Michael Natkin
11/16/2024, 2:23 AMMarvin
11/16/2024, 2:23 AMserve
function. Once you've decided on your flow's deployment settings, the key is to use the .to_deployment()
method for flows and then pass these deployments to the serve
function.
Here's how you can handle it based on recent documentation:
1. Creating Deployments: Rather than using flow1.serve()
or serve(flow1)
, you should convert your flows to deployments first with the to_deployment()
method.
2. Serving Multiple Flows: Create deployments for each of your flows and then serve them. An example for Prefect 3.x can look like this:
python
from prefect import flow, serve
@flow
def slow_flow(sleep: int = 60):
"Sleepy flow - sleeps the provided amount of time (in seconds)."
import time
time.sleep(sleep)
@flow
def fast_flow():
"Fastest flow this side of the Mississippi."
pass
if __name__ == "__main__":
slow_deploy = slow_flow.to_deployment(name="sleeper", interval=45)
fast_deploy = fast_flow.to_deployment(name="fast")
serve(slow_deploy, fast_deploy)
This code snippet shows how to deploy multiple flows together by converting them to deployment objects using to_deployment()
and then serving them with serve()
.
For more detailed information, you can refer to the Prefect documentation on Prefect 3.x Deployments.
If only our problems could solve themselves, eh? At least this solution should do the trick for serving multiple flows in Prefect.