


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!

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.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Dreamweaver Mac version
Visual web development tools

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

SublimeText3 English version
Recommended: Win version, supports code prompts!