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 : 2727877 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 2026-04-20 16:00:29.744100 Current got : datou_id : 4189, datou_cur_ids : ['4376054'] with mtr_portfolio_ids : ['31004615'] and first list_photo_ids : [] new path : /proc/2727877/ 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 : 0.02647852897644043 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Apr 20 16:00:29 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', 257),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 227} 20042026 31004615 Nombre de photos uploadées : 257 / 23040 (1%) 20042026 31004615 Nombre de photos taguées (types de déchets): 227 / 257 (88%) 20042026 31004615 Nombre de photos taguées (volume) : 227 / 257 (88%) elapsed_time : load_data_split_time_score 7.3909759521484375e-06 elapsed_time : order_list_meta_photo_and_scores 0.00021648406982421875 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL?????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.016768932342529297 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.24937725067138672 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.026532411575317383 Creating list_photo_total elapsed_time : select_descriptors 11.908903121948242 20042026 31004615 Nombre de photos avec descriptors (type 5680) : 227 / 257 (88%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1416127890 photo_id_prec : 0 0:00:00|ON:LL0:33:00.245762|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 : 1416139132 photo_id_prec : 1416139106 LMissing descriptors for photos 1416139132 and 1416139133 LMissing descriptors for photos 1416139133 and 1416139137 LMissing descriptors for photos 1416139137 and 1416139138 LMissing descriptors for photos 1416139138 and 1416139139 LMissing descriptors for photos 1416139139 and 1416139140 LMissing descriptors for photos 1416139140 and 1416139159 LMissing descriptors for photos 1416139159 and 1416139161 LMissing descriptors for photos 1416139161 and 1416139166 LMissing descriptors for photos 1416139166 and 1416139167 LMissing descriptors for photos 1416139167 and 1416139168 LMissing descriptors for photos 1416139168 and 1416139169 LMissing descriptors for photos 1416139169 and 1416139215 LMissing descriptors for photos 1416139215 and 1416139216 LMissing descriptors for photos 1416139216 and 1416139217 LMissing descriptors for photos 1416139217 and 1416139218 LMissing descriptors for photos 1416139218 and 1416139219 LMissing descriptors for photos 1416139219 and 1416139220 LMissing descriptors for photos 1416139220 and 1416139232 LMissing descriptors for photos 1416139232 and 1416139233 LMissing descriptors for photos 1416139233 and 1416139234 LMissing descriptors for photos 1416139234 and 1416139235 LMissing descriptors for photos 1416139235 and 1416139237 LMissing descriptors for photos 1416139237 and 1416139239 LMissing descriptors for photos 1416139239 and 1416139266 LMissing descriptors for photos 1416139266 and 1416139268 LMissing descriptors for photos 1416139268 and 1416139299 LMissing descriptors for photos 1416139299 and 1416139305 LMissing descriptors for photos 1416139305 and 1416139308 LMissing descriptors for photos 1416139308 and 1416139309 L 20042026 Removing 1 photos because of the 'same image' condition Total on : 1980.245762 list_time_on Warning in study_and_display_distrib_list : min=max : 1980.245762 1980.245762 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 257 time used for this insertion : 0.05397510528564453 photos_removed : len 1 elapsed_time : remove_photo_duplicate 0.10021686553955078 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.012949466705322266 NUMBER BATCH : 3 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': '20042026', 'map_nb_amount': {0: 12, 1: 78, 2: 1, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 840.8205609321594, 'nb_balles_papier': 0.0009200000000000018, 'begin_time_port': 'image_20042026_10_00_02_190959m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0009200000000000018 result_one_balle_Type_JRM:{'day': '20042026', 'map_nb_amount': {0: 18, 1: 78, 2: 1, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 840.1383838653564, 'nb_balles_papier': 0.000980000000000002, 'begin_time_port': 'image_20042026_10_15_02_808068m0.jpg 1e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.000980000000000002 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info Lresult_one_balle_Type_JRM:{'day': '20042026', 'map_nb_amount': {0: 4, 1: 32, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 599.3634691238403, 'nb_balles_papier': 0.0003600000000000003, 'begin_time_port': 'image_20042026_10_30_02_826043m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0003600000000000003 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 3 list_same_port_ids : [31005129] find same portfolio which already exist 31005129 , we will use it list_same_port_ids : [31005651] find same portfolio which already exist 31005651 , we will use it list_same_port_ids : [] Qualite : 0.14986847486368227 # 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`=31005129 AND mptpi.`type`=3726 To do Qualite : 0.1703187993588036 # 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`=31005651 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`=31005822 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 2.990079402923584 # DISPLAY ALL COLLECTED DATA : {'20042026': {'nb_upload': 257, 'nb_taggue_class': 227, 'nb_taggue_densite': 227, 'nb_descriptors': 227}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1416139309, 1416139308, 1416139305, 1416139299, 1416139268, 1416139266, 1416139239, 1416139237, 1416139235, 1416139234, 1416139233, 1416139232, 1416139220, 1416139219, 1416139218, 1416139217, 1416139216, 1416139215, 1416139169, 1416139168, 1416139167, 1416139166, 1416139161, 1416139159, 1416139140, 1416139139, 1416139138, 1416139137, 1416139133, 1416139132, 1416139106, 1416139105, 1416139104, 1416139102, 1416139100, 1416139099, 1416138254, 1416138253, 1416138252, 1416138251, 1416138250, 1416138249, 1416138239, 1416138237, 1416138236, 1416138235, 1416138234, 1416138233, 1416138174, 1416138172, 1416138171, 1416138170, 1416138169, 1416138168, 1416138165, 1416138157, 1416138155, 1416138153, 1416138152, 1416138151, 1416138150, 1416137978, 1416137977, 1416137976, 1416137975, 1416137974, 1416137972, 1416137447, 1416137446, 1416137445, 1416137444, 1416137443, 1416137442, 1416137053, 1416137041, 1416136997, 1416136991, 1416136877, 1416136824, 1416136478, 1416136477, 1416136476, 1416136475, 1416136474, 1416136473, 1416136049, 1416136048, 1416136047, 1416136046, 1416136045, 1416136044, 1416135276, 1416135275, 1416135274, 1416135273, 1416135272, 1416135271, 1416134389, 1416134388, 1416134387] Looping around the photos to save general results len do output : 1 /31004615Didn'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, '4376054') ('4189', '31004615', '1416139309', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139308', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139305', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139299', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139268', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139266', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139239', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139237', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139235', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139234', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139233', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139232', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139220', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139219', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139218', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139217', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139216', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139215', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139169', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139168', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139167', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139166', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139161', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139159', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139140', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139139', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139138', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139137', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139133', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139132', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139106', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139105', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139104', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139102', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139100', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416139099', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138254', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138253', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138252', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138251', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138250', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138249', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138239', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138237', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138236', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138235', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138234', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138233', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138174', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138172', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138171', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138170', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138169', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138168', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138165', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138157', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138155', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138153', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138152', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138151', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416138150', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137978', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137977', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137976', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137975', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137974', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137972', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137447', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137446', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137445', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137444', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137443', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137442', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137053', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416137041', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136997', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136991', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136877', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136824', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136478', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136477', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136476', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136475', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136474', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136473', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136049', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136048', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136047', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136046', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136045', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416136044', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416135276', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416135275', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416135274', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416135273', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416135272', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416135271', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416134389', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416134388', None, None, None, None, None, '4376054') ('4189', None, None, None, None, None, None, None, '4376054') ('4189', '31004615', '1416134387', None, None, None, None, None, '4376054') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.029387950897216797 save_final save missing photos in datou_result : time spend for datou_step_exec : 15.430230379104614 time spend to save output : 0.030282258987426758 total time spend for step 1 : 15.460512638092041 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 1.82user 0.67system 0:18.59elapsed 13%CPU (0avgtext+0avgdata 111452maxresident)k 1928inputs+1920outputs (5major+53521minor)pagefaults 0swaps