#
# Dockerfile for an image with the currently checked out version of catalyst installed. To build:
#
#    docker build -t quantopian/catalystdev -f Dockerfile-dev .
#
# Note: the dev build requires a quantopian/catalyst image, which you can build as follows:
#
#    docker build -t quantopian/catalyst -f Dockerfile .
#
# To run the container:
#
#    docker run -v /path/to/your/notebooks:/projects -v ~/.catalyst:/root/.catalyst -p 8888:8888/tcp --name catalystdev -it quantopian/catalystdev
#
# To access Jupyter when running docker locally (you may need to add NAT rules):
#
#    https://127.0.0.1
#
# Default password is 'jupyter'. To provide another, see:
#    http://jupyter-notebook.readthedocs.org/en/latest/public_server.html#preparing-a-hashed-password
#
# Once generated, you can pass the new value via `docker run --env` the first time
# you start the container.
#
# You can also run an algo using the docker exec command. For example:
#
#    docker exec -it catalystdev catalyst run -f /projects/my_algo.py --start 2015-1-1 --end 2016-1-1 /projects/result.pickle
#
FROM quantopian/catalyst

WORKDIR /catalyst

RUN pip install -r etc/requirements_dev.txt -r etc/requirements_blaze.txt
# Clean out any cython assets. The pip install re-builds them.
RUN find . -type f -name '*.c' -exec rm {} + && pip install -e .[all]