[agrawalkhushi18]

Summary

Adds an end-to-end integration test (test-gcluster-job-sps.yml) for Shared Pathways Service (SPS) deployment (--pathways-deploy-sps) and inspection (gcluster job inspect --filter pathways-sps), wired into gke-tpu-v5e, gke-tpu-v5p, and gke-tpu-v6e.

Changes

• test-gcluster-job-sps.yml:
  • Dry-run check: Validates generated --pathways-deploy-sps JobSet manifest structure, env vars, and restart/backoff defaults.
  • Live deploy & inspect check: Deploys an SPS instance, waits for pods and Pathways slices to become ready, verifies gcluster job inspect --filter pathways-sps --show output (Status: Running, endpoint, and slice readiness), and cleans up via gcluster job cancel.
• tests/gke-tpu-v5e.yml, gke-tpu-v5p.yml, gke-tpu-v6e.yml: Adds test-validation/test-gcluster-job-sps.yml to post_deploy_tests.

Submission Checklist

NOTE: Community submissions can take up to 2 weeks to be reviewed.

Please take the following actions before submitting this pull request.

• Fork your PR branch from the Toolkit "develop" branch (not main)
• Test all changes with pre-commit in a local branch #
• Confirm that "make tests" passes all tests
• Add or modify unit tests to cover code changes
• Ensure that unit test coverage remains above 80%
• Update all applicable documentation
• Follow Cluster Toolkit Contribution guidelines #

[gemini-code-assist]

Summary of Changes

Hello, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces automated integration testing for the GCluster Shared Pathways Service (SPS). The changes include a new validation playbook that performs a dry-run, deploys an SPS instance, verifies its readiness, and confirms that the inspection filter correctly reports the job status. These tests have been added to the daily test suites for various TPU configurations to ensure ongoing stability of the SPS workflow.

Highlights

• New Integration Test: Added a new Ansible playbook to validate the GCluster Shared Pathways Service (SPS) deployment and inspection workflows.
• Test Suite Updates: Integrated the new SPS integration test into existing GKE TPU v5e, v5p, and v6e test suites.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize the Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counterproductive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for GitHub and other Google products, sign up here.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request introduces a new Ansible playbook (test-gcluster-job-sps.yml) to validate the GCluster Shared Pathways Service (SPS) workflow, covering dry-run validation, deployment, and inspection. This test is integrated into the daily post-deploy test suites for GKE TPU v5e, v5p, and v6e. Feedback on the playbook suggests simplifying the log retrieval process by using kubectl logs -l with a label selector instead of a multi-step shell pipeline involving kubectl get pod with jsonpath to avoid potential errors.

[gemini-code-assist]

Instead of querying the pod name using kubectl get pod with jsonpath and then passing it to kubectl logs, you can stream the logs directly using a label selector with kubectl logs -l. This simplifies the shell script, avoids potential errors when no pods are returned, and aligns with the general best practice of avoiding noisy jsonpath queries on empty/missing resources.

    ansible.builtin.shell: |
      set -eo pipefail
      kubectl logs -l jobset.sigs.k8s.io/jobset-name={{ sps_job_name }},jobset.sigs.k8s.io/replicatedjob-name=pathways-head -c pathways-rm | grep -E "[0-9]+/[0-9]+ Pathways Slices Now Ready"

References

1. When executing kubectl commands to inspect optional fields on Kubernetes resources, avoid noisy and misleading warnings/errors from jsonpath when resources are missing or empty.