"""
EnhancedKnowledgeBaseSearch
Generated by Eden via recursive self-improvement
2025-11-01 09:36:33.280481
"""

import sqlite3

class EnhancedKnowledgeBaseSearch:
    def __init__(self, db_path):
        """
        Initialize the search capability with a connection to the database.
        
        :param db_path: Path to the SQLite database file containing knowledge base data.
        """
        self.db_path = db_path
        self.connection = sqlite3.connect(self.db_path)
    
    def query_database(self, query_str):
        """
        Execute a SQL query against the database and return results.
        
        :param query_str: The SQL query string to be executed.
        :return: A list of tuples containing the query results.
        """
        cursor = self.connection.cursor()
        try:
            cursor.execute(query_str)
            result = cursor.fetchall()
            return result
        except sqlite3.Error as e:
            print(f"An error occurred: {e}")
            return None
    
    def close_connection(self):
        """
        Close the database connection.
        """
        if self.connection:
            self.connection.close()

# Example usage
if __name__ == "__main__":
    # Initialize with a path to your knowledge base SQLite database file
    search = EnhancedKnowledgeBaseSearch('path/to/knowledge_base.db')
    
    # Query for specific information based on user needs
    query_str = "SELECT * FROM documents WHERE topic LIKE '%artificial intelligence%'"
    results = search.query_database(query_str)
    
    # Print out the retrieved data
    if results:
        print("Retrieved Information:")
        for row in results:
            print(row)
    
    # Close the database connection to free up resources
    search.close_connection()