#!/usr/bin/env python3
"""
查看分析历史工具
"""
import os
import sys
import json
from datetime import datetime
from analysis_storage import AnalysisStorage

def print_banner():
    """打印横幅"""
    banner = """
╔══════════════════════════════════════════════════════════════╗
║                    分析历史查看工具                           ║
║                Analysis History Viewer                      ║
╚══════════════════════════════════════════════════════════════╝
    """
    print(banner)

def list_all_analyses():
    """列出所有分析记录"""
    storage = AnalysisStorage()
    analyses = storage.list_all_analyses()
    
    if not analyses:
        print("📭 暂无分析记录")
        return
    
    print(f"📊 共找到 {len(analyses)} 条分析记录:")
    print("=" * 80)
    
    for i, analysis in enumerate(analyses, 1):
        print(f"{i:2d}. {analysis['symbol']} - {analysis['company_name']}")
        print(f"    时间: {analysis['analysis_date']}")
        print(f"    建议: {analysis['recommendation']}")
        print(f"    评分: {analysis['overall_score']:.1f}/100")
        print(f"    文件: {analysis['files']['summary']}")
        print("-" * 80)

def view_analysis_details(symbol: str):
    """查看特定股票的分析详情"""
    storage = AnalysisStorage()
    analysis_data = storage.get_latest_analysis(symbol)
    
    if not analysis_data:
        print(f"❌ 未找到 {symbol} 的分析记录")
        return
    
    print(f"\n📈 {symbol} 最新分析结果:")
    print("=" * 60)
    
    # 基本信息
    metadata = analysis_data.get('analysis_metadata', {})
    company_info = analysis_data.get('company_info', {})
    investment_rec = analysis_data.get('investment_recommendation', {})
    
    print(f"公司名称: {company_info.get('name', 'N/A')}")
    print(f"分析时间: {metadata.get('analysis_date', 'N/A')}")
    print(f"投资建议: {investment_rec.get('recommendation', 'N/A')}")
    print(f"综合评分: {investment_rec.get('overall_score', 0):.1f}/100")
    
    # 各维度评分
    valuation = analysis_data.get('valuation_analysis', {})
    financial_health = analysis_data.get('financial_health', {})
    growth = analysis_data.get('growth_analysis', {})
    risk = analysis_data.get('risk_analysis', {})
    
    print(f"\n📊 各维度评分:")
    print(f"  估值吸引力: {valuation.get('valuation_score', 0):.1f}/100")
    print(f"  财务健康度: {financial_health.get('health_score', 0):.1f}/100")
    print(f"  成长性: {growth.get('growth_score', 0):.1f}/100")
    print(f"  风险控制: {risk.get('risk_score', 0):.1f}/100")
    
    # 关键优势
    strengths = investment_rec.get('key_strengths', [])
    if strengths:
        print(f"\n✅ 关键优势:")
        for strength in strengths:
            print(f"  • {strength}")
    
    # 关键担忧
    concerns = investment_rec.get('key_concerns', [])
    if concerns:
        print(f"\n⚠️ 关键担忧:")
        for concern in concerns:
            print(f"  • {concern}")
    
    # 风险提示
    warnings = investment_rec.get('risk_warnings', [])
    if warnings:
        print(f"\n🚨 风险提示:")
        for warning in warnings:
            print(f"  • {warning}")

def view_analysis_history(symbol: str):
    """查看特定股票的分析历史"""
    storage = AnalysisStorage()
    history = storage.get_analysis_history(symbol)
    
    if not history:
        print(f"❌ 未找到 {symbol} 的分析历史")
        return
    
    print(f"\n📚 {symbol} 分析历史 (共 {len(history)} 条记录):")
    print("=" * 80)
    
    for i, record in enumerate(history, 1):
        print(f"{i:2d}. 时间: {record['analysis_date']}")
        print(f"    建议: {record['recommendation']}")
        print(f"    评分: {record['overall_score']:.1f}/100")
        print(f"    文件: {record['files']['summary']}")
        print("-" * 80)

def export_analysis_summary():
    """导出分析摘要"""
    storage = AnalysisStorage()
    analyses = storage.list_all_analyses()
    
    if not analyses:
        print("📭 暂无分析记录可导出")
        return
    
    # 生成摘要报告
    summary_file = f"analysis_summary_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md"
    
    with open(summary_file, 'w', encoding='utf-8') as f:
        f.write("# 股票分析摘要报告\n\n")
        f.write(f"生成时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
        f.write(f"分析记录数: {len(analyses)}\n\n")
        
        f.write("## 分析记录列表\n\n")
        
        for i, analysis in enumerate(analyses, 1):
            f.write(f"### {i}. {analysis['symbol']} - {analysis['company_name']}\n")
            f.write(f"- **分析时间**: {analysis['analysis_date']}\n")
            f.write(f"- **投资建议**: {analysis['recommendation']}\n")
            f.write(f"- **综合评分**: {analysis['overall_score']:.1f}/100\n")
            f.write(f"- **详细报告**: {analysis['files']['summary']}\n\n")
    
    print(f"✅ 分析摘要已导出到: {summary_file}")

def main():
    """主函数"""
    if len(sys.argv) < 2:
        print("使用方法:")
        print("python3 view_analysis.py list                    # 列出所有分析记录")
        print("python3 view_analysis.py view <股票代码>         # 查看最新分析结果")
        print("python3 view_analysis.py history <股票代码>     # 查看分析历史")
        print("python3 view_analysis.py export                  # 导出分析摘要")
        return
    
    command = sys.argv[1].lower()
    
    if command == 'list':
        print_banner()
        list_all_analyses()
    
    elif command == 'view':
        if len(sys.argv) < 3:
            print("❌ 请提供股票代码")
            return
        symbol = sys.argv[2].upper()
        print_banner()
        view_analysis_details(symbol)
    
    elif command == 'history':
        if len(sys.argv) < 3:
            print("❌ 请提供股票代码")
            return
        symbol = sys.argv[2].upper()
        print_banner()
        view_analysis_history(symbol)
    
    elif command == 'export':
        print_banner()
        export_analysis_summary()
    
    else:
        print("❌ 无效命令")

if __name__ == "__main__":
    main()