#!/usr/bin/env python3
"""
Extractor AI Agent for Genome Logic Modeling Project
Responsible for extracting and preprocessing genomic data and logic patterns
"""

import logging
from typing import Dict, List, Optional
import pandas as pd
import numpy as np

class ExtractorAI:
    def __init__(self, config: Optional[Dict] = None):
        """Initialize the Extractor AI agent."""
        self.config = config or {}
        self.logger = logging.getLogger(__name__)
        
    def extract_genomic_data(self, source: str) -> pd.DataFrame:
        """Extract genomic data from various sources."""
        self.logger.info(f"Extracting genomic data from {source}")
        # Implementation here
        pass
        
    def preprocess_data(self, data: pd.DataFrame) -> pd.DataFrame:
        """Preprocess the extracted data."""
        self.logger.info("Preprocessing genomic data")
        # Implementation here
        pass
        
    def validate_data(self, data: pd.DataFrame) -> bool:
        """Validate the extracted and preprocessed data."""
        self.logger.info("Validating genomic data")
        # Implementation here
        pass

if __name__ == "__main__":
    # Set up logging
    logging.basicConfig(level=logging.INFO)
    
    # Initialize and test the agent
    extractor = ExtractorAI()
    # Add test code here