#!/usr/bin/env python3

"""
Quantum-Classical Comparator

This module provides tools for comparing quantum and classical approaches to financial analysis,
enabling visualization and explanation of the quantum advantage.

Author: Quantum-AI Team
"""

import os
import sys
import logging
import json
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from typing import Dict, List, Tuple, Optional, Union, Any
from datetime import datetime

# Add project root to path to ensure imports work correctly
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '../..')))

# Import API components
try:
    # Try relative imports (when imported as a module)
    from ..quantum_financial_api import QuantumFinancialAPI, ComponentType, MarketData
except ImportError:
    # Fall back to absolute imports (when run as a script)
    from api.quantum_financial_api import QuantumFinancialAPI, ComponentType, MarketData

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)

class QuantumClassicalComparator:
    """
    Compares quantum and classical approaches for financial analysis.
    
    This class enables side-by-side comparison of quantum-enhanced and classical
    financial analysis methods, highlighting the advantages of quantum approaches
    and providing explainable insights into the differences.
    """
    
    def __init__(self, quantum_api: QuantumFinancialAPI, classical_api=None):
        """
        Initialize the comparator.
        
        Args:
            quantum_api: The quantum financial API instance
            classical_api: Optional classical API instance. If not provided, will use
                           simplified classical models internally.
        """
        self.quantum_api = quantum_api
        # If no classical API provided, use internal simplified classical models
        self.classical_api = classical_api or self._create_classical_api()
        
        logger.info("Initialized QuantumClassicalComparator")
    
    def _create_classical_api(self):
        """
        Create a simplified classical API for comparison purposes.
        
        Returns:
            A simplified classical API that implements the same interface as QuantumFinancialAPI
            but uses classical methods internally.
        """
        # TODO: Implement simplified classical API
        logger.info("Created simplified classical API for comparison")
        return None
    
    def compare_market_analysis(self, 
                               market_data: MarketData, 
                               components: Optional[List[ComponentType]] = None) -> Dict[str, Any]:
        """
        Analyze market data using both quantum and classical methods.
        
        Args:
            market_data: The market data to analyze
            components: Optional list of components to use for analysis
            
        Returns:
            Dictionary containing comparison results between quantum and classical approaches
        """
        logger.info(f"Comparing market analysis for {market_data.asset_id} using {components if components else 'all components'}")
        
        # Run quantum analysis
        quantum_results = self.quantum_api.analyze_market_data(market_data, components)
        
        # Run classical analysis
        classical_results = self._run_classical_analysis(market_data, components)
        
        # Compare results
        comparison = self._create_comparison(quantum_results, classical_results)
        
        return comparison
    
    def _run_classical_analysis(self, 
                               market_data: MarketData, 
                               components: Optional[List[ComponentType]] = None) -> Dict[str, Any]:
        """
        Run classical analysis on market data.
        
        Args:
            market_data: The market data to analyze
            components: Optional list of components to use for analysis
            
        Returns:
            Dictionary containing classical analysis results
        """
        # TODO: Implement classical analysis
        logger.info("Running classical analysis")
        return {}
    
    def _create_comparison(self, 
                          quantum_results: Dict[str, Any], 
                          classical_results: Dict[str, Any]) -> Dict[str, Any]:
        """
        Create comparison data structure between quantum and classical results.
        
        Args:
            quantum_results: Results from quantum analysis
            classical_results: Results from classical analysis
            
        Returns:
            Dictionary containing comparison metrics and differences
        """
        # TODO: Implement comparison logic
        logger.info("Creating comparison between quantum and classical results")
        
        comparison = {
            "quantum_results": quantum_results,
            "classical_results": classical_results,
            "comparison_metrics": {},
            "timestamp": datetime.now().isoformat()
        }
        
        return comparison

# For testing purposes
if __name__ == "__main__":
    print("Quantum-Classical Comparator module")
    print("This module provides tools for comparing quantum and classical approaches.") 