- 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
102 lines
3.5 KiB
Markdown
102 lines
3.5 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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- Auto-capture on game start/stop working successfully
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- Manual snapshot system implemented with Scan button
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- Snapshot preview display added below Chessboard Preview
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- Cursor-free snapshot capture implemented
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## Recent Changes
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1. Enhanced Manual Snapshot System:
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- New cursor-free capture:
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* Temporarily disables cursor during snapshot
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* Ensures clean board capture without mouse pointer
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* Automatically restores cursor after snapshot
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- Improved snapshot process:
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* Stops current capture
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* Takes cursor-free snapshot
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* Processes board detection
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* Restores normal capture
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* Handles errors gracefully
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- Snapshot visualization:
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* Added preview area below Chessboard Preview
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* Shows latest snapshot with visual feedback
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* Clear indication when snapshot is taken
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2. 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 working as expected:
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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 continues monitoring when board disappears
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* Successfully resumes capture when new game starts
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- Performance characteristics:
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* ~40% CPU usage during operation
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* Stable memory management
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* Responsive to game state changes
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3. 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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4. Resource Management:
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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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5. 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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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 Recognition:
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- Process snapshot images
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- Implement piece detection
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- Extract board state
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## Next Steps
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1. Implement board recognition:
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- Process snapshot images
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- Detect chess pieces
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- Map board coordinates
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- Validate positions
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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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