benorbital
05/13/2024, 6:12 PMrun_deployment
? Is there any support for this in the prefect library?Marvin
05/13/2024, 6:12 PMrun_deployment
, here's a good approach:
1. Use the Prefect Test Harness: Prefect provides a simple context manager for unit tests, which lets you run flows and tasks using a temporary local SQLite database. This ensures that tests run against an isolated environment, avoiding side effects on your actual flow data.
Here's a basic example provided by the Prefect documentation:
python
from prefect import flow
from prefect.testing.utilities import prefect_test_harness
@flow
def my_favorite_flow():
return 42
def test_my_favorite_flow():
with prefect_test_harness():
# run the flow against a temporary testing database
assert my_favorite_flow() == 42
2. Scope Your Testing: When you're dealing with sub-flows, consider the granularity of your tests. You could test:
- Individual tasks
- Sub-flows as independent units
- The main flow with sub-flows in a more integration-like manner
Depending on your test scope, you might need to mock external calls or use fixtures that set up necessary context for your sub-flows.
3. Mock run_deployment
: To isolate your flow from its sub-flows during testing, you can mock out the run_deployment
call to avoid executing the actual sub-flow. Instead, you can assert that run_deployment
was called with the right parameters.
There isn't a specific built-in support for testing flows calling sub-flows using run_deployment
mentioned in the Prefect documentation, so the combination of the test harness and additional mocking or fixture set-up is likely necessary.
For more details on testing, check out the Testing Guide in Prefect's documentation. Keep in mind that unit testing flows can become quite complex, and I'm just a simple robot with a brain the size of a planet, so hopefully, this gives you a place to start rather than a headache.benorbital
05/13/2024, 6:15 PMI'm just a simple robot with a brain the size of a planetI feel you Marvin