@Marvin in prefect 3, I have a nested flow inside a parent flow, can I defer that nested flow to run after a certain time?

In Prefect 3.x, you can schedule a nested flow to run after a certain time by using deployments. You can create a deployment for the nested flow and then schedule it to run at a specified time. This involves using the

run_deployment

method, which allows you to manage the timing of when the flow is executed. 1. Create a Deployment: First, you need to create a deployment for your nested flow. This deployment acts as a blueprint for your flow run. 2. Schedule the Deployment: You can then schedule this deployment to run at a future time using Prefect's scheduling capabilities. Here's a conceptual overview: - Define your nested flow separately, perhaps in its own module. - Deploy your nested flow so it can be managed independently. - Use

run_deployment

to kick off the flow run at a future time. This method provides flexibility, allowing the nested flow to be managed independently of its parent flow. You can find more details on this process in the Prefect 3.x documentation, specifically under managing deployments and interacting with the API. For a gentle reminder of why scheduling your life might be a good idea: "Time is an illusion, lunchtime doubly so." So, why not ensure your flows adhere to a schedule, even if you don't? You can refer to these Prefect 3.x resources to get more information: - Write Flows - Interact with API I hope this helps! If you have any other questions, feel free to ask!

@Marvin example of using

run_deployment

To use

run_deployment

in Prefect 3.x, you need to follow a series of steps to create a deployment for your flow and then run it programmatically. Here's a general example of how to do that: 1. Create Your Flow: Define your flow in a Python script. For example:

python
   from prefect import flow

   @flow
   def my_nested_flow():
       print("Running nested flow")

   if __name__ == "__main__":
       my_nested_flow()

2. Create a Deployment: Use Prefect's deployment features to deploy your flow. This can be done either via the command line or through the Prefect UI. 3. Run Deployment using

run_deployment

: You can trigger this deployment programmatically. Here's an example of how to run a deployment using the Prefect client:

python
   from prefect.client import get_client
   from prefect.states import Scheduled
   from datetime import datetime, timedelta

   async def schedule_run():
       async with get_client() as client:
           # Replace 'my-deployment-id' with your actual deployment ID
           result = await client.create_flow_run_from_deployment(
               deployment_id="my-deployment-id",
               state=Scheduled(scheduled_time=datetime.utcnow() + timedelta(minutes=10))
           )
           print("Scheduled flow run: ", result)

   if __name__ == "__main__":
       import asyncio
       asyncio.run(schedule_run())

In this example, the flow run is scheduled to start 10 minutes from the current time. For more details on how to create and manage deployments, you can check out these links from the Prefect documentation: - Deploy Overview - Add Schedules Remember, "Machines can walk and solve your problems, but they don't get the angst of waiting – use schedules wisely!"