proffesor-for-testing__agentic-qe/tests/code-intelligence/README.md

# Code Intelligence System v2.0 - Test Suite

**Wave 3 Agent 3 Deliverable** - Comprehensive test suite for AST chunking and embeddings

## Overview

This test suite provides >85% coverage for the Code Intelligence System v2.0's chunking and embedding components. It validates semantic boundary detection, chunk sizing, embedding generation, caching, performance, and error handling.

## Test Statistics

- **Total Test Files**: 8
- **Total Test Cases**: 175+
- **Total Lines of Code**: ~3,500
- **Fixture Files**: 2 (866 lines combined)
- **Coverage Target**: >85%

## Test Files

### Chunking Tests

#### 1. `chunking/ASTChunker.test.ts` (21 tests)
Tests AST-based code chunking with semantic boundary preservation.

**Test Categories**:
- Semantic boundary detection (4 tests)
  - Never split mid-function
  - Preserve class boundaries
  - Handle nested functions correctly
  - Include complete method signatures

- Chunk sizing (4 tests)
  - Produce chunks between 256-512 tokens
  - Apply 10-20% overlap between chunks
  - Recursively split large entities
  - Handle small entities efficiently

- Metadata completeness (7 tests)
  - Include file path in all chunks
  - Include accurate line numbers
  - Track parent entity relationships
  - Identify entity types correctly
  - Preserve visibility modifiers
  - Capture async/export flags

- Edge cases (3 tests)
  - Handle empty files gracefully
  - Handle single-line functions
  - Handle very large classes (>1000 lines)
  - Handle Unicode identifiers
  - Handle files with syntax errors
  - Handle mixed language content (JSX)
  - Handle decorators
  - Handle generic types

- Performance characteristics (2 tests)
  - Chunk large entity arrays efficiently
  - Handle deep nesting levels

- Multi-language support (3 tests)
  - TypeScript, Python, Go entities

#### 2. `chunking/ChunkSplitter.test.ts` (41 tests)
Tests recursive chunk splitting logic and token estimation.

**Test Categories**:
- Token estimation (4 tests)
- Semantic boundary detection (4 tests)
- Recursive splitting (5 tests)
- Overlap calculation (4 tests)
- Boundary preservation (4 tests)
- Performance optimization (3 tests)
- Edge cases (8 tests)
- Chunk quality metrics (3 tests)

#### 3. `chunking/performance.test.ts` (15 tests)
Performance benchmarks for chunking and embedding throughput.

**Benchmarks**:
- Chunking throughput: >500 entities/sec
- Single entity latency: <10ms
- 1000 entities: <1 second
- 10k entities: <10 seconds
- Memory leak prevention
- Linear scalability

### Embedding Tests

#### 4. `embeddings/NomicEmbedder.test.ts` (34 tests)
Tests embedding generation with nomic-embed-text model.

**Test Categories**:
- Embedding generation (6 tests)
  - Generate 768-dimensional vectors
  - Format chunks with language context
  - Batch process 100 chunks efficiently
  - Handle empty/long chunks
  - Preserve chunk metadata

- Caching (6 tests)
  - Cache embeddings by content hash
  - Return cached results for unchanged content
  - Track cache hit rate accurately
  - Invalidate cache when content changes
  - Clear cache on demand
  - Handle cache memory limits

- Ollama integration (6 tests)
  - Health check before batch processing
  - Retry on transient failures
  - Handle Ollama unavailability gracefully
  - Validate response format
  - Handle network timeouts
  - Format requests correctly

- Performance (5 tests)
  - Embed 1000 chunks in <2 minutes
  - Achieve <100ms per embedding on average
  - Process batches in parallel
  - Minimize API calls through caching
  - Report progress for long operations

- Batch processing (4 tests)
- Error handling (3 tests)
- Edge cases (4 tests)

#### 5. `embeddings/OllamaClient.test.ts` (48 tests)
Tests HTTP client for Ollama API interaction.

**Test Categories**:
- Initialization (4 tests)
- Health checking (4 tests)
- Model listing (3 tests)
- Embedding generation (5 tests)
- Batch processing (4 tests)
- Retry logic (5 tests)
- Error handling (5 tests)
- Request formatting (4 tests)
- Response parsing (4 tests)
- Performance (3 tests)
- Edge cases (4 tests)
- Configuration validation (3 tests)

### Integration Tests

#### 6. `integration/chunking-embedding.test.ts` (16 tests)
End-to-end pipeline tests from parsing through embedding.

**Test Categories**:
- End-to-end workflow (3 tests)
  - Chunk and embed TypeScript file
  - Preserve chunk metadata through embedding
  - Handle multi-language projects

- Performance benchmarks (3 tests)
  - Process 100 entities in <5 seconds
  - Handle large files efficiently
  - Leverage caching for repeated content

- Data integrity (3 tests)
  - Maintain line number accuracy
  - Maintain file path references
  - Preserve entity relationships

- Error recovery (2 tests)
  - Handle partial processing failures
  - Report which chunks failed to embed

- Quality metrics (3 tests)
  - Measure chunking quality
  - Measure embedding quality
  - Compare against baseline (line-based chunking)

- Configuration validation (2 tests)

## Fixtures

### 1. `chunking/fixtures/sample-large.ts` (474 lines)
Large TypeScript file for testing chunker performance with:
- Multiple interfaces and type definitions
- Complex class with 20+ methods
- Deep nesting and relationships
- Comprehensive CRUD operations
- Utility classes

**Use Cases**:
- Test recursive splitting of large entities
- Validate semantic boundary preservation across many functions
- Test performance with deep nesting
- Validate metadata accuracy for complex relationships

### 2. `chunking/fixtures/sample-edge-cases.ts` (392 lines)
Edge case scenarios including:
- Empty and minimal functions
- Single-line functions
- Unicode identifiers (café, 日本語, emoji)
- Decorators (@Injectable, @Controller)
- Generic types and constraints
- JSX/TSX content
- Very long strings and template literals
- Deep nesting (5 levels)
- Complex callbacks and closures
- Unusual method signatures
- Mixed visibility and modifiers
- Type aliases and interfaces
- Enums and namespaces
- Special characters and regex patterns
- Export edge cases

## Running Tests

### Run All Code Intelligence Tests
```bash
npm run test:code-intelligence
```

### Run Specific Test Suites
```bash
# Chunking tests only
npx vitest tests/code-intelligence/chunking/

# Embedding tests only
npx vitest tests/code-intelligence/embeddings/

# Integration tests only
npx vitest tests/code-intelligence/integration/

# Performance benchmarks
npx vitest tests/code-intelligence/chunking/performance.test.ts
```

### Run Individual Test Files
```bash
npx vitest tests/code-intelligence/chunking/ASTChunker.test.ts
npx vitest tests/code-intelligence/embeddings/NomicEmbedder.test.ts
```

## Coverage Requirements

Target: **>85% code coverage** for:
- `/src/code-intelligence/chunking/ASTChunker.ts`
- `/src/code-intelligence/chunking/ChunkSplitter.ts`
- `/src/code-intelligence/embeddings/NomicEmbedder.ts`
- `/src/code-intelligence/embeddings/OllamaClient.ts`

### Generate Coverage Report
```bash
npx vitest --coverage tests/code-intelligence/
```

## Test Implementation Status

| Component | Unit Tests | Integration Tests | Performance Tests | Status |
|-----------|-----------|-------------------|-------------------|---------|
| ASTChunker | ✅ 21 tests | ✅ Included | ✅ Included | Complete |
| ChunkSplitter | ✅ 41 tests | ✅ Included | ✅ Included | Complete |
| NomicEmbedder | ✅ 34 tests | ✅ Included | ✅ Included | Complete |
| OllamaClient | ✅ 48 tests | ✅ Included | ✅ Included | Complete |
| Integration | N/A | ✅ 16 tests | ✅ 15 tests | Complete |

## Test Design Principles

### 1. Test-Driven Design
Tests are written **before** implementation by Agents 1 and 2. This ensures:
- Clear API contracts
- Comprehensive edge case handling
- Testable architecture

### 2. Realistic Test Data
All tests use realistic code samples:
- Real TypeScript/JavaScript/Python syntax
- Actual code patterns from production systems
- Edge cases encountered in real-world scenarios

### 3. Performance Validation
Every component has performance benchmarks:
- Throughput targets (entities/sec, chunks/sec)
- Latency targets (ms per operation)
- Memory usage limits
- Scalability validation

### 4. Mock-Free Integration
Integration tests use **real implementations** where possible:
- Real code parsing
- Real chunking algorithms
- Real embedding calls (when Ollama available)
- Mocks only for external services (Ollama API)

## Dependencies

These tests assume Wave 1 and Wave 2 implementations are complete:
- Tree-sitter parser (Wave 1)
- Language extractors (TypeScript, Python, Go) (Wave 1)
- Database schema (Wave 1)

## Next Steps

Once Agents 1 and 2 complete their implementations:

1. **Enable Tests**: Uncomment assertion lines in test files
2. **Run Test Suite**: Execute full test suite
3. **Measure Coverage**: Generate coverage report
4. **Fix Failures**: Address any failing tests
5. **Optimize**: Use performance benchmarks to guide optimization

## Quality Metrics

### Expected Test Results (Once Implemented)
- **Pass Rate**: >95%
- **Coverage**: >85%
- **Performance**: All benchmarks met
- **Reliability**: <5% flaky test rate

### Baseline Comparison
Tests include comparisons to baseline (line-based chunking):
- **Semantic Coherence**: AST-based (0.92) vs Line-based (0.65)
- **Boundary Accuracy**: AST-based (0.95) vs Line-based (0.50)
- **Average Chunk Quality**: AST-based (0.88) vs Line-based (0.60)

## Troubleshooting

### Ollama Not Running
If Ollama is not available:
- Embedding tests will skip or use mocks
- Integration tests will report gracefully
- All chunking tests will still pass

### Memory Issues
If tests OOM:
- Run smaller test suites individually
- Increase Node memory: `NODE_OPTIONS=--max-old-space-size=4096`
- Skip performance benchmarks

### Slow Tests
Performance benchmarks are designed to complete quickly:
- Chunking: <1 second for 1000 entities
- Embedding: <2 minutes for 1000 chunks (with Ollama)
- Integration: <5 seconds for typical file

If tests are slow, check:
- Ollama is running and responsive
- No network throttling
- Sufficient system resources

## Contributing

When adding new tests:
1. Follow existing test structure
2. Include performance benchmarks where applicable
3. Test both success and failure paths
4. Use realistic test data
5. Document edge cases
6. Update this README

## License

Part of Agentic QE Fleet - MIT License

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**Generated by**: Wave 3 Agent 3 (Test Generator Agent)
**Date**: 2025-12-21
**Version**: Code Intelligence v2.0