Smart Tree - ST

# 🧬 Quantum Semantic Compression > "When a nuclear reactor meets an AST parser!" - Omni ## Overview Quantum Semantic compression is Smart Tree's most advanced feature, combining: - **MEM|8 Quantum compression** (8x reduction) - **Tree-sitter AST parsing** (semantic understanding) - **Importance scoring** (prioritizes key code elements) - **Language awareness** (Rust, Python, JavaScript, etc.) ## How It Works ``` Source Code → AST Parser → Importance Scoring → Quantum Encoding ↓ ↓ ↓ ↓ 1000 LOC Functions main() = 1.0 50 tokens Structs pub fn = 0.9 (95% reduction!) Traits test_* = 0.3 ``` ## Usage ```bash # Analyze a codebase with semantic compression st --mode quantum-semantic src/ # Output format QUANTUM_SEMANTIC_V1:lang=rust Function:main [1.00] Function:new [0.90] Struct:Scanner [0.90] Trait:Formatter [0.85] ``` ## Importance Scoring The system scores code elements based on: ### Rust - `main()` function: 1.0 (highest) - `pub` functions: 0.9 - `pub` structs/traits: 0.9 - Private functions: 0.6 - Test functions: 0.3 - Internal helpers: 0.4 ### Python - `__init__`: 0.9 - `main()`: 1.0 - Public methods: 0.6 - Private methods (`_*`): 0.4 - Classes: 0.8 ## Benefits 1. **95% Compression**: From 100KB source to 5KB semantic summary 2. **Preserves Meaning**: Keeps the most important code structure 3. **AI-Optimized**: Perfect for LLM context windows 4. **Language-Aware**: Understands language-specific patterns ## Architecture ```rust trait LanguageQuantumParser { fn extract_quantum_nodes(&self, source: &str) -> Vec<QuantumNode>; fn score_importance(&self, node: &QuantumNode) -> f32; } struct QuantumNode { kind: NodeKind, // Function, Struct, etc. name: String, // Identifier content: String, // Actual code importance: f32, // 0.0 to 1.0 } ``` ## Future Enhancements ### With Full Tree-Sitter Integration ```rust // Parse with tree-sitter let tree = parser.parse(source_code, None)?; let cursor = tree.root_node().walk(); // Walk AST and extract semantic nodes visit_node(cursor, |node| { match node.kind() { "function_item" => extract_function(node), "impl_item" => extract_impl_block(node), "struct_item" => extract_struct(node), _ => {} } }); ``` ### Advanced Features (Planned) - **Coupling Analysis**: Score based on dependencies - **Complexity Scoring**: Prioritize complex functions - **Documentation Extraction**: Include key comments - **Cross-File Analysis**: Understand module relationships - **Change Detection**: Higher scores for recently modified code ## Example: Real Compression ### Before (Scanner implementation) ```rust pub struct Scanner { root: PathBuf, config: ScannerConfig, // ... 50 more fields } impl Scanner { pub fn new(path: &Path) -> Result<Self> { // ... 100 lines of initialization } fn calculate_stats(&self, nodes: &[FileNode]) -> TreeStats { // ... 200 lines of statistics } // ... 1000 more lines } ``` ### After (Quantum Semantic) ``` QUANTUM_SEMANTIC_V1:rust Struct:Scanner [0.90] Function:new [0.90] Function:scan [0.90] Function:scan_stream [0.85] Trait:StreamingFormatter [0.85] ``` ## Integration with AI This format is perfect for: - **Code understanding**: LLMs get the structure without the noise - **Refactoring suggestions**: AI sees the important parts - **Documentation generation**: Extract key APIs automatically - **Code review**: Focus on what matters ## The Omni Vision > "Why send a whole library when you can send the card catalog?" - Omni Quantum Semantic compression represents the future of code representation: - Not just smaller, but smarter - Not just compressed, but comprehended - Not just data, but knowledge This is what happens when you give a nuclear reactor to a code parser! 💥🚀