背景介绍
在之前的文章 - 交互式 .Net 中已经介绍了什么是交互式 .Net,文中是通过 Visual Studio Code 插件的方式实现交互式 .Net 的。现在,我们将使用容器的方式实现交互式 .Net。
镜像构建
1. Dockerfile
FROM mcr.microsoft.com/dotnet/sdk:6.0-focal ARG HTTP_PORT_RANGE=1100-1200 # Opt out of telemetry until after we install jupyter when building the image, this prevents caching of machine id ENV DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT=true # Install all OS dependencies for notebook server that starts but lacks all # features (e.g., download as all possible file formats) ENV DEBIAN_FRONTEND noninteractive RUN sed -i 's|https\?://[^/]\+/|http://mirrors.aliyun.com/|' /etc/apt/sources.list RUN apt-get update \ && apt-get install -yq --no-install-recommends \ wget \ bzip2 \ ca-certificates \ sudo \ locales \ fonts-liberation \ run-one \ python3.8 \ python3-pip \ && apt-get clean && rm -rf /var/lib/apt/lists/* RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && \ locale-gen RUN python3 -m pip install setuptools RUN python3 -m pip install jupyter RUN python3 -m pip install jupyterlab # Add package sources RUN dotnet nuget add source "https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-tools/nuget/v3/index.json" -n "dotnet-tools" RUN dotnet nuget add source "https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet6/nuget/v3/index.json" -n "dotnet6" RUN dotnet nuget add source "https://pkgs.dev.azure.com/dnceng/public/_packaging/MachineLearning/nuget/v3/index.json" -n "MachineLearning" # Install lastest build from master branch of Microsoft.DotNet.Interactive RUN dotnet tool install --tool-path /usr/share/dotnet-interactive Microsoft.dotnet-interactive --add-source "https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-tools/nuget/v3/index.json" RUN ln -s /usr/share/dotnet-interactive/dotnet-interactive /usr/bin/dotnet-interactive RUN dotnet interactive jupyter install --http-port-range ${HTTP_PORT_RANGE} # Enable telemetry once we install jupyter for the image ENV DOTNET_INTERACTIVE_CLI_TELEMETRY_OPTOUT=false EXPOSE 8888 EXPOSE ${HTTP_PORT_RANGE} RUN groupadd -g 1337 jupyter #RUN groupdel jupyter RUN mkdir notebooks WORKDIR notebooks ENV TOKEN '' ENTRYPOINT jupyter lab --ip=0.0.0.0 --allow-root --notebook-dir=/notebooks/ --ServerApp.token=${TOKEN}
2. 构建镜像
docker build -t dotnet-interactive:1.0.0 .
启动容器
执行以下指令启动容器:
docker run --name dotnet-interactive -d -e TOKEN=123456 -v /root/notebooks:/notebooks -p 80:8888 dotnet-interactive:1.0.0
指令解析:
使用介绍
1. 打开网页并登录
2. 新建 Notebook
3. 解析 Markdown
输入一段 markdown 内容,并选择 Markdown,使用热键 Alt+Enter 查看结果
4. 执行 C# 代码
输入一段 C# 代码,并选择 Code,使用热键 Alt+Enter 查看结果
5. 获取操作系统信息
6. 获取 .Net 版本
7. 获取 ipynb 文件
可以在宿主机的 /root/notebooks 路径下获取刚才操作的 ipynb 文件:
参考总结
以上就是本文希望分享的内容,其中 interactive 的 Github 地址为:https://github.com/dotnet/interactive
如果大家有什么问题,欢迎在文章或者在公众号 - 跬步之巅留言交流。