Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing.

Autologging provides two decorators and a custom log level:

"autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName").

"autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default)

"autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported

Project Activity

See All Activity >

Categories

Logging, Libraries

License

MIT License

Follow Autologging

Autologging Web Site

Other Useful Business Software
Build Data Resilience - Take the Assessment Today Icon
Build Data Resilience - Take the Assessment Today

Can you recover when it matters most? Take this quick assessment to identify gaps and build greater recovery confidence.

Is your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
Take the Assessment
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Autologging!

Additional Project Details

Intended Audience

Developers

Programming Language

Python

Related Categories

Python Logging Software, Python Libraries

Registered

2013-03-28