yusyus
aa6bc363d9
feat(C2.6): Add dependency graph analyzer with NetworkX
- Add NetworkX dependency to pyproject.toml
- Create dependency_analyzer.py with comprehensive functionality
- Support Python, JavaScript/TypeScript, and C++ import extraction
- Build directed graphs using NetworkX DiGraph
- Detect circular dependencies with NetworkX algorithms
- Export graphs in multiple formats (JSON, Mermaid, DOT)
- Add 24 comprehensive tests with 100% pass rate
Features:
- Python: AST-based import extraction (import, from, relative)
- JavaScript/TypeScript: ES6 and CommonJS parsing (import, require)
- C++: #include directive extraction (system and local headers)
- Graph statistics (total files, dependencies, cycles, components)
- Circular dependency detection and reporting
- Multiple export formats for visualization
Architecture:
- DependencyAnalyzer class with NetworkX integration
- DependencyInfo dataclass for tracking import relationships
- FileNode dataclass for graph nodes
- Language-specific extraction methods
Related research:
- NetworkX: Standard Python graph library for analysis
- pydeps: Python-specific analyzer (inspiration)
- madge: JavaScript dependency analyzer (reference)
- dependency-cruiser: Advanced JS/TS analyzer (reference)
Test coverage:
- 5 Python import tests
- 4 JavaScript/TypeScript import tests
- 3 C++ include tests
- 3 graph building tests
- 3 circular dependency detection tests
- 3 export format tests
- 3 edge case tests
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