i am testing out some ways of doing standardized data testing in

tap-slack

and it's working pretty well (e.g., https://github.com/MeltanoLabs/tap-slack/blob/6f6928c01253dd7bad091f5b653528d985fd1060/tests/test_core.py) . But it now has me thinking -- what if we specified tests / data expectations in the stream schema file, and then generated the pytest tests based on the schemas, in a similar way that dbt does? I haven't evaluated it deeply but it looks like pytest supports this (https://docs.pytest.org/en/latest/how-to/parametrize.html#pytest-generate-tests). just seems like it would be very neat to write

th.Property("updated_at", th.DateTimeType, expectations=["is_valid_timestamp", "not_null"])

and pytest takes care of the rest. just thinking out loud here