python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4891' -s datou_current_4891 -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 : 1952976 load datou : 4891 # 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 : 4891, datou_cur_ids : ['2933422'] with mtr_portfolio_ids : ['23235267'] and first list_photo_ids : [] new path : /proc/1952976/ 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 : 0.04973149299621582 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu May 22 08:30:29 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': 3892, 'mtr_user_id': 31, 'name': 'learn_MM_generique_26022025', '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': '17736100,17736101,17736102,17736103,17736104,20837895,20837896,17736107,17736108,17736109,17736110,18876169', 'photo_hashtag_type': 4989, 'photo_desc_type': 6092, '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', 4), ('01', 3), ('02', 3), ('03', 5), ('04', 4), ('05', 12), ('06', 191), ('07', 191), ('08', 103)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 383} 22052025 23235267 Nombre de photos uploadées : 516 / 23040 (2%) 22052025 23235267 Nombre de photos taguées (types de déchets): 383 / 516 (74%) 22052025 23235267 Nombre de photos taguées (volume) : 383 / 516 (74%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 0.00019073486328125 ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.029464006423950195 elapsed_time : insert_dashboard_record_day_entry 0.030284881591796875 Creating list_photo_total elapsed_time : select_descriptors 17.00875210762024 22052025 23235267 Nombre de photos avec descriptors (type 6092) : 333 / 447 (74%) Missing descriptors for photos 0 and 1360248372 0:00:00|ON:Missing descriptors for photos 1360248372 and 1360339653 Missing descriptors for photos 1360339653 and 1360258506 Missing descriptors for photos 1360258506 and 1360267035 Missing descriptors for photos 1360267035 and 1360270435 Missing descriptors for photos 1360270435 and 1360282005 Missing descriptors for photos 1360282005 and 1360288926 Missing descriptors for photos 1360288926 and 1360315417 Missing descriptors for photos 1360315417 and 1360320821 Missing descriptors for photos 1360320821 and 1360336060 Missing descriptors for photos 1360336060 and 1360394552 Missing descriptors for photos 1360394552 and 1360339929 Missing descriptors for photos 1360339929 and 1360349239 Missing descriptors for photos 1360349239 and 1360359639 Missing descriptors for photos 1360359639 and 1360362969 Missing descriptors for photos 1360362969 and 1360365777 Missing descriptors for photos 1360365777 and 1360373678 Missing descriptors for photos 1360373678 and 1360379137 Missing descriptors for photos 1360379137 and 1360387452 Missing descriptors for photos 1360387452 and 1360390426 Missing descriptors for photos 1360390426 and 1360394249 Missing descriptors for photos 1360394249 and 1360394905 Missing descriptors for photos 1360394905 and 1360394906 Missing descriptors for photos 1360394906 and 1360399034 Missing descriptors for photos 1360399034 and 1360397303 Missing descriptors for photos 1360397303 and 1360398873 5:50:29.999076|OFF:0:00:10.000856|ON:Missing descriptors for photos 1360401908 and 1360402063 Missing descriptors for photos 1360402063 and 1360402166 Missing descriptors for photos 1360403740 and 1360403807 Missing descriptors for photos 1360403807 and 1360403830 Missing descriptors for photos 1360403830 and 1360404692 Missing descriptors for photos 1360404692 and 1360404752 Missing descriptors for photos 1360404752 and 1360405206 Missing descriptors for photos 1360405206 and 1360405538 Missing descriptors for photos 1360408267 and 1360408301 Missing descriptors for photos 1360408301 and 1360408332 Missing descriptors for photos 1360408332 and 1360408649 Missing descriptors for photos 1360410232 and 1360411148 Missing descriptors for photos 1360411148 and 1360411178 Missing descriptors for photos 1360411178 and 1360411207 Missing descriptors for photos 1360411207 and 1360411515 0:48:50.000007|OFF:0:00:11.000066|ON:0:01:18.998708|OFF:0:00:10.001198|ON:Missing descriptors for photos 1360416210 and 1360416232 Missing descriptors for photos 1360416232 and 1360416464 Missing descriptors for photos 1360416592 and 1360417231 0:06:29.999971|OFF:0:00:11.000012|ON:0:01:00.000031|OFF:0:00:30.000081|ON:0:01:30.000026|OFF:0:00:08.998669|ON:0:00:40.000060|OFF:0:00:10.001107|ON:Missing descriptors for photos 1360420958 and 1360420988 Missing descriptors for photos 1360421304 and 1360421309 Missing descriptors for photos 1360421309 and 1360421765 Missing descriptors for photos 1360421765 and 1360422162 0:07:09.998903|OFF:0:00:20.001123|ON:Missing descriptors for photos 1360423213 and 1360423395 Missing descriptors for photos 1360423395 and 1360423433 Missing descriptors for photos 1360431301 and 1360432697 Missing descriptors for photos 1360432697 and 1360433620 Missing descriptors for photos 1360433620 and 1360433622 Missing descriptors for photos 1360434492 and 1360434496 WARNING condition_same_param while we were looking loading descriptors Missing descriptors for photos 1360439586 and 1360439593 Missing descriptors for photos 1360439593 and 1360439598 Missing descriptors for photos 1360439598 and 1360439602 Missing descriptors for photos 1360439602 and 1360439606 Missing descriptors for photos 1360439606 and 1360439609 Missing descriptors for photos 1360439609 and 1360439617 Missing descriptors for photos 1360439617 and 1360439623 Missing descriptors for photos 1360439623 and 1360439629 Missing descriptors for photos 1360439629 and 1360439635 Missing descriptors for photos 1360439635 and 1360439648 Missing descriptors for photos 1360439648 and 1360439652 Missing descriptors for photos 1360439652 and 1360439656 Missing descriptors for photos 1360439656 and 1360439660 Missing descriptors for photos 1360439660 and 1360439684 Missing descriptors for photos 1360439684 and 1360439688 Missing descriptors for photos 1360439688 and 1360439689 Missing descriptors for photos 1360439689 and 1360439692 Missing descriptors for photos 1360439692 and 1360439695 Missing descriptors for photos 1360439695 and 1360439733 Missing descriptors for photos 1360439733 and 1360439738 Missing descriptors for photos 1360439738 and 1360439742 Missing descriptors for photos 1360439742 and 1360439750 Missing descriptors for photos 1360439750 and 1360439752 Missing descriptors for photos 1360439752 and 1360439762 Missing descriptors for photos 1360439762 and 1360439775 Missing descriptors for photos 1360439775 and 1360439786 Missing descriptors for photos 1360439786 and 1360439790 Missing descriptors for photos 1360439790 and 1360439795 Missing descriptors for photos 1360439795 and 1360439809 Missing descriptors for photos 1360439809 and 1360440693 Missing descriptors for photos 1360440693 and 1360441176 Missing descriptors for photos 1360441176 and 1360441254 Missing descriptors for photos 1360441254 and 1360441258 Missing descriptors for photos 1360441258 and 1360441262 Missing descriptors for photos 1360441262 and 1360441264 Missing descriptors for photos 1360441264 and 1360441269 Missing descriptors for photos 1360441269 and 1360441273 Missing descriptors for photos 1360441273 and 1360441311 Missing descriptors for photos 1360441311 and 1360441313 Missing descriptors for photos 1360441313 and 1360441315 Missing descriptors for photos 1360441315 and 1360441319 Missing descriptors for photos 1360441319 and 1360441322 Missing descriptors for photos 1360441322 and 1360441335 Missing descriptors for photos 1360441335 and 1360441384 Missing descriptors for photos 1360441384 and 1360441388 Missing descriptors for photos 1360441388 and 1360441393 Missing descriptors for photos 1360441393 and 1360441396 Missing descriptors for photos 1360441396 and 1360441399 Missing descriptors for photos 1360441399 and 1360441404 Missing descriptors for photos 1360441404 and 1360441448 Missing descriptors for photos 1360441448 and 1360441452 Missing descriptors for photos 1360441452 and 1360441457 Missing descriptors for photos 1360441457 and 1360441461 Missing descriptors for photos 1360441461 and 1360441466 Missing descriptors for photos 1360441466 and 1360441469 Missing descriptors for photos 1360441469 and 1360441658 Missing descriptors for photos 1360441658 and 1360441689 Missing descriptors for photos 1360441689 and 1360441694 Missing descriptors for photos 1360441694 and 1360441696 Missing descriptors for photos 1360441696 and 1360441699 Missing descriptors for photos 1360441699 and 1360441703 Missing descriptors for photos 1360441703 and 1360441731 Missing descriptors for photos 1360441731 and 1360441735 Missing descriptors for photos 1360441735 and 1360441740 Missing descriptors for photos 1360441740 and 1360441744 Missing descriptors for photos 1360441744 and 1360441748 Missing descriptors for photos 1360441748 and 1360441753 Missing descriptors for photos 1360441753 and 1360441771 Missing descriptors for photos 1360441771 and 1360441774 Missing descriptors for photos 1360441774 and 1360441776 Missing descriptors for photos 1360441776 and 1360441998 Missing descriptors for photos 1360441998 and 1360442062 Missing descriptors for photos 1360442062 and 1360443314 Missing descriptors for photos 1360443314 and 1360443316 Missing descriptors for photos 1360443316 and 1360443319 Missing descriptors for photos 1360443319 and 1360443323 Missing descriptors for photos 1360443323 and 1360443354 Missing descriptors for photos 1360443354 and 1360443813 Missing descriptors for photos 1360443813 and 1360443862 Missing descriptors for photos 1360443862 and 1360443893 Missing descriptors for photos 1360443893 and 1360443927 Missing descriptors for photos 1360443927 and 1360444042 Missing descriptors for photos 1360444042 and 1360444158 Missing descriptors for photos 1360444158 and 1360444398 Missing descriptors for photos 1360444398 and 1360444421 Missing descriptors for photos 1360444421 and 1360444450 Missing descriptors for photos 1360444450 and 1360444501 Missing descriptors for photos 1360444501 and 1360444524 Missing descriptors for photos 1360444524 and 1360444534 Missing descriptors for photos 1360444534 and 1360444559 Missing descriptors for photos 1360444559 and 1360444561 Missing descriptors for photos 1360444561 and 1360444565 Missing descriptors for photos 1360444565 and 1360444585 Missing descriptors for photos 1360444585 and 1360444619 Missing descriptors for photos 1360444619 and 1360444652 Missing descriptors for photos 1360444652 and 1360444782 Missing descriptors for photos 1360444782 and 1360444787 Missing descriptors for photos 1360444787 and 1360444817 Missing descriptors for photos 1360444817 and 1360444848 Missing descriptors for photos 1360444848 and 1360444880 Missing descriptors for photos 1360444880 and 1360444955 Missing descriptors for photos 1360444955 and 1360445129 Missing descriptors for photos 1360445129 and 1360445136 Missing descriptors for photos 1360445136 and 1360445168 Missing descriptors for photos 1360445168 and 1360445171 Missing descriptors for photos 1360445171 and 1360445176 Missing descriptors for photos 1360445176 and 1360445266 Missing descriptors for photos 1360445266 and 1360445274 Missing descriptors for photos 1360445274 and 1360445282 Missing descriptors for photos 1360445282 and 1360445473 Missing descriptors for photos 1360445473 and 1360445477 Missing descriptors for photos 1360445477 and 1360445815 Missing descriptors for photos 1360445815 and 1360445819 22052025 Removing 10 photos because of the 'same image' condition Total on : 25048.996782 list_time_on Total off : 111.00311200000002 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 516 time used for this insertion : 0.11372685432434082 photos_removed : len 10 elapsed_time : remove_photo_duplicate 0.2253584861755371 Creating list_photo_total XXXXXXXXXXWarning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of 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result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we 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interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average ERROR ! 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ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.15343189239501953 Total photos : 516 .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 .Change port : 0 hashtag : 2107760238 photo_id =1360399090 : flux_dev ...Change port : 3 hashtag : 538914404 photo_id =1360399264 : refus ............can't find max_score_info ..Change port : 13 hashtag : 2107760238 photo_id =1360400728 : flux_dev ........can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 8 hashtag : 2107755846 photo_id =1360402167 : pet_clair ..........................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 .Change port : 26 hashtag : 2107760239 photo_id =1360405570 : pehd_pp ...........................can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 27 hashtag : 560181804 photo_id =1360408689 : pcm ..Change port : 2 hashtag : 616987804 photo_id =1360408695 : emr .............................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 .Change port : 29 hashtag : 2107755846 photo_id =1360411237 : pet_clair ......................can't find max_score_info .Change port : 22 hashtag : 1284539308 photo_id =1360414743 : pcnc .......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 .Change port : 24 hashtag : 2107760237 photo_id =1360417285 : film_pedb .......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 .Change port : 30 hashtag : 616987804 photo_id =1360422236 : emr ...........can't find max_score_info .........can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 19 hashtag : 538914404 photo_id =1360423448 : refus ....................................can't find max_score_info .Change port : 36 hashtag : 2107760239 photo_id =1360429495 : pehd_pp ..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 .Change port : 44 hashtag : 616987804 photo_id =1360434584 : emr .................... Total photos : 516 Number of lists : 15 counter photos in port : 304 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 69 photos in 3 portfolios ! hashtag : film_pedb(2107760237) : 30 photos in 1 portfolios ! hashtag : flux_dev(2107760238) : 11 photos in 2 portfolios ! hashtag : jrm(495916461) : 0 photos in 0 portfolios ! hashtag : pcm(560181804) : 2 photos in 1 portfolios ! hashtag : pcnc(1284539308) : 24 photos in 1 portfolios ! hashtag : pehd_pp(2107760239) : 71 photos in 2 portfolios ! hashtag : pet_clair(2107755846) : 48 photos in 2 portfolios ! hashtag : refus(538914404) : 49 photos in 2 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 1 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.019208669662475586 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 5.4836273193359375e-06 today str has not a value , we define it as the date of the first image todaystr_first : 22052025 attention , prev_timestamp is 0 , we do nothing **************************** BIG TIME 210.0006239414215 (311.00213599205017, 6, 0, 0, 0, 0, 0, 0, 0.25323123, 0, 0, 0, 0, 0, 2.1140999928951265, 0.0051, 0.0008999089002609253, 1.9, 0.030999924898147582, -0.0) on 24 1360401908 2025-05-22 06:07:09.010892 id_data : 51 ******** BIG TIME 201.0012879371643 (1072.0020840168, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.52613366, 0, 0, 0, 2.241099991106987, 0.0114, 0.0008999089002609253, 1.9, 0.21999968719482424, -0.34999991695086163) on 77 1360408301 2025-05-22 06:28:19.010376 id_data : 115 ** BIG TIME 268.9986410140991 (1412.0019052028656, 6, 0, 0, 0, 0, 0, 0, 0.28248957, 0, 0, 0, 0, 0, 2.2980999943971634, 0.0149, 0.0008999089002609253, 1.9, 0.010999913930892944, -0.0) on 108 1360411148 2025-05-22 06:38:58.009084 id_data : 150 *** BIG TIME 330.0000751018524 (1662.0004711151123, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.6388889, 0, 0, 2.3559999934911726, 0.0176, 0.0008999089002609253, 1.9, 0.24899990081787113, -0.4000016649564107) on 130 1360414743 2025-05-22 06:49:39.010384 id_data : 177 ************ BIG TIME 228.99865317344666 (3127.0023670196533, 4, 0, 0, 0, 0, 0.74548334, 0, 0, 0, 0, 0, 0, 0, 2.5869998883008956, 0.0309, 0.009499757194519043, 1.9, 0.008998784065246582, -0.0) on 238 1360429495 2025-05-22 07:26:28.009164 id_data : 310 ** BIG TIME 198.9986310005188 (3376.001085996628, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.5021139, 0, 0, 0, 2.637000001502037, 0.0336, 0.009499757194519043, 1.9, 0.019000007152557376, -0.016668808460235596) on 262 1360433620 2025-05-22 07:35:28.009164 id_data : 338 * BIG TIME 180.0012710094452 (3376.001085996628, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.5021139, 0, 0, 0, 2.637000001502037, 0.0336, 0.009499757194519043, 1.9, 0.019000007152557376, -0.016668808460235596) on 262 1360433622 2025-05-22 07:38:28.010435 id_data : 339 * BIG TIME 258.9988660812378 (3596.002086162567, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.76085865, 0, 0, 0, 2.7061000151872636, 0.036, 0.009499757194519043, 1.9, 0.09100120782852172, -0.13500029802322389) on 281 1360434496 2025-05-22 07:46:48.009164 id_data : 361 Unexpected type of data : ({'photo_id': 1360438559, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/28733e492279aa10171c63e9c7e08a66.jpg', 'username': None, 'uploaded_at': 1747893323, 'text': 'image_22052025_07_50_49_10393.jpg', 'time': 1747900249.010393}, 'different') Unexpected type of data : ({'photo_id': 1360438570, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/44dcb10049cc73f38cdf036b0dc3a491.jpg', 'username': None, 'uploaded_at': 1747893323, 'text': 'image_22052025_07_54_28_10289.jpg', 'time': 1747900468.010289}, 'different') Unexpected type of data : ({'photo_id': 1360438599, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/72d23a8707db342c7943107e63d59dc0.jpg', 'username': None, 'uploaded_at': 1747893323, 'text': 'image_22052025_07_54_39_10324.jpg', 'time': 1747900479.010324}, 'different') Unexpected type of data : ({'photo_id': 1360438604, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/ecaa22fbb062f6bbbe205b86e6928e96.jpg', 'username': None, 'uploaded_at': 1747893323, 'text': 'image_22052025_07_54_49_10257.jpg', 'time': 1747900489.010257}, 'different') Unexpected type of data : ({'photo_id': 1360438623, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/11fa46a0cca00e1b30651051ebd425c8.jpg', 'username': None, 'uploaded_at': 1747893382, 'text': 'image_22052025_07_54_59_10253.jpg', 'time': 1747900499.010253}, 'different') Unexpected type of data : ({'photo_id': 1360438700, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/ad046ade44191971f93876ba90cddd53.jpg', 'username': None, 'uploaded_at': 1747893382, 'text': 'image_22052025_07_55_09_9544.jpg', 'time': 1747900509.009544}, 'different') Unexpected type of data : ({'photo_id': 1360438772, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/8555a6d06fa37ff0cf23c0df0ae519b0.jpg', 'username': None, 'uploaded_at': 1747893382, 'text': 'image_22052025_07_55_19_10246.jpg', 'time': 1747900519.010246}, 'different') Unexpected type of data : ({'photo_id': 1360438814, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/bce6b27470533b352395a0f7514b9bf4.jpg', 'username': None, 'uploaded_at': 1747893382, 'text': 'image_22052025_07_55_28_9022.jpg', 'time': 1747900528.009022}, 'different') Unexpected type of data : ({'photo_id': 1360438817, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/161d06d4aa21c8712a3a980ee1bb2850.jpg', 'username': None, 'uploaded_at': 1747893382, 'text': 'image_22052025_07_55_38_10246.jpg', 'time': 1747900538.010246}, 'different') Unexpected type of data : ({'photo_id': 1360438828, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/ac26b644835210d4543cb4486de6cbe2.jpg', 'username': None, 'uploaded_at': 1747893382, 'text': 'image_22052025_07_55_48_10248.jpg', 'time': 1747900548.010248}, 'different') Unexpected type of data : ({'photo_id': 1360438911, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/2c6552ef6ec16f00a4fec13e139fcf56.jpg', 'username': None, 'uploaded_at': 1747893463, 'text': 'image_22052025_07_55_59_10251.jpg', 'time': 1747900559.010251}, 'different') Unexpected type of data : ({'photo_id': 1360438944, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/5c75bab255ffd235a43f5c85f940771c.jpg', 'username': None, 'uploaded_at': 1747893463, 'text': 'image_22052025_07_56_09_10404.jpg', 'time': 1747900569.010404}, 'different') Unexpected type of data : ({'photo_id': 1360438977, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/9a14e901e8d127d428c01b6f28fd9602.jpg', 'username': None, 'uploaded_at': 1747893463, 'text': 'image_22052025_07_56_18_9144.jpg', 'time': 1747900578.009144}, 'different') Unexpected type of data : ({'photo_id': 1360438998, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/e2077eb82270c63c1fd84fa623b02b31.jpg', 'username': None, 'uploaded_at': 1747893463, 'text': 'image_22052025_07_56_29_10380.jpg', 'time': 1747900589.01038}, 'different') Unexpected type of data : ({'photo_id': 1360439010, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/c138409f901dd3c720751a003ae15b28.jpg', 'username': None, 'uploaded_at': 1747893463, 'text': 'image_22052025_07_56_39_10290.jpg', 'time': 1747900599.01029}, 'different') Unexpected type of data : ({'photo_id': 1360439166, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/efd38e968d4f91172a597560649a2093.jpg', 'username': None, 'uploaded_at': 1747893503, 'text': 'image_22052025_07_56_48_9037.jpg', 'time': 1747900608.009037}, 'different') Unexpected type of data : ({'photo_id': 1360439231, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/4cf59fb5634fd77f7efb41aa5d338fe2.jpg', 'username': None, 'uploaded_at': 1747893503, 'text': 'image_22052025_07_57_29_10308.jpg', 'time': 1747900649.010308}, 'different') Unexpected type of data : ({'photo_id': 1360439294, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/46d59265957f5279c343e6abedb76348.jpg', 'username': None, 'uploaded_at': 1747893503, 'text': 'image_22052025_07_57_39_10249.jpg', 'time': 1747900659.010249}, 'different') Unexpected type of data : ({'photo_id': 1360439353, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/7e0f2e6b214ed42ec9efd9e4409900a2.jpg', 'username': None, 'uploaded_at': 1747893503, 'text': 'image_22052025_07_57_48_9136.jpg', 'time': 1747900668.009136}, 'different') Unexpected type of data : ({'photo_id': 1360439586, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/c13f8d1788cb79932e9d1c44adc20c7b.jpg', 'username': None, 'uploaded_at': 1747893622, 'text': 'image_22052025_07_57_58_10251.jpg', 'time': 1747900678.010251}, 'different') Unexpected type of data : ({'photo_id': 1360439593, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/5f649f5df8d5fcdb0a6903a12f4156a9.jpg', 'username': None, 'uploaded_at': 1747893622, 'text': 'image_22052025_07_58_09_10233.jpg', 'time': 1747900689.010233}, 'different') Unexpected type of data : ({'photo_id': 1360439598, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/923e39a1b6260e0a95fa58723c3d8dd8.jpg', 'username': None, 'uploaded_at': 1747893622, 'text': 'image_22052025_07_58_19_10291.jpg', 'time': 1747900699.010291}, 'different') Unexpected type of data : ({'photo_id': 1360439602, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/10bbc7c49f0aacdd0c99b6954be9953d.jpg', 'username': None, 'uploaded_at': 1747893622, 'text': 'image_22052025_07_58_28_9104.jpg', 'time': 1747900708.009104}, 'different') Unexpected type of data : ({'photo_id': 1360439606, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/638ffc3ea4b5f77f61b52597752befc6.jpg', 'username': None, 'uploaded_at': 1747893622, 'text': 'image_22052025_07_58_39_10520.jpg', 'time': 1747900719.01052}, 'different') Unexpected type of data : ({'photo_id': 1360439609, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/7d0f3c61a6a73982161ea9be4e4c61b9.jpg', 'username': None, 'uploaded_at': 1747893622, 'text': 'image_22052025_07_58_49_10293.jpg', 'time': 1747900729.010293}, 'different') Unexpected type of data : ({'photo_id': 1360439617, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/9855a6eab55d64d98b166437d3aa8d2a.jpg', 'username': None, 'uploaded_at': 1747893663, 'text': 'image_22052025_07_59_19_10335.jpg', 'time': 1747900759.010335}, 'different') Unexpected type of data : ({'photo_id': 1360439623, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/985ab4a43490e3afe50c6380724c062b.jpg', 'username': None, 'uploaded_at': 1747893663, 'text': 'image_22052025_07_59_29_10327.jpg', 'time': 1747900769.010327}, 'different') Unexpected type of data : ({'photo_id': 1360439629, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/a07f330e7f8278325e2054e2a82c0018.jpg', 'username': None, 'uploaded_at': 1747893663, 'text': 'image_22052025_07_59_38_9098.jpg', 'time': 1747900778.009098}, 'different') Unexpected type of data : ({'photo_id': 1360439635, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/2cfaf91a8cd6c9aabd36f7694bf6df7c.jpg', 'username': None, 'uploaded_at': 1747893663, 'text': 'image_22052025_07_59_49_10362.jpg', 'time': 1747900789.010362}, 'different') Unexpected type of data : ({'photo_id': 1360439648, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/4daf371fe40789de4f72eb9f9243a7f0.jpg', 'username': None, 'uploaded_at': 1747893702, 'text': 'image_22052025_07_59_59_10246.jpg', 'time': 1747900799.010246}, 'different') Unexpected type of data : ({'photo_id': 1360439652, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/6ff89b6a0a71376e8e5f77366162eb10.jpg', 'username': None, 'uploaded_at': 1747893702, 'text': 'image_22052025_08_00_08_9237.jpg', 'time': 1747900808.009237}, 'different') Unexpected type of data : ({'photo_id': 1360439656, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/78dba9bd50e7c8c2098b099cfccf83ce.jpg', 'username': None, 'uploaded_at': 1747893702, 'text': 'image_22052025_08_00_18_10365.jpg', 'time': 1747900818.010365}, 'different') Unexpected type of data : ({'photo_id': 1360439660, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/87246e89a67613be20f123abe1e27162.jpg', 'username': None, 'uploaded_at': 1747893702, 'text': 'image_22052025_08_00_29_10341.jpg', 'time': 1747900829.010341}, 'different') Unexpected type of data : ({'photo_id': 1360439684, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/7a39d914a98e0db3a4f8adae8c4630da.jpg', 'username': None, 'uploaded_at': 1747893742, 'text': 'image_22052025_08_00_39_10266.jpg', 'time': 1747900839.010266}, 'different') Unexpected type of data : ({'photo_id': 1360439688, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/68074969ca0f116727322a66b5c7ea5a.jpg', 'username': None, 'uploaded_at': 1747893742, 'text': 'image_22052025_08_01_19_10259.jpg', 'time': 1747900879.010259}, 'different') Unexpected type of data : ({'photo_id': 1360439689, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/d9a1d4487353a79f18d36b974a5ccbfb.jpg', 'username': None, 'uploaded_at': 1747893742, 'text': 'image_22052025_08_01_28_9338.jpg', 'time': 1747900888.009338}, 'different') Unexpected type of data : ({'photo_id': 1360439692, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/76e67f8b494cb91cc8a05180dedf5f91.jpg', 'username': None, 'uploaded_at': 1747893742, 'text': 'image_22052025_08_01_39_10244.jpg', 'time': 1747900899.010244}, 'different') Unexpected type of data : ({'photo_id': 1360439695, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/1c5122915001901f73cdc9df7a518472.jpg', 'username': None, 'uploaded_at': 1747893742, 'text': 'image_22052025_08_01_49_10325.jpg', 'time': 1747900909.010325}, 'different') Unexpected type of data : ({'photo_id': 1360439733, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/2cd240775923caec6d8c295fd1e540db.jpg', 'username': None, 'uploaded_at': 1747893803, 'text': 'image_22052025_08_01_58_9095.jpg', 'time': 1747900918.009095}, 'different') Unexpected type of data : ({'photo_id': 1360439738, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/6834e6ae3157964af2807a33821e66ba.jpg', 'username': None, 'uploaded_at': 1747893803, 'text': 'image_22052025_08_02_08_10396.jpg', 'time': 1747900928.010396}, 'different') Unexpected type of data : ({'photo_id': 1360439742, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/b8be82b04a550f6047c6134bb81282e4.jpg', 'username': None, 'uploaded_at': 1747893803, 'text': 'image_22052025_08_02_19_10267.jpg', 'time': 1747900939.010267}, 'different') Unexpected type of data : ({'photo_id': 1360439750, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/8b14825e8ae19815b7cdbd03462bb221.jpg', 'username': None, 'uploaded_at': 1747893803, 'text': 'image_22052025_08_02_29_10261.jpg', 'time': 1747900949.010261}, 'different') Unexpected type of data : ({'photo_id': 1360439752, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/90f65ae9a720bd878f036562862f534b.jpg', 'username': None, 'uploaded_at': 1747893803, 'text': 'image_22052025_08_02_38_9083.jpg', 'time': 1747900958.009083}, 'different') Unexpected type of data : ({'photo_id': 1360439762, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/2b63a6ca646f5dad5d564ecfa9e59d5b.jpg', 'username': None, 'uploaded_at': 1747893803, 'text': 'image_22052025_08_02_48_10345.jpg', 'time': 1747900968.010345}, 'different') Unexpected type of data : ({'photo_id': 1360439775, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/fa797451ff7622cf60cfaf4510fc5a37.jpg', 'username': None, 'uploaded_at': 1747893863, 'text': 'image_22052025_08_02_59_10305.jpg', 'time': 1747900979.010305}, 'different') Unexpected type of data : ({'photo_id': 1360439786, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/6b8586b42d38b5b294e242d9a2d6b51c.jpg', 'username': None, 'uploaded_at': 1747893863, 'text': 'image_22052025_08_03_18_9036.jpg', 'time': 1747900998.009036}, 'different') Unexpected type of data : ({'photo_id': 1360439790, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/6aedd6acfa0f5aacc3d510934b56cbd9.jpg', 'username': None, 'uploaded_at': 1747893863, 'text': 'image_22052025_08_03_29_10587.jpg', 'time': 1747901009.010587}, 'different') Unexpected type of data : ({'photo_id': 1360439795, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/082eb96b7bb4b4aca58db6d0bac878e3.jpg', 'username': None, 'uploaded_at': 1747893863, 'text': 'image_22052025_08_03_39_10348.jpg', 'time': 1747901019.010348}, 'different') Unexpected type of data : ({'photo_id': 1360439809, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/16e38619948965f02e28c0323eaa3e27.jpg', 'username': None, 'uploaded_at': 1747893922, 'text': 'image_22052025_08_03_59_10427.jpg', 'time': 1747901039.010427}, 'different') Unexpected type of data : ({'photo_id': 1360440693, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/0f9cce8f141d46972513e9eaa2c94110.jpg', 'username': None, 'uploaded_at': 1747894043, 'text': 'image_22052025_08_04_09_10547.jpg', 'time': 1747901049.010547}, 'different') Unexpected type of data : ({'photo_id': 1360441176, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/e3ecd23e4809abc0283865cef59fb41d.jpg', 'username': None, 'uploaded_at': 1747894162, 'text': 'image_22052025_08_06_48_9178.jpg', 'time': 1747901208.009178}, 'different') Unexpected type of data : ({'photo_id': 1360441254, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/7a5917cf5b2b7138ec390a956d06362c.jpg', 'username': None, 'uploaded_at': 1747894223, 'text': 'image_22052025_08_08_39_10412.jpg', 'time': 1747901319.010412}, 'different') Unexpected type of data : ({'photo_id': 1360441258, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/f07d8987c4c707de65cec7549451c3fa.jpg', 'username': None, 'uploaded_at': 1747894223, 'text': 'image_22052025_08_09_09_10563.jpg', 'time': 1747901349.010563}, 'different') Unexpected type of data : ({'photo_id': 1360441262, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/cbeb23fdab4b0deaa3210eb6e38510f0.jpg', 'username': None, 'uploaded_at': 1747894223, 'text': 'image_22052025_08_09_18_9126.jpg', 'time': 1747901358.009126}, 'different') Unexpected type of data : ({'photo_id': 1360441264, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/c2af9b908830439b469882f7fa8cf7a1.jpg', 'username': None, 'uploaded_at': 1747894223, 'text': 'image_22052025_08_09_29_10329.jpg', 'time': 1747901369.010329}, 'different') Unexpected type of data : ({'photo_id': 1360441269, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/d07f40fdc0fb928aae096701c6123bb6.jpg', 'username': None, 'uploaded_at': 1747894223, 'text': 'image_22052025_08_09_39_10416.jpg', 'time': 1747901379.010416}, 'different') Unexpected type of data : ({'photo_id': 1360441273, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/6962f6b3a22992509816b878005bc21e.jpg', 'username': None, 'uploaded_at': 1747894223, 'text': 'image_22052025_08_09_48_9051.jpg', 'time': 1747901388.009051}, 'different') Unexpected type of data : ({'photo_id': 1360441311, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/1041ce8b02e798590ad4ce239dbcebaa.jpg', 'username': None, 'uploaded_at': 1747894283, 'text': 'image_22052025_08_09_58_10270.jpg', 'time': 1747901398.01027}, 'different') Unexpected type of data : ({'photo_id': 1360441313, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/c2621d7bd99abdd0902631861292c711.jpg', 'username': None, 'uploaded_at': 1747894283, 'text': 'image_22052025_08_10_09_10479.jpg', 'time': 1747901409.010479}, 'different') Unexpected type of data : ({'photo_id': 1360441315, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/01525c23eb301434d285744897f4bb89.jpg', 'username': None, 'uploaded_at': 1747894283, 'text': 'image_22052025_08_10_19_10351.jpg', 'time': 1747901419.010351}, 'different') Unexpected type of data : ({'photo_id': 1360441319, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/083f510a0f9739f54e1dbb9959b1baaa.jpg', 'username': None, 'uploaded_at': 1747894283, 'text': 'image_22052025_08_10_28_9126.jpg', 'time': 1747901428.009126}, 'different') Unexpected type of data : ({'photo_id': 1360441322, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/5d87f30be5c23ea6b0fba47a26d70a7d.jpg', 'username': None, 'uploaded_at': 1747894283, 'text': 'image_22052025_08_10_38_10262.jpg', 'time': 1747901438.010262}, 'different') Unexpected type of data : ({'photo_id': 1360441335, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/c38ea59ec989fecacd1c6db0b45c1fa1.jpg', 'username': None, 'uploaded_at': 1747894283, 'text': 'image_22052025_08_10_49_10255.jpg', 'time': 1747901449.010255}, 'different') Unexpected type of data : ({'photo_id': 1360441384, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/9b745a828194a7ebfa2c379dfdc21114.jpg', 'username': None, 'uploaded_at': 1747894343, 'text': 'image_22052025_08_10_58_9235.jpg', 'time': 1747901458.009235}, 'different') Unexpected type of data : ({'photo_id': 1360441388, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/c892db16a0e38017c696d54f5a3331f4.jpg', 'username': None, 'uploaded_at': 1747894343, 'text': 'image_22052025_08_11_08_10435.jpg', 'time': 1747901468.010435}, 'different') Unexpected type of data : ({'photo_id': 1360441393, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/7c964b3529bf3f5d12ac3d1d95202ce5.jpg', 'username': None, 'uploaded_at': 1747894343, 'text': 'image_22052025_08_11_19_10356.jpg', 'time': 1747901479.010356}, 'different') Unexpected type of data : ({'photo_id': 1360441396, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/76939d664e629198c286f4229f14b03a.jpg', 'username': None, 'uploaded_at': 1747894343, 'text': 'image_22052025_08_11_28_9308.jpg', 'time': 1747901488.009308}, 'different') Unexpected type of data : ({'photo_id': 1360441399, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/bd32cc07bec7ee32a4196eb0267627c4.jpg', 'username': None, 'uploaded_at': 1747894343, 'text': 'image_22052025_08_11_38_10269.jpg', 'time': 1747901498.010269}, 'different') Unexpected type of data : ({'photo_id': 1360441404, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/e8b3e33302b062af41ebcdb2fc6112c2.jpg', 'username': None, 'uploaded_at': 1747894343, 'text': 'image_22052025_08_11_49_10271.jpg', 'time': 1747901509.010271}, 'different') Unexpected type of data : ({'photo_id': 1360441448, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/4a7ef6197d3c2a15e3e78dbb77c43e75.jpg', 'username': None, 'uploaded_at': 1747894403, 'text': 'image_22052025_08_11_59_10365.jpg', 'time': 1747901519.010365}, 'different') Unexpected type of data : ({'photo_id': 1360441452, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/5dca7bca75855d27b56694d992c9a1df.jpg', 'username': None, 'uploaded_at': 1747894403, 'text': 'image_22052025_08_12_08_9329.jpg', 'time': 1747901528.009329}, 'different') Unexpected type of data : ({'photo_id': 1360441457, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/bf378d8d2692c30f11db3d4f007b6188.jpg', 'username': None, 'uploaded_at': 1747894403, 'text': 'image_22052025_08_12_19_10384.jpg', 'time': 1747901539.010384}, 'different') Unexpected type of data : ({'photo_id': 1360441461, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/c93b4717ad649d981cb89a4265545001.jpg', 'username': None, 'uploaded_at': 1747894403, 'text': 'image_22052025_08_12_29_10357.jpg', 'time': 1747901549.010357}, 'different') Unexpected type of data : ({'photo_id': 1360441466, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/3798f552b1d267760571203eaccf2e09.jpg', 'username': None, 'uploaded_at': 1747894403, 'text': 'image_22052025_08_12_38_9129.jpg', 'time': 1747901558.009129}, 'different') Unexpected type of data : ({'photo_id': 1360441469, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/35432bc00cbf3a3a8d73d6ff9d6b8134.jpg', 'username': None, 'uploaded_at': 1747894403, 'text': 'image_22052025_08_12_48_10284.jpg', 'time': 1747901568.010284}, 'different') Unexpected type of data : ({'photo_id': 1360441658, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/9569630fd7cf438ff5eff14bb4f7ec58.jpg', 'username': None, 'uploaded_at': 1747894464, 'text': 'image_22052025_08_12_59_10434.jpg', 'time': 1747901579.010434}, 'different') Unexpected type of data : ({'photo_id': 1360441689, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/e08cfc04c89690a5b67175ff27e7ede5.jpg', 'username': None, 'uploaded_at': 1747894464, 'text': 'image_22052025_08_13_08_9217.jpg', 'time': 1747901588.009217}, 'different') Unexpected type of data : ({'photo_id': 1360441694, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/71971e63fbd9608418f2e8154f094ae9.jpg', 'username': None, 'uploaded_at': 1747894464, 'text': 'image_22052025_08_13_18_10320.jpg', 'time': 1747901598.01032}, 'different') Unexpected type of data : ({'photo_id': 1360441696, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/1e260fe95938ae57f4bef33c9d45a47c.jpg', 'username': None, 'uploaded_at': 1747894464, 'text': 'image_22052025_08_13_29_10266.jpg', 'time': 1747901609.010266}, 'different') Unexpected type of data : ({'photo_id': 1360441699, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/33b03e40299b8dacc1ad1f5330549d3e.jpg', 'username': None, 'uploaded_at': 1747894464, 'text': 'image_22052025_08_13_39_10306.jpg', 'time': 1747901619.010306}, 'different') Unexpected type of data : ({'photo_id': 1360441703, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/23cc1842990ccaa4a9d6fe3414469a68.jpg', 'username': None, 'uploaded_at': 1747894464, 'text': 'image_22052025_08_13_48_9067.jpg', 'time': 1747901628.009067}, 'different') Unexpected type of data : ({'photo_id': 1360441731, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/8c9411ccfabc11d497aeeccb3f563dbf.jpg', 'username': None, 'uploaded_at': 1747894523, 'text': 'image_22052025_08_13_58_10356.jpg', 'time': 1747901638.010356}, 'different') Unexpected type of data : ({'photo_id': 1360441735, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/bcc1194809fbe614fc601d84017fbedc.jpg', 'username': None, 'uploaded_at': 1747894523, 'text': 'image_22052025_08_14_09_10357.jpg', 'time': 1747901649.010357}, 'different') Unexpected type of data : ({'photo_id': 1360441740, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/353c6dddec176463aa89f5225c841e59.jpg', 'username': None, 'uploaded_at': 1747894523, 'text': 'image_22052025_08_14_19_10282.jpg', 'time': 1747901659.010282}, 'different') Unexpected type of data : ({'photo_id': 1360441744, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/31bbbe51dc10159f6b1ace748957c474.jpg', 'username': None, 'uploaded_at': 1747894523, 'text': 'image_22052025_08_14_28_9041.jpg', 'time': 1747901668.009041}, 'different') Unexpected type of data : ({'photo_id': 1360441748, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/4a2219c81e08c4b7b1e97507994a0a38.jpg', 'username': None, 'uploaded_at': 1747894523, 'text': 'image_22052025_08_14_39_10420.jpg', 'time': 1747901679.01042}, 'different') Unexpected type of data : ({'photo_id': 1360441753, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/8e030cf8b32ab1b79a8634b82c46f83e.jpg', 'username': None, 'uploaded_at': 1747894523, 'text': 'image_22052025_08_14_49_10317.jpg', 'time': 1747901689.010317}, 'different') Unexpected type of data : ({'photo_id': 1360441771, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/5cc7f3fc8de7af0a8d89747b07f67d72.jpg', 'username': None, 'uploaded_at': 1747894583, 'text': 'image_22052025_08_14_58_9084.jpg', 'time': 1747901698.009084}, 'different') Unexpected type of data : ({'photo_id': 1360441774, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/df0d6c7821c1e68a9fc34a923d2bfdfc.jpg', 'username': None, 'uploaded_at': 1747894583, 'text': 'image_22052025_08_15_09_10583.jpg', 'time': 1747901709.010583}, 'different') Unexpected type of data : ({'photo_id': 1360441776, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/ecf8dffb60a48610b130eccc5295b9f4.jpg', 'username': None, 'uploaded_at': 1747894583, 'text': 'image_22052025_08_15_19_10465.jpg', 'time': 1747901719.010465}, 'different') Unexpected type of data : ({'photo_id': 1360441998, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/cb039ed664067f13836d380de67e8231.jpg', 'username': None, 'uploaded_at': 1747894642, 'text': 'image_22052025_08_15_28_9065.jpg', 'time': 1747901728.009065}, 'different') Unexpected type of data : ({'photo_id': 1360442062, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/a3886d0c2b0a5a8c0cacac8354596462.jpg', 'username': None, 'uploaded_at': 1747894642, 'text': 'image_22052025_08_16_09_9616.jpg', 'time': 1747901769.009616}, 'different') Unexpected type of data : ({'photo_id': 1360443314, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/1345d867dfe9585f41a45a4adb03cac3.jpg', 'username': None, 'uploaded_at': 1747894883, 'text': 'image_22052025_08_16_28_9127.jpg', 'time': 1747901788.009127}, 'different') Unexpected type of data : ({'photo_id': 1360443316, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/67dbff66fe3cfda2d7e58c82e2ed4817.jpg', 'username': None, 'uploaded_at': 1747894883, 'text': 'image_22052025_08_20_19_10406.jpg', 'time': 1747902019.010406}, 'different') Unexpected type of data : ({'photo_id': 1360443319, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/abeb0aeb66670d31c391e8ae98d24060.jpg', 'username': None, 'uploaded_at': 1747894883, 'text': 'image_22052025_08_20_28_9105.jpg', 'time': 1747902028.009105}, 'different') Unexpected type of data : ({'photo_id': 1360443323, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/b97c0510d6ff247e2a27898d3b79f51f.jpg', 'username': None, 'uploaded_at': 1747894883, 'text': 'image_22052025_08_20_38_10321.jpg', 'time': 1747902038.010321}, 'different') Unexpected type of data : ({'photo_id': 1360443354, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/ac9f518eb5e7148f22798a665fc765e1.jpg', 'username': None, 'uploaded_at': 1747894883, 'text': 'image_22052025_08_20_49_10450.jpg', 'time': 1747902049.01045}, 'different') Unexpected type of data : ({'photo_id': 1360443813, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/e97178b97ecda0081fd4f1018a47907d.jpg', 'username': None, 'uploaded_at': 1747894943, 'text': 'image_22052025_08_20_59_10279.jpg', 'time': 1747902059.010279}, 'different') Unexpected type of data : ({'photo_id': 1360443862, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/1271415e463cf6764ed75a7eb785867d.jpg', 'username': None, 'uploaded_at': 1747894943, 'text': 'image_22052025_08_21_08_9370.jpg', 'time': 1747902068.00937}, 'different') Unexpected type of data : ({'photo_id': 1360443893, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/2261c65cba5be6ccc4eb49840aac3e79.jpg', 'username': None, 'uploaded_at': 1747894943, 'text': 'image_22052025_08_21_19_10274.jpg', 'time': 1747902079.010274}, 'different') Unexpected type of data : ({'photo_id': 1360443927, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/7b34a9e0c6cabc4144cd3cc1ca168d42.jpg', 'username': None, 'uploaded_at': 1747894943, 'text': 'image_22052025_08_21_28_9201.jpg', 'time': 1747902088.009201}, 'different') Unexpected type of data : ({'photo_id': 1360444042, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/9a52084991e237ddbdf8189240aab4d6.jpg', 'username': None, 'uploaded_at': 1747894943, 'text': 'image_22052025_08_21_38_10273.jpg', 'time': 1747902098.010273}, 'different') Unexpected type of data : ({'photo_id': 1360444158, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/b91b183617bc03cff0685f577472e069.jpg', 'username': None, 'uploaded_at': 1747894943, 'text': 'image_22052025_08_21_49_10350.jpg', 'time': 1747902109.01035}, 'different') Unexpected type of data : ({'photo_id': 1360444398, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/3b0203ed7738ed202650a60e53f288a3.jpg', 'username': None, 'uploaded_at': 1747895003, 'text': 'image_22052025_08_21_59_10362.jpg', 'time': 1747902119.010362}, 'different') Unexpected type of data : ({'photo_id': 1360444421, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/adae4d8c39d271469a9739970686a64b.jpg', 'username': None, 'uploaded_at': 1747895003, 'text': 'image_22052025_08_22_08_9493.jpg', 'time': 1747902128.009493}, 'different') Unexpected type of data : ({'photo_id': 1360444450, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/2667c371fdd60cc6d16677d9c5af62ad.jpg', 'username': None, 'uploaded_at': 1747895003, 'text': 'image_22052025_08_22_19_10313.jpg', 'time': 1747902139.010313}, 'different') Unexpected type of data : ({'photo_id': 1360444501, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/411e3964020f6369e8788a2364861f3c.jpg', 'username': None, 'uploaded_at': 1747895003, 'text': 'image_22052025_08_22_29_10318.jpg', 'time': 1747902149.010318}, 'different') Unexpected type of data : ({'photo_id': 1360444524, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/546c4594ef53edbc27dffcb1c6ee2071.jpg', 'username': None, 'uploaded_at': 1747895003, 'text': 'image_22052025_08_22_38_9140.jpg', 'time': 1747902158.00914}, 'different') Unexpected type of data : ({'photo_id': 1360444534, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/f26ef5553525a28edbf41cf2d20fb71a.jpg', 'username': None, 'uploaded_at': 1747895003, 'text': 'image_22052025_08_22_48_10273.jpg', 'time': 1747902168.010273}, 'different') Unexpected type of data : ({'photo_id': 1360444559, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/faff5fd95ac78d78b26a985319e7c8da.jpg', 'username': None, 'uploaded_at': 1747895063, 'text': 'image_22052025_08_22_59_10278.jpg', 'time': 1747902179.010278}, 'different') Unexpected type of data : ({'photo_id': 1360444561, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/783ce11513fdf34d0bf185cbc9164b54.jpg', 'username': None, 'uploaded_at': 1747895063, 'text': 'image_22052025_08_23_09_10223.jpg', 'time': 1747902189.010223}, 'different') Unexpected type of data : ({'photo_id': 1360444565, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/099608d300a3e5dcbcfa91b60a8fd0c1.jpg', 'username': None, 'uploaded_at': 1747895063, 'text': 'image_22052025_08_23_18_9095.jpg', 'time': 1747902198.009095}, 'different') Unexpected type of data : ({'photo_id': 1360444585, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/ef972872508bbaab8881646b603c8043.jpg', 'username': None, 'uploaded_at': 1747895063, 'text': 'image_22052025_08_23_29_10425.jpg', 'time': 1747902209.010425}, 'different') Unexpected type of data : ({'photo_id': 1360444619, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/70ac79f627644a43ea8a18dcad24d62c.jpg', 'username': None, 'uploaded_at': 1747895063, 'text': 'image_22052025_08_23_39_10366.jpg', 'time': 1747902219.010366}, 'different') Unexpected type of data : ({'photo_id': 1360444652, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/5c5a4b62e63bef0e0d9c04c5cc771d17.jpg', 'username': None, 'uploaded_at': 1747895063, 'text': 'image_22052025_08_23_48_9055.jpg', 'time': 1747902228.009055}, 'different') Unexpected type of data : ({'photo_id': 1360444782, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/4ca9652d04f78f085bfe4cc4615721ca.jpg', 'username': None, 'uploaded_at': 1747895122, 'text': 'image_22052025_08_23_58_10256.jpg', 'time': 1747902238.010256}, 'different') Unexpected type of data : ({'photo_id': 1360444787, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/4617f3f700894fa0ff8f72c44f780975.jpg', 'username': None, 'uploaded_at': 1747895122, 'text': 'image_22052025_08_24_09_10440.jpg', 'time': 1747902249.01044}, 'different') Unexpected type of data : ({'photo_id': 1360444817, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/79c213f176d6091d72c912244b02dcf7.jpg', 'username': None, 'uploaded_at': 1747895122, 'text': 'image_22052025_08_24_19_10289.jpg', 'time': 1747902259.010289}, 'different') Unexpected type of data : ({'photo_id': 1360444848, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/48fdecbd10a1fe1bc213222d28a1379b.jpg', 'username': None, 'uploaded_at': 1747895122, 'text': 'image_22052025_08_24_28_9507.jpg', 'time': 1747902268.009507}, 'different') Unexpected type of data : ({'photo_id': 1360444880, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/ab25bc1a1f66a8428e6144d844b81eb8.jpg', 'username': None, 'uploaded_at': 1747895122, 'text': 'image_22052025_08_24_39_10354.jpg', 'time': 1747902279.010354}, 'different') Unexpected type of data : ({'photo_id': 1360444955, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/d8cdf60280272ecf85b02780de624e7d.jpg', 'username': None, 'uploaded_at': 1747895122, 'text': 'image_22052025_08_24_49_10274.jpg', 'time': 1747902289.010274}, 'different') Unexpected type of data : ({'photo_id': 1360445129, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/19a15af2340022acbe74dd0ca4ed0138.jpg', 'username': None, 'uploaded_at': 1747895182, 'text': 'image_22052025_08_24_58_9132.jpg', 'time': 1747902298.009132}, 'different') Unexpected type of data : ({'photo_id': 1360445136, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/a91fe6ab8dd7dd8849684ba0d8b70142.jpg', 'username': None, 'uploaded_at': 1747895182, 'text': 'image_22052025_08_25_09_10460.jpg', 'time': 1747902309.01046}, 'different') Unexpected type of data : ({'photo_id': 1360445168, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/f6f01443eebab78950ba2d661ce8998c.jpg', 'username': None, 'uploaded_at': 1747895182, 'text': 'image_22052025_08_25_28_9159.jpg', 'time': 1747902328.009159}, 'different') Unexpected type of data : ({'photo_id': 1360445171, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/82d6e531f0a9a08c002aeebbb35d60ff.jpg', 'username': None, 'uploaded_at': 1747895182, 'text': 'image_22052025_08_25_38_10283.jpg', 'time': 1747902338.010283}, 'different') Unexpected type of data : ({'photo_id': 1360445176, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/f0d1371a035e71af178bfe07ea847f07.jpg', 'username': None, 'uploaded_at': 1747895182, 'text': 'image_22052025_08_25_49_10289.jpg', 'time': 1747902349.010289}, 'different') Unexpected type of data : ({'photo_id': 1360445266, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/9330db5d779daa1df5aeb5506603ee5f.jpg', 'username': None, 'uploaded_at': 1747895242, 'text': 'image_22052025_08_25_59_10276.jpg', 'time': 1747902359.010276}, 'different') Unexpected type of data : ({'photo_id': 1360445274, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/35982d242db553c997886065c8e9ca53.jpg', 'username': None, 'uploaded_at': 1747895242, 'text': 'image_22052025_08_26_08_9287.jpg', 'time': 1747902368.009287}, 'different') Unexpected type of data : ({'photo_id': 1360445282, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/39f977bc5bb301ff24b1f25971f81679.jpg', 'username': None, 'uploaded_at': 1747895242, 'text': 'image_22052025_08_26_19_10525.jpg', 'time': 1747902379.010525}, 'different') Unexpected type of data : ({'photo_id': 1360445473, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/abd7d5c2da01d2c58ad763ed300581bc.jpg', 'username': None, 'uploaded_at': 1747895302, 'text': 'image_22052025_08_26_49_10302.jpg', 'time': 1747902409.010302}, 'different') Unexpected type of data : ({'photo_id': 1360445477, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/6c3e8a475292e0e392cfb29ca7c73265.jpg', 'username': None, 'uploaded_at': 1747895302, 'text': 'image_22052025_08_27_29_10426.jpg', 'time': 1747902449.010426}, 'different') Unexpected type of data : ({'photo_id': 1360445815, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/4680fb11dc1d7e8f26aaa09bb59e13b4.jpg', 'username': None, 'uploaded_at': 1747895362, 'text': 'image_22052025_08_27_59_10402.jpg', 'time': 1747902479.010402}, 'different') Unexpected type of data : ({'photo_id': 1360445819, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/22/b84ad0492fa2c186d4affc4271d0e450.jpg', 'username': None, 'uploaded_at': 1747895362, 'text': 'image_22052025_08_28_08_9355.jpg', 'time': 1747902488.009355}, 'different') Count Time bigger than 30s : 57 #Number Photos for regression : {'22052025': {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: 632.0035800933838, 2107751016: 51.000200033187866, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 0, 2107751015: 283.0019690990448, 2107751016: 29.001013040542603, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 0, 2107751015: 207.99528431892395, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 0, 2107751015: 10.00122594833374, 2107751016: 0, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 0, 2107751015: 200.99729681015015, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 242.00040817260742, 2107751016: 88.99873971939087, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 0, 2107751015: 672.0041861534119, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 648.9987065792084, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 771.0006098747253, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 992.0023019313812, 2107751016: 0, 2107751017: 0}}} 22052025|aluminium, 05102018_papier_non_papier_dense:0 22052025|aluminium, 05102018_papier_non_papier_peu_dense:0 22052025|aluminium, 05102018_papier_non_papier_presque_vide:0 22052025|aluminium, 05102018_papier_non_papier_tres_dense:0 22052025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 22052025|ela, 05102018_papier_non_papier_dense:0 22052025|ela, 05102018_papier_non_papier_peu_dense:0 22052025|ela, 05102018_papier_non_papier_presque_vide:0 22052025|ela, 05102018_papier_non_papier_tres_dense:0 22052025|ela, 05102018_papier_non_papier_tres_peu_dense:0 22052025|emr, 05102018_papier_non_papier_dense:0 22052025|emr, 05102018_papier_non_papier_peu_dense:0 22052025|emr, 05102018_papier_non_papier_presque_vide:632.0035800933838 22052025|emr, 05102018_papier_non_papier_tres_dense:51.000200033187866 22052025|emr, 05102018_papier_non_papier_tres_peu_dense:0 22052025|film_pedb, 05102018_papier_non_papier_dense:0 22052025|film_pedb, 05102018_papier_non_papier_peu_dense:0 22052025|film_pedb, 05102018_papier_non_papier_presque_vide:283.0019690990448 22052025|film_pedb, 05102018_papier_non_papier_tres_dense:29.001013040542603 22052025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 22052025|flux_dev, 05102018_papier_non_papier_dense:0 22052025|flux_dev, 05102018_papier_non_papier_peu_dense:0 22052025|flux_dev, 05102018_papier_non_papier_presque_vide:207.99528431892395 22052025|flux_dev, 05102018_papier_non_papier_tres_dense:0 22052025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 22052025|jrm, 05102018_papier_non_papier_dense:0 22052025|jrm, 05102018_papier_non_papier_peu_dense:0 22052025|jrm, 05102018_papier_non_papier_presque_vide:10.00122594833374 22052025|jrm, 05102018_papier_non_papier_tres_dense:0 22052025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 22052025|pcm, 05102018_papier_non_papier_dense:0 22052025|pcm, 05102018_papier_non_papier_peu_dense:0 22052025|pcm, 05102018_papier_non_papier_presque_vide:200.99729681015015 22052025|pcm, 05102018_papier_non_papier_tres_dense:0 22052025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 22052025|pcnc, 05102018_papier_non_papier_dense:0 22052025|pcnc, 05102018_papier_non_papier_peu_dense:0 22052025|pcnc, 05102018_papier_non_papier_presque_vide:242.00040817260742 22052025|pcnc, 05102018_papier_non_papier_tres_dense:88.99873971939087 22052025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 22052025|pehd_pp, 05102018_papier_non_papier_dense:0 22052025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 22052025|pehd_pp, 05102018_papier_non_papier_presque_vide:672.0041861534119 22052025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 22052025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 22052025|pet_clair, 05102018_papier_non_papier_dense:0 22052025|pet_clair, 05102018_papier_non_papier_peu_dense:0 22052025|pet_clair, 05102018_papier_non_papier_presque_vide:648.9987065792084 22052025|pet_clair, 05102018_papier_non_papier_tres_dense:0 22052025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 22052025|refus, 05102018_papier_non_papier_dense:0 22052025|refus, 05102018_papier_non_papier_peu_dense:0 22052025|refus, 05102018_papier_non_papier_presque_vide:771.0006098747253 22052025|refus, 05102018_papier_non_papier_tres_dense:0 22052025|refus, 05102018_papier_non_papier_tres_peu_dense:0 22052025|tapis_vide, 05102018_papier_non_papier_dense:0 22052025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 22052025|tapis_vide, 05102018_papier_non_papier_presque_vide:992.0023019313812 22052025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 22052025|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 ! 22052025_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 58 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=22052025_emr_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23255551 with name like 22052025_emr_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=22052025_emr_05102018_papier_non_papier_tres_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23255555 with name like 22052025_emr_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : film_pedb 24 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=22052025_film_pedb_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23255557 with name like 22052025_film_pedb_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=22052025_film_pedb_05102018_papier_non_papier_tres_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23255560 with name like 22052025_film_pedb_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : flux_dev 21 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=22052025_flux_dev_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23255563 with name like 22052025_flux_dev_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : jrm 1 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=22052025_jrm_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23255566 with name like 22052025_jrm_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : pcm 13 Number amount portfolio for this type of dechet : pcnc 24 Number amount portfolio for this type of dechet : pehd_pp 61 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=22052025_pehd_pp_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23255567 with name like 22052025_pehd_pp_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : pet_clair 48 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=22052025_pet_clair_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23255570 with name like 22052025_pet_clair_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : refus 52 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=22052025_refus_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23255573 with name like 22052025_refus_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : tapis_vide 38 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=22052025_tapis_vide_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23255576 with name like 22052025_tapis_vide_05102018_papier_non_papier_presque_vide NUMBER BATCH : 15 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 : ['emr', 'gm', 'jrm', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev', 'aluminium', 'tapis_vide', 'refus', 'emr', 'gm'] We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_refus:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 13, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 131.00203895568848, 2: 0, 3: 0, 4: 0}, 'duration': 130.00000500679016, 'nb_balles_papier': 0.13100203895568846, 'begin_time_port': 'image_22052025_05_59_48_010266m0.jpg 0.010001122951507568 for time 10.001122951507568, id_amount 2 this amount prod time diff : 0.010001122951507568'} Production hashtag (incorrect ponderation at 20-10-18) : 0.13100203895568846 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_flux_dev:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 8, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 100.99999690055847, 2: 0, 3: 0, 4: 0}, 'duration': 89.99986505508423, 'nb_balles_papier': 0.10099999690055847, 'begin_time_port': 'image_22052025_06_02_09_010403m0.jpg 0.011000131845474244 for time 11.000131845474243, id_amount 2 this amount prod time diff : 0.011000131845474244'} Production hashtag (incorrect ponderation at 20-10-18) : 0.10099999690055847 We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! result_one_balle_Type_pet_clair:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 26, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 399.9999439716339, 2: 0, 3: 0, 4: 0}, 'duration': 279.9999749660492, 'nb_balles_papier': 0.39999994397163396, 'begin_time_port': 'image_22052025_06_10_09_010328m0.jpg 0.11999996900558473 for time 119.99996900558472, id_amount 2 this amount prod time diff : 0.11999996900558473'} Production hashtag (incorrect ponderation at 20-10-18) : 0.39999994397163396 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! result_one_balle_Type_pehd_pp:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 27, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 339.99989318847656, 2: 0, 3: 0, 4: 0}, 'duration': 279.99989914894104, 'nb_balles_papier': 0.3399998931884766, 'begin_time_port': 'image_22052025_06_20_09_010351m0.jpg 0.05999999403953552 for time 59.99999403953552, id_amount 2 this amount prod time diff : 0.05999999403953552'} Production hashtag (incorrect ponderation at 20-10-18) : 0.3399998931884766 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 28, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 280.0011489391327, 2: 10.999999046325684, 3: 0, 4: 0}, 'duration': 280.9999749660492, 'nb_balles_papier': 0.2910011479854584, 'begin_time_port': 'image_22052025_06_29_38_010308m0.jpg 0.01000117301940918 for time 10.00117301940918, id_amount 2 this amount prod time diff : 0.01000117301940918'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2910011479854584 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 28, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 280.0011489391327, 2: 10.999999046325684, 3: 0, 4: 0}, 'duration': 280.9999749660492, 'nb_balles_papier': 0.2910011479854584, 'begin_time_port': 'image_22052025_06_29_38_010308m0.jpg 0.01000117301940918 for time 10.00117301940918, id_amount 2 this amount prod time diff : 0.01000117301940918'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2910011479854584 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! result_one_balle_Type_pet_clair:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 22, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 248.9999008178711, 2: 0, 3: 0, 4: 0}, 'duration': 240.00099897384644, 'nb_balles_papier': 0.24899990081787113, 'begin_time_port': 'image_22052025_06_39_58_009275m0.jpg 0.008998901844024658 for time 8.998901844024658, id_amount 2 this amount prod time diff : 0.008998901844024658'} Production hashtag (incorrect ponderation at 20-10-18) : 0.24899990081787113 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_film_pedb:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 27, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 351.997967004776, 2: 29.001013040542603, 3: 0, 4: 0}, 'duration': 388.99877882003784, 'nb_balles_papier': 0.3809989800453187, 'begin_time_port': 'image_22052025_06_57_49_010322m0.jpg 0.0810012321472168 for time 81.0012321472168, id_amount 2 this amount prod time diff : 0.0810012321472168'} Production hashtag (incorrect ponderation at 20-10-18) : 0.3809989800453187 We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 17, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 251.9996280670166, 2: 30.001332998275757, 3: 0, 4: 0}, 'duration': 210.0000400543213, 'nb_balles_papier': 0.2820009610652924, 'begin_time_port': 'image_22052025_07_08_29_010311m0.jpg 0.08099985694885255 for time 80.99985694885254, id_amount 2 this amount prod time diff : 0.08099985694885255'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2820009610652924 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 17, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 251.9996280670166, 2: 30.001332998275757, 3: 0, 4: 0}, 'duration': 210.0000400543213, 'nb_balles_papier': 0.2820009610652924, 'begin_time_port': 'image_22052025_07_08_29_010311m0.jpg 0.08099985694885255 for time 80.99985694885254, id_amount 2 this amount prod time diff : 0.08099985694885255'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2820009610652924 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_refus:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 36, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 490.0000960826874, 2: 0, 3: 0, 4: 0}, 'duration': 408.99888801574707, 'nb_balles_papier': 0.4900000960826873, 'begin_time_port': 'image_22052025_07_15_39_010334m0.jpg 0.0810012080669403 for time 81.00120806694031, id_amount 2 this amount prod time diff : 0.0810012080669403'} Production hashtag (incorrect ponderation at 20-10-18) : 0.4900000960826873 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! result_one_balle_Type_pehd_pp:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 44, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 471.00221395492554, 2: 0, 3: 0, 4: 0}, 'duration': 951.0013267993927, 'nb_balles_papier': 0.4720022139549256, 'begin_time_port': 'image_22052025_07_26_28_009164m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.4720022139549256 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 19, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 190.0000069141388, 2: 39.99984788894653, 3: 0, 4: 0}, 'duration': 219.99854278564453, 'nb_balles_papier': 0.22999985480308535, 'begin_time_port': 'image_22052025_07_46_58_010476m0.jpg 0.010001312017440795 for time 10.001312017440796, id_amount 2 this amount prod time diff : 0.010001312017440795'} Production hashtag (incorrect ponderation at 20-10-18) : 0.22999985480308535 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '22052025', 'map_nb_amount': {0: 0, 1: 19, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 190.0000069141388, 2: 39.99984788894653, 3: 0, 4: 0}, 'duration': 219.99854278564453, 'nb_balles_papier': 0.22999985480308535, 'begin_time_port': 'image_22052025_07_46_58_010476m0.jpg 0.010001312017440795 for time 10.001312017440796, id_amount 2 this amount prod time diff : 0.010001312017440795'} Production hashtag (incorrect ponderation at 20-10-18) : 0.22999985480308535 We filter photos on hashtag condition ! We have rejected 5 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 14 list_same_port_ids : [23251842] find same portfolio which already exist 23251842 , we will use it list_same_port_ids : [23251848] find same portfolio which already exist 23251848 , we will use it list_same_port_ids : [23254118] find same portfolio which already exist 23254118 , we will use it list_same_port_ids : [23254120] find same portfolio which already exist 23254120 , we will use it list_same_port_ids : [23254122] find same portfolio which already exist 23254122 , we will use it list_same_port_ids : [23254122] find same portfolio which already exist 23254122 , we will use it list_same_port_ids : [23254124] find same portfolio which already exist 23254124 , we will use it list_same_port_ids : [23254127] find same portfolio which already exist 23254127 , we will use it list_same_port_ids : [23254129] find same portfolio which already exist 23254129 , we will use it list_same_port_ids : [23254129] find same portfolio which already exist 23254129 , we will use it list_same_port_ids : [23254131] find same portfolio which already exist 23254131 , we will use it list_same_port_ids : [23254133] find same portfolio which already exist 23254133 , we will use it list_same_port_ids : [23254135] find same portfolio which already exist 23254135 , we will use it list_same_port_ids : [23254135] find same portfolio which already exist 23254135 , we will use it Qualite : 0.11391654424857552 # 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 ! 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( 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`=23251842 AND mptpi.`type`=3594 To do Qualite : 0.0822875695539038 # 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 ! 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 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 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`=23251848 AND mptpi.`type`=4200 To do # 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 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 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 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 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`=23254118 AND mptpi.`type`=3327 To do # 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 ! 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 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 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`=23254120 AND mptpi.`type`=4211 To do # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=23254122 AND mptpi.`type`=4207 To do # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=23254122 AND mptpi.`type`=4207 To do # 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 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 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 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 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`=23254124 AND mptpi.`type`=3327 To do Qualite : 0.2886994969915421 # 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 ! 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 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 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`=23254127 AND mptpi.`type`=4461 To do # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=23254129 AND mptpi.`type`=4207 To do # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=23254129 AND mptpi.`type`=4207 To do # 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 ! 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( 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`=23254131 AND mptpi.`type`=3594 To do Qualite : 0.03536268172668564 # 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 ! 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 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 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`=23254133 AND mptpi.`type`=4211 To do # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=23254135 AND mptpi.`type`=4207 To do # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! 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 ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=23254135 AND mptpi.`type`=4207 To do elapsed_time : count_nb_balles_and_create_portfolio 45.435218811035156 # DISPLAY ALL COLLECTED DATA : {'22052025': {'nb_upload': 516, 'nb_taggue_class': 383, 'nb_taggue_densite': 383, 'nb_descriptors': 333, 'number_port': 15, 'count_photo_in_port': 304, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 69, 'nb_portfolios': 3}, 'film_pedb': {'nb_photos': 30, 'nb_portfolios': 1}, 'flux_dev': {'nb_photos': 11, 'nb_portfolios': 2}, 'jrm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcm': {'nb_photos': 2, 'nb_portfolios': 1}, 'pcnc': {'nb_photos': 24, 'nb_portfolios': 1}, 'pehd_pp': {'nb_photos': 71, 'nb_portfolios': 2}, 'pet_clair': {'nb_photos': 48, 'nb_portfolios': 2}, 'refus': {'nb_photos': 49, 'nb_portfolios': 2}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 1}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1360445819, 1360445815, 1360445477, 1360445473, 1360445282, 1360445274, 1360445266, 1360445176, 1360445171, 1360445168, 1360445136, 1360445129, 1360444955, 1360444880, 1360444848, 1360444817, 1360444787, 1360444782, 1360444652, 1360444619, 1360444585, 1360444565, 1360444561, 1360444559, 1360444534, 1360444524, 1360444501, 1360444450, 1360444421, 1360444398, 1360444158, 1360444042, 1360443927, 1360443893, 1360443862, 1360443813, 1360443354, 1360443323, 1360443319, 1360443316, 1360443314, 1360442062, 1360441998, 1360441776, 1360441774, 1360441771, 1360441753, 1360441748, 1360441744, 1360441740, 1360441735, 1360441731, 1360441703, 1360441699, 1360441696, 1360441694, 1360441689, 1360441658, 1360441469, 1360441466, 1360441461, 1360441457, 1360441452, 1360441448, 1360441404, 1360441399, 1360441396, 1360441393, 1360441388, 1360441384, 1360441335, 1360441322, 1360441319, 1360441315, 1360441313, 1360441311, 1360441273, 1360441269, 1360441264, 1360441262, 1360441258, 1360441254, 1360441176, 1360440693, 1360439809, 1360439795, 1360439790, 1360439786, 1360439775, 1360439762, 1360439752, 1360439750, 1360439742, 1360439738, 1360439733, 1360439695, 1360439692, 1360439689, 1360439688, 1360439684] Looping around the photos to save general results len do output : 1 /23235267Didn'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 ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360445819', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360445815', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360445477', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360445473', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360445282', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360445274', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360445266', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360445176', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360445171', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360445168', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360445136', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360445129', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444955', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444880', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444848', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444817', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444787', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444782', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444652', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444619', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444585', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444565', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444561', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444559', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444534', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444524', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444501', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444450', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444421', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444398', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444158', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360444042', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360443927', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360443893', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360443862', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360443813', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360443354', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360443323', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360443319', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360443316', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360443314', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360442062', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441998', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441776', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441774', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441771', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441753', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441748', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441744', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441740', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441735', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441731', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441703', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441699', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441696', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441694', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441689', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441658', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441469', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441466', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441461', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441457', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441452', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441448', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441404', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441399', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441396', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441393', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441388', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441384', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441335', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441322', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441319', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441315', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441313', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441311', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441273', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441269', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441264', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441262', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441258', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441254', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360441176', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360440693', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439809', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439795', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439790', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439786', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439775', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439762', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439752', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439750', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439742', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439738', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439733', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439695', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439692', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439689', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439688', None, None, None, None, None, '2933422') ('4891', None, None, None, None, None, None, None, '2933422') ('4891', '23235267', '1360439684', None, None, None, None, None, '2933422') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.31861376762390137 save_final save missing photos in datou_result : time spend for datou_step_exec : 63.040592670440674 time spend to save output : 0.31972837448120117 total time spend for step 1 : 63.360321044921875 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 3.13user 0.64system 1:07.72elapsed 5%CPU (0avgtext+0avgdata 105280maxresident)k 16968inputs+3152outputs (1472major+51387minor)pagefaults 0swaps