- Add FeedParser.kt with automatic feed type detection
- Add RSSParser.kt for RSS 2.0 feeds
- Add AtomParser.kt for Atom 1.0 feeds
- Add comprehensive unit tests for both parsers
- Support iTunes namespace and enclosures
- Fix pre-existing compilation issues in the codebase
- Update build.gradle.kts with proper dependencies and AGP 8.5.0
- Embed schema directly in database.vala for simpler test deployment
- Fix test subscription_id values to match actual subscription IDs
- Fix search history test to handle non-deterministic ordering
All database tests now pass successfully.
- Add SubscriptionEntity, FeedItemEntity, SearchHistoryEntity
- Create SubscriptionDao, FeedItemDao, SearchHistoryDao with CRUD operations
- Implement RssDatabase with FTS5 virtual table for full-text search
- Add type converters for Date, String lists, and FeedItem lists
- Implement cascade delete for feed items when subscription is removed
- Add comprehensive unit tests for all DAOs
- Add database integration tests for entity round-trips and FTS
- Configure Room testing dependencies
- Add FeedItem, Feed, FeedSubscription models with Moshi JSON support
- Add SearchResult, SearchFilters models with sealed classes for enums
- Add NotificationPreferences, ReadingPreferences models
- Add Room Entity annotations for database readiness
- Add TypeConverters for Date and List<String> serialization
- Add Parcelize for passing models between Activities/Fragments
- Write comprehensive unit tests for serialization/deserialization
- Write tests for copy(), equals/hashCode, and toString functionality
- Define core entities: FeedItem, FeedSubscription, SearchHistoryItem
- Document entity relationships with diagram
- Create database schema with SQLite and FTS5
- Provide type mapping guide for Swift/Kotlin/C
- Define value types vs reference types
- Document enumeration types for all platforms
- Specify serialization/deserialization requirements
- Outline indexing strategy for performance
- Include memory considerations and future extensibility
- Document technology stack (Expo, TypeScript, Zustand, SQLite)
- Map out all data models and types
- Document service dependencies and architecture
- Create component dependency diagrams
- Document data flow for feed sync and search
- Provide migration checklist with priorities
- Identify pure TypeScript vs native-dependent services
This analysis provides the foundation for migrating business logic
from Expo/TypeScript to native platforms (iOS, Android, Linux).
