Table of Contents
1. Preparation
2. Let’s do it in practice
3. Summary
Home Backend Development Python Tutorial Practical combat: How to use Python to automatically monitor folders to complete service deployment

Practical combat: How to use Python to automatically monitor folders to complete service deployment

May 09, 2023 am 10:46 AM
python folder

实战 | 如何用 Python 自动化监控文件夹完成服务部署!

Hello everyone, I am Peng Tao!

When deploying front-end projects recently, you need to first upload the compressed package of the front-end project to the /tmp directory of the application server through the bastion machine, then enter the application server and use the mv command to move the compressed file to the Nginx project Set the directory, and finally use the unzip command to unzip the file to complete the deployment of the project.

A careful analysis shows that most operations are repetitive actions, and completing these operations manually will greatly reduce work efficiency.

This article will introduce how to use Python to monitor folders to assist in completing service deployment.

1. Preparation

Here we will introduce a Python dependent library "watchdog"

It can be used to monitor file changes in a certain file directory, including: deletion, modification, Added new waiting operations, each operation will call back an event function, and we can write custom logic internally to meet our needs.

# 安装依赖包
pip3 install watchdog
Copy after login

Project address:

​https://www.php.cn/link/690e6de4e3e2c0916b6160d9959d156b​​​

2. Let’s do it in practice

First, we need to create a listener to listen to the folder directory

from watchdog.observers import Observer
...
# 创建一个监听器,用来监听文件夹目录
observer = Observer()
...
Copy after login

Then, create 2 event handling objects.

PS: This object inherits from the "FileSystemEventHandler" class.

They are used to monitor the "/tmp" directory and the "/home/project/frontend" directory respectively. Assume that the event objects are named obj1 and obj2

obj1 is responsible for monitoring the /tmp directory. Re- Write the "New or Modified" event method to complete the moving operation of the compressed file:

from watchdog.events import *
import ntpath
import shutil
import zipfile
def get_filename(filepath):
 """
 根据文件夹目录,获取文件名称(待后缀)
 :param filepath:
 :return:
 """
 return ntpath.basename(filepath)
class FileMoveHandler(FileSystemEventHandler):
 def __init__(self):
 FileSystemEventHandler.__init__(self)
 ...
 # 文件新建
 def on_created(self, event):
 # 新建文件夹
 if event.is_directory:
 # print("directory created:{0}".format(event.src_path))
 pass
 # 新建文件
 else:
 # print("file created:{0}".format(event.src_path))
 filename = get_filename(event.src_path)
 # 如果属于前端的4个项目压缩包,开始文件夹的操作
 if filename in watch_tags:
 self.start(filename)
...
def on_modified(self, event):
 if event.is_directory:
 # print("directory modified:{0}".format(event.src_path))
 pass
 else:
 # print("file modified:{0}".format(event.src_path))
 filename = get_filename(event.src_path)
 if filename in watch_tags:
 self.start(filename)
 ...
 def start(self, filename):
 """
 文件处理逻辑
 :param filename:
 :return:
 """
 try:
 # 文件名不带后缀
 filename_without_suffix = filename.split(".")[0]
 # 源文件路径(压缩包文件)
 source_file_path = watch_folder + filename
 # 目标文件路径(压缩包文件)
 target_file_path = target_folder + filename
 # 目标项目文件夹(目标项目)
 target_project_path = target_folder + filename_without_suffix
 # 1、复制文件到目标文件夹
 print(f"拷贝源目录{source_file_path},目标文件夹:{target_folder}")
 # 删除目标文件夹下的压缩文件
 if os.path.exists(target_file_path):
 os.remove(target_file_path)
 # 移动文件到目标文件夹中
 shutil.move(source_file_path, target_folder)
 # 2、清空目标文件夹中内的所有文件夹(如果存在)
 # 如果不存在,新建一个文件夹
 if os.path.exists(target_project_path):
 shutil.rmtree(target_project_path, ignore_errors=True)
 print(f"项目{filename_without_suffix}移动成功!")
 except Exception as e:
 print("部署失败,错误原因:", str(e.args))
Copy after login

obj2 is responsible for monitoring the /home/project/frontend directory, and also rewrites the "New or Modified" event method to complete the decompression of the compressed file. Action:

...
 def start(self, filename):
 # 文件名不带后缀
 filename_without_suffix = filename.split(".")[0]
 # 目标文件路径(压缩包文件)
 target_file_path = target_folder + filename
 # 目标项目文件夹(目标项目)
 target_project_path = target_folder + filename_without_suffix
 r = zipfile.is_zipfile(target_file_path)
 if r:
 fz = zipfile.ZipFile(target_file_path, 'r')
 for file in fz.namelist():
 fz.extract(file, target_folder)
 else:
 print('这不是一个正常的zip压缩包!')
...
Copy after login

Then, start the listening tasks of the above two events through the listener

import time
...
if __name__ == "__main__":
 # 待监听的文件夹目录
 watch_folder = "/tmp/"
 # 项目目标文件夹目录
 target_folder = "/home/project/frontend/"
 # 监听文件夹名称,即:项目压缩包名称
 watch_tags = ['proj1.zip', 'proj2.zip', 'proj3.zip', 'proj4.zip']
 # 创建一个监听器,用来监听文件夹目录
 observer = Observer()
 # 创建两个事件处理对象
 move_handler = FileMoveHandler()
 unzip_handler = FileUnzipHandler()
 # 启动监控任务
 # 参数分别是:观察者、监听目录、是否监听子目录
 observer.schedule(move_handler, watch_folder, True)
 observer.schedule(unzip_handler, target_folder, True)
 observer.start()
 try:
 while True:
 time.sleep(1)
 except KeyboardInterrupt:
 observer.stop()
 observer.join()
...
Copy after login

Finally, we pass the "nohup" command on the server to let the file listening program run in the background

# 在后台运行
# 项目文件:watch_folder.py
# 日志文件:watch_folder.log
nohup python3 -u watch_folder.py > watch_folder.log 2>&1 &
# 查看日志:
cat watch_folder.log
Copy after login

3. Summary

Through the above operations, every time I upload the front-end zip compressed project file to the /tmp directory of the application server through the bastion machine, the program will automatically perform the following operations , automatically complete application deployment.

The above is the detailed content of Practical combat: How to use Python to automatically monitor folders to complete service deployment. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Chat Commands and How to Use Them
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PHP and Python: Code Examples and Comparison PHP and Python: Code Examples and Comparison Apr 15, 2025 am 12:07 AM

PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

How to train PyTorch model on CentOS How to train PyTorch model on CentOS Apr 14, 2025 pm 03:03 PM

Efficient training of PyTorch models on CentOS systems requires steps, and this article will provide detailed guides. 1. Environment preparation: Python and dependency installation: CentOS system usually preinstalls Python, but the version may be older. It is recommended to use yum or dnf to install Python 3 and upgrade pip: sudoyumupdatepython3 (or sudodnfupdatepython3), pip3install--upgradepip. CUDA and cuDNN (GPU acceleration): If you use NVIDIAGPU, you need to install CUDATool

How is the GPU support for PyTorch on CentOS How is the GPU support for PyTorch on CentOS Apr 14, 2025 pm 06:48 PM

Enable PyTorch GPU acceleration on CentOS system requires the installation of CUDA, cuDNN and GPU versions of PyTorch. The following steps will guide you through the process: CUDA and cuDNN installation determine CUDA version compatibility: Use the nvidia-smi command to view the CUDA version supported by your NVIDIA graphics card. For example, your MX450 graphics card may support CUDA11.1 or higher. Download and install CUDAToolkit: Visit the official website of NVIDIACUDAToolkit and download and install the corresponding version according to the highest CUDA version supported by your graphics card. Install cuDNN library:

Detailed explanation of docker principle Detailed explanation of docker principle Apr 14, 2025 pm 11:57 PM

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

Python vs. JavaScript: Community, Libraries, and Resources Python vs. JavaScript: Community, Libraries, and Resources Apr 15, 2025 am 12:16 AM

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

How to choose the PyTorch version under CentOS How to choose the PyTorch version under CentOS Apr 14, 2025 pm 02:51 PM

When selecting a PyTorch version under CentOS, the following key factors need to be considered: 1. CUDA version compatibility GPU support: If you have NVIDIA GPU and want to utilize GPU acceleration, you need to choose PyTorch that supports the corresponding CUDA version. You can view the CUDA version supported by running the nvidia-smi command. CPU version: If you don't have a GPU or don't want to use a GPU, you can choose a CPU version of PyTorch. 2. Python version PyTorch

How to operate distributed training of PyTorch on CentOS How to operate distributed training of PyTorch on CentOS Apr 14, 2025 pm 06:36 PM

PyTorch distributed training on CentOS system requires the following steps: PyTorch installation: The premise is that Python and pip are installed in CentOS system. Depending on your CUDA version, get the appropriate installation command from the PyTorch official website. For CPU-only training, you can use the following command: pipinstalltorchtorchvisiontorchaudio If you need GPU support, make sure that the corresponding version of CUDA and cuDNN are installed and use the corresponding PyTorch version for installation. Distributed environment configuration: Distributed training usually requires multiple machines or single-machine multiple GPUs. Place

How to install nginx in centos How to install nginx in centos Apr 14, 2025 pm 08:06 PM

CentOS Installing Nginx requires following the following steps: Installing dependencies such as development tools, pcre-devel, and openssl-devel. Download the Nginx source code package, unzip it and compile and install it, and specify the installation path as /usr/local/nginx. Create Nginx users and user groups and set permissions. Modify the configuration file nginx.conf, and configure the listening port and domain name/IP address. Start the Nginx service. Common errors need to be paid attention to, such as dependency issues, port conflicts, and configuration file errors. Performance optimization needs to be adjusted according to the specific situation, such as turning on cache and adjusting the number of worker processes.

See all articles