Overview
Add support for Windows platforms to SwiftAutoGUI, enabling automation capabilities on the world's most widely used desktop operating system.
Motivation
Windows has the largest desktop market share, and supporting it would make SwiftAutoGUI accessible to a vast number of developers and users. This would position SwiftAutoGUI as a comprehensive cross-platform automation solution.
Technical Requirements
1. Platform APIs
- Replace CoreGraphics with Windows APIs
- Utilize Windows API functions:
- Mouse control (SetCursorPos, mouse_event/SendInput)
- Keyboard control (keybd_event/SendInput)
- Screen capture (BitBlt, Desktop Duplication API)
2. Dependencies
- Swift on Windows compatibility
- Windows SDK integration
- OpenCV for Windows (already cross-platform)
- Potential use of Windows.h and User32.dll
3. Implementation Tasks
Mouse Control
Keyboard Control
Screen Capture
Image Recognition
4. Build System
5. Testing
Example Implementation Structure
#if os(Windows)
import WinSDK
extension SwiftAutoGUI {
public static func moveMouse(dx: Int32, dy: Int32) {
var point = POINT()
GetCursorPos(&point)
SetCursorPos(point.x + dx, point.y + dy)
}
public static func leftClick() {
var input = INPUT()
input.type = INPUT_MOUSE
input.mi.dwFlags = MOUSEEVENTF_LEFTDOWN
SendInput(1, &input, MemoryLayout<INPUT>.size)
input.mi.dwFlags = MOUSEEVENTF_LEFTUP
SendInput(1, &input, MemoryLayout<INPUT>.size)
}
}
#endif
Challenges
- Swift on Windows: Still evolving ecosystem with limited libraries
- API Complexity: Windows API can be more complex than macOS equivalents
- Security: Windows Defender and antivirus software may flag automation
- DPI Scaling: Handling different DPI settings across monitors
- UAC: User Account Control may interfere with automation
Success Criteria
Implementation Priority
- Basic mouse movement and clicks
- Keyboard input
- Screenshot functionality
- Image recognition features
- Advanced features (multi-monitor support, etc.)
References
Overview
Add support for Windows platforms to SwiftAutoGUI, enabling automation capabilities on the world's most widely used desktop operating system.
Motivation
Windows has the largest desktop market share, and supporting it would make SwiftAutoGUI accessible to a vast number of developers and users. This would position SwiftAutoGUI as a comprehensive cross-platform automation solution.
Technical Requirements
1. Platform APIs
2. Dependencies
3. Implementation Tasks
Mouse Control
Keyboard Control
Screen Capture
Image Recognition
4. Build System
5. Testing
Example Implementation Structure
Challenges
Success Criteria
Implementation Priority
References