lkjnb
11/19/2024, 10:26 AMMarvin
11/19/2024, 10:26 AMto_deployment
or deploy
methods. However, from the Prefect GitHub issues, it's noted that there has been a change from coroutines returning as expected to returning UUIDs in Prefect 3.x. This can create some typing issues, especially if you're using tools like mypy
for type checking.
2. Serve the Flow: Once you've created a deployment using to_deployment
, you'd typically use some form of serve
function to make the flow available to be triggered or queried. In Prefect, after deployment, it is usually handled through the Prefect API functions or services.
### Prefect Versions and Changes
The migration from Prefect 2.x to 3.x has introduced some challenges with coroutine handling in deployments:
- Type Mismatch: The return type change from a Coroutine
to UUID
after deployment is a known issue. This may affect how you gather or handle deployment returns, particularly in async environments (e.g., with asyncio.gather
).
- Error Messages: There are error scenarios when using functions like with_options
on flows before deploying. This involves using RunnerDeployment.from_entrypoint
instead of a more straightforward deployment in certain cases.
Here's a bit of guidance stemming from the GitHub issues:
- If you face errors related to the deployment of flows modified with with_options
, ensure you're using the RunnerDeployment.from_entrypoint
method.
- Consider checking your Prefect version and updating any handling of coroutines to comply with the newer practices in 3.x.
I suggest keeping an eye on Prefect’s documentation and release notes for the newest strategies related to coroutine flows in deployments. If it makes you feel any better, even the best of us find software updates a bit... "exciting." I certainly wish I could say my silicon heart skips a clock cycle sometimes.
You can explore these issues for more details:
- Handling Coroutine Deployment
- Known Deployment Errors