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34 lines
1.3 KiB
Text
34 lines
1.3 KiB
Text
#
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# Dockerfile for an image with the currently checked out version of zipline installed. To build:
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#
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# docker build -t quantopian/ziplinedev -f Dockerfile-dev .
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#
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# Note: the dev build requires a quantopian/zipline image, which you can build as follows:
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#
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# docker build -t quantopian/zipline -f Dockerfile
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#
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# To run the container:
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#
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# docker run -v /path/to/your/notebooks:/projects -v ~/.zipline:/root/.zipline -p 8888:8888/tcp --name ziplinedev -it quantopian/ziplinedev
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#
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# To access Jupyter when running docker locally (you may need to add NAT rules):
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#
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# https://127.0.0.1
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#
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# default password is jupyter. to provide another, see:
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# http://jupyter-notebook.readthedocs.org/en/latest/public_server.html#preparing-a-hashed-password
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#
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# once generated, you can pass the new value via `docker run --env` the first time
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# you start the container.
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#
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# You can also run an algo using the docker exec command. For example:
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#
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# docker exec -it ziplinedev zipline run -f /projects/my_algo.py --start 2015-1-1 --end 2016-1-1 /projects/result.pickle
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#
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FROM quantopian/zipline
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WORKDIR /zipline
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RUN pip install -r etc/requirements_dev.txt -r etc/requirements_blaze.txt
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# Clean out any cython assets. The pip install re-builds them.
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RUN find . -type f -name '*.c' -exec rm {} + && pip install -e .[all]
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