I would like to setup docker package however I'm geting error when pulling image. Any idea where is the problem.
d@ds:~$ sudo docker pull quantconnect/lean
Using default tag: latest
Error response from daemon: manifest for quantconnect/lean:latest not found: manifest unknown: manifest unknown
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Hey Don Q,
We only distribute the image for the server setup. You can get the image with
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sudo docker pull quantconnect/lean:foundationYou will need to first install Lean and build it. After that, you will need to run the Dockerfile to create the final image that can be used to run Lean.
If you have any further questions, please don't hesitate to ask!
Best
Rahul
Step 10/18 : COPY ./Launcher/bin/Debug/* ${WORK}
COPY failed: no source files were specified
Please find below DockerfileJupyter:#
# LEAN Jupyter Docker Container 20190206
#
# Use base system for cleaning up wayward processes
FROM quantconnect/lean:foundation
MAINTAINER QuantConnect <contact@quantconnect.com>
# Install Tini
RUN wget --quiet https://github.com/krallin/tini/releases/download/v0.10.0/tini && \
echo "1361527f39190a7338a0b434bd8c88ff7233ce7b9a4876f3315c22fce7eca1b0 *tini" | sha256sum -c - && \
mv tini /usr/local/bin/tini && \
chmod +x /usr/local/bin/tini
# Install Lean/PythonToolbox
RUN git clone https://github.com/QuantConnect/Lean.git && cd Lean/PythonToolbox && \
python setup.py install && cd ../.. && rm -irf Lean
#Install Jupyter and other packages
RUN conda install -c plotly plotly=4.1.0
RUN conda install -c conda-forge jupyterlab
#Install ICSharp (Jupyter C# Kernel)
RUN wget https://cdn.quantconnect.com/icsharp/ICSharp.Kernel.20180820.zip && \
unzip ICSharp.Kernel.20180820.zip && rm -irf ICSharp.Kernel.20180820.zip && cd icsharp && \
jupyter kernelspec install kernel-spec --name=csharp && cd ..
# Setting some environment variables
ENV WORK /root/Lean/Launcher/bin/Debug/
ENV PYTHONPATH=${WORK}:${PYTHONPATH}
# Copy Lean files to convenient locations
COPY ./Launcher/bin/Debug/* ${WORK}
RUN find ${WORK} -type f -not -name '*.dll' -not -name '*.ipynb' -not -name '*.csx' -not -name 'decimal.py' -delete
# Copy pythonnet binaries for jupyter
COPY ./Launcher/bin/Debug/jupyter/* ${WORK}
# Setup config file
RUN echo "{ \"data-folder\": \"/home/Data/\", \"composer-dll-directory\": \"$WORK\", \"algorithm-language\": \"Python\", \"messaging-handler\": \"QuantConnect.Messaging.Messaging\", \"job-queue-handler\": \"QuantConnect.Queues.JobQueue\", \"api-handler\": \"QuantConnect.Api.Api\" }" > ${WORK}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
Hey Don Q,
Have tried running Lean for both C# and Python? It may be possible that some files are missing because Lean was not compiled.
Please let us know if that works or if there are any further issues.
Best
Rahul
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
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