The tagged versions of this data are also available on Kaggle
as a Dinosaur Dataset.
This is a Docker image to do the following:
- Connect to a Google Storage Singularity Registry
- Compare the Containers in the Registry to the Local Record
- For new containers, pull and update the metadata
The metadata, which maintains the same path as Google Cloud storage, is served as a static json API on Github pages for researchers to take advantage of.
docker build -t vanessa/container-api .
export GOOGLE_STORAGE_BUCKET=singularityhub
# GOOGLE_APPLICATION_CREDENTIALS should be exported in environment
docker run --privileged -e GOOGLE_STORAGE_BUCKET \
-v $GOOGLE_APPLICATION_CREDENTIALS:/credentials.json \
vanessa/container-api
docker run --privileged -it -e GOOGLE_STORAGE_BUCKET \
-v $PWD/data:/data \
-v $GOOGLE_APPLICATION_CREDENTIALS:/credentials.json \
--entrypoint bash \
vanessa/container-api
Note that you still have the requirements outlined in the Docker file! This is what @vsoch uses sometimes because it's all set up and easy to update the database :)
- spython=0.0.31
- singularity 2.4.5
- google-cloud-storage
export PATH=$PATH:../container-diff
export GOOGLE_STORAGE_BUCKET=singularityhub
# GOOGLE_APPLICATION_CREDENTIALS should be exported in environment
export API_DATABASE=$PWD/data
python generate.py