# Andrew Osheroff's docker base image, using system python rather than conda
# https://github.com/binder-project/binder-build-core ... /images/python/3.5
FROM debian:jessie

MAINTAINER Aurelien Geron <aurelien.geron@gmail.com>

ENV DEBIAN_FRONTEND noninteractive

RUN apt-get update -y &&\
    apt-get install --fix-missing -y \
        build-essential\
        bzip2\
        cmake\
        curl\
        gcc\
        gfortran\
        git\
        libav-tools\
        libboost-all-dev\
        libglib2.0-0\
        libjpeg-dev\
        libsdl2-dev\
        libsm6\
        locales\
        nodejs-legacy\
        npm\
        python-dev\
        python-opengl\
        python-pip\
        python-qt4\
        python-virtualenv\
        python3-dev\
        python3-opengl\
        python3-pip\
        python3-virtualenv\
        swig\
        vim\
        wget\
        xorg-dev\
        xvfb\
        zlib1g-dev &&\
    apt-get clean &&\
    rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*tmp

# set utf8 locale:
RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && locale-gen
ENV LANG=en_US.UTF-8 \
    LC_ALL=en_US.UTF-8

# We run our docker images with a non-root user as a security precaution.
# main is our user
RUN useradd -m -s /bin/bash main

EXPOSE 8888

USER main
ENV HOME /home/main
ENV SHELL /bin/bash
ENV USER main
WORKDIR $HOME

ENV SHELL /bin/bash

RUN /usr/bin/pip install --upgrade --user pip wheel
RUN /usr/bin/pip3 install --upgrade --user pip wheel

ENV PATH /home/main/.local/bin:$PATH

# Install scientific packages
RUN pip install --upgrade --user matplotlib numexpr numpy pandas Pillow protobuf psutil scipy scikit-learn sympy
RUN pip3 install --upgrade --user matplotlib numexpr numpy pandas Pillow protobuf psutil scipy scikit-learn sympy

# Install TensorFlow
RUN pip install --upgrade --user https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc0-cp27-none-linux_x86_64.whl
RUN pip3 install --upgrade --user https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc0-cp34-cp34m-linux_x86_64.whl

# Install OpenAI gym
RUN pip install --upgrade --user gym
RUN pip3 install --upgrade --user gym
RUN pip install --upgrade --user "gym[atari]"
RUN pip3 install --upgrade --user "gym[atari]"

# Install Jupyter and Jupyter extensions
RUN pip install --upgrade --user jupyter https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master
RUN pip3 install --upgrade --user jupyter https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master

# Install Notebook extensions and activate the ToC extension
RUN jupyter contrib nbextension install --user
RUN jupyter nbextension enable toc2/main

# Replace script to start Jupyter with xvfb-run
ADD start-notebook.sh /home/main/

RUN ipython2 kernel install --user
RUN ipython3 kernel install --user