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 : 3081761 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 2026-04-16 11:00:30.044910 Current got : datou_id : 4189, datou_cur_ids : ['4375070'] with mtr_portfolio_ids : ['30990357'] and first list_photo_ids : [] new path : /proc/3081761/ 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 , we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.015361309051513672 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Apr 16 11:00:30 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', 43),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 17} L16042026 30990357 Nombre de photos uploadées : 43 / 23040 (0%) 16042026 30990357 Nombre de photos taguées (types de déchets): 17 / 43 (39%) 16042026 30990357 Nombre de photos taguées (volume) : 17 / 43 (39%) elapsed_time : load_data_split_time_score 1.430511474609375e-06 elapsed_time : order_list_meta_photo_and_scores 1.33514404296875e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL?????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.003442525863647461 LCatched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.22644662857055664 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 elapsed_time : list_photo_by_hashtags 0.016444921493530273 Creating list_photo_total elapsed_time : select_descriptors 1.3526859283447266 16042026 30990357 Nombre de photos avec descriptors (type 5680) : 17 / 43 (39%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1415904813 photo_id_prec : 0 L0:00:00|ON:LLLLLLLLLLLLLLLLERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1415906644 photo_id_prec : 1415904848 LMissing descriptors for photos 1415906644 and 1415906688 LMissing descriptors for photos 1415906688 and 1415906827 LMissing descriptors for photos 1415906827 and 1415906828 LMissing descriptors for photos 1415906828 and 1415906829 LMissing descriptors for photos 1415906829 and 1415907011 LMissing descriptors for photos 1415907011 and 1415907310 LMissing descriptors for photos 1415907310 and 1415907311 LMissing descriptors for photos 1415907311 and 1415907312 LMissing descriptors for photos 1415907312 and 1415907314 LMissing descriptors for photos 1415907314 and 1415907316 LMissing descriptors for photos 1415907316 and 1415907317 LMissing descriptors for photos 1415907317 and 1415907329 LMissing descriptors for photos 1415907329 and 1415907330 LMissing descriptors for photos 1415907330 and 1415907331 LMissing descriptors for photos 1415907331 and 1415907332 LMissing descriptors for photos 1415907332 and 1415907333 LMissing descriptors for photos 1415907333 and 1415907334 LMissing descriptors for photos 1415907334 and 1415907345 LMissing descriptors for photos 1415907345 and 1415907347 LMissing descriptors for photos 1415907347 and 1415907348 LMissing descriptors for photos 1415907348 and 1415907349 LMissing descriptors for photos 1415907349 and 1415907350 LMissing descriptors for photos 1415907350 and 1415907351 LMissing descriptors for photos 1415907351 and 1415907355 LMissing descriptors for photos 1415907355 and 1415907356 L 16042026 Removing 0 photos because of the 'same image' condition Total on : 0 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 43 time used for this insertion : 0.020751476287841797 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.06298232078552246 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.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.006147623062133789 NUMBER BATCH : 1 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR 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 LLresult_one_balle_Type_JRM:{'day': '16042026', 'map_nb_amount': {0: 3, 1: 13, 2: 0, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 419.9235429763794, 'nb_balles_papier': 0.00017, 'begin_time_port': 'image_16042026_10_00_02_411842_0001.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00017 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 1 list_same_port_ids : [30990357] find same portfolio which already exist 30990357 , 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`=30990357 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.7615633010864258 # DISPLAY ALL COLLECTED DATA : {'16042026': {'nb_upload': 43, 'nb_taggue_class': 17, 'nb_taggue_densite': 17, 'nb_descriptors': 17}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1415907356, 1415907355, 1415907351, 1415907350, 1415907349, 1415907348, 1415907347, 1415907345, 1415907334, 1415907333, 1415907332, 1415907331, 1415907330, 1415907329, 1415907317, 1415907316, 1415907314, 1415907312, 1415907311, 1415907310, 1415907011, 1415906829, 1415906828, 1415906827, 1415906688, 1415906644, 1415904852, 1415904851, 1415904850, 1415904849, 1415904848, 1415904847, 1415904834, 1415904833, 1415904832, 1415904831, 1415904830, 1415904829, 1415904817, 1415904815, 1415904814, 1415904813, 1415904812] Looping around the photos to save general results len do output : 1 /30990357Didn'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, '4375070') ('4189', '30990357', '1415907356', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907355', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907351', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907350', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907349', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907348', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907347', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907345', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907334', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907333', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907332', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907331', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907330', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907329', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907317', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907316', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907314', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907312', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907311', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907310', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415907011', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415906829', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415906828', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415906827', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415906688', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415906644', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904852', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904851', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904850', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904849', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904848', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904847', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904834', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904833', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904832', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904831', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904830', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904829', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904817', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904815', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904814', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904813', None, None, None, None, None, '4375070') ('4189', None, None, None, None, None, None, None, '4375070') ('4189', '30990357', '1415904812', None, None, None, None, None, '4375070') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 44 time used for this insertion : 0.022525310516357422 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.5104663372039795 time spend to save output : 0.023077011108398438 total time spend for step 1 : 2.533543348312378 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 1.46user 0.56system 0:06.62elapsed 30%CPU (0avgtext+0avgdata 111016maxresident)k 152inputs+184outputs (1major+52763minor)pagefaults 0swaps