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
146 lines
4.9 KiB
Python
146 lines
4.9 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2025/9/20 17:40
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Desc: 东方财富网站-天天基金网-基金档案-基金公告
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https://fundf10.eastmoney.com/jjgg_000001.html
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"""
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import time
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import pandas as pd
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import requests
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def fund_announcement_dividend_em(symbol: str = "000001") -> pd.DataFrame:
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"""
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东方财富网站-天天基金网-基金档案-基金公告-分红配送
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https://fundf10.eastmoney.com/jjgg_000001_2.html
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:param symbol: 基金代码; 可以通过调用 ak.fund_name_em() 接口获取
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:type symbol: str
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:return: 分红配送-公告列表
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:rtype: pandas.DataFrame
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"""
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url = "http://api.fund.eastmoney.com/f10/JJGG"
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/80.0.3987.149 Safari/537.36",
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"Referer": f"http://fundf10.eastmoney.com/jjgg_{symbol}_2.html",
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}
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params = {
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"fundcode": symbol,
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"pageIndex": "1",
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"pageSize": "1000",
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"type": "2",
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"_": round(time.time() * 1000),
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}
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r = requests.get(url, params=params, headers=headers)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["Data"])
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temp_df.columns = [
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"基金代码",
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"公告标题",
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"基金名称",
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"_",
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"_",
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"公告日期",
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"_",
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"报告ID",
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]
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temp_df = temp_df[["基金代码", "公告标题", "基金名称", "公告日期", "报告ID"]]
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temp_df.sort_values(by=["公告日期"], inplace=True, ignore_index=True)
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temp_df["公告日期"] = pd.to_datetime(temp_df["公告日期"], errors="coerce").dt.date
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return temp_df
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def fund_announcement_report_em(symbol: str = "000001") -> pd.DataFrame:
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"""
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东方财富网站-天天基金网-基金档案-基金公告-定期报告
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https://fundf10.eastmoney.com/jjgg_000001_3.html
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:param symbol: 基金代码; 可以通过调用 ak.fund_name_em() 接口获取
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:type symbol: str
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:return: 定期报告-公告列表
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:rtype: pandas.DataFrame
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"""
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url = "http://api.fund.eastmoney.com/f10/JJGG"
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/80.0.3987.149 Safari/537.36",
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"Referer": f"http://fundf10.eastmoney.com/jjgg_{symbol}_3.html",
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}
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params = {
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"fundcode": symbol,
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"pageIndex": "1",
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"pageSize": "1000",
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"type": "3",
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"_": round(time.time() * 1000),
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}
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r = requests.get(url, params=params, headers=headers)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["Data"])
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temp_df.columns = [
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"基金代码",
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"公告标题",
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"基金名称",
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"_",
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"_",
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"公告日期",
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"_",
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"报告ID",
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]
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temp_df = temp_df[["基金代码", "公告标题", "基金名称", "公告日期", "报告ID"]]
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temp_df.sort_values(by=["公告日期"], inplace=True, ignore_index=True)
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temp_df["公告日期"] = pd.to_datetime(temp_df["公告日期"], errors="coerce").dt.date
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return temp_df
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def fund_announcement_personnel_em(symbol: str = "000001") -> pd.DataFrame:
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"""
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东方财富网站-天天基金网-基金档案-基金公告-人事调整
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https://fundf10.eastmoney.com/jjgg_000001_4.html
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:param symbol: 基金代码; 可以通过调用 ak.fund_name_em() 接口获取
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:type symbol: str
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:return: 人事调整-公告列表
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:rtype: pandas.DataFrame
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"""
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url = "http://api.fund.eastmoney.com/f10/JJGG"
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.149 Safari/537.36",
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"Referer": f"http://fundf10.eastmoney.com/jjgg_{symbol}_4.html",
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}
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params = {
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"fundcode": symbol,
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"pageIndex": "1",
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"pageSize": "1000",
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"type": "4",
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"_": round(time.time() * 1000),
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}
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r = requests.get(url, params=params, headers=headers)
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data_json = r.json()
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temp_df = pd.DataFrame(data_json["Data"])
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temp_df.columns = [
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"基金代码",
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"公告标题",
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"基金名称",
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"_",
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"_",
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"公告日期",
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"_",
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"报告ID",
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]
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temp_df = temp_df[["基金代码", "公告标题", "基金名称", "公告日期", "报告ID"]]
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temp_df.sort_values(by=["公告日期"], inplace=True, ignore_index=True)
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temp_df["公告日期"] = pd.to_datetime(temp_df["公告日期"], errors="coerce").dt.date
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return temp_df
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if __name__ == "__main__":
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fund_announcement_dividend_em_df = fund_announcement_dividend_em(symbol="000001")
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print(fund_announcement_dividend_em_df)
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fund_announcement_report_em_df = fund_announcement_report_em(symbol="000001")
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print(fund_announcement_report_em_df)
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fund_announcement_personnel_em_df = fund_announcement_personnel_em(symbol="000001")
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print(fund_announcement_personnel_em_df)
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