Logging multithreaded processes in python смотреть онлайн

Multithreading in Python allows you to run multiple threads (smaller units of a program) concurrently within a single process. However, when dealing with multithreaded processes, it can be challenging to debug and monitor them. Logging is an essential tool to help you understand what's happening in your threads. In this tutorial, we'll explore how to log multithreaded processes in Python using the logging module, and we'll provide code examples to illustrate the concepts.
Before you begin, make sure you have Python installed on your system. You'll also need to be familiar with the basics of multithreading in Python. If you're new to threading, consider reviewing Python's threading module documentation first.
Import the logging module:
To start logging in your Python program, you need to import the logging module.
Configure the logging settings:
You can configure the logging settings, such as the log level and the log format, to fit your needs. Here's an example configuration:
The above configuration sets the log level to DEBUG, which means all log messages, including debug messages, will be recorded. You can adjust the level to INFO, WARNING, ERROR, or CRITICAL based on your requirements.
Create a logger for each thread:
To log events from different threads separately, you should create a logger for each thread.