python /home/admin/mtr/script_for_cron.py -j default -m 20 -a 'python3 ~/workarea/git/Velours/python/prod/datou.py -j batch_current -a 4960' -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 : 9723 load datou : 4960 # 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 : 4960, datou_cur_ids : ['4017108'] with mtr_portfolio_ids : ['24399624'] and first list_photo_ids : [] new path : /proc/9723/ 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 : 0.15247035026550293 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Nov 7 15:59:23 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': 3847, 'mtr_user_id': 31, 'name': 'learn_MM_generique_050224', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '13096157,13096155,13096163,13096159,13301956,13095886,13096162,13096160,13358264,13096158,5515868,13276803', 'photo_hashtag_type': 4932, 'photo_desc_type': 6032, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] 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'}] (('00', 26), ('01', 37), ('02', 268), ('03', 325), ('04', 29), ('06', 3), ('07', 15), ('08', 18), ('09', 43), ('10', 23), ('11', 4), ('12', 5), ('14', 5)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 801} 29062025 24399624 Nombre de photos uploadées : 801 / 23040 (3%) 29062025 24399624 Nombre de photos taguées (types de déchets): 801 / 801 (100%) 29062025 24399624 Nombre de photos taguées (volume) : 801 / 801 (100%) elapsed_time : load_data_split_time_score 1.430511474609375e-06 elapsed_time : order_list_meta_photo_and_scores 0.0001900196075439453 elapsed_time : fill_and_build_computed_from_old_data 0.05390739440917969 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.20529484748840332 Creating list_photo_total elapsed_time : select_descriptors 0.018882274627685547 29062025 24399624 Nombre de photos avec descriptors (type 6032) : 0 / 0 (0%) Missing descriptors for photos 0 and 1368679883 0:00:00|ON:Missing descriptors for photos 1368679883 and 1368680215 Missing descriptors for photos 1368680215 and 1368680214 Missing descriptors for photos 1368680214 and 1368680213 Missing descriptors for photos 1368680213 and 1368680101 Missing descriptors for photos 1368680101 and 1368680211 Missing descriptors for photos 1368680211 and 1368680087 Missing descriptors for photos 1368680087 and 1368680205 Missing descriptors for photos 1368680205 and 1368680514 Missing descriptors for photos 1368680514 and 1368680402 Missing descriptors for photos 1368680402 and 1368681247 Missing descriptors for photos 1368681247 and 1368680660 Missing descriptors for photos 1368680660 and 1368681612 Missing 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1368782295 and 1368846065 29062025 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 Warning in study_and_display_distrib_list : min=max : -1 -1 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 801 time used for this insertion : 0.21868896484375 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.262775182723999 Creating list_photo_total elapsed_time : count_sum_diff_and_build_graph 0.0071294307708740234 Total photos : 801 .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info 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.can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info Total photos : 801 Number of lists : 0 counter photos in port : 0 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 0 photos in 0 portfolios ! hashtag : film_pedb(2107760237) : 0 photos in 0 portfolios ! hashtag : flux_dev(2107760238) : 0 photos in 0 portfolios ! hashtag : jrm(495916461) : 0 photos in 0 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 0 photos in 0 portfolios ! hashtag : pehd_pp(2107760239) : 0 photos in 0 portfolios ! hashtag : pet_clair(2107755846) : 0 photos in 0 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 0 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.026501893997192383 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 2.6226043701171875e-06 today str has not a value , we define it as the date of the first image todaystr_first : 29062025 attention , prev_timestamp is 0 , we do nothing o**o*o************************o**************o*****o*oo*o*o****o**ooooooooooooooooo*ooooooooooooooooooooooooo*oooooo*ooooooooooooooooooooooooooooooooo*oooooooooooooooooooooooooo*oooooooooooooooo*ooooooooooooo*oooooooooooooo*oooooooo*oooooo*oooo*oooooo*ooooooooooooooooooooooooo*oooooooo*oooooooooooo*ooooooo*oo*oooooooo*oooooooooooooooooooo*oooo*ooooooooooooo*oooooooooooooooooooo*oooooooooooo*oooooooooooooooo*ooooooooooooooooooooooooooo*oo*oooooooooo*oooooooo*ooooooooooo*oooooo*ooo**ooooooooooo*o*oooooo*oooooooooooooooooooooooooo*oooooooooooooooo*oo*oooooooooooooooooo*ooooooooooooooo*oooooooooooooooooo**oooooooooo*ooooooooooooooooooooooooooo*****o***ooo**********o*oooooo*ooooo****o*oo****oo*o*o*o****o******************Count Time bigger than 30s : 152 #Number Photos for regression : {'29062025': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 7611.995079755783, 2107751016: 0, 2107751017: 0}}} 29062025|aluminium, 05102018_papier_non_papier_dense:0 29062025|aluminium, 05102018_papier_non_papier_peu_dense:0 29062025|aluminium, 05102018_papier_non_papier_presque_vide:0 29062025|aluminium, 05102018_papier_non_papier_tres_dense:0 29062025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 29062025|ela, 05102018_papier_non_papier_dense:0 29062025|ela, 05102018_papier_non_papier_peu_dense:0 29062025|ela, 05102018_papier_non_papier_presque_vide:0 29062025|ela, 05102018_papier_non_papier_tres_dense:0 29062025|ela, 05102018_papier_non_papier_tres_peu_dense:0 29062025|emr, 05102018_papier_non_papier_dense:0 29062025|emr, 05102018_papier_non_papier_peu_dense:0 29062025|emr, 05102018_papier_non_papier_presque_vide:0 29062025|emr, 05102018_papier_non_papier_tres_dense:0 29062025|emr, 05102018_papier_non_papier_tres_peu_dense:0 29062025|film_pedb, 05102018_papier_non_papier_dense:0 29062025|film_pedb, 05102018_papier_non_papier_peu_dense:0 29062025|film_pedb, 05102018_papier_non_papier_presque_vide:0 29062025|film_pedb, 05102018_papier_non_papier_tres_dense:0 29062025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 29062025|flux_dev, 05102018_papier_non_papier_dense:0 29062025|flux_dev, 05102018_papier_non_papier_peu_dense:0 29062025|flux_dev, 05102018_papier_non_papier_presque_vide:0 29062025|flux_dev, 05102018_papier_non_papier_tres_dense:0 29062025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 29062025|jrm, 05102018_papier_non_papier_dense:0 29062025|jrm, 05102018_papier_non_papier_peu_dense:0 29062025|jrm, 05102018_papier_non_papier_presque_vide:0 29062025|jrm, 05102018_papier_non_papier_tres_dense:0 29062025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 29062025|pcm, 05102018_papier_non_papier_dense:0 29062025|pcm, 05102018_papier_non_papier_peu_dense:0 29062025|pcm, 05102018_papier_non_papier_presque_vide:0 29062025|pcm, 05102018_papier_non_papier_tres_dense:0 29062025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 29062025|pcnc, 05102018_papier_non_papier_dense:0 29062025|pcnc, 05102018_papier_non_papier_peu_dense:0 29062025|pcnc, 05102018_papier_non_papier_presque_vide:0 29062025|pcnc, 05102018_papier_non_papier_tres_dense:0 29062025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 29062025|pehd_pp, 05102018_papier_non_papier_dense:0 29062025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 29062025|pehd_pp, 05102018_papier_non_papier_presque_vide:0 29062025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 29062025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 29062025|pet_clair, 05102018_papier_non_papier_dense:0 29062025|pet_clair, 05102018_papier_non_papier_peu_dense:0 29062025|pet_clair, 05102018_papier_non_papier_presque_vide:0 29062025|pet_clair, 05102018_papier_non_papier_tres_dense:0 29062025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 29062025|refus, 05102018_papier_non_papier_dense:0 29062025|refus, 05102018_papier_non_papier_peu_dense:0 29062025|refus, 05102018_papier_non_papier_presque_vide:0 29062025|refus, 05102018_papier_non_papier_tres_dense:0 29062025|refus, 05102018_papier_non_papier_tres_peu_dense:0 29062025|tapis_vide, 05102018_papier_non_papier_dense:0 29062025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 29062025|tapis_vide, 05102018_papier_non_papier_presque_vide:7611.995079755783 29062025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 29062025|tapis_vide, 05102018_papier_non_papier_tres_peu_dense:0 #Number Photos for regression amount gros magasin papier (time_diff then nb_photo) : We have not displayed the number of photos removed for one material since Rungis_Papier wasn't in the thcl used ! 29062025_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 0 Number amount portfolio for this type of dechet : ela 0 Number amount portfolio for this type of dechet : emr 0 Number amount portfolio for this type of dechet : film_pedb 0 Number amount portfolio for this type of dechet : flux_dev 0 Number amount portfolio for this type of dechet : jrm 0 Number amount portfolio for this type of dechet : pcm 0 Number amount portfolio for this type of dechet : pcnc 0 Number amount portfolio for this type of dechet : pehd_pp 0 Number amount portfolio for this type of dechet : pet_clair 0 Number amount portfolio for this type of dechet : refus 0 Number amount portfolio for this type of dechet : tapis_vide 735 Created to study and clean : 28310628 with name like 29062025_tapis_vide_05102018_papier_non_papier_presque_vide NUMBER BATCH : 0 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['pcnc', 'gm', 'emr', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev_rigide', 'aluminium', 'tapis_vide', 'refus', 'gros_cartons', 'gm', 'flux_dev_rigide', 'gros_cartons'] We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 6.1163489818573 # DISPLAY ALL COLLECTED DATA : {'29062025': {'nb_upload': 801, 'nb_taggue_class': 801, 'nb_taggue_densite': 801, 'nb_descriptors': 0, 'number_port': 0, 'count_photo_in_port': 0, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 0, 'nb_portfolios': 0}, 'film_pedb': {'nb_photos': 0, 'nb_portfolios': 0}, 'flux_dev': {'nb_photos': 0, 'nb_portfolios': 0}, 'jrm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 0, 'nb_portfolios': 0}, 'pehd_pp': {'nb_photos': 0, 'nb_portfolios': 0}, 'pet_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1368846065, 1368782295, 1368781513, 1368780923, 1368780918, 1368780824, 1368773595, 1368773344, 1368773096, 1368771656, 1368771249, 1368768159, 1368767889, 1368767551, 1368767447, 1368763864, 1368763230, 1368762759, 1368762756, 1368761790, 1368761614, 1368761607, 1368761358, 1368760196, 1368760088, 1368760087, 1368757993, 1368757964, 1368757962, 1368756258, 1368756220, 1368755975, 1368755943, 1368755911, 1368753959, 1368753921, 1368753910, 1368753863, 1368753836, 1368749606, 1368749604, 1368749549, 1368749130, 1368749029, 1368748492, 1368745992, 1368745198, 1368745163, 1368743800, 1368743772, 1368743743, 1368743691, 1368743621, 1368743447, 1368743404, 1368743385, 1368740374, 1368740276, 1368738688, 1368738676, 1368738660, 1368738655, 1368738649, 1368737574, 1368737489, 1368737416, 1368737372, 1368735507, 1368735471, 1368734891, 1368734835, 1368734651, 1368734002, 1368733610, 1368731581, 1368731510, 1368731465, 1368731291, 1368731160, 1368730889, 1368730239, 1368722886, 1368722520, 1368722517, 1368722512, 1368722508, 1368721884, 1368721834, 1368721833, 1368721565, 1368720308, 1368720271, 1368720234, 1368719350, 1368719337, 1368719332, 1368719329, 1368719328, 1368719282, 1368716673] Looping around the photos to save general results len do output : 1 /24399624Didn'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 ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', '1368846065', None, None, None, None, None, '4017108') ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', '1368782295', None, None, None, None, None, '4017108') ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', '1368781513', None, None, None, None, None, '4017108') ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', 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'4017108') ('4960', '24399624', '1368720308', None, None, None, None, None, '4017108') ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', '1368720271', None, None, None, None, None, '4017108') ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', '1368720234', None, None, None, None, None, '4017108') ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', '1368719350', None, None, None, None, None, '4017108') ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', '1368719337', None, None, None, None, None, '4017108') ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', '1368719332', None, None, None, None, None, '4017108') ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', '1368719329', None, None, None, None, None, '4017108') ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', '1368719328', None, None, None, None, None, '4017108') ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', '1368719282', None, None, None, None, None, '4017108') ('4960', None, None, None, None, None, None, None, '4017108') ('4960', '24399624', '1368716673', None, None, None, None, None, '4017108') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.039885520935058594 save_final save missing photos in datou_result : time spend for datou_step_exec : 6.935800313949585 time spend to save output : 0.0407412052154541 total time spend for step 1 : 6.976541519165039 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 1.21user 1.12system 0:10.87elapsed 21%CPU (0avgtext+0avgdata 105396maxresident)k 0inputs+208outputs (1major+50104minor)pagefaults 0swaps