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Docker部署用Python编写的Web应用的实践

目录

1. 安装 docker

在 WSL2 中安装 docker https://www.jb51.net/article/223179.htm

会报错:

# Executing docker install script, commit: 93d2499759296ac1f9c510605fef85052a2c32be

WSL DETECTED: We recommend using Docker Desktop for Windows.
Please get Docker Desktop from https://www.docker.com/products/docker-desktop


You may press Ctrl+C now to abort this script.
+ sleep 20

去下载安装 windows 下的 docker

在这里插入图片描述

在这里插入图片描述

2. 编写代码

使用 Flask 框架启动了一个 Web 服务器,而它唯一的功能是:如果当前环境中有 “NAME” 这个环境变量,就把它打印在 “Hello” 后,否则就打印 “Hello world”,最后再打印出当前环境的 hostname

import os
from flask import Flask 
import socket 
from gevent import pywsgi
app = Flask(__name__) 

@app.route('/') 
def hello(): 
    html = "

Hello {name}!

" \ "Hostname: {hostname}
" return html.format(name=os.getenv("NAME", "world"), hostname=socket.gethostname()) if __name__ == "__main__": server = pywsgi.WSGIServer(('0.0.0.0', 12345), app) server.serve_forever()

导出依赖包

pip freeze >requirements.txt
Flask==2.0.1
gevent==21.8.0
greenlet==1.1.1
itsdangerous==2.0.1
Jinja2==3.0.1
MarkupSafe==2.0.1
Werkzeug==2.0.1
zope.event==4.5.0
zope.interface==5.4.0

3. 编写 Dockerfile

# 使用官方提供的 Python 开发镜像作为基础镜像 
FROM python:3.8-slim 

# 将工作目录切换为 /app 
WORKDIR /app 

# 将当前目录下的所有内容复制到 /app 下 

ADD . /app

# 使用 pip 命令安装这个应用所需要的依赖 
# RUN pip install --trusted-host pypi.python.org -r requirements.txt 
RUN pip install --trusted-host https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt 
# 国内的源更快

# 允许外界访问容器的 12345 端口 
EXPOSE 12345 

# 设置环境变量 
ENV NAME World 

# 设置容器进程为:python app.py,即:这个 Python 应用的启动命令 
CMD ["python", "app.py"]
# CMD 前面 隐式的包含了 ENTRYPOINT , /bin/sh -c

在这里插入图片描述

在 WSL 里操作 :

让 docker 制作镜像,-t 加 tag,自动加载 Dockerfile,执行里面的语句

docker build -t helloworld .
[+] Building 17.4s (10/10) FINISHED
 => [internal] load build definition from Dockerfile                                                       0.1s
 => => transferring dockerfile: 757B                                                                       0.0s
 => [internal] load .dockerignore                                                                          0.1s
 => => transferring context: 2B                                                                            0.0s
 => [internal] load metadata for docker.io/library/python:3.8-slim                                         2.9s
 => [auth] library/python:pull token for registry-1.docker.io                                              0.0s
 => [1/4] FROM docker.io/library/python:3.8-slim@sha256:4dd66d1ccaddaa0587851cb92b365bf3090dccb41393c6f8b  0.0s
 => [internal] load build context                                                                          0.1s
 => => transferring context: 813B                                                                          0.0s
 => CACHED [2/4] WORKDIR /app                                                                              0.0s
 => [3/4] ADD . /app                                                                                       0.1s
 => [4/4] RUN pip install --trusted-host https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt     13.6s
 => exporting to image                                                                                     0.6s
 => => exporting layers                                                                                    0.6s
 => => writing image sha256:390d32b9f7a20ccd347361bd31450807d3e63d052e334865cf8460968ffceff4               0.0s
 => => naming to docker.io/library/helloworld                                                              0.0s

Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them

查看镜像

(k8s)PC:/mnt/d/gitcode/k8s$ docker image ls
REPOSITORY   TAG       IMAGE ID       CREATED              SIZE
helloworld   latest    390d32b9f7a2   About a minute ago   169MB

启动容器

docker run -p 4000:12345 helloworld

因为在 Dockerfile 中已经指定了 CMD。否则,就得把进程的启动命令加在后面 python app.py

查看容器启动

(base) $ docker ps
CONTAINER ID   IMAGE        COMMAND           CREATED         STATUS         PORTS                                         NAMES
f6e051d1af6b   helloworld   "python app.py"   2 minutes ago   Up 2 minutes   0.0.0.0:4000->12345/tcp, :::4000->12345/tcp   upbeat_elion

通过 -p 4000:12345 告诉 Docker,把容器内的 12345 端口映射在宿主机的 4000 端口上

这样做的目的是,只要访问宿主机的 4000 端口,就可以看到容器里应用 返回的结果

curl http://localhost:4000
# 

Hello World!

Hostname: dc1c1343e366

使用容器完成了一个应用的开发与测试

4. 上传镜像

注册 docker hub,docker login 命令登录

docker tag helloworld kobe24o/helloworld:v0

kobe24o 是账号名(镜像仓库),helloworld 镜像名,v0自己分配的版本号

docker push kobe24o/helloworld:v0
(k8s) $ docker push kobe24o/helloworld:v0
The push refers to repository [docker.io/kobe24o/helloworld]
931022d457d6: Pushing [================>                                  ]  16.07MB/47.27MB
c76dc68917fc: Pushed
047ca6dfe9ab: Pushed
d82f4c466b47: Mounted from library/python
5aa75f4e55e7: Mounted from library/python
74d6903a940b: Mounted from library/python
2f9c2b8e82bd: Mounted from library/python
ba5a5fe43301: Mounted from library/python

5. 修改镜像

(base) $ docker ps
CONTAINER ID   IMAGE        COMMAND           CREATED         STATUS         PORTS
           NAMES
dd3bf057cb09   helloworld   "python app.py"   7 seconds ago   Up 5 seconds   0.0.0.0:4000->12345/tcp, :::4000->12345/tcp   compassionate_carver

(base) $ docker exec -it dd3bf057cb09 /bin/sh
# pwd
/app
# touch newfile.txt
# ls
Dockerfile  app.py  newfile.txt  requirements.txt
# exit

(base) $ docker commit dd3bf057cb09 kobe24o/helloworld:v1
sha256:ca8880f84040f9bdd7ef13763b9c64f8bd4a513a74bc2b095be06aae5b60268a

上面操作,新加了一个文件到镜像里,commit 保存

docker inspect --format '{{ .State.Pid}}' dd3bf057cb09
1763
# 查看正在运行的容器的进程号 PID 

通过查看宿主机的 proc 文件,看到这个 进程的所有 Namespace 对应的文件

root:/# ls -l /proc/{PID}/ns/
total 0
lrwxrwxrwx 1 root root 0 Sep 14 11:15 cgroup -> 'cgroup:[4026531835]'
lrwxrwxrwx 1 root root 0 Sep 14 11:15 ipc -> 'ipc:[4026532220]'
lrwxrwxrwx 1 root root 0 Sep 14 09:49 mnt -> 'mnt:[4026532218]'
lrwxrwxrwx 1 root root 0 Sep 14 11:15 net -> 'net:[4026531992]'
lrwxrwxrwx 1 root root 0 Sep 14 11:15 pid -> 'pid:[4026532221]'
lrwxrwxrwx 1 root root 0 Sep 14 11:15 pid_for_children -> 'pid:[4026532221]'
lrwxrwxrwx 1 root root 0 Sep 14 11:15 user -> 'user:[4026531837]'
lrwxrwxrwx 1 root root 0 Sep 14 11:15 uts -> 'uts:[4026532219]'

一个进程,可以选择 加入 到某个进程已有的 Namespace 当中,从而达到 “进入” 这个进程所在容器的目的,这正是 docker exec 的实现原理

push 到 hub

(base) $ docker push kobe24o/helloworld:v1
The push refers to repository [docker.io/kobe24o/helloworld]
dfee38b42dbb: Pushed
931022d457d6: Layer already exists
c76dc68917fc: Layer already exists
047ca6dfe9ab: Layer already exists
d82f4c466b47: Layer already exists
5aa75f4e55e7: Layer already exists
74d6903a940b: Layer already exists
2f9c2b8e82bd: Layer already exists
ba5a5fe43301: Layer already exists
v1: digest: sha256:7af7ff571ea9fd70d48abeaa2b38a1ed1c1a4e5a933b722d82af25d3e889f84e size: 2206

到此这篇关于Docker部署用Python编写的Web应用的文章就介绍到这了,更多相关Docker部署Python Web应用内容请搜索潘少俊衡以前的文章或继续浏览下面的相关文章希望大家以后多多支持潘少俊衡!

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