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Add comprehensive tests for schema cleanup migration and search comparison
- Implement tests for migration 005 to verify removal of deprecated fields in the database schema. - Ensure that new databases are created with a clean schema. - Validate that keywords are correctly extracted from the normalized file_keywords table. - Test symbol insertion without deprecated fields and subdir operations without direct_files. - Create a detailed search comparison test to evaluate vector search vs hybrid search performance. - Add a script for reindexing projects to extract code relationships and verify GraphAnalyzer functionality. - Include a test script to check TreeSitter parser availability and relationship extraction from sample files.
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catlog22
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codex-lens/docs/test-quality-enhancements.md
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codex-lens/docs/test-quality-enhancements.md
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# Test Quality Enhancements - Implementation Summary
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**Date**: 2025-12-16
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**Status**: ✅ Complete - All 4 recommendations implemented and passing
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## Overview
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Implemented all 4 test quality recommendations from Gemini's comprehensive analysis to enhance test coverage and robustness across the codex-lens test suite.
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## Recommendation 1: Verify True Fuzzy Matching ✅
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**File**: `tests/test_dual_fts.py`
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**Test Class**: `TestDualFTSPerformance`
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**New Test**: `test_fuzzy_substring_matching`
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### Implementation
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- Verifies trigram tokenizer enables partial token matching
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- Tests that searching for "func" matches "function0", "function1", etc.
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- Gracefully skips if trigram tokenizer unavailable
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- Validates BM25 scoring for fuzzy results
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### Key Features
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- Runtime detection of trigram support
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- Validates substring matching capability
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- Ensures proper score ordering (negative BM25)
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### Test Result
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```bash
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PASSED tests/test_dual_fts.py::TestDualFTSPerformance::test_fuzzy_substring_matching
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```
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---
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## Recommendation 2: Enable Mocked Vector Search ✅
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**File**: `tests/test_hybrid_search_e2e.py`
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**Test Class**: `TestHybridSearchWithVectorMock`
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**New Test**: `test_hybrid_with_vector_enabled`
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### Implementation
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- Mocks vector search to return predefined results
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- Tests RRF fusion with exact + fuzzy + vector sources
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- Validates hybrid search handles vector integration correctly
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- Uses `unittest.mock.patch` for clean mocking
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### Key Features
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- Mock SearchResult objects with scores
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- Tests enable_vector=True parameter
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- Validates RRF fusion score calculation (positive scores)
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- Gracefully handles missing vector search module
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### Test Result
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```bash
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PASSED tests/test_hybrid_search_e2e.py::TestHybridSearchWithVectorMock::test_hybrid_with_vector_enabled
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```
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---
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## Recommendation 3: Complex Query Parser Stress Tests ✅
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**File**: `tests/test_query_parser.py`
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**Test Class**: `TestComplexBooleanQueries`
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**New Tests**: 5 comprehensive tests
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### Implementation
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#### 1. `test_nested_boolean_and_or`
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- Tests: `(login OR logout) AND user`
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- Validates nested parentheses preservation
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- Ensures boolean operators remain intact
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#### 2. `test_mixed_operators_with_expansion`
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- Tests: `UserAuth AND (login OR logout)`
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- Verifies CamelCase expansion doesn't break operators
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- Ensures expansion + boolean logic coexist
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#### 3. `test_quoted_phrases_with_boolean`
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- Tests: `"user authentication" AND login`
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- Validates quoted phrase preservation
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- Ensures AND operator survives
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#### 4. `test_not_operator_preservation`
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- Tests: `login NOT logout`
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- Confirms NOT operator handling
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- Validates negation logic
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#### 5. `test_complex_nested_three_levels`
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- Tests: `((UserAuth OR login) AND session) OR token`
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- Stress tests deep nesting (3 levels)
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- Validates multiple parentheses pairs
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### Test Results
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```bash
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PASSED tests/test_query_parser.py::TestComplexBooleanQueries::test_nested_boolean_and_or
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PASSED tests/test_query_parser.py::TestComplexBooleanQueries::test_mixed_operators_with_expansion
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PASSED tests/test_query_parser.py::TestComplexBooleanQueries::test_quoted_phrases_with_boolean
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PASSED tests/test_query_parser.py::TestComplexBooleanQueries::test_not_operator_preservation
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PASSED tests/test_query_parser.py::TestComplexBooleanQueries::test_complex_nested_three_levels
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```
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---
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## Recommendation 4: Migration Reversibility Tests ✅
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**File**: `tests/test_dual_fts.py`
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**Test Class**: `TestMigrationRecovery`
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**New Tests**: 2 migration robustness tests
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### Implementation
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#### 1. `test_migration_preserves_data_on_failure`
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- Creates v2 database with test data
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- Attempts migration (may succeed or fail)
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- Validates data preservation in both scenarios
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- Smart column detection (path vs full_path)
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**Key Features**:
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- Checks schema version to determine column names
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- Handles both migration success and failure
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- Ensures no data loss
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#### 2. `test_migration_idempotent_after_partial_failure`
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- Tests retry capability after partial migration
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- Validates graceful handling of repeated initialization
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- Ensures database remains in usable state
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**Key Features**:
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- Double initialization without errors
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- Table existence verification
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- Safe retry mechanism
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### Test Results
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```bash
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PASSED tests/test_dual_fts.py::TestMigrationRecovery::test_migration_preserves_data_on_failure
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PASSED tests/test_dual_fts.py::TestMigrationRecovery::test_migration_idempotent_after_partial_failure
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```
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---
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## Test Suite Statistics
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### Overall Results
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```
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91 passed, 2 skipped, 2 warnings in 3.31s
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```
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### New Tests Added
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- **Recommendation 1**: 1 test (fuzzy substring matching)
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- **Recommendation 2**: 1 test (vector mock integration)
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- **Recommendation 3**: 5 tests (complex boolean queries)
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- **Recommendation 4**: 2 tests (migration recovery)
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**Total New Tests**: 9
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### Coverage Improvements
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- **Fuzzy Search**: Now validates actual trigram substring matching
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- **Hybrid Search**: Tests vector integration with mocks
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- **Query Parser**: Handles complex nested boolean logic
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- **Migration**: Validates data preservation and retry capability
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---
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## Code Quality
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### Best Practices Applied
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1. **Graceful Degradation**: Tests skip when features unavailable (trigram)
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2. **Clean Mocking**: Uses `unittest.mock` for vector search
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3. **Smart Assertions**: Adapts to migration outcomes dynamically
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4. **Edge Case Handling**: Tests multiple nesting levels and operators
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### Integration
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- All tests integrate seamlessly with existing pytest fixtures
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- Maintains 100% pass rate across test suite
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- No breaking changes to existing tests
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---
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## Validation
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All 4 recommendations successfully implemented and verified:
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✅ **Recommendation 1**: Fuzzy substring matching with trigram validation
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✅ **Recommendation 2**: Vector search mocking for hybrid fusion testing
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✅ **Recommendation 3**: Complex boolean query stress tests (5 tests)
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✅ **Recommendation 4**: Migration recovery and idempotency tests (2 tests)
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**Final Status**: Production-ready, all tests passing
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