dtoro
322969c938
Adds the destructive-action loop the discard concept needed:
- Click "Discarded" in the left sidebar → activates the discarded
filter; the timeline reloads showing discarded photos.
- DiscardActionBar appears at the top of the timeline only when the
discarded filter is active. Shows the count, a Restore button (when
photos are selected), and an Empty discard pile button.
- Empty action goes through a ConfirmDialog (new tiny reusable modal,
same overlay pattern as AddSourceFolderDialog).
- Restore goes through POST /api/v1/discard/restore.
- DELETE /api/v1/discard/empty now actually os.unlink()s the files
from disk in addition to removing the DB rows. Per-file failures
are logged and reported in the response so a single permission
error doesn't abort the batch.
Other library nodes wired in passing:
- "All Photos" → clearAll()
- "Rated" → setRatingMin(1)
- "Flagged" → setFlag('picked')
- "Discarded" → setFlag('discarded')
- "By Date" left unwired (needs a date-grouping UI)
Single-photo restore via the U keyboard shortcut already worked from
an earlier round, no change needed.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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
- Clone the repository:
git clone <repository-url>
cd muleimage
- Configure your photo directories in
.env:
# Edit .env file
PHOTO_DIRS=/path/to/your/photos
- Start the application:
docker-compose up -d
- 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
cd backend
pip install -r requirements.txt
uvicorn app.main:app --reload
Frontend Development
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