149 lines
5.4 KiB
Docker
149 lines
5.4 KiB
Docker
FROM python:3.10.8-slim-bullseye
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# debian:bullseye-20230109-slim
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ARG NB_USER="jovyan"
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ARG NB_UID="1000"
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ARG NB_GID="100"
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RUN apt-get update --yes && \
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# - apt-get upgrade is run to patch known vulnerabilities in apt-get packages as
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# the ubuntu base image is rebuilt too seldom sometimes (less than once a month)
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apt-get upgrade --yes && \
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apt-get install --yes --no-install-recommends \
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# - bzip2 is necessary to extract the micromamba executable.
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bzip2 \
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ca-certificates \
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locales \
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sudo \
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nano \
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build-essential \
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tini \
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wget && \
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apt-get clean && rm -rf /var/lib/apt/lists/* && \
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echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && \
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locale-gen
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# Configure environment
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ENV CONDA_DIR=/opt/conda \
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SHELL=/bin/bash \
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NB_USER="${NB_USER}" \
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NB_UID=${NB_UID} \
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NB_GID=${NB_GID} \
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LC_ALL=en_US.UTF-8 \
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LANG=en_US.UTF-8 \
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LANGUAGE=en_US.UTF-8
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ENV PATH="${CONDA_DIR}/bin:${PATH}" \
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HOME="/home/${NB_USER}"
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# Copy a script that we will use to correct permissions after running certain commands
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COPY fix-permissions /usr/local/bin/fix-permissions
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RUN chmod a+rx /usr/local/bin/fix-permissions
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# Enable prompt color in the skeleton .bashrc before creating the default NB_USER
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# hadolint ignore=SC2016
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RUN sed -i 's/^#force_color_prompt=yes/force_color_prompt=yes/' /etc/skel/.bashrc && \
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# Add call to conda init script see https://stackoverflow.com/a/58081608/4413446
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echo 'eval "$(command conda shell.bash hook 2> /dev/null)"' >> /etc/skel/.bashrc
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# Create NB_USER with name jovyan user with UID=1000 and in the 'users' group
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# and make sure these dirs are writable by the `users` group.
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RUN echo "auth requisite pam_deny.so" >> /etc/pam.d/su && \
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sed -i.bak -e 's/^%admin/#%admin/' /etc/sudoers && \
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sed -i.bak -e 's/^%sudo/#%sudo/' /etc/sudoers && \
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useradd -l -m -s /bin/bash -N -u "${NB_UID}" "${NB_USER}" && \
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mkdir -p "${CONDA_DIR}" && \
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chown "${NB_USER}:${NB_GID}" "${CONDA_DIR}" && \
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chmod g+w /etc/passwd && \
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fix-permissions "${HOME}" && \
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fix-permissions "${CONDA_DIR}"
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USER ${NB_UID}
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# Pin python version here, or set it to "default"
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ARG PYTHON_VERSION=3.10
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# Setup work directory for backward-compatibility
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RUN mkdir "/home/${NB_USER}/work" && \
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fix-permissions "/home/${NB_USER}"
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COPY --chown="${NB_UID}:${NB_GID}" initial-condarc "${CONDA_DIR}/.condarc"
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WORKDIR /tmp
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RUN set -x && \
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arch=$(uname -m) && \
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if [ "${arch}" = "x86_64" ]; then \
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# Should be simpler, see <https://github.com/mamba-org/mamba/issues/1437>
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arch="64"; \
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fi && \
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wget -qO /tmp/micromamba.tar.bz2 \
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"https://micromamba.snakepit.net/api/micromamba/linux-${arch}/latest" && \
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tar -xvjf /tmp/micromamba.tar.bz2 --strip-components=1 bin/micromamba && \
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rm /tmp/micromamba.tar.bz2 && \
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PYTHON_SPECIFIER="python=${PYTHON_VERSION}" && \
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if [[ "${PYTHON_VERSION}" == "default" ]]; then PYTHON_SPECIFIER="python"; fi && \
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# Install the packages
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./micromamba install \
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--root-prefix="${CONDA_DIR}" \
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--prefix="${CONDA_DIR}" \
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--yes \
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"${PYTHON_SPECIFIER}" \
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'mamba' \
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'jupyter_core' && \
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rm micromamba && \
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# Pin major.minor version of python
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mamba list python | grep '^python ' | tr -s ' ' | cut -d ' ' -f 1,2 >> "${CONDA_DIR}/conda-meta/pinned" && \
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mamba clean --all -f -y && \
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fix-permissions "${CONDA_DIR}" && \
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fix-permissions "/home/${NB_USER}"
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#RUN conda update --all --yes
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#RUN conda install -c conda-forge tensorflow-gpu=2.11 -y
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#RUN CONDA_CUDA_OVERRIDE="11.2" mamba install --yes -c conda-forge tensorflow==2.10.0=cuda112py310*
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ENV CONDA_CUDA_OVERRIDE="11.2"
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RUN nvidia-smi
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#RUN mamba install -y tensorflow cudatoolkit>=11.2 -c conda-forge
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#==2.11.0=cuda*
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RUN mamba install -y -c conda-forge tensorflow-gpu
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WORKDIR /tmp
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RUN mamba install --quiet --yes \
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'notebook' \
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'jupyterhub' \
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'jupyterlab' && \
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jupyter notebook --generate-config && \
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mamba clean --all -f -y && \
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npm cache clean --force && \
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jupyter lab clean && \
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rm -rf "/home/${NB_USER}/.cache/yarn" && \
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fix-permissions "${CONDA_DIR}" && \
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fix-permissions "/home/${NB_USER}"
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ENV JUPYTER_PORT=8888
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EXPOSE $JUPYTER_PORT
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# Configure container startup
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CMD ["start-notebook.sh"]
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# Copy local files as late as possible to avoid cache busting
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COPY start-notebook.sh start-singleuser.sh /usr/local/bin/
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# Currently need to have both jupyter_notebook_config and jupyter_server_config to support classic and lab
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COPY jupyter_server_config.py /etc/jupyter/
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# Fix permissions on /etc/jupyter as root
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USER root
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# Legacy for Jupyter Notebook Server, see: [#1205](https://github.com/jupyter/docker-stacks/issues/1205)
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RUN sed -re "s/c.ServerApp/c.NotebookApp/g" \
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/etc/jupyter/jupyter_server_config.py > /etc/jupyter/jupyter_notebook_config.py && \
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fix-permissions /etc/jupyter/
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# HEALTHCHECK documentation: https://docs.docker.com/engine/reference/builder/#healthcheck
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# This healtcheck works well for `lab`, `notebook`, `nbclassic`, `server` and `retro` jupyter commands
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# https://github.com/jupyter/docker-stacks/issues/915#issuecomment-1068528799
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HEALTHCHECK --interval=5s --timeout=3s --start-period=5s --retries=3 \
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CMD wget -O- --no-verbose --tries=1 --no-check-certificate \
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http${GEN_CERT:+s}://localhost:${JUPYTER_PORT}${JUPYTERHUB_SERVICE_PREFIX:-/}api || exit 1
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# Switch back to jovyan to avoid accidental container runs as root
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USER ${NB_UID}
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WORKDIR "${HOME}" |