ChessPrism/cline_docs/activeContext.md
2025-01-06 23:07:45 -06:00

2.2 KiB

Active Context

Current Status

  • Screen capture module successfully implemented
  • Window detection and capture working correctly
  • SwiftUI interface with capture controls functioning
  • Error handling system properly managing states
  • Resource cleanup implemented
  • Metal resource management optimized

Recent Changes

  1. Resource Management Optimization:

    • Implemented shared CIContext pattern:
      • Prevents command queue exhaustion
      • Reduces Metal resource usage
      • Enables long-running captures
    • Proper cleanup on task completion
    • Efficient resource utilization
  2. Improved Window Detection:

    • Using SCShareableContent for window access
    • Precise window identification:
      • Exact bundle ID matching (com.chess.iphone)
      • Window visibility verification (isOnScreen)
      • Size validation (width > 100 && height > 100)
  3. Enhanced Capture System:

    • Continuous capture implementation:
      • Single persistent capture stream
      • Smooth frame processing (no flickering)
      • Efficient resource usage
    • Proper frame dimensions from window
    • Clean task cancellation handling
    • Main thread safety for UI updates
  4. UI Simplification:

    • Removed debug overlay functionality
    • Cleaner, focused interface
    • Essential controls only:
      • Start/Stop capture
      • Full capture view
      • Board preview
  5. Error Handling:

    • Improved error resilience:
      • Continues capturing even if board detection fails
      • Only stops on critical errors (e.g., window not found)
      • Shows error state without interrupting capture
    • Clear error states
    • Proper async/await usage
    • Task cancellation management
    • Thread-safe state updates

Current Focus

  1. Board Detection:
    • Implement chess board recognition
    • Handle different board themes
    • Process captured frames efficiently

Next Steps

  1. Implement board detection:
    • Pattern recognition for chess pieces
    • Board coordinate mapping
    • Position validation
  2. Add position analysis
  3. Create move detection system
  4. Implement visual overlay
  5. Integrate Stockfish engine

Known Issues

  • Board detection not yet implemented
  • Need to handle different chess.com themes
  • Need to implement piece recognition
  • Position analysis pending implementation