| [2025-12-10 19:59:48,256] ERROR in app: Error in training thread: training_interrupted | |
| [2025-12-10 21:48:24,453] WARNING in app: User error during training: error_time_limit_range | |
| [2025-12-10 21:49:33,968] WARNING in app: User error during training: error_time_limit_range | |
| [2025-12-10 21:49:38,419] WARNING in app: User error during training: error_time_limit_range | |
| [2025-12-11 00:55:17,455] ERROR in app: Error in training thread: error_unexpected_training | |
| [2025-12-11 01:04:56,750] ERROR in app: Error in training thread: error_unexpected_training | |
| [2025-12-11 01:05:53,619] ERROR in app: Error in training thread: error_unexpected_training | |
| [2025-12-11 01:08:11,501] ERROR in app: Error in training thread: error_unexpected_training | |
| [2025-12-11 01:18:37,740] ERROR in app: Error in training thread: error_unexpected_training | |
| [2025-12-11 01:25:15,434] ERROR in model_utils: Unexpected error during training | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\utils\model_utils.py", line 164, in train_model | |
| return train_model_timeseries( | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 292, in train_model_timeseries | |
| ts_df = TimeSeriesDataFrame.from_data_frame( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| TypeError: TimeSeriesDataFrame.from_data_frame() got an unexpected keyword argument 'target' | |
| [2025-12-11 01:25:15,451] ERROR in app: Error in training thread | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\utils\model_utils.py", line 164, in train_model | |
| return train_model_timeseries( | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 292, in train_model_timeseries | |
| ts_df = TimeSeriesDataFrame.from_data_frame( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| TypeError: TimeSeriesDataFrame.from_data_frame() got an unexpected keyword argument 'target' | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\app.py", line 171, in training_task | |
| metrics = train_model(df, target_column, time_limit, training_folder, stop_event, time_column=time_column, prediction_length_percent=prediction_length_percent) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 279, in train_model | |
| raise UserError("error_unexpected_training") | |
| utils.model_utils.UserError: error_unexpected_training | |
| [2025-12-11 01:27:29,981] ERROR in model_utils: Unexpected error during training | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\utils\model_utils.py", line 164, in train_model | |
| return train_model_timeseries( | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 293, in train_model_timeseries | |
| ts_df = TimeSeriesDataFrame.from_data_frame( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| TypeError: TimeSeriesDataFrame.from_data_frame() got an unexpected keyword argument 'target_column' | |
| [2025-12-11 01:27:29,987] ERROR in app: Error in training thread | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\utils\model_utils.py", line 164, in train_model | |
| return train_model_timeseries( | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 293, in train_model_timeseries | |
| ts_df = TimeSeriesDataFrame.from_data_frame( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| TypeError: TimeSeriesDataFrame.from_data_frame() got an unexpected keyword argument 'target_column' | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\app.py", line 171, in training_task | |
| metrics = train_model(df, target_column, time_limit, training_folder, stop_event, time_column=time_column, prediction_length_percent=prediction_length_percent) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 279, in train_model | |
| raise UserError("error_unexpected_training") | |
| utils.model_utils.UserError: error_unexpected_training | |
| [2025-12-11 01:29:39,109] ERROR in model_utils: Failed to infer/convert frequency for time series | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\utils\model_utils.py", line 299, in train_model_timeseries | |
| ts_df = ts_df.convert_frequency() | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| TypeError: TimeSeriesDataFrame.convert_frequency() missing 1 required positional argument: 'freq' | |
| [2025-12-11 01:29:39,114] ERROR in app: Error in training thread | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\utils\model_utils.py", line 299, in train_model_timeseries | |
| ts_df = ts_df.convert_frequency() | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| TypeError: TimeSeriesDataFrame.convert_frequency() missing 1 required positional argument: 'freq' | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\app.py", line 171, in training_task | |
| metrics = train_model(df, target_column, time_limit, training_folder, stop_event, time_column=time_column, prediction_length_percent=prediction_length_percent) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 164, in train_model | |
| return train_model_timeseries( | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 302, in train_model_timeseries | |
| raise UserError("error_invalid_time_column") | |
| utils.model_utils.UserError: error_invalid_time_column | |
| [2025-12-11 01:32:35,600] ERROR in model_utils: Unexpected error during training | |
| Traceback (most recent call last): | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\pandas\core\indexes\base.py", line 3790, in get_loc | |
| return self._engine.get_loc(casted_key) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "index.pyx", line 152, in pandas._libs.index.IndexEngine.get_loc | |
| File "index.pyx", line 181, in pandas._libs.index.IndexEngine.get_loc | |
| File "pandas\_libs\hashtable_class_helper.pxi", line 7080, in pandas._libs.hashtable.PyObjectHashTable.get_item | |
| File "pandas\_libs\hashtable_class_helper.pxi", line 7088, in pandas._libs.hashtable.PyObjectHashTable.get_item | |
| KeyError: 'target' | |
| The above exception was the direct cause of the following exception: | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\utils\model_utils.py", line 164, in train_model | |
| return train_model_timeseries( | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 325, in train_model_timeseries | |
| y_pred = preds_slice["target"].to_numpy() | |
| ~~~~~~~~~~~^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\pandas\core\frame.py", line 3893, in __getitem__ | |
| indexer = self.columns.get_loc(key) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\pandas\core\indexes\base.py", line 3797, in get_loc | |
| raise KeyError(key) from err | |
| KeyError: 'target' | |
| [2025-12-11 01:32:35,611] ERROR in app: Error in training thread | |
| Traceback (most recent call last): | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\pandas\core\indexes\base.py", line 3790, in get_loc | |
| return self._engine.get_loc(casted_key) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "index.pyx", line 152, in pandas._libs.index.IndexEngine.get_loc | |
| File "index.pyx", line 181, in pandas._libs.index.IndexEngine.get_loc | |
| File "pandas\_libs\hashtable_class_helper.pxi", line 7080, in pandas._libs.hashtable.PyObjectHashTable.get_item | |
| File "pandas\_libs\hashtable_class_helper.pxi", line 7088, in pandas._libs.hashtable.PyObjectHashTable.get_item | |
| KeyError: 'target' | |
| The above exception was the direct cause of the following exception: | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\utils\model_utils.py", line 164, in train_model | |
| return train_model_timeseries( | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 325, in train_model_timeseries | |
| y_pred = preds_slice["target"].to_numpy() | |
| ~~~~~~~~~~~^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\pandas\core\frame.py", line 3893, in __getitem__ | |
| indexer = self.columns.get_loc(key) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\pandas\core\indexes\base.py", line 3797, in get_loc | |
| raise KeyError(key) from err | |
| KeyError: 'target' | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\app.py", line 171, in training_task | |
| metrics = train_model(df, target_column, time_limit, training_folder, stop_event, time_column=time_column, prediction_length_percent=prediction_length_percent) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 279, in train_model | |
| raise UserError("error_unexpected_training") | |
| utils.model_utils.UserError: error_unexpected_training | |
| [2025-12-11 01:35:59,840] ERROR in model_utils: Unexpected error during training | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\utils\model_utils.py", line 164, in train_model | |
| return train_model_timeseries( | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 357, in train_model_timeseries | |
| "best_model": predictor.get_model_best(), | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| AttributeError: 'TimeSeriesPredictor' object has no attribute 'get_model_best' | |
| [2025-12-11 01:35:59,843] ERROR in app: Error in training thread | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\utils\model_utils.py", line 164, in train_model | |
| return train_model_timeseries( | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 357, in train_model_timeseries | |
| "best_model": predictor.get_model_best(), | |
| ^^^^^^^^^^^^^^^^^^^^^^^^ | |
| AttributeError: 'TimeSeriesPredictor' object has no attribute 'get_model_best' | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "D:\UI_medical-main\app.py", line 171, in training_task | |
| metrics = train_model(df, target_column, time_limit, training_folder, stop_event, time_column=time_column, prediction_length_percent=prediction_length_percent) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\model_utils.py", line 279, in train_model | |
| raise UserError("error_unexpected_training") | |
| utils.model_utils.UserError: error_unexpected_training | |
| [2025-12-11 01:44:06,311] ERROR in app: Error in chat endpoint: Traceback (most recent call last): | |
| File "D:\UI_medical-main\app.py", line 374, in chat | |
| response = handle_chat_request(data) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\chatbot_utils.py", line 83, in handle_chat_request | |
| completion = client.chat.completions.create( | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\groq\resources\chat\completions.py", line 361, in create | |
| return self._post( | |
| ^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\groq\_base_client.py", line 1222, in post | |
| return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\groq\_base_client.py", line 1031, in request | |
| raise self._make_status_error_from_response(err.response) from None | |
| groq.BadRequestError: Error code: 400 - {'error': {'message': 'invalid image data', 'type': 'invalid_request_error'}} | |
| [2025-12-11 01:44:46,841] WARNING in app: User error during training: error_time_limit_range | |
| [2025-12-11 15:53:13,943] WARNING in app: User error during training: error_time_limit_range | |
| [2025-12-11 15:53:16,165] WARNING in app: User error during training: error_time_limit_range | |
| [2025-12-11 15:53:28,761] WARNING in app: User error during training: error_time_limit_range | |
| [2025-12-11 15:54:39,472] WARNING in app: User error during training: error_time_limit_range | |
| [2025-12-11 16:01:25,715] ERROR in app: Error generating PDF: Traceback (most recent call last): | |
| File "D:\UI_medical-main\app.py", line 249, in download_pdf | |
| preprocessing_summary = build_preprocessing_summary(preprocessing) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\chatbot_utils.py", line 159, in build_preprocessing_summary | |
| client = Groq(api_key=GROQ_API_KEY) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\groq\_client.py", line 79, in __init__ | |
| raise GroqError( | |
| groq.GroqError: The api_key client option must be set either by passing api_key to the client or by setting the GROQ_API_KEY environment variable | |
| [2025-12-11 16:07:38,085] ERROR in app: Error generating PDF: Traceback (most recent call last): | |
| File "D:\UI_medical-main\app.py", line 249, in download_pdf | |
| preprocessing_summary = build_preprocessing_summary(preprocessing) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\chatbot_utils.py", line 159, in build_preprocessing_summary | |
| client = Groq(api_key=GROQ_API_KEY) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\groq\_client.py", line 79, in __init__ | |
| raise GroqError( | |
| groq.GroqError: The api_key client option must be set either by passing api_key to the client or by setting the GROQ_API_KEY environment variable | |
| [2025-12-11 16:14:22,922] ERROR in app: Error generating PDF: Traceback (most recent call last): | |
| File "D:\UI_medical-main\app.py", line 249, in download_pdf | |
| preprocessing_summary = build_preprocessing_summary(preprocessing, groq_api_key=data.get('groq_api_key')) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\chatbot_utils.py", line 159, in build_preprocessing_summary | |
| """ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\groq\_client.py", line 79, in __init__ | |
| raise GroqError( | |
| groq.GroqError: The api_key client option must be set either by passing api_key to the client or by setting the GROQ_API_KEY environment variable | |
| [2025-12-11 16:15:50,824] ERROR in app: Error generating PDF: Traceback (most recent call last): | |
| File "D:\UI_medical-main\app.py", line 249, in download_pdf | |
| preprocessing_summary = build_preprocessing_summary(preprocessing, groq_api_key=data.get('groq_api_key')) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\chatbot_utils.py", line 159, in build_preprocessing_summary | |
| """ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\groq\_client.py", line 79, in __init__ | |
| raise GroqError( | |
| groq.GroqError: The api_key client option must be set either by passing api_key to the client or by setting the GROQ_API_KEY environment variable | |
| [2025-12-11 16:21:33,746] ERROR in app: Error generating PDF: Traceback (most recent call last): | |
| File "D:\UI_medical-main\app.py", line 252, in download_pdf | |
| buffer = generate_pdf( | |
| ^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\chatbot_utils.py", line 366, in generate_pdf | |
| explanation = generate_explanation_plot(plot=data.get(plot_type), name=metric, value=score) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\utils\chatbot_utils.py", line 203, in generate_explanation_plot | |
| client = Groq(api_key=GROQ_API_KEY) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\groq\_client.py", line 79, in __init__ | |
| raise GroqError( | |
| groq.GroqError: The api_key client option must be set either by passing api_key to the client or by setting the GROQ_API_KEY environment variable | |
| [2025-12-12 01:31:56,762] ERROR in app: Exception on / [GET] | |
| Traceback (most recent call last): | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\app.py", line 1511, in wsgi_app | |
| response = self.full_dispatch_request() | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\app.py", line 919, in full_dispatch_request | |
| rv = self.handle_user_exception(e) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\app.py", line 917, in full_dispatch_request | |
| rv = self.dispatch_request() | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\app.py", line 902, in dispatch_request | |
| return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return] | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\app.py", line 116, in index | |
| return render_template('interface.html') | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\templating.py", line 149, in render_template | |
| template = app.jinja_env.get_or_select_template(template_name_or_list) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\jinja2\environment.py", line 1087, in get_or_select_template | |
| return self.get_template(template_name_or_list, parent, globals) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\jinja2\environment.py", line 1016, in get_template | |
| return self._load_template(name, globals) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\jinja2\environment.py", line 975, in _load_template | |
| template = self.loader.load(self, name, self.make_globals(globals)) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\jinja2\loaders.py", line 126, in load | |
| source, filename, uptodate = self.get_source(environment, name) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\templating.py", line 65, in get_source | |
| return self._get_source_fast(environment, template) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\templating.py", line 96, in _get_source_fast | |
| return loader.get_source(environment, template) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\jinja2\loaders.py", line 215, in get_source | |
| contents = f.read() | |
| ^^^^^^^^ | |
| File "<frozen codecs>", line 322, in decode | |
| UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe7 in position 1509: invalid continuation byte | |
| [2025-12-12 01:33:46,576] ERROR in app: Exception on / [GET] | |
| Traceback (most recent call last): | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\app.py", line 1511, in wsgi_app | |
| response = self.full_dispatch_request() | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\app.py", line 919, in full_dispatch_request | |
| rv = self.handle_user_exception(e) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\app.py", line 917, in full_dispatch_request | |
| rv = self.dispatch_request() | |
| ^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\app.py", line 902, in dispatch_request | |
| return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return] | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "D:\UI_medical-main\app.py", line 116, in index | |
| return render_template('interface.html') | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\templating.py", line 149, in render_template | |
| template = app.jinja_env.get_or_select_template(template_name_or_list) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\jinja2\environment.py", line 1087, in get_or_select_template | |
| return self.get_template(template_name_or_list, parent, globals) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\jinja2\environment.py", line 1016, in get_template | |
| return self._load_template(name, globals) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\jinja2\environment.py", line 975, in _load_template | |
| template = self.loader.load(self, name, self.make_globals(globals)) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\jinja2\loaders.py", line 126, in load | |
| source, filename, uptodate = self.get_source(environment, name) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\templating.py", line 65, in get_source | |
| return self._get_source_fast(environment, template) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\flask\templating.py", line 96, in _get_source_fast | |
| return loader.get_source(environment, template) | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "C:\Users\Ivan\miniconda3\envs\uimedical\Lib\site-packages\jinja2\loaders.py", line 215, in get_source | |
| contents = f.read() | |
| ^^^^^^^^ | |
| File "<frozen codecs>", line 322, in decode | |
| UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe7 in position 1509: invalid continuation byte | |
| [2026-01-21 00:11:44,282] WARNING in app: User error during training: error_time_limit_range | |
| [2026-01-21 19:32:43,917] WARNING in app: User error prediction: error_unexpected_prediction | |
| [2026-01-21 20:00:14,780] WARNING in app: User error prediction: error_unexpected_prediction | |
| [2026-01-22 16:29:05,010] WARNING in base: Run time of job "cleanup_old_files (trigger: interval[1:00:00], next run at: 2026-01-22 17:08:16 CET)" was missed by 0:20:48.530197 | |