如何运用docker配合python开发环境实例

# 参考命令
sudo wget -qO- https://get.docker.com/ | sh

├──fanxiangce
_docker
  ├── Dockerfile
  ├── Readme.md 
  └─fanxiangce
    └──app
    ├── manage.py            
      └── requirements
      ├── common.txt 

########################################################## 
# Dockerfile to run a flask-based web application# Based on an centos:7 image 
##########################################################
# Set the base image to use to centos 
FROM centos:7

# Set the file maintainer 
MAINTAINER jasonwang,wjs7740@163.com

# Set env varibles used in this Dockerfile (add a unique prefix, such as DOCKYARD) 
# Local directory with project source 
ENV DOCKYARD_SRC=fanxiangce

# Directory in Container for all project files 
ENV DOCKYARD_SRCHOME=/opt 
# Directory in container for project source files 
ENV DOCKYARD_SRCPROJ=/opt/fanxiangce

# Update the defualt application repository source list 
RUN yum -y install epel-release 
RUN yum -y install python-pip 
RUN yum clean all

# Copy application source code to SRCDIR 
COPY $DOCKYARD_SRC $DOCKYARD_SRCPROJ

# Create application subdirectories 
WORKDIR $DOCKYARD_SRCPROJ 
RUN mkdir log 
VOLUME ['$DOCKYARD_SRCPROJ/log/']

# Install Python dependencies 
RUN pip install --upgrade pip
RUN pip install -r $DOCKYARD_SRCPROJ/requirements/common.txt

# Port to expose 
EXPOSE 8000

# Copy entrypoint script into the image 
WORKDIR $DOCKYARD_SRCPROJ 

# 在Dockerfile同级目录下
sudo docker build -t jason/webdemo .

sudo docker images
sudo docker run -it --name webdemo -p 8000:8000 jason/webdemo /bin/bash

python manage.py runserver -p 8000

# 查看当前容器 
sudo docker ps -a
# 启动容器
docker start webdemo
# 进入容器
docker attach webdemo