Use Python to monitor file content changes code
This article mainly introduces the code for using Python to monitor file content changes. It has a certain reference value. Now I share it with you. Friends in need can refer to it.
There are two main types of file monitoring in python. There are two libraries, one is pyinotify and the other is watchdog. pyinotify relies on inotify on the Linux platform. Today we will discuss pyinotify.
Use seek to monitor file content and print out the changed content:
#/usr/bin/env python #-*- coding=utf-8 -*- pos = 0 while True: con = open("a.txt") if pos != 0: con.seek(pos,0) while True: line = con.readline() if line.strip(): print line.strip() pos = pos + len(line) if not line.strip(): break con.close()
Use the tool pyinotify to monitor file content changes. When the file gradually becomes larger, you can easily complete the task:
#!/usr/bin/env python #-*- coding=utf-8 -*- import os import datetime import pyinotify import logging pos = 0 def printlog(): global pos try: fd = open("log/a.txt") if pos != 0: fd.seek(pos,0) while True: line = fd.readline() if line.strip(): print line.strip() pos = pos + len(line) if not line.strip(): break fd.close() except Exception,e: print str(e) class MyEventHandler(pyinotify.ProcessEvent): def process_IN_MODIFY(self,event): try: printlog() except Exception,e: print str(e) def main(): printlog() wm = pyinotify.WatchManager() wm.add_watch("log/a.txt",pyinotify.ALL_EVENTS,rec=True) eh = MyEventHandler() notifier = pyinotify.Notifier(wm,eh) notifier.loop() if __name__ == "__main__": main()
Related recommendations:
How to use Python's Requests package implements simulated login
The above is the detailed content of Use Python to monitor file content changes code. For more information, please follow other related articles on the PHP Chinese website!

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



PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

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.

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.

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 is available on Mac. It has powerful extensions, Git integration, terminal and debugger, and also offers a wealth of setup options. However, for particularly large projects or highly professional development, VS Code may have performance or functional limitations.

The key to running Jupyter Notebook in VS Code is to ensure that the Python environment is properly configured, understand that the code execution order is consistent with the cell order, and be aware of large files or external libraries that may affect performance. The code completion and debugging functions provided by VS Code can greatly improve coding efficiency and reduce errors.
