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 : 2543764 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 : ['3651027'] with mtr_portfolio_ids : ['26431482'] and first list_photo_ids : [] new path : /proc/2543764/ 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 : 0.020394086837768555 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 10:30:27 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', 167),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 100} L02092025 26431482 Nombre de photos uploadées : 167 / 23040 (0%) 02092025 26431482 Nombre de photos taguées (types de déchets): 100 / 167 (59%) 02092025 26431482 Nombre de photos taguées (volume) : 100 / 167 (59%) elapsed_time : load_data_split_time_score 1.6689300537109375e-06 elapsed_time : order_list_meta_photo_and_scores 4.9591064453125e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL??????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.009335041046142578 LCatched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.2518336772918701 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 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 0.021433353424072266 Creating list_photo_total elapsed_time : select_descriptors 5.546576976776123 02092025 26431482 Nombre de photos avec descriptors (type 5680) : 100 / 167 (59%) Missing descriptors for photos 0 and 1380799444 L0:00:00|ON:Missing descriptors for photos 1380799444 and 1380799455 LMissing descriptors for photos 1380799455 and 1380799462 LMissing descriptors for photos 1380799462 and 1380799467 LMissing descriptors for photos 1380799467 and 1380799470 LMissing descriptors for photos 1380799470 and 1380799623 LMissing descriptors for photos 1380799623 and 1380799671 LMissing descriptors for photos 1380799671 and 1380799710 LMissing descriptors for photos 1380799710 and 1380799748 LMissing descriptors for photos 1380799748 and 1380799789 LMissing descriptors for photos 1380799789 and 1380799824 LMissing descriptors for photos 1380799824 and 1380799974 LMissing descriptors for photos 1380799974 and 1380799978 LMissing descriptors for photos 1380799978 and 1380799981 LMissing descriptors for photos 1380799981 and 1380799983 LMissing descriptors for photos 1380799983 and 1380799985 LMissing descriptors for photos 1380799985 and 1380799991 LMissing descriptors for photos 1380799991 and 1380800041 LMissing descriptors for photos 1380800041 and 1380800043 LMissing descriptors for photos 1380800043 and 1380800044 LMissing descriptors for photos 1380800044 and 1380800045 LMissing descriptors for photos 1380800045 and 1380800046 LMissing descriptors for photos 1380800046 and 1380800054 LMissing descriptors for photos 1380800054 and 1380800089 LMissing descriptors for photos 1380800089 and 1380800091 LMissing descriptors for photos 1380800091 and 1380800093 LMissing descriptors for photos 1380800093 and 1380800095 LMissing descriptors for photos 1380800095 and 1380800097 LMissing descriptors for photos 1380800097 and 1380800106 LMissing descriptors for photos 1380800106 and 1380800143 LMissing descriptors for photos 1380800143 and 1380800146 LMissing descriptors for photos 1380800146 and 1380800147 LMissing descriptors for photos 1380800147 and 1380800148 LMissing descriptors for photos 1380800148 and 1380800149 LMissing descriptors for photos 1380800149 and 1380800152 LMissing descriptors for photos 1380800152 and 1380800185 LMissing descriptors for photos 1380800185 and 1380800186 LERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1380800187 photo_id_prec : 1380800186 LLLLLLLLL0:06:59.204046|OFF:LLLLL0:00:00|ON:LLLLLLLLLLLLLLLLLLLLLLLLLLL0:05:00.742204|OFF:LLLLLLL0:00:00|ON:LLLLLLLL0:01:59.600296|OFF:LLL0:00:00|ON:LLLLLLLLLLLLLLLLLLLLLLLLL0:04:00.357019|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:02:59.479488|ON:LLLLLL0:00:59.812011|OFF:ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1380803608 photo_id_prec : 1380803592 L0:00:00|ON:Missing descriptors for photos 1380803608 and 1380803617 LMissing descriptors for photos 1380803617 and 1380803622 LMissing descriptors for photos 1380803622 and 1380803627 LMissing descriptors for photos 1380803627 and 1380803630 LMissing descriptors for photos 1380803630 and 1380803637 LMissing descriptors for photos 1380803637 and 1380803768 LMissing descriptors for photos 1380803768 and 1380803787 LMissing descriptors for photos 1380803787 and 1380803796 LMissing descriptors for photos 1380803796 and 1380803819 LMissing descriptors for photos 1380803819 and 1380803821 LMissing descriptors for photos 1380803821 and 1380803848 LMissing descriptors for photos 1380803848 and 1380804078 LMissing descriptors for photos 1380804078 and 1380804141 LMissing descriptors for photos 1380804141 and 1380804209 LMissing descriptors for photos 1380804209 and 1380804252 LMissing descriptors for photos 1380804252 and 1380804287 LMissing descriptors for photos 1380804287 and 1380804331 LMissing descriptors for photos 1380804331 and 1380804438 LMissing descriptors for photos 1380804438 and 1380804446 LMissing descriptors for photos 1380804446 and 1380804473 LMissing descriptors for photos 1380804473 and 1380804477 LMissing descriptors for photos 1380804477 and 1380804493 LMissing descriptors for photos 1380804493 and 1380804503 LMissing descriptors for photos 1380804503 and 1380804553 LMissing descriptors for photos 1380804553 and 1380804558 LMissing descriptors for photos 1380804558 and 1380804565 LMissing descriptors for photos 1380804565 and 1380804593 LMissing descriptors for photos 1380804593 and 1380804633 LMissing descriptors for photos 1380804633 and 1380804671 L 02092025 Removing 31 photos because of the 'same image' condition Total on : 1139.7155759999998 list_time_on Total off : 179.479488 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 167 time used for this insertion : 0.03942370414733887 photos_removed : len 31 elapsed_time : remove_photo_duplicate 0.07477951049804688 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.011149406433105469 NUMBER BATCH : 2 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLresult_one_balle_Type_JRM:{'day': '02092025', 'map_nb_amount': {0: 7, 1: 33, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.5465459823608, 'nb_balles_papier': 0.0004400000000000005, 'begin_time_port': 'image_02092025_10_00_02_974222_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004400000000000005 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info LLresult_one_balle_Type_JRM:{'day': '02092025', 'map_nb_amount': {0: 0, 1: 20, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 719.9247481822968, 'nb_balles_papier': 0.00025, 'begin_time_port': 'image_02092025_10_15_02_353953_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00025 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 2 list_same_port_ids : [] list_same_port_ids : [] # 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`=26432840 AND mptpi.`type`=3726 To do # 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`=26432842 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 4.7198803424835205 # DISPLAY ALL COLLECTED DATA : {'02092025': {'nb_upload': 167, 'nb_taggue_class': 100, 'nb_taggue_densite': 100, 'nb_descriptors': 100}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1380804671, 1380804633, 1380804593, 1380804565, 1380804558, 1380804553, 1380804503, 1380804493, 1380804477, 1380804473, 1380804446, 1380804438, 1380804331, 1380804287, 1380804252, 1380804209, 1380804141, 1380804078, 1380803848, 1380803821, 1380803819, 1380803796, 1380803787, 1380803768, 1380803637, 1380803630, 1380803627, 1380803622, 1380803617, 1380803608, 1380803592, 1380803585, 1380803582, 1380803578, 1380803573, 1380803562, 1380803539, 1380803534, 1380803530, 1380803528, 1380803523, 1380803507, 1380803490, 1380803481, 1380803479, 1380803477, 1380803472, 1380803458, 1380803430, 1380803429, 1380803420, 1380803416, 1380803406, 1380803396, 1380803360, 1380803356, 1380803352, 1380803332, 1380803321, 1380803303, 1380803184, 1380803149, 1380803111, 1380803068, 1380803021, 1380802973, 1380802882, 1380802879, 1380802873, 1380802858, 1380802855, 1380802852, 1380802802, 1380802763, 1380802735, 1380802695, 1380802691, 1380802676, 1380802626, 1380802614, 1380802574, 1380802563, 1380802559, 1380802525, 1380802443, 1380802416, 1380802375, 1380802358, 1380802348, 1380802332, 1380802251, 1380802244, 1380802209, 1380802166, 1380802158, 1380802144, 1380802122, 1380802113, 1380802061, 1380802045] 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, '3651027') ('4189', '26431482', '1380804671', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804633', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804593', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804565', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804558', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804553', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804503', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804493', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804477', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804473', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804446', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804438', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804331', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804287', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804252', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804209', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804141', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380804078', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803848', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803821', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803819', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803796', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803787', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803768', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803637', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803630', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803627', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803622', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803617', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803608', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803592', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803585', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803582', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803578', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803573', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803562', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803539', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803534', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803530', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803528', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803523', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803507', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803490', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803481', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803479', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803477', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803472', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803458', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803430', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803429', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803420', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803416', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803406', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803396', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803360', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803356', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803352', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803332', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803321', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803303', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803184', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803149', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803111', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803068', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380803021', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802973', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802882', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802879', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802873', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802858', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802855', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802852', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802802', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802763', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802735', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802695', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802691', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802676', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802626', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802614', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802574', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802563', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802559', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802525', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802443', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802416', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802375', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802358', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802348', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802332', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802251', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802244', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802209', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802166', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802158', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802144', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802122', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802113', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802061', None, None, None, None, None, '3651027') ('4189', None, None, None, None, None, None, None, '3651027') ('4189', '26431482', '1380802045', None, None, None, None, None, '3651027') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.028722286224365234 save_final save missing photos in datou_result : time spend for datou_step_exec : 10.737189769744873 time spend to save output : 0.029704570770263672 total time spend for step 1 : 10.766894340515137 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 1.97user 0.59system 0:13.27elapsed 19%CPU (0avgtext+0avgdata 104352maxresident)k 104inputs+896outputs (12major+49509minor)pagefaults 0swaps