To install sheepdog, ensure you have poetry installed and run:
poetry install
You will also need Postgres installed for psycopg2.
import sheepdog
import datamodelutils
from dictionaryutils import dictionary
from gdcdictionary import gdcdictionary
from gdcdatamodel import models, validators
dictionary.init(gdcdictionary)
datamodelutils.validators.init(validators)
datamodelutils.models.init(models)
blueprint = sheepdog.create_blueprint(name='submission')
app = Flask(__name__)
app.register_blueprint(blueprint)
Auto-documentation is set up using Sphinx. To build it, run
cd docs
make html
which by default will output the index.html
page to
docs/build/html/index.html
.
OpenAPI documentation available here.
The YAML file containing the OpenAPI documentation is in the openapi
folder;
see the README in that folder for more details.
Sheepdog requires the submitter_id
to be unique per node per project. It means that, the submitter_id
of all case
nodes must be unique per project. This constraint was technically enforced by the unique index of (project_id, submitter_id)
in every node table.
If you want to locally replicate what GH Actions is doing more closely, follow these steps.
Ensure you've run poetry install
.
Ensure you have Postgresql 13 set up and running.
Ensure there are 2 postgres users postgres
and test
, both set up with password test
:
CREATE USER postgres WITH PASSWORD 'test';
Then run:
bash tests/ci_setup.sh
If the above fails due to postgres errors, your postgresql setup may need some fixing, it should finish with the following:
Setting up test database
Dropping old test data
WARNING:root:Unable to drop test data:(psycopg2.errors.InvalidCatalogName) database "sheepdog_automated_test" does not exist
[SQL: DROP DATABASE "sheepdog_automated_test"]
(Background on this error at: http://sqlalche.me/e/13/f405)
Creating tables in test database
Creating indexes
writing RSA key
The WARNING will show up the first time you run this, it's safe to ignore.
That sets up the database so if you run into postgres errors, you'll want to double check your postgres setup.
After that you can run unit tests with:
bash tests/ci_commands_script.sh
You can see more detailed information on local dev setup in the docs/local_dev_environment.md