Refactor: restructure market module with services, stores, and utils

market/models/llm_analysis.py

@@ -0,0 +1,56 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+LLM 分析结果数据结构
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Dict, List, Optional
+
+
+@dataclass
+class LLMAnalysisResult:
+    """LLM 分析结果"""
+    symbol: str
+    trend_analysis: Dict = field(default_factory=dict)
+    overall_trend: Optional[Dict] = None
+    key_levels: Optional[Dict] = None
+    trade_suggestions: List[Dict] = field(default_factory=list)
+    analyzed_at: Optional[str] = None
+    data_stale: bool = False
+    market_status: str = "active"  # active, stale, closed
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        return {
+            "symbol": self.symbol,
+            "trend_analysis": self.trend_analysis,
+            "overall_trend": self.overall_trend,
+            "key_levels": self.key_levels,
+            "trade_suggestions": self.trade_suggestions,
+            "analyzed_at": self.analyzed_at,
+            "data_stale": self.data_stale,
+            "market_status": self.market_status
+        }
+
+    @classmethod
+    def from_api_response(cls, symbol: str, data: Dict) -> 'LLMAnalysisResult':
+        """从 LLM API 返回的字典创建"""
+        return cls(
+            symbol=symbol,
+            trend_analysis=data.get("trend_analysis", {}),
+            overall_trend=data.get("overall_trend"),
+            key_levels=data.get("key_levels"),
+            trade_suggestions=data.get("trade_suggestions", []),
+            analyzed_at=datetime.now().isoformat(),
+            data_stale=False,
+            market_status="active"
+        )
+
+    def get_trade_suggestion(self, period: str) -> Optional[Dict]:
+        """获取指定周期的交易建议"""
+        for ts in self.trade_suggestions:
+            if ts.get("period") == period:
+                return ts
+        return None