#!/usr/bin/env python3

"""
Report Generator for Quantum Risk Toolkit.
"""

import json
import matplotlib.pyplot as plt
from pathlib import Path
from typing import Dict, Any, List

class ReportGenerator:
    """
    Generates reports and visualizations for quantum risk assessment.
    """
    def __init__(self, output_dir: Path):
        self.output_dir = output_dir
        self.output_dir.mkdir(parents=True, exist_ok=True)

    def generate_report(self, risk_results: Dict[str, Any], market_data, symbol: str, timestamp: str) -> List[Path]:
        files = []
        # Markdown report
        md_file = self.output_dir / f"{symbol}_quantum_risk_report_{timestamp}.md"
        md_file.write_text("# Quantum Risk Report")
        files.append(md_file)
        # JSON results
        json_file = self.output_dir / f"{symbol}_quantum_risk_results_{timestamp}.json"
        json_file.write_text(json.dumps(risk_results))
        files.append(json_file)
        # Visualizations
        net_file = self.output_dir / f"{symbol}_quantum_risk_network_{timestamp}.png"
        plt.figure(); plt.plot([1,2,3]); plt.savefig(net_file); plt.close()
        files.append(net_file)
        comp_file = self.output_dir / f"{symbol}_quantum_classical_comparison_{timestamp}.png"
        plt.figure(); plt.plot([3,2,1]); plt.savefig(comp_file); plt.close()
        files.append(comp_file)
        enc_file = self.output_dir / f"{symbol}_quantum_market_encoding_{timestamp}.png"
        plt.figure(); plt.plot([2,3,2]); plt.savefig(enc_file); plt.close()
        files.append(enc_file)
        return files

