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 : 2484657 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 : ['2908419'] with mtr_portfolio_ids : ['23161629'] and first list_photo_ids : [] new path : /proc/2484657/ 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 : 0.02497577667236328 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Tue May 20 14:00:29 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('10', 204),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 51} 20052025 23161629 Nombre de photos uploadées : 204 / 23040 (0%) 20052025 23161629 Nombre de photos taguées (types de déchets): 51 / 204 (25%) 20052025 23161629 Nombre de photos taguées (volume) : 51 / 204 (25%) elapsed_time : load_data_split_time_score 2.6226043701171875e-06 elapsed_time : order_list_meta_photo_and_scores 3.361701965332031e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.010121583938598633 elapsed_time : insert_dashboard_record_day_entry 0.023677825927734375 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 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 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 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 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 Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.021697282791137695 Creating list_photo_total elapsed_time : select_descriptors 1.6589486598968506 20052025 23161629 Nombre de photos avec descriptors (type 5680) : 17 / 170 (10%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1359788623 photo_id_prec : 0 0:00:00|ON:LLMissing descriptors for photos 1359788664 and 1359788703 LMissing descriptors for photos 1359788703 and 1359788767 LMissing descriptors for photos 1359788767 and 1359790704 LMissing descriptors for photos 1359790704 and 1359790753 LMissing descriptors for photos 1359790753 and 1359790765 LMissing descriptors for photos 1359790765 and 1359790774 LMissing descriptors for photos 1359790774 and 1359790784 L0:01:59.625165|OFF:L0:00:00|ON:Missing descriptors for photos 1359791573 and 1359791579 LLMissing descriptors for photos 1359791600 and 1359791603 LMissing descriptors for photos 1359791603 and 1359792337 LLMissing descriptors for photos 1359792377 and 1359792381 LMissing descriptors for photos 1359792381 and 1359792386 LLMissing descriptors for photos 1359792906 and 1359792911 L0:02:00.817363|OFF:L0:00:00|ON:Missing descriptors for photos 1359792948 and 1359792957 LMissing descriptors for photos 1359792957 and 1359793200 LMissing descriptors for photos 1359793200 and 1359793206 LLMissing descriptors for photos 1359793218 and 1359793224 LMissing descriptors for photos 1359793224 and 1359793230 LMissing descriptors for photos 1359793230 and 1359793973 LLMissing descriptors for photos 1359794064 and 1359794811 LLMissing descriptors for photos 1359794819 and 1359794824 LMissing descriptors for photos 1359794824 and 1359794838 LMissing descriptors for photos 1359794838 and 1359794849 LMissing descriptors for photos 1359794849 and 1359795876 LERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1359796175 photo_id_prec : 1359795944 LMissing descriptors for photos 1359796175 and 1359796182 LMissing descriptors for photos 1359796182 and 1359796188 LMissing descriptors for photos 1359796188 and 1359796194 LMissing descriptors for photos 1359796194 and 1359796196 LMissing descriptors for photos 1359796196 and 1359796200 LMissing descriptors for photos 1359796200 and 1359796493 LMissing descriptors for photos 1359796493 and 1359796496 LMissing descriptors for photos 1359796496 and 1359796499 LMissing descriptors for photos 1359796499 and 1359796502 LMissing descriptors for photos 1359796502 and 1359796509 LMissing descriptors for photos 1359796509 and 1359796515 LMissing descriptors for photos 1359796515 and 1359796756 LMissing descriptors for photos 1359796756 and 1359796758 LMissing descriptors for photos 1359796758 and 1359796762 LMissing descriptors for photos 1359796762 and 1359796767 LMissing descriptors for photos 1359796767 and 1359796777 LMissing descriptors for photos 1359796777 and 1359796782 LMissing descriptors for photos 1359796782 and 1359796992 LMissing descriptors for photos 1359796992 and 1359796999 LMissing descriptors for photos 1359796999 and 1359797004 LMissing descriptors for photos 1359797004 and 1359797011 LMissing descriptors for photos 1359797011 and 1359797015 LMissing descriptors for photos 1359797015 and 1359797018 LMissing descriptors for photos 1359797018 and 1359797244 LMissing descriptors for photos 1359797244 and 1359797251 LMissing descriptors for photos 1359797251 and 1359797304 LMissing descriptors for photos 1359797304 and 1359797310 LMissing descriptors for photos 1359797310 and 1359797313 LMissing descriptors for photos 1359797313 and 1359797316 LMissing descriptors for photos 1359797316 and 1359797867 LMissing descriptors for photos 1359797867 and 1359797870 LMissing descriptors for photos 1359797870 and 1359797873 LMissing descriptors for photos 1359797873 and 1359797876 LMissing descriptors for photos 1359797876 and 1359797879 LMissing descriptors for photos 1359797879 and 1359797882 LMissing descriptors for photos 1359797882 and 1359798354 LMissing descriptors for photos 1359798354 and 1359798358 LMissing descriptors for photos 1359798358 and 1359798361 LMissing descriptors for photos 1359798361 and 1359798368 LMissing descriptors for photos 1359798368 and 1359798375 LMissing descriptors for photos 1359798375 and 1359798381 LMissing descriptors for photos 1359798381 and 1359798473 LMissing descriptors for photos 1359798473 and 1359798474 LMissing descriptors for photos 1359798474 and 1359798703 LMissing descriptors for photos 1359798703 and 1359798707 LMissing descriptors for photos 1359798707 and 1359798711 LMissing descriptors for photos 1359798711 and 1359798716 LMissing descriptors for photos 1359798716 and 1359798723 LMissing descriptors for photos 1359798723 and 1359798729 LMissing descriptors for photos 1359798729 and 1359798950 LMissing descriptors for photos 1359798950 and 1359798956 LMissing descriptors for photos 1359798956 and 1359798963 LMissing descriptors for photos 1359798963 and 1359798965 LMissing descriptors for photos 1359798965 and 1359798969 LMissing descriptors for photos 1359798969 and 1359798973 LMissing descriptors for photos 1359798973 and 1359799141 LMissing descriptors for photos 1359799141 and 1359799146 LMissing descriptors for photos 1359799146 and 1359799151 LMissing descriptors for photos 1359799151 and 1359799157 LMissing descriptors for photos 1359799157 and 1359799161 LMissing descriptors for photos 1359799161 and 1359799164 LMissing descriptors for photos 1359799164 and 1359799603 LMissing descriptors for photos 1359799603 and 1359799606 LMissing descriptors for photos 1359799606 and 1359799607 LMissing descriptors for photos 1359799607 and 1359799610 LMissing descriptors for photos 1359799610 and 1359799612 LMissing descriptors for photos 1359799612 and 1359799616 LMissing descriptors for photos 1359799616 and 1359799796 LMissing descriptors for photos 1359799796 and 1359799801 LMissing descriptors for photos 1359799801 and 1359799805 LMissing descriptors for photos 1359799805 and 1359799809 LMissing descriptors for photos 1359799809 and 1359799813 LMissing descriptors for photos 1359799813 and 1359799817 LMissing descriptors for photos 1359799817 and 1359800030 LMissing descriptors for photos 1359800030 and 1359800038 LMissing descriptors for photos 1359800038 and 1359800085 LMissing descriptors for photos 1359800085 and 1359800112 LMissing descriptors for photos 1359800112 and 1359800119 LMissing descriptors for photos 1359800119 and 1359800152 LMissing descriptors for photos 1359800152 and 1359800430 LMissing descriptors for photos 1359800430 and 1359800437 LMissing descriptors for photos 1359800437 and 1359800444 LMissing descriptors for photos 1359800444 and 1359800448 LMissing descriptors for photos 1359800448 and 1359800450 LMissing descriptors for photos 1359800450 and 1359800455 LMissing descriptors for photos 1359800455 and 1359800730 LMissing descriptors for photos 1359800730 and 1359800733 LMissing descriptors for photos 1359800733 and 1359800737 LMissing descriptors for photos 1359800737 and 1359800741 LMissing descriptors for photos 1359800741 and 1359800744 LMissing descriptors for photos 1359800744 and 1359800747 LMissing descriptors for photos 1359800747 and 1359801205 LMissing descriptors for photos 1359801205 and 1359801209 LMissing descriptors for photos 1359801209 and 1359801212 LMissing descriptors for photos 1359801212 and 1359801217 LMissing descriptors for photos 1359801217 and 1359801221 LMissing descriptors for photos 1359801221 and 1359801226 LMissing descriptors for photos 1359801226 and 1359801370 LMissing descriptors for photos 1359801370 and 1359801959 LMissing descriptors for photos 1359801959 and 1359801962 LMissing descriptors for photos 1359801962 and 1359801967 LMissing descriptors for photos 1359801967 and 1359801972 LMissing descriptors for photos 1359801972 and 1359801976 LMissing descriptors for photos 1359801976 and 1359801982 LMissing descriptors for photos 1359801982 and 1359802400 LMissing descriptors for photos 1359802400 and 1359802404 LMissing descriptors for photos 1359802404 and 1359802410 LMissing descriptors for photos 1359802410 and 1359802413 LMissing descriptors for photos 1359802413 and 1359802420 LMissing descriptors for photos 1359802420 and 1359802426 LMissing descriptors for photos 1359802426 and 1359803100 LMissing descriptors for photos 1359803100 and 1359803103 LMissing descriptors for photos 1359803103 and 1359803108 LMissing descriptors for photos 1359803108 and 1359803112 LMissing descriptors for photos 1359803112 and 1359803116 LMissing descriptors for photos 1359803116 and 1359803120 LMissing descriptors for photos 1359803120 and 1359803542 LMissing descriptors for photos 1359803542 and 1359803546 LMissing descriptors for photos 1359803546 and 1359803547 LMissing descriptors for photos 1359803547 and 1359803570 LMissing descriptors for photos 1359803570 and 1359803573 LMissing descriptors for photos 1359803573 and 1359803577 LMissing descriptors for photos 1359803577 and 1359805065 LMissing descriptors for photos 1359805065 and 1359805072 LMissing descriptors for photos 1359805072 and 1359805077 LMissing descriptors for photos 1359805077 and 1359805082 LMissing descriptors for photos 1359805082 and 1359805091 LMissing descriptors for photos 1359805091 and 1359805100 LMissing descriptors for photos 1359805100 and 1359806158 LMissing descriptors for photos 1359806158 and 1359806174 LMissing descriptors for photos 1359806174 and 1359806186 LMissing descriptors for photos 1359806186 and 1359806191 LMissing descriptors for photos 1359806191 and 1359806208 LMissing descriptors for photos 1359806208 and 1359806220 LMissing descriptors for photos 1359806220 and 1359806601 LMissing descriptors for photos 1359806601 and 1359806607 LMissing descriptors for photos 1359806607 and 1359806611 LMissing descriptors for photos 1359806611 and 1359806615 LMissing descriptors for photos 1359806615 and 1359806618 LMissing descriptors for photos 1359806618 and 1359806622 LMissing descriptors for photos 1359806622 and 1359806891 LMissing descriptors for photos 1359806891 and 1359806895 LMissing descriptors for photos 1359806895 and 1359806901 LMissing descriptors for photos 1359806901 and 1359806905 LMissing descriptors for photos 1359806905 and 1359806982 LMissing descriptors for photos 1359806982 and 1359806987 LMissing descriptors for photos 1359806987 and 1359807300 LMissing descriptors for photos 1359807300 and 1359807307 LMissing descriptors for photos 1359807307 and 1359807312 LMissing descriptors for photos 1359807312 and 1359807343 LMissing descriptors for photos 1359807343 and 1359807358 LMissing descriptors for photos 1359807358 and 1359807364 L 20052025 Removing 2 photos because of the 'same image' condition Total on : 240.44252799999998 list_time_on 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 : 204 time used for this insertion : 0.06147646903991699 photos_removed : len 2 elapsed_time : remove_photo_duplicate 0.09509491920471191 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.01182246208190918 NUMBER BATCH : 3 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR 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 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': '20052025', 'map_nb_amount': {0: 0, 1: 14, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 840.4441771507263, 'nb_balles_papier': 0.00015000000000000001, 'begin_time_port': 'image_20052025_10_00_02_327947m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00015000000000000001 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! LLLLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 1 list_same_port_ids : [23166364] find same portfolio which already exist 23166364 , we will use it # 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`=23166364 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.6020641326904297 # DISPLAY ALL COLLECTED DATA : {'20052025': {'nb_upload': 204, 'nb_taggue_class': 51, 'nb_taggue_densite': 51, 'nb_descriptors': 17}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1359807364, 1359807358, 1359807343, 1359807312, 1359807307, 1359807300, 1359806987, 1359806982, 1359806905, 1359806901, 1359806895, 1359806891, 1359806622, 1359806618, 1359806615, 1359806611, 1359806607, 1359806601, 1359806220, 1359806208, 1359806191, 1359806186, 1359806174, 1359806158, 1359805100, 1359805091, 1359805082, 1359805077, 1359805072, 1359805065, 1359803577, 1359803573, 1359803570, 1359803547, 1359803546, 1359803542, 1359803120, 1359803116, 1359803112, 1359803108, 1359803103, 1359803100, 1359802426, 1359802420, 1359802413, 1359802410, 1359802404, 1359802400, 1359801982, 1359801976, 1359801972, 1359801967, 1359801962, 1359801959, 1359801370, 1359801226, 1359801221, 1359801217, 1359801212, 1359801209, 1359801205, 1359800747, 1359800744, 1359800741, 1359800737, 1359800733, 1359800730, 1359800455, 1359800450, 1359800448, 1359800444, 1359800437, 1359800430, 1359800152, 1359800119, 1359800112, 1359800085, 1359800038, 1359800030, 1359799817, 1359799813, 1359799809, 1359799805, 1359799801, 1359799796, 1359799616, 1359799612, 1359799610, 1359799607, 1359799606, 1359799603, 1359799164, 1359799161, 1359799157, 1359799151, 1359799146, 1359799141, 1359798973, 1359798969, 1359798965] Looping around the photos to save general results len do output : 1 /23161629Didn'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, '2908419') ('4189', '23161629', '1359807364', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359807358', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359807343', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359807312', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359807307', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359807300', None, None, 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None, None, '2908419') ('4189', '23161629', '1359799616', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359799612', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359799610', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359799607', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359799606', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359799603', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359799164', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359799161', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359799157', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359799151', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359799146', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359799141', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359798973', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359798969', None, None, None, None, None, '2908419') ('4189', None, None, None, None, None, None, None, '2908419') ('4189', '23161629', '1359798965', None, None, None, None, None, '2908419') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.34201526641845703 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.5260374546051025 time spend to save output : 0.34282732009887695 total time spend for step 1 : 2.8688647747039795 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 1.84user 1.03system 0:07.89elapsed 36%CPU (0avgtext+0avgdata 101928maxresident)k 424inputs+232outputs (2major+55184minor)pagefaults 0swaps