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ChessPrism/cline_docs/activeContext.md
TheMaddax 4b8935afd1 feat: Implement auto-capture and cursor-free snapshots 
- Add automatic capture start/stop based on board detection
- Implement cursor-free snapshot system:
  * Add SCStreamConfiguration cursor control
  * Add temporary capture session management
  * Ensure clean snapshots without cursor artifacts
- Add visual feedback:
  * Status indicator (green/yellow/gray)
  * Snapshot preview below board
  * Clear capture state indication
- Update documentation:
  * Add snapshot system patterns
  * Document cursor control implementation
  * Update technical constraints
2025-01-07 09:44:37 -06:00

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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