Skip some tests in test_mcp_client_base.py to avoid blocking CI

[yczhang-nv]

Description

Some tests with asyncio.sleep() is randomly failing in CI tasks. Skip those to avoid them blocking CI.

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• We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original work, or you have rights to submit it under the same license, or a compatible license.
  • Any contribution which contains commits that are not Signed-Off will not be accepted.
• When the PR is ready for review, new or existing tests cover these changes.
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Summary by CodeRabbit

• Tests
  • Temporarily skipped two reconnect backoff timing tests to reduce CI flakiness in continuous integration.
  • Improves reliability of pipeline runs while investigation continues.
  • No impact on application functionality or user experience; all other tests remain unchanged and continue to validate core behavior.

[coderabbitai]

Walkthrough

Two tests in tests/nat/mcp/test_mcp_client_base.py were marked with pytest.skip, disabling test_reconnect_backoff_timing and test_reconnect_max_backoff_limit due to CI race conditions. No other files or logic were changed.

Changes

Cohort / File(s)	Change Summary
Tests: Skip flaky reconnect backoff tests tests/nat/mcp/test_mcp_client_base.py	Added pytest.mark.skip to test_reconnect_backoff_timing and test_reconnect_max_backoff_limit, disabling them in CI.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

Suggested labels

improvement

Pre-merge checks and finishing touches

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title Check	✅ Passed	The title uses imperative mood, clearly describes skipping tests in test_mcp_client_base.py to prevent CI blocking, is concise within the 72-character limit, and accurately reflects the changes made in this pull request.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

✨ Finishing touches

• 📝 Generate Docstrings

🧪 Generate unit tests

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

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Actionable comments posted: 1

📜 Review details

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 3f6c917 and cb91aac.

📒 Files selected for processing (1)

• tests/nat/mcp/test_mcp_client_base.py (2 hunks)

🧰 Additional context used

📓 Path-based instructions (5)

**/*.{py,yaml,yml}

📄 CodeRabbit inference engine (.cursor/rules/nat-test-llm.mdc)

**/*.{py,yaml,yml}: Configure response_seq as a list of strings; values cycle per call, and [] yields an empty string.
Configure delay_ms to inject per-call artificial latency in milliseconds for nat_test_llm.

Files:

• tests/nat/mcp/test_mcp_client_base.py

**/*.py

📄 CodeRabbit inference engine (.cursor/rules/nat-test-llm.mdc)

**/*.py: Programmatic use: create TestLLMConfig(response_seq=[...], delay_ms=...), add with builder.add_llm("", cfg).
When retrieving the test LLM wrapper, use builder.get_llm(name, wrapper_type=LLMFrameworkEnum.) and call the framework’s method (e.g., ainvoke, achat, call).

**/*.py: In code comments/identifiers use NAT abbreviations as specified: nat for API namespace/CLI, nvidia-nat for package name, NAT for env var prefixes; do not use these abbreviations in documentation
Follow PEP 20 and PEP 8; run yapf with column_limit=120; use 4-space indentation; end files with a single trailing newline
Run ruff check --fix as linter (not formatter) using pyproject.toml config; fix warnings unless explicitly ignored
Respect naming: snake_case for functions/variables, PascalCase for classes, UPPER_CASE for constants
Treat pyright warnings as errors during development
Exception handling: use bare raise to re-raise; log with logger.error() when re-raising to avoid duplicate stack traces; use logger.exception() when catching without re-raising
Provide Google-style docstrings for every public module, class, function, and CLI command; first line concise and ending with a period; surround code entities with backticks
Validate and sanitize all user input, especially in web or CLI interfaces
Prefer httpx with SSL verification enabled by default and follow OWASP Top-10 recommendations
Use async/await for I/O-bound work; profile CPU-heavy paths with cProfile or mprof before optimizing; cache expensive computations with functools.lru_cache or external cache; leverage NumPy vectorized operations when beneficial

Files:

• tests/nat/mcp/test_mcp_client_base.py

tests/**/*.py

📄 CodeRabbit inference engine (.cursor/rules/general.mdc)

Unit tests reside under tests/ and should use markers defined in pyproject.toml (e.g., integration)

Files:

• tests/nat/mcp/test_mcp_client_base.py

---

⚙️ CodeRabbit configuration file

tests/**/*.py: - Ensure that tests are comprehensive, cover edge cases, and validate the functionality of the code. - Test functions should be named using the test_ prefix, using snake_case. - Any frequently repeated code should be extracted into pytest fixtures. - Pytest fixtures should define the name argument when applying the pytest.fixture decorator. The fixture
function being decorated should be named using the fixture_ prefix, using snake_case. Example:
@pytest.fixture(name="my_fixture")
def fixture_my_fixture():
pass

Files:

• tests/nat/mcp/test_mcp_client_base.py

{tests/**/*.py,examples/*/tests/**/*.py}

📄 CodeRabbit inference engine (.cursor/rules/general.mdc)

{tests/**/*.py,examples/*/tests/**/*.py}: Use pytest (with pytest-asyncio for async); name test files test_*.py; test functions start with test_; extract repeated code into fixtures; fixtures must set name in decorator and be named with fixture_ prefix
Mock external services with pytest_httpserver or unittest.mock; do not hit live endpoints
Mark expensive tests with @pytest.mark.slow or @pytest.mark.integration

Files:

• tests/nat/mcp/test_mcp_client_base.py

**/*

⚙️ CodeRabbit configuration file

**/*: # Code Review Instructions

• Ensure the code follows best practices and coding standards. - For Python code, follow
  PEP 20 and
  PEP 8 for style guidelines.
• Check for security vulnerabilities and potential issues. - Python methods should use type hints for all parameters and return values.
  Example:

  def my_function(param1: int, param2: str) -> bool:
      pass

• For Python exception handling, ensure proper stack trace preservation:
  • When re-raising exceptions: use bare raise statements to maintain the original stack trace,
    and use logger.error() (not logger.exception()) to avoid duplicate stack trace output.
  • When catching and logging exceptions without re-raising: always use logger.exception()
    to capture the full stack trace information.

Documentation Review Instructions - Verify that documentation and comments are clear and comprehensive. - Verify that the documentation doesn't contain any TODOs, FIXMEs or placeholder text like "lorem ipsum". - Verify that the documentation doesn't contain any offensive or outdated terms. - Verify that documentation and comments are free of spelling mistakes, ensure the documentation doesn't contain any

words listed in the ci/vale/styles/config/vocabularies/nat/reject.txt file, words that might appear to be
spelling mistakes but are listed in the ci/vale/styles/config/vocabularies/nat/accept.txt file are OK.

Misc. - All code (except .mdc files that contain Cursor rules) should be licensed under the Apache License 2.0,

and should contain an Apache License 2.0 header comment at the top of each file.

• Confirm that copyright years are up-to date whenever a file is changed.

Files:

• tests/nat/mcp/test_mcp_client_base.py

⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)

• GitHub Check: CI Pipeline / Check

[yczhang-nv]

/merge

[yczhang-nv]

/merge