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
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# 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
```bash
# 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
- Get from: https://discord.com/developers/applications
- Enable Message Content Intent
- Add to `.env`: `DISCORD_BOT_TOKEN=your_token_here`
## 🔗 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