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"""
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智能分析系统（股票） - 股票市场数据分析系统
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修改：熊猫大侠
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版本：v2.1.0
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"""
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import akshare as ak
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import pandas as pd
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import logging
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class USStockService:
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def __init__(self):
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logging.basicConfig(level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s')
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self.logger = logging.getLogger(__name__)
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def search_us_stocks(self, keyword):
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"""
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搜索美股代码
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:param keyword: 搜索关键词
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:return: 匹配的股票列表
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"""
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try:
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df = ak.stock_us_spot_em()
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df = df.rename(columns={
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"序号": "index",
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"名称": "name",
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"最新价": "price",
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"涨跌额": "price_change",
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"涨跌幅": "price_change_percent",
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"开盘价": "open",
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"最高价": "high",
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"最低价": "low",
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"昨收价": "pre_close",
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"总市值": "market_value",
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"市盈率": "pe_ratio",
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"成交量": "volume",
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"成交额": "turnover",
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"振幅": "amplitude",
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"换手率": "turnover_rate",
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"代码": "symbol"
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})
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mask = df['name'].str.contains(keyword, case=False, na=False)
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results = df[mask]
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formatted_results = []
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for _, row in results.iterrows():
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formatted_results.append({
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'name': row['name'] if pd.notna(row['name']) else '',
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'symbol': str(row['symbol']) if pd.notna(row['symbol']) else '',
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'price': float(row['price']) if pd.notna(row['price']) else 0.0,
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'market_value': float(row['market_value']) if pd.notna(row['market_value']) else 0.0
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})
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return formatted_results
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except Exception as e:
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self.logger.error(f"搜索美股代码时出错: {str(e)}")
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raise Exception(f"搜索美股代码失败: {str(e)}") |
