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CodeGraph VSCode Extension - Implementation Progress

Current Status: ~90-95% Complete

Last Updated: 2024-12-15


Fully Implemented & Working

LSP Server Core (Rust)

  • initialize() - Declares all capabilities
  • goto_definition() - Graph-based definition lookup
  • references() - Incoming edge traversal
  • hover() - Rich metadata display
  • document_symbol() - File-level symbol listing
  • call_hierarchy_provider - prepare, incoming_calls, outgoing_calls
  • execute_command() - 8 custom commands routed
  • did_open/did_change/did_save - File lifecycle management
  • File indexing - Recursive directory scanning

Custom Request Handlers

  • handle_get_dependency_graph() - BFS traversal with edge filtering
  • handle_get_call_graph() - Function call relationship analysis
  • handle_analyze_impact() - Direct + indirect impact detection
  • handle_get_parser_metrics() - Per-language parsing statistics
  • AI Context Provider - Intent-based context selection, token budgeting

Language Model Tools (9/9)

  • codegraph_get_dependency_graph
  • codegraph_get_call_graph
  • codegraph_analyze_impact
  • codegraph_get_ai_context
  • codegraph_find_related_tests
  • codegraph_get_symbol_info
  • codegraph_analyze_complexity
  • codegraph_find_unused_code
  • codegraph_analyze_coupling

Chat Participant

  • @codegraph chat participant for any AI chatbot
  • Commands: dependencies, callgraph, impact, tests, context
  • Automatic intent detection from prompts
  • Follow-up suggestions after responses

Parser Integration

  • Python parser
  • Rust parser
  • TypeScript parser
  • JavaScript parser
  • Go parser
  • C parser

Supporting Modules

  • parser_registry.rs - Language parser management
  • cache.rs - Query result caching (LRU)
  • index.rs - Symbol indexing and fast lookup
  • error.rs - Error type definitions

TypeScript Extension

  • LSP server initialization and lifecycle
  • Language Model Tools registration
  • Tool manager with formatting functions
  • Tree view provider for workspace symbols
  • Command registration

Test Coverage

  • 108 Rust tests
  • 132 TypeScript tests

Partially Implemented

Graph Visualization (✅ 100%)

  • GraphVisualizationPanel class structure
  • Webview creation and messaging
  • D3.js-style graph rendering (custom force simulation)
  • Interactive node expansion (double-click to expand)
  • Graph layout algorithms (force-directed)
  • Zoom and pan controls
  • Node dragging
  • Click to navigate to source
  • Legend display
  • Export functionality (SVG, JSON)

File Watching (✅ 100%)

  • Watcher module structure
  • BatchUpdateResult types
  • GraphUpdater for file changes
  • File system event subscription
  • Incremental index updates
  • Debounced change handling (300ms default)

Not Implemented

High Priority

  • codegraph.openAIChat command - ✅ Implemented as @codegraph chat participant
  • Persistence layer - Graph data storage (RocksDB/SQLite)
  • Incremental indexing - Avoid full workspace re-index

Medium Priority

  • Graph export (SVG, JSON) - ✅ Implemented
  • Advanced graph filtering UI
  • Performance profiling dashboard
  • Multi-root workspace support improvements

Low Priority

  • Additional language support (Java, C++, C#)
  • Custom theme support for graphs
  • Keyboard navigation in graph view

Note: C language support was added in v0.2.0


Test Coverage by Module

Module Tests Coverage
cache.rs 20 100%
error.rs 18 100%
parser_registry.rs 21 97%
index.rs 26 71%
watcher.rs 14 25%
ai_context.rs 9 18%
backend.rs 0 0% (requires LSP integration tests)
handlers/* 0 0% (requires LSP integration tests)

Known Issues

  1. In-memory only graph - Re-indexes on every startup
  2. Approximate token counting - Uses 4 chars/token heuristic
  3. No incremental updates - ✅ Implemented with debounced file watcher
  4. Graph visualization incomplete - ✅ Working with force-directed layout

Next Steps (Priority Order)

  1. Implement file watcher integration for incremental updates - ✅ Done
  2. Complete graph visualization webview - ✅ Done
  3. Add persistence layer for graph data
  4. Implement codegraph.openAIChat command