# Mulita - Self-Hosted Photo Management Application

A self-hosted, Docker-deployed photo management application inspired by Lightroom's workflow. Mulita provides a fast, keyboard-driven interface to browse, organize, tag, and manage your photo library.

## Features

- **Photo Organization**: Browse photos in a timeline view with virtual scrolling for performance
- **Thumbnail Generation**: Automatic thumbnail generation for all photo formats including RAW
- **Metadata Extraction**: Full EXIF/XMP metadata extraction and search
- **Keyboard Shortcuts**: Lightroom-style keyboard navigation and actions
- **File Support**: JPEG, PNG, RAW formats (CR2, CR3, NEF, ARW, etc.), HEIC/HEIF, and videos
- **Heaps**: Temporary collections for organizing photos
- **Tags & Ratings**: Organize with tags, star ratings, and color labels
- **Dark Mode**: Photography-optimized dark interface

## Tech Stack

### Backend
- Python 3.12 with FastAPI
- SQLite with SQLAlchemy (async)
- Celery + Redis for background tasks
- pyvips for fast thumbnail generation
- ExifTool for metadata extraction

### Frontend
- React 18 with TypeScript
- Vite for fast development
- TanStack Query for data fetching
- TanStack Virtual for virtualized scrolling
- Tailwind CSS for styling
- Zustand for state management

## Quick Start

### Prerequisites
- Docker and Docker Compose
- Photo directories to mount

### Setup

1. Clone the repository:
```bash
git clone <repository-url>
cd muleimage
```

2. Configure your photo directories in `.env`:
```bash
# Edit .env file
PHOTO_DIRS=/path/to/your/photos
```

3. Start the application:
```bash
docker-compose up -d
```

4. Access the application at `http://localhost:3000`

## Architecture

The application consists of 5 Docker services:

- **frontend**: React SPA served by Nginx
- **backend**: FastAPI REST API
- **worker**: Celery workers for background tasks
- **redis**: Message broker for Celery
- **db**: SQLite database (file-based)

## Keyboard Shortcuts

| Key | Action |
|-----|--------|
| `←` `→` `↑` `↓` | Navigate photos |
| `Space` | Quick preview |
| `Enter` | Open loupe view |
| `P` | Pick photo |
| `X` | Reject photo |
| `1-5` | Set star rating |
| `Tab` | Toggle left sidebar |
| `I` | Toggle metadata panel |
| `G` | Grid view |
| `E` | Loupe view |
| `Delete` | Move to trash |

## Development

### Backend Development
```bash
cd backend
pip install -r requirements.txt
uvicorn app.main:app --reload
```

### Frontend Development
```bash
cd frontend
npm install
npm run dev
```

## Configuration

Edit `mulita.yml` to configure:
- Source photo directories
- Thumbnail sizes and quality
- Scanner settings
- Performance tuning

## Performance

- Handles 100,000+ photos efficiently
- Virtual scrolling for smooth timeline navigation
- Thumbnail generation at 10+ photos/second
- SQLite FTS5 for fast full-text search

## Future Features (Phase 2)

- AI-powered scene classification
- Face detection and clustering
- Smart albums
- Duplicate detection
- Export presets
- Multi-user support

## License

MIT