 elapsed_time : order_list_meta_photo_and_scores 0.00041556358337402344 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL?????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.057334184646606445 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.22515082359313965 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.035275936126708984 Creating list_photo_total elapsed_time : select_descriptors 34.07961297035217 02092025 26431482 Nombre de photos avec descriptors (type 5680) : 644 / 698 (92%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1380799444 photo_id_prec : 0 0:00:00|ON:LL0:01:59.977157|OFF:LLLLLLLLLLLLLLLLLL0:01:59.810406|ON:LL0:02:59.416483|OFF:LLLL0:00:00|ON:LL0:05:00.742204|OFF:LLLLLL0:00:00|ON:LL0:01:59.600296|OFF:LL0:00:00|ON:LL0:04:00.357019|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:02:59.479488|ON:LL0:00:59.812011|OFF:LLLLLLLL0:01:00.923138|ON:LL0:04:59.964059|OFF:0:00:00|ON:LL0:01:59.535825|OFF:LL0:00:00|ON:LL0:11:00.186441|OFF:LLLLLL0:00:59.862992|ON:LL0:00:00|OFF:0:00:59.886924|ON:LL0:01:59.680365|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL3:15:00.867082|ON:LL0:00:00|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1380852044 photo_id_prec : 1380852008 L0:46:59.651170|ON:Missing descriptors for photos 1380852044 and 1380852047 LMissing descriptors for photos 1380852047 and 1380852052 LMissing descriptors for photos 1380852052 and 1380852060 LMissing descriptors for photos 1380852060 and 1380852062 LMissing descriptors for photos 1380852062 and 1380852064 LMissing descriptors for photos 1380852064 and 1380852093 LMissing descriptors for photos 1380852093 and 1380852096 LMissing descriptors for photos 1380852096 and 1380852103 LMissing descriptors for photos 1380852103 and 1380852117 LMissing descriptors for photos 1380852117 and 1380852123 LMissing descriptors for photos 1380852123 and 1380852125 LMissing descriptors for photos 1380852125 and 1380852153 LMissing descriptors for photos 1380852153 and 1380852156 LMissing descriptors for photos 1380852156 and 1380852158 LMissing descriptors for photos 1380852158 and 1380852167 LMissing descriptors for photos 1380852167 and 1380852168 LMissing descriptors for photos 1380852168 and 1380852169 LMissing descriptors for photos 1380852169 and 1380852206 LMissing descriptors for photos 1380852206 and 1380852209 LMissing descriptors for photos 1380852209 and 1380852212 LMissing descriptors for photos 1380852212 and 1380852226 LMissing descriptors for photos 1380852226 and 1380852229 LMissing descriptors for photos 1380852229 and 1380852230 LMissing descriptors for photos 1380852230 and 1380852263 LMissing descriptors for photos 1380852263 and 1380852267 LMissing descriptors for photos 1380852267 and 1380852269 LMissing descriptors for photos 1380852269 and 1380852277 LMissing descriptors for photos 1380852277 and 1380852278 LMissing descriptors for photos 1380852278 and 1380852279 LMissing descriptors for photos 1380852279 and 1380852317 LMissing descriptors for photos 1380852317 and 1380852320 LMissing descriptors for photos 1380852320 and 1380852322 LMissing descriptors for photos 1380852322 and 1380852329 LMissing descriptors for photos 1380852329 and 1380852331 LMissing descriptors for photos 1380852331 and 1380852333 LMissing descriptors for photos 1380852333 and 1380852367 LMissing descriptors for photos 1380852367 and 1380852373 LMissing descriptors for photos 1380852373 and 1380852376 LMissing descriptors for photos 1380852376 and 1380852377 LMissing descriptors for photos 1380852377 and 1380852378 LMissing descriptors for photos 1380852378 and 1380852387 LMissing descriptors for photos 1380852387 and 1380852420 LMissing descriptors for photos 1380852420 and 1380852438 LMissing descriptors for photos 1380852438 and 1380852441 LMissing descriptors for photos 1380852441 and 1380852443 LMissing descriptors for photos 1380852443 and 1380852445 LMissing descriptors for photos 1380852445 and 1380852454 LMissing descriptors for photos 1380852454 and 1380852480 LMissing descriptors for photos 1380852480 and 1380852489 LMissing descriptors for photos 1380852489 and 1380852490 LMissing descriptors for photos 1380852490 and 1380852491 LMissing descriptors for photos 1380852491 and 1380852492 LMissing descriptors for photos 1380852492 and 1380852501 L 02092025 Removing 424 photos because of the 'same image' condition Total on : 2219.27186 list_time_on Total off : 15000.481200000002 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 698 time used for this insertion : 0.10382580757141113 photos_removed : len 424 elapsed_time : remove_photo_duplicate 0.1787261962890625 To do, maybe not at the correct place ! .................L.L.L.L.L.L.L.L.L.L...................L.L.L...........................L.L.L.L........L.L.........................L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L......L.L.L.L.L............................L.............L.L..................................................................L.L.L.L.....L................L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.028053760528564453 NUMBER BATCH : 6 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] result_one_balle_Type_JRM:{'day': '02092025', 'map_nb_amount': {0: 9, 1: 55, 2: 7, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.5465459823608, 'nb_balles_papier': 0.0007100000000000012, 'begin_time_port': 'image_02092025_10_00_02_974222m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007100000000000012 result_one_balle_Type_JRM:{'day': '02092025', 'map_nb_amount': {0: 5, 1: 48, 2: 10, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 840.3894472122192, 'nb_balles_papier': 0.000630000000000001, 'begin_time_port': 'image_02092025_10_15_02_353953m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.000630000000000001 result_one_balle_Type_JRM:{'day': '02092025', 'map_nb_amount': {0: 12, 1: 63, 2: 7, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.8338139057159, 'nb_balles_papier': 0.0008200000000000015, 'begin_time_port': 'image_02092025_10_30_02_592308m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0008200000000000015 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! We have rejected 4 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 3 list_same_port_ids : [26436145] find same portfolio which already exist 26436145 , we will use it list_same_port_ids : [26436146] find same portfolio which already exist 26436146 , we will use it list_same_port_ids : [26435574] find same portfolio which already exist 26435574 , we will use it Qualite : 0.10768340653567689 # 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 ! 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 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! 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 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 have datatype=2 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`=26436145 AND mptpi.`type`=3726 To do Qualite : 0.1050195877969395 # 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 ! 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 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! 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 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 have datatype=2 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`=26436146 AND mptpi.`type`=3726 To do Qualite : 0.12328913603900578 # 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 ! 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 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! 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 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 have datatype=2 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`=26435574 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.33742451667785645 # DISPLAY ALL COLLECTED DATA : {'02092025': {'nb_upload': 698, 'nb_taggue_class': 644, 'nb_taggue_densite': 644, 'nb_descriptors': 644}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1380852501, 1380852492, 1380852491, 1380852490, 1380852489, 1380852480, 1380852454, 1380852445, 1380852443, 1380852441, 1380852438, 1380852420, 1380852387, 1380852378, 1380852377, 1380852376, 1380852373, 1380852367, 1380852333, 1380852331, 1380852329, 1380852322, 1380852320, 1380852317, 1380852279, 1380852278, 1380852277, 1380852269, 1380852267, 1380852263, 1380852230, 1380852229, 1380852226, 1380852212, 1380852209, 1380852206, 1380852169, 1380852168, 1380852167, 1380852158, 1380852156, 1380852153, 1380852125, 1380852123, 1380852117, 1380852103, 1380852096, 1380852093, 1380852064, 1380852062, 1380852060, 1380852052, 1380852047, 1380852044, 1380852008, 1380852006, 1380851997, 1380851978, 1380851971, 1380851966, 1380851938, 1380851937, 1380851936, 1380851927, 1380851923, 1380851918, 1380851891, 1380851889, 1380851886, 1380851877, 1380851872, 1380851853, 1380851815, 1380851814, 1380851813, 1380851805, 1380851800, 1380851796, 1380851765, 1380851761, 1380851755, 1380851743, 1380851734, 1380851730, 1380851694, 1380851693, 1380851692, 1380851684, 1380851682, 1380851678, 1380851647, 1380851646, 1380851640, 1380851631, 1380851629, 1380851626, 1380851583, 1380851582, 1380851581, 1380851574] Looping around the photos to save general results len do output : 1 /26431482Didn'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 ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852501', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852492', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852491', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852490', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852489', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852480', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852454', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852445', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852443', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852441', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852438', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852420', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852387', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852378', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852377', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852376', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852373', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852367', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852333', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852331', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852329', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852322', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852320', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852317', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852279', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852278', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852277', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852269', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852267', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852263', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852230', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852229', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852226', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852212', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852209', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852206', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852169', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852168', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852167', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852158', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852156', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852153', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852125', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852123', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852117', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852103', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852096', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852093', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380852064', None, None, None, None, None, '3652229') ('4189', None, None, 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'26431482', '1380851640', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380851631', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380851629', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380851626', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380851583', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380851582', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380851581', None, None, None, None, None, '3652229') ('4189', None, None, None, None, None, None, None, '3652229') ('4189', '26431482', '1380851574', None, None, None, None, None, '3652229') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.02563643455505371 save_final save missing photos in datou_result : time spend for datou_step_exec : 35.17065787315369 time spend to save output : 0.026575803756713867 total time spend for step 1 : 35.1972336769104 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 3.15user 0.68system 0:37.43elapsed 10%CPU (0avgtext+0avgdata 107840maxresident)k 144inputs+5256outputs (0major+50473minor)pagefaults 0swaps