Dockerfile.template

FROM $BASE

# Install some basic utilities
RUN apt-get update && apt-get install -y \
    vim \
    curl \
    ca-certificates \
    sudo \
    git \
    bzip2 \
    libx11-6 \
 && rm -rf /var/lib/apt/lists/*

# Create a working directory
RUN mkdir /app
WORKDIR /app

# Create a non-root user and switch to it
RUN adduser --disabled-password --gecos '' --shell /bin/bash user \
 && chown -R user:user /app
RUN echo "user ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/90-user
USER user

# All users can use /home/user as their home directory
ENV HOME=/home/user
RUN chmod 777 /home/user

# Install Miniconda
RUN curl -so ~/miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-4.4.10-Linux-x86_64.sh \
 && chmod +x ~/miniconda.sh \
 && ~/miniconda.sh -b -p ~/miniconda \
 && rm ~/miniconda.sh
ENV PATH=/home/user/miniconda/bin:$PATH

# Create a Python 3.6 environment
RUN /home/user/miniconda/bin/conda install conda-build \
 && /home/user/miniconda/bin/conda create -y --name py36 python=3.6.4 \
 && /home/user/miniconda/bin/conda clean -ya
ENV CONDA_DEFAULT_ENV=py36
ENV CONDA_PREFIX=/home/user/miniconda/envs/$CONDA_DEFAULT_ENV
ENV PATH=$CONDA_PREFIX/bin:$PATH

# Ensure conda version is at least 4.4.11
# (because of this issue: https://github.com/conda/conda/issues/6811)
ENV CONDA_AUTO_UPDATE_CONDA=false
RUN conda install -y "conda>=4.4.11" && conda clean -ya

$ADDITIONAL_STEPS

# Install HDF5 Python bindings
RUN conda install -y \
    h5py \
 && conda clean -ya
RUN pip install h5py-cache

# Install Torchnet, a high-level framework for PyTorch
RUN pip install git+https://github.com/pytorch/tnt.git@master

# Install Requests, a Python library for making HTTP requests
RUN conda install -y requests && conda clean -ya

# Install Graphviz
RUN conda install -y graphviz=2.38.0 \
 && conda clean -ya
RUN pip install graphviz

# Install OpenCV3 Python bindings
RUN sudo apt-get update && sudo apt-get install -y --no-install-recommends \
    libgtk2.0-0 \
    libcanberra-gtk-module \
 && sudo rm -rf /var/lib/apt/lists/*
RUN conda install -y -c menpo opencv3 \
 && conda clean -ya

 # Install Jupyter
RUN conda install -y jupyter \
 && conda clean -ya

# Install robosat
RUN sudo apt-get update && sudo apt-get install -y \
    build-essential \
    libboost-python-dev \
    libexpat1-dev \
    zlib1g-dev \
    libbz2-dev \
    libspatialindex-dev \
    libsm6 \
    libxext6 \
 && sudo rm -rf /var/lib/apt/lists/*
RUN cd /app && git clone https://github.com/mapbox/robosat.git
RUN cd /app/robosat && pip install -r deps/requirements-lock.txt

# Ugly patching of osmium, see https://github.com/osmcode/pyosmium/issues/52#issuecomment-401524007
RUN python3 -m pip uninstall --y osmium \
 && rm -rf ~/.cache/pip/wheels/ \
 && sudo rm /usr/lib/x86_64-linux-gnu/libboost_python.so \
 && sudo ln -s /usr/lib/x86_64-linux-gnu/libboost_python-py35.so /usr/lib/x86_64-linux-gnu/libboost_python.so \
 && python3 -m pip install osmium 

# Add TernausNetV2
RUN git clone https://github.com/jjmata/TernausNetV2 \
 && pip install scikit-image tifffile \
 && cd /app/TernausNetV2/modules; chmod +x build.sh \
 && /app/TernausNetV2/modules/build.sh \
 && python3 /app/TernausNetV2/modules/build.py

# Create a datasets directory
RUN sudo mkdir /datasets && sudo chown -R user:user /datasets
VOLUME /datasets

# Set the default command to python3
CMD ["python3"]