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tracking_mockup.py 3.4KB

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  1. import os
  2. import django
  3. import random
  4. from datetime import datetime, timedelta
  5. # Set up Django environment
  6. os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'recycle.settings')
  7. django.setup()
  8. from tracking.models import Vehicle, Trip, MaintenanceLog, Appointment, GPSData, FuelTransaction
  9. from django.contrib.auth.models import User
  10. # Create mock data for Vehicles
  11. vehicle_data = [
  12. {'make': 'Toyota', 'model': 'Hilux', 'year': 2018, 'license_plate': 'ABC1234', 'capacity': 1000, 'status': 'available'},
  13. {'make': 'Ford', 'model': 'Ranger', 'year': 2019, 'license_plate': 'XYZ5678', 'capacity': 1200, 'status': 'in use'},
  14. {'make': 'Isuzu', 'model': 'D-Max', 'year': 2020, 'license_plate': 'LMN9101', 'capacity': 1500, 'status': 'under maintenance'},
  15. ]
  16. vehicles = [Vehicle(**data) for data in vehicle_data]
  17. Vehicle.objects.bulk_create(vehicles)
  18. # Create mock data for Users
  19. users = [
  20. User.objects.create_user(username='driver1', password='password123'),
  21. User.objects.create_user(username='driver2', password='password123'),
  22. ]
  23. # Create mock data for Trips
  24. trip_data = [
  25. {'vehicle': vehicles[0], 'driver': users[0], 'start_location': 'Location A', 'end_location': 'Location B', 'start_time': datetime.now() - timedelta(days=1), 'end_time': datetime.now(), 'mileage': 100, 'fuel_consumption': 10},
  26. {'vehicle': vehicles[1], 'driver': users[1], 'start_location': 'Location C', 'end_location': 'Location D', 'start_time': datetime.now() - timedelta(days=2), 'end_time': datetime.now() - timedelta(days=1), 'mileage': 150, 'fuel_consumption': 15},
  27. ]
  28. trips = [Trip(**data) for data in trip_data]
  29. Trip.objects.bulk_create(trips)
  30. # Create mock data for MaintenanceLogs
  31. maintenance_data = [
  32. {'vehicle': vehicles[2], 'date': datetime.now() - timedelta(days=10), 'description': 'Engine oil change', 'mileage': 20000},
  33. {'vehicle': vehicles[0], 'date': datetime.now() - timedelta(days=20), 'description': 'Brake pad replacement', 'mileage': 30000},
  34. ]
  35. maintenance_logs = [MaintenanceLog(**data) for data in maintenance_data]
  36. MaintenanceLog.objects.bulk_create(maintenance_logs)
  37. # Create mock data for Appointments
  38. appointment_data = [
  39. {'vehicle': vehicles[0], 'start_time': datetime.now() + timedelta(days=1), 'end_time': datetime.now() + timedelta(days=1, hours=2), 'purpose': 'Pickup recycling materials'},
  40. {'vehicle': vehicles[1], 'start_time': datetime.now() + timedelta(days=2), 'end_time': datetime.now() + timedelta(days=2, hours=3), 'purpose': 'Deliver recycled goods'},
  41. ]
  42. appointments = [Appointment(**data) for data in appointment_data]
  43. Appointment.objects.bulk_create(appointments)
  44. # Create mock data for GPSData
  45. gps_data = [
  46. {'vehicle': vehicles[0], 'latitude': 13.7563, 'longitude': 100.5018},
  47. {'vehicle': vehicles[1], 'latitude': 13.736717, 'longitude': 100.523186},
  48. ]
  49. gps_records = [GPSData(**data) for data in gps_data]
  50. GPSData.objects.bulk_create(gps_records)
  51. # Create mock data for FuelTransactions
  52. fuel_transaction_data = [
  53. {'vehicle': vehicles[0], 'date': datetime.now() - timedelta(days=1), 'amount': 50, 'price_per_liter': 1.2, 'total_cost': 60, 'fuel_card_number': '1234567890'},
  54. {'vehicle': vehicles[1], 'date': datetime.now() - timedelta(days=2), 'amount': 60, 'price_per_liter': 1.3, 'total_cost': 78, 'fuel_card_number': '0987654321'},
  55. ]
  56. fuel_transactions = [FuelTransaction(**data) for data in fuel_transaction_data]
  57. FuelTransaction.objects.bulk_create(fuel_transactions)
  58. print("Mock data created successfully!")