Fix the aiq_compatibility_span_prefix fixture

[dagardner-nv]

Description

• The values of the SpanAttributes enum are defined on import, the fixture originally attempted to reload the span module. However this created a problem since other modules had already imported the span module, which would cause pydantic validation to fail as the original SpanContext class no longer strictly matches the new SpanContext.

• Unrelated fix: Add the skip_e2e_test tag to the uv pip uninstall dask cell to prevent the notebook from altering the environment mid-test.

• Silence a warning being emitted by strands that we have no control over [BUG] DeprecationWarning being emitted when importing strands strands-agents/sdk-python#1236

Closes #1197

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Summary by CodeRabbit

• Tests
  • Improved test fixture robustness by making reversible in-place adjustments instead of reloading modules or changing environment state.
• Chores
  • Added a pytest warning filter to suppress a specific deprecation warning.
• Docs/Examples
  • Marked a notebook step with a skip tag to exclude it from end-to-end test runs.

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Walkthrough

Added a notebook cell metadata tag and refactored a test fixture to perform reversible in-place adjustments to span prefix enum values instead of reloading modules or changing environment variables; also added a pytest warning filter in configuration.

Changes

Cohort / File(s)	Summary
Notebook metadata examples/notebooks/getting_started_with_nat.ipynb	Added skip_e2e_test tag to the code cell metadata for the "uv pip uninstall dask" step.
Test fixture refactor examples/observability/simple_calculator_observability/tests/test_simple_calc_observability.py	Reworked aiq_compatibility_span_prefix fixture to avoid importlib.reload and env var manipulation. It now reads span._SPAN_PREFIX, updates SpanAttributes enum values in-place (replacing matching prefixes), yields, then restores span._SPAN_PREFIX and original enum values.
Pytest warnings config pyproject.toml	Added a filterwarnings entry to ignore a specific DeprecationWarning from strands, with an explanatory comment.

Sequence Diagram(s)

sequenceDiagram
    participant Test as Test Runner
    participant Fixture as aiq_compatibility_span_prefix
    participant Span as span module
    participant Enum as SpanAttributes

    Note over Test,Fixture `#EFEFEF`: Test setup
    Test->>Fixture: enter fixture
    Fixture->>Span: read _SPAN_PREFIX (origPrefix)
    Fixture->>Enum: find values starting with origPrefix
    Fixture->>Enum: replace matching prefix with "aiq." (record originals)

    Note over Test,Fixture `#DFF7DF`: Test execution
    Fixture-->>Test: yield (tests run using modified enums)

    Note over Test,Fixture `#FDE8E8`: Teardown
    Test->>Fixture: fixture cleanup
    Fixture->>Span: restore _SPAN_PREFIX to origPrefix
    Fixture->>Enum: restore recorded original enum values
    Fixture-->>Test: teardown complete

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Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

• Focus areas during review:
  • Verify the fixture restores SpanAttributes values and span._SPAN_PREFIX reliably, including on exceptions.
  • Confirm no remaining use of importlib.reload or env var edits and that recorded originals cover all modified entries.
  • Ensure the new pytest warning filter targets the intended warning (message and module) without silencing unrelated deprecations.

Pre-merge checks and finishing touches

❌ Failed checks (1 inconclusive)

Check name	Status	Explanation	Resolution
Out of Scope Changes check	❓ Inconclusive	The PR includes a secondary unrelated change (adding skip_e2e_test tag to notebook cell), which the description acknowledges as unrelated and is appropriately minor; however, its necessity and scope relative to the main fix is not clearly justified.	Consider clarifying whether the notebook tag addition is necessary for this release or should be a separate PR, to maintain clear separation of concerns.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title is concise (47 characters), descriptive, uses imperative mood, and clearly describes the main change being a fix to the aiq_compatibility_span_prefix fixture.
Linked Issues check	✅ Passed	The PR successfully fixes the aiq_compatibility_span_prefix fixture by eliminating module reloading and using reversible in-place adjustments to SpanAttributes enum values, directly addressing the root cause of pydantic validation errors in issue #1197.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

✨ Finishing touches

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

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🔇 Additional comments (1)

pyproject.toml (1)

305-308: Verify the pytest filterwarnings pattern syntax and matching behavior.

The filterwarnings pattern appears to use an incorrect format. Per pytest documentation, the pattern format is action:message:category:module:lineno. The current pattern:

"ignore:^These events have been moved to production.*strands:DeprecationWarning"

is parsed as: action=ignore, message=^These events have been moved to production.*strands, category=DeprecationWarning. This includes "strands" in the message regex, which means the warning will only be suppressed if the literal warning text contains "strands"—which is unlikely for a warning message.

The intended pattern should likely be:

- "ignore:^These events have been moved to production.*strands:DeprecationWarning",
+ "ignore:^These events have been moved to production.*:DeprecationWarning:strands",

This would correctly match the warning message from the strands module.

Please verify the actual warning message format emitted by strands-agents/sdk-python and confirm the filterwarnings pattern will match it correctly. You may also want to test the filter by running pytest with -W flags to ensure warnings are properly suppressed.

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Actionable comments posted: 0

🧹 Nitpick comments (1)

examples/observability/simple_calculator_observability/tests/test_simple_calc_observability.py (1)

79-100: Consider adding type hint for the fixture.

The fixture implementation correctly avoids the module reload issue by mutating enum values in-place. The approach of directly modifying _value_ on enum members is unconventional but necessary given that reloading causes pydantic validation failures (as described in the PR objectives). The restoration logic properly reverts all changes.

Consider adding a return type hint for better type safety:

 @pytest.fixture(name="aiq_compatibility_span_prefix")
-def aiq_compatibility_span_prefix_fixture():
+def aiq_compatibility_span_prefix_fixture() -> Generator[None, None, None]:
     """
     The values of the SpanAttributes are defined on import based upon the NAT_SPAN_PREFIX environment variable.
     Setting the environment variable after the fact has no impact.
     """

As per coding guidelines, Python functions should use type hints for parameters and return values.

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• examples/notebooks/getting_started_with_nat.ipynb (1 hunks)
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• examples/observability/simple_calculator_observability/tests/test_simple_calc_observability.py (1 hunks)

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• examples/notebooks/mcp_setup_and_integration.ipynb

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**/*

⚙️ 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 (except for return values of None,
  in that situation no return type hint is needed).
  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.

Referenced Documentation Contents

ci/vale/styles/config/vocabularies/nat/reject.txt:
Defines regex patterns ...

Files:

• examples/notebooks/getting_started_with_nat.ipynb
• examples/observability/simple_calculator_observability/tests/test_simple_calc_observability.py

examples/**/*

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Files:

• examples/notebooks/getting_started_with_nat.ipynb
• examples/observability/simple_calculator_observability/tests/test_simple_calc_observability.py

🧬 Code graph analysis (1)

examples/observability/simple_calculator_observability/tests/test_simple_calc_observability.py (1)

src/nat/data_models/span.py (1)

• SpanAttributes (92-106)

🔇 Additional comments (2)

examples/notebooks/getting_started_with_nat.ipynb (1)

437-437: LGTM! Documentation cleanup looks good.

The removal of dask uninstallation instructions simplifies the notebook setup without impacting functionality.

examples/observability/simple_calculator_observability/tests/test_simple_calc_observability.py (1)

81-84: Excellent addition of explanatory docstring.

The docstring clearly explains why this fixture is necessary - the SpanAttributes values are defined at import time based on the environment variable.