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Catching and handling exceptions is crucial for error handling in Python. However, what about uncaught exceptions that would otherwise be printed to the standard error output (stderr)?
While it's always advisable to catch and handle exceptions explicitly, sometimes it can be convenient to automate the logging of uncaught exceptions. Instead of relying on a try/except block, the following solution allows for logging to occur automatically:
<code class="python">import sys import logging # Create a custom exception handler def handle_exception(exc_type, exc_value, exc_traceback): if issubclass(exc_type, KeyboardInterrupt): sys.__excepthook__(exc_type, exc_value, exc_traceback) return # Use the logging module to handle the uncaught exception logger = logging.getLogger(__name__) logger.error("Uncaught exception", exc_info=(exc_type, exc_value, exc_traceback)) # Replace the default exception handler with our custom one sys.excepthook = handle_exception # Set up a logger and handler logger = logging.getLogger(__name__) handler = logging.StreamHandler(stream=sys.stdout) logger.addHandler(handler) # Raise an exception to test the custom exception handling if __name__ == "__main__": raise RuntimeError("Test unhandled")</code>
This code accomplishes several tasks:
By automating the logging of uncaught exceptions, this approach simplifies error handling and provides a central location to review all exceptions that occur during program execution, whether they are caught or not.
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