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scripts/initialize_sample_data.py

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+#!/usr/bin/env python
+"""
+Script to initialize the database with sample data for development.
+"""
+import os
+import sys
+import django
+from datetime import timedelta
+from django.utils import timezone
+
+# Add project to path
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+# Setup Django
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')
+django.setup()
+
+from monitor.models import BitcoinPrice, MarketAnalysis, NotificationPreference
+from monitor.services.historical_data import HistoricalDataFetcher
+from monitor.services.analyzer import MarketAnalyzer
+
+
+def initialize_sample_data():
+    """Initialize database with sample data."""
+    print("🚀 Initializing Bitcoin Monitor with Sample Data")
+    print("=" * 50)
+    
+    # Check if data already exists
+    if BitcoinPrice.objects.exists():
+        print("⚠️  Database already contains data.")
+        response = input("Clear existing data? (y/N): ")
+        if response.lower() != 'y':
+            print("Exiting...")
+            return
+    
+    # Load historical data
+    print("\n📊 Loading historical Bitcoin data...")
+    fetcher = HistoricalDataFetcher()
+    
+    # Try to fetch real data
+    historical_data = fetcher.fetch_historical_data(days=90)  # 3 months
+    
+    if not historical_data:
+        print("⚠️  Could not fetch real data. Generating synthetic data...")
+        historical_data = fetcher.generate_test_data(days=90)
+    
+    # Save data
+    save_stats = fetcher.save_historical_data(
+        historical_data=historical_data,
+        clear_existing=True
+    )
+    
+    print(f"✅ Saved {save_stats['saved']} price records")
+    
+    # Run analysis
+    print("\n📈 Running market analysis...")
+    analyzer = MarketAnalyzer()
+    
+    analyses_created = 0
+    for period in ['hourly', 'daily', 'weekly']:
+        analysis = analyzer.analyze_market(period)
+        if analysis:
+            analyses_created += 1
+            print(f"  Created {period} analysis: {analysis.status}")
+    
+    print(f"✅ Created {analyses_created} market analyses")
+    
+    # Setup notification preferences
+    print("\n📧 Setting up notification preferences...")
+    
+    test_emails = [
+        'ali.c.zeybek@gmail.com',
+        'alican@alicanzeybek.xyz',
+    ]
+    
+    for email in test_emails:
+        pref, created = NotificationPreference.objects.get_or_create(
+            email_address=email,
+            defaults={
+                'receive_event_alerts': True,
+                'receive_system_alerts': True,
+                'receive_daily_digest': True,
+                'is_active': True,
+            }
+        )
+        
+        if created:
+            print(f"  Created preferences for {email}")
+        else:
+            print(f"  Preferences already exist for {email}")
+    
+    # Display summary
+    print("\n" + "=" * 50)
+    print("🎉 Sample Data Initialization Complete!")
+    print("\nSummary:")
+    print(f"  • Bitcoin price records: {BitcoinPrice.objects.count()}")
+    print(f"  • Market analyses: {MarketAnalysis.objects.count()}")
+    print(f"  • Notification preferences: {NotificationPreference.objects.count()}")
+    
+    print("\nNext steps:")
+    print("  1. Start the server: python manage.py runserver")
+    print("  2. Visit dashboard: http://localhost:8000/")
+    print("  3. Check admin: http://localhost:8000/admin/")
+    print("  4. Load more data: python manage.py load_historical_data --days 365")
+
+
+if __name__ == '__main__':
+    initialize_sample_data()