from typing import List, Optional
from src.jixia.engines.data_abstraction import DataProvider
from src.jixia.models.financial_data_models import StockQuote, HistoricalPrice, CompanyProfile, FinancialNews
from src.jixia.engines.perpetual_engine import JixiaPerpetualEngine
from config.settings import get_rapidapi_key

class RapidAPIDataProvider(DataProvider):
    """RapidAPI永动机引擎适配器"""
    
    def __init__(self):
        self.engine = JixiaPerpetualEngine(get_rapidapi_key())
        self._name = "RapidAPI"
        self._priority = 2  # 中等优先级
    
    def get_quote(self, symbol: str) -> Optional[StockQuote]:
        result = self.engine.get_immortal_data("吕洞宾", "quote", symbol)
        if result.success and result.data:
            # 解析RapidAPI返回的数据并转换为StockQuote
            # 这里需要根据实际API返回的数据结构进行调整
            return StockQuote(
                symbol=symbol,
                price=result.data.get("price", 0),
                change=result.data.get("change", 0),
                change_percent=result.data.get("change_percent", 0),
                volume=result.data.get("volume", 0),
                timestamp=result.data.get("timestamp")
            )
        return None
    
    def get_historical_prices(self, symbol: str, days: int = 30) -> List[HistoricalPrice]:
        # 实现历史价格数据获取逻辑
        pass
    
    def get_company_profile(self, symbol: str) -> Optional[CompanyProfile]:
        # 实现公司概况获取逻辑
        pass
    
    def get_news(self, symbol: str, limit: int = 10) -> List[FinancialNews]:
        # 实现新闻获取逻辑
        pass
    
    @property
    def name(self) -> str:
        return self._name
    
    @property
    def priority(self) -> int:
        return self._priority