Use Domino to define web-based tools to meet your needs in your compute environment. Typically, an administrator or advanced user does this work. Domino recommends that you contact your administrator for help defining the tool you want to use.
When you add a workspace IDE to your compute environment, you can:
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Upgrade to a newer version of currently supported Domino tools such as Jupyter or RStudio.
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Add new web-based tools like JupyterLab.
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Manage the standard default tool for your team or organization across all projects.
You must set up the environment’s Docker image installation instructions, and define Domino will serve the tool.
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In your environment, enter the instructions to install and configure a tool in the Dockerfile instructions: For Python version > 2.7.9
USER root ###Remove any old workspaces RUN \ apt-get remove rstudio-server -y && \ rm -rf /usr/local/lib/rstudio-server/rstudio-server && \ rm -rf /var/opt/workspaces ###Setup workspaces directory and retrieve workspace configs RUN mkdir /var/opt/workspaces RUN cd /tmp && wget https://github.com/dominodatalab/workspace-configs/archive/2018q2-v1.9.zip && unzip 2018q2-v1.9.zip && cp -Rf workspace-configs-2018q2-v1.9/. /var/opt/workspaces && \ rm -rf /var/opt/workspaces/workspace-logos && rm -rf /tmp/workspace-configs-2018q2-v1.9 #add update .Rprofile with Domino customizations RUN \ mv /var/opt/workspaces/rstudio/.Rprofile /home/ubuntu/.Rprofile && \ chown ubuntu:ubuntu /home/ubuntu/.Rprofile # # # #Install Rstudio from workspaces RUN chmod +x /var/opt/workspaces/rstudio/install RUN /var/opt/workspaces/rstudio/install # # # # # #Install Jupyterlab from workspaces RUN chmod +x /var/opt/workspaces/Jupyterlab/install RUN /var/opt/workspaces/Jupyterlab/install # # #Install Jupyter from workspaces RUN chmod +x /var/opt/workspaces/jupyter/install RUN /var/opt/workspaces/jupyter/install # Clean up temporary files RUN \ rm -Rf /var/lib/apt/lists/* && \ rm -Rf /tmp/* USER rootFor Python version < 2.7.9
###Remove any old workspaces RUN \ apt-get remove rstudio-server -y && \ rm -rf /usr/local/lib/rstudio-server/rstudio-server && \ rm -rf /var/opt/workspaces ###Setup workspaces directory and retrieve workspace configs RUN mkdir /var/opt/workspaces RUN cd /tmp && wget https://github.com/dominodatalab/workspace-configs/archive/2018q2-v1.9.zip && unzip 2018q2-v1.9.zip && cp -Rf workspace-configs-2018q2-v1.9/. /var/opt/workspaces && \ rm -rf /var/opt/workspaces/workspace-logos && rm -rf /tmp/workspace-configs-2018q2-v1.9 #add update .Rprofile with Domino customizations RUN \ mv /var/opt/workspaces/rstudio/.Rprofile /home/ubuntu/.Rprofile && \ chown ubuntu:ubuntu /home/ubuntu/.Rprofile # # # #Install Rstudio from workspaces RUN chmod +x /var/opt/workspaces/rstudio/install RUN /var/opt/workspaces/rstudio/install # # # # # #Install Jupyterlab from workspaces (pinned to avoid working directory bug in Jupyterlab) RUN pip install jupyterlab==0.31.12 # # #Install Jupyter from workspaces RUN chmod +x /var/opt/workspaces/jupyter/install RUN /var/opt/workspaces/jupyter/install # Clean up temporary files RUN \ rm -Rf /var/lib/apt/lists/* && \ rm -Rf /tmp/* -
Notebook properties are stored as
yamldata mapping notebook names to their definitions. Enter this in the Pluggable Workspace Tools field in the Environment definition.For example:
jupyter: title: "Jupyter (Python, R, Julia)" iconUrl: "/assets/images/workspace-logos/Jupyter.svg" start: [ "/var/opt/workspaces/jupyter/start" ] httpProxy: port: 8888 rewrite: false internalPath: "/{{ownerUsername}}/{{projectName}}/{{sessionPathComponent}}/{{runId}}/{{#if pathToOpen}}tree/{{pathToOpen}}{{/if}}" requireSubdomain: false supportedFileExtensions: [ ".ipynb" ] jupyterlab: title: "JupyterLab" iconUrl: "/assets/images/workspace-logos/jupyterlab.svg" start: [ /var/opt/workspaces/Jupyterlab/start.sh ] httpProxy: internalPath: "/{{ownerUsername}}/{{projectName}}/{{sessionPathComponent}}/{{runId}}/{{#if pathToOpen}}tree/{{pathToOpen}}{{/if}}" port: 8888 rewrite: false requireSubdomain: false vscode: title: "vscode" iconUrl: "/assets/images/workspace-logos/vscode.svg" start: [ "/var/opt/workspaces/vscode/start" ] httpProxy: port: 8888 requireSubdomain: false rstudio: title: "RStudio" iconUrl: "/assets/images/workspace-logos/Rstudio.svg" start: [ "/var/opt/workspaces/rstudio/start" ] httpProxy: port: 8888 requireSubdomain: false
To install workspace IDEs not mentioned here into your environment:
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Install the tool into your environment. Start a workspace and use a terminal in the workspace to install the tool. While you do this, verify that your installation commands work before adding them to your Dockerfile.
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Define a start script for your new IDE. Starting in 4.6, start scripts live in
/opt/domino/workspacesby default. You can put your start script wherever you want, so it can be helpful to work on it in yourDOMINO_WORKING_DIRbefore making it a part of your environment’s Docker commands. -
Add a new field to your environment’s Pluggable Workspace Tools. Be sure the Start field matches the location of your start script.
See Open a VS Code Workspace for an example how to add Visual Studio code as a custom workspace tool.