consultoria-as
f395d67136
- Base de datos SQLite con información de vehículos - Dashboard web con Flask y Bootstrap - Scripts de web scraping para RockAuto - Interfaz CLI para consultas - Documentación completa del proyecto Incluye: - 12 marcas de vehículos - 10,923 modelos - 10,919 especificaciones de motores - 12,075 combinaciones modelo-año-motor
95 lines
3.4 KiB
Python
95 lines
3.4 KiB
Python
#!/usr/bin/env python3
|
|
"""
|
|
RockAuto Data Integration Demo
|
|
Shows how to integrate manually extracted RockAuto data into the vehicle database
|
|
"""
|
|
|
|
from vehicle_scraper.manual_input_simple import ManualDataInput
|
|
import sqlite3
|
|
|
|
|
|
def demonstrate_integration():
|
|
"""Demonstrate the integration of RockAuto data into the database"""
|
|
print("RockAuto Data Integration Demo")
|
|
print("==============================")
|
|
|
|
# Create input tool with correct database path
|
|
input_tool = ManualDataInput(db_path="vehicle_database/vehicle_database.db")
|
|
|
|
# Example of data you might extract from RockAuto manually
|
|
print("\nExample: Adding data that could be extracted from RockAuto")
|
|
|
|
# Add some example vehicles that might be found on RockAuto
|
|
rockauto_vehicles = [
|
|
{"make": "Toyota", "model": "RAV4", "year": 2019, "engine": "2.5L 4-Cylinder"},
|
|
{"make": "Honda", "model": "CR-V", "year": 2020, "engine": "1.5L Turbo"},
|
|
{"make": "Ford", "model": "Escape", "year": 2021, "engine": "2.0L Turbo"},
|
|
{"make": "Nissan", "model": "Rogue", "year": 2018, "engine": "2.5L 4-Cylinder"},
|
|
{"make": "Chevrolet", "model": "Equinox", "year": 2020, "engine": "1.5L Turbo"},
|
|
]
|
|
|
|
print(f"\nAdding {len(rockauto_vehicles)} vehicles to database:")
|
|
for vehicle in rockauto_vehicles:
|
|
print(f" - {vehicle['year']} {vehicle['make']} {vehicle['model']} ({vehicle['engine']})")
|
|
|
|
input_tool.add_multiple_vehicles(rockauto_vehicles)
|
|
|
|
# Show the data in the database
|
|
print("\nCurrent data in database:")
|
|
conn = sqlite3.connect("vehicle_database/vehicle_database.db")
|
|
cursor = conn.cursor()
|
|
|
|
cursor.execute('''
|
|
SELECT b.name as brand, m.name as model, y.year, e.name as engine
|
|
FROM model_year_engine mye
|
|
JOIN models m ON mye.model_id = m.id
|
|
JOIN brands b ON m.brand_id = b.id
|
|
JOIN years y ON mye.year_id = y.id
|
|
JOIN engines e ON mye.engine_id = e.id
|
|
ORDER BY b.name, m.name, y.year
|
|
LIMIT 15
|
|
''')
|
|
|
|
results = cursor.fetchall()
|
|
for i, (brand, model, year, engine) in enumerate(results, 1):
|
|
print(f" {i:2d}. {year} {brand} {model} - {engine}")
|
|
|
|
if len(results) == 15:
|
|
print(" ... (showing first 15 results)")
|
|
|
|
conn.close()
|
|
|
|
print(f"\nDatabase contains {len(results)} vehicle entries")
|
|
|
|
# Show how to query specific data
|
|
print("\nExample queries you can perform:")
|
|
print("1. Find all Toyota models:")
|
|
print(" In query interface: Search brand='Toyota'")
|
|
|
|
print("2. Find all 2020 model year vehicles:")
|
|
print(" In query interface: Search year=2020")
|
|
|
|
print("3. Find all vehicles with 'Turbo' engines:")
|
|
print(" In query interface: Search engine='Turbo'")
|
|
|
|
print("\nTo continue adding RockAuto data:")
|
|
print("1. Visit https://www.rockauto.com/catalog/")
|
|
print("2. Browse manufacturers and note models/years/engines")
|
|
print("3. Use ManualDataInput to add to your database")
|
|
|
|
|
|
def main():
|
|
demonstrate_integration()
|
|
|
|
print("\n" + "="*50)
|
|
print("INTEGRATION DEMO COMPLETE")
|
|
print("="*50)
|
|
print("\nNext steps:")
|
|
print("1. Manually browse RockAuto.com for vehicle data")
|
|
print("2. Use the ManualDataInput class to add data")
|
|
print("3. Query your database using the query interface")
|
|
print("4. Build your comprehensive vehicle database")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main() |