Dockerfile构建python运⾏项⽬运⾏环境。

1、把容器内需要⽤到的⽂件全部复制到容器中

2、设置⼀个⼯作⽬录，把项⽬代码共享到⼯作⽬录中运⾏

3、把需要执⾏的shell命令写在⼀个.sh⽂件中，统⼀执⾏。因为Dockerfile 的指令每执⾏⼀次都会在 docker 上新建⼀层。所以过多⽆意

义的层，会造成镜像膨胀过⼤；RUN 是在 docker build执⾏脚本

4、配置容器启动⾃动执⾏脚本，CMD 在docker run 时运⾏运⾏脚本

DockerFile脚本

1# 基于镜像基础

FROM python:3.9.5

# 复制⽂件到容器中

ADD ./docker/pip.conf /root/.pip/pip.conf

ADD ./docker/sources.list /etc/apt/sources.list

ADD ./docker/openssl.cnf /etc/ssl/openssl.cnf

ADD ./docker/localtime /etc/localtime

ADD ./docker/requirements.txt /var/requirements.txt

ADD ./docker/startup.sh /var/startup.sh

ADD ./docker/install.sh /var/install.sh

# ⼯作⽬录 /var/app

WORKDIR /var/app

RUN /var/install.sh

CMD /var/startup.sh

环境⽂件解析

pip.conf

配置pip国内源，容器内⽂件路径：/root/.pip/pip.conf

[global]

index-url=https://mirrors.aliyun.com/pypi/simple/

sources.list

配置容器环境包下载的国内源，容器内⽂件路径：/etc/apt/sources.list

deb http://mirrors.aliyun.com/debian/ buster main non-free contrib

deb http://mirrors.aliyun.com/debian-security buster/updates main

deb http://mirrors.aliyun.com/debian/ buster-updates main non-free contrib

deb http://mirrors.aliyun.com/debian/ buster-backports main non-free contrib

deb-src http://mirrors.aliyun.com/debian-security buster/updates main

deb-src http://mirrors.aliyun.com/debian/ buster main non-free contrib

deb-src http://mirrors.aliyun.com/debian/ buster-updates main non-free contrib

deb-src http://mirrors.aliyun.com/debian/ buster-backports main non-free cont

openssl.cnf

处理ssl.SSLError: [SSL: DH_KEY_TOO_SMALL] dh key too small问题

容器内⽂件路径：/etc/ssl/openssl.cnf

修改⽂件参数即可

[system_default_sect]

MinProtocol = TLSv1.2

#CipherString = DEFAULT@SECLEVEL=2

CipherString = DEFAULT@SECLEVEL=1

localtime

同步系统时间到容器内，容器内⽂件路径：/etc/localtime

install.sh

构建容器时需要执⾏的shell命令

#!/bin/bash

set -e

apt update

apt install -y cron libsasl2-dev python-dev libldap2-dev libssl-dev nodejs

pip install --upgrade pip

pip install -r /var/requirements.txt

chmod -R 777 /var/startup.sh

startup.sh

容器启动时⾃动执⾏的脚本命令，⼀般是直接启动项⽬

#!/bin/bash

set -e

service cron start

pip install -r requirements.txt

python manage.py runserver 0.0.0.0:8000

docker镜像构建

准备好以上⽂件之后，在Dockerfile⽂件⽬录下执⾏⼀下命令构建镜像：

docker build -t image-nam