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 : 1278205 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 : ['2903646'] with mtr_portfolio_ids : ['23147082'] and first list_photo_ids : [] new path : /proc/1278205/ 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 : 0.030127525329589844 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Tue May 20 08:30:27 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 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', 2), ('01', 5), ('02', 3), ('03', 3), ('04', 6), ('05', 60), ('06', 176), ('07', 161), ('08', 110)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 427} 20052025 23147082 Nombre de photos uploadées : 526 / 23040 (2%) 20052025 23147082 Nombre de photos taguées (types de déchets): 427 / 526 (81%) 20052025 23147082 Nombre de photos taguées (volume) : 427 / 526 (81%) elapsed_time : load_data_split_time_score 3.814697265625e-06 elapsed_time : order_list_meta_photo_and_scores 0.00024127960205078125 ??????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.11355400085449219 elapsed_time : insert_dashboard_record_day_entry 0.02707362174987793 Creating list_photo_total elapsed_time : select_descriptors 15.357017755508423 20052025 23147082 Nombre de photos avec descriptors (type 6092) : 333 / 432 (77%) Missing descriptors for photos 0 and 1359751679 0:00:00|ON:Missing descriptors for photos 1359751679 and 1359669992 Missing descriptors for photos 1359669992 and 1359677862 Missing descriptors for photos 1359677862 and 1359683363 Missing descriptors for photos 1359683363 and 1359685248 Missing descriptors for photos 1359685248 and 1359689698 Missing descriptors for photos 1359689698 and 1359693238 Missing descriptors for photos 1359693238 and 1359704826 Missing descriptors for photos 1359704826 and 1359705691 Missing descriptors for photos 1359705691 and 1359708971 Missing descriptors for photos 1359708971 and 1359712016 Missing descriptors for photos 1359712016 and 1359712497 Missing descriptors for photos 1359712497 and 1359720703 Missing descriptors for photos 1359720703 and 1359736443 Missing descriptors for photos 1359736443 and 1359736778 Missing descriptors for photos 1359736778 and 1359737912 Missing descriptors for photos 1359737912 and 1359738178 Missing descriptors for photos 1359738178 and 1359740122 Missing descriptors for photos 1359740122 and 1359743630 Missing descriptors for photos 1359743630 and 1359751692 Missing descriptors for photos 1359751692 and 1359751973 Missing descriptors for photos 1359751973 and 1359751996 Missing descriptors for photos 1359751996 and 1359752036 Missing descriptors for photos 1359752036 and 1359752122 Missing descriptors for photos 1359752276 and 1359752300 Missing descriptors for photos 1359752300 and 1359752352 Missing descriptors for photos 1359752352 and 1359752353 Missing descriptors for photos 1359752353 and 1359752460 Missing descriptors for photos 1359752460 and 1359752462 Missing descriptors for photos 1359752462 and 1359752749 Missing descriptors for photos 1359752940 and 1359752941 Missing descriptors for photos 1359752941 and 1359752944 Missing descriptors for photos 1359752944 and 1359754004 Missing descriptors for photos 1359754004 and 1359754143 Missing descriptors for photos 1359755567 and 1359755203 Missing descriptors for photos 1359757650 and 1359757796 Missing descriptors for photos 1359757796 and 1359758711 Missing descriptors for photos 1359758711 and 1359758307 Missing descriptors for photos 1359758307 and 1359758714 Missing descriptors for photos 1359758714 and 1359758770 Missing descriptors for photos 1359758770 and 1359758772 Missing descriptors for photos 1359758772 and 1359758799 Missing descriptors for photos 1359759071 and 1359758948 6:05:58.998951|OFF:0:00:20.000882|ON:Missing descriptors for photos 1359759319 and 1359759910 Missing descriptors for photos 1359759910 and 1359759939 Missing descriptors for photos 1359759939 and 1359760290 Missing descriptors for photos 1359760290 and 1359760553 Missing descriptors for photos 1359761466 and 1359762127 Missing descriptors for photos 1359762127 and 1359762151 Missing descriptors for photos 1359762151 and 1359762566 0:21:10.000055|OFF:0:00:30.000047|ON:0:00:39.999963|OFF:0:00:30.000027|ON:0:01:59.999904|OFF:0:00:10.000197|ON:Missing descriptors for photos 1359764890 and 1359764996 Missing descriptors for photos 1359764996 and 1359765051 Missing descriptors for photos 1359765292 and 1359765295 Missing descriptors for photos 1359765295 and 1359765298 Missing descriptors for photos 1359765298 and 1359765694 Missing descriptors for photos 1359765694 and 1359765698 Missing descriptors for photos 1359765698 and 1359765828 Missing descriptors for photos 1359766941 and 1359766969 Missing descriptors for photos 1359766969 and 1359767145 0:28:59.999866|OFF:0:00:20.000100|ON:Missing descriptors for photos 1359767339 and 1359767634 Missing descriptors for photos 1359767634 and 1359767428 Missing descriptors for photos 1359767428 and 1359767674 Missing descriptors for photos 1359769467 and 1359769478 Missing descriptors for photos 1359769478 and 1359770389 Missing descriptors for photos 1359770389 and 1359769560 0:17:49.999837|OFF:0:00:10.999997|ON:Missing descriptors for photos 1359770819 and 1359771163 Missing descriptors for photos 1359771163 and 1359771166 Missing descriptors for photos 1359771166 and 1359771179 Missing descriptors for photos 1359771179 and 1359771615 Missing descriptors for photos 1359771615 and 1359771674 Missing descriptors for photos 1359771674 and 1359772231 Missing descriptors for photos 1359772231 and 1359772262 Missing descriptors for photos 1359772262 and 1359772066 Missing descriptors for photos 1359772066 and 1359773256 Missing descriptors for photos 1359773256 and 1359773258 ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1359773566 photo_id_prec : 1359773481 Missing descriptors for photos 1359773566 and 1359773635 Missing descriptors for photos 1359773635 and 1359773658 Missing descriptors for photos 1359773658 and 1359773665 Missing descriptors for photos 1359773665 and 1359773690 Missing descriptors for photos 1359773690 and 1359773695 Missing descriptors for photos 1359773695 and 1359773698 Missing descriptors for photos 1359773698 and 1359773704 Missing descriptors for photos 1359773704 and 1359773707 Missing descriptors for photos 1359773707 and 1359773742 Missing descriptors for photos 1359773742 and 1359773746 Missing descriptors for photos 1359773746 and 1359773756 Missing descriptors for photos 1359773756 and 1359773761 Missing descriptors for photos 1359773761 and 1359773795 Missing descriptors for photos 1359773795 and 1359773798 Missing descriptors for photos 1359773798 and 1359773803 Missing descriptors for photos 1359773803 and 1359773807 Missing descriptors for photos 1359773807 and 1359773818 Missing descriptors for photos 1359773818 and 1359773848 Missing descriptors for photos 1359773848 and 1359773851 Missing descriptors for photos 1359773851 and 1359773854 Missing descriptors for photos 1359773854 and 1359773889 Missing descriptors for photos 1359773889 and 1359773892 Missing descriptors for photos 1359773892 and 1359773897 Missing descriptors for photos 1359773897 and 1359773903 Missing descriptors for photos 1359773903 and 1359773917 Missing descriptors for photos 1359773917 and 1359773875 Missing descriptors for photos 1359773875 and 1359773943 Missing descriptors for photos 1359773943 and 1359773947 Missing descriptors for photos 1359773947 and 1359773952 Missing descriptors for photos 1359773952 and 1359773956 Missing descriptors for photos 1359773956 and 1359773961 Missing descriptors for photos 1359773961 and 1359774861 Missing descriptors for photos 1359774861 and 1359774866 Missing descriptors for photos 1359774866 and 1359775032 Missing descriptors for photos 1359775032 and 1359775035 Missing descriptors for photos 1359775035 and 1359775037 Missing descriptors for photos 1359775037 and 1359775041 Missing descriptors for photos 1359775041 and 1359775044 Missing descriptors for photos 1359775044 and 1359775048 Missing descriptors for photos 1359775048 and 1359775221 Missing descriptors for photos 1359775221 and 1359775246 Missing descriptors for photos 1359775246 and 1359775249 Missing descriptors for photos 1359775249 and 1359775252 Missing descriptors for photos 1359775252 and 1359775266 Missing descriptors for photos 1359775266 and 1359775286 Missing descriptors for photos 1359775286 and 1359775318 Missing descriptors for photos 1359775318 and 1359775322 Missing descriptors for photos 1359775322 and 1359775324 Missing descriptors for photos 1359775324 and 1359775327 Missing descriptors for photos 1359775327 and 1359775330 Missing descriptors for photos 1359775330 and 1359775333 Missing descriptors for photos 1359775333 and 1359775492 Missing descriptors for photos 1359775492 and 1359775498 Missing descriptors for photos 1359775498 and 1359775509 Missing descriptors for photos 1359775509 and 1359775519 Missing descriptors for photos 1359775519 and 1359775533 Missing descriptors for photos 1359775533 and 1359775664 Missing descriptors for photos 1359775664 and 1359775343 Missing descriptors for photos 1359775343 and 1359776074 Missing descriptors for photos 1359776074 and 1359776077 Missing descriptors for photos 1359776077 and 1359776109 Missing descriptors for photos 1359776109 and 1359776149 Missing descriptors for photos 1359776149 and 1359776243 Missing descriptors for photos 1359776243 and 1359776249 Missing descriptors for photos 1359776249 and 1359776289 Missing descriptors for photos 1359776289 and 1359776292 Missing descriptors for photos 1359776292 and 1359776295 Missing descriptors for photos 1359776295 and 1359776298 Missing descriptors for photos 1359776298 and 1359776331 Missing descriptors for photos 1359776331 and 1359776335 Missing descriptors for photos 1359776335 and 1359776339 Missing descriptors for photos 1359776339 and 1359776349 Missing descriptors for photos 1359776349 and 1359776359 Missing descriptors for photos 1359776359 and 1359776416 Missing descriptors for photos 1359776416 and 1359776572 Missing descriptors for photos 1359776572 and 1359776575 Missing descriptors for photos 1359776575 and 1359776578 Missing descriptors for photos 1359776578 and 1359776580 Missing descriptors for photos 1359776580 and 1359776582 Missing descriptors for photos 1359776582 and 1359776585 Missing descriptors for photos 1359776585 and 1359776678 Missing descriptors for photos 1359776678 and 1359776732 Missing descriptors for photos 1359776732 and 1359776746 Missing descriptors for photos 1359776746 and 1359776752 Missing descriptors for photos 1359776752 and 1359776756 Missing descriptors for photos 1359776756 and 1359776768 Missing descriptors for photos 1359776768 and 1359776865 Missing descriptors for photos 1359776865 and 1359776870 Missing descriptors for photos 1359776870 and 1359776873 Missing descriptors for photos 1359776873 and 1359776876 Missing descriptors for photos 1359776876 and 1359776879 Missing descriptors for photos 1359776879 and 1359776882 Missing descriptors for photos 1359776882 and 1359776919 Missing descriptors for photos 1359776919 and 1359776925 Missing descriptors for photos 1359776925 and 1359776929 Missing descriptors for photos 1359776929 and 1359776932 Missing descriptors for photos 1359776932 and 1359776937 Missing descriptors for photos 1359776937 and 1359776946 20052025 Removing 10 photos because of the 'same image' condition Total on : 26198.998576 list_time_on Total off : 121.00125 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 526 time used for this insertion : 15.164127111434937 photos_removed : len 10 elapsed_time : remove_photo_duplicate 15.338633298873901 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 time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average 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ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger 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is bigger than the limit of interval, we ignore the result of this image in moving average ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.132551908493042 Total photos : 526 .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 : 2107755846 photo_id =1359752127 : 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 .can't find max_score_info .Change port : 21 hashtag : 2107760239 photo_id =1359752756 : 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 .Change port : 21 hashtag : 492741797 photo_id =1359754269 : ela .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 : 38 hashtag : 538914404 photo_id =1359755598 : refus .......................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 : 23 hashtag : 2107755846 photo_id =1359758801 : pet_clair ....................can't find max_score_info .can't find max_score_info .Change port : 20 hashtag : 616987804 photo_id =1359759073 : 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 .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 26 hashtag : 2107755846 photo_id =1359760556 : 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 .Change port : 23 hashtag : 2107760237 photo_id =1359762619 : 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 .Change port : 29 hashtag : 538914404 photo_id =1359765052 : refus .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 : 22 hashtag : 2107755846 photo_id =1359765937 : pet_clair .......................can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 23 hashtag : 616987804 photo_id =1359767151 : 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 : 17 hashtag : 538914404 photo_id =1359767754 : refus .........................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 : 25 hashtag : 1284539308 photo_id =1359770391 : 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 .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 : 28 hashtag : 2107760239 photo_id =1359773281 : pehd_pp ...... Total photos : 526 Number of lists : 15 counter photos in port : 323 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 38 photos in 1 portfolios ! hashtag : emr(616987804) : 43 photos in 2 portfolios ! hashtag : film_pedb(2107760237) : 29 photos in 1 portfolios ! hashtag : flux_dev(2107760238) : 0 photos in 0 portfolios ! hashtag : jrm(495916461) : 0 photos in 0 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 28 photos in 1 portfolios ! hashtag : pehd_pp(2107760239) : 28 photos in 2 portfolios ! hashtag : pet_clair(2107755846) : 87 photos in 4 portfolios ! hashtag : refus(538914404) : 70 photos in 3 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 1 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.016938447952270508 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 3.814697265625e-06 today str has not a value , we define it as the date of the first image todaystr_first : 20052025 attention , prev_timestamp is 0 , we do nothing ************************* BIG TIME 250.00004410743713 (219.99927401542664, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.897095, 0, 0, 1.869899997997284, 0.0046, 0.0, 1.9, 0.2200000801086426, -0.3483333933353424) on 21 1359752462 2025-05-20 05:48:37.010368 id_data : 51 *** BIG TIME 259.9987790584564 (551.0003390312195, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.29952195, 0, 1.9448999887943268, 0.0075, 0.0, 1.9, 0.00999994707107544, -0.0) on 42 1359754143 2025-05-20 06:00:17.009089 id_data : 79 * BIG TIME 259.9998531341553 (932.0014750957489, 1, 0, 0.5111636, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.01989987680912, 0.012, 0.0, 1.9, 0.029999906301498413, -0.049998170137405394) on 80 1359755203 2025-05-20 06:11:27.010322 id_data : 121 *** BIG TIME 150.00084805488586 (1220.999349117279, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.542331, 0, 2.0758999940872194, 0.0145, 0.0, 1.9, 0.05000128388404846, -0.06666672468185425) on 103 1359758307 2025-05-20 06:20:37.010317 id_data : 148 ****** BIG TIME 238.99997186660767 (1481.000512123108, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.26724082, 0, 2.1478999855041505, 0.0173, 0.0, 1.9, 0.009999606132507324, -0.0) on 123 1359759073 2025-05-20 06:33:47.010428 id_data : 175 * BIG TIME 388.99841499328613 (1750.9973592758179, 2, 0, 0, 0.45926073, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2.211000006699562, 0.0204, 0.0020001039028167723, 1.9, 0.011000191926956176, -0.0) on 148 1359759939 2025-05-20 06:45:37.009119 id_data : 206 ****** BIG TIME 219.99879813194275 (2381.9957132339478, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.36030254, 0, 2.353899987101555, 0.0271, 0.00900012490749359, 1.9, 0.010001117944717407, -0.0) on 200 1359765051 2025-05-20 07:06:57.009200 id_data : 273 *** BIG TIME 310.00115609169006 (2621.999643087387, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.30153927, 0, 2.4048999190092086, 0.0297, 0.00900012490749359, 1.9, 0.009999251127243041, -0.0) on 222 1359765698 2025-05-20 07:17:37.010344 id_data : 301 ***** BIG TIME 159.9989402294159 (2991.9988191127777, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.33124372, 0, 2.4818998637914658, 0.0326, 0.00900012490749359, 1.9, 0.009998790979385375, -0.0) on 245 1359767151 2025-05-20 07:29:07.009287 id_data : 329 ****** BIG TIME 320.00136399269104 (3531.9978580474854, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5317324, 0, 2.579899996590614, 0.0376, 0.01000012891292572, 1.9, 0.010000573873519897, -0.0) on 286 1359770391 2025-05-20 07:47:37.010486 id_data : 380 * BIG TIME 280.0000100135803 (3801.9987111091614, 7, 0, 0, 0, 0, 0, 0, 0, 0.27269396, 0, 0, 0, 0, 2.651999984908104, 0.0409, 0.011000127410888672, 1.9, 0.2709997892379761, -0.451666476726532) on 313 1359771166 2025-05-20 07:57:17.010331 id_data : 411 ***Unexpected type of data : ({'photo_id': 1359773566, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/78aaddb7aa0e08091b2957e908f7ab03.jpg', 'username': None, 'uploaded_at': 1747721123, 'text': 'image_20052025_08_03_57_10240.jpg', 'time': 1747728237.01024}, 'different') Unexpected type of data : ({'photo_id': 1359773635, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/a037138d8d851a5bb911881605df24af.jpg', 'username': None, 'uploaded_at': 1747721123, 'text': 'image_20052025_08_04_07_9505.jpg', 'time': 1747728247.009505}, 'different') Unexpected type of data : ({'photo_id': 1359773658, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/c2c0c9cefd6bc7afa86fabdf4a5604ff.jpg', 'username': None, 'uploaded_at': 1747721123, 'text': 'image_20052025_08_04_17_10565.jpg', 'time': 1747728257.010565}, 'different') Unexpected type of data : ({'photo_id': 1359773665, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/d299feaca05e81d9ce7fb2e5c92c25a1.jpg', 'username': None, 'uploaded_at': 1747721123, 'text': 'image_20052025_08_04_27_10283.jpg', 'time': 1747728267.010283}, 'different') Unexpected type of data : ({'photo_id': 1359773690, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/08d7ce8cfb9fa234d285b74bd5cf9000.jpg', 'username': None, 'uploaded_at': 1747721183, 'text': 'image_20052025_08_04_37_9097.jpg', 'time': 1747728277.009097}, 'different') Unexpected type of data : ({'photo_id': 1359773695, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/6e1b7f22b60ca30613b3f8a7bfa7ceae.jpg', 'username': None, 'uploaded_at': 1747721183, 'text': 'image_20052025_08_05_17_9246.jpg', 'time': 1747728317.009246}, 'different') Unexpected type of data : ({'photo_id': 1359773698, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/baa9cfb6892549f464e54a4c0b450ff3.jpg', 'username': None, 'uploaded_at': 1747721183, 'text': 'image_20052025_08_05_27_10319.jpg', 'time': 1747728327.010319}, 'different') Unexpected type of data : ({'photo_id': 1359773704, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/5b91c988e13fe3d05e00fa2fd090a520.jpg', 'username': None, 'uploaded_at': 1747721183, 'text': 'image_20052025_08_05_38_10238.jpg', 'time': 1747728338.010238}, 'different') Unexpected type of data : ({'photo_id': 1359773707, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/7c6736bec9f024423bc381a24ba8ef73.jpg', 'username': None, 'uploaded_at': 1747721183, 'text': 'image_20052025_08_05_47_9047.jpg', 'time': 1747728347.009047}, 'different') Unexpected type of data : ({'photo_id': 1359773742, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/0d3f0688af43ed11028ebd4712e118fc.jpg', 'username': None, 'uploaded_at': 1747721243, 'text': 'image_20052025_08_05_57_10247.jpg', 'time': 1747728357.010247}, 'different') Unexpected type of data : ({'photo_id': 1359773746, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/1039b1c3efc18a3897722efb02123514.jpg', 'username': None, 'uploaded_at': 1747721243, 'text': 'image_20052025_08_06_07_10491.jpg', 'time': 1747728367.010491}, 'different') Unexpected type of data : ({'photo_id': 1359773756, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/983c6331d70f5e002be0b715517e8451.jpg', 'username': None, 'uploaded_at': 1747721243, 'text': 'image_20052025_08_06_16_9168.jpg', 'time': 1747728376.009168}, 'different') Unexpected type of data : ({'photo_id': 1359773761, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/d23be3ca1c8140a8d95ce734782b6429.jpg', 'username': None, 'uploaded_at': 1747721243, 'text': 'image_20052025_08_06_27_10292.jpg', 'time': 1747728387.010292}, 'different') Unexpected type of data : ({'photo_id': 1359773795, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/3c9d780cc2525055651bab7cfbf17c4d.jpg', 'username': None, 'uploaded_at': 1747721303, 'text': 'image_20052025_08_06_58_10326.jpg', 'time': 1747728418.010326}, 'different') Unexpected type of data : ({'photo_id': 1359773798, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/3cd8d0c4ece61fd2bcbbb014cff6db2c.jpg', 'username': None, 'uploaded_at': 1747721303, 'text': 'image_20052025_08_07_07_9404.jpg', 'time': 1747728427.009404}, 'different') Unexpected type of data : ({'photo_id': 1359773803, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/b2fca6189940a88eea191933fcfb7f60.jpg', 'username': None, 'uploaded_at': 1747721303, 'text': 'image_20052025_08_07_17_10236.jpg', 'time': 1747728437.010236}, 'different') Unexpected type of data : ({'photo_id': 1359773807, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/de50ae6ad97bf00ede89f83627d7ba2d.jpg', 'username': None, 'uploaded_at': 1747721303, 'text': 'image_20052025_08_07_28_10326.jpg', 'time': 1747728448.010326}, 'different') Unexpected type of data : ({'photo_id': 1359773818, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/8f8e2bd72f2f051ff2df20e86b1d1caa.jpg', 'username': None, 'uploaded_at': 1747721303, 'text': 'image_20052025_08_07_37_9103.jpg', 'time': 1747728457.009103}, 'different') Unexpected type of data : ({'photo_id': 1359773848, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/39b077c26030b48e63083536b5de607e.jpg', 'username': None, 'uploaded_at': 1747721363, 'text': 'image_20052025_08_07_47_10338.jpg', 'time': 1747728467.010338}, 'different') Unexpected type of data : ({'photo_id': 1359773851, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/465f6fc6ff5d84f7ffbe43716efc673b.jpg', 'username': None, 'uploaded_at': 1747721363, 'text': 'image_20052025_08_08_38_10323.jpg', 'time': 1747728518.010323}, 'different') Unexpected type of data : ({'photo_id': 1359773854, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/2af72140b87281c9ff3bac4b6dc7080b.jpg', 'username': None, 'uploaded_at': 1747721363, 'text': 'image_20052025_08_08_47_9097.jpg', 'time': 1747728527.009097}, 'different') Unexpected type of data : ({'photo_id': 1359773889, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/c7616e837e9b34dfe0e086ce7c2928c8.jpg', 'username': None, 'uploaded_at': 1747721422, 'text': 'image_20052025_08_08_57_10238.jpg', 'time': 1747728537.010238}, 'different') Unexpected type of data : ({'photo_id': 1359773892, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/72e3b090110d95ebe29a71a59eb0c46c.jpg', 'username': None, 'uploaded_at': 1747721422, 'text': 'image_20052025_08_09_08_10594.jpg', 'time': 1747728548.010594}, 'different') Unexpected type of data : ({'photo_id': 1359773897, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/f7bb213e3d14fbade05d763ff5b52c51.jpg', 'username': None, 'uploaded_at': 1747721422, 'text': 'image_20052025_08_09_17_9114.jpg', 'time': 1747728557.009114}, 'different') Unexpected type of data : ({'photo_id': 1359773903, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/dc9197fe5d813e9fd2b0b218110ace52.jpg', 'username': None, 'uploaded_at': 1747721422, 'text': 'image_20052025_08_09_27_10288.jpg', 'time': 1747728567.010288}, 'different') Unexpected type of data : ({'photo_id': 1359773917, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/fbbce9be5cbe240585857c8b1af11cc5.jpg', 'username': None, 'uploaded_at': 1747721422, 'text': 'image_20052025_08_09_37_10316.jpg', 'time': 1747728577.010316}, 'different') Unexpected type of data : ({'photo_id': 1359773875, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/fb6b7ab8678210b241f1c70696178937.jpg', 'username': None, 'uploaded_at': 1747721403, 'text': 'image_20052025_08_09_46_9182.jpg', 'time': 1747728586.009182}, 'different') Unexpected type of data : ({'photo_id': 1359773943, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/7f900deb7ef2a2719396aa53c35beb26.jpg', 'username': None, 'uploaded_at': 1747721482, 'text': 'image_20052025_08_09_57_10244.jpg', 'time': 1747728597.010244}, 'different') Unexpected type of data : ({'photo_id': 1359773947, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/9ded77886a467482a78d954e2ba366b6.jpg', 'username': None, 'uploaded_at': 1747721482, 'text': 'image_20052025_08_10_17_10373.jpg', 'time': 1747728617.010373}, 'different') Unexpected type of data : ({'photo_id': 1359773952, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/c2e445057f92b512aa1531651078e767.jpg', 'username': None, 'uploaded_at': 1747721482, 'text': 'image_20052025_08_10_27_9196.jpg', 'time': 1747728627.009196}, 'different') Unexpected type of data : ({'photo_id': 1359773956, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/02fedc185e96a9b2f05ec50978cec1c9.jpg', 'username': None, 'uploaded_at': 1747721482, 'text': 'image_20052025_08_10_37_10403.jpg', 'time': 1747728637.010403}, 'different') Unexpected type of data : ({'photo_id': 1359773961, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/fc9ab4276232a8e1109bc9769c4b5ad9.jpg', 'username': None, 'uploaded_at': 1747721482, 'text': 'image_20052025_08_10_48_10455.jpg', 'time': 1747728648.010455}, 'different') Unexpected type of data : ({'photo_id': 1359774861, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/8886e5d79e98e0154a8e2a0ad3a76e1d.jpg', 'username': None, 'uploaded_at': 1747721723, 'text': 'image_20052025_08_10_57_9177.jpg', 'time': 1747728657.009177}, 'different') Unexpected type of data : ({'photo_id': 1359774866, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/36785effd008a281f212711226ecaaa1.jpg', 'username': None, 'uploaded_at': 1747721723, 'text': 'image_20052025_08_14_47_10373.jpg', 'time': 1747728887.010373}, 'different') Unexpected type of data : ({'photo_id': 1359775032, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/cbed1ea1875e6618aeb2df2a4948dda6.jpg', 'username': None, 'uploaded_at': 1747721783, 'text': 'image_20052025_08_14_58_10273.jpg', 'time': 1747728898.010273}, 'different') Unexpected type of data : ({'photo_id': 1359775035, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/81e7f38659ab36441adc1a64aeba5e8e.jpg', 'username': None, 'uploaded_at': 1747721783, 'text': 'image_20052025_08_15_07_9348.jpg', 'time': 1747728907.009348}, 'different') Unexpected type of data : ({'photo_id': 1359775037, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/8edad5b9d675ac0491d4524f8f699216.jpg', 'username': None, 'uploaded_at': 1747721783, 'text': 'image_20052025_08_15_17_10458.jpg', 'time': 1747728917.010458}, 'different') Unexpected type of data : ({'photo_id': 1359775041, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/df807362ae06d4d8aa8a4b6f30644756.jpg', 'username': None, 'uploaded_at': 1747721783, 'text': 'image_20052025_08_15_28_10290.jpg', 'time': 1747728928.01029}, 'different') Unexpected type of data : ({'photo_id': 1359775044, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/a8d99e1e8735e68d7d0953efab3a8775.jpg', 'username': None, 'uploaded_at': 1747721783, 'text': 'image_20052025_08_15_37_9114.jpg', 'time': 1747728937.009114}, 'different') Unexpected type of data : ({'photo_id': 1359775048, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/96ab807c68ed6fc2f55dfb80b591ab06.jpg', 'username': None, 'uploaded_at': 1747721783, 'text': 'image_20052025_08_15_47_10290.jpg', 'time': 1747728947.01029}, 'different') Unexpected type of data : ({'photo_id': 1359775221, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/20b0333b19801af55b1c8bc85df53652.jpg', 'username': None, 'uploaded_at': 1747721843, 'text': 'image_20052025_08_15_57_10266.jpg', 'time': 1747728957.010266}, 'different') Unexpected type of data : ({'photo_id': 1359775246, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/3cba25955861f91b0f6686c76e779fe7.jpg', 'username': None, 'uploaded_at': 1747721843, 'text': 'image_20052025_08_16_07_9615.jpg', 'time': 1747728967.009615}, 'different') Unexpected type of data : ({'photo_id': 1359775249, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/7c3c4667d7590c42b7fc6abc72d93f10.jpg', 'username': None, 'uploaded_at': 1747721843, 'text': 'image_20052025_08_16_17_10280.jpg', 'time': 1747728977.01028}, 'different') Unexpected type of data : ({'photo_id': 1359775252, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/60e9c0188505c7851b5c65fb6eabba6d.jpg', 'username': None, 'uploaded_at': 1747721843, 'text': 'image_20052025_08_16_28_10340.jpg', 'time': 1747728988.01034}, 'different') Unexpected type of data : ({'photo_id': 1359775266, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/bf278df465d0885a1633aafc6d878bbb.jpg', 'username': None, 'uploaded_at': 1747721843, 'text': 'image_20052025_08_16_37_9020.jpg', 'time': 1747728997.00902}, 'different') Unexpected type of data : ({'photo_id': 1359775286, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/3fcfd016cc9411728b31d21fb2b5b117.jpg', 'username': None, 'uploaded_at': 1747721843, 'text': 'image_20052025_08_16_47_10247.jpg', 'time': 1747729007.010247}, 'different') Unexpected type of data : ({'photo_id': 1359775318, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/a97808ab76494a4918cfd4b9c1f2af23.jpg', 'username': None, 'uploaded_at': 1747721902, 'text': 'image_20052025_08_16_57_10252.jpg', 'time': 1747729017.010252}, 'different') Unexpected type of data : ({'photo_id': 1359775322, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/b92622007eed31f854a566f59bacc530.jpg', 'username': None, 'uploaded_at': 1747721902, 'text': 'image_20052025_08_17_08_10490.jpg', 'time': 1747729028.01049}, 'different') Unexpected type of data : ({'photo_id': 1359775324, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/6c4f890bb10bd0dcd22ba83cb3136359.jpg', 'username': None, 'uploaded_at': 1747721902, 'text': 'image_20052025_08_17_17_9131.jpg', 'time': 1747729037.009131}, 'different') Unexpected type of data : ({'photo_id': 1359775327, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/c5e76a7a28b1bd232f47edbdf6d9da4c.jpg', 'username': None, 'uploaded_at': 1747721902, 'text': 'image_20052025_08_17_27_10259.jpg', 'time': 1747729047.010259}, 'different') Unexpected type of data : ({'photo_id': 1359775330, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/2a0ef4266a9dcaec2b7d0d1284c9b000.jpg', 'username': None, 'uploaded_at': 1747721902, 'text': 'image_20052025_08_17_38_10699.jpg', 'time': 1747729058.010699}, 'different') Unexpected type of data : ({'photo_id': 1359775333, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/a7e39bfa9021778f3137b63846a8eb6a.jpg', 'username': None, 'uploaded_at': 1747721902, 'text': 'image_20052025_08_17_47_9031.jpg', 'time': 1747729067.009031}, 'different') Unexpected type of data : ({'photo_id': 1359775492, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/1822b75c65c8e25389427c88361bfb90.jpg', 'username': None, 'uploaded_at': 1747721962, 'text': 'image_20052025_08_17_57_10241.jpg', 'time': 1747729077.010241}, 'different') Unexpected type of data : ({'photo_id': 1359775498, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/3f2e54d489d4ac36b913e16080e42e9a.jpg', 'username': None, 'uploaded_at': 1747721962, 'text': 'image_20052025_08_18_07_9655.jpg', 'time': 1747729087.009655}, 'different') Unexpected type of data : ({'photo_id': 1359775509, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/e62f9ec2f8c7905017e04a0930eeefe3.jpg', 'username': None, 'uploaded_at': 1747721962, 'text': 'image_20052025_08_18_17_10247.jpg', 'time': 1747729097.010247}, 'different') Unexpected type of data : ({'photo_id': 1359775519, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/27a78d1abfb12260525eef5261105e16.jpg', 'username': None, 'uploaded_at': 1747721962, 'text': 'image_20052025_08_18_27_10251.jpg', 'time': 1747729107.010251}, 'different') Unexpected type of data : ({'photo_id': 1359775533, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/5554bebd825ff9ab94e6b1e11d0c0fcf.jpg', 'username': None, 'uploaded_at': 1747721962, 'text': 'image_20052025_08_18_37_10337.jpg', 'time': 1747729117.010337}, 'different') Unexpected type of data : ({'photo_id': 1359775664, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/d8421a0e4a6c723575f2d3e8879591c0.jpg', 'username': None, 'uploaded_at': 1747722022, 'text': 'image_20052025_08_18_48_10251.jpg', 'time': 1747729128.010251}, 'different') Unexpected type of data : ({'photo_id': 1359775343, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/3d5b9eb726aee824e4a3d652fb298302.jpg', 'username': None, 'uploaded_at': 1747721943, 'text': 'image_20052025_08_18_57_9069.jpg', 'time': 1747729137.009069}, 'different') Unexpected type of data : ({'photo_id': 1359776074, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/b69824f2707d3268a62f58a17c51ba7f.jpg', 'username': None, 'uploaded_at': 1747722143, 'text': 'image_20052025_08_19_07_10690.jpg', 'time': 1747729147.01069}, 'different') Unexpected type of data : ({'photo_id': 1359776077, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/1e2c569f2044b0acdf3fe986d9dc754d.jpg', 'username': None, 'uploaded_at': 1747722143, 'text': 'image_20052025_08_21_17_10335.jpg', 'time': 1747729277.010335}, 'different') Unexpected type of data : ({'photo_id': 1359776109, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/e31840394f7e25e380e9b9d9e1a0e8cd.jpg', 'username': None, 'uploaded_at': 1747722143, 'text': 'image_20052025_08_21_27_10330.jpg', 'time': 1747729287.01033}, 'different') Unexpected type of data : ({'photo_id': 1359776149, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/7daea44e05a10f153f27ada5e05872f4.jpg', 'username': None, 'uploaded_at': 1747722143, 'text': 'image_20052025_08_21_37_9090.jpg', 'time': 1747729297.00909}, 'different') Unexpected type of data : ({'photo_id': 1359776243, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/f1b645707dbea68f3f037c5bc2fe76d5.jpg', 'username': None, 'uploaded_at': 1747722202, 'text': 'image_20052025_08_21_57_10416.jpg', 'time': 1747729317.010416}, 'different') Unexpected type of data : ({'photo_id': 1359776249, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/0c0be4b3c1b718e69c6392d84cb5d401.jpg', 'username': None, 'uploaded_at': 1747722202, 'text': 'image_20052025_08_22_07_9607.jpg', 'time': 1747729327.009607}, 'different') Unexpected type of data : ({'photo_id': 1359776289, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/fffb249a180626ec3aec5acb47efb564.jpg', 'username': None, 'uploaded_at': 1747722263, 'text': 'image_20052025_08_22_58_10359.jpg', 'time': 1747729378.010359}, 'different') Unexpected type of data : ({'photo_id': 1359776292, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/145d9d321b3063db156303efed891165.jpg', 'username': None, 'uploaded_at': 1747722263, 'text': 'image_20052025_08_23_07_9552.jpg', 'time': 1747729387.009552}, 'different') Unexpected type of data : ({'photo_id': 1359776295, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/95de79f1e272f4dc75ac57329c7b3290.jpg', 'username': None, 'uploaded_at': 1747722263, 'text': 'image_20052025_08_23_37_10399.jpg', 'time': 1747729417.010399}, 'different') Unexpected type of data : ({'photo_id': 1359776298, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/03528833f6815f3367147b0e658b4025.jpg', 'username': None, 'uploaded_at': 1747722263, 'text': 'image_20052025_08_23_47_10411.jpg', 'time': 1747729427.010411}, 'different') Unexpected type of data : ({'photo_id': 1359776331, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/7adac3710f4d82749f0eadf2a9ae5934.jpg', 'username': None, 'uploaded_at': 1747722323, 'text': 'image_20052025_08_23_57_9171.jpg', 'time': 1747729437.009171}, 'different') Unexpected type of data : ({'photo_id': 1359776335, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/c6fec9835835816008ef96f4ad343b04.jpg', 'username': None, 'uploaded_at': 1747722323, 'text': 'image_20052025_08_24_07_10701.jpg', 'time': 1747729447.010701}, 'different') Unexpected type of data : ({'photo_id': 1359776339, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/6833c2d0251e8e41276f4e0a0d09607c.jpg', 'username': None, 'uploaded_at': 1747722323, 'text': 'image_20052025_08_24_18_10263.jpg', 'time': 1747729458.010263}, 'different') Unexpected type of data : ({'photo_id': 1359776349, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/dfd339685115d3da0b3aa7a6789827d7.jpg', 'username': None, 'uploaded_at': 1747722323, 'text': 'image_20052025_08_24_27_9022.jpg', 'time': 1747729467.009022}, 'different') Unexpected type of data : ({'photo_id': 1359776359, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/28c9c061533137ed2acd861fa047dc44.jpg', 'username': None, 'uploaded_at': 1747722323, 'text': 'image_20052025_08_24_37_10312.jpg', 'time': 1747729477.010312}, 'different') Unexpected type of data : ({'photo_id': 1359776416, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/dbf04915e65882bd4896cb7c69fb8282.jpg', 'username': None, 'uploaded_at': 1747722323, 'text': 'image_20052025_08_24_47_10231.jpg', 'time': 1747729487.010231}, 'different') Unexpected type of data : ({'photo_id': 1359776572, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/f79826c869a99cf5b51998cb205b4792.jpg', 'username': None, 'uploaded_at': 1747722383, 'text': 'image_20052025_08_24_57_10229.jpg', 'time': 1747729497.010229}, 'different') Unexpected type of data : ({'photo_id': 1359776575, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/22ea648aa0b2c1c5e874fb3dbe9aa4dc.jpg', 'username': None, 'uploaded_at': 1747722383, 'text': 'image_20052025_08_25_07_9305.jpg', 'time': 1747729507.009305}, 'different') Unexpected type of data : ({'photo_id': 1359776578, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/063c4701599e7c2dd333656d0a9b3e11.jpg', 'username': None, 'uploaded_at': 1747722383, 'text': 'image_20052025_08_25_17_10303.jpg', 'time': 1747729517.010303}, 'different') Unexpected type of data : ({'photo_id': 1359776580, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/e634b04e4138b199431ae52f66af472f.jpg', 'username': None, 'uploaded_at': 1747722383, 'text': 'image_20052025_08_25_27_10263.jpg', 'time': 1747729527.010263}, 'different') Unexpected type of data : ({'photo_id': 1359776582, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/10c69247f7240ec1533a95b3908aa9b9.jpg', 'username': None, 'uploaded_at': 1747722383, 'text': 'image_20052025_08_25_38_10349.jpg', 'time': 1747729538.010349}, 'different') Unexpected type of data : ({'photo_id': 1359776585, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/3449c7fede75cef04674919001f673ed.jpg', 'username': None, 'uploaded_at': 1747722383, 'text': 'image_20052025_08_25_47_9066.jpg', 'time': 1747729547.009066}, 'different') Unexpected type of data : ({'photo_id': 1359776678, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/d9fc81d32c966ea63d93d12588aeef56.jpg', 'username': None, 'uploaded_at': 1747722442, 'text': 'image_20052025_08_25_57_10236.jpg', 'time': 1747729557.010236}, 'different') Unexpected type of data : ({'photo_id': 1359776732, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/6676584edb3502e4dbdfe4b46e3fe2e4.jpg', 'username': None, 'uploaded_at': 1747722442, 'text': 'image_20052025_08_26_07_10591.jpg', 'time': 1747729567.010591}, 'different') Unexpected type of data : ({'photo_id': 1359776746, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/a157cad338596f3c51636e0b23d0a181.jpg', 'username': None, 'uploaded_at': 1747722442, 'text': 'image_20052025_08_26_17_9250.jpg', 'time': 1747729577.00925}, 'different') Unexpected type of data : ({'photo_id': 1359776752, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/5eb1f3fe236ed9e752bd6dc4da8b4ac1.jpg', 'username': None, 'uploaded_at': 1747722442, 'text': 'image_20052025_08_26_27_10270.jpg', 'time': 1747729587.01027}, 'different') Unexpected type of data : ({'photo_id': 1359776756, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/893efbc115d6bfdece0374a576c7decb.jpg', 'username': None, 'uploaded_at': 1747722442, 'text': 'image_20052025_08_26_37_10250.jpg', 'time': 1747729597.01025}, 'different') Unexpected type of data : ({'photo_id': 1359776768, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/9067e50f7e8a93b5f3eb87932a784457.jpg', 'username': None, 'uploaded_at': 1747722442, 'text': 'image_20052025_08_26_48_10333.jpg', 'time': 1747729608.010333}, 'different') Unexpected type of data : ({'photo_id': 1359776865, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/9ec9f8fc1a2c01886675ce1e6eb8e3e4.jpg', 'username': None, 'uploaded_at': 1747722502, 'text': 'image_20052025_08_26_57_9196.jpg', 'time': 1747729617.009196}, 'different') Unexpected type of data : ({'photo_id': 1359776870, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/be6d2a87328d06bd2ea4f20a3b43e18a.jpg', 'username': None, 'uploaded_at': 1747722502, 'text': 'image_20052025_08_27_08_10855.jpg', 'time': 1747729628.010855}, 'different') Unexpected type of data : ({'photo_id': 1359776873, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/e2d004510a7720f747d46cddf7b625c8.jpg', 'username': None, 'uploaded_at': 1747722502, 'text': 'image_20052025_08_27_17_9046.jpg', 'time': 1747729637.009046}, 'different') Unexpected type of data : ({'photo_id': 1359776876, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/468a91980ab16cf704a0b7b37a7e48d0.jpg', 'username': None, 'uploaded_at': 1747722502, 'text': 'image_20052025_08_27_27_10290.jpg', 'time': 1747729647.01029}, 'different') Unexpected type of data : ({'photo_id': 1359776879, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/cb979da25b34a8e466437b908244f7f4.jpg', 'username': None, 'uploaded_at': 1747722502, 'text': 'image_20052025_08_27_37_10299.jpg', 'time': 1747729657.010299}, 'different') Unexpected type of data : ({'photo_id': 1359776882, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/99918c147bf48a92f6de1feaac932b76.jpg', 'username': None, 'uploaded_at': 1747722502, 'text': 'image_20052025_08_27_48_10330.jpg', 'time': 1747729668.01033}, 'different') Unexpected type of data : ({'photo_id': 1359776919, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/aca07961715ff19cdd897e89ea1de364.jpg', 'username': None, 'uploaded_at': 1747722562, 'text': 'image_20052025_08_27_57_9038.jpg', 'time': 1747729677.009038}, 'different') Unexpected type of data : ({'photo_id': 1359776925, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/3461ea4e508219cf5e8307c4dfcadcd1.jpg', 'username': None, 'uploaded_at': 1747722562, 'text': 'image_20052025_08_28_07_10611.jpg', 'time': 1747729687.010611}, 'different') Unexpected type of data : ({'photo_id': 1359776929, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/710ba1591863db860e071b2fed98f945.jpg', 'username': None, 'uploaded_at': 1747722562, 'text': 'image_20052025_08_28_18_10335.jpg', 'time': 1747729698.010335}, 'different') Unexpected type of data : ({'photo_id': 1359776932, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/59ee1232dba32076d21b9aa286ab0d80.jpg', 'username': None, 'uploaded_at': 1747722562, 'text': 'image_20052025_08_28_27_9072.jpg', 'time': 1747729707.009072}, 'different') Unexpected type of data : ({'photo_id': 1359776937, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/2ca9289343277dac8a7380af7249b3c8.jpg', 'username': None, 'uploaded_at': 1747722562, 'text': 'image_20052025_08_28_37_10478.jpg', 'time': 1747729717.010478}, 'different') Unexpected type of data : ({'photo_id': 1359776946, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/20/c4e209d8e0cd964e4ed3b223d3135b50.jpg', 'username': None, 'uploaded_at': 1747722562, 'text': 'image_20052025_08_28_47_10246.jpg', 'time': 1747729727.010246}, 'different') Count Time bigger than 30s : 63 #Number Photos for regression : {'20052025': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 0, 2107751015: 290.0014100074768, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 9.999983072280884, 2107751015: 327.9940142631531, 2107751016: 39.99883794784546, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 9.998769998550415, 2107751015: 351.9993007183075, 2107751016: 58.99750638008118, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 0, 2107751015: 159.00080513954163, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 0, 2107751015: 21.001189947128296, 2107751016: 0, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 0, 2107751015: 160.99963879585266, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 8.998382091522217, 2107751015: 202.0047562122345, 2107751016: 90.9986047744751, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 0, 2107751015: 361.00076484680176, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 1100.00155711174, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 690.0026128292084, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 2089.003123998642, 2107751016: 0, 2107751017: 0}}} 20052025|aluminium, 05102018_papier_non_papier_dense:0 20052025|aluminium, 05102018_papier_non_papier_peu_dense:0 20052025|aluminium, 05102018_papier_non_papier_presque_vide:0 20052025|aluminium, 05102018_papier_non_papier_tres_dense:0 20052025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 20052025|ela, 05102018_papier_non_papier_dense:0 20052025|ela, 05102018_papier_non_papier_peu_dense:0 20052025|ela, 05102018_papier_non_papier_presque_vide:290.0014100074768 20052025|ela, 05102018_papier_non_papier_tres_dense:0 20052025|ela, 05102018_papier_non_papier_tres_peu_dense:0 20052025|emr, 05102018_papier_non_papier_dense:0 20052025|emr, 05102018_papier_non_papier_peu_dense:9.999983072280884 20052025|emr, 05102018_papier_non_papier_presque_vide:327.9940142631531 20052025|emr, 05102018_papier_non_papier_tres_dense:39.99883794784546 20052025|emr, 05102018_papier_non_papier_tres_peu_dense:0 20052025|film_pedb, 05102018_papier_non_papier_dense:0 20052025|film_pedb, 05102018_papier_non_papier_peu_dense:9.998769998550415 20052025|film_pedb, 05102018_papier_non_papier_presque_vide:351.9993007183075 20052025|film_pedb, 05102018_papier_non_papier_tres_dense:58.99750638008118 20052025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 20052025|flux_dev, 05102018_papier_non_papier_dense:0 20052025|flux_dev, 05102018_papier_non_papier_peu_dense:0 20052025|flux_dev, 05102018_papier_non_papier_presque_vide:159.00080513954163 20052025|flux_dev, 05102018_papier_non_papier_tres_dense:0 20052025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 20052025|jrm, 05102018_papier_non_papier_dense:0 20052025|jrm, 05102018_papier_non_papier_peu_dense:0 20052025|jrm, 05102018_papier_non_papier_presque_vide:21.001189947128296 20052025|jrm, 05102018_papier_non_papier_tres_dense:0 20052025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 20052025|pcm, 05102018_papier_non_papier_dense:0 20052025|pcm, 05102018_papier_non_papier_peu_dense:0 20052025|pcm, 05102018_papier_non_papier_presque_vide:160.99963879585266 20052025|pcm, 05102018_papier_non_papier_tres_dense:0 20052025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 20052025|pcnc, 05102018_papier_non_papier_dense:0 20052025|pcnc, 05102018_papier_non_papier_peu_dense:8.998382091522217 20052025|pcnc, 05102018_papier_non_papier_presque_vide:202.0047562122345 20052025|pcnc, 05102018_papier_non_papier_tres_dense:90.9986047744751 20052025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 20052025|pehd_pp, 05102018_papier_non_papier_dense:0 20052025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 20052025|pehd_pp, 05102018_papier_non_papier_presque_vide:361.00076484680176 20052025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 20052025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 20052025|pet_clair, 05102018_papier_non_papier_dense:0 20052025|pet_clair, 05102018_papier_non_papier_peu_dense:0 20052025|pet_clair, 05102018_papier_non_papier_presque_vide:1100.00155711174 20052025|pet_clair, 05102018_papier_non_papier_tres_dense:0 20052025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 20052025|refus, 05102018_papier_non_papier_dense:0 20052025|refus, 05102018_papier_non_papier_peu_dense:0 20052025|refus, 05102018_papier_non_papier_presque_vide:690.0026128292084 20052025|refus, 05102018_papier_non_papier_tres_dense:0 20052025|refus, 05102018_papier_non_papier_tres_peu_dense:0 20052025|tapis_vide, 05102018_papier_non_papier_dense:0 20052025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 20052025|tapis_vide, 05102018_papier_non_papier_presque_vide:2089.003123998642 20052025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 20052025|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 ! 20052025_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 0 Number amount portfolio for this type of dechet : ela 29 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_ela_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158400 with name like 20052025_ela_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : emr 35 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_emr_05102018_papier_non_papier_peu_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158401 with name like 20052025_emr_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_emr_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158403 with name like 20052025_emr_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_emr_05102018_papier_non_papier_tres_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158405 with name like 20052025_emr_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : film_pedb 31 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_film_pedb_05102018_papier_non_papier_peu_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158406 with name like 20052025_film_pedb_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_film_pedb_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158408 with name like 20052025_film_pedb_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_film_pedb_05102018_papier_non_papier_tres_dense&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158409 with name like 20052025_film_pedb_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : flux_dev 16 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_flux_dev_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158412 with name like 20052025_flux_dev_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : jrm 2 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_jrm_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158413 with name like 20052025_jrm_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : pcm 12 Number amount portfolio for this type of dechet : pcnc 30 Number amount portfolio for this type of dechet : pehd_pp 24 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_pehd_pp_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158414 with name like 20052025_pehd_pp_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : pet_clair 84 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_pet_clair_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158417 with name like 20052025_pet_clair_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : refus 57 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_refus_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158418 with name like 20052025_refus_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : tapis_vide 66 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=20052025_tapis_vide_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23158420 with name like 20052025_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 ! result_one_balle_Type_pet_clair:{'day': '20052025', 'map_nb_amount': {0: 0, 1: 21, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 229.9993851184845, 2: 0, 3: 0, 4: 0}, 'duration': 230.00074195861816, 'nb_balles_papier': 0.2299993851184845, 'begin_time_port': 'image_20052025_05_38_07_009649m0.jpg 0.009999305009841919 for time 9.999305009841919, id_amount 2 this amount prod time diff : 0.009999305009841919'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2299993851184845 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': '20052025', 'map_nb_amount': {0: 0, 1: 21, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 331.0009009838104, 2: 0, 3: 0, 4: 0}, 'duration': 219.99998998641968, 'nb_balles_papier': 0.33100090098381046, 'begin_time_port': 'image_20052025_05_50_47_010309m0.jpg 0.11999983596801758 for time 119.99983596801758, id_amount 2 this amount prod time diff : 0.11999983596801758'} Production hashtag (incorrect ponderation at 20-10-18) : 0.33100090098381046 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_ela:{'day': '20052025', 'map_nb_amount': {0: 0, 1: 38, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 379.9999542236328, 2: 0, 3: 0, 4: 0}, 'duration': 389.99879217147827, 'nb_balles_papier': 0.3799999542236328, 'begin_time_port': 'image_20052025_06_00_27_010387m0.jpg 0.01000129795074463 for time 10.001297950744629, id_amount 2 this amount prod time diff : 0.01000129795074463'} Production hashtag (incorrect ponderation at 20-10-18) : 0.3799999542236328 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 ! 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': '20052025', 'map_nb_amount': {0: 0, 1: 23, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 290.0000298023224, 2: 0, 3: 0, 4: 0}, 'duration': 240.00125288963318, 'nb_balles_papier': 0.2900000298023224, 'begin_time_port': 'image_20052025_06_12_17_009099m0.jpg 0.04999877691268921 for time 49.99877691268921, id_amount 2 this amount prod time diff : 0.04999877691268921'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2900000298023224 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': '20052025', 'map_nb_amount': {0: 0, 1: 20, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 259.9998481273651, 2: 0, 3: 0, 4: 0}, 'duration': 209.99996995925903, 'nb_balles_papier': 0.2599998481273651, 'begin_time_port': 'image_20052025_06_24_47_010296m0.jpg 0.04999987816810608 for time 49.99987816810608, id_amount 2 this amount prod time diff : 0.04999987816810608'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2599998481273651 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': '20052025', 'map_nb_amount': {0: 0, 1: 25, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 261.9985828399658, 2: 8.998850107192993, 3: 0, 4: 0}, 'duration': 301.0000500679016, 'nb_balles_papier': 0.27199743294715883, 'begin_time_port': 'image_20052025_06_33_47_010428m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.27199743294715883 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': '20052025', 'map_nb_amount': {0: 0, 1: 25, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 261.9985828399658, 2: 8.998850107192993, 3: 0, 4: 0}, 'duration': 301.0000500679016, 'nb_balles_papier': 0.27199743294715883, 'begin_time_port': 'image_20052025_06_33_47_010428m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.27199743294715883 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': '20052025', 'map_nb_amount': {0: 0, 1: 23, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 249.99997401237488, 2: 0, 3: 0, 4: 0}, 'duration': 229.99970507621765, 'nb_balles_papier': 0.24999997401237486, 'begin_time_port': 'image_20052025_06_47_07_010587m0.jpg 0.020000268936157226 for time 20.000268936157227, id_amount 2 this amount prod time diff : 0.020000268936157226'} Production hashtag (incorrect ponderation at 20-10-18) : 0.24999997401237486 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': '20052025', 'map_nb_amount': {0: 1, 1: 22, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 9.998769998550415, 1: 311.00302958488464, 2: 58.99750638008118, 3: 0, 4: 0}, 'duration': 348.9999611377716, 'nb_balles_papier': 0.37999930596351617, 'begin_time_port': 'image_20052025_06_56_48_010321m0.jpg 0.10099955487251282 for time 100.99955487251282, id_amount 2 this amount prod time diff : 0.10099955487251282'} Production hashtag (incorrect ponderation at 20-10-18) : 0.37999930596351617 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 ! 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': '20052025', 'map_nb_amount': {0: 0, 1: 22, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 240.00206303596497, 2: 0, 3: 0, 4: 0}, 'duration': 239.99885201454163, 'nb_balles_papier': 0.24000206303596497, 'begin_time_port': 'image_20052025_07_07_07_010749m0.jpg 0.010001549005508424 for time 10.001549005508423, id_amount 2 this amount prod time diff : 0.010001549005508424'} Production hashtag (incorrect ponderation at 20-10-18) : 0.24000206303596497 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': '20052025', 'map_nb_amount': {0: 0, 1: 23, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 369.99871587753296, 2: 0, 3: 0, 4: 0}, 'duration': 239.99998497962952, 'nb_balles_papier': 0.369998715877533, 'begin_time_port': 'image_20052025_07_19_57_009064m0.jpg 0.12999873089790345 for time 129.99873089790344, id_amount 2 this amount prod time diff : 0.12999873089790345'} Production hashtag (incorrect ponderation at 20-10-18) : 0.369998715877533 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': '20052025', 'map_nb_amount': {0: 1, 1: 14, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 9.999983072280884, 1: 129.0000560283661, 2: 30.999987840652466, 3: 0, 4: 0}, 'duration': 180.00006699562073, 'nb_balles_papier': 0.17100002694129943, 'begin_time_port': 'image_20052025_07_29_07_009287m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.17100002694129943 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': '20052025', 'map_nb_amount': {0: 1, 1: 14, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 9.999983072280884, 1: 129.0000560283661, 2: 30.999987840652466, 3: 0, 4: 0}, 'duration': 180.00006699562073, 'nb_balles_papier': 0.17100002694129943, 'begin_time_port': 'image_20052025_07_29_07_009287m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.17100002694129943 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': '20052025', 'map_nb_amount': {0: 0, 1: 25, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 370.0007948875427, 2: 0, 3: 0, 4: 0}, 'duration': 260.0012128353119, 'nb_balles_papier': 0.37000079488754267, 'begin_time_port': 'image_20052025_07_35_57_009164m0.jpg 0.10999958205223084 for time 109.99958205223083, id_amount 2 this amount prod time diff : 0.10999958205223084'} Production hashtag (incorrect ponderation at 20-10-18) : 0.37000079488754267 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 ! 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': '20052025', 'map_nb_amount': {0: 0, 1: 7, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 69.99991297721863, 2: 0, 3: 0, 4: 0}, 'duration': 59.99993085861206, 'nb_balles_papier': 0.06999991297721864, 'begin_time_port': 'image_20052025_08_02_47_10333.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.06999991297721864 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 have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 15 list_same_port_ids : [23157177] find same portfolio which already exist 23157177 , we will use it list_same_port_ids : [23157178] find same portfolio which already exist 23157178 , we will use it list_same_port_ids : [23157180] find same portfolio which already exist 23157180 , we will use it list_same_port_ids : [23157181] find same portfolio which already exist 23157181 , we will use it list_same_port_ids : [23157183] find same portfolio which already exist 23157183 , we will use it list_same_port_ids : [23157184] find same portfolio which already exist 23157184 , we will use it list_same_port_ids : [23157184] find same portfolio which already exist 23157184 , we will use it list_same_port_ids : [23157185] find same portfolio which already exist 23157185 , we will use it list_same_port_ids : [23157187] find same portfolio which already exist 23157187 , we will use it list_same_port_ids : [23157188] find same portfolio which already exist 23157188 , we will use it list_same_port_ids : [23157190] find same portfolio which already exist 23157190 , we will use it list_same_port_ids : [23157191] find same portfolio which already exist 23157191 , we will use it list_same_port_ids : [23157191] find same portfolio which already exist 23157191 , we will use it list_same_port_ids : [23157192] find same portfolio which already exist 23157192 , we will use it list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=pehd_pp_diff_batch__20052025_08_02_47_010333&access_token=e7e3b500bcaff4304bc4fea92faa736f # 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`=23157177 AND mptpi.`type`=3327 To do Qualite : 0.04128916770992365 # 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`=23157178 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 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 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 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 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 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 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`=23157180 AND mptpi.`type`=4203 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`=23157181 AND mptpi.`type`=3594 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`=23157183 AND mptpi.`type`=3327 To do Qualite : 0.04379054818881355 # 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`=23157184 AND mptpi.`type`=4207 To do Qualite : 0.04379054818881355 # 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`=23157184 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`=23157185 AND mptpi.`type`=3327 To do Qualite : 0.2695214415378672 # 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`=23157187 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 ! 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`=23157188 AND mptpi.`type`=3594 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`=23157190 AND mptpi.`type`=3327 To do Qualite : 0.03712800604316042 # 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`=23157191 AND mptpi.`type`=4207 To do Qualite : 0.03712800604316042 # 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`=23157191 AND mptpi.`type`=4207 To do Qualite : 0.09871742380401231 # 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`=23157192 AND mptpi.`type`=3594 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`=23158422 AND mptpi.`type`=4211 To do elapsed_time : count_nb_balles_and_create_portfolio 27.40730381011963 # DISPLAY ALL COLLECTED DATA : {'20052025': {'nb_upload': 526, 'nb_taggue_class': 427, 'nb_taggue_densite': 427, 'nb_descriptors': 333, 'number_port': 15, 'count_photo_in_port': 323, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 38, 'nb_portfolios': 1}, 'emr': {'nb_photos': 43, 'nb_portfolios': 2}, 'film_pedb': {'nb_photos': 29, 'nb_portfolios': 1}, 'flux_dev': {'nb_photos': 0, 'nb_portfolios': 0}, 'jrm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 28, 'nb_portfolios': 1}, 'pehd_pp': {'nb_photos': 28, 'nb_portfolios': 2}, 'pet_clair': {'nb_photos': 87, 'nb_portfolios': 4}, 'refus': {'nb_photos': 70, 'nb_portfolios': 3}, '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 [1359776946, 1359776937, 1359776932, 1359776929, 1359776925, 1359776919, 1359776882, 1359776879, 1359776876, 1359776873, 1359776870, 1359776865, 1359776768, 1359776756, 1359776752, 1359776746, 1359776732, 1359776678, 1359776585, 1359776582, 1359776580, 1359776578, 1359776575, 1359776572, 1359776416, 1359776359, 1359776349, 1359776339, 1359776335, 1359776331, 1359776298, 1359776295, 1359776292, 1359776289, 1359776249, 1359776243, 1359776149, 1359776109, 1359776077, 1359776074, 1359775664, 1359775533, 1359775519, 1359775509, 1359775498, 1359775492, 1359775343, 1359775333, 1359775330, 1359775327, 1359775324, 1359775322, 1359775318, 1359775286, 1359775266, 1359775252, 1359775249, 1359775246, 1359775221, 1359775048, 1359775044, 1359775041, 1359775037, 1359775035, 1359775032, 1359774866, 1359774861, 1359773961, 1359773956, 1359773952, 1359773947, 1359773943, 1359773917, 1359773903, 1359773897, 1359773892, 1359773889, 1359773875, 1359773854, 1359773851, 1359773848, 1359773818, 1359773807, 1359773803, 1359773798, 1359773795, 1359773761, 1359773756, 1359773746, 1359773742, 1359773707, 1359773704, 1359773698, 1359773695, 1359773690, 1359773665, 1359773658, 1359773635, 1359773566, 1359773481] Looping around the photos to save general results len do output : 1 /23147082Didn'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, '2903646') ('4891', '23147082', '1359776946', None, None, None, None, None, '2903646') ('4891', None, None, None, None, None, None, None, '2903646') ('4891', '23147082', '1359776937', None, None, None, None, None, '2903646') ('4891', None, None, None, None, None, None, None, '2903646') ('4891', '23147082', '1359776932', None, None, None, None, None, '2903646') ('4891', None, None, None, None, None, None, None, '2903646') ('4891', '23147082', '1359776929', None, None, None, None, None, '2903646') ('4891', None, None, None, None, None, None, None, '2903646') ('4891', '23147082', '1359776925', None, None, None, None, None, '2903646') ('4891', None, None, None, None, None, None, None, '2903646') ('4891', '23147082', '1359776919', None, None, None, None, None, '2903646') ('4891', None, None, None, None, None, None, None, '2903646') ('4891', '23147082', '1359776882', None, None, None, None, None, '2903646') ('4891', None, None, None, None, None, None, None, '2903646') ('4891', '23147082', '1359776879', None, None, None, None, None, '2903646') ('4891', None, None, None, None, 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('4891', None, None, None, None, None, None, None, '2903646') ('4891', '23147082', '1359773665', None, None, None, None, None, '2903646') ('4891', None, None, None, None, None, None, None, '2903646') ('4891', '23147082', '1359773658', None, None, None, None, None, '2903646') ('4891', None, None, None, None, None, None, None, '2903646') ('4891', '23147082', '1359773635', None, None, None, None, None, '2903646') ('4891', None, None, None, None, None, None, None, '2903646') ('4891', '23147082', '1359773566', None, None, None, None, None, '2903646') ('4891', None, None, None, None, None, None, None, '2903646') ('4891', '23147082', '1359773481', None, None, None, None, None, '2903646') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.03073740005493164 save_final save missing photos in datou_result : time spend for datou_step_exec : 58.585322856903076 time spend to save output : 0.03469109535217285 total time spend for step 1 : 58.62001395225525 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 3.59user 1.09system 1:03.08elapsed 7%CPU (0avgtext+0avgdata 104460maxresident)k 117160inputs+3160outputs (10090major+71594minor)pagefaults 0swaps