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