AlexCatarino
a7ce05f121
Updates the link to fetch a new version of iCSharp with Jupyter message specification v5. The new docker image places Python.Runtime.dll from the nuget package in pythonnet folder as this dll is used in C# notebooks. Python notebook use Python.Runtime.dll that is compiled in docker when pythonnet is installed via pip.
64 lines
2.4 KiB
Plaintext
64 lines
2.4 KiB
Plaintext
#
|
|
# LEAN Jupyter Docker Container 20190206
|
|
#
|
|
|
|
# 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
|
|
|
|
RUN git clone https://github.com/QuantConnect/pythonnet && \
|
|
cd pythonnet && cp src/runtime/interop36.cs src/runtime/interop36m.cs && \
|
|
python setup.py install && cd .. && rm -irf pythonnet
|
|
|
|
# Install Lean/PythonToolbox
|
|
RUN git clone https://github.com/QuantConnect/Lean.git && cd Lean/PythonToolbox && \
|
|
python setup.py install && cd ../.. && rm -irf Lean
|
|
|
|
#Install Jupyter and other packages
|
|
RUN conda update -y conda && \
|
|
conda install -c conda-forge jupyterlab
|
|
|
|
# Be sure packages are the same of Foundation
|
|
RUN conda install -y python=3.6.7 && \
|
|
conda install -y numpy=1.14.5 && \
|
|
conda install -y pandas=0.23.4 && \
|
|
conda clean -y --all
|
|
|
|
#Install ICSharp (Jupyter C# Kernel)
|
|
RUN wget https://cdn.quantconnect.com/icsharp/ICSharp.Kernel.20180820.zip && \
|
|
unzip ICSharp.Kernel.20180820.zip && rm -irf ICSharp.Kernel.20180820.zip && cd icsharp && \
|
|
jupyter kernelspec install kernel-spec --name=csharp && cd ..
|
|
|
|
# Setting some environment variables
|
|
ENV WORK /root/Lean/Launcher/bin/Debug/
|
|
ENV PYTHONPATH=${WORK}:${PYTHONPATH}
|
|
|
|
# Copy Lean files to convenient locations
|
|
COPY ./Launcher/bin/Debug/ ${WORK}
|
|
RUN mkdir ${WORK}/pythonnet && \
|
|
mv ${WORK}/decimal.py ${WORK}/pythonnet/decimal.py && \
|
|
mv ${WORK}/nPython.exe ${WORK}/pythonnet/nPython.exe && \
|
|
mv ${WORK}/Python.Runtime.dll ${WORK}/pythonnet/Python.Runtime.dll && \
|
|
find ${WORK} -type f -not -name '*.dll' -not -name '*.ipynb' -not -name '*.csx' -delete && \
|
|
echo "{ \"data-folder\": \"/home/Data/\", \"composer-dll-directory\": \"$WORK\" }" > ${WORK}/config.json
|
|
|
|
EXPOSE 8888
|
|
WORKDIR $WORK
|
|
|
|
ENTRYPOINT [ "/usr/local/bin/tini", "--" ]
|
|
CMD jupyter lab --ip='0.0.0.0' --port=8888 --no-browser --allow-root
|
|
|
|
# List packages
|
|
RUN conda list
|
|
|
|
# Usage:
|
|
# docker build -t quantconnect/lean:foundation -f DockerfileLeanFoundation .
|
|
# docker build -t quantconnect/jupyter -f DockerfileJupyter .
|
|
# docker run -it --rm -p 8888:8888 -v (absolute to your data folder):/home/Data:ro quantconnect/jupyter |