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182
run_analysis.py
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182
run_analysis.py
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#!/usr/bin/env python3
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"""
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美股分析系统启动脚本
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提供交互式界面进行股票分析
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"""
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import sys
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import os
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from main import StockAnalysisSystem
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def print_banner():
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"""打印系统横幅"""
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banner = """
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╔══════════════════════════════════════════════════════════════╗
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║ 美股低价值公司分析系统 ║
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║ US Stock Value Analysis ║
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╚══════════════════════════════════════════════════════════════╝
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"""
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print(banner)
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def print_menu():
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"""打印主菜单"""
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menu = """
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请选择操作:
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1. 分析单只股票 (完整分析)
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2. 快速筛选股票 (检查是否符合低价值标准)
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3. 批量分析多只股票
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4. 查看历史分析结果
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5. 系统测试
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6. 退出
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请输入选项 (1-6): """
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return input(menu).strip()
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def analyze_single_stock():
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"""分析单只股票"""
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symbol = input("请输入股票代码 (如: AAPL): ").strip().upper()
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if not symbol:
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print("❌ 股票代码不能为空")
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return
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print(f"\n🔍 正在分析 {symbol}...")
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print("⏳ 这可能需要2-3分钟，请耐心等待...")
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system = StockAnalysisSystem()
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result = system.analyze_stock(symbol)
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if 'error' in result:
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print(f"❌ 分析失败: {result['error']}")
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else:
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print(f"\n✅ {symbol} 分析完成!")
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print(f"📊 投资建议: {result.get('recommendation', 'N/A')}")
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print(f"🎯 综合评分: {result.get('overall_score', 0):.1f}/100")
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recommendation = result.get('investment_recommendation', {})
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if recommendation.get('key_strengths'):
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print("\n💪 关键优势:")
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for strength in recommendation['key_strengths']:
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print(f" • {strength}")
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if recommendation.get('key_concerns'):
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print("\n⚠️ 关键担忧:")
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for concern in recommendation['key_concerns']:
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print(f" • {concern}")
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if result.get('report_file'):
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print(f"\n📄 详细报告: {result['report_file']}")
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if result.get('summary_file'):
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print(f"📝 简要报告: {result['summary_file']}")
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def quick_screen_stock():
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"""快速筛选股票"""
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symbol = input("请输入股票代码 (如: AAPL): ").strip().upper()
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if not symbol:
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print("❌ 股票代码不能为空")
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return
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print(f"\n🔍 正在快速筛选 {symbol}...")
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system = StockAnalysisSystem()
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result = system.quick_screening(symbol)
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if 'error' in result:
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print(f"❌ 筛选失败: {result['error']}")
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else:
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print(f"\n📋 {symbol} 筛选结果:")
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print(f"🏢 公司名称: {result.get('company_name', 'N/A')}")
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print(f"💰 市值: ${result.get('market_cap', 0):,.0f}")
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if result.get('passes_screening'):
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print("✅ 通过低价值投资筛选")
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else:
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print("❌ 未通过低价值投资筛选")
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if result.get('criteria_met'):
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print("\n✅ 符合条件:")
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for criteria in result['criteria_met']:
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print(f" • {criteria}")
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if result.get('criteria_failed'):
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print("\n❌ 不符合条件:")
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for criteria in result['criteria_failed']:
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print(f" • {criteria}")
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def batch_analyze_stocks():
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"""批量分析股票"""
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symbols_input = input("请输入股票代码，用逗号分隔 (如: AAPL,MSFT,GOOGL): ").strip()
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if not symbols_input:
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print("❌ 股票代码不能为空")
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return
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symbols = [s.strip().upper() for s in symbols_input.split(',')]
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print(f"\n🔍 正在批量分析 {len(symbols)} 只股票...")
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print("⏳ 这可能需要较长时间，请耐心等待...")
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system = StockAnalysisSystem()
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results = system.batch_analysis(symbols)
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print(f"\n📊 批量分析结果:")
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print("=" * 60)
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for symbol, result in results.items():
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if 'error' in result:
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print(f"❌ {symbol}: {result['error']}")
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else:
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recommendation = result.get('recommendation', 'N/A')
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score = result.get('overall_score', 0)
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print(f"📈 {symbol}: {recommendation} (评分: {score:.1f})")
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def view_history():
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"""查看历史分析结果"""
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print("\n📚 历史分析结果功能开发中...")
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print("💡 提示: 分析结果已保存在数据库中，详细报告在 reports/ 目录下")
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def run_system_test():
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"""运行系统测试"""
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print("\n🧪 正在运行系统测试...")
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try:
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from test_system import main as test_main
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test_main()
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except ImportError:
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print("❌ 测试模块未找到")
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except Exception as e:
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print(f"❌ 测试失败: {e}")
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def main():
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"""主函数"""
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print_banner()
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while True:
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try:
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choice = print_menu()
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if choice == '1':
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analyze_single_stock()
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elif choice == '2':
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quick_screen_stock()
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elif choice == '3':
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batch_analyze_stocks()
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elif choice == '4':
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view_history()
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elif choice == '5':
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run_system_test()
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elif choice == '6':
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print("\n👋 感谢使用美股分析系统!")
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break
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else:
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print("❌ 无效选项，请重新选择")
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input("\n按回车键继续...")
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print("\n" + "="*60)
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except KeyboardInterrupt:
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print("\n\n👋 程序已退出")
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break
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except Exception as e:
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print(f"\n❌ 发生错误: {e}")
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input("按回车键继续...")
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if __name__ == "__main__":
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main()
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