python /home/admin/mtr/script_for_cron.py -j default -m 20 -a 'python3 ~/workarea/git/Velours/python/prod/datou.py -j batch_current -C 2612488' -s traitement_sts -M 0 -S 0 -U 100,80,95 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/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', '/home/admin/workarea/git/apy', '/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 : 410934 load datou : 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 ! 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 : step 0 init_dummy_multi_datou is not linked in the step_by_step architecture ! WARNING : step 1294 init_dummy_multi_datou is not linked in the step_by_step architecture ! 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 ! DataTypes for each output/input checked ! 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 : (photo_id, hashtag_id, score_max) was removed should we ? (x0, y0, x1, y1) was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (x0, y0, x1, y1) was removed should we ? chemin de la photo 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 updating current state to 1 list_input_json: [] Current got : datou_id : 4346, datou_cur_ids : ['2612488'] with mtr_portfolio_ids : ['20529099'] and first list_photo_ids : [] new path : /proc/410934/ 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 : 0.20105934143066406 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Tue Feb 25 11:00:57 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': 3543, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_cedre_effnet_b0_020523', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'entrant,sac,tapis_vide,technicien', 'svm_portfolios_learning': '9645769,9645768,9645877,9645767', 'photo_hashtag_type': 4602, 'photo_desc_type': 5786, 'type_classification': 'tf_classification2', 'hashtag_id_list': '624599895,492618350,2107748999,500976277'}] thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', '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': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('00', 2), ('01', 1), ('02', 1), ('03', 1), ('04', 1), ('05', 8), ('06', 6), ('07', 6), ('08', 51)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 54, 2: 17, 3: 6} 14022025 20529099 Nombre de photos uploadées : 77 / 23040 (0%) 14022025 20529099 Nombre de photos taguées (types de déchets): 77 / 77 (100%) 14022025 20529099 Nombre de photos taguées (volume) : 77 / 77 (100%) elapsed_time : load_data_split_time_score 4.5299530029296875e-06 elapsed_time : order_list_meta_photo_and_scores 4.887580871582031e-05 elapsed_time : fill_and_build_computed_from_old_data 0.0044515132904052734 elapsed_time : insert_dashboard_record_day_entry 0.024476289749145508 Creating list_photo_by_hashtags elapsed_time : list_photo_by_hashtags 0.01056814193725586 Creating list_photo_total elapsed_time : select_descriptors 6.364272594451904 14022025 20529099 Nombre de photos avec descriptors (type 5786) : 65 / 65 (100%) Missing descriptors for photos 0 and 1337465271 0:00:00|ON:Missing descriptors for photos 1337465271 and 1337471737 Missing descriptors for photos 1337471737 and 1337485764 Missing descriptors for photos 1337485764 and 1337492757 Missing descriptors for photos 1337492757 and 1337506801 Missing descriptors for photos 1337506801 and 1337515020 5:00:01.000102|OFF:3:24:01.001095|ON:0:00:58.998697|OFF:0:01:30.000168|ON:Missing descriptors for photos 1337568555 and 1337568601 Missing descriptors for photos 1337568601 and 1337568611 0:03:59.000066|OFF:0:02:00.999887|ON:0:01:30.000175|OFF:0:00:30.000267|ON:Missing descriptors for photos 1337571266 and 1337571288 Missing descriptors for photos 1337571288 and 1339324854 14022025 Removing 59 photos because of the 'same image' condition Total on : 18388.999040000002 list_time_on Total off : 12482.001417 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 77 time used for this insertion : 0.06116914749145508 photos_removed : len 59 elapsed_time : remove_photo_duplicate 0.08885312080383301 To do, maybe not at the correct place ! .............................................................................force hashtag to entrant elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.0072040557861328125 NUMBER BATCH : 3 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['entrant'] We have rejected 6 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 todo elapsed_time : count_nb_balles_and_create_portfolio 0.024611234664916992 # DISPLAY ALL COLLECTED DATA : {'14022025': {'nb_upload': 77, 'nb_taggue_class': 77, 'nb_taggue_densite': 77, 'nb_descriptors': 65}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1339324854, 1337571288, 1337571266, 1337570859, 1337570836, 1337569428, 1337569423, 1337568683, 1337568676, 1337568641, 1337568637, 1337568611, 1337568601, 1337568555, 1337568551, 1337568295, 1337568047, 1337567883, 1337567437, 1337567322, 1337567287, 1337567281, 1337567219, 1337567177, 1337567173, 1337566931, 1337566926, 1337566883, 1337566872, 1337566811, 1337565821, 1337565593, 1337565524, 1337565482, 1337565424, 1337565381, 1337565360, 1337565286, 1337565277, 1337565242, 1337565238, 1337565024, 1337565018, 1337564037, 1337563999, 1337563953, 1337563773, 1337563765, 1337563386, 1337563381, 1337563131, 1337563126, 1337562993, 1337562988, 1337557499, 1337557118, 1337557111, 1337557104, 1337554209, 1337553692, 1337551712, 1337551680, 1337549417, 1337548715, 1337544694, 1337542994, 1337540991, 1337540971, 1337540388, 1337533134, 1337533079, 1337515020, 1337506801, 1337492757, 1337485764, 1337471737, 1337465271] Looping around the photos to save general results len do output : 1 /20529099Didn'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 ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1339324854', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337571288', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337571266', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337570859', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337570836', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337569428', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337569423', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337568683', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337568676', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337568641', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337568637', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337568611', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337568601', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337568555', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337568551', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337568295', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337568047', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337567883', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337567437', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337567322', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337567287', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337567281', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337567219', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337567177', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337567173', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337566931', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337566926', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337566883', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337566872', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337566811', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337565821', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337565593', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337565524', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337565482', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337565424', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337565381', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337565360', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337565286', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337565277', None, None, None, None, None, '2612488') ('4346', None, None, None, None, 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None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337557499', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337557118', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337557111', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337557104', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337554209', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337553692', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337551712', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337551680', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337549417', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337548715', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337544694', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337542994', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337540991', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337540971', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337540388', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337533134', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337533079', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337515020', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337506801', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337492757', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337485764', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337471737', None, None, None, None, None, '2612488') ('4346', None, None, None, None, None, None, None, '2612488') ('4346', '20529099', '1337465271', None, None, None, None, None, '2612488') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 78 time used for this insertion : 0.1903071403503418 save_final save missing photos in datou_result : time spend for datou_step_exec : 6.665632009506226 time spend to save output : 0.1911020278930664 total time spend for step 1 : 6.856734037399292 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 1.23user 1.07system 0:11.04elapsed 20%CPU (0avgtext+0avgdata 102424maxresident)k 424inputs+560outputs (3major+49128minor)pagefaults 0swaps