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 : 2195314 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 : ['2768986'] with mtr_portfolio_ids : ['22493272'] and first list_photo_ids : [] new path : /proc/2195314/ 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 : 0.021536827087402344 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Tue Apr 29 13:30:27 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', 158),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 138} 29042025 22493272 Nombre de photos uploadées : 158 / 23040 (0%) 29042025 22493272 Nombre de photos taguées (types de déchets): 138 / 158 (87%) 29042025 22493272 Nombre de photos taguées (volume) : 138 / 158 (87%) elapsed_time : load_data_split_time_score 5.9604644775390625e-06 elapsed_time : order_list_meta_photo_and_scores 0.00011467933654785156 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL???????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.016737937927246094 elapsed_time : insert_dashboard_record_day_entry 0.02312946319580078 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 elapsed_time : list_photo_by_hashtags 0.0268399715423584 Creating list_photo_total elapsed_time : select_descriptors 4.65680193901062 29042025 22493272 Nombre de photos avec descriptors (type 5680) : 77 / 97 (79%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1354177802 photo_id_prec : 0 0:00:00|ON:LMissing descriptors for photos 1354181273 and 1354181278 LLMissing descriptors for photos 1354181458 and 1354182176 LMissing descriptors for photos 1354182176 and 1354182181 LLMissing descriptors for photos 1354182190 and 1354182195 LLMissing descriptors for photos 1354183118 and 1354183121 LMissing descriptors for photos 1354183121 and 1354183125 LMissing descriptors for photos 1354183125 and 1354183129 LMissing descriptors for photos 1354183129 and 1354183133 LMissing descriptors for photos 1354183133 and 1354183140 LMissing descriptors for photos 1354183140 and 1354184174 LMissing descriptors for photos 1354184174 and 1354184263 LMissing descriptors for photos 1354184263 and 1354184319 LMissing descriptors for photos 1354184319 and 1354184370 LMissing descriptors for photos 1354184370 and 1354184410 LMissing descriptors for photos 1354184410 and 1354187921 LMissing descriptors for photos 1354187921 and 1354187962 LMissing descriptors for photos 1354187962 and 1354188003 LMissing descriptors for photos 1354188003 and 1354188042 LMissing descriptors for photos 1354188042 and 1354188070 LMissing descriptors for photos 1354188070 and 1354188078 LMissing descriptors for photos 1354188078 and 1354189778 LMissing descriptors for photos 1354189778 and 1354189818 LMissing descriptors for photos 1354189818 and 1354189859 LMissing descriptors for photos 1354189859 and 1354189900 LMissing descriptors for photos 1354189900 and 1354189945 LMissing descriptors for photos 1354189945 and 1354189966 LMissing descriptors for photos 1354189966 and 1354192045 LMissing descriptors for photos 1354192045 and 1354192054 LLMissing descriptors for photos 1354192078 and 1354192103 LMissing descriptors for photos 1354192103 and 1354192144 LMissing descriptors for photos 1354192144 and 1354194235 LMissing descriptors for photos 1354194235 and 1354194240 LMissing descriptors for photos 1354194240 and 1354194272 LMissing descriptors for photos 1354194272 and 1354194316 LMissing descriptors for photos 1354194316 and 1354194355 LMissing descriptors for photos 1354194355 and 1354194392 LMissing descriptors for photos 1354194392 and 1354201403 LMissing descriptors for photos 1354201403 and 1354201473 LMissing descriptors for photos 1354201473 and 1354201512 LMissing descriptors for photos 1354201512 and 1354201555 LMissing descriptors for photos 1354201555 and 1354201606 LMissing descriptors for photos 1354201606 and 1354201667 LMissing descriptors for photos 1354201667 and 1354205628 LMissing descriptors for photos 1354205628 and 1354205630 LMissing descriptors for photos 1354205630 and 1354205689 LMissing descriptors for photos 1354205689 and 1354205822 LMissing descriptors for photos 1354205822 and 1354205959 LMissing descriptors for photos 1354205959 and 1354206083 LMissing descriptors for photos 1354206083 and 1354208806 LLMissing descriptors for photos 1354208913 and 1354208967 LLL0:14:00.096435|OFF:LLLLLLLLLLLLLLLLL0:00:59.896568|ON:LL0:00:00|OFF:LLLLL0:01:00.904030|ON:Missing descriptors for photos 1354227523 and 1354227527 LLL0:00:00|OFF:LLLLLLLLL0:00:59.823644|ON:Missing descriptors for photos 1354231581 and 1354231655 LLL0:00:59.854375|OFF:0:00:00|ON:ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1354241521 photo_id_prec : 1354241250 LMissing descriptors for photos 1354241521 and 1354241583 LMissing descriptors for photos 1354241583 and 1354245518 LMissing descriptors for photos 1354245518 and 1354245561 LMissing descriptors for photos 1354245561 and 1354245605 LMissing descriptors for photos 1354245605 and 1354245645 LMissing descriptors for photos 1354245645 and 1354245707 LMissing descriptors for photos 1354245707 and 1354245757 LMissing descriptors for photos 1354245757 and 1354248065 LMissing descriptors for photos 1354248065 and 1354248070 LMissing descriptors for photos 1354248070 and 1354248074 LMissing descriptors for photos 1354248074 and 1354248076 LMissing descriptors for photos 1354248076 and 1354248079 LMissing descriptors for photos 1354248079 and 1354248082 LMissing descriptors for photos 1354248082 and 1354248304 LMissing descriptors for photos 1354248304 and 1354248310 LMissing descriptors for photos 1354248310 and 1354248318 LMissing descriptors for photos 1354248318 and 1354248325 LMissing descriptors for photos 1354248325 and 1354248330 LMissing descriptors for photos 1354248330 and 1354248333 L 29042025 Removing 18 photos because of the 'same image' condition Total on : 899.95081 list_time_on Total off : 180.624242 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 158 time used for this insertion : 0.03300309181213379 photos_removed : len 18 elapsed_time : remove_photo_duplicate 0.06591248512268066 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.01006317138671875 NUMBER BATCH : 2 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': '29042025', 'map_nb_amount': {0: 0, 1: 31, 2: 1, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 783.1834321022034, 'nb_balles_papier': 0.0003300000000000002, 'begin_time_port': 'image_29042025_10_00_02_272182m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0003300000000000002 LLLLLLLLLLLLLLLLLLLLERROR 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 Lresult_one_balle_Type_JRM:{'day': '29042025', 'map_nb_amount': {0: 1, 1: 25, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 541.8741228580475, 'nb_balles_papier': 0.00026000000000000003, 'begin_time_port': 'image_29042025_10_15_02_265185m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00026000000000000003 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 2 list_same_port_ids : [22497657] find same portfolio which already exist 22497657 , we will use it list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=JRM_diff_batch__29042025_10_15_02_265185&access_token=b05576c56a0e42ad0cb9b46155f68f82 # 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`=22497657 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`=22498479 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 2.4163978099823 # DISPLAY ALL COLLECTED DATA : {'29042025': {'nb_upload': 158, 'nb_taggue_class': 138, 'nb_taggue_densite': 138, 'nb_descriptors': 77}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1354248333, 1354248330, 1354248325, 1354248318, 1354248310, 1354248304, 1354248082, 1354248079, 1354248076, 1354248074, 1354248070, 1354248065, 1354245757, 1354245707, 1354245645, 1354245605, 1354245561, 1354245518, 1354241583, 1354241521, 1354241250, 1354241245, 1354241240, 1354241237, 1354241235, 1354241232, 1354239408, 1354239367, 1354239327, 1354239278, 1354239237, 1354239194, 1354237895, 1354237855, 1354237808, 1354237765, 1354237687, 1354237600, 1354234403, 1354234360, 1354234286, 1354234210, 1354234170, 1354234097, 1354231723, 1354231655, 1354231581, 1354231507, 1354231390, 1354231290, 1354227574, 1354227536, 1354227532, 1354227527, 1354227523, 1354227514, 1354221980, 1354221877, 1354221832, 1354221705, 1354221480, 1354221286, 1354217050, 1354217043, 1354217034, 1354217024, 1354217016, 1354217011, 1354210805, 1354209113, 1354209037, 1354208967, 1354208913, 1354208868, 1354208806, 1354206083, 1354205959, 1354205822, 1354205689, 1354205630, 1354205628, 1354201667, 1354201606, 1354201555, 1354201512, 1354201473, 1354201403, 1354194392, 1354194355, 1354194316, 1354194272, 1354194240, 1354194235, 1354192144, 1354192103, 1354192078, 1354192056, 1354192054, 1354192045, 1354189966] Looping around the photos to save general results len do output : 1 /22493272Didn'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, '2768986') ('4189', '22493272', '1354248333', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354248330', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354248325', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354248318', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354248310', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354248304', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354248082', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354248079', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354248076', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354248074', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354248070', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354248065', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354245757', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354245707', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354245645', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354245605', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354245561', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354245518', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354241583', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354241521', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354241250', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354241245', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354241240', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354241237', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354241235', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354241232', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354239408', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354239367', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354239327', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354239278', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354239237', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354239194', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354237895', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354237855', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354237808', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354237765', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354237687', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354237600', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354234403', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354234360', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354234286', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354234210', None, None, None, None, None, 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None, None, '2768986') ('4189', '22493272', '1354201473', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354201403', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354194392', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354194355', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354194316', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354194272', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354194240', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354194235', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354192144', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354192103', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354192078', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354192056', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354192054', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354192045', None, None, None, None, None, '2768986') ('4189', None, None, None, None, None, None, None, '2768986') ('4189', '22493272', '1354189966', None, None, None, None, None, '2768986') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.0278470516204834 save_final save missing photos in datou_result : time spend for datou_step_exec : 7.3117945194244385 time spend to save output : 0.028783082962036133 total time spend for step 1 : 7.340577602386475 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 1.73user 0.33system 0:10.49elapsed 19%CPU (0avgtext+0avgdata 103764maxresident)k 632inputs+712outputs (1major+49802minor)pagefaults 0swaps