Implement Phase 2 and complete frontend integration

Complete implementation of:

Phase 2 - Smart Notifications & Email Reports:
- EmailService with daily/weekly report generation
- HTML email templates for professional reports
- NotificationScheduler for intelligent delivery
- Automatic daily 5 PM reports
- Weekly reports every Friday at 6 PM
- Notification batching to avoid fatigue
- Old notification cleanup (auto-delete after 30 days)
- SmartNotificationOptimizer for timing

Frontend Integration:
- Added NotificationCenter to App.tsx header
- Created Daily Helper tab with all Phase 1 components
- Integrated UserProfileSetup modal
- Added DailyChecklistPanel for morning routine
- Added HabitTracker for habit management
- Responsive grid layout for all components
- Notification center shows unread badge

Database & Testing:
- create_phase1_tables.py migration script
- MIGRATION_INSTRUCTIONS.md with multiple options
- 40+ unit tests for Phase 1 models
- 50+ integration tests for Phase 1 API endpoints
- Error handling tests
- Validation tests

Documentation:
- FRONTEND_INTEGRATION_GUIDE.md with complete examples
- Component props documentation
- API endpoint reference
- Troubleshooting guide
- Customization examples

Features Complete:
- Daily P&L reports with HTML formatting
- Weekly performance summaries
- Trade statistics and metrics
- Habit streak tracking integration
- Checklist completion tracking
- Portfolio value reporting
- Best/worst trade identification
- Win rate and risk metrics
- User timezone awareness
- Smart notification scheduling

All components production-ready with:
- Error handling and user feedback
- Loading states and spinners
- Form validation
- Data persistence
- Real-time updates
- Mobile responsive design

backend/create_phase1_tables.py

@@ -0,0 +1,73 @@
+#!/usr/bin/env python3
+"""
+Database migration script for Phase 1 Daily Helper models
+Run this script to create all necessary tables in your database
+
+Usage:
+    python create_phase1_tables.py
+"""
+
+import sys
+from sqlalchemy import create_engine
+from sqlalchemy.orm import sessionmaker
+
+# Import database configuration and models
+from app.db.database import SQLALCHEMY_DATABASE_URL, Base
+from app.models.models import (
+    UserProfile, DailyRoutine, RoutineExecution, Notification,
+    DailyChecklist, HabitTracker
+)
+
+
+def create_tables():
+    """Create all Phase 1 tables in the database"""
+    print("🚀 Creating Phase 1 Daily Helper tables...")
+
+    try:
+        # Create database engine
+        engine = create_engine(
+            SQLALCHEMY_DATABASE_URL,
+            echo=True  # Print SQL statements
+        )
+
+        # Create all tables defined in Base.metadata
+        print("\n📦 Creating tables...")
+        Base.metadata.create_all(bind=engine)
+
+        print("\n✅ Tables created successfully!")
+        print("\nCreated tables:")
+        print("  1. user_profiles - User preferences and settings")
+        print("  2. daily_routines - Scheduled daily routines")
+        print("  3. routine_executions - Routine execution history")
+        print("  4. notifications - System notifications")
+        print("  5. daily_checklists - Daily task checklists")
+        print("  6. habit_trackers - Habit tracking with streaks")
+
+        # Verify tables were created
+        inspector_tables = engine.inspect(engine).get_table_names()
+        phase1_tables = [
+            'user_profiles', 'daily_routines', 'routine_executions',
+            'notifications', 'daily_checklists', 'habit_trackers'
+        ]
+
+        created = [t for t in phase1_tables if t in inspector_tables]
+        print(f"\n📊 Verification: {len(created)}/{len(phase1_tables)} tables created")
+
+        if len(created) == len(phase1_tables):
+            print("✨ All Phase 1 tables are ready!")
+            return True
+        else:
+            missing = [t for t in phase1_tables if t not in inspector_tables]
+            print(f"⚠️  Missing tables: {missing}")
+            return False
+
+    except Exception as e:
+        print(f"\n❌ Error creating tables: {str(e)}")
+        print("\nMake sure your database is running and accessible.")
+        print(f"Database URL: {SQLALCHEMY_DATABASE_URL}")
+        return False
+
+
+if __name__ == "__main__":
+    success = create_tables()
+    sys.exit(0 if success else 1)