Dockerfile.conda

ARG PYTHON_VERSION=3.9
ARG CIRCLE_PULL_REQUEST
FROM deepnote/python:base

RUN apt-get update && \
    apt-get install -y --no-install-recommends \
        tini  \
        libglib2.0-0 libxext6 libsm6 libxrender1 && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*

ENV CONDA_PLUGINS_AUTO_ACCEPT_TOS=yes
ENV CONDA_ALWAYS_YES=true

# We always download and install the latest miniconda3,
# and then downgrade python to specific version.
# We could instead download a specific miniconda3 version,
# but that would require baking in the URLs for
# different Miniconda installer versions into the Dockerfile.
ARG PYTHON_VERSION
ARG TARGETARCH
RUN case "$TARGETARCH" in \
      amd64) MINICONDA_ARCH="x86_64" ;; \
      arm64) MINICONDA_ARCH="aarch64" ;; \
      *) echo "Unsupported TARGETARCH: $TARGETARCH" >&2; exit 1 ;; \
    esac && \
    wget --quiet "https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-${MINICONDA_ARCH}.sh" -O /tmp/miniconda.sh && \
    /bin/bash /tmp/miniconda.sh -b -p /opt/conda && \
    rm /tmp/miniconda.sh && \
    # Use community packages from conda-forge instead of Anaconda Inc. default channels
    # which require accepting terms of service & using commercial license for orgs with more than 200 employees
    /opt/conda/bin/conda config --add channels conda-forge && \
    /opt/conda/bin/conda config --remove channels defaults || true && \
    /opt/conda/bin/conda config --set channel_priority strict && \
    # Install the correct version of python (as the time of writing, anaconda 
    # installed python 3.11 by default) for parity with our base image
    /opt/conda/bin/conda install python=${PYTHON_VERSION} && \
    /opt/conda/bin/conda clean --all

ENV PATH=/opt/conda/bin:$PATH

ENV PIP_TARGET=/opt/conda/lib/python${PYTHON_VERSION}/site-packages

# Remove the system wide .profile file, because it overwrites the $PATH variable
# and therefore the /opt/conda/bin directory is not in the $PATH.
RUN rm /etc/profile