Raffael Campos
11/02/2024, 5:11 PMMarvin
11/02/2024, 5:12 PMprefect.yaml
file of your deployment. You can define the events to listen for and specify parameters based on the event data.
Example from the Prefect documentation:
- Ensure triggers are defined in your deployment YAML configuration:
yaml
deployments:
- name: my-deployment
entrypoint: path/to/flow.py:decorated_fn
work_pool:
name: my-work-pool
triggers:
- type: event
match:
prefect.resource.id: my.external.resource
expect:
- external.resource.pinged
2. Use Matching: Utilize the match
field to filter only for events relevant to specific flow runs or resources. You can use this field to filter events based on criteria like the flow run name or deployment ID.
3. Access Flow Run Information: Use the prefect.runtime.flow_run
module to get runtime information about the flow run, such as parameters or the flow name, to construct names or fetch specific data associated.
4. Monitor Events: Set expectations in the trigger configuration using the expect
field to specify what events count toward influencing the trigger.
You can find more details about event triggers and matching on the Prefect 3.0 documentation for custom triggers and how to define them. For deeper insights, further exploration may be required as community discussions, such as on GitHub, suggest enhancements around the runtime evaluation of template variables may influence functionality.
If you are encountering errors or specific issues, checkingPrefect GitHub issues may also help, as they might have discussions on related improvements or bug fixes. For instance, Lazy templating for deployments in prefect.yaml documents some enhancements around deployment time evaluations.
Feel free to ask if you need more specific guidance or have other questions!Raffael Campos
11/02/2024, 5:13 PMtriggerOnIngestion = DeploymentEventTrigger(
name="trigger-on-ingestion",
match={"prefect.resource.id": [ "prefect.flow-run.*" ]},
posture="Reactive",
threshold=1,
after=[
ingestion_event
],
expect=[
"prefect.flow-run.Completed"
],
for_each=[
"related:flow-run:prefect.resource.id"
],
within=600
)
this isn't working to match both on the for_eachMarvin
11/02/2024, 5:14 PMDeploymentEventTrigger
to match custom events with their associated flow runs using the for_each
and match
fields. Here are some key points to help ensure the setup functions correctly:
1. Declare Related Resources: In Prefect, when using event triggers, make sure that the resources and related items are correctly defined. The match_related
fields are crucial for targeting events that pertain to specific resources in your flow run or deployment scenario. This involves specifying resources like prefect.resource.id
, which should correctly reference your desired flow runs or other relevant entities.
2. Correct Filtering: Ensure that the match
field is accurately filtering the desired events. The "prefect.resource.id" should be mapped correctly to the events you are targeting, such as specific flow runs. Check that the wildcard usage like "prefect.flow-run.*" is appropriate for the granularity you're hoping to achieve.
3. Iterating Over Related Resources: With for_each
, ensure that you're iterating over valid resource lists that are being emitted during the event. The parameter related:flow-run:prefect.resource.id
must be available and valid in the event context.
4. Consult Documentation for Examples: You can use examples from Prefect documentation to guide your setup. Explore how compound or sequence triggers integrate underlying triggers to ensure that all needed conditions are properly evaluated.
5. Check for Other Issues: If the above doesn't resolve the issue, review the specific event context being emitted during your flow runs to ensure that all necessary properties are present and correct for evaluation.
For more detailed examples, you might find the Prefect 3.0 documentation on custom triggers useful. The documentation elaborates on how to precisely scaffold event conditions and the interplay between different events.
If you continue to experience difficulties, verifying against your specific Prefect setup, or exploring community discussions could uncover new insights.