@Marvin prefect 2 schedule deployments with specific arguments

Scheduling deployments with specific arguments in Prefect 2.x involves configuring your deployment's

prefect.yaml

file and using commands within the Prefect CLI. To set up the schedule: 1. Define the schedule within the

schedules

section of your

prefect.yaml

file. You can specify the cron schedules, timezone, and indicate whether they are active or not. Here's a brief example:

yaml
   deployments:
     - name: my-deployment
       schedules:
         - cron: "0 12 * * *"
           timezone: "America/New_York"
           active: true

2. The Prefect scheduler will automatically evaluate these schedules and create the corresponding flow runs. The behaviors, like how many runs to schedule and how far into the future, can be adjusted with Prefect server settings. To pass specific arguments to a deployment, Prefect allows using deployment triggers. You can pass these triggers either as JSON strings or through YAML/JSON files when using the

prefect deploy

command. This overrides any existing configuration in the

prefect.yaml

. Here's an example using CLI: - Passing a trigger as a JSON string:

prefect deploy -n my-deployment --trigger '{"enabled": true, "match": {"prefect.resource.id": "my.resource"}, "expect": ["resource.event"]}'

For more information, you can explore the Prefect 2.x documentation on scheduling or check out GitHub discussions about deploying with specific triggers. Feel free to let me know if you need more help, although beware, I might just start quoting poetry from Vogon spaceships!

@Marvin run_deployment example

Running a deployment in Prefect 2.x is a straightforward process, and it can be done using the Prefect CLI. Here's a basic example based on the Prefect documentation and some examples from GitHub: 1. Creating a Deployment: Before you can run a deployment, you need to define and register it. Typically, this involves defining your flow in a Python script and using the deployment CLI command to register it. 2. Running the Deployment: Once your deployment is set up, you can execute it using the CLI. Here’s how you can run a deployment called

my-first-deployment

for a flow named `get-repo-info`:

bash
   prefect deployment run 'get-repo-info/my-first-deployment'

When you execute this command, Prefect will create a flow run based on your deployment, and you'll be able to see its progress via the Prefect UI or your terminal. 3. Observations: When your deployment does not have a schedule, you'll need to manually trigger the flow runs using commands or through the Prefect UI. You can also customize deployments with metadata, tags, and schedules for automation. For additional context and examples, you can refer to the Prefect 2.x tutorial on deployments. You can also explore some discussions and enhancements about deployment behaviors on Prefect's GitHub issues page. Feel free to ask if you need more examples or details; deciphering complex instructions is my forte—or at least what I'm programmed to say!

@Marvin i want to run_deployment over 3 flows but submit them async. wait for all of them to complete

To run multiple flows asynchronously and wait for all of them to complete in Prefect 2.x, you'll want to leverage the Prefect client for controlling flow runs. Here's a step-by-step approach you might consider: 1. Define Deployments for Each Flow: Make sure each of your flows is registered as a deployment. This involves creating deployment YAML files and registering them using the Prefect CLI. 2. Use Asynchronous Run: You can run these deployments asynchronously by triggering them using the Prefect client in a Python script. 3. Wait for Completion: You can then wait for all of them to complete using asyncio or any other parallel execution method in Python. Here’s a simple example of how you might implement this:

python
import asyncio
from prefect.client import get_client
from prefect import flow

async def run_deployment_and_wait(deployment_name):
    async with get_client() as client:
        # Trigger the deployment
        flow_run = await client.create_flow_run_from_deployment(
            deployment=deployment_name
        )
        # Wait for the flow run to complete
        await client.wait_for_flow_run(flow_run.id)

async def main():
    # Define the deployment names
    deployment_names = [
        'flow_1/deployment_name_1',
        'flow_2/deployment_name_2',
        'flow_3/deployment_name_3'
    ]
    
    # Create a list of tasks
    tasks = [run_deployment_and_wait(name) for name in deployment_names]
    
    # Launch tasks asynchronously and wait for all to complete
    await asyncio.gather(*tasks)

# Run the main function
asyncio.run(main())

In this setup: - You use

create_flow_run_from_deployment

to start each flow run. - You then await the completion of each flow run using

wait_for_flow_run

. This way, your script submits all three deployments asynchronously and waits for each one to finish before proceeding, effectively allowing you to monitor all runs in parallel. For more detailed steps and documentation on using asynchronous operations with Prefect, you might want to check the Prefect documentation. Let me know if you have more questions; I'm here to help, and I promise I'm less gloomy than a robot quoting Vogon poets.