Dockerfile

#############################
# RSTUDIO-SERVER            #
# VOLUME DOCKERFILE         #
#***************************#
# Set up a jupyter-lab for  #
# developing using deepvats #
#############################
##############
# Base image #
##############
#FROM vrodriguezf/rstudio-server-shiny-development
# Adds rstudio server, tiyverse, devtools to rocker/cuda
FROM rocker/ml:4.2

SHELL [ "/bin/bash", "--login", "-c" ]

RUN apt-key adv --keyserver keyserver.ubuntu.com --recv-keys A4B469963BF863CC 
RUN apt-get update
RUN apt-get install -y python3-pip
RUN python3 -m pip install --upgrade pip
RUN apt-get install -y python3-venv libxt-dev
## Install R packages

#COPY docker/DESCRIPTION /tmp/
COPY --chown=${UID}:${GID} docker/DESCRIPTION /tmp/

RUN ls -la /tmp/ && sleep 5

#RUN R -e "install.packages(deps_path = '/tmp/DESCRIPTION', remotes::dev_package_deps(dependencies = TRUE), repos = NULL)"

RUN R -e "devtools::install_deps('/tmp/', dependencies = TRUE)"

#RUN R -e "install.packages(c('shiny', 'pals', 'shinyWidgets', 'dygraphs', 'shinycssloaders', 'shinyjs', 'Rcpp', 'reactlog', 'pals',  'feather', 'fasttime', 'zoo', 'shinyWidgets'))"
#RUN R -e "remotes::install_github('r-lib/later')"
#RUN R -e "remotes::install_github('apache/arrow/r')"

## Install reticulate and create virtual environment using default Ubuntu installed Python
#RUN R -e "install.packages('reticulate')"

ARG USER=user
ARG UID=1000
ARG GID=1000
ENV HOME /home/$USER
ENV ENV_PREFIX $HOME/env

RUN addgroup --gid $GID $USER
RUN adduser --disabled-password \
    --gecos "Non-root user" \
    --uid $UID \
    --gid $GID \
    --home $HOME \
    $USER

RUN adduser $USER sudo
RUN echo "$USER ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers


ARG RETICULATE_MINICONDA_PATH=/usr/local/share/r-miniconda
ARG RETICULATE_PYTHON_ENV=/usr/virtualenvs/venv_shiny_app
ENV RETICULATE_PYTHON=${RETICULATE_PYTHON_ENV}/bin/python/

#RUN R -e "reticulate::virtualenv_create(envname='${RETICULATE_PYTHON_ENV}', python='/usr/bin/python3')"
#RUN R -e "reticulate::virtualenv_install(c('numpy', 'pandas', 'wandb', 'hdbscan'), envname='${RETICULATE_PYTHON_ENV}')"

RUN echo "RETICULATE_PYTHON_ENV=${RETICULATE_PYTHON_ENV}" >> ${HOME}/.Renviron
RUN echo "RETICULATE_PYTHON=${RETICULATE_PYTHON}" >> ${HOME}/.Renviron

## Export W&B environment variable to Rstudio

ARG WANDB_API_KEY
RUN echo "WANDB_API_KEY=${WANDB_API_KEY}" >> /${HOME}/.Renviron

# use an entrypoint script to insure conda environment is properly activated at runtime

COPY --chown=${UID}:${GID} docker/entrypoint-rstudio.sh /usr/local/bin
RUN chmod u+x /usr/local/bin/entrypoint-rstudio.sh
ENTRYPOINT [ "/usr/local/bin/entrypoint-rstudio.sh" ]

# Rewrite the miniconda path environment in case it has been redefined in the compose file
RUN echo "RETICULATE_MINICONDA_PATH=${RETICULATE_MINICONDA_PATH}" >> ${HOME}/.Renviron

# make non-activate conda commands available
ENV PATH=${RETICULATE_MINICONDA_PATH}/bin:${PATH}