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Implement multi-source location extraction for enhanced node coloring

🎯 Problem Solved

  • 68% of nodes appeared gray due to insufficient location information for colorization
  • LSP semantic analysis only covered ~30 nodes out of 94 total nodes in dataflow graphs
  • Tree-sitter found all operators but lacked semantic type information for location assignment

🚀 Solution: Hybrid Tree-sitter + Multi-Source LSP Architecture

Core Architecture Changes

  • Replaced old LSP-first approach with hybrid tree-sitter + LSP enhancement strategy
  • Tree-sitter provides reliable structure: All operator nodes and dataflow edges
  • Multi-source LSP enhancement: Semantic tokens + hover analysis + type definitions
  • Default location assignment: Ensures 100% node coverage with reasonable fallbacks

Multi-Source Location Extraction

  1. Primary LSP Analysis (locationAnalyzer.analyzeDocument())

    • Semantic token analysis for high-quality type information
    • ~30 locations with precise type data

  2. Hover-Based LSP Extraction ✨ NEW

    • vscode.executeHoverProvider queries at operator positions
    • Parses concrete instantiated types from hover responses
    • Handles patterns: Stream<T, Process<Leader>, Bounded> → Process<Leader>
    • Expected: Additional 20-40 locations from hover data

  3. Default Location Assignment ✨ NEW

    • Operator-based heuristics for remaining nodes
    • Networking ops → Cluster<Leader>, Sources → Process<Leader>, etc.
    • Guarantees: All nodes get location assignment for proper coloring

Enhanced Configuration System

  • Moved from hardcoded lists to VS Code settings (hydroIde.operators.*)
  • Hot-swappable configuration without extension restart
  • Comprehensive operator categories: networking, core dataflow, sinks, collection types
  • Utility script (updateOperators.js) to scan Hydro codebase and update settings

Improved Tree-sitter Integration

  • Robust variable binding parsing including destructuring patterns
  • Standalone chain detection for method chains not assigned to variables
  • Inter-variable edge creation for complex dataflow patterns
  • Network edge analysis with semantic tagging for distributed system visualization

Dual Hierarchy System

  • Location Hierarchy: Groups nodes by Hydro location types (Process, Cluster, Tick)
  • Code Hierarchy: Groups by file → function → variable structure
  • Nested Tick support: Handles Tick<Tick<Process<Leader>>> patterns
  • Smart container collapsing: Reduces visual clutter in hierarchy

📊 Expected Impact

  • Before: 30 locations (32% of nodes colored)
  • After: 50-70 locations (53-74% of nodes colored)
  • Guaranteed: 100% of nodes get location assignment with defaults
  • Better network visualization: Proper tagging of distributed communication edges
  • Improved debugging: Dual hierarchy for both location and code structure views

🔧 Technical Improvements

Hover Text Parsing

// Extracts location patterns from LSP hover responses
const locationPatterns = [
  /Stream<[^,]+,\s*([^,>]+)(?:,\s*[^>]+)?>/,  // Stream types
  /Singleton<[^,]+,\s*([^>]+)>/,              // Singleton types  
  /(Process<[^>]+>|Cluster<[^>]+>)/,          // Direct location types
];

Smart Deduplication

  • Position-based keys prevent duplicate location entries
  • Prioritizes primary LSP analysis over hover results
  • Combines multiple sources without conflicts

Robust Type Parameter Parsing

  • Handles complex generic types with nested angle brackets
  • Extracts boundedness, ordering, and keyedness information
  • Supports associated types and where clause constraints

🏗️ Files Modified

  • src/analysis/lspGraphExtractor.ts: Core hybrid architecture implementation
  • src/analysis/locationAnalyzer.ts: Multi-strategy coordination layer
  • src/analysis/lspAnalyzer.ts: Enhanced with hover analysis and type definition queries
  • src/analysis/treeSitterParser.ts: Improved variable binding and chain parsing
  • package.json: Added comprehensive operator configuration settings
  • scripts/updateOperators.js: Utility for scanning Hydro codebase

🎨 Visual Enhancements

  • Significantly fewer gray nodes in dataflow visualizations
  • Better location grouping with proper hierarchy containers
  • Network edge highlighting for distributed system boundaries
  • Clearer Paxos visualization with proper consensus phase coloring

This implementation provides a robust foundation for accurate Hydro dataflow visualization with comprehensive location information coverage and enhanced debugging capabilities.