90 lines
3 KiB
Markdown
90 lines
3 KiB
Markdown
# Active Context
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## Current Status
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- Screen capture module successfully implemented
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- Window detection and capture working correctly
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- SwiftUI interface with capture controls functioning
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- Error handling system properly managing states
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- Resource cleanup implemented
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- Metal resource management optimized
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- Automatic board detection and capture implemented
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- Visual capture status indicator added
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- Continuous board monitoring system implemented
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## Recent Changes
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1. Implemented Continuous Board Monitoring:
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- Added separate monitoring and capture tasks:
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* Monitor constantly checks for chess boards (0.5s interval)
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* Capture processes frames when active (0.1s interval)
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- Auto-capture behavior:
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* Starts monitoring when app launches
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* Automatically starts capture when board appears
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* Stops capture (but keeps monitoring) when board disappears
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* Resumes capture when new board is detected
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- Fixed image conversion pipeline:
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* Proper NSImage → CGImage → CIImage conversion
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* Efficient resource management
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* Clean error handling
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2. Enhanced Status Indication:
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- Visual status indicator shows capture state:
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* Green: Actively capturing board
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* Yellow: Waiting for board
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* Gray: Not capturing
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- Clear error messages for different states
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- Automatic status updates based on board detection
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3. Resource Management Optimization:
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- Implemented shared CIContext pattern:
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* Prevents command queue exhaustion
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* Reduces Metal resource usage
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* Enables long-running captures
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- Proper cleanup on task completion
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- Efficient resource utilization
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4. Improved Window Detection:
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- Using SCShareableContent for window access
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- Precise window identification:
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* Exact bundle ID matching (com.chess.iphone)
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* Window visibility verification (isOnScreen)
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* Size validation (width > 100 && height > 100)
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5. Enhanced Capture System:
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- Continuous capture implementation:
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* Single persistent capture stream
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* Smooth frame processing (no flickering)
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* Efficient resource usage
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- Proper frame dimensions from window
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- Clean task cancellation handling
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- Main thread safety for UI updates
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6. Error Handling:
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- Improved error resilience:
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* Continues monitoring even if capture stops
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* Only stops on critical errors
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* Shows error state without interrupting monitoring
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- Clear error states
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- Proper async/await usage
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- Task cancellation management
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- Thread-safe state updates
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## Current Focus
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1. Board Detection:
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- Implement chess board recognition
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- Handle different board themes
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- Process captured frames efficiently
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## Next Steps
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1. Implement board detection:
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- Pattern recognition for chess pieces
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- Board coordinate mapping
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- Position validation
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2. Add position analysis
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3. Create move detection system
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4. Implement visual overlay
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5. Integrate Stockfish engine
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## Known Issues
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- Need to handle different chess.com themes
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- Need to implement piece recognition
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- Position analysis pending implementation
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