This library provides an abstraction layer for the most basic functionality provided by the cloud providers. These are the basic functions required by the Human Cell Atlas Data Storage Service.
Before you start, you may wish to set up a virtualenv. Run pip install -r requirements-dev.txt. Then set up the following environment variables:
| Environment variable | Explanation |
|---|---|
| S3_BUCKET | Points to the AWS S3 bucket where new files will be written. It may be advisable to set up a cleanup policy for this bucket. |
| S3_BUCKET_FIXTURES | Points to the AWS S3 bucket where static fixtures are stored. |
| S3_BUCKET_US_EAST_1 | Points to an AWS S3 bucket in the US_EAST_1 region. This can overlap with one of the other buckets. |
| S3_BUCKET_NON_US_EAST_1 | Points to an AWS S3 bucket not in the US_EAST_1 region. This can overlap with one of the other buckets. |
| GS_BUCKET | Points to the GCP GS bucket where new files will be written. It may be advisable to set up a cleanup policy for this bucket. |
| GS_BUCKET_FIXTURES | Points to the GCP GS bucket where static fixtures are stored. |
Run python tests/fixtures/populate.py --s3-bucket $S3_BUCKET_FIXTURES --gs-bucket $GS_BUCKET_FIXTURES
Run make test in the top-level directory.