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
168 lines
7.0 KiB
Python
168 lines
7.0 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2025/12/22 17:00
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Desc: 天天基金-基金档案
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https://fundf10.eastmoney.com/jjfl_015641.html
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"""
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import re
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from io import StringIO
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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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def fund_fee_em(symbol: str = "015641", indicator: str = "认购费率") -> pd.DataFrame:
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"""
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天天基金-基金档案-购买信息
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https://fundf10.eastmoney.com/jjfl_015641.html
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:param symbol: 基金代码
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:type symbol: str
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:param indicator: choice of {"交易状态", "申购与赎回金额", "交易确认日", "运作费用", "认购费率（前端）", "认购费率（后端）","申购费率（前端）", "赎回费率"}
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:type indicator: str
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:return: 交易规则
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:rtype: pandas.DataFrame
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"""
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url = f"https://fundf10.eastmoney.com/jjfl_{symbol}.html"
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r = requests.get(url)
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soup = BeautifulSoup(r.text, features="html.parser")
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tables_dict = {}
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title_elements = soup.find_all(name="h4", class_="t")
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for title_elem in title_elements:
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title_text = title_elem.get_text(strip=True)
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title_text = re.sub(r"\s+", " ", title_text).strip()
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if title_text == "申购与赎回金额":
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next_table = title_elem.find_all_next("table")[0]
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next_next_table = title_elem.find_all_next("table")[1]
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table_html = str(next_table)
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next_table_html = str(next_next_table)
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df_1 = pd.read_html(StringIO(table_html))[0]
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df_2 = pd.read_html(StringIO(next_table_html))[0]
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df = pd.concat(objs=[df_1, df_2], ignore_index=True)
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tables_dict[title_text] = df
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continue
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else:
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next_table = title_elem.find_next("table")
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if next_table:
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try:
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# 将表格转换为HTML字符串，然后使用pd.read_html读取
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table_html = str(next_table)
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df = pd.read_html(StringIO(table_html))[0]
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tables_dict[title_text] = df
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except Exception as e:
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print("Error:", e)
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continue
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if indicator == "交易状态":
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temp_df = tables_dict[indicator]
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elif indicator == "申购与赎回金额":
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temp_df = tables_dict[indicator]
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elif indicator == "交易确认日":
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temp_df = tables_dict[indicator]
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elif indicator == "运作费用":
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temp_df = tables_dict[indicator]
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elif indicator == "认购费率（后端）":
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temp_df = tables_dict[indicator]
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elif indicator == "认购费率（前端）":
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temp_df = tables_dict[indicator]
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temp_df[["原费率", "天天基金优惠费率"]] = temp_df[
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"原费率|天天基金优惠费率"
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].str.split("|", expand=True)
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del temp_df["原费率|天天基金优惠费率"]
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temp_df.loc[3, "天天基金优惠费率"] = temp_df.loc[3, "原费率"]
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temp_df["原费率"] = temp_df["原费率"].str.strip()
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temp_df["天天基金优惠费率"] = temp_df["天天基金优惠费率"].str.strip()
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elif indicator == "申购费率（前端）":
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temp_df = tables_dict[indicator]
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if "原费率|天天基金优惠费率 银行卡购买|活期宝购买" not in temp_df.columns:
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# assert temp_df.columns.tolist() == ["适用金额", "适用期限", "费率"]
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return temp_df
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splited = temp_df["原费率|天天基金优惠费率 银行卡购买|活期宝购买"].str.split(
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"|", expand=True
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)
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if splited.shape[1] == 1:
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temp_df.rename(
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columns={"原费率|天天基金优惠费率 银行卡购买|活期宝购买": "原费率"},
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inplace=True,
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)
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temp_df["天天基金优惠费率-银行卡购买"] = temp_df["原费率"]
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temp_df["天天基金优惠费率-活期宝购买"] = temp_df["原费率"]
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else:
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temp_df[
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["原费率", "天天基金优惠费率-银行卡购买", "天天基金优惠费率-活期宝购买"]
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] = splited
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temp_df["天天基金优惠费率-银行卡购买"] = temp_df[
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"天天基金优惠费率-银行卡购买"
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].fillna(temp_df["原费率"])
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temp_df["天天基金优惠费率-活期宝购买"] = temp_df[
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"天天基金优惠费率-活期宝购买"
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].fillna(temp_df["原费率"])
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del temp_df["原费率|天天基金优惠费率 银行卡购买|活期宝购买"]
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temp_df["原费率"] = temp_df["原费率"].str.strip()
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temp_df["天天基金优惠费率-银行卡购买"] = temp_df[
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"天天基金优惠费率-银行卡购买"
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].str.strip()
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temp_df["天天基金优惠费率-活期宝购买"] = temp_df[
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"天天基金优惠费率-活期宝购买"
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].str.strip()
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elif indicator in ("赎回费率", "赎回费率（前端）", "赎回费率（后端）"):
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temp_df = tables_dict[indicator]
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if "原费率|天天基金优惠费率" in temp_df.columns:
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temp_df[["原费率", "天天基金优惠费率"]] = temp_df[
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"原费率|天天基金优惠费率"
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].str.split("|", expand=True)
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del temp_df["原费率|天天基金优惠费率"]
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else:
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temp_df = pd.DataFrame([])
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return temp_df
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if __name__ == "__main__":
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fund_fee_em_df = fund_fee_em(symbol="019005", indicator="交易状态")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="019005", indicator="申购与赎回金额")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="019005", indicator="交易确认日")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="019005", indicator="运作费用")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="019005", indicator="认购费率（前端）")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="019005", indicator="申购费率（前端）")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="000011", indicator="赎回费率")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="018403", indicator="赎回费率")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="100035", indicator="赎回费率（前端）")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="022364", indicator="申购费率（前端）")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="022365", indicator="申购费率（前端）")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="006030", indicator="申购费率（前端）")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="022568", indicator="申购费率（前端）")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="960029", indicator="申购费率（前端）")
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print(fund_fee_em_df)
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fund_fee_em_df = fund_fee_em(symbol="000011", indicator="认购费率（后端）")
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print(fund_fee_em_df)
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