119 lines
3.8 KiB
Python
119 lines
3.8 KiB
Python
"""
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美股/港股分析技能
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"""
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from typing import Dict, Any
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from app.skills.base import BaseSkill, SkillParameter
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from app.services.us_stock_service import us_stock_service
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from app.utils.logger import logger
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class USStockSkill(BaseSkill):
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"""美股/港股分析技能（使用 yfinance）"""
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def __init__(self):
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super().__init__()
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self.name = "us_stock_analysis"
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self.description = "分析美股（如 AAPL, TSLA）和港股（如 0700.HK, 9988.HK），获取实时行情、技术指标、基本面数据"
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self.parameters = [
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SkillParameter(
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name="symbol",
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type="string",
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description="股票代码（美股如 AAPL, TSLA；港股如 0700.HK, 9988.HK）",
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required=True
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),
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SkillParameter(
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name="analysis_type",
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type="string",
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description="分析类型：basic（基本信息）、technical（技术分析）、fundamental（基本面）、comprehensive（综合分析）",
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required=False,
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default="comprehensive"
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)
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]
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async def execute(self, **kwargs) -> Dict[str, Any]:
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"""
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执行美股分析
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Args:
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symbol: 美股代码
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analysis_type: 分析类型
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Returns:
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分析结果字典
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"""
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try:
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symbol = kwargs.get("symbol", "").upper()
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analysis_type = kwargs.get("analysis_type", "comprehensive")
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if not symbol:
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return {
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"success": False,
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"error": "请提供美股代码"
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}
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logger.info(f"开始分析股票: {symbol}, 类型: {analysis_type}")
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if analysis_type == "basic":
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# 基本信息
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info = us_stock_service.get_stock_info(symbol)
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if not info:
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return {
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"success": False,
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"error": f"未找到股票 {symbol}"
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}
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return {
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"success": True,
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"data": info
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}
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elif analysis_type == "technical":
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# 技术分析
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hist = us_stock_service.get_historical_data(symbol, period="6mo")
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if hist is None or hist.empty:
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return {
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"success": False,
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"error": "无法获取历史数据"
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}
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technical = us_stock_service.calculate_technical_indicators(hist)
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latest = hist.iloc[-1]
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return {
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"success": True,
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"data": {
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"symbol": symbol,
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"current_price": float(latest['Close']),
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"volume": int(latest['Volume']),
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"technical_indicators": technical
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}
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}
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elif analysis_type == "fundamental":
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# 基本面分析
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financial = us_stock_service.get_financial_data(symbol)
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if not financial:
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return {
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"success": False,
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"error": "无法获取财务数据"
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}
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return {
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"success": True,
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"data": financial
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}
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else:
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# 综合分析（默认）
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result = us_stock_service.get_comprehensive_analysis(symbol)
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return result
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except Exception as e:
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logger.error(f"美股分析失败: {e}")
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return {
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"success": False,
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"error": str(e)
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}
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# 创建全局实例
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us_stock_skill = USStockSkill()
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