python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4876' -s datou_current_4876 -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 : 1834651 load datou : 4876 # 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 : 4876, datou_cur_ids : ['2557304'] with mtr_portfolio_ids : ['20278395'] and first list_photo_ids : [] new path : /proc/1834651/ 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 : 0.015844345092773438 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Feb 6 02:14:27 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'}] (('01', 4), ('00', 54), ('02', 2)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 06022025 20278395 Nombre de photos uploadées : 60 / 23040 (0%) 06022025 20278395 Nombre de photos taguées (types de déchets): 0 / 60 (0%) 06022025 20278395 Nombre de photos taguées (volume) : 0 / 60 (0%) elapsed_time : load_data_split_time_score 3.337860107421875e-06 elapsed_time : order_list_meta_photo_and_scores 8.58306884765625e-06 ???????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0031006336212158203 elapsed_time : insert_dashboard_record_day_entry 0.14804458618164062 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 elapsed_time : list_photo_by_hashtags 0.0010914802551269531 photos_removed : len 0 elapsed_time : load_duplicate_info 0.011711597442626953 ***** BEGIN SPLIT TIME ***** True 1738800000.0 `1738796625.010141 1738796400.0 `1738796634.009135 1738796400.0 `1738796644.010154 1738796400.0 `1738796654.010144 1738796400.0 `1738796664.010137 1738796400.0 `1738796674.01016 1738796400.0 `1738796684.010149 1738796400.0 `1738796694.009157 1738796400.0 `1738796704.010138 1738796400.0 `1738796734.010143 1738796400.0 `1738796744.010144 1738796400.0 `1738796754.010141 1738796400.0 `1738796994.010385 1738796400.0 `1738797004.010243 1738796400.0 `1738797104.010278 1738796400.0 `1738797114.009125 1738796400.0 `1738797124.010166 1738796400.0 `1738797134.010253 1738796400.0 `1738797234.009129 1738796400.0 `1738797424.010136 1738797300.0 `1738797434.009126 1738797300.0 `1738797444.010136 1738797300.0 `1738797454.010147 1738797300.0 `1738797464.010144 1738797300.0 `1738797474.010138 1738797300.0 `1738797484.010143 1738797300.0 `1738797494.010146 1738797300.0 `1738797514.010135 1738797300.0 `1738797524.010135 1738797300.0 `1738797534.010163 1738797300.0 `1738797544.01016 1738797300.0 `1738797884.009128 1738797300.0 `1738797884.009128 1738797300.0 `1738797894.010136 1738797300.0 `1738797894.010136 1738797300.0 `1738797904.01016 1738797300.0 `1738797904.01016 1738797300.0 `1738797914.010139 1738797300.0 `1738797914.010139 1738797300.0 `1738797924.010141 1738797300.0 `1738797924.010141 1738797300.0 `1738797934.01015 1738797300.0 `1738797934.01015 1738797300.0 `1738798224.010135 1738798200.0 `1738798235.010145 1738798200.0 `1738798244.009131 1738798200.0 `1738798254.010151 1738798200.0 `1738798264.010147 1738798200.0 `1738798274.010138 1738798200.0 `1738798284.010142 1738798200.0 `1738798294.010149 1738798200.0 `1738798305.010146 1738798200.0 `1738798314.009128 1738798200.0 `1738798324.010165 1738798200.0 `1738800504.010139 1738800000.0 `1738801053.010145 1738800900.0 `1738801603.010142 1738800900.0 `1738802153.010141 1738801800.0 `1738803824.009127 1738803600.0 `1738804374.010157 1738803600.0 list printed: [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], [19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42], [43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53], [54], [55, 56], [57], [58, 59]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.008120536804199219 ***** END SPLIT TIME ***** NUMBER BATCH : 7 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] 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 result_one_balle_Type_JRM:{'day': '06022025', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 608.9989881515503, 'nb_balles_papier': 0, 'begin_time_port': 'image_06022025_00_03_45_10141.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We reject this portfolio because of the condition_save_data : 2025-02-06 00:03:45.010141 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 result_one_balle_Type_JRM:{'day': '06022025', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 510.00001406669617, 'nb_balles_papier': 0, 'begin_time_port': 'image_06022025_00_17_04_10136.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We reject this portfolio because of the condition_save_data : 2025-02-06 00:17:04.010136 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 result_one_balle_Type_JRM:{'day': '06022025', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 100.00003004074097, 'nb_balles_papier': 0, 'begin_time_port': 'image_06022025_00_30_24_10135.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We reject this portfolio because of the condition_save_data : 2025-02-06 00:30:24.010135 We have rejected 6 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.02893209457397461 # DISPLAY ALL COLLECTED DATA : {'06022025': {'nb_upload': 60, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1335082875, 1335082865, 1335082835, 1335082834, 1335082823, 1335082761, 1335082714, 1335082666, 1335082596, 1335082529, 1335082479, 1335082355, 1335082113, 1335082055, 1335082034, 1335081991, 1335081967, 1335081914, 1335081895, 1335081833, 1335081829, 1335081763, 1335081761, 1335081691, 1335081466, 1335081397, 1335081339, 1335081274, 1335081214, 1335081146, 1335080801, 1335080797, 1335080777, 1335080772, 1335080767, 1335080734, 1335080692, 1335080691, 1335080686, 1335080677, 1335080675, 1335080674, 1335080618, 1335080563, 1335080515, 1335080470, 1335080398, 1335080352, 1335080130, 1335080033, 1335080007, 1335080002, 1335079991, 1335079988, 1335077989, 1335076264, 1335076191, 1335076144, 1335076097, 1335076055] Looping around the photos to save general results len do output : 1 /20278395Didn'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 ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082875', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082865', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082835', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082834', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082823', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082761', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082714', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082666', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082596', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082529', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082479', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082355', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082113', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082055', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335082034', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081991', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081967', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081914', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081895', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081833', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081829', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081763', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081761', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081691', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081466', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081397', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081339', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081274', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081214', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335081146', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080801', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080797', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080777', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080772', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080767', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080734', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080692', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080691', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080686', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080677', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080675', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080674', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080618', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080563', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080515', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080470', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080398', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080352', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080130', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080033', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080007', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335080002', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335079991', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335079988', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335077989', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335076264', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335076191', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335076144', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335076097', None, None, None, None, None, '2557304') ('4876', None, None, None, None, None, None, None, '2557304') ('4876', '20278395', '1335076055', None, None, None, None, None, '2557304') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 61 time used for this insertion : 0.023273944854736328 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.29252171516418457 time spend to save output : 0.023886680603027344 total time spend for step 1 : 0.3164083957672119 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 1.36user 0.63system 0:03.25elapsed 61%CPU (0avgtext+0avgdata 100244maxresident)k 0inputs+40outputs (5major+48481minor)pagefaults 0swaps