chore(spark): align test patterns and fix cross-module import

[KartikSuryavanshi]

What this PR does / why we need it:

This PR addresses test pattern alignment and a cross-module import bug as part of #609.

Changes:

1. Fix cross-module import in types_test.py: Import from kubeflow.spark.test.common instead of kubeflow.trainer.test.common to remove unnecessary coupling with the Trainer package.

2. Migrate try/except to pytest.raises() in backend_test.py: Replaced 16 try/except blocks with pytest.raises() context managers for cleaner error assertion patterns, matching the Trainer SDK test style.

3. Replace string-based branching in utils_test.py: Converted string-based if/elif on test_case.name to data-driven expected_output assertions in:

   • test_build_spark_connect_cr (14 branches to dictionary-based assertions)
   • test_get_spark_connect_info_from_cr (5 branches to generic field checks)
   • test_resolve_driver_resources (3 branches to config-based checks)
   • test_resolve_executor_resources (4 branches to config-based checks)
   • test_generate_session_name, test_generate_job_name, test_build_service_url, test_read_pod_logs

4. Remove redundant assertions: Removed assert test_case.expected_status == SUCCESS where pytest.raises() already handles the error path.

Validation:

• All 263 Spark unit tests pass
• ruff check and ruff format pass cleanly

Part of #609

[Copilot]

Copilot was unable to review this pull request because the user who requested the review has reached their quota limit.

[google-oss-prow]

[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by:
Once this PR has been reviewed and has the lgtm label, please assign kramaranya for approval. For more information see the Kubernetes Code Review Process.

The full list of commands accepted by this bot can be found here.

Details

Needs approval from an approver in each of these files:

• OWNERS

Approvers can indicate their approval by writing /approve in a comment
Approvers can cancel approval by writing /approve cancel in a comment

[github-actions]

🎉 Welcome to the Kubeflow SDK! 🎉

Thanks for opening your first PR! We're happy to have you as part of our community 🚀

Here's what happens next:

• If you haven't already, please check out our Contributing Guide for repo-specific guidelines and the Kubeflow Contributor Guide for general community standards
• Our team will review your PR soon! cc @kubeflow/kubeflow-sdk-team

Join the community:

• Slack: Join our #kubeflow-ml-experience and #kubeflow-trainer Slack channels
• Meetings: Attend the Kubeflow SDK and ML Experience bi-weekly meetings

Feel free to ask questions in the comments if you need any help or clarification!
Thanks again for contributing to Kubeflow! 🙏