Question 1

How to integrate logfmter with Django logging?

Accepted Answer

Configure Django's LOGGING setting using dictConfig with Logfmter as the formatter. Set the formatter to 'logfmter.Logfmter' and adjust keys or mappings as needed for consistent structured logs across the app.

Question 2

logfmter vs structlog: which should I use?

Accepted Answer

Choose logfmter if you want to add structured logging without changing existing code, leveraging stdlib logging. Structlog is better for new projects needing advanced features like bound loggers and processors, but may require refactoring.

Question 3

Can logfmter handle JSON logs?

Accepted Answer

No, logfmter only outputs logfmt format. For JSON logs, you'd need to subclass Logfmter to convert values or use a different library like python-json-logger, as logfmt is flat key-value based.

Question 4

How to add a default field to all logs with logfmter?

Accepted Answer

Use the defaults parameter during Logfmter initialization, e.g., defaults={'app_name': 'myapp'}, which injects app_name=myapp into every log message without modifying individual calls.

Question 5

Is logfmter compatible with async Python?

Accepted Answer

Logfmter works with the standard logging module, which isn't inherently async. Ensure logging handlers are thread-safe in async contexts, but logfmter doesn't add async-specific features or guarantees.

Question 6

What happens if I pass reserved keys in extra?

Accepted Answer

Stdlib logging blocks reserved keys like filename in extra, so use the msg argument as a dictionary instead, e.g., logging.error({'msg': 'error', 'filename': 'file.txt'}), to include them in logfmt output.

logfmter

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