LCORE-840: fixed issues found in utils.py

[tisnik]

Description

LCORE-840: fixed issues found in utils.py

Type of change

• Refactor
• New feature
• Bug fix
• CVE fix
• Optimization
• Documentation Update
• Configuration Update
• Bump-up service version
• Bump-up dependent library
• Bump-up library or tool used for development (does not change the final image)
• CI configuration change
• Konflux configuration change
• Unit tests improvement
• Integration tests improvement
• End to end tests improvement

Related Tickets & Documents

• Related Issue #LCORE-840

Summary by CodeRabbit

• Tests
  • Improved type safety and error handling in test utilities for better reliability.

[coderabbitai]

Walkthrough

The pull request adds a return type annotation to the validate_json_partially function and enhances error handling in restart_container by explicitly casting e.stderr to a string during error message formatting.

Changes

Cohort / File(s)	Summary
Type annotations and error handling tests/e2e/utils/utils.py	Added -> None return type annotation to validate_json_partially. Modified restart_container error handling to cast e.stderr to str for safer string formatting.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

Poem

🐰 A type hint here, a cast down there,
The code grows cleaner, with extra care,
Small touches bright as morning dew,
Clarity shines—the rabbit's view! ✨

Pre-merge checks and finishing touches

❌ Failed checks (1 inconclusive)

Check name	Status	Explanation	Resolution
Title Check	❓ Inconclusive	The PR title "fixed issues found in utils.py" uses vague and generic language that lacks specificity about what was actually changed. While the title is related to the changeset (changes are indeed in utils.py), the use of non-descriptive terms like "fixed issues" does not convey meaningful information about the changeset. A teammate scanning through commit history would not understand what these "issues" were without reading the full PR details. The actual changes are a return type annotation addition and a safer string conversion, which are relatively minor improvements to code quality and type safety.	Consider revising the title to be more specific about the actual changes, such as "Add return type annotation and fix string conversion in utils.py" or "Add type annotation to validate_json_partially and improve error handling in utils.py". This would make the purpose of the changes clearer to anyone reviewing the commit history and better convey the nature of the improvements being made.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

✨ Finishing touches

• 📝 Generate docstrings

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment

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[coderabbitai]

Actionable comments posted: 0

🧹 Nitpick comments (1)

tests/e2e/utils/utils.py (1)

140-140: The explicit str() cast is defensive but unnecessary.

Since subprocess.run() is called with text=True (line 136), the stderr attribute is already a string or None. F-strings automatically convert objects to strings, so {e.stderr} would work identically to {str(e.stderr)}.

While the explicit cast is harmless and slightly more defensive, it doesn't fix an actual bug—the previous code would have worked correctly.

📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 782c296 and 4492547.

📒 Files selected for processing (1)

• tests/e2e/utils/utils.py (2 hunks)

🧰 Additional context used

📓 Path-based instructions (2)

**/*.py

📄 CodeRabbit inference engine (CLAUDE.md)

**/*.py: All modules start with descriptive module-level docstrings explaining purpose
Use logger = logging.getLogger(name) for module logging after import logging
Define type aliases at module level for clarity
All functions require docstrings with brief descriptions
Provide complete type annotations for all function parameters and return types
Use typing_extensions.Self in model validators where appropriate
Use modern union syntax (str | int) and Optional[T] or T | None consistently
Function names use snake_case with descriptive, action-oriented prefixes (get_, validate_, check_)
Avoid in-place parameter modification; return new data structures instead of mutating arguments
Use appropriate logging levels: debug, info, warning, error with clear messages
All classes require descriptive docstrings explaining purpose
Class names use PascalCase with conventional suffixes (Configuration, Error/Exception, Resolver, Interface)
Abstract base classes should use abc.ABC and @AbstractMethod for interfaces
Provide complete type annotations for all class attributes
Follow Google Python docstring style for modules, classes, and functions, including Args, Returns, Raises, Attributes sections as needed

Files:

• tests/e2e/utils/utils.py

tests/**/*.py

📄 CodeRabbit inference engine (CLAUDE.md)

tests/**/*.py: Use pytest-mock to create AsyncMock objects for async interactions in tests
Use the shared auth mock constant: MOCK_AUTH = ("mock_user_id", "mock_username", False, "mock_token") in tests

Files:

• tests/e2e/utils/utils.py

🔇 Additional comments (1)

tests/e2e/utils/utils.py (1)

70-70: Good addition of return type annotation.

The return type annotation -> None correctly documents that this function doesn't return a value. This aligns with the coding guidelines requiring complete type annotations for all function parameters and return types.

However, note that this is a code improvement rather than a bug fix—the absence of a return type annotation doesn't cause runtime issues.

As per coding guidelines.