python /home/admin/mtr/script_for_cron.py -j default -m 20 -a 'python3 ~/workarea/git/Velours/python/prod/datou.py -j batch_current -a 4887' -s traitement_sts -M 0 -S 0 -U 100,80,95 import MySQLdb succeeded Import error (python version) ['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/home/admin/workarea/install/darknet', '/home/admin/workarea/git/Velours/python', '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python', '/home/admin/mtr/.credentials', '/home/admin/workarea/install/caffe/python', '/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools', '/home/admin/workarea/git/fotonowerpip', '/home/admin/workarea/install/segment-anything', '/home/admin/workarea/git/pyfvs', '/home/admin/workarea/git/apy', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages'] process id : 4156806 load datou : 4887 # 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 we have a portfolio with more photos than limit : 3825>1000 please execute split_portfolio.py -i 26247210 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4887, datou_cur_ids : ['3610890'] with mtr_portfolio_ids : ['26247210'] and first list_photo_ids : [] new path : /proc/4156806/ 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 : 0.06593084335327148 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Aug 27 11:23:12 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', 330), ('01', 269), ('02', 309), ('03', 334), ('04', 335), ('05', 347), ('06', 347), ('07', 360), ('08', 345), ('09', 360), ('10', 360), ('11', 129)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 3749} 27082025 26247210 Nombre de photos uploadées : 3825 / 23040 (16%) 27082025 26247210 Nombre de photos taguées (types de déchets): 3749 / 3825 (98%) 27082025 26247210 Nombre de photos taguées (volume) : 3749 / 3825 (98%) elapsed_time : load_data_split_time_score 2.1457672119140625e-06 elapsed_time : order_list_meta_photo_and_scores 0.0025577545166015625 ???????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.19153237342834473 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.213334321975708 Creating list_photo_total elapsed_time : select_descriptors 213.22506713867188 27082025 26247210 Nombre de photos avec descriptors (type 6092) : 3775 / 3822 (98%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1379564814 photo_id_prec : 0 0:00:00|ON:0:00:11.001001|OFF:6:53:09.998903|ON:0:00:20.001005|OFF:0:00:20.000028|ON:0:00:48.998974|OFF:0:00:11.001021|ON:0:00:08.998989|OFF:0:00:11.000985|ON:0:01:30.000003|OFF:0:03:30.000001|ON:0:00:08.998983|OFF:0:00:11.001011|ON:0:00:09.998996|OFF:0:00:20.001034|ON:0:00:59.998991|OFF:0:00:08.999976|ON:0:03:40.000073|OFF:0:00:21.000005|ON:0:01:28.999915|OFF:0:00:11.001034|ON:0:00:09.998995|OFF:0:00:08.999976|ON:0:00:30.000011|OFF:0:00:11.001005|ON:0:00:49.999993|OFF:0:00:30.000013|ON:0:00:08.998980|OFF:0:00:21.000018|ON:0:08:10.000022|OFF:0:02:10.000984|ON:0:00:19.999981|OFF:0:01:19.999991|ON:0:15:09.999031|OFF:0:00:09.000010|ON:0:03:31.001054|OFF:0:00:18.999029|ON:0:00:29.999968|OFF:0:00:21.000998|ON:0:01:10.000066|OFF:0:00:18.998982|ON:0:00:51.000010|OFF:0:00:09.999975|ON:0:00:20.000967|OFF:0:00:19.999057|ON:0:06:30.000870|OFF:0:00:09.998979|ON:0:01:49.999988|OFF:0:00:10.001014|ON:0:27:39.999001|OFF:0:00:09.000007|ON:0:28:11.000093|OFF:0:00:30.000057|ON:0:00:18.999932|OFF:0:04:41.000048|ON:0:01:20.000872|OFF:0:01:20.000040|ON:0:00:09.998995|OFF:0:01:10.001025|ON:0:00:09.998934|OFF:0:01:29.000004|ON:0:00:21.000047|OFF:0:00:10.000967|ON:0:00:09.998991|OFF:0:00:50.000999|ON:0:00:08.998994|OFF:0:00:11.001012|ON:0:00:09.998988|OFF:0:00:50.001037|ON:0:00:08.998965|OFF:0:00:11.001027|ON:0:00:39.998980|OFF:0:00:20.001034|ON:0:00:59.998979|OFF:0:02:30.000996|ON:0:00:09.998977|OFF:0:00:20.001035|ON:0:00:08.998993|OFF:0:00:11.000995|ON:0:00:39.999015|OFF:0:00:28.999971|ON:0:06:41.000220|OFF:0:00:19.999973|ON:0:00:38.999856|OFF:0:00:11.000955|ON:0:00:09.998995|OFF:0:00:10.001007|ON:0:00:18.999017|OFF:0:00:11.001017|ON:0:00:09.998985|OFF:0:00:08.999972|ON:0:04:31.000022|OFF:0:01:58.999989|ON:0:00:20.999992|OFF:0:01:40.001032|ON:0:00:08.998991|OFF:0:00:11.000986|ON:0:00:09.998994|OFF:0:02:30.001009|ON:0:00:09.998996|OFF:0:00:50.001035|ON:0:00:08.998959|OFF:0:01:49.999995|ON:0:02:30.999998|OFF:0:00:10.001006|ON:0:00:09.998989|OFF:0:00:50.001010|ON:0:00:08.998992|OFF:0:00:41.001004|ON:0:00:09.998987|OFF:0:00:40.001035|ON:0:00:18.998971|OFF:0:00:11.001011|ON:0:02:09.999190|OFF:0:00:40.000014|ON:0:00:20.000913|OFF:0:00:28.998990|ON:0:00:20.999998|OFF:0:00:29.999978|ON:0:00:50.000947|OFF:0:00:09.998964|ON:0:00:58.999997|OFF:0:01:11.001017|ON:0:00:08.998999|OFF:0:00:11.000999|ON:0:01:49.999995|OFF:0:00:50.000010|ON:0:00:09.998975|OFF:0:00:50.001028|ON:0:00:08.998986|OFF:0:00:11.001009|ON:0:00:09.999004|OFF:0:00:38.999988|ON:0:00:11.001009|OFF:0:00:38.999007|ON:0:04:11.001095|OFF:0:00:09.998961|ON:0:02:20.000964|OFF:0:00:49.999972|ON:0:00:08.999001|OFF:0:00:41.001008|ON:0:00:09.999001|OFF:0:01:40.000983|ON:0:01:29.999044|OFF:0:00:20.000975|ON:0:00:08.998973|OFF:0:00:11.001010|ON:0:00:09.999010|OFF:0:00:38.999979|ON:0:02:51.000138|OFF:0:00:09.000025|ON:0:01:50.999899|OFF:0:00:10.000054|ON:0:00:08.999947|OFF:0:00:11.001022|ON:0:00:29.999928|OFF:0:00:19.999990|ON:0:00:09.999007|OFF:0:00:20.000998|ON:0:00:08.998985|OFF:0:00:11.001019|ON:0:00:59.999990|OFF:0:00:30.000039|ON:0:00:09.998979|OFF:0:00:40.001001|ON:0:00:09.998997|OFF:0:01:18.999973|ON:0:00:30.000014|OFF:0:00:31.000997|ON:0:00:48.999059|OFF:0:01:01.000954|ON:0:00:18.999011|OFF:0:00:11.000993|ON:0:00:18.999015|OFF:0:01:01.001002|ON:0:01:39.998969|OFF:0:00:20.001050|ON:0:00:08.998944|OFF:0:00:30.000013|ON:0:00:11.001055|OFF:0:01:49.999949|ON:0:00:08.999014|OFF:0:01:11.000996|ON:0:00:08.998979|OFF:0:00:11.001014|ON:0:00:09.998995|OFF:0:00:20.001049|ON:0:00:09.998965|OFF:0:00:59.000006|ON:0:00:29.999970|OFF:0:01:11.000017|ON:0:00:20.001000|OFF:0:00:20.000005|ON:0:00:09.998968|OFF:0:00:50.001024|ON:0:00:08.998992|OFF:0:01:20.000006|ON:0:00:11.001037|OFF:0:00:59.998963|ON:0:02:29.999979|OFF:0:00:09.000003|ON:0:11:51.000024|OFF:0:00:20.001025|ON:0:04:39.999951|OFF:0:00:20.000023|ON:0:00:09.999025|OFF:0:00:08.999952|ON:0:02:01.001005|OFF:0:00:50.000022|ON:0:00:09.998979|OFF:0:00:10.001002|ON:0:00:09.999022|OFF:0:00:20.001000|ON:0:00:09.998978|OFF:0:00:20.001002|ON:0:00:08.998994|OFF:0:00:41.001011|ON:0:00:09.998986|OFF:0:00:29.000014|ON:0:00:20.999988|OFF:0:01:40.001015|ON:0:00:08.998996|OFF:0:00:20.999982|ON:0:02:19.000205|OFF:0:02:01.000994|ON:0:00:58.998959|OFF:0:00:31.000019|ON:0:01:38.999939|OFF:0:00:21.000004|ON: WARNING condition_same_param while we were looking loading descriptors Missing descriptors for photos 1379649603 and 1379649600 Missing descriptors for photos 1379649600 and 1379649597 Missing descriptors for photos 1379649597 and 1379649592 Missing descriptors for photos 1379649592 and 1379649590 Missing descriptors for photos 1379649590 and 1379649587 Missing descriptors for photos 1379649587 and 1379649623 Missing descriptors for photos 1379649623 and 1379649620 Missing descriptors for photos 1379649620 and 1379649618 Missing descriptors for photos 1379649618 and 1379649617 Missing descriptors for photos 1379649617 and 1379649614 Missing descriptors for photos 1379649614 and 1379649612 Missing descriptors for photos 1379649612 and 1379649658 Missing descriptors for photos 1379649658 and 1379649655 Missing descriptors for photos 1379649655 and 1379649652 Missing descriptors for photos 1379649652 and 1379649647 Missing descriptors for photos 1379649647 and 1379649645 Missing descriptors for photos 1379649645 and 1379649644 Missing descriptors for photos 1379649644 and 1379649720 Missing descriptors for photos 1379649720 and 1379649715 Missing descriptors for photos 1379649715 and 1379649713 Missing descriptors for photos 1379649713 and 1379649710 Missing descriptors for photos 1379649710 and 1379649696 Missing descriptors for photos 1379649696 and 1379649971 Missing descriptors for photos 1379649971 and 1379649943 Missing descriptors for photos 1379649943 and 1379649919 Missing descriptors for photos 1379649919 and 1379649871 Missing descriptors for photos 1379649871 and 1379649841 Missing descriptors for photos 1379649841 and 1379649794 Missing descriptors for photos 1379649794 and 1379650278 Missing descriptors for photos 1379650278 and 1379650251 Missing descriptors for photos 1379650251 and 1379650246 Missing descriptors for photos 1379650246 and 1379650233 Missing descriptors for photos 1379650233 and 1379650224 Missing descriptors for photos 1379650224 and 1379650219 Missing descriptors for photos 1379650219 and 1379650531 Missing descriptors for photos 1379650531 and 1379650523 Missing descriptors for photos 1379650523 and 1379650515 Missing descriptors for photos 1379650515 and 1379650500 Missing descriptors for photos 1379650500 and 1379650469 Missing descriptors for photos 1379650469 and 1379650447 Missing descriptors for photos 1379650447 and 1379650580 Missing descriptors for photos 1379650580 and 1379650578 Missing descriptors for photos 1379650578 and 1379650575 Missing descriptors for photos 1379650575 and 1379650567 Missing descriptors for photos 1379650567 and 1379650563 Missing descriptors for photos 1379650563 and 1379650561 27082025 Removing 2670 photos because of the 'same image' condition Total on : 11044.950574000004 list_time_on Total off : 29356.049438000005 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 3825 time used for this insertion : 0.6426608562469482 photos_removed : len 2670 elapsed_time : remove_photo_duplicate 1.124218463897705 Creating list_photo_total 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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 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moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this 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moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this 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result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of 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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 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moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this 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result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we 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interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger 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moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this 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result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the 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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 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moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this 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result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of 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limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving 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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time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving 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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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 : 32 hashtag : 538914404 photo_id =1379608528 : refus ...Change port : 3 hashtag : 1284539308 photo_id =1379608856 : pcnc ...Change port : 3 hashtag : 538914404 photo_id =1379608848 : refus .......Change port : 7 hashtag : 1284539308 photo_id =1379608985 : 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 ..Change port : 23 hashtag : 538914404 photo_id =1379609207 : refus .Change port : 1 hashtag : 1284539308 photo_id =1379609205 : pcnc ....Change port : 4 hashtag : 538914404 photo_id =1379609492 : refus .Change port : 1 hashtag : 1284539308 photo_id =1379609463 : pcnc .......................Change port : 23 hashtag : 538914404 photo_id =1379610459 : refus .Change port : 1 hashtag : 1284539308 photo_id =1379610456 : 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 .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 : 36 hashtag : 538914404 photo_id =1379611460 : refus ........Change port : 8 hashtag : 1284539308 photo_id =1379611763 : pcnc ...................................................................can't 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...................Change port : 19 hashtag : 2107760237 photo_id =1379631665 : film_pedb .Change port : 1 hashtag : 538914404 photo_id =1379631663 : refus ..Change port : 2 hashtag : 2107760237 photo_id =1379631655 : film_pedb .Change port : 1 hashtag : 538914404 photo_id =1379631653 : refus ....Change port : 4 hashtag : 2107760237 photo_id =1379631682 : film_pedb .Change port : 1 hashtag : 538914404 photo_id =1379631677 : refus ..........Change port : 10 hashtag : 1284539308 photo_id =1379631738 : 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 ....Change port : 12 hashtag : 538914404 photo_id =1379631848 : refus .............Change port : 13 hashtag : 1284539308 photo_id =1379632006 : pcnc ....Change port : 4 hashtag : 538914404 photo_id =1379632133 : refus .Change port : 1 hashtag : 1284539308 photo_id =1379632129 : pcnc ......can't find max_score_info 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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 : 12 hashtag : 538914404 photo_id =1379633483 : refus .can't find max_score_info ............Change port : 12 hashtag : 1284539308 photo_id =1379633753 : 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 .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 : 22 hashtag : 495916461 photo_id =1379634099 : jrm ..can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 2 hashtag : 1284539308 photo_id =1379634221 : 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 .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info 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.can't find max_score_info ..can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ....Change port : 21 hashtag : 2107760237 photo_id =1379638113 : film_pedb ....Change port : 4 hashtag : 1284539308 photo_id =1379638720 : pcnc .....Change port : 5 hashtag : 2107760237 photo_id =1379638423 : film_pedb .Change port : 1 hashtag : 1284539308 photo_id =1379639337 : pcnc .Change port : 1 hashtag : 2107760237 photo_id =1379639311 : film_pedb .can't find max_score_info ..can't find max_score_info ...........Change port : 12 hashtag : 1284539308 photo_id =1379640122 : 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 .Change port : 6 hashtag : 2107760237 photo_id =1379640932 : film_pedb .can't find max_score_info ..Change port : 2 hashtag : 1284539308 photo_id =1379641168 : pcnc .Change port : 1 hashtag : 2107760237 photo_id =1379641129 : film_pedb .Change port : 1 hashtag : 1284539308 photo_id =1379641103 : pcnc ..Change port : 2 hashtag : 2107760237 photo_id =1379641046 : film_pedb .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 1284539308 photo_id =1379641377 : 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 ....can't find max_score_info .can't find max_score_info .can't find max_score_info ......can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ...can't find max_score_info ...can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ...........can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info ..can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ....can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ...can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ......Change port : 43 hashtag : 538914404 photo_id =1379643157 : refus .Change port : 1 hashtag : 1284539308 photo_id =1379643154 : pcnc .........can't find max_score_info ...........................Change port : 35 hashtag : 538914404 photo_id =1379643329 : refus .Change port : 1 hashtag : 1284539308 photo_id =1379643328 : pcnc ......Change port : 6 hashtag : 538914404 photo_id =1379643341 : refus .Change port : 1 hashtag : 1284539308 photo_id =1379643339 : pcnc ....Change port : 4 hashtag : 538914404 photo_id =1379643373 : refus .....Change port : 5 hashtag : 1284539308 photo_id =1379643399 : pcnc .Change port : 1 hashtag : 538914404 photo_id =1379643395 : refus ...Change port : 3 hashtag : 1284539308 photo_id =1379643387 : 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 .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 : 77 hashtag : 538914404 photo_id =1379647273 : 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 Total photos : 3825 Number of lists : 54 counter photos in port : 1086 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 0 photos in 0 portfolios ! hashtag : film_pedb(2107760237) : 24 photos in 9 portfolios ! hashtag : flux_dev(2107760238) : 0 photos in 0 portfolios ! hashtag : jrm(495916461) : 2 photos in 1 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 924 photos in 24 portfolios ! hashtag : pehd_pp(2107760239) : 0 photos in 0 portfolios ! hashtag : pet_clair(2107755846) : 0 photos in 0 portfolios ! hashtag : refus(538914404) : 136 photos in 20 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 0 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.13702869415283203 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 3.5762786865234375e-06 today str has not a value , we define it as the date of the first image todaystr_first : 27082025 attention , prev_timestamp is 0 , we do nothing ******************************Unexpected type of data : ({'photo_id': 1379648264, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/1adb5672f10b0c1b0937fa9162a495de.jpg', 'username': None, 'uploaded_at': 1756285818, 'text': 'image_27082025_11_08_54_9796.jpg', 'time': 1756292934.009796}, 'duplicate') Unexpected type of data : ({'photo_id': 1379648261, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/19674a97318527ae1fbdba95215be242.jpg', 'username': None, 'uploaded_at': 1756285818, 'text': 'image_27082025_11_09_05_10831.jpg', 'time': 1756292945.010831}, 'duplicate') Unexpected type of data : ({'photo_id': 1379648255, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/3e5ac0d2403193708d03424421c17314.jpg', 'username': None, 'uploaded_at': 1756285818, 'text': 'image_27082025_11_09_25_9793.jpg', 'time': 1756292965.009793}, 'duplicate') Unexpected type of data : ({'photo_id': 1379648254, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/c83d1b27993fed79d7fd904bc9ea713c.jpg', 'username': None, 'uploaded_at': 1756285818, 'text': 'image_27082025_11_09_34_9809.jpg', 'time': 1756292974.009809}, 'duplicate') Unexpected type of data : ({'photo_id': 1379648251, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/d541a77453fd92343cd796fad01566c5.jpg', 'username': None, 'uploaded_at': 1756285818, 'text': 'image_27082025_11_09_44_9797.jpg', 'time': 1756292984.009797}, 'duplicate') Unexpected type of data : ({'photo_id': 1379648580, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/66404165c77a3e82adcf2727a12e7264.jpg', 'username': None, 'uploaded_at': 1756285878, 'text': 'image_27082025_11_09_55_10799.jpg', 'time': 1756292995.010799}, 'different') Unexpected type of data : ({'photo_id': 1379648577, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/e18f17c747be73027321b3a8ebaf03f6.jpg', 'username': None, 'uploaded_at': 1756285878, 'text': 'image_27082025_11_10_05_9655.jpg', 'time': 1756293005.009655}, 'different') Unexpected type of data : ({'photo_id': 1379648554, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/bf4357a64d98d93d16e91c93ba25a556.jpg', 'username': None, 'uploaded_at': 1756285878, 'text': 'image_27082025_11_10_14_9684.jpg', 'time': 1756293014.009684}, 'different') Unexpected type of data : ({'photo_id': 1379648545, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/339c6e8572c0ef0fe59afd8867e0ab08.jpg', 'username': None, 'uploaded_at': 1756285878, 'text': 'image_27082025_11_10_25_10760.jpg', 'time': 1756293025.01076}, 'different') Unexpected type of data : ({'photo_id': 1379648535, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/de777b164e45dfcd69774c921333f16f.jpg', 'username': None, 'uploaded_at': 1756285878, 'text': 'image_27082025_11_10_35_9757.jpg', 'time': 1756293035.009757}, 'different') Unexpected type of data : ({'photo_id': 1379648514, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/36a3e6456e17b70f8daa144dcd15e343.jpg', 'username': None, 'uploaded_at': 1756285878, 'text': 'image_27082025_11_10_45_9717.jpg', 'time': 1756293045.009717}, 'different') Unexpected type of data : ({'photo_id': 1379648932, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/a61dd48c2662ef949258f1c34d51014f.jpg', 'username': None, 'uploaded_at': 1756285938, 'text': 'image_27082025_11_10_54_9758.jpg', 'time': 1756293054.009758}, 'duplicate') Unexpected type of data : ({'photo_id': 1379648894, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/6ce79139f663ad262502c165bbe59d74.jpg', 'username': None, 'uploaded_at': 1756285938, 'text': 'image_27082025_11_11_05_10777.jpg', 'time': 1756293065.010777}, 'duplicate') Unexpected type of data : ({'photo_id': 1379648866, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/5573f67ad0f50748cfeedc8e1a63c082.jpg', 'username': None, 'uploaded_at': 1756285938, 'text': 'image_27082025_11_11_15_9734.jpg', 'time': 1756293075.009734}, 'duplicate') Unexpected type of data : ({'photo_id': 1379648837, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/3bd6f723ee623d3c90e0353e84adbb97.jpg', 'username': None, 'uploaded_at': 1756285938, 'text': 'image_27082025_11_11_25_9777.jpg', 'time': 1756293085.009777}, 'different') Unexpected type of data : ({'photo_id': 1379648813, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/697b40083f556ab392ffacbdf34bc887.jpg', 'username': None, 'uploaded_at': 1756285938, 'text': 'image_27082025_11_11_34_9669.jpg', 'time': 1756293094.009669}, 'different') Unexpected type of data : ({'photo_id': 1379648784, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/904076e01f65f3fe75f2b7440604a3e5.jpg', 'username': None, 'uploaded_at': 1756285938, 'text': 'image_27082025_11_11_45_10726.jpg', 'time': 1756293105.010726}, 'different') Unexpected type of data : ({'photo_id': 1379649265, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/722d882f6999e03af0d6c66ab4a0635b.jpg', 'username': None, 'uploaded_at': 1756285998, 'text': 'image_27082025_11_11_55_9720.jpg', 'time': 1756293115.00972}, 'different') Unexpected type of data : ({'photo_id': 1379649240, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/5196af34537a89017ddf274db7998c64.jpg', 'username': None, 'uploaded_at': 1756285998, 'text': 'image_27082025_11_12_04_9670.jpg', 'time': 1756293124.00967}, 'different') Unexpected type of data : ({'photo_id': 1379649223, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/2762ed70bbc49f7d3e369df72e9f173a.jpg', 'username': None, 'uploaded_at': 1756285998, 'text': 'image_27082025_11_12_15_10690.jpg', 'time': 1756293135.01069}, 'different') Unexpected type of data : ({'photo_id': 1379649210, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/b864f6b240f7411a6813a6b8d0aa5871.jpg', 'username': None, 'uploaded_at': 1756285998, 'text': 'image_27082025_11_12_25_9617.jpg', 'time': 1756293145.009617}, 'different') Unexpected type of data : ({'photo_id': 1379649182, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/df24a401ebab3ae96e13c3f1e0c1fb3e.jpg', 'username': None, 'uploaded_at': 1756285998, 'text': 'image_27082025_11_12_34_9673.jpg', 'time': 1756293154.009673}, 'different') Unexpected type of data : ({'photo_id': 1379649171, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/7d55c28e5df179ded884949695909a57.jpg', 'username': None, 'uploaded_at': 1756285998, 'text': 'image_27082025_11_12_45_10615.jpg', 'time': 1756293165.010615}, 'different') Unexpected type of data : ({'photo_id': 1379649527, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/6d678b9793dd1bba2ff874b9e3aed199.jpg', 'username': None, 'uploaded_at': 1756286058, 'text': 'image_27082025_11_12_55_9681.jpg', 'time': 1756293175.009681}, 'different') Unexpected type of data : ({'photo_id': 1379649515, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/63f9aa81ad4ea9d5cdd380f284c1b2af.jpg', 'username': None, 'uploaded_at': 1756286058, 'text': 'image_27082025_11_13_04_9716.jpg', 'time': 1756293184.009716}, 'duplicate') Unexpected type of data : ({'photo_id': 1379649501, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/815291af8db8a931b765a327e54a8475.jpg', 'username': None, 'uploaded_at': 1756286058, 'text': 'image_27082025_11_13_15_10751.jpg', 'time': 1756293195.010751}, 'duplicate') Unexpected type of data : ({'photo_id': 1379649496, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/e6ade51f56f9db7efbac22a0cf46d538.jpg', 'username': None, 'uploaded_at': 1756286058, 'text': 'image_27082025_11_13_25_9720.jpg', 'time': 1756293205.00972}, 'different') Unexpected type of data : ({'photo_id': 1379649468, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/143bc39aef4a199b1f1e839b668aad1e.jpg', 'username': None, 'uploaded_at': 1756286058, 'text': 'image_27082025_11_13_34_9628.jpg', 'time': 1756293214.009628}, 'different') Unexpected type of data : ({'photo_id': 1379649444, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/2ae6a9c297674f6d418c90e8dabd75fc.jpg', 'username': None, 'uploaded_at': 1756286058, 'text': 'image_27082025_11_13_44_9662.jpg', 'time': 1756293224.009662}, 'different') Unexpected type of data : ({'photo_id': 1379649603, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/4b9a7bb8bed45010e5cffafa8f9bd776.jpg', 'username': None, 'uploaded_at': 1756286119, 'text': 'image_27082025_11_13_55_10649.jpg', 'time': 1756293235.010649}, 'different') Unexpected type of data : ({'photo_id': 1379649600, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/f64e4758eb349fdd505c0a442ae97232.jpg', 'username': None, 'uploaded_at': 1756286119, 'text': 'image_27082025_11_14_04_9678.jpg', 'time': 1756293244.009678}, 'different') Unexpected type of data : ({'photo_id': 1379649597, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/56afae0594f1d70cf4bf074a65d88535.jpg', 'username': None, 'uploaded_at': 1756286119, 'text': 'image_27082025_11_14_15_10649.jpg', 'time': 1756293255.010649}, 'different') Unexpected type of data : ({'photo_id': 1379649592, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/5986cbf5d22c83fd932ff828d608aaed.jpg', 'username': None, 'uploaded_at': 1756286119, 'text': 'image_27082025_11_14_25_9649.jpg', 'time': 1756293265.009649}, 'different') Unexpected type of data : ({'photo_id': 1379649590, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/457e2e106cfee0d770de2f467d52bd37.jpg', 'username': None, 'uploaded_at': 1756286119, 'text': 'image_27082025_11_14_35_9720.jpg', 'time': 1756293275.00972}, 'different') Unexpected type of data : ({'photo_id': 1379649587, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/df18fb17be432fd68acb9a6c93416003.jpg', 'username': None, 'uploaded_at': 1756286119, 'text': 'image_27082025_11_14_44_9733.jpg', 'time': 1756293284.009733}, 'different') Unexpected type of data : ({'photo_id': 1379649623, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/3bdfdd1f141322c7f3bca4f90ccbd872.jpg', 'username': None, 'uploaded_at': 1756286179, 'text': 'image_27082025_11_14_55_10618.jpg', 'time': 1756293295.010618}, 'different') Unexpected type of data : ({'photo_id': 1379649620, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/01153a21809c33a5e02aad6c1d4c96e8.jpg', 'username': None, 'uploaded_at': 1756286179, 'text': 'image_27082025_11_15_05_9653.jpg', 'time': 1756293305.009653}, 'different') Unexpected type of data : ({'photo_id': 1379649618, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/68f2593ef75a9470328874ec7152000f.jpg', 'username': None, 'uploaded_at': 1756286179, 'text': 'image_27082025_11_15_14_9705.jpg', 'time': 1756293314.009705}, 'different') Unexpected type of data : ({'photo_id': 1379649617, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/00bf21e83ef3ee70fbcedb9c6eb58491.jpg', 'username': None, 'uploaded_at': 1756286179, 'text': 'image_27082025_11_15_25_10642.jpg', 'time': 1756293325.010642}, 'different') Unexpected type of data : ({'photo_id': 1379649614, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/8373be27a25729773e2db0bb7d5ee01b.jpg', 'username': None, 'uploaded_at': 1756286179, 'text': 'image_27082025_11_15_35_9682.jpg', 'time': 1756293335.009682}, 'different') Unexpected type of data : ({'photo_id': 1379649612, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/6936fb19791c96695dacc4a6a2b6b562.jpg', 'username': None, 'uploaded_at': 1756286179, 'text': 'image_27082025_11_15_44_9626.jpg', 'time': 1756293344.009626}, 'different') Unexpected type of data : ({'photo_id': 1379649658, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/40579520933bd213fe691662356c5702.jpg', 'username': None, 'uploaded_at': 1756286238, 'text': 'image_27082025_11_15_55_10615.jpg', 'time': 1756293355.010615}, 'different') Unexpected type of data : ({'photo_id': 1379649655, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/1bc5647ca4b2147672a9b64641d8cd27.jpg', 'username': None, 'uploaded_at': 1756286238, 'text': 'image_27082025_11_16_04_9626.jpg', 'time': 1756293364.009626}, 'different') Unexpected type of data : ({'photo_id': 1379649652, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/97767eecfd7f7b3ef52a1d042cd86e30.jpg', 'username': None, 'uploaded_at': 1756286238, 'text': 'image_27082025_11_16_15_10646.jpg', 'time': 1756293375.010646}, 'different') Unexpected type of data : ({'photo_id': 1379649647, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/fab99d7b0c907930b48cdf4c2a5457f2.jpg', 'username': None, 'uploaded_at': 1756286238, 'text': 'image_27082025_11_16_25_9624.jpg', 'time': 1756293385.009624}, 'different') Unexpected type of data : ({'photo_id': 1379649645, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/f2209fffb8338517228e757eee20e6f8.jpg', 'username': None, 'uploaded_at': 1756286238, 'text': 'image_27082025_11_16_34_9612.jpg', 'time': 1756293394.009612}, 'different') Unexpected type of data : ({'photo_id': 1379649644, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/ca5a7acbe518c00e1a3b021543dfa17f.jpg', 'username': None, 'uploaded_at': 1756286238, 'text': 'image_27082025_11_16_45_10630.jpg', 'time': 1756293405.01063}, 'different') Unexpected type of data : ({'photo_id': 1379649720, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/1f45b306c9376379934ff87c0f797ed4.jpg', 'username': None, 'uploaded_at': 1756286313, 'text': 'image_27082025_11_16_55_9621.jpg', 'time': 1756293415.009621}, 'different') Unexpected type of data : ({'photo_id': 1379649715, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/43d250b76205b575358ba75bfb3f67c0.jpg', 'username': None, 'uploaded_at': 1756286313, 'text': 'image_27082025_11_17_15_10665.jpg', 'time': 1756293435.010665}, 'different') Unexpected type of data : ({'photo_id': 1379649713, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/a6ba0b918aa3ce2810f2f66bc3093075.jpg', 'username': None, 'uploaded_at': 1756286313, 'text': 'image_27082025_11_17_24_9625.jpg', 'time': 1756293444.009625}, 'different') Unexpected type of data : ({'photo_id': 1379649710, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/7534efc4e738bf0af396838c7e0e2921.jpg', 'username': None, 'uploaded_at': 1756286313, 'text': 'image_27082025_11_17_35_10634.jpg', 'time': 1756293455.010634}, 'different') Unexpected type of data : ({'photo_id': 1379649696, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/ee6fec8952dedb8eaec7d20f3647f833.jpg', 'username': None, 'uploaded_at': 1756286283, 'text': 'image_27082025_11_17_45_9616.jpg', 'time': 1756293465.009616}, 'different') Unexpected type of data : ({'photo_id': 1379649971, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/6ecb9fe72afcf1d46ede08699ff0b84b.jpg', 'username': None, 'uploaded_at': 1756286358, 'text': 'image_27082025_11_17_54_9625.jpg', 'time': 1756293474.009625}, 'different') Unexpected type of data : ({'photo_id': 1379649943, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/dbc52a5a72c173d49d9f1437589bfc72.jpg', 'username': None, 'uploaded_at': 1756286358, 'text': 'image_27082025_11_18_05_10636.jpg', 'time': 1756293485.010636}, 'different') Unexpected type of data : ({'photo_id': 1379649919, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/fa8c60e9c87065bd6010b07f7d47a02c.jpg', 'username': None, 'uploaded_at': 1756286358, 'text': 'image_27082025_11_18_15_9630.jpg', 'time': 1756293495.00963}, 'different') Unexpected type of data : ({'photo_id': 1379649871, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/9dcf47d96067d0c359dad5227edb50c4.jpg', 'username': None, 'uploaded_at': 1756286358, 'text': 'image_27082025_11_18_24_9618.jpg', 'time': 1756293504.009618}, 'different') Unexpected type of data : ({'photo_id': 1379649841, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/958134ae16262287569822f868761a93.jpg', 'username': None, 'uploaded_at': 1756286358, 'text': 'image_27082025_11_18_35_10629.jpg', 'time': 1756293515.010629}, 'different') Unexpected type of data : ({'photo_id': 1379649794, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/cc925184903d8b47ddc3899f9a6bb22b.jpg', 'username': None, 'uploaded_at': 1756286358, 'text': 'image_27082025_11_18_45_9617.jpg', 'time': 1756293525.009617}, 'different') Unexpected type of data : ({'photo_id': 1379650278, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/a052ffcf6cb3eec31049e48ef98f2042.jpg', 'username': None, 'uploaded_at': 1756286418, 'text': 'image_27082025_11_18_55_10622.jpg', 'time': 1756293535.010622}, 'different') Unexpected type of data : ({'photo_id': 1379650251, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/720538222b33bad3723712c32b0b5104.jpg', 'username': None, 'uploaded_at': 1756286418, 'text': 'image_27082025_11_19_05_9636.jpg', 'time': 1756293545.009636}, 'different') Unexpected type of data : ({'photo_id': 1379650246, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/3713147e8dd49e164eb5e5fef0ef4009.jpg', 'username': None, 'uploaded_at': 1756286418, 'text': 'image_27082025_11_19_14_9637.jpg', 'time': 1756293554.009637}, 'different') Unexpected type of data : ({'photo_id': 1379650233, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/90a89cc522b727042b7a24f2b8bc2464.jpg', 'username': None, 'uploaded_at': 1756286418, 'text': 'image_27082025_11_19_25_10655.jpg', 'time': 1756293565.010655}, 'different') Unexpected type of data : ({'photo_id': 1379650224, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/c35e9e88a689ff830b451aae86428b24.jpg', 'username': None, 'uploaded_at': 1756286418, 'text': 'image_27082025_11_19_35_9619.jpg', 'time': 1756293575.009619}, 'different') Unexpected type of data : ({'photo_id': 1379650219, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/abe75b9b25d7fe71dcdea733b23f79b9.jpg', 'username': None, 'uploaded_at': 1756286418, 'text': 'image_27082025_11_19_44_9612.jpg', 'time': 1756293584.009612}, 'different') Unexpected type of data : ({'photo_id': 1379650531, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/837afa99489185d5c1545a82aa03df03.jpg', 'username': None, 'uploaded_at': 1756286478, 'text': 'image_27082025_11_19_55_10638.jpg', 'time': 1756293595.010638}, 'different') Unexpected type of data : ({'photo_id': 1379650523, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/8dc6f9a2053621b38bc61c45fb4e9022.jpg', 'username': None, 'uploaded_at': 1756286478, 'text': 'image_27082025_11_20_05_9639.jpg', 'time': 1756293605.009639}, 'different') Unexpected type of data : ({'photo_id': 1379650515, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/2a7aedc5c9ef6a6ca0884cade7155c20.jpg', 'username': None, 'uploaded_at': 1756286478, 'text': 'image_27082025_11_20_14_9656.jpg', 'time': 1756293614.009656}, 'different') Unexpected type of data : ({'photo_id': 1379650500, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/49c3e1b0ee29f745ecbee415e892a750.jpg', 'username': None, 'uploaded_at': 1756286478, 'text': 'image_27082025_11_20_25_10628.jpg', 'time': 1756293625.010628}, 'different') Unexpected type of data : ({'photo_id': 1379650469, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/187864791ba5ecd2628c8e48d064f18e.jpg', 'username': None, 'uploaded_at': 1756286478, 'text': 'image_27082025_11_20_34_9628.jpg', 'time': 1756293634.009628}, 'different') Unexpected type of data : ({'photo_id': 1379650447, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/4ad52d8efe687a338d6a60f76949ecf5.jpg', 'username': None, 'uploaded_at': 1756286478, 'text': 'image_27082025_11_20_45_10632.jpg', 'time': 1756293645.010632}, 'different') Unexpected type of data : ({'photo_id': 1379650580, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/69f1c0edd543c78de686ffbf1f564c40.jpg', 'username': None, 'uploaded_at': 1756286538, 'text': 'image_27082025_11_20_55_9638.jpg', 'time': 1756293655.009638}, 'different') Unexpected type of data : ({'photo_id': 1379650578, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/256529d14bc722bb7176a2fe0d48ed6e.jpg', 'username': None, 'uploaded_at': 1756286538, 'text': 'image_27082025_11_21_04_9636.jpg', 'time': 1756293664.009636}, 'different') Unexpected type of data : ({'photo_id': 1379650575, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/266e50b97533860f74c4f51500c6bc87.jpg', 'username': None, 'uploaded_at': 1756286538, 'text': 'image_27082025_11_21_15_10647.jpg', 'time': 1756293675.010647}, 'different') Unexpected type of data : ({'photo_id': 1379650567, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/1ad1d8c71543c537760207b67ef66637.jpg', 'username': None, 'uploaded_at': 1756286538, 'text': 'image_27082025_11_21_25_9627.jpg', 'time': 1756293685.009627}, 'different') Unexpected type of data : ({'photo_id': 1379650563, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/0e9547160542e3f5c451c02549089074.jpg', 'username': None, 'uploaded_at': 1756286538, 'text': 'image_27082025_11_21_34_9619.jpg', 'time': 1756293694.009619}, 'different') Unexpected type of data : ({'photo_id': 1379650561, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/27/d79abb3a3a6987b3037eef048137cddc.jpg', 'username': None, 'uploaded_at': 1756286538, 'text': 'image_27082025_11_21_45_10626.jpg', 'time': 1756293705.010626}, 'different') Count Time bigger than 30s : 30 #Number Photos for regression : {'27082025': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 0, 2107751015: 10.00009298324585, 2107751016: 0, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 0, 2107751015: 667.0002596378326, 2107751016: 0, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 0, 2107751015: 54.99859952926636, 2107751016: 11.001109838485718, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 32.00122809410095, 2107751015: 8262.048298120499, 2107751016: 0, 2107751017: 78.9987862110138}, 2107760239: {2107751013: 0, 2107751014: 0, 2107751015: 11.001017093658447, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 183.00417804718018, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 1572.001734495163, 2107751016: 0, 2107751017: 9.998939037322998}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 31.002084016799927, 2107751016: 0, 2107751017: 0}}} 27082025|aluminium, 05102018_papier_non_papier_dense:0 27082025|aluminium, 05102018_papier_non_papier_peu_dense:0 27082025|aluminium, 05102018_papier_non_papier_presque_vide:0 27082025|aluminium, 05102018_papier_non_papier_tres_dense:0 27082025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 27082025|ela, 05102018_papier_non_papier_dense:0 27082025|ela, 05102018_papier_non_papier_peu_dense:0 27082025|ela, 05102018_papier_non_papier_presque_vide:0 27082025|ela, 05102018_papier_non_papier_tres_dense:0 27082025|ela, 05102018_papier_non_papier_tres_peu_dense:0 27082025|emr, 05102018_papier_non_papier_dense:0 27082025|emr, 05102018_papier_non_papier_peu_dense:0 27082025|emr, 05102018_papier_non_papier_presque_vide:10.00009298324585 27082025|emr, 05102018_papier_non_papier_tres_dense:0 27082025|emr, 05102018_papier_non_papier_tres_peu_dense:0 27082025|film_pedb, 05102018_papier_non_papier_dense:0 27082025|film_pedb, 05102018_papier_non_papier_peu_dense:0 27082025|film_pedb, 05102018_papier_non_papier_presque_vide:667.0002596378326 27082025|film_pedb, 05102018_papier_non_papier_tres_dense:0 27082025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 27082025|flux_dev, 05102018_papier_non_papier_dense:0 27082025|flux_dev, 05102018_papier_non_papier_peu_dense:0 27082025|flux_dev, 05102018_papier_non_papier_presque_vide:0 27082025|flux_dev, 05102018_papier_non_papier_tres_dense:0 27082025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 27082025|jrm, 05102018_papier_non_papier_dense:0 27082025|jrm, 05102018_papier_non_papier_peu_dense:0 27082025|jrm, 05102018_papier_non_papier_presque_vide:54.99859952926636 27082025|jrm, 05102018_papier_non_papier_tres_dense:11.001109838485718 27082025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 27082025|pcm, 05102018_papier_non_papier_dense:0 27082025|pcm, 05102018_papier_non_papier_peu_dense:0 27082025|pcm, 05102018_papier_non_papier_presque_vide:0 27082025|pcm, 05102018_papier_non_papier_tres_dense:0 27082025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 27082025|pcnc, 05102018_papier_non_papier_dense:0 27082025|pcnc, 05102018_papier_non_papier_peu_dense:32.00122809410095 27082025|pcnc, 05102018_papier_non_papier_presque_vide:8262.048298120499 27082025|pcnc, 05102018_papier_non_papier_tres_dense:0 27082025|pcnc, 05102018_papier_non_papier_tres_peu_dense:78.9987862110138 27082025|pehd_pp, 05102018_papier_non_papier_dense:0 27082025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 27082025|pehd_pp, 05102018_papier_non_papier_presque_vide:11.001017093658447 27082025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 27082025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 27082025|pet_clair, 05102018_papier_non_papier_dense:0 27082025|pet_clair, 05102018_papier_non_papier_peu_dense:0 27082025|pet_clair, 05102018_papier_non_papier_presque_vide:183.00417804718018 27082025|pet_clair, 05102018_papier_non_papier_tres_dense:0 27082025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 27082025|refus, 05102018_papier_non_papier_dense:0 27082025|refus, 05102018_papier_non_papier_peu_dense:0 27082025|refus, 05102018_papier_non_papier_presque_vide:1572.001734495163 27082025|refus, 05102018_papier_non_papier_tres_dense:0 27082025|refus, 05102018_papier_non_papier_tres_peu_dense:9.998939037322998 27082025|tapis_vide, 05102018_papier_non_papier_dense:0 27082025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 27082025|tapis_vide, 05102018_papier_non_papier_presque_vide:31.002084016799927 27082025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 27082025|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 ! 27082025_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 0 Number amount portfolio for this type of dechet : ela 0 Number amount portfolio for this type of dechet : emr 1 Created to study and clean : 26260970 with name like 27082025_emr_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : film_pedb 67 Created to study and clean : 26260971 with name like 27082025_film_pedb_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : flux_dev 0 Number amount portfolio for this type of dechet : jrm 7 Created to study and clean : 26260972 with name like 27082025_jrm_05102018_papier_non_papier_presque_vide Created to study and clean : 26260973 with name like 27082025_jrm_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : pcm 0 Number amount portfolio for this type of dechet : pcnc 833 Created to study and clean : 26260974 with name like 27082025_pcnc_05102018_papier_non_papier_peu_dense Created to study and clean : 26260976 with name like 27082025_pcnc_05102018_papier_non_papier_presque_vide Created to study and clean : 26260977 with name like 27082025_pcnc_05102018_papier_non_papier_tres_peu_dense Number amount portfolio for this type of dechet : pehd_pp 1 Created to study and clean : 26260978 with name like 27082025_pehd_pp_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : pet_clair 18 Created to study and clean : 26260979 with name like 27082025_pet_clair_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : refus 158 Created to study and clean : 26260980 with name like 27082025_refus_05102018_papier_non_papier_presque_vide Created to study and clean : 26260982 with name like 27082025_refus_05102018_papier_non_papier_tres_peu_dense Number amount portfolio for this type of dechet : tapis_vide 3 Created to study and clean : 26260983 with name like 27082025_tapis_vide_05102018_papier_non_papier_presque_vide begin to remove the low_density images haven't found thcl_volume NUMBER BATCH : 54 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', 'pcm', 'pcnc', 'jrm', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev', 'aluminium', 'tapis_vide', 'refus'] We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 32, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 314.00297832489014, 2: 0, 3: 0, 4: 0}, 'duration': 25390.99997496605, 'nb_balles_papier': 0.31500297832489005, 'begin_time_port': 'image_27082025_00_00_04_009708m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.31500297832489005 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 ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 23, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 232.9998002052307, 2: 0, 3: 0, 4: 0}, 'duration': 320.9998550415039, 'nb_balles_papier': 0.23299980020523073, 'begin_time_port': 'image_27082025_07_05_34_009772m0.jpg 0.01000000810623169 for time 10.00000810623169, id_amount 2 this amount prod time diff : 0.01000000810623169'} Production hashtag (incorrect ponderation at 20-10-18) : 0.23299980020523073 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 ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 23, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 229.99997305870056, 2: 0, 3: 0, 4: 0}, 'duration': 221.000009059906, 'nb_balles_papier': 0.2299999730587005, 'begin_time_port': 'image_27082025_07_12_04_009625m0.jpg 0.008999963998794555 for time 8.999963998794556, id_amount 2 this amount prod time diff : 0.008999963998794555'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2299999730587005 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 ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 36, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 362.00103211402893, 2: 0, 3: 0, 4: 0}, 'duration': 559.9989719390869, 'nb_balles_papier': 0.36200103211402895, 'begin_time_port': 'image_27082025_07_16_05_010674m0.jpg 0.011001018047332764 for time 11.001018047332764, id_amount 2 this amount prod time diff : 0.011001018047332764'} Production hashtag (incorrect ponderation at 20-10-18) : 0.36200103211402895 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 ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_refus:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 8, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 80.00099301338196, 2: 0, 3: 0, 4: 0}, 'duration': 71.0009970664978, 'nb_balles_papier': 0.08000099301338195, 'begin_time_port': 'image_27082025_07_25_34_009642m0.jpg 0.008999995946884155 for time 8.999995946884155, id_amount 2 this amount prod time diff : 0.008999995946884155'} Production hashtag (incorrect ponderation at 20-10-18) : 0.08000099301338195 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 1, 1: 514, 2: 1, 3: 7, 4: 0}, 'map_time_amount': {0: 11.001065015792847, 1: 5144.0109786987305, 2: 11.001109838485718, 3: 69.99880027770996, 4: 0}, 'duration': 6278.999957084656, 'nb_balles_papier': 5.236011953830725, 'begin_time_port': 'image_27082025_07_26_55_009656m0.jpg 0.009999017000198365 for time 9.999017000198364, id_amount 2 this amount prod time diff : 0.009999017000198365'} Production hashtag (incorrect ponderation at 20-10-18) : 5.236011953830725 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 ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_refus:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 19, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 190.00007390975952, 2: 0, 3: 0, 4: 0}, 'duration': 180.00000286102295, 'nb_balles_papier': 0.1900000739097595, 'begin_time_port': 'image_27082025_09_11_44_009684m0.jpg 0.010000071048736573 for time 10.000071048736572, id_amount 2 this amount prod time diff : 0.010000071048736573'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1900000739097595 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 ! result_one_balle_Type_refus:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 10, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 98.99893307685852, 2: 0, 3: 0, 4: 0}, 'duration': 88.99997901916504, 'nb_balles_papier': 0.09899893307685852, 'begin_time_port': 'image_27082025_09_16_25_009716m0.jpg 0.009998954057693481 for time 9.998954057693481, id_amount 2 this amount prod time diff : 0.009998954057693481'} Production hashtag (incorrect ponderation at 20-10-18) : 0.09899893307685852 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 12, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 123.00295519828796, 2: 0, 3: 0, 4: 0}, 'duration': 169.99897694587708, 'nb_balles_papier': 0.12300295519828797, 'begin_time_port': 'image_27082025_09_18_05_010755m0.jpg 0.011001060009002686 for time 11.001060009002686, id_amount 2 this amount prod time diff : 0.011001060009002686'} Production hashtag (incorrect ponderation at 20-10-18) : 0.12300295519828797 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 ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_refus:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 13, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 128.99995803833008, 2: 0, 3: 0, 4: 0}, 'duration': 118.99989414215088, 'nb_balles_papier': 0.12899995803833006, 'begin_time_port': 'image_27082025_09_21_05_009796m0.jpg 0.010000063896179199 for time 10.0000638961792, id_amount 2 this amount prod time diff : 0.010000063896179199'} Production hashtag (incorrect ponderation at 20-10-18) : 0.12899995803833006 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 12, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 124.00602602958679, 2: 0, 3: 0, 4: 0}, 'duration': 540.000922203064, 'nb_balles_papier': 0.12400602602958678, 'begin_time_port': 'image_27082025_09_24_05_009734m0.jpg 0.009999989032745361 for time 9.999989032745361, id_amount 2 this amount prod time diff : 0.009999989032745361'} Production hashtag (incorrect ponderation at 20-10-18) : 0.12400602602958678 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 ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_refus:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 12, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 118.9990131855011, 2: 0, 3: 0, 4: 0}, 'duration': 121.00006914138794, 'nb_balles_papier': 0.11899901318550109, 'begin_time_port': 'image_27082025_09_35_04_9610.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.11899901318550109 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 2, 1: 19, 2: 0, 3: 1, 4: 0}, 'map_time_amount': {0: 21.000163078308105, 1: 193.0037727355957, 2: 0, 3: 8.999985933303833, 4: 0}, 'duration': 399.99993109703064, 'nb_balles_papier': 0.22300392174720765, 'begin_time_port': 'image_27082025_09_37_14_9672.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.22300392174720765 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 ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 28, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 281.0029191970825, 2: 0, 3: 0, 4: 0}, 'duration': 548.9999339580536, 'nb_balles_papier': 0.28100291919708253, 'begin_time_port': 'image_27082025_09_45_25_9696.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.28100291919708253 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 ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_refus:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 32, 2: 0, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 320.0010619163513, 2: 0, 3: 9.998939037322998, 4: 0}, 'duration': 330.0000488758087, 'nb_balles_papier': 0.3300000009536744, 'begin_time_port': 'image_27082025_09_54_45_10622.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.3300000009536744 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 21, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 213.00406408309937, 2: 0, 3: 0, 4: 0}, 'duration': 458.9999840259552, 'nb_balles_papier': 0.21300406408309935, 'begin_time_port': 'image_27082025_10_00_25_9671.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.21300406408309935 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': '27082025', 'map_nb_amount': {0: 0, 1: 12, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 117.9991340637207, 2: 0, 3: 0, 4: 0}, 'duration': 130.00005316734314, 'nb_balles_papier': 0.1179991340637207, 'begin_time_port': 'image_27082025_10_10_04_9646.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1179991340637207 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 ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 43, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 438.0062439441681, 2: 0, 3: 0, 4: 0}, 'duration': 1298.9990210533142, 'nb_balles_papier': 0.4380062439441682, 'begin_time_port': 'image_27082025_10_16_15_10647.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.4380062439441682 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 ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 35, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 350.0000379085541, 2: 0, 3: 0, 4: 0}, 'duration': 349.99998807907104, 'nb_balles_papier': 0.35000003790855405, 'begin_time_port': 'image_27082025_10_38_15_9681.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.35000003790855405 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 ! result_one_balle_Type_pcnc:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 77, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 776.0081729888916, 2: 0, 3: 0, 4: 0}, 'duration': 1099.9990301132202, 'nb_balles_papier': 0.7760081729888918, 'begin_time_port': 'image_27082025_10_47_45_10625.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.7760081729888918 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 ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_refus:{'day': '27082025', 'map_nb_amount': {0: 0, 1: 10, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 100.0000228881836, 2: 0, 3: 0, 4: 0}, 'duration': 90.9999577999115, 'nb_balles_papier': 0.1000000228881836, 'begin_time_port': 'image_27082025_11_06_14_9720.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1000000228881836 We have rejected 82 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 21 list_same_port_ids : [] list_same_port_ids : [26255996] find same portfolio which already exist 26255996 , we will use it list_same_port_ids : [26255997] find same portfolio which already exist 26255997 , we will use it list_same_port_ids : [26256000] find same portfolio which already exist 26256000 , we will use it list_same_port_ids : [26256001] find same portfolio which already exist 26256001 , we will use it list_same_port_ids : [] list_same_port_ids : [26258328] find same portfolio which already exist 26258328 , we will use it list_same_port_ids : [26258329] find same portfolio which already exist 26258329 , we will use it list_same_port_ids : [26258330] find same portfolio which already exist 26258330 , we will use it list_same_port_ids : [26258331] find same portfolio which already exist 26258331 , we will use it list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] # 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`=26260985 AND mptpi.`type`=4207 To do Qualite : 0.015423535285176364 # 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`=26255996 AND mptpi.`type`=4207 To do Qualite : 0.11497257883810869 # 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`=26255997 AND mptpi.`type`=4207 To do Qualite : 0.02680502532298455 # 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`=26256000 AND mptpi.`type`=4207 To do Qualite : 0.062204378858024684 # 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`=26256001 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 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`=26260987 AND mptpi.`type`=4207 To do Qualite : 0.07180745918615984 # 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`=26258328 AND mptpi.`type`=3594 To do Qualite : 0.12330058834876545 # 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`=26258329 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 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`=26258330 AND mptpi.`type`=4207 To do Qualite : 0.07669382122507122 # 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`=26258331 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 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`=26260989 AND mptpi.`type`=4207 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=26260990 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 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`=26260991 AND mptpi.`type`=4207 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=26260992 AND mptpi.`type`=4207 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=26260994 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 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`=26260995 AND mptpi.`type`=4207 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 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`=26260996 AND mptpi.`type`=4461 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=26260997 AND mptpi.`type`=4207 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=26260999 AND mptpi.`type`=4207 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=26261000 AND mptpi.`type`=4207 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=26261001 AND mptpi.`type`=3594 To do elapsed_time : count_nb_balles_and_create_portfolio 46.54384970664978 # DISPLAY ALL COLLECTED DATA : {'27082025': {'nb_upload': 3825, 'nb_taggue_class': 3749, 'nb_taggue_densite': 3749, 'nb_descriptors': 3775, 'number_port': 54, 'count_photo_in_port': 1086, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 0, 'nb_portfolios': 0}, 'film_pedb': {'nb_photos': 24, 'nb_portfolios': 9}, 'flux_dev': {'nb_photos': 0, 'nb_portfolios': 0}, 'jrm': {'nb_photos': 2, 'nb_portfolios': 1}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 924, 'nb_portfolios': 24}, 'pehd_pp': {'nb_photos': 0, 'nb_portfolios': 0}, 'pet_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'refus': {'nb_photos': 136, 'nb_portfolios': 20}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1379650580, 1379650578, 1379650575, 1379650567, 1379650563, 1379650561, 1379650531, 1379650523, 1379650515, 1379650500, 1379650469, 1379650447, 1379650278, 1379650251, 1379650246, 1379650233, 1379650224, 1379650219, 1379649971, 1379649943, 1379649919, 1379649871, 1379649841, 1379649794, 1379649720, 1379649715, 1379649713, 1379649710, 1379649696, 1379649658, 1379649655, 1379649652, 1379649647, 1379649645, 1379649644, 1379649623, 1379649620, 1379649618, 1379649617, 1379649614, 1379649612, 1379649603, 1379649600, 1379649597, 1379649592, 1379649590, 1379649587, 1379649527, 1379649515, 1379649501, 1379649496, 1379649468, 1379649444, 1379649265, 1379649240, 1379649223, 1379649210, 1379649182, 1379649171, 1379648932, 1379648894, 1379648866, 1379648837, 1379648813, 1379648784, 1379648580, 1379648577, 1379648554, 1379648545, 1379648535, 1379648514, 1379648264, 1379648261, 1379648255, 1379648254, 1379648251, 1379648152, 1379648127, 1379648103, 1379648074, 1379648046, 1379648019, 1379647682, 1379647643, 1379647616, 1379647589, 1379647559, 1379647530, 1379647285, 1379647279, 1379647273, 1379647242, 1379647215, 1379647187, 1379647033, 1379647007, 1379646976, 1379646943, 1379646914, 1379646893] Looping around the photos to save general results len do output : 1 /26247210Didn'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 ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650580', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650578', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650575', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650567', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650563', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650561', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650531', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650523', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650515', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650500', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650469', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650447', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650278', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650251', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650246', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650233', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650224', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379650219', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649971', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649943', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649919', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649871', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649841', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649794', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649720', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649715', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649713', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649710', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649696', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649658', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649655', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649652', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649647', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649645', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649644', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649623', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649620', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649618', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649617', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649614', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649612', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649603', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649600', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649597', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649592', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649590', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649587', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649527', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649515', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649501', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649496', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649468', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649444', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649265', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649240', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649223', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649210', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649182', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379649171', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648932', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648894', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648866', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648837', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648813', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648784', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648580', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648577', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648554', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648545', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648535', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648514', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648264', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648261', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648255', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648254', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648251', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648152', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648127', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648103', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648074', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648046', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379648019', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647682', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647643', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647616', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647589', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647559', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647530', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647285', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647279', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647273', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647242', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647215', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647187', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647033', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379647007', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379646976', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379646943', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379646914', None, None, None, None, None, '3610890') ('4887', None, None, None, None, None, None, None, '3610890') ('4887', '26247210', '1379646893', None, None, None, None, None, '3610890') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.06668257713317871 save_final save missing photos in datou_result : time spend for datou_step_exec : 262.45053911209106 time spend to save output : 0.06728076934814453 total time spend for step 1 : 262.5178198814392 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 11.74user 2.40system 4:25.41elapsed 5%CPU (0avgtext+0avgdata 138496maxresident)k 496inputs+31000outputs (14major+74608minor)pagefaults 0swaps