handling-errors

To stop silent failures in Python exception handlers, you must ensure every except block either logs the error or re-raises the exception, eliminating empty except blocks to guarantee full visibility for all exceptions.

The difference between ERROR, WARNING, and DEBUG log levels for exceptions lies in severity: ERROR indicates critical failures requiring attention, WARNING highlights recoverable issues, and DEBUG captures diagnostic details for tracing intermittent bugs during development.

To handle exceptions during database operations and API calls, apply specific error handling patterns that mandate logging or re-raising, ensuring that domain-specific exceptions are caught and processed rather than being silently ignored.

Intermittent bugs that are hard to trace are often caused by silent failures where exception handlers hide errors without logging. Implementing robust error handling by mandating visibility for all exceptions helps identify if a hidden error is the root cause.

Anti-patterns for file handling exceptions in Python include using empty except blocks that swallow errors. Correct patterns enforce visibility by mandating that file operation errors are either logged with appropriate levels or re-raised immediately.