知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2026/05/01
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Desc: 同花顺-基金基本信息
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https://fund.10jqka.com.cn/161130/interduce.html
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"""
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import pandas as pd
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import requests
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from bs4 import BeautifulSoup
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from akshare.utils.cons import headers
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def fund_info_ths(symbol: str = "161130") -> pd.DataFrame:
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"""
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同花顺-基金数据-基金基本信息
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https://fund.10jqka.com.cn/161130/interduce.html
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:param symbol: 基金代码
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:type symbol: str
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:return: 基金基本信息
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:rtype: pandas.DataFrame
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"""
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url = f"https://fund.10jqka.com.cn/{symbol}/interduce.html"
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r = requests.get(url, headers=headers, timeout=15)
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soup = BeautifulSoup(r.content, features="lxml", from_encoding="utf-8")
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# 查找基金信息对话框
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g_dialog = soup.find("ul", class_="g-dialog")
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if not g_dialog:
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raise ValueError("未找到基金信息，可能网页结构已变化")
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# 提取所有基金信息
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fund_data = {}
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lis = g_dialog.find_all("li")
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for li in lis:
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key_elem = li.find("span", class_="key")
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value_elem = li.find("span", class_="value")
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if key_elem and value_elem:
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key = key_elem.get_text(strip=True)
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value = value_elem.get_text(strip=True)
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fund_data[key] = value
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# 转换为DataFrame
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temp_df = pd.DataFrame(list(fund_data.items()), columns=["字段", "值"])
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return temp_df
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if __name__ == "__main__":
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# 测试获取基金基本信息
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fund_info_ths_df = fund_info_ths(symbol="161130")
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print(fund_info_ths_df)
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