Files
Rosie/CURRENT_STATUS.md
Dani a657979bfd Initial commit: Desktop Waifu MVP foundation
- Project structure with modular architecture
- State management system (emotion states, conversation history)
- Transparent, draggable PyQt6 window
- OpenGL rendering widget with placeholder cube
- Discord bot framework (commands, event handlers)
- Complete documentation (README, project plan, research findings)
- Environment configuration template
- Dependencies defined in requirements.txt

MVP features working:
- Transparent window appears at bottom-right
- Window can be dragged around
- Placeholder 3D cube renders and rotates
- Emotion state changes on interaction
- Event-driven state management

Next steps: VRM model loading and rendering
2025-09-30 18:42:54 -04:00

4.8 KiB

Current Development Status

Last Updated: 2025-09-30

Completed

Project Setup

  • Project structure created with modular architecture
  • Dependencies defined in requirements.txt
  • Environment configuration (.env.example)
  • Documentation (README.md, PROJECT_PLAN.md, RESEARCH_FINDINGS.md)

Core Systems

  • State Manager (src/core/state_manager.py): Event-driven state synchronization
    • Emotion states
    • Conversation history
    • Event listeners for state changes

UI Framework

  • Waifu Window (src/ui/waifu_window.py): Main transparent window

    • Frameless, transparent, always-on-top
    • Drag functionality with mouse events
    • Window positioning (bottom-right by default)
    • Integration with state manager
  • VRM Widget (src/ui/vrm_widget.py): OpenGL rendering widget

    • Basic OpenGL setup with transparency support
    • Placeholder rendering (rotating cube)
    • Animation timer (60 FPS)
    • Emotion state integration
    • Ready for VRM model loading

Discord Integration (Stub)

  • Bot Framework (src/discord_bot/bot.py): Basic bot structure
    • Command system (hello, status)
    • Event handlers (on_ready, on_message)
    • State manager integration
    • Mention/DM detection

🔄 Next Steps (In Priority Order)

1. Test Basic Functionality

# Install dependencies
pip install -r requirements.txt

# Run the app (will show placeholder cube)
python main.py

Expected result:

  • Transparent window appears at bottom-right
  • Rotating colored cube visible
  • Window can be dragged
  • Emotion changes when grabbed (check console)

2. Add Your VRM Model

  • Place .vrm file in models/ folder
  • Update .env with path: VRM_MODEL_PATH=./models/your_model.vrm

3. Implement VRM Loading

File: src/ui/vrm_widget.py

Tasks:

  • Use pygltflib to parse VRM file
  • Extract mesh data (vertices, normals, UVs, indices)
  • Extract material data (textures, colors)
  • Extract blend shape data (facial expressions)
  • Load textures into OpenGL
  • Create VBO/VAO for mesh rendering

Reference: RESEARCH_FINDINGS.md for VRM structure

4. Implement MToon Shader

New files: src/rendering/shaders/

Tasks:

  • Create vertex shader (GLSL)
  • Create MToon fragment shader (GLSL)
  • Shader compilation and linking
  • Pass material parameters to shader
  • Render VRM mesh with shader

Reference: https://github.com/Santarh/MToon

5. Add Sound Effects

New file: src/audio/sound_manager.py

Tasks:

  • Initialize pygame mixer
  • Load sound files from assets/sounds/
  • Play squeak on grab/drag
  • Play click on double-click
  • Integrate with state manager events

6. Create Chat Interface

New file: src/ui/chat_window.py

Tasks:

  • Create chat window (QDialog or QWidget)
  • Text input field
  • Message history display
  • Show/hide on double-click
  • Integration with LLM backend

7. Integrate LLM

New file: src/llm/llm_backend.py

Tasks:

  • Abstract LLM interface
  • Ollama implementation
  • llama.cpp implementation
  • Message processing
  • Emotion detection from responses
  • Update state based on LLM output

8. Complete Discord Bot

File: src/discord_bot/bot.py

Tasks:

  • Connect Discord bot to LLM backend
  • Implement proper message responses
  • Add more commands
  • Sync desktop emotion with Discord messages
  • Handle async communication with desktop app

9. Package as .exe

Tasks:

  • Test with PyInstaller
  • Create spec file
  • Bundle assets (models, sounds)
  • Test standalone .exe

🐛 Known Issues

None yet - basic structure is in place

📝 Notes

VRM Model Requirements

  • Format: .vrm (based on glTF 2.0)
  • Should contain blend shapes for expressions
  • MToon material support needed

LLM Integration Options

  1. Ollama (easiest): ollama pull llama2 then use API
  2. llama.cpp: Faster, more control
  3. Custom: Your own model server

Discord Bot Token

🔗 Important Files to Review

  • PROJECT_PLAN.md: Overall project plan and architecture
  • RESEARCH_FINDINGS.md: Technical research on VRM rendering
  • README.md: Setup and usage instructions
  • main.py: Application entry point
  • src/core/state_manager.py: Central state system
  • src/ui/vrm_widget.py: Where VRM rendering happens

🎯 Testing Checklist

  • Window appears and is transparent
  • Window can be dragged
  • Placeholder renders correctly
  • Console shows emotion changes
  • Install dependencies works
  • .env configuration works
  • (After VRM) Model loads without errors
  • (After VRM) Model renders correctly
  • (After sound) Sound plays on interaction
  • (After LLM) Chat works
  • (After Discord) Bot connects and responds