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
243 lines
8.0 KiB
Python
243 lines
8.0 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2024/10/6 17:00
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Desc: 集思录-T+0 QDII
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集思录：https://www.jisilu.cn/data/qdii/#qdiie
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"""
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import pandas as pd
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from akshare.request import make_request_with_retry_json
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def qdii_e_index_jsl(cookie: str = "") -> pd.DataFrame:
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"""
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集思录-T+0 QDII-欧美市场-欧美指数
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https://www.jisilu.cn/data/qdii/#qdiia
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:return: T+0 QDII-亚洲市场
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:rtype: pandas.DataFrame
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"""
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url = "https://www.jisilu.cn/data/qdii/qdii_list/E"
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params = {
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"___jsl": "LST___t=1728207798534",
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"rp": "22",
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}
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headers = {
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"cookie": cookie,
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}
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data_json = make_request_with_retry_json(url, params, headers=headers)
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temp_df = pd.DataFrame([item["cell"] for item in data_json["rows"]])
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temp_df.rename(
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columns={
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"fund_id": "代码",
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"fund_nm": "名称",
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"price": "现价",
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"increase_rt": "涨幅",
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"volume": "成交",
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"amount": "场内份额",
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"amount_incr": "场内新增",
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"fund_nav": "T-2净值",
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"nav_dt": "净值日期",
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"estimate_value": "T-1估值",
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"last_est_dt": "估值日期",
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"discount_rt": "T-1溢价率",
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"index_nm": "相关标的",
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"ref_increase_rt": "T-1指数涨幅",
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"apply_fee": "申购费",
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"redeem_fee": "赎回费",
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"mt_fee": "托管费",
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"issuer_nm": "基金公司",
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},
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inplace=True,
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)
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temp_df = temp_df[
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[
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"代码",
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"名称",
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"现价",
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"涨幅",
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"成交",
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"场内份额",
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"场内新增",
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"T-2净值",
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"净值日期",
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"T-1估值",
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"估值日期",
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"T-1溢价率",
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"相关标的",
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"T-1指数涨幅",
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"申购费",
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"赎回费",
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"托管费",
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"基金公司",
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]
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]
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temp_df["净值日期"] = pd.to_datetime(temp_df["净值日期"], errors="coerce").dt.date
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temp_df["估值日期"] = pd.to_datetime(temp_df["估值日期"], errors="coerce").dt.date
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temp_df["现价"] = pd.to_numeric(temp_df["现价"], errors="coerce")
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temp_df["成交"] = pd.to_numeric(temp_df["成交"], errors="coerce")
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temp_df["场内份额"] = pd.to_numeric(temp_df["场内份额"], errors="coerce")
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temp_df["场内新增"] = pd.to_numeric(temp_df["场内新增"], errors="coerce")
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temp_df["T-2净值"] = pd.to_numeric(temp_df["T-2净值"], errors="coerce")
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temp_df["T-1估值"] = pd.to_numeric(temp_df["T-1估值"], errors="coerce")
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temp_df["托管费"] = pd.to_numeric(temp_df["托管费"], errors="coerce")
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return temp_df
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def qdii_e_comm_jsl(cookie: str = "") -> pd.DataFrame:
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"""
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集思录-T+0 QDII-欧美市场-商品
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https://www.jisilu.cn/data/qdii/#qdiia
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:return: T+0 QDII-欧美市场-商品
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:rtype: pandas.DataFrame
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"""
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url = "https://www.jisilu.cn/data/qdii/qdii_list/E"
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params = {
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"___jsl": "LST___t=1728207798534",
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"rp": "22",
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}
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headers = {
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"cookie": cookie
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}
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data_json = make_request_with_retry_json(url, params=params, headers=headers)
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temp_df = pd.DataFrame([item["cell"] for item in data_json["rows"]])
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temp_df.rename(
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columns={
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"fund_id": "代码",
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"fund_nm": "名称",
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"price": "现价",
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"increase_rt": "涨幅",
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"volume": "成交",
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"amount": "场内份额",
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"amount_incr": "场内新增",
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"fund_nav": "T-2净值",
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"nav_dt": "净值日期",
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"estimate_value": "T-1估值",
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"last_est_dt": "估值日期",
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"discount_rt": "T-1溢价率",
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"index_nm": "相关标的",
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"ref_increase_rt": "T-1指数涨幅",
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"apply_fee": "申购费",
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"redeem_fee": "赎回费",
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"mt_fee": "托管费",
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"issuer_nm": "基金公司",
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},
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inplace=True,
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)
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temp_df = temp_df[
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[
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"代码",
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"名称",
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"现价",
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"涨幅",
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"成交",
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"场内份额",
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"场内新增",
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"T-2净值",
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"净值日期",
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"T-1估值",
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"估值日期",
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"T-1溢价率",
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"相关标的",
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"T-1指数涨幅",
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"申购费",
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"赎回费",
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"托管费",
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"基金公司",
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]
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]
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temp_df["净值日期"] = pd.to_datetime(temp_df["净值日期"], errors="coerce").dt.date
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temp_df["估值日期"] = pd.to_datetime(temp_df["估值日期"], errors="coerce").dt.date
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temp_df["现价"] = pd.to_numeric(temp_df["现价"], errors="coerce")
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temp_df["成交"] = pd.to_numeric(temp_df["成交"], errors="coerce")
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temp_df["场内份额"] = pd.to_numeric(temp_df["场内份额"], errors="coerce")
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temp_df["场内新增"] = pd.to_numeric(temp_df["场内新增"], errors="coerce")
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temp_df["T-2净值"] = pd.to_numeric(temp_df["T-2净值"], errors="coerce")
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temp_df["T-1估值"] = pd.to_numeric(temp_df["T-1估值"], errors="coerce")
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temp_df["托管费"] = pd.to_numeric(temp_df["托管费"], errors="coerce")
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return temp_df
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def qdii_a_index_jsl(cookie: str = "") -> pd.DataFrame:
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"""
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集思录-T+0 QDII-亚洲市场-亚洲指数
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https://www.jisilu.cn/data/qdii/#qdiia
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:return: T+0 QDII-亚洲市场-亚洲指数
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:rtype: pandas.DataFrame
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"""
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url = "https://www.jisilu.cn/data/qdii/qdii_list/A"
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params = {
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"___jsl": "LST___t=1728206439242",
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"rp": "22",
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}
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headers = {
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"cookie": cookie
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}
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data_json = make_request_with_retry_json(url, params=params, headers=headers)
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temp_df = pd.DataFrame([item["cell"] for item in data_json["rows"]])
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temp_df.rename(
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columns={
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"fund_id": "代码",
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"fund_nm": "名称",
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"price": "现价",
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"increase_rt": "涨幅",
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"volume": "成交",
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"amount": "场内份额",
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"amount_incr": "场内新增",
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"fund_nav": "净值",
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"nav_dt": "净值日期",
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"estimate_value": "估值",
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"discount_rt": "溢价率",
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"index_nm": "相关标的",
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"ref_increase_rt": "指数涨幅",
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"apply_fee": "申购费",
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"redeem_fee": "赎回费",
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"mt_fee": "托管费",
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"issuer_nm": "基金公司",
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},
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inplace=True,
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)
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temp_df = temp_df[
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[
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"代码",
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"名称",
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"现价",
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"涨幅",
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"成交",
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"场内份额",
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"场内新增",
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"净值",
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"净值日期",
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"估值",
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"溢价率",
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"相关标的",
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"指数涨幅",
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"申购费",
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"赎回费",
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"托管费",
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"基金公司",
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]
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]
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temp_df["净值日期"] = pd.to_datetime(temp_df["净值日期"], errors="coerce").dt.date
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temp_df["现价"] = pd.to_numeric(temp_df["现价"], errors="coerce")
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temp_df["成交"] = pd.to_numeric(temp_df["成交"], errors="coerce")
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temp_df["场内份额"] = pd.to_numeric(temp_df["场内份额"], errors="coerce")
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temp_df["场内新增"] = pd.to_numeric(temp_df["场内新增"], errors="coerce")
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temp_df["净值"] = pd.to_numeric(temp_df["净值"], errors="coerce")
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temp_df["估值"] = pd.to_numeric(temp_df["估值"], errors="coerce")
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temp_df["托管费"] = pd.to_numeric(temp_df["托管费"], errors="coerce")
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return temp_df
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if __name__ == "__main__":
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qdii_e_index_jsl_df = qdii_e_index_jsl()
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print(qdii_e_index_jsl_df)
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qdii_e_comm_jsl_df = qdii_e_comm_jsl()
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print(qdii_e_comm_jsl_df)
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qdii_a_index_jsl_df = qdii_a_index_jsl()
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print(qdii_a_index_jsl_df)
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