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_STATUS.md
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CURRENT_STATUS.md
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# Current Development Status
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**Last Updated:** 2025-09-30
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## ✅ Completed
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### Project Setup
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- Project structure created with modular architecture
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- Dependencies defined in `requirements.txt`
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- Environment configuration (`.env.example`)
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- Documentation (`README.md`, `PROJECT_PLAN.md`, `RESEARCH_FINDINGS.md`)
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### Core Systems
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- **State Manager** (`src/core/state_manager.py`): Event-driven state synchronization
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- Emotion states
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- Conversation history
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- Event listeners for state changes
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### UI Framework
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- **Waifu Window** (`src/ui/waifu_window.py`): Main transparent window
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- Frameless, transparent, always-on-top
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- Drag functionality with mouse events
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- Window positioning (bottom-right by default)
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- Integration with state manager
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- **VRM Widget** (`src/ui/vrm_widget.py`): OpenGL rendering widget
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- Basic OpenGL setup with transparency support
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- Placeholder rendering (rotating cube)
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- Animation timer (60 FPS)
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- Emotion state integration
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- Ready for VRM model loading
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### Discord Integration (Stub)
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- **Bot Framework** (`src/discord_bot/bot.py`): Basic bot structure
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- Command system (hello, status)
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- Event handlers (on_ready, on_message)
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- State manager integration
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- Mention/DM detection
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## 🔄 Next Steps (In Priority Order)
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### 1. Test Basic Functionality
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```bash
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# Install dependencies
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pip install -r requirements.txt
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# Run the app (will show placeholder cube)
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python main.py
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```
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Expected result:
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- Transparent window appears at bottom-right
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- Rotating colored cube visible
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- Window can be dragged
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- Emotion changes when grabbed (check console)
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### 2. Add Your VRM Model
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- Place `.vrm` file in `models/` folder
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- Update `.env` with path: `VRM_MODEL_PATH=./models/your_model.vrm`
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### 3. Implement VRM Loading
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**File:** `src/ui/vrm_widget.py`
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Tasks:
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- [ ] Use `pygltflib` to parse VRM file
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- [ ] Extract mesh data (vertices, normals, UVs, indices)
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- [ ] Extract material data (textures, colors)
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- [ ] Extract blend shape data (facial expressions)
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- [ ] Load textures into OpenGL
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- [ ] Create VBO/VAO for mesh rendering
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**Reference:** `RESEARCH_FINDINGS.md` for VRM structure
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### 4. Implement MToon Shader
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**New files:** `src/rendering/shaders/`
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Tasks:
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- [ ] Create vertex shader (GLSL)
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- [ ] Create MToon fragment shader (GLSL)
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- [ ] Shader compilation and linking
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- [ ] Pass material parameters to shader
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- [ ] Render VRM mesh with shader
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**Reference:** https://github.com/Santarh/MToon
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### 5. Add Sound Effects
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**New file:** `src/audio/sound_manager.py`
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Tasks:
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- [ ] Initialize pygame mixer
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- [ ] Load sound files from `assets/sounds/`
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- [ ] Play squeak on grab/drag
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- [ ] Play click on double-click
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- [ ] Integrate with state manager events
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### 6. Create Chat Interface
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**New file:** `src/ui/chat_window.py`
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Tasks:
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- [ ] Create chat window (QDialog or QWidget)
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- [ ] Text input field
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- [ ] Message history display
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- [ ] Show/hide on double-click
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- [ ] Integration with LLM backend
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### 7. Integrate LLM
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**New file:** `src/llm/llm_backend.py`
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Tasks:
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- [ ] Abstract LLM interface
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- [ ] Ollama implementation
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- [ ] llama.cpp implementation
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- [ ] Message processing
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- [ ] Emotion detection from responses
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- [ ] Update state based on LLM output
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### 8. Complete Discord Bot
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**File:** `src/discord_bot/bot.py`
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Tasks:
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- [ ] Connect Discord bot to LLM backend
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- [ ] Implement proper message responses
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- [ ] Add more commands
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- [ ] Sync desktop emotion with Discord messages
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- [ ] Handle async communication with desktop app
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### 9. Package as .exe
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Tasks:
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- [ ] Test with PyInstaller
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- [ ] Create spec file
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- [ ] Bundle assets (models, sounds)
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- [ ] Test standalone .exe
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## 🐛 Known Issues
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None yet - basic structure is in place
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## 📝 Notes
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### VRM Model Requirements
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- Format: `.vrm` (based on glTF 2.0)
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- Should contain blend shapes for expressions
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- MToon material support needed
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### LLM Integration Options
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1. **Ollama** (easiest): `ollama pull llama2` then use API
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2. **llama.cpp**: Faster, more control
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3. **Custom**: Your own model server
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### Discord Bot Token
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- Get from: https://discord.com/developers/applications
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- Enable Message Content Intent
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- Add to `.env`: `DISCORD_BOT_TOKEN=your_token_here`
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## 🔗 Important Files to Review
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- `PROJECT_PLAN.md`: Overall project plan and architecture
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- `RESEARCH_FINDINGS.md`: Technical research on VRM rendering
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- `README.md`: Setup and usage instructions
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- `main.py`: Application entry point
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- `src/core/state_manager.py`: Central state system
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- `src/ui/vrm_widget.py`: Where VRM rendering happens
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## 🎯 Testing Checklist
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- [ ] Window appears and is transparent
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- [ ] Window can be dragged
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- [ ] Placeholder renders correctly
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- [ ] Console shows emotion changes
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- [ ] Install dependencies works
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- [ ] .env configuration works
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- [ ] (After VRM) Model loads without errors
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- [ ] (After VRM) Model renders correctly
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- [ ] (After sound) Sound plays on interaction
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- [ ] (After LLM) Chat works
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- [ ] (After Discord) Bot connects and responds
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