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

DASHBOARD_GUIDE.md

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+# Vehicle Database Dashboard - Complete Solution
+
+## Overview
+
+I have created a complete web-based dashboard for searching and filtering your vehicle database with the following components:
+
+1. **Web Dashboard Interface** - A responsive, modern UI built with HTML, CSS, and JavaScript
+2. **Flask Backend** - API server that connects to your SQLite database
+3. **Filtering System** - Search by brand, model, year, and engine
+4. **Data Visualization** - Display vehicle details in an attractive card layout
+
+## Features
+
+- **Four-way Filtering**: Filter vehicles by brand, model, year, and engine type
+- **Responsive Design**: Works on desktop, tablet, and mobile devices
+- **Real-time Updates**: Filters update immediately when selections change
+- **Detailed Information**: Shows power, displacement, cylinders, fuel type, trim, drivetrain, and transmission
+- **Modern UI**: Bootstrap-based interface with cards, badges, and icons
+
+## Architecture
+
+### Frontend
+- `index.html`: Main dashboard page with Bootstrap styling
+- `dashboard.js`: JavaScript for UI interactions and API calls
+
+### Backend
+- `server.py`: Flask application serving the dashboard and API
+- API endpoints for brands, models, years, engines, and vehicles
+
+## How to Use
+
+### Starting the Dashboard
+1. Navigate to the dashboard directory:
+   ```bash
+   cd /home/Autopartes/dashboard
+   ```
+
+2. Start the server:
+   ```bash
+   python3 server.py
+   ```
+
+3. Open your web browser and go to: `http://localhost:5000`
+
+### Using the Dashboard
+1. On the left panel, use the dropdowns to select filters:
+   - Brand: Select a vehicle manufacturer
+   - Model: Select a model (updates based on selected brand)
+   - Year: Select a production year
+   - Engine: Select an engine type
+
+2. Click "Search Vehicles" to apply filters
+
+3. Results appear in the right panel with detailed information
+
+4. Use "Reset Filters" to clear all selections
+
+## API Endpoints
+
+The dashboard uses these API endpoints:
+- `GET /api/brands` - Get all vehicle brands
+- `GET /api/models?brand=[brand]` - Get models for a specific brand
+- `GET /api/years` - Get all years
+- `GET /api/engines` - Get all engines
+- `GET /api/vehicles?[filters]` - Search vehicles with optional filters
+
+## Files Created
+
+```
+dashboard/
+├── index.html              # Main dashboard page
+├── dashboard.js           # Frontend JavaScript
+├── server.py              # Flask backend
+├── requirements.txt       # Python dependencies
+├── start_dashboard.sh     # Startup script
+├── README.md             # Documentation
+└── static/               # Static files directory (created by Flask)
+```
+
+## Customization
+
+You can customize the dashboard by:
+- Modifying the CSS styles in index.html
+- Adding more filters in the JavaScript
+- Changing the layout in index.html
+- Adding more vehicle details in the display
+
+## Troubleshooting
+
+- If the server won't start, ensure Flask is installed: `sudo apt-get install python3-flask`
+- If filters don't populate, check that your vehicle database has data
+- If the page doesn't load, verify that the database file exists at `../vehicle_database/vehicle_database.db`
+- Check the browser console for JavaScript errors
+- Check the terminal for server errors
+
+## Next Steps
+
+1. Start the dashboard server
+2. Browse your vehicle data using the intuitive interface
+3. Add more data to your database using the manual input tools
+4. Customize the dashboard to meet your specific needs
+
+The dashboard is now ready to use and provides a powerful interface for exploring your vehicle database!