@Marvin we have prefect flows running on kubernetes and as we know prefect flows have unique names. So whenever we have an issue and we want to looks at the kubernetes it is very hard to find the pods as they also gets the flow random name . can we somehow set the flow name in the way that pods also gets the same name?

It seems there isn't direct documentation or an example specifically for setting Kubernetes pod names from Prefect flow names. However, you can influence the pod names by using Kubernetes' native pod naming conventions and customizing the metadata when defining the job. Here's a general approach for customizing the Kubernetes pod names for your Prefect flows, inspired by the idea of setting metadata or using a template: 1. Customize the Pod Template: You can define a custom pod template in Prefect for your Kubernetes jobs, where you can set a specific name pattern. 2. Set Flow Metadata: You can set metadata for your flow runs which can then be referenced in the pod spec. ### Example

python
from prefect import flow, task
from prefect.infrastructure.kubernetes import KubernetesJob

@task
def example_task():
    print("Running task")

@flow(name="custom-pod-name-flow")
def custom_pod_name_flow():
    example_task()

if __name__ == "__main__":
    # Define a custom pod template
    kubernetes_job = KubernetesJob(
        namespace="your-namespace",
        image="your-docker-image",
        job_template={
            "metadata": {
                "name": "{{ flow_run.name }}-pod",
                "labels": {
                    "flow": "{{ flow_run.flow_id }}"
                }
            }
        }
    )

    # Deploy this flow with the custom Kubernetes job
    custom_pod_name_flow.deploy(
        name="custom-pod-name-deployment",
        infrastructure=kubernetes_job,
        apply=True
    )

This code showcases how to define a Kubernetes job with a custom pod naming template that includes the flow run name. Replace

"your-namespace"

and

"your-docker-image"

with your actual namespace and Docker image. ### References - Prefect API: Customizing Kubernetes Jobs - Kubernetes API: Pod Naming Hope this helps you get more control over your pod naming and makes it easier to find the relevant pods when issues arise! If you have any more specific requirements or run into issues, feel free to ask.

@Marvin I want this name to be set by us when running the flow Job 'sticky-corgi-px7qk': Starting watch for pod start...

Unfortunately, the searches didn't yield directly relevant documentation or examples for dynamically setting Kubernetes pod names when running a Prefect flow. However, we can leverage Prefect's ability to customize task and flow names during a run to influence the pod name. Here's a potential workaround: ### Example: Customizing Pod Name During Flow Run 1. Create a Custom KubernetesJob: Define a Kubernetes infrastructure block with a customizable job template. 2. Use Run Configurations to Set Pod Name: During the flow run, set environment variables and use them to configure the pod name. Here's an illustrative example:

python
from prefect import flow, task
from prefect.infrastructure.kubernetes import KubernetesJob
import os

@task
def example_task():
    print("Running task")

@flow(name="custom-pod-name-flow")
def custom_pod_name_flow(custom_name):
    # Set an environment variable for the pod name
    os.environ["PREFECT_JOB_NAME"] = custom_name
    example_task()

if __name__ == "__main__":
    # Define a custom Kubernetes job
    kubernetes_job = KubernetesJob(
        namespace="your-namespace",
        image="your-docker-image",
        job_template={
            "metadata": {
                "name": "{{ flow_run.name }}-{{ env.PREFECT_JOB_NAME }}",
                "labels": {
                    "flow": "{{ flow_run.flow_id }}"
                }
            }
        }
    )

    # Deploy this flow with the custom Kubernetes job
    custom_pod_name_flow.deploy(
        name="custom-pod-name-deployment",
        infrastructure=kubernetes_job,
        apply=True
    )

    # Run the flow with a custom name
    result = custom_pod_name_flow("custom-name")

### Explanation 1. Custom Task and Flow: Define a custom task and flow. The flow takes a

custom_name

parameter to influence the pod name. 2. Environmental Variable: Use environment variables like

PREFECT_JOB_NAME

to customize the pod name template dynamically. 3. KubernetesJob Infrastructure: Define a custom job template and use the environment variable in the pod's metadata. While this solution provides a pattern, you may need to adjust the specifics to better match your Kubernetes setup and naming conventions. ### References - Prefect Docs: KubernetesJob - Kubernetes Docs: Pod Templates Feel free to adapt and expand upon this example to better suit your needs! If you encounter any specific challenges, please let me know.

why does kubernetes pods are not taking the name specified in the flow_run_name parameter in the flow?

The discussion from Prefect's GitHub repository suggests that, while Prefect allows setting custom

flow_run_name

and

task_run_name

parameters, this naming does not directly propagate to Kubernetes pod names. Currently, it appears that Kubernetes pod names are generated independently of these parameters. GitHub issue. ### Why

flow_run_name

Doesn't Influence Pod Names Directly From what has been gathered: - The

flow_run_name

and

task_run_name

are used within the Prefect ecosystem to label and manage specific tasks and flows. - The Kubernetes integration relies on Prefect's agents or workers to spawn pods, and those pods are named based on Prefect-specific templates and mechanisms. ### Proposed Workaround To influence pod names more directly, you can customize the pod template by embedding the flow run name as part of the metadata. Here’s how you can integrate it: ### Example Code

python
from prefect import flow, task
from prefect.infrastructure.kubernetes import KubernetesJob
import uuid

@task
def example_task():
    print("Running task")

@flow(name="custom-pod-name-flow")
def custom_pod_name_flow():
    # Create a unique custom name using the flow run name
    flow_run_id = str(uuid.uuid4())
    custom_name = f"flow-run-{flow_run_id}"
    
    # Print the custom name for verification
    print(f"Running flow with custom pod name: {custom_name}")
    
    example_task()

if __name__ == "__main__":
    # Define a custom Kubernetes job
    kubernetes_job = KubernetesJob(
        namespace="your-namespace",
        image="your-docker-image",
        job_template={
            "metadata": {
                "name": "{{ flow_run.name }}-{{ env.CUSTOM_NAME }}",
                "labels": {
                    "flow": "{{ flow_run.flow_id }}"
                }
            }
        }
    )

    # Deploy this flow with the custom Kubernetes job
    custom_pod_name_flow.deploy(
        name="custom-pod-name-deployment",
        infrastructure=kubernetes_job,
        apply=True
    )

    # Set the custom name when running the flow
    result = custom_pod_name_flow.with_options(
        run_config=KubernetesJob(
            job_template={
                "metadata": {
                    "name": f"flow-run-pod-{uuid.uuid4()}"
                }
            }
        )
    )()

### Explanation 1. Flow Definition: Define a flow and a corresponding task. 2. Custom Kubernetes Job: Create a Kubernetes job with a metadata template referencing an environment variable or a dynamically created string for the pod name. 3. Deploy the Flow: The flow deployment includes the custom Kubernetes job template. 4. Run the Flow with Custom Name: Use

with_options

and

run_config

to pass the dynamically created pod name. ### References - Deployments in Prefect 2.0 - Kubernetes Job Configuration To ensure that the pods use the provided custom names, you'll need to customize the pod templates accordingly. This approach modifies the Kubernetes pod metadata to include custom naming dynamically. If there are more specific requirements or if issues persist, further customization within the KubernetesJob templates might be necessary.

@Marvin I am using the prefect worker and I need the configuration according to my custom flow name instead of random names assigned to a flow

Unfortunately, it seems there isn't direct documentation that explicitly details setting Kubernetes pod names based on custom flow names using Prefect workers. However, there is a potential workaround using deployment and infrastructure customization that might meet your needs. ### Workaround: Customizing Kubernetes Job Names via Deployment Here's how you can set the pod name in Kubernetes with Prefect workers dynamically: 1. Create a Deployment with a Custom Job Template: Customize the job template to dynamically set the pod name based on the flow run name. ### Example Code

python
from prefect import flow, task
from prefect.deployments import Deployment
from prefect.infrastructure.kubernetes import KubernetesJob
import uuid

@task
def example_task():
    print("Running task")

@flow
def custom_name_flow():
    # Create a custom pod name based on flow run name or any custom logic
    flow_run_name = f"flow-run-{str(uuid.uuid4())[:8]}"
    print(f"Custom pod name for this flow run: {flow_run_name}")
    example_task.submit()

if __name__ == "__main__":
    # Define the custom Kubernetes job with the pod name logic
    kubernetes_job = KubernetesJob(
        name="custom-k8s-job",
        namespace="your-namespace",
        image="your-docker-image",
        job_template={
            "metadata": {
                "name": f"{{ flow_run.name }}-{{ flow_run_name }}",
                "labels": {
                    "flow": "{{ flow_run.flow_id }}"
                }
            }
        }
    )

    # Create and apply the deployment
    deployment = Deployment(
        flow=custom_name_flow,
        name="custom-k8s-deployment",
        work_pool_name="your-work-pool-name",
        infrastructure=kubernetes_job,
        flow_run_name_template="custom-flow-run-{uuid}"
    )
    deployment.apply()

    # Run the flow to see the customized pod name
    custom_name_flow()

### Explanation 1. Flow and Task Definition: Define the flow and the task. 2. Custom Kubernetes Job: Create a

KubernetesJob

object with a custom job template that includes a metadata block referencing the custom flow run name and UUID. 3. Define Deployment: Create a deployment using the custom job template and apply it. This registers the deployment with Prefect. 4. Run the Flow: Execute the flow. The pod names created should reflect the custom naming pattern. ### Considerations & Adjustments - Adjust the job template to match your specific conventions and requirements. - Ensure the

namespace

and

image

fields are correctly set to match your Kubernetes environment. - This approach leverages the Prefect API to dynamically set the pod's metadata by utilizing the flow run name or a custom UUID. If this approach doesn't directly fit your requirements, consider opening an enhancement request or issue with Prefect, referencing the need for more dynamic control over Kubernetes pod names generated by flow runs specifically handled with Prefect workers. For now, this workaround should help you avoid using purely random names and manage pod naming more predictably. ### References - Prefect Kubernetes Infrastructure - Prefect GitHub Issues: Apply custom `flow_run_name` to Kubernetes pods Feel free to adapt the code further based on your exact use case. If you encounter any specific issues or need further refinement, just let me know!