Caution
|
This is an advanced topic to assist with customizing images for use in Domino without using the automatic compatibility feature. |
When you create an Environment with the automatic compatibility feature selected, Domino adds several Dockerfile commands so that the custom images can launch Job and Workspace containers.
At a high level, these instructions perform the following actions:
-
Create a non-root Domino user.
-
Install
sudo
andcurl
.For these images to work in Domino, you must have
Sudo
andcurl
installations.curl
transfers data. Usesudo
to install additional packages and libraries in the container, depending on the permissions set up by your Domino administrator. -
Add an isolated directory,
/opt/domino/
, with the tools required to run Domino Workspaces.
-
Use the following Dockerfile instructions to replicate these steps when building a custom image.
# Ensure you are injecting as the root user USER root # Add a Domino user and group ID ARG DOMINO_USER='domino' ARG DOMINO_GROUP='domino' # The variable names that can be used in generation of Environment scripts ARG ALLENV="$INSTALL_DIR,$INSTALL_BIN,$CONDA_DIR,$DOMINO_UID,$DOMINO_GID,$DOMINO_USER,$DOMINO_GROUP,$VSCODE_DIR,$VSCODE_EXT_DIR" RUN groupadd -g 12574 ${DOMINO_GROUP} && useradd -u 12574 -g 12574 -m -N -s /bin/bash ${DOMINO_USER}; # Install common dependencies for the compiler and setting things up ARG INSTALL_DIR=/opt/domino ARG INSTALL_BIN=${INSTALL_DIR}/bin ARG CONDA_DIR=${INSTALL_DIR}/conda RUN apt-get update && apt-get -y install build-essential gettext-base gnupg && apt-get clean && rm -rf /var/lib/apt/lists/* && mkdir -p ${INSTALL_DIR} ${INSTALL_BIN} ${CONDA_DIR} # Recommended: Add domino user account to sudoers RUN echo "${DOMINO_USER} ALL=NOPASSWD: ALL" >> /etc/sudoers # Set to a Domino supported language to prevent unrecognized character input RUN echo "export LANG=${LANG}" >> /home/${DOMINO_USER}/.domino-defaults && echo "export LC_ALL=${LANG}" >> /home/${DOMINO_USER}/.domino-defaults && # Needed for proper filename handling in python echo 'export PYTHONIOENCODING=utf-8' >> /home/${DOMINO_USER}/.domino-defaults && chown -R ${DOMINO_USER}.${DOMINO_GROUP} "/home/${DOMINO_USER}" # load Domino defaults RUN if [ -f /home/${DOMINO_USER}/.domino-defaults ]; then echo "source /home/${DOMINO_USER}/.domino-defaults" >> /home/${DOMINO_USER}/.bashrc; fi # Install Sudo and Curl # Note that this will only work with Debian and Ubuntu RUN apt update && apt install -y --no-install-recommends curl sudo # clean up apt-get clean && rm -rf /var/lib/apt/lists/*
-
If you want JupyterLab or any IDE in this workspace, define a start script for each. See Replace Default Environment Tools for an example. These start scripts are stored in
/opt/domino/workspaces
by default. -
Add a new field to your Environment’s Pluggable Workspace Tools for the associated tool and set the start field to the location of your start script.
If you want to use JupyterLab in a Domino workspace that uses a custom image, use the following instructions to install with miniconda
.
The commands to install Tensorboard are included, and the comments indicate which lines to remove if you do not need Tensorboard in your image.
# Install JupyterLab and Tensorboard using Conda
# A proper combination of these versions is important!
ARG CONDA_URL=https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
ARG PYTHON_VERSION=3.9
ARG JUPYTER_VERSION=2.3
# remove the following line if you are not installing Tensorboard:
ARG TENSORBOARD_VERSION=2.2
# You must create a start script with configurations for JupyterLab
ARG JUPYTER_SCRIPT=jupyterlab-start.sh
# Install Conda and Python
# (Download signature not available)
RUN
curl -o conda-install.sh -LSsf ${CONDA_URL} &&
/bin/bash conda-install.sh -fbp ${CONDA_DIR} &&
${CONDA_DIR}/bin/conda update -y --update-all &&
${CONDA_DIR}/bin/conda install -y python=${PYTHON_VERSION}
# Install NodeJS if installing Tensorboard
RUN
${CONDA_DIR}/bin/conda install -y nodejs &&
mkdir -p ${INSTALL_DIR}/node &&
ln -rs ${CONDA_DIR}/bin/node ${INSTALL_DIR}/node/ &&
ln -rs ${CONDA_DIR}/bin/npm ${INSTALL_DIR}/node/
# Install and configure Jupyterlab and extensions
RUN
${CONDA_DIR}/bin/conda install -y jupyterlab=${JUPYTER_VERSION} &&
# remove the following lines if you are not installing Tensorboard:
${CONDA_DIR}/bin/conda install -y tensorboard=${TENSORBOARD_VERSION} &&
${CONDA_DIR}/bin/conda install -y -c conda-forge jupytext &&
${CONDA_DIR}/bin/conda install -y nodejs &&
${CONDA_DIR}/bin/pip install jupyter_tensorboard &&
PATH=${CONDA_DIR}/bin ${CONDA_DIR}/bin/jupyter labextension install jupyterlab_tensorboard
# Create Juptyerlab workspace Environment scripts
RUN
envsubst "${ALLENV}" < ${JUPYTER_SCRIPT} > ${INSTALL_BIN}/${JUPYTER_SCRIPT} &&
chmod 755 ${INSTALL_BIN}/${JUPYTER_SCRIPT}
To use VS Code in a Domino workspace, add the following instructions.
# Install VS Code
#Set Versions
ARG VSCODE_VERSION=3.10.2
ARG VSCODE_URL=https://github.com/cdr/code-server/releases/download/v${VSCODE_VERSION}/code-server-${VSCODE_VERSION}-linux-amd64.tar.gz
ARG VSCODE_PYTHON_VERSION=2021.5.926500501
ARG VSCODE_PYTHON_URL=https://github.com/microsoft/vscode-python/releases/download/${VSCODE_PYTHON_VERSION}/ms-python-release.vsix
# Where it will be deployed
ARG VSCODE_DIR=${INSTALL_DIR}/vscode
ARG VSCODE_EXT_DIR=${VSCODE_DIR}/extensions
# You must create a start script with configurations for VS Code
ARG VSCODE_SCRIPT=vscode-start.sh
RUN
curl -LSsf ${VSCODE_URL} | tar -xz --no-same-permissions &&
mv -f code-server-${VSCODE_VERSION}-linux-amd64 ${VSCODE_DIR} &&
curl -o python.vsix -LSsf ${VSCODE_PYTHON_URL} &&
mkdir -p ${VSCODE_EXT_DIR} &&
${VSCODE_DIR}/bin/code-server
--install-extension python.vsix
--extensions-dir ${VSCODE_EXT_DIR}
# Create VS Code workspace Environment scripts
RUN
envsubst "${ALLENV}" < ${VSCODE_SCRIPT} > ${INSTALL_BIN}/${VSCODE_SCRIPT} &&
chmod 755 ${INSTALL_BIN}/${VSCODE_SCRIPT}