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

FINAL_SUMMARY.md

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+# Vehicle Database with RockAuto Data Integration
+
+## Project Overview
+
+This project combines two components:
+1. A comprehensive vehicle database system
+2. A data extraction system for RockAuto.com vehicle information
+
+Due to anti-bot measures on RockAuto.com, a manual extraction approach is recommended for collecting vehicle data.
+
+## System Components
+
+### 1. Vehicle Database
+- SQLite database with normalized schema
+- Tables for brands, models, years, engines, and their relationships
+- Python API for managing the database
+- Interactive query interface
+
+### 2. Data Extraction Tools
+- Automated scraper (for sites without anti-bot measures)
+- Manual extraction guide for RockAuto.com
+- Data import functionality
+
+## Database Schema
+
+The database consists of five main tables:
+
+- **brands**: Vehicle manufacturers (Toyota, Ford, etc.)
+- **models**: Vehicle models (Camry, F-150, etc.)
+- **engines**: Engine specifications (2JZ-GTE, EcoBoost, etc.)
+- **years**: Calendar years for vehicle production
+- **model_year_engine**: Junction table linking all entities with trim levels and specifications
+
+## Using the System
+
+### Initial Setup
+```bash
+cd vehicle_database
+./setup.sh
+```
+
+### Querying the Database
+```bash
+python3 scripts/query_interface.py
+```
+
+### Adding More Data Manually
+```python
+from ../vehicle_scraper/manual_input import ManualDataInput
+input_tool = ManualDataInput()
+
+# Add a single vehicle
+input_tool.add_vehicle_data("Toyota", "Corolla", 2021, "1.8L 4-Cylinder")
+
+# Add multiple vehicles
+vehicles = [
+    {"make": "Nissan", "model": "Altima", "year": 2020, "engine": "2.5L 4-Cylinder"},
+    {"make": "Hyundai", "model": "Elantra", "year": 2019, "engine": "2.0L 4-Cylinder"}
+]
+input_tool.add_multiple_vehicles(vehicles)
+```
+
+## Manual Data Extraction from RockAuto.com
+
+Since RockAuto has anti-bot measures, follow this process:
+
+1. Open your web browser and go to: https://www.rockauto.com
+2. Click on the "Catalog" link in the navigation menu
+3. You will see a list of vehicle manufacturers (makes)
+4. For each manufacturer:
+   - Click on the manufacturer name
+   - You'll see a page with vehicle models organized by year
+   - Note down the models and years you see
+5. To find engine information:
+   - Click on a specific model/year combination
+   - You'll see parts categories for that vehicle
+   - Look for "Engine" or "Engine Mechanical" category
+   - Note down the engine type/specifications
+6. Use the ManualDataInput class to add the collected data to your database
+
+## File Structure
+```
+vehicle_database/           # Main database system
+├── sql/
+│   └── schema.sql         # Database schema
+├── scripts/
+│   ├── database_manager.py # Main database manager
+│   ├── query_interface.py  # Interactive query interface
+│   └── csv_importer.py     # CSV import functionality
+├── data/                  # Sample CSV data files
+├── vehicle_database.db    # SQLite database file
+├── setup.sh              # Setup script
+├── README.md             # Project documentation
+└── GETTING_STARTED.md    # Getting started guide
+
+vehicle_scraper/           # Data extraction tools
+├── rockauto_scraper.py    # Automated scraper (for other sites)
+├── rockauto_scraper_enhanced.py # Enhanced scraper
+├── manual_input.py        # Manual input tool
+├── manual_input_simple.py # Simplified manual input
+└── requirements.txt       # Python dependencies
+```
+
+## Extending the Database
+
+To add more vehicle data:
+1. Collect data manually from RockAuto.com using the provided guide
+2. Use the ManualDataInput class to add data to the database
+3. Or prepare CSV files in the required format and use the CSV importer
+
+## Future Enhancements
+
+- Web scraping capabilities for other automotive parts sites
+- Export functionality to share data
+- Advanced search and filtering options
+- Data validation and cleaning tools
+
+## Troubleshooting
+
+If you encounter issues:
+1. Check that Python 3.x is installed
+2. Ensure all required packages are installed (`pip3 install -r requirements.txt`)
+3. Verify database file permissions
+4. Check that the schema matches the expected structure
+
+The system is now ready to use. You can start by exploring the existing data through the query interface and then add more data as needed.