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/GETTING_STARTED.md

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+# Vehicle Database - Getting Started Guide
+
+## Overview
+This project provides a comprehensive database system for storing information about vehicle brands, models, years, and engines. The database is built using SQLite and managed through Python scripts.
+
+## Database Structure
+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
+
+## Setup and Usage
+
+### 1. Initial Setup
+Run the setup script to initialize the database:
+```bash
+cd vehicle_database
+./setup.sh
+```
+
+### 2. Querying the Database
+Use the interactive query interface:
+```bash
+python3 scripts/query_interface.py
+```
+
+The query interface allows you to:
+- Search for vehicles by brand, model, year, or engine
+- Browse all available brands
+- View models for specific brands
+- See production years for specific models
+
+### 3. Managing the Database
+Use the database manager for programmatic access:
+```bash
+python3 scripts/database_manager.py
+```
+
+### 4. Importing Data
+To import data from CSV files:
+1. Prepare your data in the required CSV format
+2. Use the CSV importer functionality in your own scripts
+
+Sample CSV files are provided in the `data/` directory.
+
+## Example Queries
+
+The system supports various search options:
+- Find all vehicles by a specific brand
+- Search for a specific model across all years
+- Filter by engine type or specifications
+- Look up trim levels and drivetrain configurations
+
+## Extending the Database
+
+To add more data:
+1. Use the Python API in `scripts/database_manager.py`
+2. Directly execute SQL commands on the SQLite database
+3. Import data from CSV files using the structure provided
+
+## File Structure
+```
+vehicle_database/
+├── 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
+```
+
+## Next Steps
+1. Explore the database using the query interface
+2. Add your own vehicle data
+3. Customize the schema if needed for your specific requirements
+4. Extend the Python scripts with additional functionality