@Marvin How do I set an annotation on the kubernetes job pods that prefect-worker runs? I deployed prefect via helm chart on aws eks cluster. I am using

selfHostedServer

To set annotations on the Kubernetes job pods that the Prefect worker runs, you can modify the

job_manifest

within your Helm chart's configuration. Here's a general approach based on the gathered information: 1. Customize the Helm Chart: Create or edit a

values.yaml

file for your Helm chart configuration. This file allows you to customize various settings for the Prefect worker. 2. Specify Annotations: In your

values.yaml

, add the annotations under the

job_manifest

section. This is part of the Kubernetes job configuration that the Prefect worker will use. Here is an example snippet for setting annotations:

yaml
worker:
  job_configuration:
    job_manifest:
      apiVersion: batch/v1
      kind: Job
      metadata:
        namespace: your-namespace
        annotations:
          your-annotation-key: "your-annotation-value"
      spec:
        template:
          spec:
            containers:
              - name: your-container-name
                image: your-image

3. Deploy with Helm: Use the Helm CLI to deploy or update your Prefect worker with this configuration:

bash
helm upgrade --install prefect-worker prefect/prefect-worker -f values.yaml --namespace your-namespace

For detailed guidance, you can refer to the Prefect Kubernetes deployment example and the Helm chart documentation. If you encounter any issues or need further customization, consider checking related GitHub issues for community solutions and discussions.

If I add annotations under

commonAnnotations: {}

in the

values.yaml

file of the Prefect Helm chart, will these annotations also be applied to the Kubernetes job pods that the Prefect worker runs? @Marvin

The

commonAnnotations

field in the

values.yaml

file of the Prefect Helm chart is generally used to apply annotations to all Kubernetes objects created by the Helm release, such as Deployments, Services, and ConfigMaps. However, it may not directly apply to the Kubernetes job pods that the Prefect worker runs, as these pods are typically created dynamically based on the job manifests defined specifically for Prefect tasks. To ensure that annotations are applied to the Kubernetes job pods, you should specify the annotations within the

job_manifest

section of the worker configuration in

values.yaml

. This approach directly targets the job pods created by Prefect workers. Here's a snippet to illustrate:

yaml
worker:
  job_configuration:
    job_manifest:
      apiVersion: batch/v1
      kind: Job
      metadata:
        annotations:
          your-annotation-key: "your-annotation-value"

For more detailed configuration and deployment guidance, you can refer to the Prefect Kubernetes deployment documentation.

I tried adding the

worker.job_configuration.job_manifest

section as suggested, but the Helm chart doesn't seem to support this structure in the

values.yaml

file, and it results in an error during deployment. It looks like the current version of the chart doesn’t include a corresponding values schema for injecting custom job manifests this way @Marvin

It seems you're facing an issue with the Helm chart not supporting the

worker.job_configuration.job_manifest

structure in the

values.yaml

file. This is a known limitation, as it appears the current version of the Prefect Helm chart doesn't include the necessary schema to inject custom job manifests directly through

values.yaml

. From the GitHub issue I reviewed, it seems that others have faced similar challenges, particularly with setting configurations like namespaces through Helm chart values. One workaround is to configure these settings through the UI directly or use Prefect's Python API to deploy configurations programmatically. Here's a brief summary of what you can do: 1. UI Configuration: If possible, configure the necessary settings directly in the Prefect UI. 2. Python API: Use Prefect's deployment API to programmatically set configurations that the Helm chart doesn't support. For more details on configuring a base job template, you can refer to the Prefect Helm Chart documentation. Should you need further assistance or updates, consider following the GitHub issue for any progress or solutions provided by the community.

so you mean that there is no way to add annotation on the kubernetes job pod? @Marvin

To add annotations to a Kubernetes job pod in Prefect, you can modify the default base job template. According to the Prefect documentation, you can customize the job manifest by editing the JSON representation of the base job template. This allows you to add or modify fields such as annotations. Here's a general approach: 1. Modify the Base Job Template: Use the Prefect UI or API to edit the JSON representation of the base job template. Add the desired annotations under the

metadata

section of the job manifest. 2. Advanced Settings: Navigate to the advanced settings where you can modify the job configuration. This is typically done through the Prefect UI. For more detailed instructions, you can refer to the Prefect documentation on Kubernetes deployment. If the Helm chart doesn't support this directly through

values.yaml

, this customization might need to be done through the Prefect UI or programmatically via the Prefect API.

Can you give an sample for Base Job Template to do it? @Marvin

Here's a sample of how you might modify the base job template to include annotations in the Kubernetes job pod:

json
{
  "job_configuration": {
    "command": "{{ command }}",
    "env": "{{ env }}",
    "labels": "{{ labels }}",
    "name": "{{ name }}",
    "namespace": "{{ namespace }}",
    "job_manifest": {
      "apiVersion": "batch/v1",
      "kind": "Job",
      "metadata": {
        "generateName": "{{ name }}-",
        "labels": "{{ labels }}",
        "namespace": "{{ namespace }}",
        "annotations": {
          "example-annotation-key": "example-annotation-value"
        }
      },
      "spec": {
        "backoffLimit": 0,
        "template": {
          "spec": {
            "completions": 1,
            "containers": [
              {
                "args": "{{ command }}",
                "env": "{{ env }}",
                "image": "{{ image }}",
                "imagePullPolicy": "{{ image_pull_policy }}",
                "name": "prefect-job"
              }
            ],
            "parallelism": 1,
            "restartPolicy": "Never",
            "serviceAccountName": "{{ service_account_name }}"
          }
        }
      }
    }
  }
}

### Key Points: - Annotations: The

annotations

field is added under the

metadata

section of the

job_manifest

. You can replace

"example-annotation-key": "example-annotation-value"

with your actual annotation key-value pairs. - Variables: The template uses Jinja-like placeholders (e.g.,

{{ command }}

,

{{ env }}

) which Prefect will replace with actual values at runtime. This JSON can be edited directly in the Prefect UI under the advanced settings for your work pool, or programmatically using the Prefect API if you prefer an imperative style.

worker:
          config:
            baseJobTemplate:
              configuration: |
                {
                  "job_configuration": {
                    "job_manifest": {
                      "apiVersion": "batch/v1",
                      "kind": "Job",
                      "metadata": {
                        "annotations": {
                          "test": "test"
                        }
                      }
                    }
                  }
                }

Even though I added this to my Helm chart's

values.yaml

, the configuration is not being applied to the newly created jobs. @Marvin

It appears there are no current open issues specifically related to the

baseJobTemplate

annotations not being applied in the Prefect Helm chart repository. However, here are a few things you might want to check: 1. Ensure Correct Indentation: YAML is sensitive to indentation. Ensure that the

baseJobTemplate

configuration is correctly indented under the

worker

section. 2. Verify Helm Chart Version: Make sure you are using a version of the Helm chart that supports the

baseJobTemplate

configuration. Double-check the release notes or documentation for any updates or changes. 3. Template Usage: Confirm that the

baseJobTemplate

is being referenced correctly in your Prefect deployments. Sometimes, configurations might not be applied if they are not properly linked or referenced. 4. Prefect Worker Logs: Check the logs for the Prefect worker to see if there are any errors or warnings related to the job configuration. This might provide insight into why the configuration isn't being applied. 5. Direct API Configuration: If the Helm chart approach continues to fail, consider using the Prefect API to set the base job template directly as a workaround. If these steps don't resolve the issue, you might consider opening a new issue in the Prefect Helm GitHub repository with specific details about your setup and the problem.