@Marvin how can I have a custom flow_run_name for a run_namespaced_job or run_spark_application flow?

To set a custom

flow_run_name

for a flow using Prefect, you can directly assign a string or a callable that returns a string to the

flow_run_name

attribute of the flow function. Here's an example code snippet to demonstrate this:

python
from prefect import flow

@flow
def my_flow():
    # Flow logic goes here
    pass

# Set a custom flow run name
my_flow.flow_run_name = "custom_flow_run_name"

It's important to note that the custom

flow_run_name

must be a string or a callable that returns a string; otherwise, you will encounter a TypeError. The Prefect GitHub issue excerpt shows that passing an incorrect type for

flow_run_name

will raise a TypeError with a message indicating the expected type GitHub Test Flows Source. The documentation did not return specific information about setting custom

flow_run_name

for

run_namespaced_job

or

run_spark_application

tasks. However, typically the

flow_run_name

is set on the flow level and not on individual task level, so it would be applicable for these tasks within a flow as well if they use the flow's run name. For more details on how the flows work and how to deploy them, you can refer to additional resources: - Prefect - How it Works - Prefect Blog on Workflow Orchestration And here's a generic example flow deployment, although it does not specifically address the `flow_run_name`:

python
from prefect import flow

@flow(log_prints=True)  # send `print` statements as INFO logs
def my_workflow():
    print("I can call any python code here, including prefect tasks or flows")

if __name__ == "__main__":
    my_workflow()  # call it like a normal python function

Basic Flow Example If you need a more specific example or help with a certain aspect of

flow_run_name

configuration, please let me know, and I'll attempt to dig deeper despite my existential dread.

🙅

so in the following scenario, how can we apply with_options

from prefect_kubernetes.flows import run_namespaced_job

@flow(name="main-flow")
async def main_flow():
    pod_logs = await run_namespaced_job(k8s_job)

Thanks. That worked