"""
数据源策略工具类
根据股票类型智能选择和排序数据源优先级
"""
from typing import List, Dict
from .symbol_processor import get_symbol_processor
import logging
logger = logging.getLogger("data_source_strategy")
class DataSourceStrategy:
"""数据源策略管理器"""
def __init__(self):
self.symbol_processor = get_symbol_processor()
def get_market_data_sources(self, symbol: str) -> List[str]:
"""
获取市场数据(K线、行情)的数据源优先级列表
Args:
symbol: 股票代码
Returns:
List[str]: 数据源优先级列表
"""
classification = self.symbol_processor.classifier.classify_stock(symbol)
if classification["is_china"]:
# A股：Tushare > 通达信 > AKShare
return ["tushare", "tdx", "akshare"]
elif classification["is_hk"]:
# 港股：AKShare > Tushare > YFinance
return ["akshare", "tushare", "yfinance"]
elif classification["is_us"]:
# 美股：YFinance > AKShare
return ["yfinance", "akshare"]
else:
# 未知市场：尝试所有数据源
return ["yfinance", "akshare", "tushare", "tdx"]
def get_fundamental_data_sources(self, symbol: str) -> List[str]:
"""
获取基本面数据(财务报表、指标)的数据源优先级列表
Args:
symbol: 股票代码
Returns:
List[str]: 数据源优先级列表
"""
classification = self.symbol_processor.classifier.classify_stock(symbol)
if classification["is_china"]:
# A股：Tushare（最完整的财务数据） > AKShare
return ["tushare", "akshare"]
elif classification["is_hk"]:
# 港股：AKShare > Tushare > YFinance
return ["akshare", "tushare", "yfinance"]
elif classification["is_us"]:
# 美股：YFinance（最完整的财务数据） > AKShare
return ["yfinance", "akshare"]
else:
# 未知市场
return ["yfinance", "akshare", "tushare"]
def get_news_data_sources(self, symbol: str) -> List[str]:
"""
获取新闻数据的数据源优先级列表
Args:
symbol: 股票代码
Returns:
List[str]: 数据源优先级列表
"""
classification = self.symbol_processor.classifier.classify_stock(symbol)
if classification["is_china"]:
# A股新闻：AKShare > Tushare
return ["akshare", "tushare"]
elif classification["is_hk"]:
# 港股新闻：AKShare > YFinance
return ["akshare", "yfinance"]
elif classification["is_us"]:
# 美股新闻：YFinance > AKShare
return ["yfinance", "akshare"]
else:
return ["akshare", "yfinance"]
def get_all_data_sources(self, symbol: str) -> Dict[str, List[str]]:
"""
获取某个股票所有类型数据的数据源策略
Args:
symbol: 股票代码
Returns:
Dict[str, List[str]]: 包含market、fundamental、news的数据源列表
"""
return {
"market": self.get_market_data_sources(symbol),
"fundamental": self.get_fundamental_data_sources(symbol),
"news": self.get_news_data_sources(symbol),
}
def log_strategy(self, symbol: str):
"""
打印股票的数据源策略日志
Args:
symbol: 股票代码
"""
classification = self.symbol_processor.classifier.classify_stock(symbol)
strategies = self.get_all_data_sources(symbol)
logger.info(f"📊 股票 {symbol} 的数据源策略:")
logger.info(f" 市场类型: {classification['market_name']}")
logger.info(f" 交易所: {classification['exchange']}")
logger.info(f" 市场数据源: {' → '.join(strategies['market'])}")
logger.info(f" 基本面数据源: {' → '.join(strategies['fundamental'])}")
logger.info(f" 新闻数据源: {' → '.join(strategies['news'])}")
# 全局策略管理器实例
_strategy_manager = None
def get_data_source_strategy() -> DataSourceStrategy:
"""获取数据源策略管理器单例"""
global _strategy_manager
if _strategy_manager is None:
_strategy_manager = DataSourceStrategy()
return _strategy_manager
# 便捷函数
def get_market_data_sources(symbol: str) -> List[str]:
"""获取市场数据源列表的便捷函数"""
return get_data_source_strategy().get_market_data_sources(symbol)
def get_fundamental_data_sources(symbol: str) -> List[str]:
"""获取基本面数据源列表的便捷函数"""
return get_data_source_strategy().get_fundamental_data_sources(symbol)
def get_news_data_sources(symbol: str) -> List[str]:
"""获取新闻数据源列表的便捷函数"""
return get_data_source_strategy().get_news_data_sources(symbol)
def get_all_data_sources(symbol: str) -> Dict[str, List[str]]:
"""获取所有数据源策略的便捷函数"""
return get_data_source_strategy().get_all_data_sources(symbol)
def log_data_source_strategy(symbol: str):
"""打印数据源策略的便捷函数"""
get_data_source_strategy().log_strategy(symbol)
