chore: Add github step summaries for e2e test suites

[chmouel]

📝 Description of the Change

Added a workflow step to generate markdown summaries of test results
directly in the continuous integration interface. Providing this
information in the summary view helped developers identify failing
tests immediately without needing to dig through raw execution logs.

Signed-off-by: Chmouel Boudjnah chmouel@redhat.com

🔗 Linked GitHub Issue

Fixes #

🧪 Testing Strategy

• Unit tests
• Integration tests
• End-to-end tests
• Manual testing
• Not Applicable

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✅ Submitter Checklist

• 📝 My commit messages are clear, informative, and follow the project's How to write a git commit message guide. The Gitlint linter ensures in CI it's properly validated
• ✨ I have ensured my commit message prefix (e.g., fix:, feat:) matches the "Type of Change" I selected above.
• ♽ I have run make test and make lint locally to check for and fix any
  issues. For an efficient workflow, I have considered installing
  pre-commit and running pre-commit install to
  automate these checks.
• 📖 I have added or updated documentation for any user-facing changes.
• 🧪 I have added sufficient unit tests for my code changes.
• 🎁 I have added end-to-end tests where feasible. See README for more details.
• 🔎 I have addressed any CI test flakiness or provided a clear reason to bypass it.
• If adding a provider feature, I have filled in the following and updated the provider documentation:
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[gemini-code-assist]

Code Review

This pull request introduces a new Python script, hack/generate_github_summary.py, designed to parse gotestsum JSON output and generate a Markdown summary for GitHub Step Summaries. It also updates the hack/gh-workflow-ci.sh script to integrate this new functionality. Review feedback suggests improving the Python script's error handling for missing files and optimizing the sorting logic within loops for better performance. Additionally, suggestions were made to enhance the bash script's robustness by adding shell options and calling the Python script more idiomatically.

[pipelines-as-code]

🤖 AI Analysis - pr-complexity-rating

Based on the provided information, here is the review triage for the PR.

📊 PR Review Complexity

Dimension	Score	Rationale
Size	1	This is a merge commit from main.
Logic complexity	1	No new business logic; purely synchronization.
Risk	1	Merge commits are routine; provided the CI passed, risk is low.
Cross-cutting	1	Limited to branch synchronization.
Test coverage	5	The CI pipeline passed successfully (status: True).

Overall difficulty: Easy

Summary

This PR is a routine synchronization merge from main into the add-github-step-summary feature branch. The reviewer should verify that the merge did not introduce any unexpected integration conflicts and that the feature branch remains compatible with the current main.

Suggested reviewers focus

• Merge Conflicts: Ensure that no manual resolution errors occurred during the merge process.
• CI Status: Confirm that the successful linters-vwdzf pipeline covers the state of the merged code.

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