Question 1

How to rotate log files by size in Loguru?

Accepted Answer

Use the add() function with the rotation parameter, e.g., logger.add('file.log', rotation='500 MB') to automatically create a new file when it reaches 500 MB. This is built-in and requires no additional setup.

Question 2

Loguru vs standard logging: which is better for production?

Accepted Answer

Loguru excels in simplicity and out-of-the-box features like file rotation and colors, but standard logging might be preferred in enterprise environments for its hierarchical structure and wider ecosystem compatibility. Loguru can interoperate with standard logging handlers if needed.

Question 3

How to catch and log exceptions in Python with Loguru?

Accepted Answer

Use the @logger.catch decorator or context manager on functions to automatically log exceptions with full stack traces. For example, @logger.catch def my_func(): ensures errors are logged without manual try-except blocks.

Question 4

Can Loguru output logs in JSON format?

Accepted Answer

Yes, set serialize=True in the add() function to convert each log message to JSON. You can also use bind() for contextual data, making it suitable for log analysis tools like ELK stacks.

Question 5

How to disable Loguru in a library to avoid forcing dependencies?

Accepted Answer

Call logger.disable('your_library_name') in the library code, which turns logging into no-op. Users can re-enable it with logger.enable('your_library_name') if they want to see logs.

Question 6

Is Loguru thread-safe for multi-threaded applications?

Accepted Answer

Yes, sinks added to Loguru are thread-safe by default. For multiprocess safety or async logging, use the enqueue=True parameter in add() to queue messages and maintain integrity.

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