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News Summary Implementation Status

✅ MVP COMPLETE - v1.0.0 (Day 1)

Implemented Features (16 files, 3,019 lines):

✅ Models (4 files):

  • NewsCategory.swift - 9 news categories with icons/colors
  • BiasRating.swift - Bias spectrum, credibility models
  • NewsSource.swift - 40+ RSS sources with bias database
  • NewsArticle.swift - Article data model with deduplication

✅ Managers (2 files):

  • RSSParser.swift - XMLParser-based RSS parsing
  • NewsAggregator.swift - Multi-source fetching, deduplication, story grouping

✅ Services (1 file):

  • AIBackendManager.swift - Copied from TopGUI (multi-LLM support)

✅ ViewModels (1 file):

  • NewsEngine.swift - Main orchestrator

✅ Views (8 files):

  • NewsSummaryApp.swift - App entry point
  • ContentView.swift - Main dashboard
  • CategoryTabView.swift - Category selector tabs
  • ArticleFeedView.swift - Scrollable article list
  • ArticleDetailView.swift - Full article viewer
  • ArticleCard.swift - Individual article card
  • BiasIndicatorView.swift - L/C/R badge
  • BreakingNewsBanner.swift - Alert banner

Working Features:

✅ Fetch news from 40+ RSS sources ✅ 9 categories (US, World, Local, Business, Tech, Entertainment, Sports, Science, Health) ✅ Bias indicators (based on source database) ✅ Story grouping (same story, multiple sources) ✅ Article thumbnails ✅ Full article detail view ✅ Read/unread tracking (in-memory) ✅ Credibility scores ✅ Breaking news banner ✅ Category tabs with counts ✅ Smooth UI with dark theme

Status:

🎉 BUILD SUCCEEDED ✅ Installed to /Applications/News Summary.app ✅ Git initialized and committed ✅ README created

🚧 Phase 2: AI Integration (Next Session)

Remaining Files (~19 files):

  • AINewsSummarizer.swift
  • AIBiasDetector.swift
  • ArticleScraper.swift (web scraping)
  • BreakingNewsDetector.swift
  • NewsNotificationManager.swift
  • ReadingHistoryManager.swift
  • NewsPersistence.swift (Core Data)
  • ImageCacheManager.swift
  • StoryGroupingService.swift
  • SettingsView.swift
  • StatisticsView.swift
  • BiasSpectrumBar.swift (enhanced)
  • StoryComparisonView.swift
  • SourceCredibilityBadge.swift
  • NewsSummary.xcdatamodeld (Core Data schema)
  • Assets.xcassets
  • News Summary.entitlements

Features to Add:

🔲 AI one-liner summaries in feed 🔲 AI detailed summaries in detail view 🔲 AI key points extraction 🔲 AI content bias detection (beyond source) 🔲 Full article web scraping 🔲 Breaking news notifications 🔲 Reading history persistence (Core Data) 🔲 Statistics dashboard 🔲 Settings (local location, preferences) 🔲 Image caching (100 MB limit, LRU) 🔲 Story comparison view (side-by-side) 🔲 Background refresh timer 🔲 Dock badge counts

📊 Progress Summary

Total Planned: 35 files, ~7,000 lines Completed: 16 files, 3,019 lines (43%) Remaining: 19 files, ~4,000 lines (57%)

Time Spent: ~2 hours Estimated Remaining: ~2-3 hours

🧪 Test the MVP

  1. Launch /Applications/News Summary.app
  2. Click "Refresh" to load news
  3. Switch between categories
  4. Click any article to see details
  5. Notice bias badges (L/C/R)
  6. Check story groups (orange cards)

Expected: 100+ articles load in ~15 seconds across all categories

📝 Next Steps

When ready to continue:

  1. Implement AI summarization
  2. Add web scraping for full articles
  3. Implement Core Data for reading history
  4. Add breaking news notifications
  5. Create statistics dashboard
  6. Add image caching
  7. Archive and deploy v1.0.0 final