#!/bin/bash
# Demo: Quantum Semantic Compression - "AST meets compression!" - Omni

echo "🚀 Smart Tree Quantum Semantic Demo"
echo "====================================="
echo
echo "Omni's nuclear-powered compression that understands code!"
echo

# Create a sample Rust file
cat > /tmp/demo.rs << 'EOF'
pub struct Scanner {
    root: PathBuf,
    config: ScannerConfig,
}

impl Scanner {
    pub fn new(path: &Path) -> Result<Self> {
        Ok(Self {
            root: path.canonicalize()?,
            config: Default::default(),
        })
    }
    
    fn internal_scan(&self) -> Vec<FileNode> {
        // Complex implementation details...
        vec![]
    }
    
    pub fn scan(&self) -> Result<(Vec<FileNode>, TreeStats)> {
        let nodes = self.internal_scan();
        let stats = self.calculate_stats(&nodes);
        Ok((nodes, stats))
    }
}

fn main() {
    println!("Smart Tree!");
}

#[test]
fn test_scanner() {
    // Test implementation
}
EOF

echo "📄 Original file size:"
wc -c /tmp/demo.rs

echo
echo "🧬 Semantic extraction would identify:"
echo "  - pub struct Scanner (importance: 0.9)"
echo "  - pub fn new() (importance: 0.9)"
echo "  - pub fn scan() (importance: 0.9)"
echo "  - fn main() (importance: 1.0)"
echo "  - fn internal_scan() (importance: 0.6)"
echo "  - fn test_scanner() (importance: 0.3)"
echo

echo "🎯 Quantum Semantic output (conceptual):"
echo "QUANTUM_SEMANTIC_V1:lang=rust"
echo "Function:main [1.00]"
echo "Function:new [0.90]"
echo "Function:scan [0.90]"
echo "Struct:Scanner [0.90]"
echo

echo "📊 Compression ratio: ~90% reduction!"
echo "  - Preserves semantic meaning"
echo "  - Prioritizes important code"
echo "  - Perfect for AI understanding"
echo

echo "💡 Use cases:"
echo "  - Code summaries for LLMs"
echo "  - API documentation extraction"
echo "  - Codebase overview generation"
echo "  - Semantic search indexing"

rm -f /tmp/demo.rs