# EXAMPLE USAGE: docker run --rm codewars/python-runner run -l python -c "print 1+1 "

# docker run --rm codewars/python-runner run -l python3 -c "print(1+1)"

# Pull base image.

FROM codewars/base-runner

# Install Additional Python libraries

RUN apt-get install -y python-pip python-numpy python-scipy python-pandas

# Install Python 3

RUN apt-get install -y python3-pip python3-numpy python3-scipy python3-pandas

# Install Packages

RUN pip install pymongo redis

RUN pip3 install pymongo redis

# Install TensorFlow for deep learning capabilities (CPU support only)

RUN pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0rc0-cp27-none-linux_x86_64.whl

RUN pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0rc0-cp34-cp34m-linux_x86_64.whl

# Install Scikit-learn

RUN pip install -U scikit-learn

RUN pip3 install -U scikit-learn

# Install Tornado

RUN pip install -U tornado

RUN pip3 install -U tornado

# Install Ably

RUN pip install -U ably

RUN pip3 install -U ably

# add the package json first to a tmp directory and build, copy over so that we dont rebuild every time

ADD package.json /tmp/package.json

RUN cd /tmp && npm install --production

RUN mkdir -p /runner && cp -a /tmp/node_modules /runner

# ADD cli-runner and install node deps

ADD . /runner

WORKDIR /runner

# Run the test suite to make sure this thing works

USER codewarrior

# Set environment variables

ENV USER codewarrior

ENV HOME /home/codewarrior

RUN mocha -t 5000 test/runners/python_spec.js

#timeout is a fallback in case an error with node

#prevents it from exiting properly

ENTRYPOINT ["timeout", "15", "node"]