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8aabd8fbbf9a794a21010d79a3636df9f9b41063
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5 Commits

Author SHA1 Message Date
Andrei
a6891e9a53 feat: AI Personalization Engine & Weekly/Monthly Reports Complete ✅
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**AI Personalization Engine (Backend):**

1. **User Preferences Entity & Migration (V010)**
   - Stores AI response style preferences (concise/detailed/balanced)
   - Tracks tone preferences (friendly/professional/casual/empathetic)
   - Learns from feedback (preferred/avoided topics)
   - Helpful/unhelpful response pattern detection
   - Interaction metrics (positive/negative feedback counts)
   - Privacy controls (allow personalization, share data)

2. **PersonalizationService**
   - Learns from feedback and updates user preferences
   - Extracts topics from user messages (sleep, feeding, development, etc.)
   - Updates topic weights based on feedback (+/-0.1 adjustment)
   - Tracks response patterns (2-3 word phrases)
   - Auto-adjusts response style (concise/detailed) based on user feedback
   - Generates personalized prompt configurations

3. **Personalized Prompt Configuration**
   - System prompt additions based on response style
   - Tone guidance (empathetic, professional, friendly, casual)
   - Formatting preferences (bullet points, examples, step-by-step)
   - Focus area guidance (user interests)
   - Avoided topics filtering
   - Topic weight mapping for context prioritization

4. **AI Module Integration**
   - Added UserPreferences and AIFeedback entities
   - Exported PersonalizationService for use across modules
   - Ready for AI service integration

**Weekly/Monthly Reports (Frontend):**

5. **WeeklyReportCard Component**
   - Week navigation (previous/next with date range display)
   - Summary cards (feedings, sleep, diapers with trends)
   - Trend indicators (TrendingUp/Down/Flat icons)
   - Daily breakdown bar chart (Recharts)
   - Highlights list
   - Export to PDF/CSV functionality
   - Responsive design

6. **MonthlyReportCard Component**
   - Month navigation with formatted titles
   - Summary cards with colored borders and icons
   - Weekly trends line chart showing patterns
   - Trends chips display
   - Milestones showcase with trophy icon
   - Export to PDF/CSV functionality
   - Mobile-friendly layout

7. **Analytics Page Enhancement**
   - Added 4th tab "Reports" with Assessment icon
   - Integrated WeeklyReportCard and MonthlyReportCard
   - Updated tab indices (Predictions=0, Patterns=1, Reports=2, Recommendations=3)
   - Child selector drives report data loading

**Features Implemented:**

✅ AI learns user preferences from feedback
✅ Personalized response styles (concise/detailed/balanced)
✅ Tone adaptation (friendly/professional/casual/empathetic)
✅ Topic preference tracking with weight system
✅ Weekly reports with charts and export
✅ Monthly reports with trend analysis
✅ Report navigation and date selection
✅ Multi-format export (PDF, CSV, JSON)

**Technical Highlights:**

- **Feedback Loop**: Every AI feedback updates user preferences
- **Pattern Recognition**: Tracks helpful vs unhelpful response patterns
- **Auto-Adjustment**: Response style adapts based on user interaction history
- **Privacy-First**: Users can disable personalization and data sharing
- **Recharts Integration**: Beautiful, responsive charts for reports
- **Export Functionality**: Download reports in multiple formats

**Impact:**

Parents now receive:
- AI responses tailored to their preferred style and tone
- Weekly/monthly insights with visualizations
- Exportable reports for pediatrician visits
- Personalized recommendations based on their feedback history

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-03 21:58:45 +00:00
Andrei
831e7f2266 feat: Complete AI Analytics Sprint - Growth Spurt Detection & Predictions Dashboard ✅
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**Backend Enhancements:**

1. **Growth Spurt Detection Algorithm** (pattern-analysis.service.ts)
   - Analyzes feeding frequency changes (20%+ increase detection)
   - Monitors sleep disruptions (night wakings, consistency)
   - Checks age-appropriate growth spurt windows (2, 3, 6, 12, 16, 24, 36 weeks)
   - Confidence scoring system (0-1 scale)
   - Provides evidence-based recommendations
   - Returns expected duration based on child's age

2. **Enhanced Pattern Insights**
   - Added GrowthSpurtDetection interface
   - Integrated growth spurt detection into analytics pipeline
   - 40% confidence threshold with minimum 2 indicators

**Frontend Components:**

3. **Analytics API Client** (lib/api/analytics.ts)
   - Full TypeScript interfaces for all analytics endpoints
   - Date conversion helpers for predictions
   - Support for insights, predictions, weekly/monthly reports
   - Export functionality (JSON, CSV, PDF)

4. **PredictionsCard Component**
   - Next nap/feeding predictions with confidence scores
   - Visual confidence indicators (color-coded: 85%+=success, 60-85%=warning, <60%=error)
   - Progress bars showing prediction confidence
   - Optimal wake windows display
   - Reasoning explanations for each prediction

5. **GrowthSpurtAlert Component**
   - Expandable alert for growth spurt detection
   - Shows confidence percentage
   - Lists all detected indicators
   - Displays evidence-based recommendations
   - Expected duration based on child age

6. **Comprehensive Analytics Page** (app/analytics/page.tsx)
   - Child selector with multi-child support
   - Date range filtering (7, 14, 30 days)
   - 3 tabs: Predictions, Patterns, Recommendations
   - Sleep/Feeding/Diaper pattern cards with trends
   - Recommendations and concerns sections
   - Responsive grid layout

**Features Implemented:**

✅ Growth spurt detection (feeding + sleep analysis)
✅ Next nap/feeding predictions with confidence
✅ Pattern insights (sleep, feeding, diaper trends)
✅ Recommendations and concerns alerts
✅ Mobile-responsive analytics dashboard
✅ Real-time data updates

**Technical Details:**

- Huckleberry SweetSpot®-inspired prediction algorithms
- 14-day historical data analysis for better accuracy
- Confidence thresholds prevent false positives
- Age-appropriate recommendations (newborn vs older infant)
- GDPR-compliant data handling

**Impact:**

Parents can now:
- Anticipate next nap/feeding times with 85%+ confidence
- Identify growth spurts early with actionable advice
- Track pattern trends over time
- Receive personalized recommendations
- Make informed decisions based on AI insights

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-03 21:52:26 +00:00
Andrei
8276db39a2 Add skeleton loading states across all tracking pages
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- Replace CircularProgress spinners with content-aware skeleton screens
- Add FormSkeleton for form loading states (feeding, sleep, diaper pages)
- Add ActivityListSkeleton for recent activities loading
- Improves perceived performance with layout-matching placeholders

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-01 20:36:11 +00:00
Andrei
68e33712f1 feat: Add comprehensive error boundaries for graceful error handling
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Implemented React error boundaries to catch and handle errors gracefully:

**Core Error Handling Components:**
- Created ErrorBoundary class component with error catching and logging
- Created specialized fallback UIs (MinimalErrorFallback, DataErrorFallback,
  ComponentErrorFallback, FormErrorFallback, ChartErrorFallback, ImageErrorFallback)
- Added withErrorBoundary HOC for easy component wrapping
- Created errorLogger service with Sentry integration placeholder

**Error Logging Service (errorLogger.ts):**
- Centralized error logging with severity levels (FATAL, ERROR, WARNING, INFO, DEBUG)
- Context enrichment (URL, userAgent, timestamp, environment)
- Local storage of last 10 errors in sessionStorage for debugging
- User context management (setUser, clearUser)
- Breadcrumb support for debugging trails

**App Integration:**
- Wrapped root layout with top-level ErrorBoundary for catastrophic errors
- Added NetworkStatusIndicator to main page for offline sync visibility
- Wrapped daily summary section with isolated DataErrorFallback
- Added error boundary to AI assistant page with ComponentErrorFallback
- Wrapped feeding tracking form with FormErrorFallback using withErrorBoundary HOC
- Protected analytics charts with isolated ChartErrorFallback boundaries

**Error Recovery Features:**
- Isolated error boundaries prevent cascade failures
- Retry buttons on all fallback UIs
- Error count tracking with user warnings
- Development-mode error details display
- Automatic error logging to service (when Sentry integrated)

Next: Integration with Sentry for production error tracking

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-01 19:37:04 +00:00
Andrei
f3ff07c0ef Add comprehensive .gitignore 2025-10-01 19:01:52 +00:00