Major performance improvements to prevent crashes and lag when working with large label collections:
Main App:
- Switch to Core Data as primary source for labels (instant loading)
- Implement background API sync to keep labels up-to-date
- Add LazyVStack for efficient rendering of large label lists
- Use batch operations instead of individual queries (1 query vs 1000)
- Generate unique IDs for local labels to prevent duplicate warnings
Share Extension:
- Convert getTags() to async with background context
- Add saveTags() method with batch insert support
- Load labels from Core Data first, then sync with API
- Remove duplicate server reachability checks
- Reduce memory usage and prevent UI freezes
Technical Details:
- Labels now load instantly from local cache
- API sync happens in background without blocking UI
- Batch fetch operations for optimal database performance
- Proper error handling for offline scenarios
- Fixed duplicate ID warnings in ForEach loops
Fixes crashes and lag reported by users with 1000+ labels.
Ilyas Hallak
907cc9220f