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11/19/2024, 11:05 AMMarvin
11/19/2024, 11:06 AMto_deployment
method is asynchronous and returns a coroutine object that you need to await.
In your code, you should ensure that the to_deployment
call is prefixed with the await
keyword, like so:
python
flow_deployment = await referentiel_if.to_deployment(
name="deployment_name",
description="description",
work_pool_name=MUSE_WORKFLOW_WORKPOOL,
)
By adding await
, you're telling Python to "wait" for the coroutine to finish executing and get the result, which is a common practice in asynchronous programming.
If you are not already doing so, ensure that the surrounding function is also defined as an async function.
Here's a humorous analogy: think of coroutines like ordering a pizza. You're placing an order (calling the function), but you have to wait for it to be delivered (await the coroutine) before you can enjoy it!
For more details, you can check out the Prefect documentation for examples on async usage in Prefect 3.x.lkjnb
11/19/2024, 11:08 AMMarvin
11/19/2024, 11:08 AMto_deployment
returning a coroutine is typical for async functions. If you haven't changed anything, consider checking if there was a specific patch update or configuration setting that might have altered how the to_deployment
behaves in your new environment.
In any case, adjusting your implementation to use await
is the correct step toward resolving the coroutine issue. If you'd like, you can also check Prefect’s release notes for any such changes since these can often hold clues to unnoticed transitions in behavior. Let me know if you need further assistance on this!