#!/usr/bin/env python3

"""
What-If Analyzer for parameter sensitivity analysis.

This module will analyze how changing parameters affects quantum and classical market predictions.
"""

import logging
from typing import Dict, Any, List
from ..quantum_financial_api import QuantumFinancialAPI, MarketData

logger = logging.getLogger(__name__)

class WhatIfAnalyzer:
    """
    Analyzer for exploring the effect of parameter variations on market predictions.
    """
    def __init__(self, api: QuantumFinancialAPI):
        """
        Initialize the What-If Analyzer.

        Args:
            api: Instance of QuantumFinancialAPI to use for analysis.
        """
        self.api = api
        logger.info("Initialized WhatIfAnalyzer")

    def analyze_parameter_sensitivity(self,
                                      market_data: MarketData,
                                      parameter: str,
                                      values: List[Any]) -> Dict[Any, Dict[str, Any]]:
        """
        Perform sensitivity analysis by varying a parameter and recording results.

        Args:
            market_data: MarketData object to analyze.
            parameter: The name of the parameter to vary.
            values: List of parameter values to test.

        Returns:
            A mapping from parameter value to analysis result.
        """
        results: Dict[Any, Dict[str, Any]] = {}
        for val in values:
            # NOTE: Placeholder implementation — in real implementation, modify market_data or config accordingly
            try:
                setattr(market_data, parameter, val)
            except Exception:
                logger.warning(f"Could not set parameter {parameter} on MarketData")
            result = self.api.analyze_market_data(market_data)
            results[val] = {"analysis": result}
        return results 