docker从下载到Python项目打包到容器中运行（解决下拉超时问题）

docker安装（如果第一步或者第二步没有成功，说明是你的镜像源有问题，私聊我获取镜像源）镜像位置_/etc/yum.repos.d/CentOS-Base.repo

sudo yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
sudo yum install docker-ce docker-ce-cli containerd.io
启动docker(如果无法启动，返回到/etc/yum.repos.d/目录下，把****docker****那个文件的改名字，最后一个.back删除，只保留前面的部分)

|----------------------------------------------------------|
| sudo systemctl start docker sudo systemctl enable docker |

测试docker

docker version

项目打包部署：

编写Python代码

|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| # app.py from flask import Flask app = Flask(name) @app.route('/') def hello_world(): return 'Hello, Docker!' if name == "main": app.run(host='0.0.0.0', port=5000) |

创建依赖文件（requirements.txt）

|--------------|
| flask==2.0.1 |

也可以使用命令行创建，命令行创建的依赖文件包含本地所有的安装包。

|--------------------------------|
| pip freeze > requirements.txt |

编写Dockerfile

文件名字就是Dockerfile

构建Docker镜像（my-python-app .）后面的'.'必须有，名字随便起。但是前提是要和Dockerfile文件同一目录下运行这条命令。

|---------------------------------|
| docker build -t my-python-app . |

5、运行容器

构建完成后，运行以下命令启动容器：

docker run -d -p 5000:5000 my-python-app

该命令将容器中的5000端口映射到本地主机的5000端口，你可以在浏览器中访问http://localhost:5000，查看应用是否成功运行，输出应为"Hello, Docker!"。

下拉超时构建

下拉报错：

|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [+] Building 856.8s (2/2) FINISHED docker:default => [internal] load build definition from Dockerfile 0.0s => => transferring dockerfile: 420B 0.0s => ERROR [internal] load metadata for docker.io/library/python:3.8 856.7s ------ > [internal] load metadata for docker.io/library/python:3.8: ------ Dockerfile:2 -------------------- 1 | # 使用官方Python 3.8镜像作为基础镜像 2 | >>> FROM python:3.8 3 | 4 | # 设置工作目录 -------------------- ERROR: failed to solve: python:3.8: failed to resolve source metadata for docker.io/library/python:3.8: failed to do request: Head "https://docker.registry.cyou/v2/library/python/manifests/3.8?ns=docker.io": read tcp 192.168.121.138:36942->172.64.107.134:443: read: connection reset by peer |

创建一个文件：

|----------------------------|
| vm /etc/docker/daemon.json |

构建链接

|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| { "registry-mirrors": [ "https://docker.registry.cyou/", "https://docker-cf.registry.cyou/", "https://dockercf.jsdelivr.fyi/", "https://docker.jsdelivr.fyi/", "https://dockertest.jsdelivr.fyi/", "https://mirror.aliyuncs.com/", "https://dockerproxy.com/", "https://mirror.baidubce.com/", "https://docker.m.daocloud.io/", "https://docker.nju.edu.cn/", "https://docker.mirrors.sjtug.sjtu.edu.cn/", "https://docker.mirrors.ustc.edu.cn/", "https://mirror.iscas.ac.cn/", "https://docker.rainbond.cc/", "https://jq794zz5.mirror.aliyuncs.com" ] } |

重启docker

|---------------------------------------------------------------------------------------------|
| # 重新加载配置 systemctl daemon-reload # 重启docker systemctl restart docker # 查看配置是否生效 docker info |

生效示例：

参考链接：

[1]=＞ ERROR [internal] load metadata for docker.io/library/alpine:3.13+vscode+python+docker+本地调试问题-CSDN博客

[2] 解决docker一直出现"=＞ ERROR [internal] load metadata for docker.io/library/xxx"的问题-CSDN博客

[3] Python项目打包并部署到Docker_python项目打包成docker-CSDN博客