Python Logging module research
Background
I added a logging function to a new project and wanted to write one myself, but by chance, I discovered through Google that Python has a very powerful built-in log module: logging. After some rough research, here are some of my notes.
Why use logs
Track some running information of the program to achieve the purpose of always understanding the running status of the program, quickly catching program exceptions, and timely discovering program errors
Introduction to the logging module
Starting from Python 2.3, Python The standard library has added a logging module. The logging module provides a standard information output interface for running applications. The typical logging mechanism implementation is to simply write the data to be output to a txt file. The way to write a log file is A common way of logging, and the logging module provides more. It can output output information to all file-like objects, even TCP and UDP sockets, email servers, Unix syslog systems, and NT series Event log system, memory buffer and HTTP server, and of course "real" files.
Introducing the logging module:
import logging #import logging module #使用logging模块: class CLog: #---------------------------------------------------------------------------- def __init__(self): self.logger = logging.getLogger() fileHandler = logging.FileHandler(LOG_FILE_PATH) formatHandler = logging.Formatter('%(asctime)s %(levelname)s: %(message)s') fileHandler.setFormatter(formatHandler) self.logger.addHandler(fileHandler) self.logger.setLevel(logging.NOTSET) #---------------------------------------------------------------------------- def DebugMessage(self,msg): self.logger.debug(msg) pass oCLog = CLog()
A simple log module is defined above, and I want to use this simple code to describe it Check the logging module
logger
to get an instance of the log. This part of the code is well separated. You can enrich the characteristics of the log instance by adding different handlers
FileHandler
specifies that the output end of the Log is a file, through Pass in the file path to specify the output file. We can define other output terminals for Log, such as StreamHandler, and various other complex output methods. File is probably the most commonly used method, and other methods need to be slowly explored
FormatHandler
FomartHandler specifies the output format of FileHandler. For example, I use the following format: ('%(asctime)s %(levelname)s: %(message)s'), then the output text format is:
2013-07 -25 08:20:01,525 INFO: goodbye [127.0.0.1]:60442
For format keywords, such as asctime, levelname, please refer to the LogRecord attributes official document
Level
The Logging module defines 5 types of log information The priority of
LevelWhen it's used
DEBUGDetailed information, typically of interest only when diagnosing problems.
INFOConfirmation that things are working as expected.
WARNINGAn indication that something unexpected happened, or indicative of some problem in the near future ( e.g. 'disk space low'). The software is still working as expected.
ERRORDue to a more serious problem, the software has not been able to perform some function.
CRITICALA serious error, indicating that the program itself may be unable to continue running.
Priority relationship:
DEBUG
You can determine the output information based on self.logger.debug(msg), self.logger.info(msg), and other functions Priority
SetLevel
SetLevel function defines the priority of the Log instance for processing log information. If the defined priority is info, all debug information will be ignored and will not be output to the output. Only the set priority will be input. And information above the set priority

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.
