Docker打包python flask服务

1、将宿主机上python环境保存到requirements.txt
pip3 freeze >requirements.txt


2、新建sources.list文件（apt的源文件）
sources.list具体内容如下：
$ vi sources.list

deb-src http://archive.ubuntu.com/ubuntu xenial main restricted #Added by software-properties
deb http://mirrors.aliyun.com/ubuntu/ xenial main restricted
deb-src http://mirrors.aliyun.com/ubuntu/ xenial main restricted multiverse universe #Added by software-properties
deb http://mirrors.aliyun.com/ubuntu/ xenial-updates main restricted
deb-src http://mirrors.aliyun.com/ubuntu/ xenial-updates main restricted multiverse universe #Added by software-properties
deb http://mirrors.aliyun.com/ubuntu/ xenial universe
deb http://mirrors.aliyun.com/ubuntu/ xenial-updates universe
deb http://mirrors.aliyun.com/ubuntu/ xenial multiverse
deb http://mirrors.aliyun.com/ubuntu/ xenial-updates multiverse
deb http://mirrors.aliyun.com/ubuntu/ xenial-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ xenial-backports main restricted universe multiverse #Added by software-properties
deb http://archive.canonical.com/ubuntu xenial partner
deb-src http://archive.canonical.com/ubuntu xenial partner
deb http://mirrors.aliyun.com/ubuntu/ xenial-security main restricted
deb-src http://mirrors.aliyun.com/ubuntu/ xenial-security main restricted multiverse universe #Added by software-properties
deb http://mirrors.aliyun.com/ubuntu/ xenial-security universe
deb http://mirrors.aliyun.com/ubuntu/ xenial-security multiverse


3、准备Dockerfile文件
# 指定所创建镜像的基础镜像
FROM nvidia/cuda:9.0-cudnn7-devel
LABEL author="gtmap"
#用ubuntu国内源替换默认源
RUN rm /etc/apt/sources.list
COPY sources.list /etc/apt/sources.list

WORKDIR /work_path //docker环境中工作路径
ADD . /workpath //将文件拷贝到docker中的文件夹下

RUN sed -i s@/archive.ubuntu.com/@/mirrors.aliyun.com/@g /etc/apt/sources.list
#RUN sed -i s@/http/@/https/@g /etc/apt/sources.list.d/cuda.list
#RUN sed -i s@/http/@/https/@g /etc/apt/sources.list.d/nvidia-ml.list
RUN sed -i s@/http/@/https/@g /etc/apt/sources.list
RUN sed -i s@/developer.download.nvidia.com/@/developer.download.nvidia.cn/@g /etc/apt/sources.list.d/cuda.list
RUN echo > /etc/apt/sources.list.d/nvidia-ml.list
RUN echo > /etc/apt/sources.list.d/cuda.list

RUN apt-get update && apt-get install wget

#安装python
RUN apt-get update --fix-missing && 
apt-get install vim 
python3-pip 
python3-dev 
python-opencv 
python3-tk 
libjpeg-dev 
libfreetype6 
libfreetype6-dev 
zlib1g-dev 
cmake 
cython 
git 
libxml2 
libxml2-dev 
libcups2-dev 
-y
# 更新pip
RUN python3 -m pip install --upgrade pip -i https://pypi.douban.com/simple

# 安装python依赖库
RUN python3 -m pip install -r requirements.txt -i https://pypi.douban.com/simple(这一步可以先不执行，再创建好镜像之后，再在镜像中安装)

# Add CUDA to the path
ENV PATH $PATH:/usr/local/cuda/bin
ENV LD_LIBRARY_PATH $LD_LIBRARY_PATH:/usr/local/cuda/lib64
ENV CUDA_HOME /usr/local/cuda
RUN ldconfig

# 设置docker容器中编码格式
ENV LANG C.UTF-8

# 声明镜像内服务监听的端口
EXPOSE 8888

# CMD为启动镜像后执行的脚本
CMD ["python", "manage.py"]


4、创建docker镜像文件
docker build -t hello . //-t 镜像名称 -f dockerfile文件路径 .代表Dockerfile在当前路径下


5、启动docker镜像文件
docker run -it -p 8888:8888 hello // 守护模式启动镜像hello


6、修改后保存镜像
docker commit -m "" -a "" 容器id 镜像源：版本
说明：-m 提交的说明
-a 提交的用户
举例:
docker commit -m '修改代码' -a 'gtmap' cb016b4263b6 target_identification:v2


7、保存镜像为tar包
docker save target_identification:v2 -o ./target_identification.tar