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 : 1447142 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: {} Date 2026-03-24 12:30:29.819423 Current got : datou_id : 4189, datou_cur_ids : ['4367115'] with mtr_portfolio_ids : ['30863087'] and first list_photo_ids : [] new path : /proc/1447142/ 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 : 0.022296667098999023 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Tue Mar 24 12:30:29 2026 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', 101),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 101} 24032026 30863087 Nombre de photos uploadées : 101 / 23040 (0%) 24032026 30863087 Nombre de photos taguées (types de déchets): 101 / 101 (100%) 24032026 30863087 Nombre de photos taguées (volume) : 101 / 101 (100%) elapsed_time : load_data_split_time_score 1.430511474609375e-06 elapsed_time : order_list_meta_photo_and_scores 4.649162292480469e-05 LLLLLLLLLLLL elapsed_time : fill_and_build_computed_from_old_data 0.007196664810180664 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.245741605758667 LLLLLLLLLLLL Creating list_photo_by_hashtags elapsed_time : list_photo_by_hashtags 0.02907705307006836 Creating list_photo_total Object GET failed: https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/desc.fotonower.com/5680.1413573166.desc 404 Not Found [first 60 chars of response] b'

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The resource could not be found.<' Unable to find some descriptors in ovh, trying to find them in s3 Number missing : 101 Warning this was a bad idea s3 ! elapsed_time : select_descriptors 6.929879426956177 Missing descriptors : 101 24032026 30863087 Nombre de photos avec descriptors (type 5680) : 0 / 101 (0%) Missing descriptors for photos 0 and 1413573166 0:00:00|ON:Missing descriptors for photos 1413573166 and 1413573209 Missing descriptors for photos 1413573209 and 1413573227 Missing descriptors for photos 1413573227 and 1413573228 Missing descriptors for photos 1413573228 and 1413573229 Missing descriptors for photos 1413573229 and 1413574837 Missing descriptors for photos 1413574837 and 1413574882 Missing descriptors for photos 1413574882 and 1413574891 Missing descriptors for photos 1413574891 and 1413574909 Missing descriptors for photos 1413574909 and 1413574910 Missing descriptors for photos 1413574910 and 1413574911 Missing descriptors for photos 1413574911 and 1413576414 Missing descriptors for photos 1413576414 and 1413576415 Missing descriptors for photos 1413576415 and 1413576416 Missing descriptors for photos 1413576416 and 1413576418 Missing descriptors for photos 1413576418 and 1413576419 Missing descriptors for photos 1413576419 and 1413576420 Missing descriptors for photos 1413576420 and 1413576454 Missing descriptors for photos 1413576454 and 1413576455 Missing descriptors for photos 1413576455 and 1413576456 Missing descriptors for photos 1413576456 and 1413576457 Missing descriptors for photos 1413576457 and 1413576458 Missing descriptors for photos 1413576458 and 1413576460 Missing descriptors for photos 1413576460 and 1413576613 Missing descriptors for photos 1413576613 and 1413576614 Missing descriptors for photos 1413576614 and 1413576615 Missing descriptors for photos 1413576615 and 1413576616 Missing descriptors for photos 1413576616 and 1413576619 Missing descriptors for photos 1413576619 and 1413576666 Missing descriptors for photos 1413576666 and 1413579089 Missing descriptors for photos 1413579089 and 1413579142 Missing descriptors for photos 1413579142 and 1413579196 Missing descriptors for photos 1413579196 and 1413579300 Missing descriptors for photos 1413579300 and 1413579406 Missing descriptors for photos 1413579406 and 1413579482 Missing descriptors for photos 1413579482 and 1413581126 Missing descriptors for photos 1413581126 and 1413581152 Missing descriptors for photos 1413581152 and 1413581166 Missing descriptors for photos 1413581166 and 1413581177 Missing descriptors for photos 1413581177 and 1413581188 Missing descriptors for photos 1413581188 and 1413581203 Missing descriptors for photos 1413581203 and 1413581588 Missing descriptors for photos 1413581588 and 1413581590 Missing descriptors for photos 1413581590 and 1413581591 Missing descriptors for photos 1413581591 and 1413581595 Missing descriptors for photos 1413581595 and 1413581597 Missing descriptors for photos 1413581597 and 1413581598 Missing descriptors for photos 1413581598 and 1413584262 Missing descriptors for photos 1413584262 and 1413584263 Missing descriptors for photos 1413584263 and 1413584264 Missing descriptors for photos 1413584264 and 1413584265 Missing descriptors for photos 1413584265 and 1413584266 Missing descriptors for photos 1413584266 and 1413584267 Missing descriptors for photos 1413584267 and 1413585941 Missing descriptors for photos 1413585941 and 1413585943 Missing descriptors for photos 1413585943 and 1413585945 Missing descriptors for photos 1413585945 and 1413585948 Missing descriptors for photos 1413585948 and 1413585951 Missing descriptors for photos 1413585951 and 1413585970 Missing descriptors for photos 1413585970 and 1413587344 Missing descriptors for photos 1413587344 and 1413587345 Missing descriptors for photos 1413587345 and 1413587346 Missing descriptors for photos 1413587346 and 1413587347 Missing descriptors for photos 1413587347 and 1413587348 Missing descriptors for photos 1413587348 and 1413587349 Missing descriptors for photos 1413587349 and 1413587646 Missing descriptors for photos 1413587646 and 1413587647 Missing descriptors for photos 1413587647 and 1413587648 Missing descriptors for photos 1413587648 and 1413587650 Missing descriptors for photos 1413587650 and 1413587663 Missing descriptors for photos 1413587663 and 1413587732 Missing descriptors for photos 1413587732 and 1413588768 Missing descriptors for photos 1413588768 and 1413588885 Missing descriptors for photos 1413588885 and 1413588934 Missing descriptors for photos 1413588934 and 1413588982 Missing descriptors for photos 1413588982 and 1413589032 Missing descriptors for photos 1413589032 and 1413589115 Missing descriptors for photos 1413589115 and 1413591715 Missing descriptors for photos 1413591715 and 1413591717 Missing descriptors for photos 1413591717 and 1413591719 Missing descriptors for photos 1413591719 and 1413591766 Missing descriptors for photos 1413591766 and 1413591807 Missing descriptors for photos 1413591807 and 1413591808 Missing descriptors for photos 1413591808 and 1413591856 Missing descriptors for photos 1413591856 and 1413591857 Missing descriptors for photos 1413591857 and 1413591858 Missing descriptors for photos 1413591858 and 1413591859 Missing descriptors for photos 1413591859 and 1413591862 Missing descriptors for photos 1413591862 and 1413591864 Missing descriptors for photos 1413591864 and 1413596239 LMissing descriptors for photos 1413596239 and 1413596242 LMissing descriptors for photos 1413596242 and 1413596266 LMissing descriptors for photos 1413596266 and 1413596320 LMissing descriptors for photos 1413596320 and 1413596372 LMissing descriptors for photos 1413596372 and 1413596426 LMissing descriptors for photos 1413596426 and 1413598786 LMissing descriptors for photos 1413598786 and 1413598823 LMissing descriptors for photos 1413598823 and 1413598906 LMissing descriptors for photos 1413598906 and 1413598960 LMissing descriptors for photos 1413598960 and 1413599013 LMissing descriptors for photos 1413599013 and 1413599036 L 24032026 Removing 0 photos because of the 'same image' condition Total on : 0 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc Warning in study_and_display_distrib_list : min=max : -1 -1 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 101 time used for this insertion : 0.03345036506652832 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.057237863540649414 To do, maybe not at the correct place ! ..........................................................................................L.L.L.L.L.L.L.L.L.L.L.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.007725954055786133 NUMBER BATCH : 2 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLresult_one_balle_Type_JRM:{'day': '24032026', 'map_nb_amount': {0: 3, 1: 87, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 840.3715369701385, 'nb_balles_papier': 0.0009000000000000017, 'begin_time_port': 'image_24032026_10_00_02_341751m0.jpg 2e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0009000000000000017 LLLLLLLLLLLLLLLLLLLLLLLLLresult_one_balle_Type_JRM:{'day': '24032026', 'map_nb_amount': {0: 0, 1: 11, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 59.87212014198303, 'nb_balles_papier': 0.00011, 'begin_time_port': 'image_24032026_10_15_02_582706_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00011 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`=30864615 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`=30864616 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 5.776216983795166 # DISPLAY ALL COLLECTED DATA : {'24032026': {'nb_upload': 101, 'nb_taggue_class': 101, 'nb_taggue_densite': 101, 'nb_descriptors': 0}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1413599036, 1413599013, 1413598960, 1413598906, 1413598823, 1413598786, 1413596426, 1413596372, 1413596320, 1413596266, 1413596242, 1413596239, 1413591864, 1413591862, 1413591859, 1413591858, 1413591857, 1413591856, 1413591808, 1413591807, 1413591766, 1413591719, 1413591717, 1413591715, 1413589115, 1413589032, 1413588982, 1413588934, 1413588885, 1413588768, 1413587732, 1413587663, 1413587650, 1413587648, 1413587647, 1413587646, 1413587349, 1413587348, 1413587347, 1413587346, 1413587345, 1413587344, 1413585970, 1413585951, 1413585948, 1413585945, 1413585943, 1413585941, 1413584267, 1413584266, 1413584265, 1413584264, 1413584263, 1413584262, 1413581598, 1413581597, 1413581595, 1413581591, 1413581590, 1413581588, 1413581203, 1413581188, 1413581177, 1413581166, 1413581152, 1413581126, 1413579482, 1413579406, 1413579300, 1413579196, 1413579142, 1413579089, 1413576666, 1413576619, 1413576616, 1413576615, 1413576614, 1413576613, 1413576460, 1413576458, 1413576457, 1413576456, 1413576455, 1413576454, 1413576420, 1413576419, 1413576418, 1413576416, 1413576415, 1413576414, 1413574911, 1413574910, 1413574909, 1413574891, 1413574882, 1413574837, 1413573229, 1413573228, 1413573227, 1413573209] Looping around the photos to save general results len do output : 1 /30863087Didn'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, '4367115') ('4189', '30863087', '1413599036', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413599013', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413598960', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413598906', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413598823', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413598786', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413596426', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413596372', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413596320', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413596266', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413596242', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413596239', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413591864', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413591862', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413591859', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413591858', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413591857', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413591856', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413591808', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413591807', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413591766', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413591719', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413591717', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413591715', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413589115', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413589032', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413588982', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413588934', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413588885', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413588768', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413587732', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413587663', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413587650', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413587648', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413587647', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413587646', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413587349', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413587348', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413587347', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413587346', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413587345', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413587344', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413585970', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413585951', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413585948', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413585945', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413585943', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413585941', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413584267', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413584266', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413584265', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413584264', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413584263', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413584262', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413581598', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413581597', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413581595', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413581591', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413581590', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413581588', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413581203', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413581188', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413581177', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413581166', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413581152', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413581126', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413579482', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413579406', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413579300', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413579196', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413579142', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413579089', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576666', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576619', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576616', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576615', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576614', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576613', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576460', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576458', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576457', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576456', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576455', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576454', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576420', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576419', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576418', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576416', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576415', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413576414', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413574911', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413574910', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413574909', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413574891', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413574882', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413574837', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413573229', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413573228', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413573227', None, None, None, None, None, '4367115') ('4189', None, None, None, None, None, None, None, '4367115') ('4189', '30863087', '1413573209', None, None, None, None, None, '4367115') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.029053449630737305 save_final save missing photos in datou_result : time spend for datou_step_exec : 13.14258885383606 time spend to save output : 0.02985382080078125 total time spend for step 1 : 13.17244267463684 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 1.61user 0.62system 0:17.68elapsed 12%CPU (0avgtext+0avgdata 111084maxresident)k 0inputs+160outputs (0major+52918minor)pagefaults 0swaps