In the same way that you can use Domino to create compute environments to meet your specific language and package needs, use this functionality to define web-based tools inside your compute environment. This work is typically done by an administrator or advanced Domino user. We suggest you reach out to your admin for help with defining the tool you wish to use.
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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
Configuring a tool in an environment involves two parts: giving the environment’s docker image installation instructions, and defining how Domino will serve up that tool.
Dockerfile instructions
In your environment, enter the instructions to install and configure a tool in the Dockerfile instructions:
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
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/*
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/*
Properties
Notebook properties are stored as YAML data mapping notebook names to their definitions. Enter this in the Properties for Notebooks field in the Environment definition.
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