


Detailed explanation of how to automatically generate docker nginx reverse proxy configuration using python
由于在测试环境上用docker部署了多个应用,而且他们的端口有的相同,有的又不相同,数量也比较多,在使用jenkins发版本的时候,不好配置,于是想要写一个脚本,能在docker 容器创建、停止的时候,自动生成nginx反向代理,然后reload nginx
我的原则是尽量简单,轻量,内存占用少
目标很明确,只要能监听到docker的容器启动/停止事件,即可
网上查了一下可以用docker events来监听docker事件,试了一下,发现基本可以满足,于是用python写了一段程序,用来监听docker事件
python
#!/usr/bin/python# coding: utf8import osimport jsonimport reimport subprocessdef override(path, text): if not os.path.exists(path) and os.path.exists(path+"_temp"): os.rename(path+"_temp",path) fw = open(path+"_temp", 'wb') fw.write(text) fw.close() if os.path.exists(path): os.remove(path) os.rename(path+"_temp", path)def read(path): try: fr = open(path, "rb") except IOError: print "The file don't exist, Please double check!" return lines = fr.readlines() ret = '' for line in lines: ret += line return retdef read_jsonfile(path): return json.loads(read(path))def cmd(command): return os.popen(command).read()def get_name(container): return cmd("docker inspect -f '{{.Name}}' " + container).replace("/", "").replace('\n', '')def get_ip(container): return cmd("docker inspect -f '{{.NetworkSettings.IPAddress}}' " + container).replace('\n', '')def get_port(container): return cmd("docker inspect -f '{{.Config.ExposedPorts}}' " + container).replace('/tcp:{}]', '').replace('map[', '').replace('\n', '')def get_info(container): filename = "/var/lib/docker/containers/" + container + "/config.v2.json" config = read_jsonfile(filename) name = config['Name'].replace("/", "") port = config['Config']['ExposedPorts'].keys()[0].replace('/tcp', '') ip = cmd("docker inspect -f '{{.NetworkSettings.IPAddress}}' " + name) # ip = config['NetworkSettings']['Networks']['bridge']['IPAddress'] ret = {'name': name, 'port': port, 'ip': ip} return ret tpl = """ server { listen 80; server_name $name.test.com; location / { proxy_set_header X-Real-IP $remote_addr; proxy_set_header Host $http_host; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_pass http://$ip:$port; } } """def generate_conf(): print "generate_conf" out = cmd("docker ps | grep -v CONTAINER | awk '{print $1}'") containers = out.split("\n") servers = '' hosts = '' for con in containers: if con != '': name = get_name(con) ip = get_ip(con) port = get_port(con) print ip, port if len(port) >= 2: servers += tpl.replace("$name", name).replace("$ip", ip).replace("$port", port) hosts += "11.12.13.14 " + name + ".test.com\n" override('/usr/local/openresty/nginx/conf/vhost.conf', servers) override('/usr/local/openresty/nginx/html/vhost.html', "<pre class="brush:php;toolbar:false">" + hosts + "")def reload_nginx(): print "reload nginx" cmd('nginx -s reload')def auto_reload(): generate_conf() reload_nginx()print " ==================== docker events ==================== "# auto_reload()proc = subprocess.Popen(["docker", "events"], # shell=True, # windows: true, linux: false stdout=subprocess.PIPE)while 1: out = proc.stdout.readline() event = re.sub('\(|\)', "", out).split(" ") if out.find('container stop') != -1: auto_reload() print ' container stop ' elif out.find('container start') != -1: auto_reload() print ' start container ' if out == '': print "out " break
启动命令:
nohup ./docker.py > /dev/null 2>&1 &
程序会在后台运行,断开ssh也不会结束
主要就是生成一个 conf 文件,这个文件要在nginx.conf里面引入,然后每次有容器启动/停止都生成这个文件,然后重启nginx,我这了还把容器名加上一个域名,组合成了一个子域名,然后把对应的映射关系生成了一个html文件,通过浏览器可以访问这个文件,然后把对应的代码 复制到本机的 hosts 文件里面,可以实现通过域名访问应用,当然只是开发测试的时候会这么做,但是也足够了。
The above is the detailed content of Detailed explanation of how to automatically generate docker nginx reverse proxy configuration using python. 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 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.

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 originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

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.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

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.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
