85 lines
3.3 KiB
Docker
85 lines
3.3 KiB
Docker
#
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# NOTE: Use the Makefiles to build this image correctly.
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#
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ARG BASE_IMG=<codeserver>
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FROM $BASE_IMG
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ARG TARGETARCH
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USER root
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# args - software versions
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# https://open-vsx.org/extension/ms-python/python
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# https://open-vsx.org/extension/ms-toolsai/jupyter
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# https://github.com/ipython/ipykernel/releases
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ARG CODESERVER_PYTHON_VERSION=2025.0.0
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ARG CODESERVER_JUPYTER_VERSION=2024.11.0
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ARG IPYKERNEL_VERSION=6.29.5
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ARG MINIFORGE_VERSION=24.11.3-0
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ARG PIP_VERSION=24.3.1
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ARG PYTHON_VERSION=3.11.11
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# setup environment for conda
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ENV CONDA_DIR /opt/conda
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ENV PATH "${CONDA_DIR}/bin:${PATH}"
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RUN mkdir -pv ${CONDA_DIR} \
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&& chmod 2775 ${CONDA_DIR} \
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&& echo ". /opt/conda/etc/profile.d/conda.sh" >> ${HOME}/.bashrc \
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&& echo ". /opt/conda/etc/profile.d/conda.sh" >> /etc/profile \
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&& echo "conda activate base" >> ${HOME}/.bashrc \
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&& echo "conda activate base" >> /etc/profile \
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&& chown -R ${NB_USER}:${NB_GID} ${CONDA_DIR} \
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&& chown -R ${NB_USER}:${USERS_GID} ${HOME}
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USER $NB_UID
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# install - conda, pip, python
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RUN case "${TARGETARCH}" in \
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amd64) MINIFORGE_ARCH="x86_64" ;; \
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arm64) MINIFORGE_ARCH="aarch64" ;; \
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ppc64le) MINIFORGE_ARCH="ppc64le" ;; \
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*) echo "Unsupported architecture: ${TARGETARCH}"; exit 1 ;; \
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esac \
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&& curl -fsSL "https://github.com/conda-forge/miniforge/releases/download/${MINIFORGE_VERSION}/Miniforge3-${MINIFORGE_VERSION}-Linux-${MINIFORGE_ARCH}.sh" -o /tmp/Miniforge3.sh \
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&& curl -fsSL "https://github.com/conda-forge/miniforge/releases/download/${MINIFORGE_VERSION}/Miniforge3-${MINIFORGE_VERSION}-Linux-${MINIFORGE_ARCH}.sh.sha256" -o /tmp/Miniforge3.sh.sha256 \
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&& echo "$(cat /tmp/Miniforge3.sh.sha256 | awk '{ print $1; }') /tmp/Miniforge3.sh" | sha256sum -c - \
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&& rm /tmp/Miniforge3.sh.sha256 \
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&& /bin/bash /tmp/Miniforge3.sh -b -f -p ${CONDA_DIR} \
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&& rm /tmp/Miniforge3.sh \
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&& conda config --system --set auto_update_conda false \
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&& conda config --system --set show_channel_urls true \
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&& echo "python ==${PYTHON_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned \
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&& conda install -y -q \
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python=${PYTHON_VERSION} \
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pip=${PIP_VERSION} \
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&& conda update -y -q --all \
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&& conda clean -a -f -y
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# install - ipykernel
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# NOTE: we need this for jupyter codeserver extension to work
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RUN echo "ipykernel ==${IPYKERNEL_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned \
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&& conda install -y -q \
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ipykernel==${IPYKERNEL_VERSION} \
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&& conda clean -a -f -y
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# install - requirements.txt
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COPY --chown=${NB_USER}:${NB_GID} requirements.txt /tmp
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RUN python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir \
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&& rm -f /tmp/requirements.txt
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# install - codeserver extensions
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RUN code-server --install-extension "ms-python.python@${CODESERVER_PYTHON_VERSION}" --force \
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&& code-server --install-extension "ms-toolsai.jupyter@${CODESERVER_JUPYTER_VERSION}" --force \
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&& code-server --list-extensions --show-versions
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# home - pre-populate home with files for this image
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COPY --chown=${NB_USER}:${NB_GID} home/. ${HOME}/
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# s6 - 01-copy-tmp-home
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# NOTE: the contents of $HOME_TMP are copied to $HOME at runtime
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# this is a workaround because a PVC will be mounted at $HOME
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# and the contents of $HOME will be hidden
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RUN cp -p -r -T "${HOME}" "${HOME_TMP}" \
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# give group same access as user (needed for OpenShift)
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&& chmod -R g=u "${HOME_TMP}" |