如何使用Docker和.devcontainer.json在VSCode中启动jupyter实验室

p4rjhz4m  于 2023-06-05  发布在  Docker
关注(0)|答案(1)|浏览(204)

我试图在VSCode远程服务器中启动jupyter实验室,由Docker封装,但得到错误提示
无法启动内核Python 3.8.5 64位的会话。选择另一个要启动的内核。
我在workspace dir中设置了Dockerfile和.devcontainer.json。我是否还需要docker-compose.yaml文件用于jupyter实验室设置,如端口转发?或者我可以处理并将docker-compose文件替换为. devcontainer.json文件?
Dockerfile:

FROM python:3.8
RUN apt-get update --fix-missing && apt-get upgrade -y
# Set Japanese UTF-8 as locale so Japanese can be used
RUN apt-get install -y locales \
    && locale-gen ja_JP.UTF-8

ENV LANG ja_JP.UTF-8
ENV LANGUAGE ja_JP:ja
ENV LC_ALL ja_JP.UTF-8

# RUN apt-get install zsh -y && \
#     chsh -s /usr/bin/zsh

# Install zsh with theme and some plugins
RUN sh -c "$(wget -O- https://raw.githubusercontent.com/deluan/zsh-in-docker/master/zsh-in-docker.sh)" \
    -t mrtazz \
    -p git -p ssh-agent

RUN pip install jupyterlab
RUN jupyter serverextension enable --py jupyterlab

WORKDIR /app

CMD ["bash"]

.devcontainer.json

{
"name": "Python 3.8",
"build": {
    "dockerfile": "Dockerfile",
    "context": ".."

},

    // Uncomment to use docker-compose
    // "dockerComposeFile": "docker-compose.yml",
    // "service": "dev",

    // Set *default* container specific settings.json values on container create.
    "settings": {
        "terminal.integrated.shell.linux": "/bin/bash",
        "python.pythonPath": "/usr/local/bin/python",
        "python.linting.enabled": true,
        "python.linting.pylintEnabled": true,
        "python.formatting.autopep8Path": "/usr/local/py-utils/bin/autopep8",
        "python.formatting.blackPath": "/usr/local/py-utils/bin/black",
        "python.formatting.yapfPath": "/usr/local/py-utils/bin/yapf",
        "python.linting.banditPath": "/usr/local/py-utils/bin/bandit",
        "python.linting.flake8Path": "/usr/local/py-utils/bin/flake8",
        "python.linting.mypyPath": "/usr/local/py-utils/bin/mypy",
        "python.linting.pycodestylePath": "/usr/local/py-utils/bin/pycodestyle",
        "python.linting.pydocstylePath": "/usr/local/py-utils/bin/pydocstyle",
        "python.linting.pylintPath": "/usr/local/py-utils/bin/pylint"
    },
    // Add the IDs of extensions you want installed when the container is created.
    "extensions": [
        "ms-python.python",
        "teabyii.ayu",
        "jeff-hykin.better-dockerfile-syntax",
        "coenraads.bracket-pair-colorizer-2",
        "file-icons.file-icons",
        "emilast.logfilehighlighter",
        "zhuangtongfa.material-theme",
        "ibm.output-colorizer",
        "wayou.vscode-todo-highlight",
        "atishay-jain.all-autocomplete",
        "amazonwebservices.aws-toolkit-vscode",
        "hookyqr.beautify",
        "phplasma.csv-to-table",
        "alefragnani.bookmarks",
        "mrmlnc.vscode-duplicate",
        "tombonnike.vscode-status-bar-format-toggle",
        "donjayamanne.githistory",
        "codezombiech.gitignore",
        "eamodio.gitlens",
        "zainchen.json",
        "ritwickdey.liveserver",
        "yzhang.markdown-all-in-one",
        "pkief.markdown-checkbox",
        "shd101wyy.markdown-preview-enhanced",
        "ionutvmi.path-autocomplete",
        "esbenp.prettier-vscode",
        "diogonolasco.pyinit",
        "ms-python.vscode-pylance",
        "njpwerner.autodocstring",
        "kevinrose.vsc-python-indent",
        "mechatroner.rainbow-csv",
        "msrvida.vscode-sanddance",
        "rafamel.subtle-brackets",
        "formulahendry.terminal",
        "tyriar.terminal-tabs",
        "redhat.vscode-yaml"
    ],

    // Use 'forwardPorts' to make a list of ports inside the container available locally.
    "forwardPorts": [8888],

    // Use 'postCreateCommand' to run commands after the container is created.
    // "postCreateCommand": "pip3 install -r requirements.txt",

    // Comment out to connect as root instead.
    // "remoteUser": "myname",

    "shutdownAction": "none"
}
igetnqfo

igetnqfo1#

我相信这是VSCode的问题,而不是你的Docker容器的问题,我通过添加几个扩展来解决内核解析来运行它。
你可以尝试将这些扩展添加到你的devcontainer.json文件中吗?

"ms-toolsai.jupyter",
"ms-toolsai.vscode-jupyter-powertoys"

还请记住,devcontainer不是常规的Docker容器。

WORKDIR /app
CMD ["bash"]

然后用

ENV DEVCONTAINER=true

最后,这一行给了我错误:

RUN jupyter serverextension enable --py jupyterlab

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