# 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
- Automatic board detection and capture implemented
- Visual capture status indicator added
- Continuous board monitoring system implemented
- Auto-capture on game start/stop working successfully
- Manual snapshot system implemented with Scan button
- Snapshot preview display added below Chessboard Preview
- Cursor-free snapshot capture implemented

## Recent Changes
1. Enhanced Manual Snapshot System:
   - New cursor-free capture:
     * Temporarily disables cursor during snapshot
     * Ensures clean board capture without mouse pointer
     * Automatically restores cursor after snapshot
   - Improved snapshot process:
     * Stops current capture
     * Takes cursor-free snapshot
     * Processes board detection
     * Restores normal capture
     * Handles errors gracefully
   - Snapshot visualization:
     * Added preview area below Chessboard Preview
     * Shows latest snapshot with visual feedback
     * Clear indication when snapshot is taken

2. Implemented Continuous Board Monitoring:
   - Added separate monitoring and capture tasks:
     * Monitor constantly checks for chess boards (0.5s interval)
     * Capture processes frames when active (0.1s interval)
   - Auto-capture behavior working as expected:
     * Starts monitoring when app launches
     * Automatically starts capture when board appears
     * Stops capture but continues monitoring when board disappears
     * Successfully resumes capture when new game starts
   - Performance characteristics:
     * ~40% CPU usage during operation
     * Stable memory management
     * Responsive to game state changes

3. Enhanced Status Indication:
   - Visual status indicator shows capture state:
     * Green: Actively capturing board
     * Yellow: Waiting for board
     * Gray: Not capturing
   - Clear error messages for different states
   - Automatic status updates based on board detection

4. Resource Management:
   - Implemented shared CIContext pattern:
     * Prevents command queue exhaustion
     * Reduces Metal resource usage
     * Enables long-running captures
   - Proper cleanup on task completion
   - Efficient resource utilization

5. 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)

6. Error Handling:
   - Improved error resilience:
     * Continues monitoring even if capture stops
     * Only stops on critical errors
     * Shows error state without interrupting monitoring
   - Clear error states
   - Proper async/await usage
   - Task cancellation management
   - Thread-safe state updates

## Current Focus
1. Board Recognition:
   - Process snapshot images
   - Implement piece detection
   - Extract board state

## Next Steps
1. Implement board recognition:
   - Process snapshot images
   - Detect chess pieces
   - Map board coordinates
   - Validate positions
2. Add position analysis
3. Create move detection system
4. Implement visual overlay
5. Integrate Stockfish engine

## Known Issues
- Need to handle different chess.com themes
- Need to implement piece recognition
- Position analysis pending implementation