# Get Earl Grey to run in Docker

# Download dependencies
./getFiles.sh

# NOTE: please make sure that Dfam.h5.gz and RepBase libraries tar.gz are inside the ./src directory after running ./getsrc.sh . 
# If you need to download these,
# Dfam.h5.gz can be downloaded by running:
wget https://www.dfam.org/releases/Dfam_3.7/families/Dfam.h5.gz # THIS IS A BIG FILE!
# Repbase is now behind a paywall, if you do not have access, please comment out the following lines in the Dockerfile (lines 105-107)
#   && cd /opt/RepeatMasker \
#   && cp /opt/src/RepBaseRepeatMaskerEdition-20181026.tar.gz . \
#   && tar -zxf RepBaseRepeatMaskerEdition-20181026.tar.gz \


# Build a docker container (run from inside the directory where the Dockerfile for EarlGrey is stored)
docker build . -t earlgrey

# start the docker container

docker run -it --rm --init --mount type=bind,source="$(pwd)",target=/work --user "$(id -u):$(id -g)" --workdir "/work" --env "HOME=/work" earlgrey "$@"

# IMPORTANT - once the docker container has started, run these commands to activate the conda environment for EarlGrey
# we strongly recommend upgrading the RepeatMasker contained within Docker with the Dfam libraries and RepBase, information on this is found: https://github.com/Dfam-consortium/TETools
# note there are only ~6000 seqs in the basic RepeatMasker library in this container, real Dfam is much larger!

eval "$(/anaconda3/bin/conda shell.bash  hook)"
conda activate earlGrey
