ChessPrism/cline_docs/activeContext.md

Active Context

Current Status

• Screen capture module implemented
• Pattern recognition-based board detection implemented
• Coordinate-based detection retained as fallback
• SwiftUI interface for capture controls added
• Proper resource cleanup implemented
• Error handling system in place

Recent Changes

• Refined pattern recognition approach for chess board detection:
  1. Modified rectangle detection parameters:
     • Using 0.3-0.5 aspect ratio for taller rectangles
     • Increased minimum size to 0.4
     • Single observation for precision
  2. Improved board extraction:
     • Using detected width as reference
     • Positioning square board at top of detected area
     • Using offsetBy for vertical positioning
  3. Simplified coordinate handling:
     • Direct rectangle detection with Vision framework
     • Proper coordinate system transformations
     • Maintained pattern matching for accuracy

Current Challenges

• Board detection still not capturing full height
• Need to investigate if issue is with:
  1. Detection parameters
  2. Coordinate transformations
  3. View rendering constraints
  4. Window/display configuration

Next Steps

1. Further refine board detection:
   • Test different aspect ratios
   • Validate coordinate transformations
   • Review view constraints
2. Add board position analysis
3. Implement move detection
4. Create visual overlay system
5. Integrate Stockfish engine

Known Issues

• Board detection showing only bottom portion
• Need to validate pattern detection accuracy
• Need to handle multiple display configurations
• Requires testing with different screen resolutions
• Need to add proper error recovery
• Requires additional permission handling for production