Frank
01/09/2025, 8:30 PMMarvin
01/09/2025, 8:30 PMprefect.yaml
file or through the Prefect CLI.
To achieve your goal of triggering a new flow run 10 seconds after the previous run, you can use the Interval schedule. Here's a brief outline of how you might set this up:
1. Define an Interval Schedule: You can set up an interval schedule to run every 10 seconds. This can be done in the prefect.yaml
file or through the Prefect CLI.
2. Deployment Configuration: When deploying your flow, specify this interval schedule. The deployment will then automatically handle triggering the flow at the specified intervals.
Here's a snippet of what the relevant part of your prefect.yaml
might look like:
yaml
schedules:
- type: Interval
interval: 10 # in seconds
For more detailed guidance, you can refer to the Prefect documentation on scheduling.
If you want to manually control this logic in your flow using Python, you could introduce a delay at the end of your flow execution using something like time.sleep(10)
before the flow completes. However, using Prefect's built-in scheduling is the recommended approach for automation.
If you need any further help setting up your Prefect environment, feel free to ask!Frank
01/09/2025, 8:34 PMMarvin
01/09/2025, 8:34 PManchor_date
. The interval is calculated from the start time of the previous flow run. This means that if you set an interval of 10 seconds, the next flow run will start 10 seconds after the start of the previous run, not after it finishes.
For more details on scheduling, you can refer to the Prefect documentation on scheduling.Frank
01/09/2025, 8:35 PMMarvin
01/09/2025, 8:35 PMpython
from prefect import flow, task
import time
from prefect.client import get_client
@task
def wait_and_trigger_next_run(flow_id):
time.sleep(10) # Wait for 10 seconds
client = get_client()
client.create_flow_run(flow_id=flow_id)
@flow
def my_flow():
# Your flow tasks here
wait_and_trigger_next_run(flow_id="your-flow-id")
# Deploy and run your flow
This approach involves using a task at the end of your flow to introduce a delay and then using the Prefect Client to trigger the next flow run. You will need to replace "your-flow-id"
with the actual ID of your flow.
For more advanced scheduling and task handling, you might need to explore Prefect's capabilities further or consider additional orchestration logic outside of Prefect. For more information, you can refer to the Prefect documentation.Frank
01/09/2025, 8:39 PMMarvin
01/09/2025, 8:40 PMprefect.flow-run.Running
event is not seen within a certain timeframe.
2. Trigger Configuration: You can configure this using Prefect's event-driven automation features. You'll need to define a trigger that checks for the absence of a Running
state for your flow runs.
Here's a conceptual example of what you might configure:
yaml
triggers:
- type: proactive
event: prefect.flow-run.Running
within: 60 # seconds
threshold: 0 # No running events
actions:
- type: notify
message: "No running flow runs detected for the specified flow."
This configuration will notify you if no flow runs enter the Running
state within the specified time window.
For more details on setting up custom triggers, you can refer to the Prefect documentation on custom triggers.Frank
01/09/2025, 10:10 PMclient.create_flow_run(flow_id=flow_id)
above but got error PrefectClient.create_flow_run() got an unexpected keyword argument 'flow_id'
. Could you help me how to resolve it?Marvin
01/09/2025, 10:11 PMcreate_flow_run
in the Prefect Client. The create_flow_run
method does not accept a flow_id
argument directly. Instead, you should provide a deployment ID if you're creating a run for a specific deployment.
Here's a corrected approach:
1. Use Deployment ID: Ensure you have the correct deployment ID for the flow you want to run.
2. Use the Correct Method: Use the create_flow_run_from_deployment
method if you want to create a flow run from a deployment.
Here's how you might use it:
python
from prefect.client import get_client
async def trigger_flow_run(deployment_id):
async with get_client() as client:
flow_run = await client.create_flow_run_from_deployment(deployment_id=deployment_id)
print(f"Flow run created: {flow_run.id}")
# Example usage
deployment_id = "your-deployment-id"
trigger_flow_run(deployment_id)
Make sure to replace "your-deployment-id"
with the actual deployment ID you are targeting. This method should correctly create a new flow run for the specified deployment.