# Generators Module

**Purpose:** Code generation and simulation tools

## TODO ITEMS: generators/README.md

### COMMUNITY TIER - Core Documentation
1. Add comprehensive module overview with use cases
2. Add architecture diagram showing component relationships
3. Add quick start guide for test generation
4. Add quick start guide for refactor simulation
5. Add installation and setup instructions
6. Add test generator tutorial with examples
7. Add refactor simulator tutorial with examples
8. Add supported languages and versions table
9. Add supported test frameworks (pytest, unittest, etc.)
10. Add JSON format specification for test cases
11. Add JSON format specification for refactor results
12. Add API reference for TestGenerator class
13. Add API reference for RefactorSimulator class
14. Add API reference for all data classes
15. Add error handling and exceptions guide
16. Add troubleshooting section
17. Add frequently asked questions
18. Add performance characteristics table
19. Add limitations and known issues
20. Add migration guide from other systems
21. Add examples for basic test generation
22. Add examples for basic refactor simulation
23. Add best practices guide
24. Add security checklist
25. Add compatibility matrix

### PRO TIER - Advanced Documentation
26. Add advanced test generation techniques
27. Add property-based testing guide
28. Add mutation testing integration guide
29. Add performance test generation
30. Add security test generation
31. Add custom assertion generation
32. Add fixture and mock generation
33. Add test caching optimization
34. Add test execution parallelization guide
35. Add performance tuning guide
36. Add test prioritization strategies
37. Add flaky test debugging
38. Add cross-module testing patterns
39. Add API contract testing
40. Add integration testing patterns
41. Add database test generation
42. Add concurrency test generation
43. Add test coverage improvement strategies
44. Add test redundancy elimination
45. Add refactor impact analysis
46. Add behavioral equivalence verification
47. Add performance impact prediction
48. Add API compatibility verification
49. Add backward compatibility checking
50. Add advanced troubleshooting

### ENTERPRISE TIER - Enterprise & Compliance Documentation
51. Add distributed test generation architecture
52. Add federated test generation patterns
53. Add multi-region coordination guide
54. Add test caching at scale
55. Add test generation scaling strategies
56. Add test cost optimization
57. Add test quota management
58. Add SLA configuration and monitoring
59. Add audit logging configuration
60. Add compliance setup (SOC2/HIPAA/GDPR)
61. Add encryption configuration
62. Add role-based access control setup
63. Add multi-tenancy isolation guide
64. Add disaster recovery procedures
65. Add failover mechanisms
66. Add data retention policies
67. Add billing integration
68. Add metrics and monitoring setup
69. Add alerting and notifications
70. Add trend analysis and reporting
71. Add ML-based test prioritization
72. Add anomaly detection setup
73. Add circuit breaker configuration
74. Add rate limiting configuration
75. Add executive dashboard setup

## Overview

This module provides tools for:
- Test case generation from symbolic execution
- Refactoring simulation and safety verification
- Code transformation and template generation

## Key Components

### test_generator.py (34,549 LOC)
Generates unit tests from symbolic execution paths:
- `TestGenerationResult` - Test case data structure
- `GeneratedTestCase` - Individual test with inputs/assertions
- Pytest and unittest format generation
- Coverage-driven test selection
- Symbolic path exploration for edge cases

**Key Features:**
- Automatically discovers execution paths
- Generates concrete input values that trigger each path
- Creates assertions based on expected outputs
- Supports pytest and unittest frameworks

**Example:**
```python
from code_scalpel.generators import TestGenerator

generator = TestGenerator()
result = generator.generate_tests(
    code="def calculate(x): return x * 2 if x > 0 else 0",
    function_name="calculate",
    framework="pytest"
)
print(result.pytest_code)
```

### refactor_simulator.py (18,773 LOC)
Simulates code refactoring to verify safety before applying:
- `RefactorSimulationResult` - Safety verdict and analysis
- Structural change detection (function renames, signature changes)
- Security issue detection (new vulnerabilities introduced)
- Behavioral equivalence verification
- Diff-based and direct code comparison

**Key Features:**
- Detects breaking changes before applying refactors
- Identifies new security vulnerabilities
- Verifies behavioral preservation
- Supports both patch and direct code comparison

**Example:**
```python
from code_scalpel.generators import RefactorSimulator

simulator = RefactorSimulator()
result = simulator.simulate_refactor(
    original_code="def add(a, b): return a + b",
    new_code="def add(a: int, b: int) -> int: return a + b"
)
assert result.is_safe  # Type hints are safe
```

## Integration

Used by:
- `mcp/server.py` - MCP tools: `generate_unit_tests`, `simulate_refactor`
- `symbolic_execution_tools/engine.py` - Symbolic execution backend
- `autonomy/` - Automated refactoring workflows

## Architecture

Both modules rely on:
- **Symbolic Execution:** `symbolic_execution_tools/engine.py` for path exploration
- **Security Analysis:** `symbolic_execution_tools/security_analyzer.py` for vulnerability detection
- **AST Analysis:** `ast_tools/analyzer.py` for structural analysis
- **PDG Analysis:** `pdg_tools/analyzer.py` for control/data flow

## v3.0.5 Status

- Test generation: Stable, 100% coverage
- Refactor simulation: Stable, 100% coverage
- Supports Python, JavaScript, TypeScript, Java
