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Merge pull request #2093 from Esri/jtroe/docker-2.4.0
update notebook image for v2.4.0
2 parents 95c166a + 2804bd3 commit 82bd732

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Diff for: docker/NotebookImage.Dockerfile

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@@ -1,30 +1,31 @@
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ARG python_version="3.11"
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FROM quay.io/jupyter/base-notebook:python-${python_version}
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FROM quay.io/jupyter/minimal-notebook:python-${python_version}
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ARG python_version
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ARG arcgis_version="2.3.1"
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ARG arcgis_version="2.4.0"
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ARG sampleslink="https://github.com/Esri/arcgis-python-api/releases/download/v${arcgis_version}/samples.zip"
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ARG githubfolder="arcgis-python-api"
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ENV DOCKER_STACKS_JUPYTER_CMD="notebook"
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ARG env_name=arcgis
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LABEL org.opencontainers.image.authors="jroebuck@esri.com"
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LABEL org.opencontainers.image.description="Jupyter Notebook with the latest version of the ArcGIS API for Python and its Linux dependencies preinstalled"
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LABEL org.opencontainers.image.description="Jupyter environment preconfigured for ArcGIS API for Python"
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LABEL org.opencontainers.image.licenses=Apache
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LABEL org.opencontainers.image.source=https://github.com/Esri/arcgis-python-api
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USER root
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RUN apt-get update --yes && \
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apt-get install --yes --no-install-recommends unzip && \
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apt-get clean && rm -rf /var/lib/apt/lists/*
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USER ${NB_UID}
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# Install Python API from Conda
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RUN conda install -c esri arcgis=${arcgis_version} -y \
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RUN conda create -n ${env_name} -c esri -c defaults arcgis=${arcgis_version} python=${python_version} -y --quiet --override-channels \
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&& conda clean --all -f -y \
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&& find /opt/conda -name __pycache__ -type d -exec rm -rf {} +
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# Install arcgis-mapping if arcgis_version >= 2.4.0
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RUN (dpkg --compare-versions $arcgis_version ge 2.4.0 \
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&& conda install -n ${env_name} -c esri -c defaults arcgis-mapping -y --quiet --override-channels \
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&& conda clean --all -f -y \
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&& find /opt/conda -name __pycache__ -type d -exec rm -rf {} +;) \
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|| echo "[INFO] Skipped installing arcgis-mapping for version $arcgis_version (>= 2.4.0 required for arcgis-mapping)"
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# Fetch and extract samples from GitHub
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RUN mkdir /home/${NB_USER}/$githubfolder && \
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wget -O samples.zip $sampleslink \
@@ -36,7 +37,34 @@ RUN mkdir /home/${NB_USER}/$githubfolder && \
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work/ \
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talks/ \
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environment.yml\
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# remove .DS_Store and __MACOSX from home directory:
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&& find /home/${NB_USER} -name ".DS_Store" -delete \
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&& rm -rf /home/${NB_USER}/__MACOSX \
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&& fix-permissions /home/${NB_USER}
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RUN rm /opt/conda/lib/python${python_version}/site-packages/notebook/static/base/images/logo.png
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COPY --chown=${NB_USER}:users jupyter_esri_logo.png /opt/conda/lib/python${python_version}/site-packages/notebook/static/base/images/logo.png
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# See https://jupyter-docker-stacks.readthedocs.io/en/latest/using/recipes.html#add-a-custom-conda-environment-and-jupyter-kernel
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# Create Python kernel and link it to jupyter
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RUN "${CONDA_DIR}/envs/${env_name}/bin/python" -m ipykernel install --user --name="${env_name}" && \
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fix-permissions "${CONDA_DIR}" && \
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fix-permissions "/home/${NB_USER}"
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# More information here: https://github.com/jupyter/docker-stacks/pull/2047
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USER root
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# Set DOCKER_STACKS_JUPYTER_CMD to "notebook" for versions less than 2.4.0
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RUN \
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(dpkg --compare-versions $arcgis_version lt 2.4.0 \
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&& echo 'DOCKER_STACKS_JUPYTER_CMD="notebook"' >> /etc/environment \
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&& echo "[INFO] Set DOCKER_STACKS_JUPYTER_CMD to notebook for arcgis < 2.4.0") \
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|| echo "[INFO] Using default DOCKER_STACKS_JUPYTER_CMD (lab) for arcgis >= 2.4.0"
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RUN \
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# This changes a startup hook, which will activate the custom environment for the process
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echo conda activate "${env_name}" >> /usr/local/bin/before-notebook.d/10activate-conda-env.sh && \
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# This makes the custom environment default in Jupyter Terminals for all users which might be created later
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echo conda activate "${env_name}" >> /etc/skel/.bashrc && \
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# This makes the custom environment default in Jupyter Terminals for already existing NB_USER
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echo conda activate "${env_name}" >> "/home/${NB_USER}/.bashrc"
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USER ${NB_UID}

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