使用docker部署django技术栈项目的方法步骤

ENTRYPOINT ["/bin/bash", "entrypoint.sh"]

web容器的其他文件：

compose/web/entrypoint.sh web容器的启动脚本，执行一些初始化或检测逻辑。
compose/web/gunicorn.conf gunicorn配置文件。
compose/web/gunicorn.sh gunicorn的启动脚本。

celery的Dockerfile:

FROM python:3.6
ENV PYTHONUNBUFFERED 1
RUN mkdir /code
WORKDIR /code
COPY ./requirements.txt /code/
COPY ./compose/celery/*.sh /code/
RUN pip install --no-cache-dir -r requirements.txt 
  && rm -rf requirements.txt && sh init_env.sh
COPY . /code/
COPY ./compose/celery/*.sh /code/
RUN sed -i 's/r//' celery.sh 
  && chmod +x celery.sh 
  && sed -i 's/r//' celery-beat.sh 
  && chmod +x celery-beat.sh

celery的其他文件：

compose/celery/celery.sh celery的启动脚本。
compose/celery/celery-beat.sh celery-beat的启动脚本。

编写Compose启动配置文件

docker-compose 配置如下：

version: '2'
services:
 redis:
  image: redis
  ports:
   - "6379:6379"
 db:
  restart: always
  image: mysql:5.7.19
  # command: --character-set-server=utf8mb4 --collation-server=utf8mb4_unicode_ci
  volumes:
   - ./compose/mysql/:/etc/mysql/conf.d
   - ./db:/var/lib/mysql
  # for test
  ports:
   - "127.0.0.1:3307:3306"
   # (HOST:CONTAINER)
  env_file:
   - .env
 web:
  # restart: always
  build:
   context: .
   dockerfile: ./compose/web/Dockerfile
  command: sh gunicorn.sh # ["/bin/bash", "gunicorn.sh"]  ports:
   - "8080:8002"
   # (HOST:CONTAINER)
  volumes:
   - ./logs:/var/logs/
   - ./collect_static:/code/collect_static
   - ./static:/code/static
   - ./templates:/code/templates
   - ./uploads:/code/uploads
  env_file: .env
  depends_on:
   - redis
   - db
 nginx:
  restart: always
  image: nginx:1.13.0
  volumes:
   - ./compose/nginx:/etc/nginx/conf.d/
   - ./staticfiles:/code/staticfiles
   - ./logs:/var/log/nginx
  ports:
   - "80:80"
   # (HOST:CONTAINER)
  depends_on:
   - web
 celery:
  build:
   context: .
   dockerfile: ./compose/celery/Dockerfile
  command: sh celery.sh
  volumes:
   - ./logs:/var/logs/
   - ./uploads:/code/uploads
  depends_on:
   - redis
   - db
  env_file: .env
 celery-beat:
  build:
   context: .
   dockerfile: ./compose/celery/Dockerfile
  command: sh celery-beat.sh
  volumes:
   - ./logs:/var/logs/
  depends_on:
   - redis
   - db
  env_file: .env

celery 的worker 和beat这里我们使用同一个镜像Dockerfile, 按照一个镜像一个进程的原则，启动两个容器来分别跑worker和beat进程。