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Title
y
yusuf yel
09/10/2022, 3:12 PMHi everyone,
When I try build deployment I get this error:
❓ 1
✅ 1
RuntimeError: A 'sync_compatible' method was called from a context that was previously async but is now sync. The sync call must be changed to run in a worker thread to support sending the coroutine for 'build_from_flow' to the main thread.deployment = Deployment.build_from_flow(
flow=main,
name="model_training",
schedule=IntervalSchedule(interval=timedelta(minutes=5)),
work_queue_name="ml"
)
deployment.apply()a
Anna Geller
09/10/2022, 4:30 PMHi Yusuf! Could you perhaps try using the prefect deployment CLI? way easier, that way you don't have to worry about sync/async - this guide provides many resources to get started https://discourse.prefect.io/t/prefect-deployments-faq/1467
some practical examples: https://discourse.prefect.io/t/how-to-deploy-all-flows-from-a-project-at-once/1566
j
Jeff Hale
09/10/2022, 4:44 PMIf you want to use the Python Deployment file way @yusuf yel, you’re very close. Just pass your interval schedule object to the
schedulework_queue_name👀 1
y
yusuf yel
09/10/2022, 6:11 PM@Jeff Hale Jeff thanks for answering. I can start agent now. But there is another issue which is same issue when I try deployment cli. When I start prefect agent all tasks and flow runs without any error but mlflow artifacts doesn't saves relative path artifacts. I don't think issue was mlflow because I have task which cleans previous mlflow artifacts. That tasks doesn't excute either.
Here is my flow and path task.:
Edit: I can run my script as regular python file and mlflow artifacts saves like expected.
❓ 1
@Anna Geller Thanks for pointing deployment cli. apparently I got all wrong. I was trying deployment in python file and deployment cli. I understand now I got two option for deployment. Thanks.
👍 1
a
Anna Geller
09/10/2022, 6:31 PMAhh that's indeed a bit confusing, maybe we can make it clearer in the docs, great that you figured it out!
🙌 2