Several ways to configure logs in Python

Logging is a very important tool in the software development and debugging process. It can help us record and track the execution of the code, as well as discover potential problems and errors. Python provides several methods for configuring logs. These methods are described in detail below and corresponding source code examples are provided.

  1. Use default configuration

Python's standard library includes a logging module, which provides a set of default logging configurations. We can directly use these default configurations for logging.

import logging

# 创建一个日志记录器
logger = logging.getLogger(__name__)

# 设置日志级别
logger.setLevel(logging.DEBUG)

# 创建一个输出到控制台的处理器
console_handler = logging.StreamHandler

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Origin blog.csdn.net/NoerrorCode/article/details/133510378