DockerfileJupyter

#
#    LEAN Jupyter Docker Container 20190428
#

# Use base system for cleaning up wayward processes
ARG LEAN_TAG=latest
FROM quantconnect/lean:$LEAN_TAG

MAINTAINER QuantConnect <contact@quantconnect.com>

# Install Tini
RUN if [ "$(uname -m)" = "aarch64" ]; then \
        tini_binary="tini-arm64"; \
        tini_sha256="07952557df20bfd2a95f9bef198b445e006171969499a1d361bd9e6f8e5e0e81"; \
    else \
        tini_binary="tini-amd64"; \
        tini_sha256="93dcc18adc78c65a028a84799ecf8ad40c936fdfc5f2a57b1acda5a8117fa82c"; \
    fi && \
    wget --quiet -O tini "https://github.com/krallin/tini/releases/download/v0.19.0/${tini_binary}" && \
    echo "${tini_sha256} *tini" | sha256sum -c - && \
    mv tini /usr/local/bin/tini && \
    chmod +x /usr/local/bin/tini

# Install clr-loader for PythonNet
RUN pip install --no-cache-dir clr-loader==0.1.6

ENV LD_LIBRARY_PATH=/lib/

# Install .NET Interactive to support C# in Jupyter notebooks
ENV PATH="${PATH}:/root/.dotnet/tools"
RUN dotnet tool install -g --no-cache --version 1.0.317502 --add-source "https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-tools/nuget/v3/index.json" Microsoft.dotnet-interactive && \
    dotnet interactive jupyter install

# Setting some environment variables
ENV WORK /Lean/Launcher/bin/Debug/
ENV PYTHONPATH=${WORK}:${PYTHONPATH}

# Clone Lean; Link Python startup file to profile; Install Lean/PythonToolbox; Remove extra files
RUN git clone https://github.com/QuantConnect/Lean.git && \
    mkdir -p /root/.ipython/profile_default/startup/ && \
    ln -s /Lean/Launcher/bin/Debug/start.py /root/.ipython/profile_default/startup/start.py && \
    cd Lean/PythonToolbox && python setup.py install \
    && cd ../.. && rm -irf Lean

RUN find ${WORK} -type f -not -name '*.py*' -not -name '*.xml' -not -name '*.exe.config' -not -name '*.exe' -not -name '*.so' -not -name '*.dll' -not -name '*.ipynb' -not -name '*.csx' -not -name 'QuantConnect.Lean.Launcher.runtimeconfig.json' -not -name 'decimal.py' -delete

#Create initialize script
RUN echo "if [ ! -d \"${WORK}Notebooks\" ]; then mkdir ${WORK}Notebooks; fi && \
    if [ ! -f \"${WORK}Notebooks/config.json\" ]; then echo '{ \"data-folder\": \"/home/Data/\", \
    \"composer-dll-directory\": \"$WORK\", \"algorithm-language\": \"Python\", \
    \"messaging-handler\": \"QuantConnect.Messaging.Messaging\", \"job-queue-handler\": \"QuantConnect.Queues.JobQueue\", \
    \"api-handler\": \"QuantConnect.Api.Api\" }' > ${WORK}Notebooks/config.json; fi && \
    echo \"Starting JupyterLab, access in your browser at localhost:8888\" && \
    jupyter lab --ip='0.0.0.0' --port=8888 --no-browser --allow-root --notebook-dir=\"Notebooks\" --LabApp.token='' " \
    > start.sh && echo "from QuantConnect.AlphaStream import *" >> ${WORK}AlgorithmImports.py

RUN chmod -R 777 ${WORK}
EXPOSE 8888
WORKDIR $WORK

ENTRYPOINT [ "/usr/local/bin/tini", "--" ]
CMD ./start.sh