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

vehicle_database/README.md

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+# Vehicle Database
+
+A comprehensive database system for storing information about vehicle brands, models, years, and engines.
+
+## Overview
+
+This project provides a structured database for vehicle information with the following entities:
+
+- **Brands**: Vehicle manufacturers with details like country of origin and founding year
+- **Models**: Vehicle models with body type, generation, and production years
+- **Years**: Calendar years for vehicle production
+- **Engines**: Engine specifications including displacement, cylinders, power, and fuel type
+- **Model-Year-Engine**: Junction table linking all entities with trim levels and specifications
+
+## Database Schema
+
+The database uses SQLite and consists of the following tables:
+
+### `brands`
+- `id`: Primary key
+- `name`: Brand name (e.g., Toyota, Ford)
+- `country`: Country of origin
+- `founded_year`: Year the company was founded
+
+### `engines`
+- `id`: Primary key
+- `name`: Engine name
+- `displacement_cc`: Engine displacement in cubic centimeters
+- `cylinders`: Number of cylinders
+- `fuel_type`: Type of fuel (gasoline, diesel, electric, hybrid)
+- `power_hp`: Horsepower
+- `torque_nm`: Torque in Newton meters
+- `engine_code`: Manufacturer engine code
+
+### `models`
+- `id`: Primary key
+- `brand_id`: Foreign key to brands table
+- `name`: Model name (e.g., Camry, Civic)
+- `body_type`: Body style (sedan, SUV, truck, etc.)
+- `generation`: Model generation
+- `production_start_year`: Year production started
+- `production_end_year`: Year production ended (NULL if still in production)
+
+### `years`
+- `id`: Primary key
+- `year`: Calendar year
+
+### `model_year_engine`
+- `id`: Primary key
+- `model_id`: Foreign key to models table
+- `year_id`: Foreign key to years table
+- `engine_id`: Foreign key to engines table
+- `trim_level`: Trim level (e.g., base, luxury, sport)
+- `drivetrain`: Drive system (FWD, RWD, AWD, 4WD)
+- `transmission`: Transmission type (manual, automatic, CVT)
+
+## Setup
+
+1. Install Python 3.x if not already installed
+2. Clone or download this repository
+3. Run the database manager script:
+
+```bash
+cd vehicle_database
+python scripts/database_manager.py
+```
+
+This will create the database, populate it with sample data, and run example queries.
+
+## Usage
+
+The `VehicleDatabaseManager` class provides methods to:
+
+- Create and manage the database schema
+- Insert new brands, models, engines, and years
+- Query vehicle information
+- Link models, years, and engines with trim levels and specifications
+
+## Sample Queries
+
+The script demonstrates several query patterns:
+
+- Get all brands
+- Get models for a specific brand
+- Search for specific vehicles by brand, model, year, or engine
+- Retrieve comprehensive vehicle information
+
+## Extending the Database
+
+To add more data, you can:
+
+1. Use the provided Python API
+2. Directly execute SQL commands on the SQLite database
+3. Import data from CSV files using the provided structure
+
+## File Structure
+
+```
+vehicle_database/
+├── sql/
+│   └── schema.sql          # Database schema
+├── scripts/
+│   └── database_manager.py # Python database manager
+├── data/                   # Directory for data files
+└── README.md              # This file
+```