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 : 1736092 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 : ['4346533'] with mtr_portfolio_ids : ['27875786'] and first list_photo_ids : [] new path : /proc/1736092/ 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 : 0.06914567947387695 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Feb 19 01:50:27 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', 47), ('14', 290)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 337} L17102025 27875786 Nombre de photos uploadées : 337 / 23040 (1%) 17102025 27875786 Nombre de photos taguées (types de déchets): 337 / 337 (100%) 17102025 27875786 Nombre de photos taguées (volume) : 337 / 337 (100%) elapsed_time : load_data_split_time_score 3.0994415283203125e-06 elapsed_time : order_list_meta_photo_and_scores 0.00014448165893554688 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL elapsed_time : fill_and_build_computed_from_old_data 0.01634049415588379 LCatched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.23990488052368164 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL Creating list_photo_by_hashtags elapsed_time : list_photo_by_hashtags 0.04405617713928223 Creating list_photo_total elapsed_time : select_descriptors 22.352940320968628 17102025 27875786 Nombre de photos avec descriptors (type 5680) : 260 / 260 (100%) Missing descriptors for photos 0 and 1389783765 L0:00:00|ON:Missing descriptors for photos 1389783765 and 1389783800 LMissing descriptors for photos 1389783800 and 1389783832 LMissing descriptors for photos 1389783832 and 1389783870 LMissing descriptors for photos 1389783870 and 1389783913 LMissing descriptors for photos 1389783913 and 1389783957 LMissing descriptors for photos 1389783957 and 1389784346 LMissing descriptors for photos 1389784346 and 1389784393 LMissing descriptors for photos 1389784393 and 1389784426 LMissing descriptors for photos 1389784426 and 1389784468 LMissing descriptors for photos 1389784468 and 1389784506 LMissing descriptors for photos 1389784506 and 1389784544 LLMissing descriptors for photos 1389785042 and 1389785094 LMissing descriptors for photos 1389785094 and 1389785159 LMissing descriptors for photos 1389785159 and 1389785225 LLMissing descriptors for photos 1389785803 and 1389785859 LMissing descriptors for photos 1389785859 and 1389785936 LMissing descriptors for photos 1389785936 and 1389785995 L0:03:20.933291|OFF:0:00:00|ON:LMissing descriptors for photos 1389786875 and 1389786882 LMissing descriptors for photos 1389786882 and 1389787674 LMissing descriptors for photos 1389787674 and 1389787679 LMissing descriptors for photos 1389787679 and 1389787682 LMissing descriptors for photos 1389787682 and 1389787688 LMissing descriptors for photos 1389787688 and 1389787691 LMissing descriptors for photos 1389787691 and 1389787695 LLMissing descriptors for photos 1389789363 and 1389789377 LMissing descriptors for photos 1389789377 and 1389789384 LMissing descriptors for photos 1389789384 and 1389789390 LLLMissing descriptors for photos 1389789871 and 1389789876 LMissing descriptors for photos 1389789876 and 1389818255 LLLMissing descriptors for photos 1389821665 and 1389821668 LMissing descriptors for photos 1389821668 and 1389821924 LMissing descriptors for photos 1389821924 and 1389821928 LMissing descriptors for photos 1389821928 and 1389821931 LMissing descriptors for photos 1389821931 and 1389821934 LMissing descriptors for photos 1389821934 and 1389821937 LMissing descriptors for photos 1389821937 and 1389821940 LMissing descriptors for photos 1389821940 and 1389822343 LMissing descriptors for photos 1389822343 and 1389822349 LMissing descriptors for photos 1389822349 and 1389822354 LMissing descriptors for photos 1389822354 and 1389822360 LMissing descriptors for photos 1389822360 and 1389822365 LMissing descriptors for photos 1389822365 and 1389822368 LMissing descriptors for photos 1389822368 and 1389825379 LMissing descriptors for photos 1389825379 and 1389825385 LMissing descriptors for photos 1389825385 and 1389825394 LMissing descriptors for photos 1389825394 and 1389825396 LMissing descriptors for photos 1389825396 and 1389825402 LMissing descriptors for photos 1389825402 and 1389825419 LMissing descriptors for photos 1389825419 and 1389829661 LMissing descriptors for photos 1389829661 and 1389829665 LMissing descriptors for photos 1389829665 and 1389829666 LMissing descriptors for photos 1389829666 and 1389829671 LMissing descriptors for photos 1389829671 and 1389829674 LMissing descriptors for photos 1389829674 and 1389829677 LMissing descriptors for photos 1389829677 and 1389832233 LMissing descriptors for photos 1389832233 and 1389832239 LMissing descriptors for photos 1389832239 and 1389832247 LMissing descriptors for photos 1389832247 and 1389832251 LMissing descriptors for photos 1389832251 and 1389832256 LMissing descriptors for photos 1389832256 and 1389832260 LMissing descriptors for photos 1389832260 and 1389834451 LMissing descriptors for photos 1389834451 and 1389834456 LLMissing descriptors for photos 1389834468 and 1389834471 LMissing descriptors for photos 1389834471 and 1389834473 LMissing descriptors for photos 1389834473 and 1389835345 LMissing descriptors for photos 1389835345 and 1389835349 LMissing descriptors for photos 1389835349 and 1389835353 LLL3:15:00.750126|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:02:59.673677|ON:LL0:00:00|OFF:LL0:00:00|ON:LLLLL0:01:00.763066|OFF:LLLLLLLLL0:00:59.939098|ON:LLLLLLLLLLLLLLLLLLLLLLL0:03:00.095995|OFF:L0:01:01.698047|ON:LLLLLLL0:00:00|OFF:L0:00:57.974982|ON:LLLLLLLLLLLL0:00:59.759141|OFF:LLLLLLL0:00:00|ON:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:06:00.362227|OFF:LLLLLLLLLLLLLLLLLLLLLLL0:00:59.676770|ON:LLL0:00:59.930685|OFF:L0:00:00|ON:LLLLLLLLLLLLLLLLLLLLL0:03:00.481381|OFF:L0:00:00|ON:LLLLLLLLLLLLLLLLLLLL0:03:00.251697|OFF:L0:00:59.814817|ON:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:05:59.687963|OFF:L0:00:00|ON:LLLLLLLLLLLLL 17102025 Removing 53 photos because of the 'same image' condition Total on : 13343.015571999998 list_time_on Total off : 478.777391 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 337 time used for this insertion : 0.12113356590270996 photos_removed : len 53 elapsed_time : remove_photo_duplicate 0.16469883918762207 To do, maybe not at the correct place ! .L.L.L.L.L.L.L.L.L.L.L.L..L.L.L.L...L.L.L.L......L.L.L.L.L.L.L.L..L.L.L.L..L..L.L.L...................L...L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L..L.L.L.L.L.L.....L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L...L.L...L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.015259265899658203 NUMBER BATCH : 5 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': '17102025', 'map_nb_amount': {0: 2, 1: 28, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 838.9367527961731, 'nb_balles_papier': 0.00030000000000000014, 'begin_time_port': 'image_17102025_14_00_03_271464m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00030000000000000014 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLresult_one_balle_Type_JRM:{'day': '17102025', 'map_nb_amount': {0: 6, 1: 65, 2: 1, 3: 2, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.5062601566315, 'nb_balles_papier': 0.0007400000000000013, 'begin_time_port': 'image_17102025_14_15_02_971283_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0007400000000000013 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLresult_one_balle_Type_JRM:{'day': '17102025', 'map_nb_amount': {0: 13, 1: 75, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.9137210845947, 'nb_balles_papier': 0.0008900000000000017, 'begin_time_port': 'image_17102025_14_30_02_408228_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0008900000000000017 We have rejected 14 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 3 list_same_port_ids : [] 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`=30444874 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`=30444876 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`=30444878 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 9.105968952178955 # DISPLAY ALL COLLECTED DATA : {'17102025': {'nb_upload': 337, 'nb_taggue_class': 337, 'nb_taggue_densite': 337, 'nb_descriptors': 260}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1403779025, 1403779024, 1403779023, 1403779022, 1403779021, 1403779020, 1403778799, 1403778797, 1403778795, 1403778793, 1403778792, 1403778767, 1403777044, 1403777041, 1403777038, 1403777035, 1403777033, 1403777031, 1401859758, 1401859754, 1401859748, 1401859743, 1401859737, 1401859733, 1401858802, 1401858798, 1401858794, 1401858789, 1401858786, 1401858784, 1401853826, 1401853823, 1401853818, 1401853814, 1401853800, 1401853791, 1401853178, 1401853175, 1401853171, 1401853170, 1401853140, 1401853138, 1401851540, 1401851535, 1401851528, 1401851485, 1401851472, 1401851468, 1393881112, 1393881109, 1393881107, 1393881103, 1393881099, 1393881097, 1393880713, 1393880712, 1393880711, 1393880629, 1393880625, 1393880624, 1393880621, 1393880618, 1393880615, 1393880401, 1393880397, 1393880393, 1393880390, 1393880387, 1393880383, 1393880023, 1393880019, 1393880015, 1393880011, 1393880007, 1393880005, 1393879827, 1393879826, 1393879820, 1393879816, 1393879811, 1393879807, 1393879580, 1393879578, 1393879575, 1393879573, 1393879569, 1393879565, 1393879293, 1393879289, 1393879286, 1393879284, 1393879280, 1393879274, 1393879112, 1393879109, 1393879106, 1393879100, 1393879098, 1393879095, 1393877973] Looping around the photos to save general results len do output : 1 /27875786Didn'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, '4346533') ('4189', '27875786', '1403779025', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403779024', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403779023', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403779022', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403779021', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403779020', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403778799', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403778797', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403778795', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403778793', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403778792', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403778767', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403777044', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403777041', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403777038', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403777035', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403777033', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1403777031', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401859758', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401859754', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401859748', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401859743', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401859737', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401859733', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401858802', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401858798', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401858794', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401858789', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401858786', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401858784', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401853826', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401853823', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401853818', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401853814', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401853800', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401853791', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401853178', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401853175', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401853171', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401853170', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401853140', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401853138', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401851540', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401851535', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401851528', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401851485', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401851472', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1401851468', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393881112', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393881109', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393881107', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393881103', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393881099', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393881097', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880713', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880712', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880711', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880629', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880625', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880624', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880621', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880618', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880615', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880401', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880397', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880393', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880390', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880387', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880383', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880023', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880019', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880015', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880011', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880007', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393880005', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879827', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879826', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879820', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879816', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879811', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879807', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879580', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879578', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879575', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879573', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879569', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879565', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879293', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879289', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879286', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879284', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879280', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879274', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879112', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879109', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879106', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879100', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879098', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393879095', None, None, None, None, None, '4346533') ('4189', None, None, None, None, None, None, None, '4346533') ('4189', '27875786', '1393877973', None, None, None, None, None, '4346533') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.044913530349731445 save_final save missing photos in datou_result : time spend for datou_step_exec : 32.17676520347595 time spend to save output : 0.04571938514709473 total time spend for step 1 : 32.22248458862305 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 0.62system 0:34.72elapsed 7%CPU (0avgtext+0avgdata 113284maxresident)k 0inputs+2200outputs (7major+53093minor)pagefaults 0swaps