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

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
+```

vehicle_database/data/brands.csv

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+name,country,founded_year
+Mercedes-Benz,Germany,1926
+Audi,Germany,1909
+Nissan,Japan,1933
+Chevrolet,USA,1911
+Volkswagen,Germany,1937

vehicle_database/data/engines.csv

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+name,displacement_cc,cylinders,fuel_type,power_hp,torque_nm,engine_code
+VQ35DE,3500,6,gasoline,280,260,VQ35DE
+LS3,6200,8,gasoline,430,424,LS3
+EA888,2000,4,gasoline,228,258,EA888
+M274,2000,4,gasoline,241,273,M274

vehicle_database/data/models.csv

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+brand_name,name,body_type,generation,production_start_year,production_end_year
+Toyota,Corolla,sedan,E210,2018,
+Honda,Accord,sedan,X,2018,
+Ford,F-150,truck,13th Gen,2015,
+BMW,3 Series,sedan,G20,2018,

vehicle_database/scripts/csv_importer.py

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+#!/usr/bin/env python3
+"""
+CSV Import Script for Vehicle Database
+This script allows importing vehicle data from CSV files
+"""
+
+import csv
+import sqlite3
+import os
+from typing import Dict, List
+
+
+class CSVImporter:
+    def __init__(self, db_path: str = "vehicle_database.db"):
+        self.db_path = db_path
+    
+    def import_brands_from_csv(self, csv_file: str):
+        """Import brands from a CSV file"""
+        conn = sqlite3.connect(self.db_path)
+        cursor = conn.cursor()
+        
+        with open(csv_file, 'r', newline='', encoding='utf-8') as file:
+            reader = csv.DictReader(file)
+            for row in reader:
+                cursor.execute(
+                    "INSERT OR IGNORE INTO brands (name, country, founded_year) VALUES (?, ?, ?)",
+                    (row['name'], row.get('country'), row.get('founded_year'))
+                )
+        
+        conn.commit()
+        conn.close()
+        print(f"Imported brands from {csv_file}")
+    
+    def import_engines_from_csv(self, csv_file: str):
+        """Import engines from a CSV file"""
+        conn = sqlite3.connect(self.db_path)
+        cursor = conn.cursor()
+        
+        with open(csv_file, 'r', newline='', encoding='utf-8') as file:
+            reader = csv.DictReader(file)
+            for row in reader:
+                cursor.execute(
+                    """INSERT OR IGNORE INTO engines 
+                       (name, displacement_cc, cylinders, fuel_type, power_hp, torque_nm, engine_code) 
+                       VALUES (?, ?, ?, ?, ?, ?, ?)""",
+                    (
+                        row['name'], 
+                        row.get('displacement_cc'), 
+                        row.get('cylinders'), 
+                        row.get('fuel_type'), 
+                        row.get('power_hp'), 
+                        row.get('torque_nm'), 
+                        row.get('engine_code')
+                    )
+                )
+        
+        conn.commit()
+        conn.close()
+        print(f"Imported engines from {csv_file}")
+    
+    def import_models_from_csv(self, csv_file: str):
+        """Import models from a CSV file"""
+        conn = sqlite3.connect(self.db_path)
+        cursor = conn.cursor()
+        
+        with open(csv_file, 'r', newline='', encoding='utf-8') as file:
+            reader = csv.DictReader(file)
+            
+            # First, create a mapping of brand names to IDs
+            cursor.execute("SELECT id, name FROM brands")
+            brand_map = {row[1]: row[0] for row in cursor.fetchall()}
+            
+            for row in reader:
+                brand_id = brand_map.get(row['brand_name'])
+                if brand_id is None:
+                    print(f"Warning: Brand '{row['brand_name']}' not found in database")
+                    continue
+                
+                cursor.execute(
+                    """INSERT OR IGNORE INTO models 
+                       (brand_id, name, body_type, generation, production_start_year, production_end_year) 
+                       VALUES (?, ?, ?, ?, ?, ?)""",
+                    (
+                        brand_id,
+                        row['name'], 
+                        row.get('body_type'), 
+                        row.get('generation'), 
+                        row.get('production_start_year'), 
+                        row.get('production_end_year')
+                    )
+                )
+        
+        conn.commit()
+        conn.close()
+        print(f"Imported models from {csv_file}")
+    
+    def create_sample_csv_files(self):
+        """Create sample CSV files with example data"""
+        os.makedirs("data", exist_ok=True)
+        
+        # Sample brands CSV
+        with open("data/brands.csv", "w", newline="", encoding="utf-8") as csvfile:
+            fieldnames = ["name", "country", "founded_year"]
+            writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
+            writer.writeheader()
+            writer.writerows([
+                {"name": "Mercedes-Benz", "country": "Germany", "founded_year": 1926},
+                {"name": "Audi", "country": "Germany", "founded_year": 1909},
+                {"name": "Nissan", "country": "Japan", "founded_year": 1933},
+                {"name": "Chevrolet", "country": "USA", "founded_year": 1911},
+                {"name": "Volkswagen", "country": "Germany", "founded_year": 1937}
+            ])
+        
+        # Sample engines CSV
+        with open("data/engines.csv", "w", newline="", encoding="utf-8") as csvfile:
+            fieldnames = ["name", "displacement_cc", "cylinders", "fuel_type", "power_hp", "torque_nm", "engine_code"]
+            writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
+            writer.writeheader()
+            writer.writerows([
+                {"name": "VQ35DE", "displacement_cc": 3500, "cylinders": 6, "fuel_type": "gasoline", "power_hp": 280, "torque_nm": 260, "engine_code": "VQ35DE"},
+                {"name": "LS3", "displacement_cc": 6200, "cylinders": 8, "fuel_type": "gasoline", "power_hp": 430, "torque_nm": 424, "engine_code": "LS3"},
+                {"name": "EA888", "displacement_cc": 2000, "cylinders": 4, "fuel_type": "gasoline", "power_hp": 228, "torque_nm": 258, "engine_code": "EA888"},
+                {"name": "M274", "displacement_cc": 2000, "cylinders": 4, "fuel_type": "gasoline", "power_hp": 241, "torque_nm": 273, "engine_code": "M274"}
+            ])
+        
+        # Sample models CSV
+        with open("data/models.csv", "w", newline="", encoding="utf-8") as csvfile:
+            fieldnames = ["brand_name", "name", "body_type", "generation", "production_start_year", "production_end_year"]
+            writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
+            writer.writeheader()
+            writer.writerows([
+                {"brand_name": "Toyota", "name": "Corolla", "body_type": "sedan", "generation": "E210", "production_start_year": 2018, "production_end_year": None},
+                {"brand_name": "Honda", "name": "Accord", "body_type": "sedan", "generation": "X", "production_start_year": 2018, "production_end_year": None},
+                {"brand_name": "Ford", "name": "F-150", "body_type": "truck", "generation": "13th Gen", "production_start_year": 2015, "production_end_year": None},
+                {"brand_name": "BMW", "name": "3 Series", "body_type": "sedan", "generation": "G20", "production_start_year": 2018, "production_end_year": None}
+            ])
+        
+        print("Sample CSV files created in data/ directory")
+
+
+def main():
+    importer = CSVImporter()
+    
+    # Create sample CSV files
+    importer.create_sample_csv_files()
+    
+    # Import sample data (these would be imported by the main script, but showing the functionality)
+    print("CSV import functionality created. Sample CSV files are in the data/ directory.")
+
+
+if __name__ == "__main__":
+    main()

vehicle_database/scripts/database_manager.py

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+#!/usr/bin/env python3
+"""
+Vehicle Database Manager
+A script to initialize and manage the vehicle database with brands, years, models, and engines
+"""
+
+import sqlite3
+import os
+from datetime import datetime
+from typing import List, Tuple
+
+
+class VehicleDatabaseManager:
+    def __init__(self, db_path: str = "vehicle_database.db"):
+        self.db_path = db_path
+        self.connection = None
+    
+    def connect(self):
+        """Connect to the SQLite database"""
+        self.connection = sqlite3.connect(self.db_path)
+        self.connection.row_factory = sqlite3.Row  # Enable column access by name
+        print(f"Connected to database: {self.db_path}")
+    
+    def disconnect(self):
+        """Close the database connection"""
+        if self.connection:
+            self.connection.close()
+            print("Disconnected from database")
+    
+    def create_tables(self, schema_file: str = "sql/schema.sql"):
+        """Create tables from schema file"""
+        if not os.path.exists(schema_file):
+            raise FileNotFoundError(f"Schema file not found: {schema_file}")
+        
+        with open(schema_file, 'r') as f:
+            schema = f.read()
+        
+        if self.connection:
+            cursor = self.connection.cursor()
+            cursor.executescript(schema)
+            self.connection.commit()
+            print("Tables created successfully")
+    
+    def insert_brand(self, name: str, country: str = None, founded_year: int = None) -> int:
+        """Insert a new brand and return its ID"""
+        cursor = self.connection.cursor()
+        cursor.execute(
+            "INSERT OR IGNORE INTO brands (name, country, founded_year) VALUES (?, ?, ?)",
+            (name, country, founded_year)
+        )
+        self.connection.commit()
+        # Return the ID of the inserted or existing brand
+        cursor.execute("SELECT id FROM brands WHERE name = ?", (name,))
+        return cursor.fetchone()[0]
+    
+    def insert_engine(self, name: str, displacement_cc: float = None, cylinders: int = None, 
+                      fuel_type: str = None, power_hp: int = None, torque_nm: int = None, 
+                      engine_code: str = None) -> int:
+        """Insert a new engine and return its ID"""
+        cursor = self.connection.cursor()
+        cursor.execute(
+            """INSERT OR IGNORE INTO engines 
+               (name, displacement_cc, cylinders, fuel_type, power_hp, torque_nm, engine_code) 
+               VALUES (?, ?, ?, ?, ?, ?, ?)""",
+            (name, displacement_cc, cylinders, fuel_type, power_hp, torque_nm, engine_code)
+        )
+        self.connection.commit()
+        # Return the ID of the inserted or existing engine
+        cursor.execute("SELECT id FROM engines WHERE name = ?", (name,))
+        return cursor.fetchone()[0]
+    
+    def insert_model(self, brand_id: int, name: str, body_type: str = None, 
+                     generation: str = None, production_start_year: int = None, 
+                     production_end_year: int = None) -> int:
+        """Insert a new model and return its ID"""
+        cursor = self.connection.cursor()
+        cursor.execute(
+            """INSERT OR IGNORE INTO models 
+               (brand_id, name, body_type, generation, production_start_year, production_end_year) 
+               VALUES (?, ?, ?, ?, ?, ?)""",
+            (brand_id, name, body_type, generation, production_start_year, production_end_year)
+        )
+        self.connection.commit()
+        # Return the ID of the inserted or existing model
+        cursor.execute("SELECT id FROM models WHERE brand_id = ? AND name = ?", (brand_id, name))
+        return cursor.fetchone()[0]
+    
+    def insert_year(self, year: int) -> int:
+        """Insert a new year and return its ID"""
+        cursor = self.connection.cursor()
+        cursor.execute("INSERT OR IGNORE INTO years (year) VALUES (?)", (year,))
+        self.connection.commit()
+        # Return the ID of the inserted or existing year
+        cursor.execute("SELECT id FROM years WHERE year = ?", (year,))
+        return cursor.fetchone()[0]
+    
+    def insert_model_year_engine(self, model_id: int, year_id: int, engine_id: int, 
+                                 trim_level: str = None, drivetrain: str = None, 
+                                 transmission: str = None):
+        """Insert a model-year-engine combination"""
+        cursor = self.connection.cursor()
+        cursor.execute(
+            """INSERT OR REPLACE INTO model_year_engine 
+               (model_id, year_id, engine_id, trim_level, drivetrain, transmission) 
+               VALUES (?, ?, ?, ?, ?, ?)""",
+            (model_id, year_id, engine_id, trim_level, drivetrain, transmission)
+        )
+        self.connection.commit()
+    
+    def get_brands(self) -> List[Tuple]:
+        """Retrieve all brands"""
+        cursor = self.connection.cursor()
+        cursor.execute("SELECT * FROM brands ORDER BY name")
+        return cursor.fetchall()
+    
+    def get_models_by_brand(self, brand_id: int) -> List[Tuple]:
+        """Retrieve all models for a specific brand"""
+        cursor = self.connection.cursor()
+        cursor.execute("""
+            SELECT m.*, b.name as brand_name 
+            FROM models m 
+            JOIN brands b ON m.brand_id = b.id 
+            WHERE m.brand_id = ?
+            ORDER BY m.name
+        """, (brand_id,))
+        return cursor.fetchall()
+    
+    def get_vehicle_info(self, brand_name: str = None, model_name: str = None, 
+                         year: int = None, engine_name: str = None) -> List[Tuple]:
+        """Get comprehensive vehicle information based on filters"""
+        query = """
+            SELECT 
+                b.name AS brand,
+                m.name AS model,
+                y.year,
+                e.name AS engine,
+                e.displacement_cc,
+                e.cylinders,
+                e.fuel_type,
+                e.power_hp,
+                e.torque_nm,
+                e.engine_code,
+                mye.trim_level,
+                mye.drivetrain,
+                mye.transmission
+            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
+            WHERE 1=1
+        """
+        
+        params = []
+        if brand_name:
+            query += " AND b.name LIKE ?"
+            params.append(f"%{brand_name}%")
+        if model_name:
+            query += " AND m.name LIKE ?"
+            params.append(f"%{model_name}%")
+        if year:
+            query += " AND y.year = ?"
+            params.append(year)
+        if engine_name:
+            query += " AND e.name LIKE ?"
+            params.append(f"%{engine_name}%")
+        
+        query += " ORDER BY b.name, m.name, y.year"
+        
+        cursor = self.connection.cursor()
+        cursor.execute(query, params)
+        return cursor.fetchall()
+
+
+def populate_sample_data(db_manager: VehicleDatabaseManager):
+    """Populate the database with sample data"""
+    print("Populating sample data...")
+    
+    # Insert sample brands
+    toyota_id = db_manager.insert_brand("Toyota", "Japan", 1937)
+    honda_id = db_manager.insert_brand("Honda", "Japan", 1948)
+    ford_id = db_manager.insert_brand("Ford", "USA", 1903)
+    bmw_id = db_manager.insert_brand("BMW", "Germany", 1916)
+    
+    # Insert sample engines
+    engine_2jz = db_manager.insert_engine(
+        "2JZ-GTE", 
+        displacement_cc=3000, 
+        cylinders=6, 
+        fuel_type="gasoline", 
+        power_hp=320, 
+        torque_nm=450, 
+        engine_code="2JZ-GTE"
+    )
+    
+    engine_k20 = db_manager.insert_engine(
+        "K20C1", 
+        displacement_cc=2000, 
+        cylinders=4, 
+        fuel_type="gasoline", 
+        power_hp=280, 
+        torque_nm=260, 
+        engine_code="K20C1"
+    )
+    
+    engine_ecoboost = db_manager.insert_engine(
+        "EcoBoost V6", 
+        displacement_cc=3500, 
+        cylinders=6, 
+        fuel_type="gasoline", 
+        power_hp=375, 
+        torque_nm=470, 
+        engine_code="EcoBoost V6"
+    )
+    
+    engine_n52 = db_manager.insert_engine(
+        "N52B30", 
+        displacement_cc=3000, 
+        cylinders=6, 
+        fuel_type="gasoline", 
+        power_hp=255, 
+        torque_nm=310, 
+        engine_code="N52B30"
+    )
+    
+    # Insert sample models
+    camry_id = db_manager.insert_model(
+        toyota_id, 
+        "Camry", 
+        body_type="sedan", 
+        generation="XV70", 
+        production_start_year=2017, 
+        production_end_year=None
+    )
+    
+    civic_id = db_manager.insert_model(
+        honda_id, 
+        "Civic", 
+        body_type="sedan", 
+        generation="XI", 
+        production_start_year=2016, 
+        production_end_year=None
+    )
+    
+    mustang_id = db_manager.insert_model(
+        ford_id, 
+        "Mustang", 
+        body_type="coupe", 
+        generation="S550", 
+        production_start_year=2015, 
+        production_end_year=None
+    )
+    
+    x3_id = db_manager.insert_model(
+        bmw_id, 
+        "X3", 
+        body_type="suv", 
+        generation="G01", 
+        production_start_year=2017, 
+        production_end_year=None
+    )
+    
+    # Insert years
+    year_2020 = db_manager.insert_year(2020)
+    year_2021 = db_manager.insert_year(2021)
+    year_2022 = db_manager.insert_year(2022)
+    
+    # Link models, years, and engines
+    db_manager.insert_model_year_engine(civic_id, year_2020, engine_k20, "Sport", "FWD", "automatic")
+    db_manager.insert_model_year_engine(mustang_id, year_2020, engine_ecoboost, "GT", "RWD", "automatic")
+    db_manager.insert_model_year_engine(x3_id, year_2021, engine_n52, "xDrive30i", "AWD", "automatic")
+    db_manager.insert_model_year_engine(camry_id, year_2022, engine_k20, "SE", "FWD", "automatic")
+    
+    print("Sample data populated successfully!")
+
+
+def main():
+    # Initialize the database manager
+    db_manager = VehicleDatabaseManager()
+    
+    try:
+        # Connect to database
+        db_manager.connect()
+        
+        # Create tables
+        db_manager.create_tables()
+        
+        # Populate with sample data
+        populate_sample_data(db_manager)
+        
+        # Demonstrate queries
+        print("\n--- All Brands ---")
+        brands = db_manager.get_brands()
+        for brand in brands:
+            print(f"ID: {brand['id']}, Name: {brand['name']}, Country: {brand['country']}")
+        
+        print(f"\n--- Models for Toyota (ID: {brands[0]['id']}) ---")
+        toyota_models = db_manager.get_models_by_brand(brands[0]['id'])
+        for model in toyota_models:
+            print(f"Model: {model['name']}, Body Type: {model['body_type']}")
+        
+        print("\n--- All Vehicle Information ---")
+        all_vehicles = db_manager.get_vehicle_info()
+        for vehicle in all_vehicles:
+            print(f"{vehicle['brand']} {vehicle['model']} {vehicle['year']} - "
+                  f"{vehicle['engine']} ({vehicle['power_hp']} HP)")
+        
+        print("\n--- Search for Honda Civic ---")
+        honda_civic = db_manager.get_vehicle_info(brand_name="Honda", model_name="Civic")
+        for vehicle in honda_civic:
+            print(f"{vehicle['brand']} {vehicle['model']} {vehicle['year']} - "
+                  f"{vehicle['engine']} ({vehicle['power_hp']} HP)")
+    
+    except Exception as e:
+        print(f"An error occurred: {e}")
+    
+    finally:
+        # Close the connection
+        db_manager.disconnect()
+
+
+if __name__ == "__main__":
+    main()

vehicle_database/scripts/query_interface.py

@@ -0,0 +1,193 @@
+#!/usr/bin/env python3
+"""
+Simple Query Interface for Vehicle Database
+Provides a command-line interface for searching the vehicle database
+"""
+
+import sqlite3
+from typing import List, Tuple
+
+
+class VehicleQueryInterface:
+    def __init__(self, db_path: str = "vehicle_database.db"):
+        self.db_path = db_path
+    
+    def search_vehicles(self, brand: str = None, model: str = None, year: int = None, 
+                        engine: str = None, limit: int = 50) -> List[Tuple]:
+        """Search for vehicles based on various criteria"""
+        conn = sqlite3.connect(self.db_path)
+        conn.row_factory = sqlite3.Row  # Enable column access by name
+        cursor = conn.cursor()
+        
+        query = """
+            SELECT 
+                b.name AS brand,
+                m.name AS model,
+                y.year,
+                e.name AS engine,
+                e.displacement_cc,
+                e.cylinders,
+                e.fuel_type,
+                e.power_hp,
+                mye.trim_level,
+                mye.drivetrain,
+                mye.transmission
+            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
+            WHERE 1=1
+        """
+        
+        params = []
+        if brand:
+            query += " AND b.name LIKE ?"
+            params.append(f"%{brand}%")
+        if model:
+            query += " AND m.name LIKE ?"
+            params.append(f"%{model}%")
+        if year:
+            query += " AND y.year = ?"
+            params.append(year)
+        if engine:
+            query += " AND e.name LIKE ?"
+            params.append(f"%{engine}%")
+        
+        query += f" ORDER BY b.name, m.name, y.year LIMIT {limit}"
+        
+        cursor.execute(query, params)
+        results = cursor.fetchall()
+        conn.close()
+        
+        return results
+    
+    def get_all_brands(self) -> List[Tuple]:
+        """Get a list of all brands in the database"""
+        conn = sqlite3.connect(self.db_path)
+        conn.row_factory = sqlite3.Row
+        cursor = conn.cursor()
+        
+        cursor.execute("SELECT DISTINCT name FROM brands ORDER BY name")
+        results = cursor.fetchall()
+        conn.close()
+        
+        return [row[0] for row in results]
+    
+    def get_models_by_brand(self, brand_name: str) -> List[Tuple]:
+        """Get all models for a specific brand"""
+        conn = sqlite3.connect(self.db_path)
+        conn.row_factory = sqlite3.Row
+        cursor = conn.cursor()
+        
+        cursor.execute("""
+            SELECT DISTINCT m.name 
+            FROM models m
+            JOIN brands b ON m.brand_id = b.id
+            WHERE b.name = ?
+            ORDER BY m.name
+        """, (brand_name,))
+        results = cursor.fetchall()
+        conn.close()
+        
+        return [row[0] for row in results]
+    
+    def get_years_for_model(self, model_name: str) -> List[int]:
+        """Get all years for a specific model"""
+        conn = sqlite3.connect(self.db_path)
+        conn.row_factory = sqlite3.Row
+        cursor = conn.cursor()
+        
+        cursor.execute("""
+            SELECT DISTINCT y.year
+            FROM model_year_engine mye
+            JOIN models m ON mye.model_id = m.id
+            JOIN years y ON mye.year_id = y.id
+            WHERE m.name = ?
+            ORDER BY y.year
+        """, (model_name,))
+        results = cursor.fetchall()
+        conn.close()
+        
+        return [row[0] for row in results]
+
+
+def main():
+    interface = VehicleQueryInterface()
+    
+    print("Vehicle Database Query Interface")
+    print("=================================")
+    
+    while True:
+        print("\nOptions:")
+        print("1. Search vehicles")
+        print("2. List all brands")
+        print("3. List models for a brand")
+        print("4. List years for a model")
+        print("5. Exit")
+        
+        choice = input("\nEnter your choice (1-5): ").strip()
+        
+        if choice == "1":
+            print("\nSearch for vehicles:")
+            brand = input("Brand (optional): ").strip() or None
+            model = input("Model (optional): ").strip() or None
+            year_input = input("Year (optional): ").strip()
+            year = int(year_input) if year_input else None
+            engine = input("Engine (optional): ").strip() or None
+            
+            results = interface.search_vehicles(brand=brand, model=model, year=year, engine=engine)
+            
+            if results:
+                print(f"\nFound {len(results)} result(s):")
+                print("-" * 100)
+                for i, vehicle in enumerate(results, 1):
+                    print(f"{i:2d}. {vehicle['year']} {vehicle['brand']} {vehicle['model']}")
+                    print(f"    Engine: {vehicle['engine']} ({vehicle['power_hp']} HP, {vehicle['displacement_cc']} cc)")
+                    print(f"    Trim: {vehicle['trim_level']}, Drivetrain: {vehicle['drivetrain']}, Transmission: {vehicle['transmission']}")
+                    print()
+            else:
+                print("No vehicles found matching your criteria.")
+        
+        elif choice == "2":
+            brands = interface.get_all_brands()
+            print(f"\nAll brands ({len(brands)}):")
+            for i, brand in enumerate(brands, 1):
+                print(f"{i:2d}. {brand}")
+        
+        elif choice == "3":
+            brand = input("Enter brand name: ").strip()
+            if brand:
+                models = interface.get_models_by_brand(brand)
+                if models:
+                    print(f"\nModels for {brand} ({len(models)}):")
+                    for i, model in enumerate(models, 1):
+                        print(f"{i:2d}. {model}")
+                else:
+                    print(f"No models found for brand: {brand}")
+            else:
+                print("Please enter a brand name.")
+        
+        elif choice == "4":
+            model = input("Enter model name: ").strip()
+            if model:
+                years = interface.get_years_for_model(model)
+                if years:
+                    print(f"\nYears for {model} ({len(years)}):")
+                    for i, year in enumerate(years, 1):
+                        print(f"{i:2d}. {year}")
+                else:
+                    print(f"No years found for model: {model}")
+            else:
+                print("Please enter a model name.")
+        
+        elif choice == "5":
+            print("Thank you for using the Vehicle Database Query Interface!")
+            break
+        
+        else:
+            print("Invalid choice. Please enter 1-5.")
+
+
+if __name__ == "__main__":
+    main()

vehicle_database/setup.sh

@@ -0,0 +1,29 @@
+#!/bin/bash
+# Setup script for Vehicle Database
+
+echo "Vehicle Database Setup"
+echo "======================"
+
+# Check if Python3 is available
+if ! command -v python3 &> /dev/null; then
+    echo "Python3 is required but not installed. Please install Python3 first."
+    exit 1
+fi
+
+echo "Python3 is available."
+
+# Check if the database already exists
+if [ -f "vehicle_database.db" ]; then
+    echo "Database already exists."
+else
+    echo "Creating new database with sample data..."
+    python3 scripts/database_manager.py
+fi
+
+echo ""
+echo "Setup complete! Available scripts:"
+echo "1. Query Interface: python3 scripts/query_interface.py"
+echo "2. Database Manager: python3 scripts/database_manager.py"
+echo "3. CSV Importer: python3 scripts/csv_importer.py"
+echo ""
+echo "To start querying the database, run: python3 scripts/query_interface.py"

vehicle_database/sql/schema.sql

@@ -0,0 +1,66 @@
+-- Vehicle Database Schema
+-- Tables for storing vehicle information: brands, years, models, and engines
+
+-- Table for vehicle brands/manufacturers
+CREATE TABLE IF NOT EXISTS brands (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    name TEXT NOT NULL UNIQUE,
+    country TEXT,
+    founded_year INTEGER,
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP
+);
+
+-- Table for engine specifications
+CREATE TABLE IF NOT EXISTS engines (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    name TEXT NOT NULL,
+    displacement_cc REAL,  -- Engine displacement in cubic centimeters
+    cylinders INTEGER,     -- Number of cylinders
+    fuel_type TEXT CHECK(fuel_type IN ('gasoline', 'diesel', 'electric', 'hybrid', 'other')),
+    power_hp INTEGER,      -- Horsepower
+    torque_nm INTEGER,     -- Torque in Newton meters
+    engine_code TEXT,      -- Manufacturer engine code
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP
+);
+
+-- Table for vehicle models
+CREATE TABLE IF NOT EXISTS models (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    brand_id INTEGER NOT NULL,
+    name TEXT NOT NULL,
+    body_type TEXT CHECK(body_type IN ('sedan', 'hatchback', 'suv', 'truck', 'coupe', 'convertible', 'wagon', 'van', 'other')),
+    generation TEXT,       -- Model generation (e.g., MK1, MK2)
+    production_start_year INTEGER,
+    production_end_year INTEGER,
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+    FOREIGN KEY (brand_id) REFERENCES brands(id)
+);
+
+-- Table for years (to link with models)
+CREATE TABLE IF NOT EXISTS years (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    year INTEGER NOT NULL UNIQUE,
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP
+);
+
+-- Junction table to connect models, years, and engines
+CREATE TABLE IF NOT EXISTS model_year_engine (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    model_id INTEGER NOT NULL,
+    year_id INTEGER NOT NULL,
+    engine_id INTEGER NOT NULL,
+    trim_level TEXT,       -- Trim level (e.g., base, luxury, sport)
+    drivetrain TEXT CHECK(drivetrain IN ('FWD', 'RWD', 'AWD', '4WD', 'other')),
+    transmission TEXT CHECK(transmission IN ('manual', 'automatic', 'CVT', 'other')),
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+    FOREIGN KEY (model_id) REFERENCES models(id),
+    FOREIGN KEY (year_id) REFERENCES years(id),
+    FOREIGN KEY (engine_id) REFERENCES engines(id),
+    UNIQUE(model_id, year_id, engine_id, trim_level)  -- Prevent duplicate combinations
+);
+
+-- Indexes for better performance
+CREATE INDEX IF NOT EXISTS idx_models_brand ON models(brand_id);
+CREATE INDEX IF NOT EXISTS idx_model_year_engine_model ON model_year_engine(model_id);
+CREATE INDEX IF NOT EXISTS idx_model_year_engine_year ON model_year_engine(year_id);
+CREATE INDEX IF NOT EXISTS idx_model_year_engine_engine ON model_year_engine(engine_id);