Python Logging Inherit contextual information

Logging is an essential aspect of software development, allowing developers to gather information about the execution of their code. Python's built-in logging module provides a flexible and powerful framework for handling log messages. In this tutorial, we'll explore how to inherit contextual information in your logs, making it easier to trace and understand the flow of your program.
Before diving into inheriting contextual information, let's briefly review the basics of Python logging.
This sets the logging level to DEBUG and defines a basic log message format.
Now that we have a basic understanding of Python logging, let's move on to inheriting contextual information.
To make your logs more informative and traceable, you can inherit contextual information from one log message to another. This is especially useful in situations where a series of log messages belong to the same context, such as a request or a transaction.
Create a logger object with the getLogger function. Using __name__ as the argument ensures that the logger is named after the current module.
In this example, we added contextual information about the user to both log messages using the extra parameter. This information will be included in the log records.
By creating a context manager, you can encapsulate a series of log messages within a specific context. This is useful for ensuring that all log messages related to a specific operation share the same contextual information.
This example demonstrates how to use a combination of a logger, contextual information, and a context manager to create informative and traceable logs.
By following these practices, you can enhance the clarity of your logs and make it easier to understand the flow of your program, especially in complex systems or applications with multiple components.
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