需要安装gunicorn gevent
**注意!**这个模块虽然在win上可以使用pip进行安装,但是在win上是无法使用的,在linux环境下才可以使用!
使用Vscode自动生成Dockerfile
Dockerfile# For more information, please refer to https://aka.ms/vscode-docker-python FROM python:3.8-slim EXPOSE 5002 # Keeps Python from generating .pyc files in the container ENV PYTHONDONTWRITEBYTECODE=1 # Turns off buffering for easier container logging ENV PYTHONUNBUFFERED=1 # 复制模块安装文件到目录中 COPY requirements.txt . #换清华源 RUN python -m pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple #设置工作目录 WORKDIR /app #复制所有文件到工作目录 COPY . /app # Creates a non-root user with an explicit UID and adds permission to access the /app folder # For more info, please refer to https://aka.ms/vscode-docker-python-configure-containers RUN adduser -u 5678 --disabled-password --gecos "" appuser && chown -R appuser /app USER appuser # During debugging, this entry point will be overridden. For more information, please refer to https://aka.ms/vscode-docker-python-debug # 使用gunicorn启动项目在5002上 CMD ["gunicorn", "--bind", "0.0.0.0:5002", "wanAlert:app"]
将Dockerfile和项目文件都复制到同一目录下后
bash[root@localhost flask]# docker build -t flask_app .
#查看镜像文件
[root@localhost flask]# docker images
#运行下看一下是否有错误
[root@localhost flask]# docker run <imageName>
#登入docker hub准备进行上传
[root@localhost flask]# docker login -uname -p
#上传至服务器
[root@localhost flask]# docker push <imageName>
#到正式服务器上后先登录 后pull下来,然后运行
[root@it-monitoring flask]$ docker run -d -p5000:5002 <imageName>