Dockerfile

ARG BASE_TAG=latest

FROM gcr.io/kaggle-images/rcran:${BASE_TAG}

ARG PYTHON_VERSION=3.10

ADD clean-layer.sh  /tmp/clean-layer.sh

# Install Python 
RUN apt-get install -y software-properties-common && \
    add-apt-repository ppa:deadsnakes/ppa -y && \
    apt-get update && \
    echo "MOD: python${PYTHON_VERSION}" && \
    apt-get install -y python${PYTHON_VERSION} && \
    ln -sf /usr/bin/python${PYTHON_VERSION} /usr/bin/python && \
    curl -sS https://bootstrap.pypa.io/get-pip.py | python && \
    /tmp/clean-layer.sh    

RUN apt-get update && \
    apt-get install -y libzmq3-dev default-jdk && \
    apt-get install -y python${PYTHON_VERSION}-dev python3-venv libcurl4-openssl-dev libssl-dev && \
    pip install jupyter pycurl && \
    # Install older tornado - https://github.com/jupyter/notebook/issues/4437
    pip install "tornado<6" && \
    pip install notebook && \
    pip install nbconvert && \
    R -e 'IRkernel::installspec()' && \
    # Build pyzmq from source instead of using a pre-built binary.
    yes | pip uninstall pyzmq && \
    pip install pyzmq --no-binary pyzmq && \
    cp -r /root/.local/share/jupyter/kernels/ir /usr/local/share/jupyter/kernels && \
    # Make sure Jupyter won't try to "migrate" its junk in a read-only container
    mkdir -p /root/.jupyter/kernels && \
    cp -r /root/.local/share/jupyter/kernels/ir /root/.jupyter/kernels && \
    touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
    # papermill can replace nbconvert for executing notebooks
    pip install papermill && \
    # b/276358430 fix Jupyter lsp freezing up the jupyter server
    pip install jupyterlab-lsp "jupyter-lsp==1.5.1" && \
    /tmp/clean-layer.sh

# Miniconda
ARG MINICONDA_PATH=/root/.local/share/r-miniconda
ARG ENV_NAME=r-reticulate
RUN R -e "reticulate::install_miniconda(path = \"${MINICONDA_PATH}\", update = TRUE, force = TRUE)"
RUN R -e "reticulate::conda_create(envname = \"${ENV_NAME}\", conda = \"auto\", required = TRUE, python_version = \"${PYTHON_VERSION}\")"
ENV RETICULATE_PYTHON="${MINICONDA_PATH}/envs/${ENV_NAME}/bin/python"

# Tensorflow and Keras
ARG TENSORFLOW_VERSION=2.12.0
RUN R -e "keras::install_keras(tensorflow = \"${TENSORFLOW_VERSION}\", extra_packages = c(\"pandas\", \"numpy\", \"pycryptodome\"), method=\"conda\", envname=\"${ENV_NAME}\")"

# Install kaggle libraries.
# Do this at the end to avoid rebuilding everything when any change is made.
ADD kaggle/ /kaggle/
# RProfile sources files from /kaggle/ so ensure this runs after ADDing it.
ENV R_HOME=/usr/local/lib/R
ADD RProfile.R /usr/local/lib/R/etc/Rprofile.site
ADD install_iR.R  /tmp/install_iR.R
ADD bioconductor_installs.R /tmp/bioconductor_installs.R
ADD package_installs.R /tmp/package_installs.R
ADD nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
ADD kaggle/template_conf.json /opt/kaggle/conf.json
# Install with `--vanilla` flag to avoid conflict. https://support.bioconductor.org/p/57187/
RUN Rscript --vanilla /tmp/package_installs.R
RUN Rscript --vanilla /tmp/bioconductor_installs.R
RUN Rscript --vanilla /tmp/install_iR.R

ARG GIT_COMMIT=unknown
ARG BUILD_DATE_RSTATS=unknown

LABEL git-commit=$GIT_COMMIT
LABEL build-date=$BUILD_DATE_RSTATS

# Find the current release git hash & build date inside the kernel editor.
RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE_RSTATS" > /etc/build_date

CMD ["R"]