DockerfileJupyter

#
#	LEAN Jupyter Docker Container 20180323
#

# Use base system for cleaning up wayward processes
FROM quantconnect/lean:foundation

MAINTAINER QuantConnect <contact@quantconnect.com>

# Install Tini
RUN wget --quiet https://github.com/krallin/tini/releases/download/v0.10.0/tini && \
    echo "1361527f39190a7338a0b434bd8c88ff7233ce7b9a4876f3315c22fce7eca1b0 *tini" | sha256sum -c - && \
    mv tini /usr/local/bin/tini && \
    chmod +x /usr/local/bin/tini

#Install Jupyter and other packages
RUN conda install -y jupyter && \
    conda install -y jsonschema plotly quandl && \
    conda clean -y --all

#Install Python.NET
RUN apt-get update && apt-get install -y clang git libglib2.0-dev && \
    pip install --egg  git+https://github.com/QuantConnect/pythonnet

# Setting some environment variables
ENV WORK /root/Lean/Jupyter/bin/Debug
ENV LEAN /opt/miniconda3/Lean
ENV PYTHONPATH=${LEAN}:${PYTHONPATH}

# Copy Lean files to convinient locations
COPY ./Jupyter/bin/Debug ${LEAN}
COPY ./Jupyter/*.ipynb ${WORK}/
COPY ./Jupyter/config.json ${WORK}
RUN rm -irf ${LEAN}/*Python*

EXPOSE 8888
WORKDIR $WORK

ENTRYPOINT [ "/usr/local/bin/tini", "--" ]
CMD jupyter notebook --ip='*' --port=8888 --no-browser --allow-root

# Usage: 
# docker build -t quantconnect/lean:foundation -f DockerfileLeanFoundation .
# docker build -t quantconnect/jupyter -f DockerfileJupyter .
# docker run -v (absolute to your data folder):/root/Lean/Data:ro quantconnect/jupyter