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 : 3508597 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 : ['3371419'] with mtr_portfolio_ids : ['25395828'] and first list_photo_ids : [] new path : /proc/3508597/ 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 : 0.022179126739501953 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Jul 28 13:00:29 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec 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', 145),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 120} L28072025 25395828 Nombre de photos uploadées : 145 / 23040 (0%) 28072025 25395828 Nombre de photos taguées (types de déchets): 120 / 145 (82%) 28072025 25395828 Nombre de photos taguées (volume) : 120 / 145 (82%) elapsed_time : load_data_split_time_score 3.814697265625e-06 elapsed_time : order_list_meta_photo_and_scores 6.389617919921875e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.008217334747314453 LCatched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.22512578964233398 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 elapsed_time : list_photo_by_hashtags 0.031984567642211914 Creating list_photo_total elapsed_time : select_descriptors 3.091766595840454 28072025 25395828 Nombre de photos avec descriptors (type 5680) : 54 / 79 (68%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1374121366 photo_id_prec : 0 L0:00:00|ON:LLL0:00:00|OFF:L0:00:00|ON:LLLLLLLLLLLLLLLLLLLLLLLMissing descriptors for photos 1374122935 and 1374122936 LMissing descriptors for photos 1374122936 and 1374122938 LMissing descriptors for photos 1374122938 and 1374122943 LMissing descriptors for photos 1374122943 and 1374123175 LMissing descriptors for photos 1374123175 and 1374123188 LMissing descriptors for photos 1374123188 and 1374123191 LMissing descriptors for photos 1374123191 and 1374123198 LMissing descriptors for photos 1374123198 and 1374123204 LLLMissing descriptors for photos 1374123456 and 1374123459 LMissing descriptors for photos 1374123459 and 1374123466 LMissing descriptors for photos 1374123466 and 1374123470 LMissing descriptors for photos 1374123470 and 1374123473 LMissing descriptors for photos 1374123473 and 1374123480 LMissing descriptors for photos 1374123480 and 1374124214 LMissing descriptors for photos 1374124214 and 1374124285 LMissing descriptors for photos 1374124285 and 1374124371 LMissing descriptors for photos 1374124371 and 1374124441 LMissing descriptors for photos 1374124441 and 1374125821 LMissing descriptors for photos 1374125821 and 1374125826 LMissing descriptors for photos 1374125826 and 1374125833 LMissing descriptors for photos 1374125833 and 1374125841 LMissing descriptors for photos 1374125841 and 1374125846 LMissing descriptors for photos 1374125846 and 1374125849 LMissing descriptors for photos 1374125849 and 1374126996 LMissing descriptors for photos 1374126996 and 1374127001 LMissing descriptors for photos 1374127001 and 1374127006 LMissing descriptors for photos 1374127006 and 1374127011 LMissing descriptors for photos 1374127011 and 1374127012 LMissing descriptors for photos 1374127012 and 1374127013 LMissing descriptors for photos 1374127013 and 1374127257 LMissing descriptors for photos 1374127257 and 1374127260 LMissing descriptors for photos 1374127260 and 1374127262 LMissing descriptors for photos 1374127262 and 1374127263 LMissing descriptors for photos 1374127263 and 1374127266 LMissing descriptors for photos 1374127266 and 1374127283 LMissing descriptors for photos 1374127283 and 1374127597 LMissing descriptors for photos 1374127597 and 1374127600 LMissing descriptors for photos 1374127600 and 1374127602 LMissing descriptors for photos 1374127602 and 1374127605 LMissing descriptors for photos 1374127605 and 1374127608 LMissing descriptors for photos 1374127608 and 1374127627 LMissing descriptors for photos 1374127627 and 1374128893 LMissing descriptors for photos 1374128893 and 1374128898 LMissing descriptors for photos 1374128898 and 1374128909 LMissing descriptors for photos 1374128909 and 1374128920 LMissing descriptors for photos 1374128920 and 1374128927 LMissing descriptors for photos 1374128927 and 1374128934 LMissing descriptors for photos 1374128934 and 1374130606 LMissing descriptors for photos 1374130606 and 1374130629 LMissing descriptors for photos 1374130629 and 1374130691 LMissing descriptors for photos 1374130691 and 1374130745 LMissing descriptors for photos 1374130745 and 1374130754 LMissing descriptors for photos 1374130754 and 1374130760 LMissing descriptors for photos 1374130760 and 1374133232 LMissing descriptors for photos 1374133232 and 1374133276 LMissing descriptors for photos 1374133276 and 1374133324 LMissing descriptors for photos 1374133324 and 1374133369 LMissing descriptors for photos 1374133369 and 1374133408 LMissing descriptors for photos 1374133408 and 1374133418 LMissing descriptors for photos 1374133418 and 1374133815 LMissing descriptors for photos 1374133815 and 1374133864 LMissing descriptors for photos 1374133864 and 1374136568 LMissing descriptors for photos 1374136568 and 1374136572 LMissing descriptors for photos 1374136572 and 1374136576 LLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1374142527 photo_id_prec : 1374141916 LMissing descriptors for photos 1374142527 and 1374142533 LMissing descriptors for photos 1374142533 and 1374142550 LMissing descriptors for photos 1374142550 and 1374142554 LMissing descriptors for photos 1374142554 and 1374142558 LMissing descriptors for photos 1374142558 and 1374142561 LMissing descriptors for photos 1374142561 and 1374143776 LMissing descriptors for photos 1374143776 and 1374143786 LMissing descriptors for photos 1374143786 and 1374143788 LMissing descriptors for photos 1374143788 and 1374143789 LMissing descriptors for photos 1374143789 and 1374143791 LMissing descriptors for photos 1374143791 and 1374143793 LMissing descriptors for photos 1374143793 and 1374144907 LMissing descriptors for photos 1374144907 and 1374144915 LMissing descriptors for photos 1374144915 and 1374144920 LMissing descriptors for photos 1374144920 and 1374144925 LMissing descriptors for photos 1374144925 and 1374144929 LMissing descriptors for photos 1374144929 and 1374144940 LMissing descriptors for photos 1374144940 and 1374146567 LMissing descriptors for photos 1374146567 and 1374146574 LMissing descriptors for photos 1374146574 and 1374146579 LMissing descriptors for photos 1374146579 and 1374146583 LMissing descriptors for photos 1374146583 and 1374146589 LMissing descriptors for photos 1374146589 and 1374146592 LMissing descriptors for photos 1374146592 and 1374147074 L 28072025 Removing 1 photos because of the 'same image' condition Total on : 0.0 list_time_on Warning in study_and_display_distrib_list : min=max : 0.0 0.0 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 145 time used for this insertion : 0.03219032287597656 photos_removed : len 1 elapsed_time : remove_photo_duplicate 0.06406402587890625 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.0089111328125 NUMBER BATCH : 2 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLresult_one_balle_Type_JRM:{'day': '28072025', 'map_nb_amount': {0: 4, 1: 24, 2: 0, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.7822749614716, 'nb_balles_papier': 0.0002900000000000001, 'begin_time_port': 'image_28072025_10_00_02_766356_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0002900000000000001 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR 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': '28072025', 'map_nb_amount': {0: 6, 1: 18, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 480.19408917427063, 'nb_balles_papier': 0.00024, 'begin_time_port': 'image_28072025_10_15_02_276857_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00024 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`=25403060 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`=25403063 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 6.296127080917358 # DISPLAY ALL COLLECTED DATA : {'28072025': {'nb_upload': 145, 'nb_taggue_class': 120, 'nb_taggue_densite': 120, 'nb_descriptors': 54}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1374147074, 1374146592, 1374146589, 1374146583, 1374146579, 1374146574, 1374146567, 1374144940, 1374144929, 1374144925, 1374144920, 1374144915, 1374144907, 1374143793, 1374143791, 1374143789, 1374143788, 1374143786, 1374143776, 1374142561, 1374142558, 1374142554, 1374142550, 1374142533, 1374142527, 1374141916, 1374141907, 1374141894, 1374141892, 1374141875, 1374141872, 1374140402, 1374140398, 1374140358, 1374140337, 1374140334, 1374140329, 1374139313, 1374139279, 1374139235, 1374139190, 1374139147, 1374139106, 1374137852, 1374137824, 1374137785, 1374137746, 1374137704, 1374137667, 1374136587, 1374136583, 1374136579, 1374136576, 1374136572, 1374136568, 1374133864, 1374133815, 1374133418, 1374133408, 1374133369, 1374133324, 1374133276, 1374133232, 1374130760, 1374130754, 1374130745, 1374130691, 1374130629, 1374130606, 1374128934, 1374128927, 1374128920, 1374128909, 1374128898, 1374128893, 1374127627, 1374127608, 1374127605, 1374127602, 1374127600, 1374127597, 1374127283, 1374127266, 1374127263, 1374127262, 1374127260, 1374127257, 1374127013, 1374127012, 1374127011, 1374127006, 1374127001, 1374126996, 1374125849, 1374125846, 1374125841, 1374125833, 1374125826, 1374125821, 1374124441] Looping around the photos to save general results len do output : 1 /25395828Didn'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, '3371419') ('4189', '25395828', '1374147074', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374146592', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374146589', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374146583', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374146579', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374146574', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374146567', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374144940', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374144929', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374144925', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374144920', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374144915', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374144907', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374143793', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374143791', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374143789', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374143788', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374143786', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374143776', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374142561', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374142558', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374142554', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374142550', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374142533', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374142527', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374141916', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374141907', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374141894', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374141892', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374141875', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374141872', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374140402', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374140398', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374140358', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374140337', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374140334', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374140329', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374139313', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374139279', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374139235', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374139190', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374139147', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374139106', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374137852', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374137824', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374137785', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374137746', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374137704', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374137667', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374136587', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374136583', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374136579', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374136576', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374136572', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374136568', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374133864', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374133815', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374133418', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374133408', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374133369', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374133324', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374133276', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374133232', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374130760', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374130754', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374130745', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374130691', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374130629', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374130606', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374128934', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374128927', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374128920', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374128909', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374128898', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374128893', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127627', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127608', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127605', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127602', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127600', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127597', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127283', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127266', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127263', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127262', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127260', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127257', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127013', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127012', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127011', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127006', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374127001', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374126996', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374125849', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374125846', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374125841', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374125833', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374125826', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374125821', None, None, None, None, None, '3371419') ('4189', None, None, None, None, None, None, None, '3371419') ('4189', '25395828', '1374124441', None, None, None, None, None, '3371419') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.039608001708984375 save_final save missing photos in datou_result : time spend for datou_step_exec : 9.82123589515686 time spend to save output : 0.040488481521606445 total time spend for step 1 : 9.861724376678467 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 1.87user 0.63system 0:13.51elapsed 18%CPU (0avgtext+0avgdata 104472maxresident)k 256inputs+536outputs (0major+50947minor)pagefaults 0swaps