Custom Error Handling with Python's Logging Module
Ensuring that uncaught exceptions are properly handled and logged can be crucial for troubleshooting and maintaining the stability of a Python application. While manually catching and logging exceptions is a viable approach, it can be tedious and error-prone.
To address this issue, Python allows you to override the default exception handling mechanism and redirect uncaught exceptions to the logging module. This provides a convenient and systematic way to capture and log detailed exception information.
Solution
The problem presented can be solved by modifying the global sys.excepthook function. By defining a custom exception handler, you can intercept all uncaught exceptions and handle them as desired. Here's a complete and robust example:
<code class="python">import sys import logging logger = logging.getLogger(__name__) handler = logging.StreamHandler(stream=sys.stdout) logger.addHandler(handler) def handle_exception(exc_type, exc_value, exc_traceback): # Ignore KeyboardInterrupt so the application can exit with Ctrl + C if issubclass(exc_type, KeyboardInterrupt): sys.__excepthook__(exc_type, exc_value, exc_traceback) return # Log the uncaught exception logger.error("Uncaught exception", exc_info=(exc_type, exc_value, exc_traceback)) sys.excepthook = handle_exception # Example code to test the custom exception handling if __name__ == "__main__": raise RuntimeError("Test unhandled")</code>
Explanation
This code:
When an uncaught exception is raised, the custom exception handler intervenes and logs the exception details to the configured handler. In this case, the default stream handler is used to output the exception information to stdout.
Additional Features
The example also includes a few optional features:
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