The only responsibility modules have is to make it easy for the application to route their log messages. That is the responsibility of the application. In general, a module should emit log messages as a best practice and should not configure how those messages are handled. Sometimes these modules are intended to be used by other programs, but unless youвЂ™re intentionally developing reusable modules inside your application, itвЂ™s likely youвЂ™re using modules available from pypi and modules that you write yourself specific for your application. LevelДЄ well-organized Python application is likely composed of many modules. NOTSET and DEBUG messages will not be included here. If you set the log level to INFO, it will include INFO, WARNING, ERROR, and CRITICAL messages. When you set a logging level in Python using the standard module, youвЂ™re telling the library you want to handle all events from that level on up. Logging levels are listed here in the Python documentation weвЂ™ll include them here for reference. The rest of this article will focus on best practices instead of all the possible ways of using this module. The Python documentation contains an excellent article on the logging module and how it all works together. The handler will then use a Formatter to turn the LogRecord into a string and emit that string.ДЇortunately, most of the time developers do not have to be aware of the details. Internally, the message is turned into a LogRecord object and routed to a Handler object registered for this logger. While it might sound complicated, it can be as simple as this: import logging This logger then can be used to emit simply-formatted messages at different log levels (DEBUG, INFO, ERROR, etc.), which again can be used by the application to handle messages of higher priority different than those of a lower priority. The name can be used by the application to configure different rules for different loggers. To emit a log message, a caller first requests a named logger. This allows for a highly flexible configuration that can deal with a lot of different use cases. The module provides a way for applications to configure different log handlers and a way of routing log messages to these handlers. This module is widely used by libraries and is the first go-to point for most developers when it comes to logging. Python comes with a logging module in the standard library that provides a flexible framework for emitting log messages from Python programs. After reading this, you should be able to easily integrate logging into your Python application. This article covers the basics of using the standard logging module that ships with all Python distributions. Python Logging Libraries and Frameworks.

Analyzing and Troubleshooting Python Logs.

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