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🔮 Future Roadmap

🚧 Technical Debt & Improvements

Error Handling

Ingestion Robustness: Currently, DataIntegrityViolationException is ignored during scanning. A more detailed logging or reporting mechanism for skipped files would be beneficial.
Path Handling: Move away from string concatenation for paths (e.g., "images" + "/" + ...) to java.nio.Path resolution to ensure cross-platform compatibility (Windows vs Linux separators).

Performance

Caching: Implement Spring Cache for getPagedPhotos and getRandomPhotos to reduce database load.
Batch Processing: The current scanning process saves photos one by one. Implementing saveAll() with batching would significantly speed up large library imports.

✨ Planned Features

AI Integration

Auto-Tagging: Re-enable and implement the taggingService (currently commented out in PhotoService) to automatically generate tags using a local ML model or cloud API.
Face Recognition: Group photos by detected faces.

User Experience

Dark Mode: Toggle between light and dark themes.
Multi-Select: Allow selecting multiple photos for batch tagging or deleting.
EXIF Editing: Allow users to manually update incorrect EXIF data via the UI.

Backend

Cloud Storage: Add an abstraction layer to support S3 or Azure Blob Storage instead of just local file systems.
User Accounts: Add Spring Security to support multiple users with private galleries.

🧪 Testing

Unit Tests: Add JUnit 5 tests for PhotoService logic.
Integration Tests: Test the full ingestion flow with temporary directories.

Note: This document serves as a living roadmap. Priorities may change based on user feedback and technical requirements.