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# For finding latest versions of the base image see
# https://github.com/SwissDataScienceCenter/renkulab-docker
ARG RENKU_BASE_IMAGE=renku/renkulab-py:3.9-0.13.1
FROM ${RENKU_BASE_IMAGE}
########################################################
# Renku install section - do not edit #
# RENKU_VERSION determines the version of the renku CLI
# that will be used in this image. To find the latest version,
# visit https://pypi.org/project/renku/#history.
ARG RENKU_VERSION={{ __renku_version__ | default("2.0.0") }}
# Install renku from pypi or from github if a dev version
RUN if [ -n "$RENKU_VERSION" ] ; then \
source .renku/venv/bin/activate ; \
currentversion=$(renku --version) ; \
if [ "$RENKU_VERSION" != "$currentversion" ] ; then \
pip uninstall renku -y ; \
gitversion=$(echo "$RENKU_VERSION" | sed -n "s/^[[:digit:]]\+\.[[:digit:]]\+\.[[:digit:]]\+\(rc[[:digit:]]\+\)*\(\.dev[[:digit:]]\+\)*\(+g\([a-f0-9]\+\)\)*\(+dirty\)*$/\4/p") ; \
if [ -n "$gitversion" ] ; then \
pip install --force "git+https://github.com/SwissDataScienceCenter/renku-python.git@$gitversion" ;\
else \
pip install --force renku==${RENKU_VERSION} ;\
fi \
fi \
fi
# End renku install section #
########################################################
# Uncomment and adapt if code is to be included in the image
# COPY src /code/src
# Uncomment and adapt if your R or python packages require extra linux (ubuntu) software
# e.g. the following installs apt-utils and vim; each pkg on its own line, all lines
# except for the last end with backslash '\' to continue the RUN line
#
# USER root
# RUN apt-get update && \
# apt-get install -y --no-install-recommends \
# apt-utils \
# vim
# USER ${NB_USER}
# Uncomment and adapt if you want to automatically install
# python dependencies when the Docker image builds (pip or conda)
# Note: you will need to add a (pip) requirements.txt file
# AND a (conda) environment.yml file for the below code to run,
# but you can remove one or the other.
#
# COPY requirements.txt environment.yml /tmp/
# RUN conda env update -q -f /tmp/environment.yml && \
# /opt/conda/bin/pip install -r /tmp/requirements.txt && \
# conda clean -y --all && \
# conda env export -n "root"
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