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https://github.com/aykhans/AzSuicideDataVisualization.git
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40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
# Copyright 2018-2022 Streamlit Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import traceback
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import streamlit as st
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from streamlit import config
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from streamlit.logger import get_logger
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from streamlit.errors import UncaughtAppException
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LOGGER = get_logger(__name__)
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def handle_uncaught_app_exception(e: BaseException) -> None:
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"""Handle an exception that originated from a user app.
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By default, we show exceptions directly in the browser. However,
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if the user has disabled client error details, we display a generic
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warning in the frontend instead.
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"""
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if config.get_option("client.showErrorDetails"):
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LOGGER.warning(traceback.format_exc())
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st.exception(e)
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# TODO: Clean up the stack trace, so it doesn't include ScriptRunner.
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else:
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# Use LOGGER.error, rather than LOGGER.debug, since we don't
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# show debug logs by default.
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LOGGER.error("Uncaught app exception", exc_info=e)
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st.exception(UncaughtAppException(e))
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