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
152 lines
5.4 KiB
Python
152 lines
5.4 KiB
Python
#!/usr/bin/env python
|
|
# -*- coding:utf-8 -*-
|
|
"""
|
|
Date: 2026/2/10 16:00
|
|
Desc: 同花顺理财-基金数据-每日净值-ETF
|
|
https://fund.10jqka.com.cn/datacenter/jz/kfs/etf/
|
|
"""
|
|
|
|
import json
|
|
|
|
import pandas as pd
|
|
import requests
|
|
|
|
|
|
def fund_etf_category_ths(symbol: str = "ETF", date: str = "") -> pd.DataFrame:
|
|
"""
|
|
同花顺理财-基金数据-每日净值-实时行情
|
|
https://fund.10jqka.com.cn/datacenter/jz/
|
|
:param symbol: 基金类型; choice of {"股票型", "债券型", "混合型", "ETF", "LOF", "QDII", "保本型", "指数型", ""}; "" 表示全部
|
|
:type symbol: str
|
|
:param date: 查询日期
|
|
:type date: str
|
|
:return: 基金实时行情
|
|
:rtype: pandas.DataFrame
|
|
"""
|
|
symbol_map = {
|
|
"股票型": "gpx",
|
|
"债券型": "zqx",
|
|
"混合型": "hhx",
|
|
"ETF": "ETF",
|
|
"LOF": "LOF",
|
|
"QDII": "QDII",
|
|
"保本型": "bbx",
|
|
"指数型": "zsx",
|
|
"": "all",
|
|
}
|
|
inner_symbol = symbol_map.get(symbol, "ETF")
|
|
inner_date = "-".join([date[:4], date[4:6], date[6:]]) if date != "" else 0
|
|
url = (
|
|
f"https://fund.10jqka.com.cn/data/Net/info/"
|
|
f"{inner_symbol}_rate_desc_{inner_date}_0_1_9999_0_0_0_jsonp_g.html"
|
|
)
|
|
r = requests.get(url, timeout=15)
|
|
data_text = r.text[2:-1]
|
|
data_json = json.loads(data_text)
|
|
temp_df = pd.DataFrame(data_json["data"]["data"]).T
|
|
temp_df.reset_index(inplace=True, drop=True)
|
|
temp_df.reset_index(inplace=True)
|
|
temp_df["index"] = temp_df["index"] + 1
|
|
temp_df.rename(
|
|
columns={
|
|
"index": "序号",
|
|
"code": "基金代码",
|
|
"typename": "基金类型",
|
|
"net": "当前-单位净值",
|
|
"name": "基金名称",
|
|
"totalnet": "当前-累计净值",
|
|
"newnet": "最新-单位净值",
|
|
"newtotalnet": "最新-累计净值",
|
|
"newdate": "最新-交易日",
|
|
"net1": "前一日-单位净值",
|
|
"totalnet1": "前一日-累计净值",
|
|
"ranges": "增长值",
|
|
"rate": "增长率",
|
|
"shstat": "赎回状态",
|
|
"sgstat": "申购状态",
|
|
},
|
|
inplace=True,
|
|
)
|
|
temp_df = temp_df[
|
|
[
|
|
"序号",
|
|
"基金代码",
|
|
"基金名称",
|
|
"当前-单位净值",
|
|
"当前-累计净值",
|
|
"前一日-单位净值",
|
|
"前一日-累计净值",
|
|
"增长值",
|
|
"增长率",
|
|
"赎回状态",
|
|
"申购状态",
|
|
"最新-交易日",
|
|
"最新-单位净值",
|
|
"最新-累计净值",
|
|
"基金类型",
|
|
]
|
|
]
|
|
query_date = inner_date if inner_date != 0 else temp_df["最新-交易日"][0]
|
|
temp_df["查询日期"] = query_date
|
|
temp_df["查询日期"] = pd.to_datetime(temp_df["查询日期"], errors="coerce").dt.date
|
|
temp_df["当前-单位净值"] = pd.to_numeric(temp_df["当前-单位净值"], errors="coerce")
|
|
temp_df["当前-累计净值"] = pd.to_numeric(temp_df["当前-累计净值"], errors="coerce")
|
|
temp_df["前一日-单位净值"] = pd.to_numeric(
|
|
temp_df["前一日-单位净值"], errors="coerce"
|
|
)
|
|
temp_df["前一日-累计净值"] = pd.to_numeric(
|
|
temp_df["前一日-累计净值"], errors="coerce"
|
|
)
|
|
temp_df["增长值"] = pd.to_numeric(temp_df["增长值"], errors="coerce")
|
|
temp_df["增长率"] = pd.to_numeric(temp_df["增长率"], errors="coerce")
|
|
temp_df["最新-单位净值"] = pd.to_numeric(temp_df["最新-单位净值"], errors="coerce")
|
|
temp_df["最新-累计净值"] = pd.to_numeric(temp_df["最新-累计净值"], errors="coerce")
|
|
temp_df["最新-交易日"] = pd.to_datetime(
|
|
temp_df["最新-交易日"], errors="coerce"
|
|
).dt.date
|
|
return temp_df
|
|
|
|
|
|
def fund_etf_spot_ths(date: str = "") -> pd.DataFrame:
|
|
"""
|
|
同花顺理财-基金数据-每日净值-ETF-实时行情
|
|
https://fund.10jqka.com.cn/datacenter/jz/kfs/etf/
|
|
:param date: 查询日期
|
|
:type date: str
|
|
:return: ETF 实时行情
|
|
:rtype: pandas.DataFrame
|
|
"""
|
|
return fund_etf_category_ths(date=date, symbol="ETF")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
fund_etf_category_ths_df = fund_etf_category_ths(date="20240620", symbol="股票型")
|
|
print(fund_etf_category_ths_df)
|
|
|
|
fund_etf_category_ths_df = fund_etf_category_ths(date="20240620", symbol="债券型")
|
|
print(fund_etf_category_ths_df)
|
|
|
|
fund_etf_category_ths_df = fund_etf_category_ths(date="20240620", symbol="混合型")
|
|
print(fund_etf_category_ths_df)
|
|
|
|
fund_etf_category_ths_df = fund_etf_category_ths(date="20240620", symbol="ETF")
|
|
print(fund_etf_category_ths_df)
|
|
|
|
fund_etf_category_ths_df = fund_etf_category_ths(date="20240620", symbol="LOF")
|
|
print(fund_etf_category_ths_df)
|
|
|
|
fund_etf_category_ths_df = fund_etf_category_ths(date="20240620", symbol="QDII")
|
|
print(fund_etf_category_ths_df)
|
|
|
|
fund_etf_category_ths_df = fund_etf_category_ths(date="20240620", symbol="保本型")
|
|
print(fund_etf_category_ths_df)
|
|
|
|
fund_etf_category_ths_df = fund_etf_category_ths(date="20240620", symbol="指数型")
|
|
print(fund_etf_category_ths_df)
|
|
|
|
fund_etf_category_ths_df = fund_etf_category_ths(date="20240620", symbol="")
|
|
print(fund_etf_category_ths_df)
|
|
|
|
fund_etf_spot_ths_df = fund_etf_spot_ths(date="20240620")
|
|
print(fund_etf_spot_ths_df)
|