Files
Autoparts-DB/add_historical_data.py
consultoria-as f395d67136 Initial commit: Sistema Autoparts DB
- 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
2026-01-19 08:45:03 +00:00

255 lines
10 KiB
Python

#!/usr/bin/env python3
"""
Script para agregar datos históricos de varias marcas a la base de datos de vehículos
"""
import sqlite3
import os
def add_historical_data():
# Verificar que la base de datos exista
db_path = "vehicle_database/vehicle_database.db"
if not os.path.exists(db_path):
print(f"Error: Base de datos no encontrada en {db_path}")
return
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
print("Agregando datos históricos de varias marcas a la base de datos...")
try:
# Insertar marcas
brands = ['CONTINENTAL', 'CORD', 'COLE', 'CLEVELAND', 'CISITALIA', 'CHIREY']
for brand in brands:
cursor.execute("INSERT OR IGNORE INTO brands (name) VALUES (?)", (brand,))
print(f"Agregadas {len(brands)} marcas históricas")
# Insertar modelos por marca
# CONTINENTAL
continental_models = ['BEACON', 'ACE', 'FLYER']
for model in continental_models:
cursor.execute("SELECT id FROM brands WHERE name = ?", ("CONTINENTAL",))
brand_id = cursor.fetchone()[0]
cursor.execute(
"INSERT OR IGNORE INTO models (brand_id, name) VALUES (?, ?)",
(brand_id, model)
)
# CORD
cord_models = ['L-29', '810', '812']
for model in cord_models:
cursor.execute("SELECT id FROM brands WHERE name = ?", ("CORD",))
brand_id = cursor.fetchone()[0]
cursor.execute(
"INSERT OR IGNORE INTO models (brand_id, name) VALUES (?, ?)",
(brand_id, model)
)
# COLE
cole_models = ['SERIES 890', 'AERO EIGHT', 'SERIES 870', '8-50', '4-40', '6-50', '6-60',
'FOUR', 'SIX', 'FIFTY', 'FORTY', 'SIXTY', 'MODEL 30']
for model in cole_models:
cursor.execute("SELECT id FROM brands WHERE name = ?", ("COLE",))
brand_id = cursor.fetchone()[0]
cursor.execute(
"INSERT OR IGNORE INTO models (brand_id, name) VALUES (?, ?)",
(brand_id, model)
)
# CLEVELAND
cleveland_models = ['MODEL 31', 'MODEL 43', 'MODEL 42', 'MODEL 41', 'MODEL 40']
for model in cleveland_models:
cursor.execute("SELECT id FROM brands WHERE name = ?", ("CLEVELAND",))
brand_id = cursor.fetchone()[0]
cursor.execute(
"INSERT OR IGNORE INTO models (brand_id, name) VALUES (?, ?)",
(brand_id, model)
)
# CISITALIA
cisitalia_models = ['202']
for model in cisitalia_models:
cursor.execute("SELECT id FROM brands WHERE name = ?", ("CISITALIA",))
brand_id = cursor.fetchone()[0]
cursor.execute(
"INSERT OR IGNORE INTO models (brand_id, name) VALUES (?, ?)",
(brand_id, model)
)
# CHIREY
chirey_models = ['ARRIZO 8', 'TIGGO 4PRO', 'TIGGO 7PRO', 'TIGGO 8PRO', 'OMODA 5']
for model in chirey_models:
cursor.execute("SELECT id FROM brands WHERE name = ?", ("CHIREY",))
brand_id = cursor.fetchone()[0]
cursor.execute(
"INSERT OR IGNORE INTO models (brand_id, name) VALUES (?, ?)",
(brand_id, model)
)
print("Agregados modelos para todas las marcas")
# Datos históricos de años y motores para cada marca
historical_data = [
# CONTINENTAL
('CONTINENTAL', 'BEACON', 1934, '4cyl'),
('CONTINENTAL', 'ACE', 1933, '6cyl'),
('CONTINENTAL', 'BEACON', 1933, '4cyl'),
('CONTINENTAL', 'FLYER', 1933, '6cyl'),
# CORD
('CORD', 'L-29', 1933, '4.7L 289cid V8'),
('CORD', '812', 1936, '4.7L 289cid V8'),
('CORD', '810', 1936, '4.7L 289cid V8'),
('CORD', '812', 1936, '8cyl'),
('CORD', 'L-29', 1932, '4.9L 298cid L8'),
('CORD', 'L-29', 1931, '4.9L 298cid L8'),
('CORD', 'L-29', 1930, '4.9L 298cid L8'),
('CORD', 'L-29', 1929, '8cyl'),
# COLE
('COLE', 'SERIES 890', 1925, '8cyl'),
('COLE', 'SERIES 890', 1924, '8cyl'),
('COLE', 'SERIES 890', 1923, '8cyl'),
('COLE', 'AERO EIGHT', 1922, '8cyl'),
('COLE', 'AERO EIGHT', 1921, '8cyl'),
('COLE', 'AERO EIGHT', 1920, '8cyl'),
('COLE', 'SERIES 870', 1919, '8cyl'),
('COLE', 'SERIES 870', 1918, '8cyl'),
('COLE', '8-50', 1916, '8cyl'),
('COLE', '4-40', 1915, '4cyl'),
('COLE', '6-50', 1915, '6cyl'),
('COLE', '6-60', 1915, '6cyl'),
('COLE', 'FOUR', 1914, '4cyl'),
('COLE', 'SIX', 1914, '6cyl'),
('COLE', 'FIFTY', 1913, '4cyl'),
('COLE', 'FORTY', 1913, '4cyl'),
('COLE', 'SIXTY', 1913, '6cyl'),
('COLE', 'FORTY', 1912, '4cyl'),
('COLE', 'MODEL 30', 1911, '4cyl'),
('COLE', 'MODEL 30', 1910, '4cyl'),
# CLEVELAND
('CLEVELAND', 'MODEL 31', 1926, '6cyl'),
('CLEVELAND', 'MODEL 43', 1926, '6cyl'),
('CLEVELAND', 'MODEL 31', 1925, '6cyl'),
('CLEVELAND', 'MODEL 43', 1925, '6cyl'),
('CLEVELAND', 'MODEL 42', 1924, '6cyl'),
('CLEVELAND', 'MODEL 42', 1923, '6cyl'),
('CLEVELAND', 'MODEL 41', 1922, '6cyl'),
('CLEVELAND', 'MODEL 41', 1921, '6cyl'),
('CLEVELAND', 'MODEL 40', 1920, '6cyl'),
('CLEVELAND', 'MODEL 40', 1919, '6cyl'),
# CISITALIA
('CISITALIA', '202', 1952, '1.1L L4'),
('CISITALIA', '202', 1951, '1.1L L4'),
('CISITALIA', '202', 1950, '1.1L L4'),
('CISITALIA', '202', 1949, '1.1L 66cid L4'),
('CISITALIA', '202', 1948, '1.1L 66cid L4'),
('CISITALIA', '202', 1947, '1.1L 66cid L4'),
# CHIREY
('CHIREY', 'ARRIZO 8', 2025, '1.6L L4 Turbocharged'),
('CHIREY', 'TIGGO 4PRO', 2025, '1.5L L4 Turbocharged'),
('CHIREY', 'TIGGO 7PRO', 2025, '1.5L L4 Turbocharged'),
('CHIREY', 'TIGGO 8PRO', 2025, '1.6L L4 Turbocharged'),
('CHIREY', 'ARRIZO 8', 2024, '1.6L L4 Turbocharged'),
('CHIREY', 'TIGGO 4PRO', 2024, '1.5L L4 Turbocharged'),
('CHIREY', 'TIGGO 7PRO', 2024, '1.5L L4 ELECTRIC/GAS Turbocharged'),
('CHIREY', 'TIGGO 7PRO', 2024, '1.5L L4 Turbocharged'),
('CHIREY', 'TIGGO 8PRO', 2024, '1.6L L4 Turbocharged'),
('CHIREY', 'TIGGO 8PRO', 2024, '1.5L L4 ELECTRIC/GAS Turbocharged'),
('CHIREY', 'TIGGO 8PRO', 2024, '2.0L L4 Turbocharged'),
('CHIREY', 'OMODA 5', 2023, '1.5L L4'),
('CHIREY', 'TIGGO 4PRO', 2023, '1.5L L4'),
('CHIREY', 'TIGGO 7PRO', 2023, '1.5L L4'),
('CHIREY', 'TIGGO 8PRO', 2023, '1.5L L4 ELECTRIC/GAS Turbocharged'),
('CHIREY', 'TIGGO 8PRO', 2023, '1.6L L4 Turbocharged'),
('CHIREY', 'TIGGO 8PRO', 2023, '2.0L L4 Turbocharged')
]
# Insertar años
years = list(set([data[2] for data in historical_data])) # Obtener años únicos
for year in years:
cursor.execute("INSERT OR IGNORE INTO years (year) VALUES (?)", (year,))
print(f"Agregados {len(years)} años históricos")
# Insertar motores
engines = list(set([data[3] for data in historical_data])) # Obtener motores únicos
for engine in engines:
cursor.execute("INSERT OR IGNORE INTO engines (name) VALUES (?)", (engine,))
print(f"Agregados {len(engines)} motores históricos")
# Crear combinaciones modelo-año-motor
for brand_name, model_name, year, engine_name in historical_data:
# Obtener IDs
cursor.execute("SELECT id FROM brands WHERE name = ?", (brand_name,))
brand_result = cursor.fetchone()
if brand_result:
brand_id = brand_result[0]
else:
print(f"Advertencia: Marca {brand_name} no encontrada")
continue
cursor.execute("SELECT id FROM models WHERE brand_id = ? AND name = ?", (brand_id, model_name))
model_result = cursor.fetchone()
if model_result:
model_id = model_result[0]
else:
print(f"Advertencia: Modelo {model_name} no encontrado para la marca {brand_name}")
continue
cursor.execute("SELECT id FROM years WHERE year = ?", (year,))
year_result = cursor.fetchone()
if year_result:
year_id = year_result[0]
else:
print(f"Advertencia: Año {year} no encontrado")
continue
cursor.execute("SELECT id FROM engines WHERE name = ?", (engine_name,))
engine_result = cursor.fetchone()
if engine_result:
engine_id = engine_result[0]
else:
print(f"Advertencia: Motor {engine_name} no encontrado")
continue
# Insertar la combinación modelo-año-motor
cursor.execute(
"""INSERT OR REPLACE INTO model_year_engine
(model_id, year_id, engine_id) VALUES (?, ?, ?)""",
(model_id, year_id, engine_id)
)
conn.commit()
print(f"Se agregaron {len(historical_data)} combinaciones modelo-año-motor históricas")
print("Datos históricos agregados exitosamente a la base de datos!")
# Mostrar algunos resultados
print("\nAlgunos vehículos históricos agregados:")
cursor.execute("""
SELECT b.name, m.name, y.year, e.name
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 y.year DESC
LIMIT 20
""")
results = cursor.fetchall()
for brand, model, year, engine in results:
print(f" {year} {brand} {model} - {engine}")
except Exception as e:
print(f"Error al agregar datos históricos: {e}")
conn.rollback()
finally:
conn.close()
if __name__ == "__main__":
add_historical_data()