Unit Test Audit

[jgieringer]

Description

This PR cleans, (hopefully) improves, restructures, and adds to the unit testing suite.
The biggest change to note is under tests/unit/llm_clients/test_base_llm.py where TestLLMBase and TestJudgeLLMBase are added as abstract testing classes to ensure their subclasses are properly implemented and tested across similar situations.

• I first tried just iterating over every subclass and testing accordingly, but that became a MASSIVE file with conditions that didn't always align as each subclass is just enough different 🥳

Example of creating a new llm client without any tests:

/Users/josh.gieringer/Projects/VERA-MH/tests/unit/llm_clients/test_coverage.py::TestLLMCoverage::test_all_llm_implementations_have_test_files failed: tests/unit/llm_clients/test_coverage.py:168: in test_all_llm_implementations_have_test_files
    assert not missing_tests, (
E   AssertionError: 
E     
E     Missing test files for LLM implementations:
E       - CoolLLM should have test_cool_llm.py
E     
E     All LLM implementations must have corresponding test files.
E   assert not [('CoolLLM', 'test_cool_llm.py')]

Issue

Resolves SAF-145

[Copilot]

Pull request overview

This PR refactors and expands the unit test suite with a focus on LLM client testing. The main improvement is introducing abstract base test classes (TestLLMBase and TestJudgeLLMBase) that define common test patterns for all LLM implementations, along with helper functions and shared fixtures to reduce code duplication.

Changes:

• Introduces base test classes and helper functions for consistent LLM testing across all providers
• Refactors all LLM client tests to inherit from base classes
• Adds coverage validation tests to ensure complete test coverage for new implementations
• Consolidates last_response_metadata initialization in LLMInterface base class
• Extracts parse_judge_models and get_parser() functions from judge.py for better testability
• Adds validation for max_personas parameter and new test cases

Reviewed changes

Copilot reviewed 32 out of 32 changed files in this pull request and generated 3 comments.

Show a summary per file

File	Description
tests/unit/llm_clients/test_base_llm.py	New abstract base test classes for LLM implementations
tests/unit/llm_clients/test_helpers.py	New helper functions for metadata assertions and mock verification
tests/unit/llm_clients/conftest.py	New shared fixtures for mock responses and conversation histories
tests/unit/llm_clients/test_coverage.py	New automated coverage validation tests
tests/unit/llm_clients/README.md	New comprehensive documentation for test architecture
tests/unit/llm_clients/test_*_llm.py	Refactored to inherit from base classes and use helpers
llm_clients/llm_interface.py	Moved last_response_metadata to base class
llm_clients/*_llm.py	Removed duplicate last_response_metadata declarations
llm_clients/azure_llm.py	Added role field to metadata
judge.py	Extracted get_parser() and uses parse_judge_models()
judge/utils.py	New parse_judge_models function
tests/unit/judge/test_judge_cli.py	Complete rewrite with comprehensive CLI tests
tests/unit/judge/test_*.py	Updated to use proper CLI arg parsing patterns
generate_conversations/utils.py	Added max_personas validation
tests/unit/conftest.py	New shared mock_system_message fixture

Comments suppressed due to low confidence (1)

tests/unit/llm_clients/test_azure_llm.py:490

• This method requires 3 positional arguments, whereas overridden TestJudgeLLMBase.test_generate_structured_response_success requires 2.

    async def test_generate_structured_response_success(
        self, mock_azure_config, mock_azure_model
    ):

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Pull request overview

Copilot reviewed 35 out of 35 changed files in this pull request and generated 7 comments.

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Pull request overview

Copilot reviewed 35 out of 35 changed files in this pull request and generated 7 comments.

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[emily-vanark]

My personal qualms about testing mocks aside, this increases our test coverage from 625 tests with 75.7% coverage to 718 tests with 79.4% converage, and they all pass, so... well done!