ARG CUDA_VERSION
FROM nvidia/cuda:$CUDA_VERSION-runtime-ubuntu16.04

# Environment
ENV DEBIAN_FRONTEND noninteractive
SHELL ["/bin/bash", "-c"]   # Use Bash as shell

# Install all basic requirements
RUN \
    apt-get update && \
    apt-get install -y wget unzip bzip2 libgomp1 build-essential && \
    # Python
    wget https://repo.continuum.io/miniconda/Miniconda3-4.5.12-Linux-x86_64.sh && \
    bash Miniconda3-4.5.12-Linux-x86_64.sh -b -p /opt/python

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

# Create new Conda environment with cuDF and dask
RUN \
    conda create -n cudf_test -c rapidsai -c nvidia -c numba -c conda-forge -c anaconda \
        cudf=0.9 python=3.7 anaconda::cudatoolkit=$CUDA_VERSION dask dask-cuda cupy

# Install other Python packages
RUN \
    source activate cudf_test && \
    pip install numpy pytest scipy scikit-learn pandas matplotlib wheel kubernetes urllib3 graphviz

ENV GOSU_VERSION 1.10

# Install lightweight sudo (not bound to TTY)
RUN set -ex; \
    wget -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
    chmod +x /usr/local/bin/gosu && \
    gosu nobody true

# Default entry-point to use if running locally
# It will preserve attributes of created files
COPY entrypoint.sh /scripts/

WORKDIR /workspace
ENTRYPOINT ["/scripts/entrypoint.sh"]
